Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorder
Abstract Predicting lithium response (LiR) in bipolar disorder (BD) may inform treatment planning, but phenotypic heterogeneity complicates discovery of genomic markers. We hypothesized that patients with “exemplary phenotypes”—those whose clinical features are reliably associated with LiR and non-r...
Ausführliche Beschreibung
Autor*in: |
Abraham Nunes [verfasserIn] William Stone [verfasserIn] Raffaella Ardau [verfasserIn] Anne Berghöfer [verfasserIn] Alberto Bocchetta [verfasserIn] Caterina Chillotti [verfasserIn] Valeria Deiana [verfasserIn] Franziska Degenhardt [verfasserIn] Andreas J. Forstner [verfasserIn] Julie S. Garnham [verfasserIn] Eva Grof [verfasserIn] Tomas Hajek [verfasserIn] Mirko Manchia [verfasserIn] Manuel Mattheisen [verfasserIn] Francis McMahon [verfasserIn] Bruno Müller-Oerlinghausen [verfasserIn] Markus M. Nöthen [verfasserIn] Marco Pinna [verfasserIn] Claudia Pisanu [verfasserIn] Claire O’Donovan [verfasserIn] Marcella D. C. Rietschel [verfasserIn] Guy Rouleau [verfasserIn] Thomas Schulze [verfasserIn] Giovanni Severino [verfasserIn] Claire M. Slaney [verfasserIn] Alessio Squassina [verfasserIn] Aleksandra Suwalska [verfasserIn] Gustavo Turecki [verfasserIn] Rudolf Uher [verfasserIn] Petr Zvolsky [verfasserIn] Pablo Cervantes [verfasserIn] Maria del Zompo [verfasserIn] Paul Grof [verfasserIn] Janusz Rybakowski [verfasserIn] Leonardo Tondo [verfasserIn] Thomas Trappenberg [verfasserIn] Martin Alda [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2021 |
---|
Übergeordnetes Werk: |
In: Translational Psychiatry - Nature Publishing Group, 2012, 11(2021), 1, Seite 13 |
---|---|
Übergeordnetes Werk: |
volume:11 ; year:2021 ; number:1 ; pages:13 |
Links: |
---|
DOI / URN: |
10.1038/s41398-020-01148-y |
---|
Katalog-ID: |
DOAJ050412884 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | DOAJ050412884 | ||
003 | DE-627 | ||
005 | 20230308152742.0 | ||
007 | cr uuu---uuuuu | ||
008 | 230227s2021 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1038/s41398-020-01148-y |2 doi | |
035 | |a (DE-627)DOAJ050412884 | ||
035 | |a (DE-599)DOAJ148507cd1abd48b0b4092cfa43da61f1 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
050 | 0 | |a RC321-571 | |
100 | 0 | |a Abraham Nunes |e verfasserin |4 aut | |
245 | 1 | 0 | |a Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorder |
264 | 1 | |c 2021 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a Abstract Predicting lithium response (LiR) in bipolar disorder (BD) may inform treatment planning, but phenotypic heterogeneity complicates discovery of genomic markers. We hypothesized that patients with “exemplary phenotypes”—those whose clinical features are reliably associated with LiR and non-response (LiNR)—are more genetically separable than those with less exemplary phenotypes. Using clinical data collected from people with BD (n = 1266 across 7 centers; 34.7% responders), we computed a “clinical exemplar score,” which measures the degree to which a subject’s clinical phenotype is reliably predictive of LiR/LiNR. For patients whose genotypes were available (n = 321), we evaluated whether a subgroup of responders/non-responders with the top 25% of clinical exemplar scores (the “best clinical exemplars”) were more accurately classified based on genetic data, compared to a subgroup with the lowest 25% of clinical exemplar scores (the “poor clinical exemplars”). On average, the best clinical exemplars of LiR had a later illness onset, completely episodic clinical course, absence of rapid cycling and psychosis, and few psychiatric comorbidities. The best clinical exemplars of LiR and LiNR were genetically separable with an area under the receiver operating characteristic curve of 0.88 (IQR [0.83, 0.98]), compared to 0.66 [0.61, 0.80] (p = 0.0032) among poor clinical exemplars. Variants in the Alzheimer’s amyloid–secretase pathway, along with G-protein-coupled receptor, muscarinic acetylcholine, and histamine H1R signaling pathways were informative predictors. This study must be replicated on larger samples and extended to predict response to other mood stabilizers. | ||
653 | 0 | |a Neurosciences. Biological psychiatry. Neuropsychiatry | |
700 | 0 | |a William Stone |e verfasserin |4 aut | |
700 | 0 | |a Raffaella Ardau |e verfasserin |4 aut | |
700 | 0 | |a Anne Berghöfer |e verfasserin |4 aut | |
700 | 0 | |a Alberto Bocchetta |e verfasserin |4 aut | |
700 | 0 | |a Caterina Chillotti |e verfasserin |4 aut | |
700 | 0 | |a Valeria Deiana |e verfasserin |4 aut | |
700 | 0 | |a Franziska Degenhardt |e verfasserin |4 aut | |
700 | 0 | |a Andreas J. Forstner |e verfasserin |4 aut | |
700 | 0 | |a Julie S. Garnham |e verfasserin |4 aut | |
700 | 0 | |a Eva Grof |e verfasserin |4 aut | |
700 | 0 | |a Tomas Hajek |e verfasserin |4 aut | |
700 | 0 | |a Mirko Manchia |e verfasserin |4 aut | |
700 | 0 | |a Manuel Mattheisen |e verfasserin |4 aut | |
700 | 0 | |a Francis McMahon |e verfasserin |4 aut | |
700 | 0 | |a Bruno Müller-Oerlinghausen |e verfasserin |4 aut | |
700 | 0 | |a Markus M. Nöthen |e verfasserin |4 aut | |
700 | 0 | |a Marco Pinna |e verfasserin |4 aut | |
700 | 0 | |a Claudia Pisanu |e verfasserin |4 aut | |
700 | 0 | |a Claire O’Donovan |e verfasserin |4 aut | |
700 | 0 | |a Marcella D. C. Rietschel |e verfasserin |4 aut | |
700 | 0 | |a Guy Rouleau |e verfasserin |4 aut | |
700 | 0 | |a Thomas Schulze |e verfasserin |4 aut | |
700 | 0 | |a Giovanni Severino |e verfasserin |4 aut | |
700 | 0 | |a Claire M. Slaney |e verfasserin |4 aut | |
700 | 0 | |a Alessio Squassina |e verfasserin |4 aut | |
700 | 0 | |a Aleksandra Suwalska |e verfasserin |4 aut | |
700 | 0 | |a Gustavo Turecki |e verfasserin |4 aut | |
700 | 0 | |a Rudolf Uher |e verfasserin |4 aut | |
700 | 0 | |a Petr Zvolsky |e verfasserin |4 aut | |
700 | 0 | |a Pablo Cervantes |e verfasserin |4 aut | |
700 | 0 | |a Maria del Zompo |e verfasserin |4 aut | |
700 | 0 | |a Paul Grof |e verfasserin |4 aut | |
700 | 0 | |a Janusz Rybakowski |e verfasserin |4 aut | |
700 | 0 | |a Leonardo Tondo |e verfasserin |4 aut | |
700 | 0 | |a Thomas Trappenberg |e verfasserin |4 aut | |
