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ABSTRACT: Background
Over the past decade genome-wide association studies (GWAS) have been applied to aid in the understanding of the biology of traits. The success of this approach is governed by the underlying effect sizes carried by the true risk variants and the corresponding statistical power to observe such effects given the study design and sample size under investigation. Previous ASD GWAS have identified genome-wide significant (GWS) risk loci; however, these studies were of only of low statistical power to identify GWS loci at the lower effect sizes (odds ratio (OR) <1.15).Methods
We conducted a large-scale coordinated international collaboration to combine independent genotyping data to improve the statistical power and aid in robust discovery of GWS loci. This study uses
SUBMITTER: Autism Spectrum Disorders Working Group of The Psychiatric Genomics Consortium
PROVIDER: S-EPMC5441062 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature