An analysis of two genome-wide association meta-analyses identifies a new locus for broad depression phenotype

Background: The genetics of depression has been explored in genome-wide association studies that focused on either major depressive disorder or depressive symptoms with mostly negative findings. A broad depression phenotype including both phenotypes has not been tested previously using a genome-wide...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Direk, Nese [verfasserIn] Rietschel, Marcella - 1957- [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	CHARGE consortium Depressive symptoms gene Genome-wide association study Major depressive disorder Psychiatric Genomics Consortium

Anmerkung:	Available online 8 December 2016 Gesehen am 09.07.2018
Umfang:	8

Übergeordnetes Werk:	Enthalten in: Biological psychiatry - Amsterdam [u.a.] : Elsevier Science, 1985, 82(2017), 5, Seite 322-329
Übergeordnetes Werk:	volume:82 ; year:2017 ; number:5 ; pages:322-329 ; extent:8

Links:	Volltext Volltext

DOI / URN:	10.1016/j.biopsych.2016.11.013

Katalog-ID:	1577422236

Internformat


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245	1	3	\|a An analysis of two genome-wide association meta-analyses identifies a new locus for broad depression phenotype \|c Nese Direk, Stephanie Williams, Jennifer A. Smith, Stephan Ripke, Tracy Air, Azmeraw T. Amare, Najaf Amin, Bernhard T. Baune, David A. Bennett, Douglas H. R. Blackwood, Dorret Boomsma, Gerome Breen, Henriette N. Buttenschøn, Enda M. Byrne, Anders D. Børglum, Enrique Castelao, Sven Cichon, Toni-Kim Clarke, Marilyn C. Cornelis, Udo Dannlowski, Philip L. De Jager, Ayse Demirkan, Enrico Domenici, Cornelia M. van Duijn, Erin C. Dunn, Johan G. Eriksson, Tonu Esko, Jessica D. Faul, Luigi Ferrucci, Myriam Fornage, Eco de Geus, Michael Gill, Scott D. Gordon, Hans Jörgen Grabe, Gerard van Grootheest, Steven P. Hamilton, Catharina A. Hartman, Andrew C. Heath, Karin Hek, Albert Hofman, Georg Homuth, Carsten Horn, Jouke Jan Hottenga, Sharon L. R. Kardia, Stefan Kloiber, Karestan Koenen, Zoltán Kutalik, Karl-Heinz Ladwig, Jari Lahti, Douglas F. Levinson, Cathryn M. Lewis, Glyn Lewis, Qingqin S. Li, David J. Llewellyn, Susanne Lucae, Kathryn L. Lunetta, Donald J. MacIntyre, Pamela Madden, Nicholas G. Martin, Andrew M. McIntosh, Andres Metspalu, Yuri Milaneschi, Grant W. Montgomery, Ole Mors, Thomas H. Mosley, Joanne M. Murabito, Bertram Müller-Myhsok, Markus M. Nöthen, Dale R. Nyholt, Michael C. O’Donovan, Brenda W. Penninx, Michele L. Pergadia, Roy Perlis, James B. Potash, Martin Preisig, Shaun M. Purcell, Jorge A. Quiroz, Katri Räikkönen, John P. Rice, Marcella Rietschel, Margarita Rivera, Thomas G. Schulze, Jianxin Shi, Stanley Shyn, Grant C. Sinnamon, Johannes H. Smit, Jordan W. Smoller, Harold Snieder, Toshiko Tanaka, Katherine E. Tansey, Alexander Teumer, Rudolf Uher, Daniel Umbricht, Sandra Van der Auwera, Erin B. Ware, David R. Weir, Myrna M. Weissman, Gonneke Willemsen, Jingyun Yang, Wei Zhao, Henning Tiemeier, and Patrick F. Sullivan
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520			\|a Background: The genetics of depression has been explored in genome-wide association studies that focused on either major depressive disorder or depressive symptoms with mostly negative findings. A broad depression phenotype including both phenotypes has not been tested previously using a genome-wide association approach. We aimed to identify genetic polymorphisms significantly associated with a broad phenotype from depressive symptoms to major depressive disorder. Methods: We analyzed two prior studies of 70,017 participants of European ancestry from general and clinical populations in the discovery stage. We performed a replication meta-analysis of 28,328 participants. Single nucleotide polymorphism (SNP)-based heritability and genetic correlations were calculated using linkage disequilibrium score regression. Discovery and replication analyses were performed using a p-value-based meta-analysis. Lifetime major depressive disorder and depressive symptom scores were used as the outcome measures. Results: The SNP-based heritability of major depressive disorder was 0.21 (SE = 0.02), the SNP-based heritability of depressive symptoms was 0.04 (SE = 0.01), and their genetic correlation was 1.001 (SE = 0.2). We found one genome-wide significant locus related to the broad depression phenotype (rs9825823, chromosome 3: 61,082,153, p = 8.2 × 10-9) located in an intron of the FHIT gene. We replicated this SNP in independent samples (p = .02) and the overall meta-analysis of the discovery and replication cohorts (1.0 × 10-9). Conclusions: This large study identified a new locus for depression. Our results support a continuum between depressive symptoms and major depressive disorder. A phenotypically more inclusive approach may help to achieve the large sample sizes needed to detect susceptibility loci for depression.
534			\|c 2016
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650		4	\|a Major depressive disorder
650		4	\|a Psychiatric Genomics Consortium
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856	4	0	\|u http://dx.doi.org/10.1016/j.biopsych.2016.11.013 \|x Verlag \|x Resolving-System \|3 Volltext
856	4	0	\|u http://www.sciencedirect.com/science/article/pii/S0006322316330682 \|x Verlag \|3 Volltext
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Indexfelder

author_variant	n d nd m r mr
matchkey_str	article:18732402:20172016::nnlssfwgnmwdascaineanlssdniisnwouf
oclc_num	1341013600
hierarchy_sort_str	2017
publishDate	2017
allfields	10.1016/j.biopsych.2016.11.013 doi (DE-627)1577422236 (DE-576)507422236 (DE-599)BSZ507422236 (OCoLC)1341013600 DE-627 ger DE-627 rda eng Direk, Nese verfasserin (DE-588)1162469560 (DE-627)1026169283 (DE-576)507423100 aut An analysis of two genome-wide association meta-analyses identifies a new locus for broad depression phenotype Nese Direk, Stephanie Williams, Jennifer A. Smith, Stephan Ripke, Tracy Air, Azmeraw T. Amare, Najaf Amin, Bernhard T. Baune, David A. Bennett, Douglas H. R. Blackwood, Dorret Boomsma, Gerome Breen, Henriette N. Buttenschøn, Enda M. Byrne, Anders D. Børglum, Enrique Castelao, Sven Cichon, Toni-Kim Clarke, Marilyn C. Cornelis, Udo Dannlowski, Philip L. De Jager, Ayse Demirkan, Enrico Domenici, Cornelia M. van Duijn, Erin C. Dunn, Johan G. Eriksson, Tonu Esko, Jessica D. Faul, Luigi Ferrucci, Myriam Fornage, Eco de Geus, Michael Gill, Scott D. Gordon, Hans Jörgen Grabe, Gerard van Grootheest, Steven P. Hamilton, Catharina A. Hartman, Andrew C. Heath, Karin Hek, Albert Hofman, Georg Homuth, Carsten Horn, Jouke Jan Hottenga, Sharon L. R. Kardia, Stefan Kloiber, Karestan Koenen, Zoltán Kutalik, Karl-Heinz Ladwig, Jari Lahti, Douglas F. Levinson, Cathryn M. Lewis, Glyn Lewis, Qingqin S. Li, David J. Llewellyn, Susanne Lucae, Kathryn L. Lunetta, Donald J. MacIntyre, Pamela Madden, Nicholas G. Martin, Andrew M. McIntosh, Andres Metspalu, Yuri Milaneschi, Grant W. Montgomery, Ole Mors, Thomas H. Mosley, Joanne M. Murabito, Bertram Müller-Myhsok, Markus M. Nöthen, Dale R. Nyholt, Michael C. O’Donovan, Brenda W. Penninx, Michele L. Pergadia, Roy Perlis, James B. Potash, Martin Preisig, Shaun M. Purcell, Jorge A. Quiroz, Katri Räikkönen, John P. Rice, Marcella Rietschel, Margarita Rivera, Thomas G. Schulze, Jianxin Shi, Stanley Shyn, Grant C. Sinnamon, Johannes H. Smit, Jordan W. Smoller, Harold Snieder, Toshiko Tanaka, Katherine E. Tansey, Alexander Teumer, Rudolf Uher, Daniel Umbricht, Sandra Van der Auwera, Erin B. Ware, David R. Weir, Myrna M. Weissman, Gonneke Willemsen, Jingyun Yang, Wei Zhao, Henning Tiemeier, and Patrick F. Sullivan 2017 8 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Available online 8 December 2016 Gesehen am 09.07.2018 Background: The genetics of depression has been explored in genome-wide association studies that focused on either major depressive disorder or depressive symptoms with mostly negative findings. A broad depression phenotype including both phenotypes has not been tested previously using a genome-wide association approach. We aimed to identify genetic polymorphisms significantly associated with a broad phenotype from depressive symptoms to major depressive disorder. Methods: We analyzed two prior studies of 70,017 participants of European ancestry from general and clinical populations in the discovery stage. We performed a replication meta-analysis of 28,328 participants. Single nucleotide polymorphism (SNP)-based heritability and genetic correlations were calculated using linkage disequilibrium score regression. Discovery and replication analyses were performed using a p-value-based meta-analysis. Lifetime major depressive disorder and depressive symptom scores were used as the outcome measures. Results: The SNP-based heritability of major depressive disorder was 0.21 (SE = 0.02), the SNP-based heritability of depressive symptoms was 0.04 (SE = 0.01), and their genetic correlation was 1.001 (SE = 0.2). We found one genome-wide significant locus related to the broad depression phenotype (rs9825823, chromosome 3: 61,082,153, p = 8.2 × 10-9) located in an intron of the FHIT gene. We replicated this SNP in independent samples (p = .02) and the overall meta-analysis of the discovery and replication cohorts (1.0 × 10-9). Conclusions: This large study identified a new locus for depression. Our results support a continuum between depressive symptoms and major depressive disorder. A phenotypically more inclusive approach may help to achieve the large sample sizes needed to detect susceptibility loci for depression. 2016 CHARGE consortium Depressive symptoms gene Genome-wide association study Major depressive disorder Psychiatric Genomics Consortium Rietschel, Marcella 1957- verfasserin (DE-588)112785751 (DE-627)505574020 (DE-576)289742307 aut Enthalten in Biological psychiatry Amsterdam [u.a.] : Elsevier Science, 1985 82(2017), 5, Seite 322-329 Online-Ressource (DE-627)306654296 (DE-600)1499907-9 (DE-576)115780807 1873-2402 nnns volume:82 year:2017 number:5 pages:322-329 extent:8 http://dx.doi.org/10.1016/j.biopsych.2016.11.013 Verlag Resolving-System Volltext http://www.sciencedirect.com/science/article/pii/S0006322316330682 Verlag Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 82 2017 5 322-329 8 2013 01 DE-16-250 3016687976 00 --%%-- --%%-- --%%-- --%%-- l01 09-07-18 2013 01 DE-16-250 00 s hd2017 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_102 2013 01 DE-16-250 03 s s_8 2013 01 DE-16-250 04 p (DE-627)1447886461 Rietschel, Marcella 2013 01 DE-16-250 04 k (DE-627)1416467254 Medizinische Fakultät Mannheim 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_80
spelling	10.1016/j.biopsych.2016.11.013 doi (DE-627)1577422236 (DE-576)507422236 (DE-599)BSZ507422236 (OCoLC)1341013600 DE-627 ger DE-627 rda eng Direk, Nese verfasserin (DE-588)1162469560 (DE-627)1026169283 (DE-576)507423100 aut An analysis of two genome-wide association meta-analyses identifies a new locus for broad depression phenotype Nese Direk, Stephanie Williams, Jennifer A. Smith, Stephan Ripke, Tracy Air, Azmeraw T. Amare, Najaf Amin, Bernhard T. Baune, David A. Bennett, Douglas H. R. Blackwood, Dorret Boomsma, Gerome Breen, Henriette N. Buttenschøn, Enda M. Byrne, Anders D. Børglum, Enrique Castelao, Sven Cichon, Toni-Kim Clarke, Marilyn C. Cornelis, Udo Dannlowski, Philip L. De Jager, Ayse Demirkan, Enrico Domenici, Cornelia M. van Duijn, Erin C. Dunn, Johan G. Eriksson, Tonu Esko, Jessica D. Faul, Luigi Ferrucci, Myriam Fornage, Eco de Geus, Michael Gill, Scott D. Gordon, Hans Jörgen Grabe, Gerard van Grootheest, Steven P. Hamilton, Catharina A. Hartman, Andrew C. Heath, Karin Hek, Albert Hofman, Georg Homuth, Carsten Horn, Jouke Jan Hottenga, Sharon L. R. Kardia, Stefan Kloiber, Karestan Koenen, Zoltán Kutalik, Karl-Heinz Ladwig, Jari Lahti, Douglas F. Levinson, Cathryn M. Lewis, Glyn Lewis, Qingqin S. Li, David J. Llewellyn, Susanne Lucae, Kathryn L. Lunetta, Donald J. MacIntyre, Pamela Madden, Nicholas G. Martin, Andrew M. McIntosh, Andres Metspalu, Yuri Milaneschi, Grant W. Montgomery, Ole Mors, Thomas H. Mosley, Joanne M. Murabito, Bertram Müller-Myhsok, Markus M. Nöthen, Dale R. Nyholt, Michael C. O’Donovan, Brenda W. Penninx, Michele L. Pergadia, Roy Perlis, James B. Potash, Martin Preisig, Shaun M. Purcell, Jorge A. Quiroz, Katri Räikkönen, John P. Rice, Marcella Rietschel, Margarita Rivera, Thomas G. Schulze, Jianxin Shi, Stanley Shyn, Grant C. Sinnamon, Johannes H. Smit, Jordan W. Smoller, Harold Snieder, Toshiko Tanaka, Katherine E. Tansey, Alexander Teumer, Rudolf Uher, Daniel Umbricht, Sandra Van der Auwera, Erin B. Ware, David R. Weir, Myrna M. Weissman, Gonneke Willemsen, Jingyun Yang, Wei Zhao, Henning Tiemeier, and Patrick F. Sullivan 2017 8 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Available online 8 December 2016 Gesehen am 09.07.2018 Background: The genetics of depression has been explored in genome-wide association studies that focused on either major depressive disorder or depressive symptoms with mostly negative findings. A broad depression phenotype including both phenotypes has not been tested previously using a genome-wide association approach. We aimed to identify genetic polymorphisms significantly associated with a broad phenotype from depressive symptoms to major depressive disorder. Methods: We analyzed two prior studies of 70,017 participants of European ancestry from general and clinical populations in the discovery stage. We performed a replication meta-analysis of 28,328 participants. Single nucleotide polymorphism (SNP)-based heritability and genetic correlations were calculated using linkage disequilibrium score regression. Discovery and replication analyses were performed using a p-value-based meta-analysis. Lifetime major depressive disorder and depressive symptom scores were used as the outcome measures. Results: The SNP-based heritability of major depressive disorder was 0.21 (SE = 0.02), the SNP-based heritability of depressive symptoms was 0.04 (SE = 0.01), and their genetic correlation was 1.001 (SE = 0.2). We found one genome-wide significant locus related to the broad depression phenotype (rs9825823, chromosome 3: 61,082,153, p = 8.2 × 10-9) located in an intron of the FHIT gene. We replicated this SNP in independent samples (p = .02) and the overall meta-analysis of the discovery and replication cohorts (1.0 × 10-9). Conclusions: This large study identified a new locus for depression. Our results support a continuum between depressive symptoms and major depressive disorder. A phenotypically more inclusive approach may help to achieve the large sample sizes needed to detect susceptibility loci for depression. 2016 CHARGE consortium Depressive symptoms gene Genome-wide association study Major depressive disorder Psychiatric Genomics Consortium Rietschel, Marcella 1957- verfasserin (DE-588)112785751 (DE-627)505574020 (DE-576)289742307 aut Enthalten in Biological psychiatry Amsterdam [u.a.] : Elsevier Science, 1985 82(2017), 5, Seite 322-329 Online-Ressource (DE-627)306654296 (DE-600)1499907-9 (DE-576)115780807 1873-2402 nnns volume:82 year:2017 number:5 pages:322-329 extent:8 http://dx.doi.org/10.1016/j.biopsych.2016.11.013 Verlag Resolving-System Volltext http://www.sciencedirect.com/science/article/pii/S0006322316330682 Verlag Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 82 2017 5 322-329 8 2013 01 DE-16-250 3016687976 00 --%%-- --%%-- --%%-- --%%-- l01 09-07-18 2013 01 DE-16-250 00 s hd2017 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_102 2013 01 DE-16-250 03 s s_8 2013 01 DE-16-250 04 p (DE-627)1447886461 Rietschel, Marcella 2013 01 DE-16-250 04 k (DE-627)1416467254 Medizinische Fakultät Mannheim 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_80
allfields_unstemmed	10.1016/j.biopsych.2016.11.013 doi (DE-627)1577422236 (DE-576)507422236 (DE-599)BSZ507422236 (OCoLC)1341013600 DE-627 ger DE-627 rda eng Direk, Nese verfasserin (DE-588)1162469560 (DE-627)1026169283 (DE-576)507423100 aut An analysis of two genome-wide association meta-analyses identifies a new locus for broad depression phenotype Nese Direk, Stephanie Williams, Jennifer A. Smith, Stephan Ripke, Tracy Air, Azmeraw T. Amare, Najaf Amin, Bernhard T. Baune, David A. Bennett, Douglas H. R. Blackwood, Dorret Boomsma, Gerome Breen, Henriette N. Buttenschøn, Enda M. Byrne, Anders D. Børglum, Enrique Castelao, Sven Cichon, Toni-Kim Clarke, Marilyn C. Cornelis, Udo Dannlowski, Philip L. De Jager, Ayse Demirkan, Enrico Domenici, Cornelia M. van Duijn, Erin C. Dunn, Johan G. Eriksson, Tonu Esko, Jessica D. Faul, Luigi Ferrucci, Myriam Fornage, Eco de Geus, Michael Gill, Scott D. Gordon, Hans Jörgen Grabe, Gerard van Grootheest, Steven P. Hamilton, Catharina A. Hartman, Andrew C. Heath, Karin Hek, Albert Hofman, Georg Homuth, Carsten Horn, Jouke Jan Hottenga, Sharon L. R. Kardia, Stefan Kloiber, Karestan Koenen, Zoltán Kutalik, Karl-Heinz Ladwig, Jari Lahti, Douglas F. Levinson, Cathryn M. Lewis, Glyn Lewis, Qingqin S. Li, David J. Llewellyn, Susanne Lucae, Kathryn L. Lunetta, Donald J. MacIntyre, Pamela Madden, Nicholas G. Martin, Andrew M. McIntosh, Andres Metspalu, Yuri Milaneschi, Grant W. Montgomery, Ole Mors, Thomas H. Mosley, Joanne M. Murabito, Bertram Müller-Myhsok, Markus M. Nöthen, Dale R. Nyholt, Michael C. O’Donovan, Brenda W. Penninx, Michele L. Pergadia, Roy Perlis, James B. Potash, Martin Preisig, Shaun M. Purcell, Jorge A. Quiroz, Katri Räikkönen, John P. Rice, Marcella Rietschel, Margarita Rivera, Thomas G. Schulze, Jianxin Shi, Stanley Shyn, Grant C. Sinnamon, Johannes H. Smit, Jordan W. Smoller, Harold Snieder, Toshiko Tanaka, Katherine E. Tansey, Alexander Teumer, Rudolf Uher, Daniel Umbricht, Sandra Van der Auwera, Erin B. Ware, David R. Weir, Myrna M. Weissman, Gonneke Willemsen, Jingyun Yang, Wei