High Trans-ethnic Replicability of GWAS Results Implies Common Causal Variants
Urko M. Marigorta; Arcadi Navarro · 2013 · PLoS Genetics
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Genome-wide association studies (GWAS) have detected many disease associations. However, the reported variants tend to explain small fractions of risk, and there are doubts about issues such as the portability of findings over different ethnic groups or the relative roles of rare versus common variants in the genetic architecture of complex disease. Studying the degree of sharing of disease-associated variants across populations can help in solving these issues. We present a comprehensive survey of GWAS replicability across 28 diseases. Most loci and SNPs discovered in Europeans for these cond
Abstract by Urko M. Marigorta; Arcadi Navarro, PLoS Genetics (2013) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1371/journal.pgen.1003566