Clustering of Parkinson subtypes reveals strong influence of DRD2 polymorphism and gender

Abstract Most classification approaches for idiopathic Parkinson’s disease subtypes primarily focus on motor and non-motor symptoms. Besides these characteristics, other features, including gender or genetic polymorphism of dopamine receptors are potential factors influencing the disease’s phenotype...
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Autor*in:	Esther Annegret Pelzer [verfasserIn] Sophie Stürmer [verfasserIn] Delia-Lisa Feis [verfasserIn] Corina Melzer [verfasserIn] Frank Schwartz [verfasserIn] Marcel Scharge [verfasserIn] Carsten Eggers [verfasserIn] Marc Tittgemeyer [verfasserIn] Lars Timmermann [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Übergeordnetes Werk:	In: Scientific Reports - Nature Portfolio, 2011, 12(2022), 1, Seite 6
Übergeordnetes Werk:	volume:12 ; year:2022 ; number:1 ; pages:6

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1038/s41598-022-09657-0

Katalog-ID:	DOAJ033454647

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spelling	10.1038/s41598-022-09657-0 doi (DE-627)DOAJ033454647 (DE-599)DOAJc9a1c01fdd57417da4c9367326132264 DE-627 ger DE-627 rakwb eng Esther Annegret Pelzer verfasserin aut Clustering of Parkinson subtypes reveals strong influence of DRD2 polymorphism and gender 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Most classification approaches for idiopathic Parkinson’s disease subtypes primarily focus on motor and non-motor symptoms. Besides these characteristics, other features, including gender or genetic polymorphism of dopamine receptors are potential factors influencing the disease’s phenotype. By utilizing a kmeans-clustering algorithm we were able to identify three subgroups mainly characterized by gender, DRD2 Taq1A (rs1800497) polymorphism—associated with changes in dopamine signaling in the brain—and disease progression. A subsequent regression analysis of these subgroups further suggests an influence of their characteristics on the daily levodopa dosage, an indicator for medication response. These findings could promote further enhancements in individualized therapies for idiopathic Parkinson’s disease. Medicine R Science Q Sophie Stürmer verfasserin aut Delia-Lisa Feis verfasserin aut Corina Melzer verfasserin aut Frank Schwartz verfasserin aut Marcel Scharge verfasserin aut Carsten Eggers verfasserin aut Marc Tittgemeyer verfasserin aut Lars Timmermann verfasserin aut In Scientific Reports Nature Portfolio, 2011 12(2022), 1, Seite 6 (DE-627)663366712 (DE-600)2615211-3 20452322 nnns volume:12 year:2022 number:1 pages:6 https://doi.org/10.1038/s41598-022-09657-0 kostenfrei https://doaj.org/article/c9a1c01fdd57417da4c9367326132264 kostenfrei https://doi.org/10.1038/s41598-022-09657-0 kostenfrei https://doaj.org/toc/2045-2322 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 1 6
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allfieldsSound	10.1038/s41598-022-09657-0 doi (DE-627)DOAJ033454647 (DE-599)DOAJc9a1c01fdd57417da4c9367326132264 DE-627 ger DE-627 rakwb eng Esther Annegret Pelzer verfasserin aut Clustering of Parkinson subtypes reveals strong influence of DRD2 polymorphism and gender 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Most classification approaches for idiopathic Parkinson’s disease subtypes primarily focus on motor and non-motor symptoms. Besides these characteristics, other features, including gender or genetic polymorphism of dopamine receptors are potential factors influencing the disease’s phenotype. By utilizing a kmeans-clustering algorithm we were able to identify three subgroups mainly characterized by gender, DRD2 Taq1A (rs1800497) polymorphism—associated with changes in dopamine signaling in the brain—and disease progression. A subsequent regression analysis of these subgroups further suggests an influence of their characteristics on the daily levodopa dosage, an indicator for medication response. These findings could promote further enhancements in individualized therapies for idiopathic Parkinson’s disease. Medicine R Science Q Sophie Stürmer verfasserin aut Delia-Lisa Feis verfasserin aut Corina Melzer verfasserin aut Frank Schwartz verfasserin aut Marcel Scharge verfasserin aut Carsten Eggers verfasserin aut Marc Tittgemeyer verfasserin aut Lars Timmermann verfasserin aut In Scientific Reports Nature Portfolio, 2011 12(2022), 1, Seite 6 (DE-627)663366712 (DE-600)2615211-3 20452322 nnns volume:12 year:2022 number:1 pages:6 https://doi.org/10.1038/s41598-022-09657-0 kostenfrei https://doaj.org/article/c9a1c01fdd57417da4c9367326132264 kostenfrei https://doi.org/10.1038/s41598-022-09657-0 kostenfrei https://doaj.org/toc/2045-2322 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 1 6