Zhao, Henning Tiemeier, and Patrick F. Sullivan 2017 8 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Available online 8 December 2016 Gesehen am 09.07.2018 Background: The genetics of depression has been explored in genome-wide association studies that focused on either major depressive disorder or depressive symptoms with mostly negative findings. A broad depression phenotype including both phenotypes has not been tested previously using a genome-wide association approach. We aimed to identify genetic polymorphisms significantly associated with a broad phenotype from depressive symptoms to major depressive disorder. Methods: We analyzed two prior studies of 70,017 participants of European ancestry from general and clinical populations in the discovery stage. We performed a replication meta-analysis of 28,328 participants. Single nucleotide polymorphism (SNP)-based heritability and genetic correlations were calculated using linkage disequilibrium score regression. Discovery and replication analyses were performed using a p-value-based meta-analysis. Lifetime major depressive disorder and depressive symptom scores were used as the outcome measures. Results: The SNP-based heritability of major depressive disorder was 0.21 (SE = 0.02), the SNP-based heritability of depressive symptoms was 0.04 (SE = 0.01), and their genetic correlation was 1.001 (SE = 0.2). We found one genome-wide significant locus related to the broad depression phenotype (rs9825823, chromosome 3: 61,082,153, p = 8.2 × 10-9) located in an intron of the FHIT gene. We replicated this SNP in independent samples (p = .02) and the overall meta-analysis of the discovery and replication cohorts (1.0 × 10-9). Conclusions: This large study identified a new locus for depression. Our results support a continuum between depressive symptoms and major depressive disorder. A phenotypically more inclusive approach may help to achieve the large sample sizes needed to detect susceptibility loci for depression. 2016 CHARGE consortium Depressive symptoms gene Genome-wide association study Major depressive disorder Psychiatric Genomics Consortium Rietschel, Marcella 1957- verfasserin (DE-588)112785751 (DE-627)505574020 (DE-576)289742307 aut Enthalten in Biological psychiatry Amsterdam [u.a.] : Elsevier Science, 1985 82(2017), 5, Seite 322-329 Online-Ressource (DE-627)306654296 (DE-600)1499907-9 (DE-576)115780807 1873-2402 nnns volume:82 year:2017 number:5 pages:322-329 extent:8 http://dx.doi.org/10.1016/j.biopsych.2016.11.013 Verlag Resolving-System Volltext http://www.sciencedirect.com/science/article/pii/S0006322316330682 Verlag Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 82 2017 5 322-329 8 2013 01 DE-16-250 3016687976 00 --%%-- --%%-- --%%-- --%%-- l01 09-07-18 2013 01 DE-16-250 00 s hd2017 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_102 2013 01 DE-16-250 03 s s_8 2013 01 DE-16-250 04 p (DE-627)1447886461 Rietschel, Marcella 2013 01 DE-16-250 04 k (DE-627)1416467254 Medizinische Fakultät Mannheim 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_80
allfieldsGer	10.1016/j.biopsych.2016.11.013 doi (DE-627)1577422236 (DE-576)507422236 (DE-599)BSZ507422236 (OCoLC)1341013600 DE-627 ger DE-627 rda eng Direk, Nese verfasserin (DE-588)1162469560 (DE-627)1026169283 (DE-576)507423100 aut An analysis of two genome-wide association meta-analyses identifies a new locus for broad depression phenotype Nese Direk, Stephanie Williams, Jennifer A. Smith, Stephan Ripke, Tracy Air, Azmeraw T. Amare, Najaf Amin, Bernhard T. Baune, David A. Bennett, Douglas H. R. Blackwood, Dorret Boomsma, Gerome Breen, Henriette N. Buttenschøn, Enda M. Byrne, Anders D. Børglum, Enrique Castelao, Sven Cichon, Toni-Kim Clarke, Marilyn C. Cornelis, Udo Dannlowski, Philip L. De Jager, Ayse Demirkan, Enrico Domenici, Cornelia M. van Duijn, Erin C. Dunn, Johan G. Eriksson, Tonu Esko, Jessica D. Faul, Luigi Ferrucci, Myriam Fornage, Eco de Geus, Michael Gill, Scott D. Gordon, Hans Jörgen Grabe, Gerard van Grootheest, Steven P. Hamilton, Catharina A. Hartman, Andrew C. Heath, Karin Hek, Albert Hofman, Georg Homuth, Carsten Horn, Jouke Jan Hottenga, Sharon L. R. Kardia, Stefan Kloiber, Karestan Koenen, Zoltán Kutalik, Karl-Heinz Ladwig, Jari Lahti, Douglas F. Levinson, Cathryn M. Lewis, Glyn Lewis, Qingqin S. Li, David J. Llewellyn, Susanne Lucae, Kathryn L. Lunetta, Donald J. MacIntyre, Pamela Madden, Nicholas G. Martin, Andrew M. McIntosh, Andres Metspalu, Yuri Milaneschi, Grant W. Montgomery, Ole Mors, Thomas H. Mosley, Joanne M. Murabito, Bertram Müller-Myhsok, Markus M. Nöthen, Dale R. Nyholt, Michael C. O’Donovan, Brenda W. Penninx, Michele L. Pergadia, Roy Perlis, James B. Potash, Martin Preisig, Shaun M. Purcell, Jorge A. Quiroz, Katri Räikkönen, John P. Rice, Marcella Rietschel, Margarita Rivera, Thomas G. Schulze, Jianxin Shi, Stanley Shyn, Grant C. Sinnamon, Johannes H. Smit, Jordan W. Smoller, Harold Snieder, Toshiko Tanaka, Katherine E. Tansey, Alexander Teumer, Rudolf Uher, Daniel Umbricht, Sandra Van der Auwera, Erin B. Ware, David R. Weir, Myrna M. Weissman, Gonneke Willemsen, Jingyun Yang, Wei Zhao, Henning Tiemeier, and Patrick F. Sullivan 2017 8 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Available online 8 December 2016 Gesehen am 09.07.2018 Background: The genetics of depression has been explored in genome-wide association studies that focused on either major depressive disorder or depressive symptoms with mostly negative findings. A broad depression phenotype including both phenotypes has not been tested previously using a genome-wide association approach. We aimed to identify genetic polymorphisms significantly associated with a broad phenotype from depressive symptoms to major depressive disorder. Methods: We analyzed two prior studies of 70,017 participants of European ancestry from general and clinical populations in the discovery stage. We performed a replication meta-analysis of 28,328 participants. Single nucleotide polymorphism (SNP)-based heritability and genetic correlations were calculated using linkage disequilibrium score regression. Discovery and replication analyses were performed using a p-value-based meta-analysis. Lifetime major depressive disorder and depressive symptom scores were used as the outcome measures. Results: The SNP-based heritability of major depressive disorder was 0.21 (SE = 0.02), the SNP-based heritability of depressive symptoms was 0.04 (SE = 0.01), and their genetic correlation was 1.001 (SE = 0.2). We found one genome-wide significant locus related to the broad depression phenotype (rs9825823, chromosome 3: 61,082,153, p = 8.2 × 10-9) located in an intron of the FHIT gene. We replicated this SNP in independent samples (p = .02) and the overall meta-analysis of the discovery and replication cohorts (1.0 × 10-9). Conclusions: This large study identified a new locus for depression. Our results support a continuum between depressive symptoms and major depressive disorder. A phenotypically more inclusive approach may help to achieve the large sample sizes needed to detect susceptibility loci for depression. 