700 | 0 | |a Martin Alda |e verfasserin |4 aut | |
773 | 0 | 8 | |i In |t Translational Psychiatry |d Nature Publishing Group, 2012 |g 11(2021), 1, Seite 13 |w (DE-627)660807378 |w (DE-600)2609311-X |x 21583188 |7 nnns |
773 | 1 | 8 | |g volume:11 |g year:2021 |g number:1 |g pages:13 |
856 | 4 | 0 | |u https://doi.org/10.1038/s41398-020-01148-y |z kostenfrei |
856 | 4 | 0 | |u https://doaj.org/article/148507cd1abd48b0b4092cfa43da61f1 |z kostenfrei |
856 | 4 | 0 | |u https://doi.org/10.1038/s41398-020-01148-y |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/2158-3188 |y Journal toc |z kostenfrei |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_DOAJ | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_23 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_39 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_60 | ||
912 | |a GBV_ILN_62 | ||
912 | |a GBV_ILN_63 | ||
912 | |a GBV_ILN_65 | ||
912 | |a GBV_ILN_69 | ||
912 | |a GBV_ILN_73 | ||
912 | |a GBV_ILN_74 | ||
912 | |a GBV_ILN_95 | ||
912 | |a GBV_ILN_105 | ||
912 | |a GBV_ILN_110 | ||
912 | |a GBV_ILN_151 | ||
912 | |a GBV_ILN_161 | ||
912 | |a GBV_ILN_170 | ||
912 | |a GBV_ILN_206 | ||
912 | |a GBV_ILN_213 | ||
912 | |a GBV_ILN_230 | ||
912 | |a GBV_ILN_285 | ||
912 | |a GBV_ILN_293 | ||
912 | |a GBV_ILN_602 | ||
912 | |a GBV_ILN_2014 | ||
912 | |a GBV_ILN_4012 | ||
912 | |a GBV_ILN_4037 | ||
912 | |a GBV_ILN_4112 | ||
912 | |a GBV_ILN_4125 | ||
912 | |a GBV_ILN_4126 | ||
912 | |a GBV_ILN_4249 | ||
912 | |a GBV_ILN_4305 | ||
912 | |a GBV_ILN_4306 | ||
912 | |a GBV_ILN_4307 | ||
912 | |a GBV_ILN_4313 | ||
912 | |a GBV_ILN_4322 | ||
912 | |a GBV_ILN_4323 | ||
912 | |a GBV_ILN_4324 | ||
912 | |a GBV_ILN_4325 | ||
912 | |a GBV_ILN_4338 | ||
912 | |a GBV_ILN_4367 | ||
912 | |a GBV_ILN_4700 | ||
951 | |a AR | ||
952 | |d 11 |j 2021 |e 1 |h 13 |
author_variant |
a n an w s ws r a ra a b ab a b ab c c cc v d vd f d fd a j f ajf j s g jsg e g eg t h th m m mm m m mm f m fm b m o bmo m m n mmn m p mp c p cp c o co m d c r mdcr g r gr t s ts g s gs c m s cms a s as a s as g t gt r u ru p z pz p c pc m d z mdz p g pg j r jr l t lt t t tt m a ma |
---|---|
matchkey_str |
article:21583188:2021----::xmlrcrnietfegntclyeaalpeoyeoltime |
hierarchy_sort_str |
2021 |
callnumber-subject-code |
RC |
publishDate |
2021 |
allfields |
10.1038/s41398-020-01148-y doi (DE-627)DOAJ050412884 (DE-599)DOAJ148507cd1abd48b0b4092cfa43da61f1 DE-627 ger DE-627 rakwb eng RC321-571 Abraham Nunes verfasserin aut Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorder 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Predicting lithium response (LiR) in bipolar disorder (BD) may inform treatment planning, but phenotypic heterogeneity complicates discovery of genomic markers. We hypothesized that patients with “exemplary phenotypes”—those whose clinical features are reliably associated with LiR and non-response (LiNR)—are more genetically separable than those with less exemplary phenotypes. Using clinical data collected from people with BD (n = 1266 across 7 centers; 34.7% responders), we computed a “clinical exemplar score,” which measures the degree to which a subject’s clinical phenotype is reliably predictive of LiR/LiNR. For patients whose genotypes were available (n = 321), we evaluated whether a subgroup of responders/non-responders with the top 25% of clinical exemplar scores (the “best clinical exemplars”) were more accurately classified based on genetic data, compared to a subgroup with the lowest 25% of clinical exemplar scores (the “poor clinical exemplars”). On average, the best clinical exemplars of LiR had a later illness onset, completely episodic clinical course, absence of rapid cycling and psychosis, and few psychiatric comorbidities. The best clinical exemplars of LiR and LiNR were genetically separable with an area under the receiver operating characteristic curve of 0.88 (IQR [0.83, 0.98]), compared to 0.66 [0.61, 0.80] (p = 0.0032) among poor clinical exemplars. Variants in the Alzheimer’s amyloid–secretase pathway, along with G-protein-coupled receptor, muscarinic acetylcholine, and histamine H1R signaling pathways were informative predictors. This study must be replicated on larger samples and extended to predict response to other mood stabilizers. Neurosciences. Biological psychiatry. Neuropsychiatry William Stone verfasserin aut Raffaella Ardau verfasserin aut Anne Berghöfer verfasserin aut Alberto Bocchetta verfasserin aut Caterina Chillotti verfasserin aut Valeria Deiana verfasserin aut Franziska Degenhardt verfasserin aut Andreas J. Forstner verfasserin aut Julie S. Garnham verfasserin aut Eva Grof verfasserin aut Tomas Hajek verfasserin aut Mirko Manchia verfasserin aut Manuel Mattheisen verfasserin aut Francis McMahon verfasserin aut Bruno Müller-Oerlinghausen verfasserin aut Markus M. Nöthen verfasserin aut Marco Pinna verfasserin aut Claudia Pisanu verfasserin aut Claire O’Donovan verfasserin aut Marcella D. C. Rietschel verfasserin aut Guy Rouleau verfasserin aut Thomas Schulze verfasserin aut Giovanni Severino verfasserin aut Claire M. Slaney verfasserin aut Alessio Squassina verfasserin aut Aleksandra Suwalska verfasserin aut Gustavo Turecki verfasserin aut Rudolf Uher verfasserin aut Petr Zvolsky verfasserin aut Pablo Cervantes verfasserin aut Maria del Zompo verfasserin aut Paul Grof verfasserin aut Janusz Rybakowski verfasserin aut Leonardo Tondo verfasserin aut Thomas Trappenberg verfasserin aut Martin Alda verfasserin aut In Translational Psychiatry Nature Publishing Group, 2012 11(2021), 1, Seite 13 (DE-627)660807378 (DE-600)2609311-X 21583188 nnns volume:11 year:2021 number:1 pages:13 https://doi.org/10.1038/s41398-020-01148-y kostenfrei https://doaj.org/article/148507cd1abd48b0b4092cfa43da61f1 kostenfrei https://doi.org/10.1038/s41398-020-01148-y kostenfrei https://doaj.org/toc/2158-3188 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 1 13 |
spelling |
