rs10276674 - DGKB

Magnitude 2.0 · 1 study on file

Reported associations

• Pleiotropy informed adaptive association test of multiple traits using GWAS summary data - Biometrics (2020) · Masotti M, Guo B, Wu B · PubMed 31021400

  ABSTRACT: Summary: Genetic variants associated with disease outcomes can be used to develop personalized treatment. To reach this precision medicine goal, hundreds of large-scale genome-wide association studies (GWAS) have been conducted in the past decade to search for promising genetic variants associated with various traits. They have successfully identified tens of thousands of diseases related variants. However in total these identified variants explain only part of the variation for most complex traits. There remain many genetic variants with small effect sizes to be discovered, which calls for the development of (1) GWAS with more samples and more comprehensively genotyped variants, e.g., the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program is planning to conduct whole geno

Auto-generated from study metadata. AI-synthesised commentary is added when this entry is regenerated through content-service's LLM mode.