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Non‐replication of association for six polymorphisms from meta‐analysis of genome‐wide association studies of Parkinson's disease: Large‐scale collaborative study

Identifieur interne : 001411 ( Main/Curation ); précédent : 001410; suivant : 001412

Non‐replication of association for six polymorphisms from meta‐analysis of genome‐wide association studies of Parkinson's disease: Large‐scale collaborative study

Auteurs : Evangelos Evangelou [Grèce, Suisse] ; Demetrius M. Maraganore [États-Unis] ; Grazia Annesi [Italie] ; Laura Brighina [Italie] ; Alexis Brice [France] ; Alexis Elbaz [France] ; Carlo Ferrarese [Italie] ; Georgios M. Hadjigeorgiou [Grèce] ; Rejko Krueger [Allemagne] ; Jean-Charles Lambert [France] ; Suzanne Lesage [France] ; Katerina Markopoulou [Grèce] ; George D. Mellick [Australie] ; Bram Meeus [Belgique] ; Nancy L. Pedersen [Suède] ; Aldo Quattrone [Italie] ; Christine Van Broeckhoven [Belgique] ; Manu Sharma [Allemagne] ; Peter A. Silburn [Australie] ; Eng-King Tan [Singapour] ; Karin Wirdefeldt [Suède] ; John P. A. Ioannidis [Grèce, États-Unis]

Source :

RBID : ISTEX:68E70C853EFE5AFD90130B73F5F1049A38153365

English descriptors

Abstract

Early genome‐wide association (GWA) studies on Parkinson's disease (PD) have not been able to yield conclusive, replicable signals of association, perhaps due to limited sample size. We aimed to investigate whether association signals derived from the meta‐analysis of the first two GWA investigations might be replicable in different populations. We examined six single‐nucleotide polymorphisms (SNPs) (rs1000291, rs1865997, rs2241743, rs2282048, rs2313982, and rs3018626) that had reached nominal significance with at least two of three different strategies proposed in a previous analysis of the original GWA studies. Investigators from the “Genetic Epidemiology of Parkinson's Disease” (GEOPD) consortium were invited to join in this study. Ten teams contributed replication data from 3,458 PD cases and 3,719 controls. The data from the two previously published GWAs (599 PD cases, 592 controls and 443 sibling pairs) were considered as well. All data were synthesized using both fixed and random effects models. The summary allelic odds ratios were ranging from 0.97 to 1.09 by random effects, when all data were included. The summary estimates of the replication data sets (excluding the original GWA data) were very close to 1.00 (range 0.98–1.09) and none of the effects were nominally statistically significant. The replication data sets had significantly different results than the GWA data. Our data do not support evidence that any of these six SNPs reflect susceptibility markers for PD. Much stronger signals of statistical significance in GWA platforms are needed to have substantial chances of replication. Specifically in PD genetics, this would require much larger GWA studies and perhaps novel analytical techniques. © 2009 Wiley‐Liss, Inc.

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DOI: 10.1002/ajmg.b.30980

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ISTEX:68E70C853EFE5AFD90130B73F5F1049A38153365

