Across-cohort QC analyses of GWAS summary statistics from complex traits

European Journal of Human Genetics

Volumn 25, Issue 1, 2016, Pages 137-146

  Chen, Guo Bo ^a   Lee, Sang Hong ^a,b   Robinson, Matthew R ^a   Trzaskowski, Maciej ^a   Zhu, Zhi Xiang ^c   Winkler, Thomas W ^d   Day, Felix R ^e   Croteau Chonka, Damien C ^f,g   Wood, Andrew R ^h   Locke, Adam E ⁱ   Kutalik, Zoltán ^j,k,l   Loos, Ruth J F ^m   Frayling, Timothy M ^h   Hirschhorn, Joel N ^n,o,p   Yang, Jian ^a   Wray, Naomi R ^a   Visscher, Peter M ^a,b  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b UNIVERSITY OF NEW ENGLAND   (Australia)

^c SPLUS Game   (China)

^d UNIVERSITY OF REGENSBURG   (Germany)

^e ADDENBROOKE S HOSPITAL   (United Kingdom)

^f UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^g BRIGHAM AND WOMEN S HOSPITAL   (United States)

^h UNIVERSITY OF EXETER MEDICAL SCHOOL   (United Kingdom)

ⁱ UNIVERSITY OF MICHIGAN   (United States)

^j UNIVERSITY OF LAUSANNE   (Switzerland)

^k UNIVERSITY OF LAUSANNE   (Switzerland)

^l SWISS INSTITUTE OF BIOINFORMATICS   (Switzerland)

^m MOUNT SINAI SCHOOL OF MEDICINE   (United States)

ⁿ HARVARD MEDICAL SCHOOL   (United States)

^o BROAD INSTITUTE OF MIT AND HARVARD   (United States)

^p BOSTON CHILDREN S HOSPITAL   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ALLELE; BODY MASS; COHORT ANALYSIS; CONFERENCE PAPER; GENE FREQUENCY; GENETIC DISTANCE; GENOME-WIDE ASSOCIATION STUDY; HEALTH STATISTICS; HEREDITY; HUMAN; POPULATION GENETICS; PRIORITY JOURNAL; QUANTITATIVE TRAIT; SINGLE NUCLEOTIDE POLYMORPHISM; GENETIC HETEROGENEITY; GENETICS; GENOTYPE; META ANALYSIS (TOPIC); PHENOTYPE; QUANTITATIVE TRAIT LOCUS; SOFTWARE; STATISTICS AND NUMERICAL DATA;

ALLELES; COHORT STUDIES; GENETIC HETEROGENEITY; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HUMANS; META-ANALYSIS AS TOPIC; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; QUANTITATIVE TRAIT LOCI; SOFTWARE;

EID: 84983451946     PISSN: 10184813     EISSN: 14765438     Source Type: Journal    
DOI: 10.1038/ejhg.2016.106     Document Type: Conference Paper

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