Evidence map›Paper›PMID 22892372›Full record

SynthesisHuman molecular genetics2012

Using genome-wide complex trait analysis to quantify 'missing heritability' in Parkinson's disease.

Margaux F Keller, Mohamad Saad, Jose Bras, Francesco Bettella, Nayia Nicolaou, Javier Simón-Sánchez, Florian Mittag, Finja Büchel, Manu Sharma, J Raphael Gibbs and 22 more

Erratum issuedAbstract readMeta-Analysis
In one paragraph

Synthesis in Human molecular genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 127 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
127citing papers in PubMed, 12 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

127 citing papers in PubMed, 12 syntheses or guidelines pooled it.

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  11. Genetic comorbidities in Parkinson's disease.Human molecular genetics · 2014
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67 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

  • Erratum issued
  • Erratum issued
5 · Who and what money

Authors and funding

32 authors.

Margaux F KellerLaboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA.
Mohamad Saad
Jose Bras
Francesco Bettella
Nayia Nicolaou
Javier Simón-Sánchez
Florian Mittag
Finja Büchel
Manu Sharma
J Raphael Gibbs
Claudia Schulte
Valentina Moskvina
Alexandra Durr
Peter Holmans
Laura L Kilarski
Rita Guerreiro
Dena G Hernandez
Alexis Brice
Pauli Ylikotila
Hreinn Stefánsson
Kari Majamaa
Huw R Morris
Nigel Williams
Thomas Gasser
Peter Heutink
Nicholas W Wood
John Hardy
Maria Martinez
Andrew B Singleton
Michael A Nalls
International Parkinson's Disease Genomics Consortium (IPDGC)
Wellcome Trust Case Control Consortium 2 (WTCCC2)

Funding

Washington University Institute of Clinical and Translational Sciences (UL1)UL1RR024992 · NCRR · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2007 to 2011
$45.4M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Genome wide SNP analysis in Parkinson's diseaseZIAAG000949 · NIA · NATIONAL INSTITUTE ON AGING · PI SINGLETON, ANDREW · 2009 to 2024
$12.6M
Washington University Center for Translational NeuroscienceP30NS057105 · NINDS · WASHINGTON UNIVERSITY · PI HOLTZMAN, DAVID M. · 2006 to 2011
$8.7M
INVESTIGATIONS OF DEMENTIA IN PARKINSON DISEASER01NS075321 · NINDS · WASHINGTON UNIVERSITY · PI CAMPBELL, MEGHAN C, PERLMUTTER, JOEL SYNES · 2011 to 2021
$8.2M
Prospective studies on Parkinson's diseaseZIAES101986 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI CHEN, HONGLEI · 2009 to 2016
$7.9M
MECHANISMS OF DEEP BRAIN STIMULATIONR01NS041509 · NINDS · WASHINGTON UNIVERSITY · PI PERLMUTTER, JOEL SYNES · 2001 to 2015
$6.8M
Genome wide SNP analysis in Parkinson's diseaseZ01AG000949 · NIA · NATIONAL INSTITUTE ON AGING · PI SINGLETON, ANDREW B · 2006 to 2008
$2.6M
Prospective studies on Parkinson's diseaseZ01ES101986 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI CHEN, HONGLEI · 2006 to 2008
$1.2M
Department of HealthIntramural NIH HHS Z01 AG000949Intramural NIH HHS Z01 ES101986Medical Research Council G0700943Medical Research Council G0701075Medical Research Council G0802462Medical Research Council G0901254Medical Research Council G1100479Medical Research Council G1100643Medical Research Council MC_G0901330Medical Research Council MC_G1000735Medical Research Council MC_PC_09003NCATS NIH HHS UL1 TR000448NCRR NIH HHS RR024992NCRR NIH HHS UL1 RR024992NIA NIH HHS Z01-AG000949-02NIEHS NIH HHS Z01-ES101986NINDS NIH HHS NS057105NINDS NIH HHS P30 NS057105NINDS NIH HHS R01 NS041509NINDS NIH HHS R01 NS075321Parkinson's UK G-0909Parkinson's UK G-1107Parkinson's UK J-0804Parkinson's UK J-0901Wellcome Trust 083948/Z/07/ZWellcome Trust 089698Wellcome Trust 090532Wellcome Trust WT089698/Z/09/Z
6 · The paper itself

Abstract

Genome-wide association studies (GWASs) have been successful at identifying single-nucleotide polymorphisms (SNPs) highly associated with common traits; however, a great deal of the heritable variation associated with common traits remains unaccounted for within the genome. Genome-wide complex trait analysis (GCTA) is a statistical method that applies a linear mixed model to estimate phenotypic variance of complex traits explained by genome-wide SNPs, including those not associated with the trait in a GWAS. We applied GCTA to 8 cohorts containing 7096 case and 19 455 control individuals of European ancestry in order to examine the missing heritability present in Parkinson's disease (PD). We meta-analyzed our initial results to produce robust heritability estimates for PD types across cohorts. Our results identify 27% (95% CI 17-38, P = 8.08E - 08) phenotypic variance associated with all types of PD, 15% (95% CI -0.2 to 33, P = 0.09) phenotypic variance associated with early-onset PD and 31% (95% CI 17-44, P = 1.34E - 05) phenotypic variance associated with late-onset PD. This is a substantial increase from the genetic variance identified by top GWAS hits alone (between 3 and 5%) and indicates there are substantially more risk loci to be identified. Our results suggest that although GWASs are a useful tool in identifying the most common variants associated with complex disease, a great deal of common variants of small effect remain to be discovered.

Indexed as

Genome-Wide Association StudyMultifactorial InheritanceQuantitative Trait, HeritableAdultAgedAged, 80 and overFemaleGenetic Predisposition to DiseaseGenetic VariationHumansMaleMiddle AgedParkinson DiseaseWhite People

Identifiers

PMID22892372
PMCPMC3576713

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.