10.1038/s41398-020-01148-y doi (DE-627)DOAJ050412884 (DE-599)DOAJ148507cd1abd48b0b4092cfa43da61f1 DE-627 ger DE-627 rakwb eng RC321-571 Abraham Nunes verfasserin aut Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorder 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Predicting lithium response (LiR) in bipolar disorder (BD) may inform treatment planning, but phenotypic heterogeneity complicates discovery of genomic markers. We hypothesized that patients with “exemplary phenotypes”—those whose clinical features are reliably associated with LiR and non-response (LiNR)—are more genetically separable than those with less exemplary phenotypes. Using clinical data collected from people with BD (n = 1266 across 7 centers; 34.7% responders), we computed a “clinical exemplar score,” which measures the degree to which a subject’s clinical phenotype is reliably predictive of LiR/LiNR. For patients whose genotypes were available (n = 321), we evaluated whether a subgroup of responders/non-responders with the top 25% of clinical exemplar scores (the “best clinical exemplars”) were more accurately classified based on genetic data, compared to a subgroup with the lowest 25% of clinical exemplar scores (the “poor clinical exemplars”). On average, the best clinical exemplars of LiR had a later illness onset, completely episodic clinical course, absence of rapid cycling and psychosis, and few psychiatric comorbidities. The best clinical exemplars of LiR and LiNR were genetically separable with an area under the receiver operating characteristic curve of 0.88 (IQR [0.83, 0.98]), compared to 0.66 [0.61, 0.80] (p = 0.0032) among poor clinical exemplars. Variants in the Alzheimer’s amyloid–secretase pathway, along with G-protein-coupled receptor, muscarinic acetylcholine, and histamine H1R signaling pathways were informative predictors. This study must be replicated on larger samples and extended to predict response to other mood stabilizers. Neurosciences. Biological psychiatry. Neuropsychiatry William Stone verfasserin aut Raffaella Ardau verfasserin aut Anne Berghöfer verfasserin aut Alberto Bocchetta verfasserin aut Caterina Chillotti verfasserin aut Valeria Deiana verfasserin aut Franziska Degenhardt verfasserin aut Andreas J. Forstner verfasserin aut Julie S. Garnham verfasserin aut Eva Grof verfasserin aut Tomas Hajek verfasserin aut Mirko Manchia verfasserin aut Manuel Mattheisen verfasserin aut Francis McMahon verfasserin aut Bruno Müller-Oerlinghausen verfasserin aut Markus M. Nöthen verfasserin aut Marco Pinna verfasserin aut Claudia Pisanu verfasserin aut Claire O’Donovan verfasserin aut Marcella D. C. Rietschel verfasserin aut Guy Rouleau verfasserin aut Thomas Schulze verfasserin aut Giovanni Severino verfasserin aut Claire M. Slaney verfasserin aut Alessio Squassina verfasserin aut Aleksandra Suwalska verfasserin aut Gustavo Turecki verfasserin aut Rudolf Uher verfasserin aut Petr Zvolsky verfasserin aut Pablo Cervantes verfasserin aut Maria del Zompo verfasserin aut Paul Grof verfasserin aut Janusz Rybakowski verfasserin aut Leonardo Tondo verfasserin aut Thomas Trappenberg verfasserin aut Martin Alda verfasserin aut In Translational Psychiatry Nature Publishing Group, 2012 11(2021), 1, Seite 13 (DE-627)660807378 (DE-600)2609311-X 21583188 nnns volume:11 year:2021 number:1 pages:13 https://doi.org/10.1038/s41398-020-01148-y kostenfrei https://doaj.org/article/148507cd1abd48b0b4092cfa43da61f1 kostenfrei https://doi.org/10.1038/s41398-020-01148-y kostenfrei https://doaj.org/toc/2158-3188 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 1 13 |
allfields_unstemmed |
10.1038/s41398-020-01148-y doi (DE-627)DOAJ050412884 (DE-599)DOAJ148507cd1abd48b0b4092cfa43da61f1 DE-627 ger DE-627 rakwb eng RC321-571 Abraham Nunes verfasserin aut Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorder 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Predicting lithium response (LiR) in bipolar disorder (BD) may inform treatment planning, but phenotypic heterogeneity complicates discovery of genomic markers. We hypothesized that patients with “exemplary phenotypes”—those whose clinical features are reliably associated with LiR and non-response (LiNR)—are more genetically separable than those with less exemplary phenotypes. Using clinical data collected from people with BD (n = 1266 across 7 centers; 34.7% responders), we computed a “clinical exemplar score,” which measures the degree to which a subject’s clinical phenotype is reliably predictive of LiR/LiNR. For patients whose genotypes were available (n = 321), we evaluated whether a subgroup of responders/non-responders with the top 25% of clinical exemplar scores (the “best clinical exemplars”) were more accurately classified based on genetic data, compared to a subgroup with the lowest 25% of clinical exemplar scores (the “poor clinical exemplars”). On average, the best clinical exemplars of LiR had a later illness onset, completely episodic clinical course, absence of rapid cycling and psychosis, and few psychiatric comorbidities. The best clinical exemplars of LiR and LiNR were genetically separable with an area under the receiver operating characteristic curve of 0.88 (IQR [0.83, 0.98]), compared to 0.66 [0.61, 0.80] (p = 0.0032) among poor clinical exemplars. Variants in the Alzheimer’s amyloid–secretase pathway, along with G-protein-coupled receptor, muscarinic acetylcholine, and histamine H1R signaling pathways were informative predictors. This study must be replicated on larger samples and extended to predict response to other mood stabilizers. Neurosciences. Biological psychiatry. Neuropsychiatry William Stone verfasserin aut Raffaella Ardau verfasserin aut Anne Berghöfer verfasserin aut Alberto Bocchetta verfasserin aut Caterina Chillotti verfasserin aut Valeria Deiana verfasserin aut Franziska Degenhardt verfasserin aut Andreas J. Forstner verfasserin aut Julie S. Garnham verfasserin aut Eva Grof verfasserin aut Tomas Hajek verfasserin aut Mirko Manchia verfasserin aut Manuel Mattheisen verfasserin aut Francis McMahon verfasserin aut Bruno Müller-Oerlinghausen verfasserin aut Markus M. Nöthen verfasserin aut Marco Pinna verfasserin aut Claudia Pisanu verfasserin aut Claire O’Donovan verfasserin aut Marcella D. C. Rietschel verfasserin aut Guy Rouleau verfasserin aut Thomas Schulze verfasserin aut Giovanni Severino verfasserin aut Claire M. Slaney verfasserin aut Alessio Squassina verfasserin aut Aleksandra Suwalska verfasserin aut Gustavo Turecki verfasserin aut Rudolf Uher verfasserin aut Petr Zvolsky verfasserin aut Pablo Cervantes verfasserin aut Maria del Zompo verfasserin aut Paul Grof verfasserin aut Janusz Rybakowski verfasserin aut Leonardo Tondo verfasserin aut Thomas Trappenberg verfasserin aut Martin Alda verfasserin aut In Translational Psychiatry Nature Publishing Group, 2012 11(2021), 1, Seite 13 (DE-627)660807378 (DE-600)2609311-X 21583188 nnns volume:11 year:2021 number:1 pages:13 https://doi.org/10.1038/s41398-020-01148-y kostenfrei https://doaj.org/article/148507cd1abd48b0b4092cfa43da61f1 kostenfrei https://doi.org/10.1038/s41398-020-01148-y kostenfrei https://doaj.org/toc/2158-3188 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 1 13 |
