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

Journal article

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 w...

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Authors: Yang, J; Ferreira, T; Morris, A; Medland, SE; Madden, P

• Publication status: Published
• Journal: Nature genetics
• Volume: 44
• Issue: 4
• Pages: 369-S3
• Publication date: 2012-04-01
• DOI: 10.1038/ng.2213
• EISSN: 1546-1718
• ISSN: 1061-4036
• Language: English
• Keywords: Genetic Investigation of ANthropometric Traits (GIANT) Consortium; Genetic Loci; DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium; Cyclin-Dependent Kinase Inhibitor p15; Genome, Human; Humans; Diabetes Mellitus, Type 2; Body Height; Genotype; Phenotype; Data Interpretation, Statistical; Meta-Analysis as Topic; Case-Control Studies; Body Mass Index; Genome-Wide Association Study; Polymorphism, Single Nucleotide; Linkage Disequilibrium; Algorithms; Genetic Variation