Evidence map›Paper›PMID 22426310›Full record

ArticleNature genetics2012

Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits.

Jian Yang, Teresa Ferreira, Andrew P Morris, Sarah E Medland, Genetic Investigation of ANthropometric Traits (GIANT) Consortium, DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Pamela A F Madden, Andrew C Heath, Nicholas G Martin, Grant W Montgomery and 7 more

Abstract read
In one paragraph

Article in Nature genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,169 papers, 27 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,169citing papers in PubMed, 27 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

1,169 citing papers in PubMed, 27 syntheses or guidelines pooled it.

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1,109 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Jian YangQueensland Institute of Medical Research, Brisbane, Queensland, Australia.
Teresa Ferreira
Andrew P Morris
Sarah E Medland
Genetic Investigation of ANthropometric Traits (GIANT) Consortium
DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium
Pamela A F Madden
Andrew C Heath
Nicholas G Martin
Grant W Montgomery
Michael N Weedon
Ruth J Loos
Timothy M Frayling
Mark I McCarthy
Joel N Hirschhorn
Michael E Goddard
Peter M Visscher

Funding

Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
Genome-Wide Association Analysis in Essential Hypertension (FEHGAS study)R01HL086694 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ARAVINDA CHAKRAVARTI · 2007 to 2026
$21.2M
Epidemiology of Venous Thrombosis & Pulmonary EmbolismR01HL059367 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI TANG, WEIHONG · 1998 to 2024
$11.8M
THE GENETICS OF VULNERABILITY TO NICOTINE ADDICTIONSR01DA012854 · NIDA · WASHINGTON UNIVERSITY · PI MADDEN, PAMELA ANN · 2000 to 2013
$10.4M
Molecular Epidemiology of Alcoholism 3 - EDAC FamiliesR01AA013321 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C. · 2001 to 2005
$4.3M
Genome-Wide Association for Loci Influencing CHD and Other Heart, Lung and BloodR01HL087641 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2006 to 2008
$3.7M
Molecular Epidemiology of Alcoholism 2- Big SibshipsR01AA013320 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C. · 2003 to 2007
$3.1M
Molecular Epidemiology of Alcoholism 1: Candidate GeneR01AA013326 · NIAAA · QUEENSLAND INSTITUTE OF MEDICAL RESEARCH · PI MARTIN, NICHOLAS G · 2001 to 2005
$2.1M
VARIATION IN THE EFFECTS OF ALCOHOL ON LIVER FUNCTIONR01AA014041 · NIAAA · QUEENSLAND INSTITUTE OF MEDICAL RESEARCH · PI WHITFIELD, JOHN B · 2003 to 2007
$2.1M
GENE-ENVIRONMENT INTERPLAY IN ALCOHOLISMK05AA017688 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C. · 2008 to 2017
$1.9M
GWA for Gene-Environment Interaction Effects Influencing CHDU01HG004402 · NHGRI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2007 to 2009
$1.6M
The Genetics of Vulnerability to Nicotine AddictionsR56DA012854 · NIDA · WASHINGTON UNIVERSITY · PI MADDEN, PAMELA ANN · 2007 to 2007
$436k
Medical Research Council MC_U106188470NCRR NIH HHS UL1 RR025005NCRR NIH HHS UL1RR025005NHGRI NIH HHS U01 HG004402NHGRI NIH HHS U01HG004402NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100009INHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100011INHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS R01 HL059367NHLBI NIH HHS R01 HL086694NHLBI NIH HHS R01HL086694NHLBI NIH HHS R01 HL087641NHLBI NIH HHS R01HL087641NHLBI NIH HHS R01HL59367NIAAA NIH HHS AA014041NIAAA NIH HHS AA10248NIAAA NIH HHS AA13320NIAAA NIH HHS AA13321NIAAA NIH HHS AA13326NIAAA NIH HHS K05 AA017688NIAAA NIH HHS R01 AA007535NIAAA NIH HHS R01 AA013320NIAAA NIH HHS R01 AA013321NIAAA NIH HHS R01 AA013326NIAAA NIH HHS R01 AA014041NIDA NIH HHS DA12854NIDA NIH HHS R01 DA012854NIDA NIH HHS R56 DA012854PHS HHS HHSN268200625226CWellcome Trust 090532Wellcome Trust WT083270
6 · The paper itself

Abstract

We present an approximate conditional and joint association analysis that can use summary-level statistics from a meta-analysis of genome-wide association studies (GWAS) and estimated linkage disequilibrium (LD) from a reference sample with individual-level genotype data. Using this method, we analyzed meta-analysis summary data from the GIANT Consortium for height and body mass index (BMI), with the LD structure estimated from genotype data in two independent cohorts. We identified 36 loci with multiple associated variants for height (38 leading and 49 additional SNPs, 87 in total) via a genome-wide SNP selection procedure. The 49 new SNPs explain approximately 1.3% of variance, nearly doubling the heritability explained at the 36 loci. We did not find any locus showing multiple associated SNPs for BMI. The method we present is computationally fast and is also applicable to case-control data, which we demonstrate in an example from meta-analysis of type 2 diabetes by the DIAGRAM Consortium.

Indexed as

Data Interpretation, StatisticalGenome-Wide Association StudyPolymorphism, Single NucleotideAlgorithmsBody HeightBody Mass IndexCase-Control StudiesCyclin-Dependent Kinase Inhibitor p15Diabetes Mellitus, Type 2Genetic LociGenetic VariationGenome, HumanGenotypeHumansLinkage DisequilibriumMeta-Analysis as TopicCDKN2B protein, humanCyclin-Dependent Kinase Inhibitor p15

Identifiers

PMID22426310
PMCPMC3593158

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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.