allfieldsGer |
10.1038/s41398-020-01148-y doi (DE-627)DOAJ050412884 (DE-599)DOAJ148507cd1abd48b0b4092cfa43da61f1 DE-627 ger DE-627 rakwb eng RC321-571 Abraham Nunes verfasserin aut Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorder 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Predicting lithium response (LiR) in bipolar disorder (BD) may inform treatment planning, but phenotypic heterogeneity complicates discovery of genomic markers. We hypothesized that patients with “exemplary phenotypes”—those whose clinical features are reliably associated with LiR and non-response (LiNR)—are more genetically separable than those with less exemplary phenotypes. Using clinical data collected from people with BD (n = 1266 across 7 centers; 34.7% responders), we computed a “clinical exemplar score,” which measures the degree to which a subject’s clinical phenotype is reliably predictive of LiR/LiNR. For patients whose genotypes were available (n = 321), we evaluated whether a subgroup of responders/non-responders with the top 25% of clinical exemplar scores (the “best clinical exemplars”) were more accurately classified based on genetic data, compared to a subgroup with the lowest 25% of clinical exemplar scores (the “poor clinical exemplars”). On average, the best clinical exemplars of LiR had a later illness onset, completely episodic clinical course, absence of rapid cycling and psychosis, and few psychiatric comorbidities. The best clinical exemplars of LiR and LiNR were genetically separable with an area under the receiver operating characteristic curve of 0.88 (IQR [0.83, 0.98]), compared to 0.66 [0.61, 0.80] (p = 0.0032) among poor clinical exemplars. Variants in the Alzheimer’s amyloid–secretase pathway, along with G-protein-coupled receptor, muscarinic acetylcholine, and histamine H1R signaling pathways were informative predictors. This study must be replicated on larger samples and extended to predict response to other mood stabilizers. Neurosciences. Biological psychiatry. Neuropsychiatry William Stone verfasserin aut Raffaella Ardau verfasserin aut Anne Berghöfer verfasserin aut Alberto Bocchetta verfasserin aut Caterina Chillotti verfasserin aut Valeria Deiana verfasserin aut Franziska Degenhardt verfasserin aut Andreas J. Forstner verfasserin aut Julie S. Garnham verfasserin aut Eva Grof verfasserin aut Tomas Hajek verfasserin aut Mirko Manchia verfasserin aut Manuel Mattheisen verfasserin aut Francis McMahon verfasserin aut Bruno Müller-Oerlinghausen verfasserin aut Markus M. Nöthen verfasserin aut Marco Pinna verfasserin aut Claudia Pisanu verfasserin aut Claire O’Donovan verfasserin aut Marcella D. C. Rietschel verfasserin aut Guy Rouleau verfasserin aut Thomas Schulze verfasserin aut Giovanni Severino verfasserin aut Claire M. Slaney verfasserin aut Alessio Squassina verfasserin aut Aleksandra Suwalska verfasserin aut Gustavo Turecki verfasserin aut Rudolf Uher verfasserin aut Petr Zvolsky verfasserin aut Pablo Cervantes verfasserin aut Maria del Zompo verfasserin aut Paul Grof verfasserin aut Janusz Rybakowski verfasserin aut Leonardo Tondo verfasserin aut Thomas Trappenberg verfasserin aut Martin Alda verfasserin aut In Translational Psychiatry Nature Publishing Group, 2012 11(2021), 1, Seite 13 (DE-627)660807378 (DE-600)2609311-X 21583188 nnns volume:11 year:2021 number:1 pages:13 https://doi.org/10.1038/s41398-020-01148-y kostenfrei https://doaj.org/article/148507cd1abd48b0b4092cfa43da61f1 kostenfrei https://doi.org/10.1038/s41398-020-01148-y kostenfrei https://doaj.org/toc/2158-3188 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 1 13 |
allfieldsSound |
10.1038/s41398-020-01148-y doi (DE-627)DOAJ050412884 (DE-599)DOAJ148507cd1abd48b0b4092cfa43da61f1 DE-627 ger DE-627 rakwb eng RC321-571 Abraham Nunes verfasserin aut Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorder 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Predicting lithium response (LiR) in bipolar disorder (BD) may inform treatment planning, but phenotypic heterogeneity complicates discovery of genomic markers. We hypothesized that patients with “exemplary phenotypes”—those whose clinical features are reliably associated with LiR and non-response (LiNR)—are more genetically separable than those with less exemplary phenotypes. Using clinical data collected from people with BD (n = 1266 across 7 centers; 34.7% responders), we computed a “clinical exemplar score,” which measures the degree to which a subject’s clinical phenotype is reliably predictive of LiR/LiNR. For patients whose genotypes were available (n = 321), we evaluated whether a subgroup of responders/non-responders with the top 25% of clinical exemplar scores (the “best clinical exemplars”) were more accurately classified based on genetic data, compared to a subgroup with the lowest 25% of clinical exemplar scores (the “poor clinical exemplars”). On average, the best clinical exemplars of LiR had a later illness onset, completely episodic clinical course, absence of rapid cycling and psychosis, and few psychiatric comorbidities. The best clinical exemplars of LiR and LiNR were genetically separable with an area under the receiver operating characteristic curve of 0.88 (IQR [0.83, 0.98]), compared to 0.66 [0.61, 0.80] (p = 0.0032) among poor clinical exemplars. Variants