Le document en format XML

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<name sortKey="Van Broeckhoven, Christine" sort="Van Broeckhoven, Christine" uniqKey="Van Broeckhoven C" first="Christine" last="Van Broeckhoven">Christine Van Broeckhoven</name>
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<name sortKey="Tan, Eng Ing" sort="Tan, Eng Ing" uniqKey="Tan E" first="Eng-King" last="Tan">Eng-King Tan</name>
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<mods:affiliation>Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Tufts University School of Medicine, Boston, Massachusetts</mods:affiliation>
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<title level="a" type="main" xml:lang="en">Non‐replication of association for six polymorphisms from meta‐analysis of genome‐wide association studies of Parkinson's disease: Large‐scale collaborative study</title>
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<name sortKey="Annesi, Grazia" sort="Annesi, Grazia" uniqKey="Annesi G" first="Grazia" last="Annesi">Grazia Annesi</name>
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<name sortKey="Elbaz, Alexis" sort="Elbaz, Alexis" uniqKey="Elbaz A" first="Alexis" last="Elbaz">Alexis Elbaz</name>
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<name sortKey="Ferrarese, Carlo" sort="Ferrarese, Carlo" uniqKey="Ferrarese C" first="Carlo" last="Ferrarese">Carlo Ferrarese</name>
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<name sortKey="Hadjigeorgiou, Georgios M" sort="Hadjigeorgiou, Georgios M" uniqKey="Hadjigeorgiou G" first="Georgios M." last="Hadjigeorgiou">Georgios M. Hadjigeorgiou</name>
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<wicri:regionArea>Department of Neurology, Laboratory of Neurogenetics, University of Thessaly, School of Medicine, Larissa</wicri:regionArea>
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<name sortKey="Krueger, Rejko" sort="Krueger, Rejko" uniqKey="Krueger R" first="Rejko" last="Krueger">Rejko Krueger</name>
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<mods:affiliation>Department of Neurology, Hertie Institute for Clinical Brain Research, University Hospital Tuebingen, Tuebingen, Germany</mods:affiliation>
<country xml:lang="fr">Allemagne</country>
<wicri:regionArea>Department of Neurology, Hertie Institute for Clinical Brain Research, University Hospital Tuebingen, Tuebingen</wicri:regionArea>
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<name sortKey="Lambert, Jean Harles" sort="Lambert, Jean Harles" uniqKey="Lambert J" first="Jean-Charles" last="Lambert">Jean-Charles Lambert</name>
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<country xml:lang="fr">France</country>
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<name sortKey="Ioannidis, John P A" sort="Ioannidis, John P A" uniqKey="Ioannidis J" first="John P. A." last="Ioannidis">John P. A. Ioannidis</name>
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<series>
<title level="j">American Journal of Medical Genetics Part B: Neuropsychiatric Genetics</title>
<title level="j" type="abbrev">Am. J. Med. Genet.</title>
<idno type="ISSN">1552-4841</idno>
<idno type="eISSN">1552-485X</idno>
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<publisher>Wiley Subscription Services, Inc., A Wiley Company</publisher>
<pubPlace>Hoboken</pubPlace>
<date type="published" when="2010-01">2010-01</date>
<biblScope unit="volume">153B</biblScope>
<biblScope unit="issue">1</biblScope>
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<idno type="istex">68E70C853EFE5AFD90130B73F5F1049A38153365</idno>
<idno type="DOI">10.1002/ajmg.b.30980</idno>
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<idno type="ISSN">1552-4841</idno>
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<keywords scheme="KwdEn" xml:lang="en">
<term>Parkinson's disease</term>
<term>genome‐wide association</term>
<term>meta‐analysis</term>
</keywords>
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<language ident="en">en</language>
</langUsage>
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<front>
<div type="abstract" xml:lang="en">Early genome‐wide association (GWA) studies on Parkinson's disease (PD) have not been able to yield conclusive, replicable signals of association, perhaps due to limited sample size. We aimed to investigate whether association signals derived from the meta‐analysis of the first two GWA investigations might be replicable in different populations. We examined six single‐nucleotide polymorphisms (SNPs) (rs1000291, rs1865997, rs2241743, rs2282048, rs2313982, and rs3018626) that had reached nominal significance with at least two of three different strategies proposed in a previous analysis of the original GWA studies. Investigators from the “Genetic Epidemiology of Parkinson's Disease” (GEOPD) consortium were invited to join in this study. Ten teams contributed replication data from 3,458 PD cases and 3,719 controls. The data from the two previously published GWAs (599 PD cases, 592 controls and 443 sibling pairs) were considered as well. All data were synthesized using both fixed and random effects models. The summary allelic odds ratios were ranging from 0.97 to 1.09 by random effects, when all data were included. The summary estimates of the replication data sets (excluding the original GWA data) were very close to 1.00 (range 0.98–1.09) and none of the effects were nominally statistically significant. The replication data sets had significantly different results than the GWA data. Our data do not support evidence that any of these six SNPs reflect susceptibility markers for PD. Much stronger signals of statistical significance in GWA platforms are needed to have substantial chances of replication. Specifically in PD genetics, this would require much larger GWA studies and perhaps novel analytical techniques. © 2009 Wiley‐Liss, Inc.</div>
</front>
</TEI>
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