Accurate modeling of replication rates in genome-wide association studies by accounting for Winner’s Curse and study-specific heterogeneity
Jennifer Zou; Jinjing Zhou; Sarah Faller; Robert Brown; Sriram Sankararaman; Eleazar Eskin · 2022 · G3 Genes Genomes 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 identified thousands of genetic variants associated with complex human traits, but only a fraction of variants identified in discovery studies achieve significance in replication studies. Replication in genome-wide association studies has been well-studied in the context of Winner's Curse, which is the inflation of effect size estimates for significant variants due to statistical chance. However, Winner's Curse is often not sufficient to explain lack of replication. Another reason why studies fail to replicate is that there are fundamental difference
Abstract by Jennifer Zou; Jinjing Zhou; Sarah Faller; Robert Brown; Sriram Sankararaman; Eleazar Eskin, G3 Genes Genomes Genetics (2022) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1093/g3journal/jkac261