in the Alzheimer’s amyloid–secretase pathway, along with G-protein-coupled receptor, muscarinic acetylcholine, and histamine H1R signaling pathways were informative predictors. This study must be replicated on larger samples and extended to predict response to other mood stabilizers. Neurosciences. Biological psychiatry. Neuropsychiatry William Stone verfasserin aut Raffaella Ardau verfasserin aut Anne Berghöfer verfasserin aut Alberto Bocchetta verfasserin aut Caterina Chillotti verfasserin aut Valeria Deiana verfasserin aut Franziska Degenhardt verfasserin aut Andreas J. Forstner verfasserin aut Julie S. Garnham verfasserin aut Eva Grof verfasserin aut Tomas Hajek verfasserin aut Mirko Manchia verfasserin aut Manuel Mattheisen verfasserin aut Francis McMahon verfasserin aut Bruno Müller-Oerlinghausen verfasserin aut Markus M. Nöthen verfasserin aut Marco Pinna verfasserin aut Claudia Pisanu verfasserin aut Claire O’Donovan verfasserin aut Marcella D. C. Rietschel verfasserin aut Guy Rouleau verfasserin aut Thomas Schulze verfasserin aut Giovanni Severino verfasserin aut Claire M. Slaney verfasserin aut Alessio Squassina verfasserin aut Aleksandra Suwalska verfasserin aut Gustavo Turecki verfasserin aut Rudolf Uher verfasserin aut Petr Zvolsky verfasserin aut Pablo Cervantes verfasserin aut Maria del Zompo verfasserin aut Paul Grof verfasserin aut Janusz Rybakowski verfasserin aut Leonardo Tondo verfasserin aut Thomas Trappenberg verfasserin aut Martin Alda verfasserin aut In Translational Psychiatry Nature Publishing Group, 2012 11(2021), 1, Seite 13 (DE-627)660807378 (DE-600)2609311-X 21583188 nnns volume:11 year:2021 number:1 pages:13 https://doi.org/10.1038/s41398-020-01148-y kostenfrei https://doaj.org/article/148507cd1abd48b0b4092cfa43da61f1 kostenfrei https://doi.org/10.1038/s41398-020-01148-y kostenfrei https://doaj.org/toc/2158-3188 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 1 13 |
language |
English |
source |
In Translational Psychiatry 11(2021), 1, Seite 13 volume:11 year:2021 number:1 pages:13 |
sourceStr |
In Translational Psychiatry 11(2021), 1, Seite 13 volume:11 year:2021 number:1 pages:13 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Neurosciences. Biological psychiatry. Neuropsychiatry |
isfreeaccess_bool |
true |
container_title |
Translational Psychiatry |
authorswithroles_txt_mv |
Abraham Nunes @@aut@@ William Stone @@aut@@ Raffaella Ardau @@aut@@ Anne Berghöfer @@aut@@ Alberto Bocchetta @@aut@@ Caterina Chillotti @@aut@@ Valeria Deiana @@aut@@ Franziska Degenhardt @@aut@@ Andreas J. Forstner @@aut@@ Julie S. Garnham @@aut@@ Eva Grof @@aut@@ Tomas Hajek @@aut@@ Mirko Manchia @@aut@@ Manuel Mattheisen @@aut@@ Francis McMahon @@aut@@ Bruno Müller-Oerlinghausen @@aut@@ Markus M. Nöthen @@aut@@ Marco Pinna @@aut@@ Claudia Pisanu @@aut@@ Claire O’Donovan @@aut@@ Marcella D. C. Rietschel @@aut@@ Guy Rouleau @@aut@@ Thomas Schulze @@aut@@ Giovanni Severino @@aut@@ Claire M. Slaney @@aut@@ Alessio Squassina @@aut@@ Aleksandra Suwalska @@aut@@ Gustavo Turecki @@aut@@ Rudolf Uher @@aut@@ Petr Zvolsky @@aut@@ Pablo Cervantes @@aut@@ Maria del Zompo @@aut@@ Paul Grof @@aut@@ Janusz Rybakowski @@aut@@ Leonardo Tondo @@aut@@ Thomas Trappenberg @@aut@@ Martin Alda @@aut@@ |
publishDateDaySort_date |
2021-01-01T00:00:00Z |
hierarchy_top_id |
660807378 |
id |
DOAJ050412884 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ050412884</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308152742.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1038/s41398-020-01148-y</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ050412884</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ148507cd1abd48b0b4092cfa43da61f1</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC321-571</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Abraham Nunes</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorder</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Predicting lithium response (LiR) in bipolar disorder (BD) may inform treatment planning, but phenotypic heterogeneity complicates discovery of genomic markers. We hypothesized that patients with “exemplary phenotypes”—those whose clinical features are reliably associated with LiR and non-response (LiNR)—are more genetically separable than those with less exemplary phenotypes. Using clinical data collected from people with BD (n = 1266 across 7 centers; 34.7% responders), we computed a “clinical exemplar score,” which measures the degree to which a subject’s clinical phenotype is reliably predictive of LiR/LiNR. For patients whose genotypes were available (n = 321), we evaluated whether a subgroup of responders/non-responders with the top 25% of clinical exemplar scores (the “best clinical exemplars”) were more accurately classified based on genetic data, compared to a subgroup with the lowest 25% of clinical exemplar scores (the “poor clinical exemplars”). On average, the best clinical exemplars of LiR had a later illness onset, completely episodic clinical course, absence of rapid cycling and psychosis, and few psychiatric comorbidities. The best clinical exemplars of LiR and LiNR were genetically separable with an area under the receiver operating characteristic curve of 0.88 (IQR [0.83, 0.98]), compared to 0.66 [0.61, 0.80] (p = 0.0032) among poor clinical exemplars. Variants in the Alzheimer’s amyloid–secretase pathway, along with G-protein-coupled receptor, muscarinic acetylcholine, and histamine H1R signaling pathways were informative predictors. This study must be replicated on larger samples and extended to predict response to other mood stabilizers.