2016 CHARGE consortium Depressive symptoms gene Genome-wide association study Major depressive disorder Psychiatric Genomics Consortium Rietschel, Marcella 1957- verfasserin (DE-588)112785751 (DE-627)505574020 (DE-576)289742307 aut Enthalten in Biological psychiatry Amsterdam [u.a.] : Elsevier Science, 1985 82(2017), 5, Seite 322-329 Online-Ressource (DE-627)306654296 (DE-600)1499907-9 (DE-576)115780807 1873-2402 nnns volume:82 year:2017 number:5 pages:322-329 extent:8 http://dx.doi.org/10.1016/j.biopsych.2016.11.013 Verlag Resolving-System Volltext http://www.sciencedirect.com/science/article/pii/S0006322316330682 Verlag Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 82 2017 5 322-329 8 2013 01 DE-16-250 3016687976 00 --%%-- --%%-- --%%-- --%%-- l01 09-07-18 2013 01 DE-16-250 00 s hd2017 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_102 2013 01 DE-16-250 03 s s_8 2013 01 DE-16-250 04 p (DE-627)1447886461 Rietschel, Marcella 2013 01 DE-16-250 04 k (DE-627)1416467254 Medizinische Fakultät Mannheim 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_80
allfieldsSound	10.1016/j.biopsych.2016.11.013 doi (DE-627)1577422236 (DE-576)507422236 (DE-599)BSZ507422236 (OCoLC)1341013600 DE-627 ger DE-627 rda eng Direk, Nese verfasserin (DE-588)1162469560 (DE-627)1026169283 (DE-576)507423100 aut An analysis of two genome-wide association meta-analyses identifies a new locus for broad depression phenotype Nese Direk, Stephanie Williams, Jennifer A. Smith, Stephan Ripke, Tracy Air, Azmeraw T. Amare, Najaf Amin, Bernhard T. Baune, David A. Bennett, Douglas H. R. Blackwood, Dorret Boomsma, Gerome Breen, Henriette N. Buttenschøn, Enda M. Byrne, Anders D. Børglum, Enrique Castelao, Sven Cichon, Toni-Kim Clarke, Marilyn C. Cornelis, Udo Dannlowski, Philip L. De Jager, Ayse Demirkan, Enrico Domenici, Cornelia M. van Duijn, Erin C. Dunn, Johan G. Eriksson, Tonu Esko, Jessica D. Faul, Luigi Ferrucci, Myriam Fornage, Eco de Geus, Michael Gill, Scott D. Gordon, Hans Jörgen Grabe, Gerard van Grootheest, Steven P. Hamilton, Catharina A. Hartman, Andrew C. Heath, Karin Hek, Albert Hofman, Georg Homuth, Carsten Horn, Jouke Jan Hottenga, Sharon L. R. Kardia, Stefan Kloiber, Karestan Koenen, Zoltán Kutalik, Karl-Heinz Ladwig, Jari Lahti, Douglas F. Levinson, Cathryn M. Lewis, Glyn Lewis, Qingqin S. Li, David J. Llewellyn, Susanne Lucae, Kathryn L. Lunetta, Donald J. MacIntyre, Pamela Madden, Nicholas G. Martin, Andrew M. McIntosh, Andres Metspalu, Yuri Milaneschi, Grant W. Montgomery, Ole Mors, Thomas H. Mosley, Joanne M. Murabito, Bertram Müller-Myhsok, Markus M. Nöthen, Dale R. Nyholt, Michael C. O’Donovan, Brenda W. Penninx, Michele L. Pergadia, Roy Perlis, James B. Potash, Martin Preisig, Shaun M. Purcell, Jorge A. Quiroz, Katri Räikkönen, John P. Rice, Marcella Rietschel, Margarita Rivera, Thomas G. Schulze, Jianxin Shi, Stanley Shyn, Grant C. Sinnamon, Johannes H. Smit, Jordan W. Smoller, Harold Snieder, Toshiko Tanaka, Katherine E. Tansey, Alexander Teumer, Rudolf Uher, Daniel Umbricht, Sandra Van der Auwera, Erin B. Ware, David R. Weir, Myrna M. Weissman, Gonneke Willemsen, Jingyun Yang, Wei Zhao, Henning Tiemeier, and Patrick F. Sullivan 2017 8 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Available online 8 December 2016 Gesehen am 09.07.2018 Background: The genetics of depression has been explored in genome-wide association studies that focused on either major depressive disorder or depressive symptoms with mostly negative findings. A broad depression phenotype including both phenotypes has not been tested previously using a genome-wide association approach. We aimed to identify genetic polymorphisms significantly associated with a broad phenotype from depressive symptoms to major depressive disorder. Methods: We analyzed two prior studies of 70,017 participants of European ancestry from general and clinical populations in the discovery stage. We performed a replication meta-analysis of 28,328 participants. Single nucleotide polymorphism (SNP)-based heritability and genetic correlations were calculated using linkage disequilibrium score regression. Discovery and replication analyses were performed using a p-value-based meta-analysis. Lifetime major depressive disorder and depressive symptom scores were used as the outcome measures. Results: The SNP-based heritability of major depressive disorder was 0.21 (SE = 0.02), the SNP-based heritability of depressive symptoms was 0.04 (SE = 0.01), and their genetic correlation was 1.001 (SE = 0.2). We found one genome-wide significant locus related to the broad depression phenotype (rs9825823, chromosome 3: 61,082,153, p = 8.2 × 10-9) located in an intron of the FHIT gene. We replicated this SNP in independent samples (p = .02) and the overall meta-analysis of the discovery and replication cohorts (1.0 × 10-9). Conclusions: This large study identified a new locus for depression. Our results support a continuum between depressive symptoms and major depressive disorder. A phenotypically more inclusive approach may help to achieve the large sample sizes needed to detect susceptibility loci for depression. 2016 CHARGE consortium Depressive symptoms gene Genome-wide association study Major depressive disorder Psychiatric Genomics Consortium Rietschel, Marcella 1957- verfasserin (DE-588)112785751 (DE-627)505574020 (DE-576)289742307 aut Enthalten in Biological psychiatry Amsterdam [u.a.] : Elsevier Science, 1985 82(2017), 5, Seite 322-329 Online-Ressource (DE-627)306654296 (DE-600)1499907-9 (DE-576)115780807 1873-2402 nnns volume:82 year:2017 number:5 pages:322-329 extent:8 http://dx.doi.org/10.1016/j.biopsych.2016.11.013 Verlag Resolving-System Volltext http://www.sciencedirect.com/science/article/pii/S0006322316330682 Verlag Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 82 2017 5 322-329 8 2013 01 DE-16-250 3016687976 00 --%%-- --%%-- --%%-- --%%-- l01 09-07-18 2013 01 DE-16-250 00 s hd2017 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_102 2013 01 DE-16-250 03 s s_8 2013 01 DE-16-250 04 p (DE-627)1447886461 Rietschel, Marcella 2013 01 DE-16-250 04 k (DE-627)1416467254 Medizinische Fakultät Mannheim 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_80