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author	Esther Annegret Pelzer
spellingShingle	Esther Annegret Pelzer misc Medicine misc R misc Science misc Q Clustering of Parkinson subtypes reveals strong influence of DRD2 polymorphism and gender
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topic_title	Clustering of Parkinson subtypes reveals strong influence of DRD2 polymorphism and gender
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title	Clustering of Parkinson subtypes reveals strong influence of DRD2 polymorphism and gender
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title_full	Clustering of Parkinson subtypes reveals strong influence of DRD2 polymorphism and gender
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title_sort	clustering of parkinson subtypes reveals strong influence of drd2 polymorphism and gender
title_auth	Clustering of Parkinson subtypes reveals strong influence of DRD2 polymorphism and gender
abstract	Abstract Most classification approaches for idiopathic Parkinson’s disease subtypes primarily focus on motor and non-motor symptoms. Besides these characteristics, other features, including gender or genetic polymorphism of dopamine receptors are potential factors influencing the disease’s phenotype. By utilizing a kmeans-clustering algorithm we were able to identify three subgroups mainly characterized by gender, DRD2 Taq1A (rs1800497) polymorphism—associated with changes in dopamine signaling in the brain—and disease progression. A subsequent regression analysis of these subgroups further suggests an influence of their characteristics on the daily levodopa dosage, an indicator for medication response. These findings could promote further enhancements in individualized therapies for idiopathic Parkinson’s disease.
abstractGer	Abstract Most classification approaches for idiopathic Parkinson’s disease subtypes primarily focus on motor and non-motor symptoms. Besides these characteristics, other features, including gender or genetic polymorphism of dopamine receptors are potential factors influencing the disease’s phenotype. By utilizing a kmeans-clustering algorithm we were able to identify three subgroups mainly characterized by gender, DRD2 Taq1A (rs1800497) polymorphism—associated with changes in dopamine signaling in the brain—and disease progression. A subsequent regression analysis of these subgroups further suggests an influence of their characteristics on the daily levodopa dosage, an indicator for medication response. These findings could promote further enhancements in individualized therapies for idiopathic Parkinson’s disease.
abstract_unstemmed	Abstract Most classification approaches for idiopathic Parkinson’s disease subtypes primarily focus on motor and non-motor symptoms. Besides these characteristics, other features, including gender or genetic polymorphism of dopamine receptors are potential factors influencing the disease’s phenotype. By utilizing a kmeans-clustering algorithm we were able to identify three subgroups mainly characterized by gender, DRD2 Taq1A (rs1800497) polymorphism—associated with changes in dopamine signaling in the brain—and disease progression. A subsequent regression analysis of these subgroups further suggests an influence of their characteristics on the daily levodopa dosage, an indicator for medication response. These findings could promote further enhancements in individualized therapies for idiopathic Parkinson’s disease.
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title_short	Clustering of Parkinson subtypes reveals strong influence of DRD2 polymorphism and gender
url	https://doi.org/10.1038/s41598-022-09657-0 https://doaj.org/article/c9a1c01fdd57417da4c9367326132264 https://doaj.org/toc/2045-2322
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Clustering of Parkinson subtypes reveals strong influence of DRD2 polymorphism and gender

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