</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Neurosciences. Biological psychiatry. Neuropsychiatry</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">William Stone</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Raffaella Ardau</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Anne Berghöfer</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Alberto Bocchetta</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Caterina Chillotti</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Valeria Deiana</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Franziska Degenhardt</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Andreas J. Forstner</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Julie S. Garnham</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Eva Grof</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Tomas Hajek</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mirko Manchia</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Manuel Mattheisen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Francis McMahon</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Bruno Müller-Oerlinghausen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Markus M. Nöthen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Marco Pinna</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Claudia Pisanu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Claire O’Donovan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Marcella D. C. Rietschel</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Guy Rouleau</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Thomas Schulze</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Giovanni Severino</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Claire M. Slaney</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Alessio Squassina</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Aleksandra Suwalska</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Gustavo Turecki</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Rudolf Uher</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Petr Zvolsky</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Pablo Cervantes</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Maria del Zompo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Paul Grof</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Janusz Rybakowski</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Leonardo Tondo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Thomas Trappenberg</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Martin Alda</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Translational Psychiatry</subfield><subfield code="d">Nature Publishing Group, 2012</subfield><subfield code="g">11(2021), 1, Seite 13</subfield><subfield code="w">(DE-627)660807378</subfield><subfield code="w">(DE-600)2609311-X</subfield><subfield code="x">21583188</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:11</subfield><subfield code="g">year:2021</subfield><subfield code="g">number:1</subfield><subfield code="g">pages:13</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1038/s41398-020-01148-y</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/148507cd1abd48b0b4092cfa43da61f1</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1038/s41398-020-01148-y</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2158-3188</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">11</subfield><subfield code="j">2021</subfield><subfield code="e">1</subfield><subfield code="h">13</subfield></datafield></record></collection>
|
callnumber-first |
R - Medicine |
author |
Abraham Nunes |
spellingShingle |
Abraham Nunes misc RC321-571 misc Neurosciences. Biological psychiatry. Neuropsychiatry Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorder |
authorStr |
Abraham Nunes |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)660807378 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut |
collection |
DOAJ |
remote_str |
true |
callnumber-label |
RC321-571 |
illustrated |
Not Illustrated |
issn |
21583188 |
topic_title |
RC321-571 Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorder |
topic |
misc RC321-571 misc Neurosciences. Biological psychiatry. Neuropsychiatry |
topic_unstemmed |
misc RC321-571 misc Neurosciences. Biological psychiatry. Neuropsychiatry |
topic_browse |
misc RC321-571 misc Neurosciences. Biological psychiatry. Neuropsychiatry |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Translational Psychiatry |
hierarchy_parent_id |
660807378 |
hierarchy_top_title |
Translational Psychiatry |
isfreeaccess_txt |
true |
familylinks_str_mv |
(DE-627)660807378 (DE-600)2609311-X |
title |
Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorder |
ctrlnum |
(DE-627)DOAJ050412884 (DE-599)DOAJ148507cd1abd48b0b4092cfa43da61f1 |
title_full |
Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorder |
author_sort |
Abraham Nunes |
journal |
Translational Psychiatry |
journalStr |
Translational Psychiatry |
callnumber-first-code |
R |
lang_code |
eng |
isOA_bool |
true |
recordtype |
marc |
publishDateSort |
2021 |
contenttype_str_mv |
txt |
container_start_page |
13 |
author_browse |
Abraham Nunes William Stone Raffaella Ardau Anne Berghöfer Alberto Bocchetta Caterina Chillotti Valeria Deiana Franziska Degenhardt Andreas J. Forstner Julie S. Garnham Eva Grof Tomas Hajek Mirko Manchia Manuel Mattheisen Francis McMahon Bruno Müller-Oerlinghausen Markus M. Nöthen Marco Pinna Claudia Pisanu Claire O’Donovan Marcella D. C. Rietschel Guy Rouleau Thomas Schulze Giovanni Severino Claire M. Slaney Alessio Squassina Aleksandra Suwalska Gustavo Turecki Rudolf Uher Petr Zvolsky Pablo Cervantes Maria del Zompo Paul Grof Janusz Rybakowski Leonardo Tondo Thomas Trappenberg Martin Alda |
container_volume |
11 |
class |
RC321-571 |
format_se |
Elektronische Aufsätze |
author-letter |
Abraham Nunes |
doi_str_mv |
10.1038/s41398-020-01148-y |
author2-role |
verfasserin |
title_sort |
exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorder |
callnumber |
RC321-571 |
title_auth |
Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorder |
abstract |