language	English
source	Enthalten in Biological psychiatry 82(2017), 5, Seite 322-329 volume:82 year:2017 number:5 pages:322-329 extent:8
sourceStr	Enthalten in Biological psychiatry 82(2017), 5, Seite 322-329 volume:82 year:2017 number:5 pages:322-329 extent:8
format_phy_str_mv	Article
building	2013:0
institution	findex.gbv.de
selectbib_iln_str_mv	2013@01
topic_facet	CHARGE consortium Depressive symptoms gene Genome-wide association study Major depressive disorder Psychiatric Genomics Consortium
sw_local_iln_str_mv	2013:hd2017 DE-16-250:hd2017 2013:wissenschaftlicher Artikel (Zeitschrift) DE-16-250:wissenschaftlicher Artikel (Zeitschrift) 2013:per_102 DE-16-250:per_102 2013:s_8 DE-16-250:s_8 2013:Rietschel, Marcella DE-16-250:Rietschel, Marcella 2013:Medizinische Fakultät Mannheim DE-16-250:Medizinische Fakultät Mannheim 2013:Verfasser DE-16-250:Verfasser 2013:pos_80 DE-16-250:pos_80
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container_title	Biological psychiatry
authorswithroles_txt_mv	Direk, Nese @@aut@@ Rietschel, Marcella @@aut@@
publishDateDaySort_date	2017-01-01T00:00:00Z
hierarchy_top_id	306654296
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fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">1577422236</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220814185746.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180709r20172016xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.biopsych.2016.11.013</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)1577422236</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-576)507422236</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BSZ507422236</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1341013600</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">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Direk, Nese</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)1162469560</subfield><subfield code="0">(DE-627)1026169283</subfield><subfield code="0">(DE-576)507423100</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="3"><subfield code="a">An analysis of two genome-wide association meta-analyses identifies a new locus for broad depression phenotype</subfield><subfield code="c">Nese Direk, Stephanie Williams, Jennifer A. Smith, Stephan Ripke, Tracy Air, Azmeraw T. Amare, Najaf Amin, Bernhard T. Baune, David A. Bennett, Douglas H. R. Blackwood, Dorret Boomsma, Gerome Breen, Henriette N. Buttenschøn, Enda M. Byrne, Anders D. Børglum, Enrique Castelao, Sven Cichon, Toni-Kim Clarke, Marilyn C. Cornelis, Udo Dannlowski, Philip L. De Jager, Ayse Demirkan, Enrico Domenici, Cornelia M. van Duijn, Erin C. Dunn, Johan G. Eriksson, Tonu Esko, Jessica D. Faul, Luigi Ferrucci, Myriam Fornage, Eco de Geus, Michael Gill, Scott D. Gordon, Hans Jörgen Grabe, Gerard van Grootheest, Steven P. Hamilton, Catharina A. Hartman, Andrew C. Heath, Karin Hek, Albert Hofman, Georg Homuth, Carsten Horn, Jouke Jan Hottenga, Sharon L. R. Kardia, Stefan Kloiber, Karestan Koenen, Zoltán Kutalik, Karl-Heinz Ladwig, Jari Lahti, Douglas F. Levinson, Cathryn M. Lewis, Glyn Lewis, Qingqin S. Li, David J. Llewellyn, Susanne Lucae, Kathryn L. Lunetta, Donald J. MacIntyre, Pamela Madden, Nicholas G. Martin, Andrew M. McIntosh, Andres Metspalu, Yuri Milaneschi, Grant W. Montgomery, Ole Mors, Thomas H. Mosley, Joanne M. Murabito, Bertram Müller-Myhsok, Markus M. Nöthen, Dale R. Nyholt, Michael C. O’Donovan, Brenda W. Penninx, Michele L. Pergadia, Roy Perlis, James B. Potash, Martin Preisig, Shaun M. Purcell, Jorge A. Quiroz, Katri Räikkönen, John P. Rice, Marcella Rietschel, Margarita Rivera, Thomas G. Schulze, Jianxin Shi, Stanley Shyn, Grant C. Sinnamon, Johannes H. Smit, Jordan W. Smoller, Harold Snieder, Toshiko Tanaka, Katherine E. Tansey, Alexander Teumer, Rudolf Uher, Daniel Umbricht, Sandra Van der Auwera, Erin B. Ware, David R. Weir, Myrna M. Weissman, Gonneke Willemsen, Jingyun Yang, Wei Zhao, Henning Tiemeier, and Patrick F. Sullivan</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">8</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="500" ind1=" " ind2=" "><subfield code="a">Available online 8 December 2016</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Gesehen am 09.07.2018</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background: The genetics of depression has been explored in genome-wide association studies that focused on either major depressive disorder or depressive symptoms with mostly negative findings. A broad depression phenotype including both phenotypes has not been tested previously using a genome-wide association approach. We aimed to identify genetic polymorphisms significantly associated with a broad phenotype from depressive symptoms to major depressive disorder. Methods: We analyzed two prior studies of 70,017 participants of European ancestry from general and clinical populations in the discovery stage. We performed a replication meta-analysis of 28,328 participants. Single nucleotide polymorphism (SNP)-based heritability and genetic correlations were calculated using linkage disequilibrium score regression. Discovery and replication analyses were performed using a p-value-based meta-analysis. Lifetime major depressive disorder and depressive symptom scores were used as the outcome measures. Results: The SNP-based heritability of major depressive disorder was 0.21 (SE = 0.02), the SNP-based heritability of depressive symptoms was 0.04 (SE = 0.01), and their genetic correlation was 1.001 (SE = 0.2). We found one genome-wide significant locus related to the broad depression phenotype (rs9825823, chromosome 3: 61,082,153, p = 8.2 × 10-9) located in an intron of the FHIT gene. We replicated this SNP in independent samples (p = .02) and the overall meta-analysis of the discovery and replication cohorts (1.0 × 10-9). Conclusions: This large study identified a new locus for depression. Our results support a continuum between depressive symptoms and major depressive disorder. 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title_full	An analysis of two genome-wide association meta-analyses identifies a new locus for broad depression phenotype Nese Direk, Stephanie Williams, Jennifer A. Smith, Stephan Ripke, Tracy Air, Azmeraw T. Amare, Najaf Amin, Bernhard T. Baune, David A. Bennett, Douglas H. R. Blackwood, Dorret Boomsma, Gerome Breen, Henriette N. Buttenschøn, Enda M. Byrne, Anders D. Børglum, Enrique Castelao, Sven Cichon, Toni-Kim Clarke, Marilyn C. Cornelis, Udo Dannlowski, Philip L. De Jager, Ayse Demirkan, Enrico Domenici, Cornelia M. van Duijn, Erin C. Dunn, Johan G. Eriksson, Tonu Esko, Jessica D. Faul, Luigi Ferrucci, Myriam Fornage, Eco de Geus, Michael Gill, Scott D. Gordon, Hans Jörgen Grabe, Gerard van Grootheest, Steven P. Hamilton, Catharina A. Hartman, Andrew C. Heath, Karin Hek, Albert Hofman, Georg Homuth, Carsten Horn, Jouke Jan Hottenga, Sharon L. R. Kardia, Stefan Kloiber, Karestan Koenen, Zoltán Kutalik, Karl-Heinz Ladwig, Jari Lahti, Douglas F. Levinson, Cathryn M. Lewis, Glyn Lewis, Qingqin S. Li, David J. Llewellyn, Susanne Lucae, Kathryn L. Lunetta, Donald J. MacIntyre, Pamela Madden, Nicholas G. Martin, Andrew M. McIntosh, Andres Metspalu, Yuri Milaneschi, Grant W. Montgomery, Ole Mors, Thomas H. Mosley, Joanne M. Murabito, Bertram Müller-Myhsok, Markus M. Nöthen, Dale R. Nyholt, Michael C. O’Donovan, Brenda W. Penninx, Michele L. Pergadia, Roy Perlis, James B. Potash, Martin Preisig, Shaun M. Purcell, Jorge A. Quiroz, Katri Räikkönen, John P. Rice, Marcella Rietschel, Margarita Rivera, Thomas G. Schulze, Jianxin Shi, Stanley Shyn, Grant C. Sinnamon, Johannes H. Smit, Jordan W. Smoller, Harold Snieder, Toshiko Tanaka, Katherine E. Tansey, Alexander Teumer, Rudolf Uher, Daniel Umbricht, Sandra Van der Auwera, Erin B. Ware, David R. Weir, Myrna M. Weissman, Gonneke Willemsen, Jingyun Yang, Wei Zhao, Henning Tiemeier, and Patrick F. Sullivan
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title_sort	analysis of two genome-wide association meta-analyses identifies a new locus for broad depression phenotype
title_auth	An analysis of two genome-wide association meta-analyses identifies a new locus for broad depression phenotype
abstract	Background: The genetics of depression has been explored in genome-wide association studies that focused on either major depressive disorder or depressive symptoms with mostly negative findings. A broad depression phenotype including both phenotypes has not been tested previously using a genome-wide association approach. We aimed to identify genetic polymorphisms significantly associated with a broad phenotype from depressive symptoms to major depressive disorder. Methods: We analyzed two prior studies of 70,017 participants of European ancestry from general and clinical populations in the discovery stage. We performed a replication meta-analysis of 28,328 participants. Single nucleotide polymorphism (SNP)-based heritability and genetic correlations were calculated using linkage disequilibrium score regression. Discovery and replication analyses were performed using a p-value-based meta-analysis. Lifetime major depressive disorder and depressive symptom scores were used as the outcome measures. Results: The SNP-based heritability of major depressive disorder was 0.21 (SE = 0.02), the SNP-based heritability of depressive symptoms was 0.04 (SE = 0.01), and their genetic correlation was 1.001 (SE = 0.2). We found one genome-wide significant locus related to the broad depression phenotype (rs9825823, chromosome 3: 61,082,153, p = 8.2 × 10-9) located in an intron of the FHIT gene. We replicated this SNP in independent samples (p = .02) and the overall meta-analysis of the discovery and replication cohorts (1.0 × 10-9). Conclusions: This large study identified a new locus for depression. Our results support a continuum between depressive symptoms and major depressive disorder. A phenotypically more inclusive approach may help to achieve the large sample sizes needed to detect susceptibility loci for depression. Available online 8 December 2016 Gesehen am 09.07.2018
abstractGer	Background: The genetics of depression has been explored in genome-wide association studies that focused on either major depressive disorder or depressive symptoms with mostly negative findings. A broad depression phenotype including both phenotypes has not been tested previously using a genome-wide association approach. We aimed to identify genetic polymorphisms significantly associated with a broad phenotype from depressive symptoms to major depressive disorder. Methods: We analyzed two prior studies of 70,017 participants of European ancestry from general and clinical populations in the discovery stage. We performed a replication meta-analysis of 28,328 participants. Single nucleotide polymorphism (SNP)-based heritability and genetic correlations were calculated using linkage disequilibrium score regression. Discovery and replication analyses were performed using a p-value-based meta-analysis. Lifetime major depressive disorder and depressive symptom scores were used as the outcome measures. Results: The SNP-based heritability of major depressive disorder was 0.21 (SE = 0.02), the SNP-based heritability of depressive symptoms was 0.04 (SE = 0.01), and their genetic correlation was 1.001 (SE = 0.2). We found one genome-wide significant locus related to the broad depression phenotype (rs9825823, chromosome 3: 61,082,153, p = 8.2 × 10-9) located in an intron of the FHIT gene. We replicated this SNP in independent samples (p = .02) and the overall meta-analysis of the discovery and replication cohorts (1.0 × 10-9). Conclusions: This large study identified a new locus for depression. Our results support a continuum between depressive symptoms and major depressive disorder. A phenotypically more inclusive approach may help to achieve the large sample sizes needed to detect susceptibility loci for depression. Available online 8 December 2016 Gesehen am 09.07.2018