Abstract Predicting lithium response (LiR) in bipolar disorder (BD) may inform treatment planning, but phenotypic heterogeneity complicates discovery of genomic markers. We hypothesized that patients with “exemplary phenotypes”—those whose clinical features are reliably associated with LiR and non-response (LiNR)—are more genetically separable than those with less exemplary phenotypes. Using clinical data collected from people with BD (n = 1266 across 7 centers; 34.7% responders), we computed a “clinical exemplar score,” which measures the degree to which a subject’s clinical phenotype is reliably predictive of LiR/LiNR. For patients whose genotypes were available (n = 321), we evaluated whether a subgroup of responders/non-responders with the top 25% of clinical exemplar scores (the “best clinical exemplars”) were more accurately classified based on genetic data, compared to a subgroup with the lowest 25% of clinical exemplar scores (the “poor clinical exemplars”). On average, the best clinical exemplars of LiR had a later illness onset, completely episodic clinical course, absence of rapid cycling and psychosis, and few psychiatric comorbidities. The best clinical exemplars of LiR and LiNR were genetically separable with an area under the receiver operating characteristic curve of 0.88 (IQR [0.83, 0.98]), compared to 0.66 [0.61, 0.80] (p = 0.0032) among poor clinical exemplars. Variants in the Alzheimer’s amyloid–secretase pathway, along with G-protein-coupled receptor, muscarinic acetylcholine, and histamine H1R signaling pathways were informative predictors. This study must be replicated on larger samples and extended to predict response to other mood stabilizers. |
abstractGer |
Abstract Predicting lithium response (LiR) in bipolar disorder (BD) may inform treatment planning, but phenotypic heterogeneity complicates discovery of genomic markers. We hypothesized that patients with “exemplary phenotypes”—those whose clinical features are reliably associated with LiR and non-response (LiNR)—are more genetically separable than those with less exemplary phenotypes. Using clinical data collected from people with BD (n = 1266 across 7 centers; 34.7% responders), we computed a “clinical exemplar score,” which measures the degree to which a subject’s clinical phenotype is reliably predictive of LiR/LiNR. For patients whose genotypes were available (n = 321), we evaluated whether a subgroup of responders/non-responders with the top 25% of clinical exemplar scores (the “best clinical exemplars”) were more accurately classified based on genetic data, compared to a subgroup with the lowest 25% of clinical exemplar scores (the “poor clinical exemplars”). On average, the best clinical exemplars of LiR had a later illness onset, completely episodic clinical course, absence of rapid cycling and psychosis, and few psychiatric comorbidities. The best clinical exemplars of LiR and LiNR were genetically separable with an area under the receiver operating characteristic curve of 0.88 (IQR [0.83, 0.98]), compared to 0.66 [0.61, 0.80] (p = 0.0032) among poor clinical exemplars. Variants in the Alzheimer’s amyloid–secretase pathway, along with G-protein-coupled receptor, muscarinic acetylcholine, and histamine H1R signaling pathways were informative predictors. This study must be replicated on larger samples and extended to predict response to other mood stabilizers. |
abstract_unstemmed |
Abstract Predicting lithium response (LiR) in bipolar disorder (BD) may inform treatment planning, but phenotypic heterogeneity complicates discovery of genomic markers. We hypothesized that patients with “exemplary phenotypes”—those whose clinical features are reliably associated with LiR and non-response (LiNR)—are more genetically separable than those with less exemplary phenotypes. Using clinical data collected from people with BD (n = 1266 across 7 centers; 34.7% responders), we computed a “clinical exemplar score,” which measures the degree to which a subject’s clinical phenotype is reliably predictive of LiR/LiNR. For patients whose genotypes were available (n = 321), we evaluated whether a subgroup of responders/non-responders with the top 25% of clinical exemplar scores (the “best clinical exemplars”) were more accurately classified based on genetic data, compared to a subgroup with the lowest 25% of clinical exemplar scores (the “poor clinical exemplars”). On average, the best clinical exemplars of LiR had a later illness onset, completely episodic clinical course, absence of rapid cycling and psychosis, and few psychiatric comorbidities. The best clinical exemplars of LiR and LiNR were genetically separable with an area under the receiver operating characteristic curve of 0.88 (IQR [0.83, 0.98]), compared to 0.66 [0.61, 0.80] (p = 0.0032) among poor clinical exemplars. Variants in the Alzheimer’s amyloid–secretase pathway, along with G-protein-coupled receptor, muscarinic acetylcholine, and histamine H1R signaling pathways were informative predictors. This study must be replicated on larger samples and extended to predict response to other mood stabilizers. |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 |
container_issue |
1 |
title_short |
Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorder |
url |
https://doi.org/10.1038/s41398-020-01148-y https://doaj.org/article/148507cd1abd48b0b4092cfa43da61f1 https://doaj.org/toc/2158-3188 |
remote_bool |
true |
author2 |
William Stone Raffaella Ardau Anne Berghöfer Alberto Bocchetta Caterina Chillotti Valeria Deiana Franziska Degenhardt Andreas J. Forstner Julie S. Garnham Eva Grof Tomas Hajek Mirko Manchia Manuel Mattheisen Francis McMahon Bruno Müller-Oerlinghausen Markus M. Nöthen Marco Pinna Claudia Pisanu Claire O’Donovan Marcella D. C. Rietschel Guy Rouleau Thomas Schulze Giovanni Severino Claire M. Slaney Alessio Squassina Aleksandra Suwalska Gustavo Turecki Rudolf Uher Petr Zvolsky Pablo Cervantes Maria del Zompo Paul Grof Janusz Rybakowski Leonardo Tondo Thomas Trappenberg Martin Alda |
author2Str |
William Stone Raffaella Ardau Anne Berghöfer Alberto Bocchetta Caterina Chillotti Valeria Deiana Franziska Degenhardt Andreas J. Forstner Julie S. Garnham Eva Grof Tomas Hajek Mirko Manchia Manuel Mattheisen Francis McMahon Bruno Müller-Oerlinghausen Markus M. Nöthen Marco Pinna Claudia Pisanu Claire O’Donovan Marcella D. C. Rietschel Guy Rouleau Thomas Schulze Giovanni Severino Claire M. Slaney Alessio Squassina Aleksandra Suwalska Gustavo Turecki Rudolf Uher Petr Zvolsky Pablo Cervantes Maria del Zompo Paul Grof Janusz Rybakowski Leonardo Tondo Thomas Trappenberg Martin Alda |
ppnlink |
660807378 |
callnumber-subject |