abstract_unstemmed	Background: The genetics of depression has been explored in genome-wide association studies that focused on either major depressive disorder or depressive symptoms with mostly negative findings. A broad depression phenotype including both phenotypes has not been tested previously using a genome-wide association approach. We aimed to identify genetic polymorphisms significantly associated with a broad phenotype from depressive symptoms to major depressive disorder. Methods: We analyzed two prior studies of 70,017 participants of European ancestry from general and clinical populations in the discovery stage. We performed a replication meta-analysis of 28,328 participants. Single nucleotide polymorphism (SNP)-based heritability and genetic correlations were calculated using linkage disequilibrium score regression. Discovery and replication analyses were performed using a p-value-based meta-analysis. Lifetime major depressive disorder and depressive symptom scores were used as the outcome measures. Results: The SNP-based heritability of major depressive disorder was 0.21 (SE = 0.02), the SNP-based heritability of depressive symptoms was 0.04 (SE = 0.01), and their genetic correlation was 1.001 (SE = 0.2). We found one genome-wide significant locus related to the broad depression phenotype (rs9825823, chromosome 3: 61,082,153, p = 8.2 × 10-9) located in an intron of the FHIT gene. We replicated this SNP in independent samples (p = .02) and the overall meta-analysis of the discovery and replication cohorts (1.0 × 10-9). Conclusions: This large study identified a new locus for depression. Our results support a continuum between depressive symptoms and major depressive disorder. A phenotypically more inclusive approach may help to achieve the large sample sizes needed to detect susceptibility loci for depression. Available online 8 December 2016 Gesehen am 09.07.2018
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title_short	An analysis of two genome-wide association meta-analyses identifies a new locus for broad depression phenotype
url	http://dx.doi.org/10.1016/j.biopsych.2016.11.013 http://www.sciencedirect.com/science/article/pii/S0006322316330682
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Smith, Stephan Ripke, Tracy Air, Azmeraw T. Amare, Najaf Amin, Bernhard T. Baune, David A. Bennett, Douglas H. R. Blackwood, Dorret Boomsma, Gerome Breen, Henriette N. Buttenschøn, Enda M. Byrne, Anders D. Børglum, Enrique Castelao, Sven Cichon, Toni-Kim Clarke, Marilyn C. Cornelis, Udo Dannlowski, Philip L. De Jager, Ayse Demirkan, Enrico Domenici, Cornelia M. van Duijn, Erin C. Dunn, Johan G. Eriksson, Tonu Esko, Jessica D. Faul, Luigi Ferrucci, Myriam Fornage, Eco de Geus, Michael Gill, Scott D. Gordon, Hans Jörgen Grabe, Gerard van Grootheest, Steven P. Hamilton, Catharina A. Hartman, Andrew C. Heath, Karin Hek, Albert Hofman, Georg Homuth, Carsten Horn, Jouke Jan Hottenga, Sharon L. R. Kardia, Stefan Kloiber, Karestan Koenen, Zoltán Kutalik, Karl-Heinz Ladwig, Jari Lahti, Douglas F. Levinson, Cathryn M. Lewis, Glyn Lewis, Qingqin S. Li, David J. Llewellyn, Susanne Lucae, Kathryn L. Lunetta, Donald J. MacIntyre, Pamela Madden, Nicholas G. Martin, Andrew M. McIntosh, Andres Metspalu, Yuri Milaneschi, Grant W. Montgomery, Ole Mors, Thomas H. Mosley, Joanne M. Murabito, Bertram Müller-Myhsok, Markus M. Nöthen, Dale R. Nyholt, Michael C. O’Donovan, Brenda W. Penninx, Michele L. Pergadia, Roy Perlis, James B. Potash, Martin Preisig, Shaun M. Purcell, Jorge A. Quiroz, Katri Räikkönen, John P. Rice, Marcella Rietschel, Margarita Rivera, Thomas G. Schulze, Jianxin Shi, Stanley Shyn, Grant C. Sinnamon, Johannes H. Smit, Jordan W. Smoller, Harold Snieder, Toshiko Tanaka, Katherine E. Tansey, Alexander Teumer, Rudolf Uher, Daniel Umbricht, Sandra Van der Auwera, Erin B. Ware, David R. Weir, Myrna M. Weissman, Gonneke Willemsen, Jingyun Yang, Wei Zhao, Henning Tiemeier, and Patrick F. Sullivan</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">8</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="500" ind1=" " ind2=" "><subfield code="a">Available online 8 December 2016</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Gesehen am 09.07.2018</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background: The genetics of depression has been explored in genome-wide association studies that focused on either major depressive disorder or depressive symptoms with mostly negative findings. A broad depression phenotype including both phenotypes has not been tested previously using a genome-wide association approach. We aimed to identify genetic polymorphisms significantly associated with a broad phenotype from depressive symptoms to major depressive disorder. Methods: We analyzed two prior studies of 70,017 participants of European ancestry from general and clinical populations in the discovery stage. We performed a replication meta-analysis of 28,328 participants. Single nucleotide polymorphism (SNP)-based heritability and genetic correlations were calculated using linkage disequilibrium score regression. Discovery and replication analyses were performed using a p-value-based meta-analysis. Lifetime major depressive disorder and depressive symptom scores were used as the outcome measures. Results: The SNP-based heritability of major depressive disorder was 0.21 (SE = 0.02), the SNP-based heritability of depressive symptoms was 0.04 (SE = 0.01), and their genetic correlation was 1.001 (SE = 0.2). We found one genome-wide significant locus related to the broad depression phenotype (rs9825823, chromosome 3: 61,082,153, p = 8.2 × 10-9) located in an intron of the FHIT gene. We replicated this SNP in independent samples (p = .02) and the overall meta-analysis of the discovery and replication cohorts (1.0 × 10-9). Conclusions: This large study identified a new locus for depression. Our results support a continuum between depressive symptoms and major depressive disorder. A phenotypically more inclusive approach may help to achieve the large sample sizes needed to detect susceptibility loci for depression.</subfield></datafield><datafield tag="534" ind1=" " ind2=" "><subfield code="c">2016</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">CHARGE consortium</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Depressive symptoms</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">gene</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Genome-wide association study</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Major depressive disorder</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Psychiatric Genomics Consortium</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rietschel, Marcella</subfield><subfield code="d">1957-</subfield><subfield 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An analysis of two genome-wide association meta-analyses identifies a new locus for broad depression phenotype

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