RC - Internal Medicine |
mediatype_str_mv |
c |
isOA_txt |
true |
hochschulschrift_bool |
false |
doi_str |
10.1038/s41398-020-01148-y |
callnumber-a |
RC321-571 |
up_date |
2024-07-03T14:42:34.775Z |
_version_ |
1803569337235144704 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ050412884</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308152742.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1038/s41398-020-01148-y</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ050412884</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ148507cd1abd48b0b4092cfa43da61f1</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC321-571</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Abraham Nunes</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorder</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Predicting lithium response (LiR) in bipolar disorder (BD) may inform treatment planning, but phenotypic heterogeneity complicates discovery of genomic markers. We hypothesized that patients with “exemplary phenotypes”—those whose clinical features are reliably associated with LiR and non-response (LiNR)—are more genetically separable than those with less exemplary phenotypes. Using clinical data collected from people with BD (n = 1266 across 7 centers; 34.7% responders), we computed a “clinical exemplar score,” which measures the degree to which a subject’s clinical phenotype is reliably predictive of LiR/LiNR. For patients whose genotypes were available (n = 321), we evaluated whether a subgroup of responders/non-responders with the top 25% of clinical exemplar scores (the “best clinical exemplars”) were more accurately classified based on genetic data, compared to a subgroup with the lowest 25% of clinical exemplar scores (the “poor clinical exemplars”). On average, the best clinical exemplars of LiR had a later illness onset, completely episodic clinical course, absence of rapid cycling and psychosis, and few psychiatric comorbidities. The best clinical exemplars of LiR and LiNR were genetically separable with an area under the receiver operating characteristic curve of 0.88 (IQR [0.83, 0.98]), compared to 0.66 [0.61, 0.80] (p = 0.0032) among poor clinical exemplars. Variants in the Alzheimer’s amyloid–secretase pathway, along with G-protein-coupled receptor, muscarinic acetylcholine, and histamine H1R signaling pathways were informative predictors. This study must be replicated on larger samples and extended to predict response to other mood stabilizers.</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Neurosciences. Biological psychiatry. Neuropsychiatry</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">William Stone</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Raffaella Ardau</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Anne Berghöfer</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Alberto Bocchetta</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Caterina Chillotti</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Valeria Deiana</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Franziska Degenhardt</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Andreas J. Forstner</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Julie S. Garnham</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Eva Grof</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Tomas Hajek</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mirko Manchia</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Manuel Mattheisen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Francis McMahon</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Bruno Müller-Oerlinghausen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Markus M. Nöthen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Marco Pinna</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Claudia Pisanu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Claire O’Donovan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Marcella D. C. Rietschel</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Guy Rouleau</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Thomas Schulze</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Giovanni Severino</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Claire M. Slaney</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Alessio Squassina</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Aleksandra Suwalska</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Gustavo Turecki</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Rudolf Uher</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Petr Zvolsky</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Pablo Cervantes</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Maria del Zompo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Paul Grof</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Janusz Rybakowski</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Leonardo Tondo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Thomas Trappenberg</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Martin Alda</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Translational Psychiatry</subfield><subfield code="d">Nature Publishing Group, 2012</subfield><subfield code="g">11(2021), 1, Seite 13</subfield><subfield code="w">(DE-627)660807378</subfield><subfield code="w">(DE-600)2609311-X</subfield><subfield code="x">21583188</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:11</subfield><subfield code="g">year:2021</subfield><subfield code="g">number:1</subfield><subfield code="g">pages:13</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1038/s41398-020-01148-y</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/148507cd1abd48b0b4092cfa43da61f1</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1038/s41398-020-01148-y</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2158-3188</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">11</subfield><subfield code="j">2021</subfield><subfield code="e">1</subfield><subfield code="h">13</subfield></datafield></record></collection>
|
score |
7.400139 |