rs11714574 - PXK
Magnitude 4.5 · 3 studies on file
Reported associations
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Genome-wide Association Study of Virologic Response with Efavirenz- or Abacavir-containing Regimens in AIDS Clinical Trials Group Protocols - Unknown journal (n.d.) · Unknown authors · PubMed 25461247
ABSTRACT: Background Efavirenz and abacavir are components of recommended first-line regimens for human immunodeficiency virus (HIV)-1 infection. We used genome-wide genotyping and clinical data to explore genetic associations with virologic failure among subjects randomized to efavirenz- or abacavir-containing regimens in AIDS Clinical Trials Group (ACTG) protocols. Methods Virologic response and genome-wide genotype data were available from treatment-naive subjects randomized to efavirenz-containing (n=1,596) or abacavir-containing (n=786) regimens in ACTG protocols 384, A5142, A5095, and A5202. Results Meta-analysis of association results across race/ethnic groups showed no genome-wide significant associations (p<5×10−8) with virologic response for either efavirenz or abacavir. Our s
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Genome-wide association study of serum liver enzymes implicates diverse metabolic and liver pathology - Unknown journal (n.d.) · Unknown authors · PubMed 33547301
ABSTRACT: Serum liver enzyme concentrations are the most frequently-used laboratory markers of liver disease, a major cause of mortality. We conduct a meta-analysis of genome-wide association studies of liver enzymes from UK BioBank and BioBank Japan. We identified 160 previously-unreported independent alanine aminotransferase, 190 aspartate aminotransferase, and 199 alkaline phosphatase genome-wide significant associations, with some affecting multiple different enzymes. Associated variants implicate genes that demonstrate diverse liver cell type expression and promote a range of metabolic and liver diseases. These findings provide insight into the pathophysiology of liver and other metabolic diseases that are associated with serum liver enzyme concentrations. Serum liver enzymes are used
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Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals - Unknown journal (n.d.) · Unknown authors · PubMed 35361970
ABSTRACT: We conduct a genome-wide association study (GWAS) of educational attainment (EA) in a sample of ~3 million individuals and identify 3,952 approximately uncorrelated genome-wide-significant single-nucleotide polymorphisms (SNPs). A genome-wide polygenic predictor, or polygenic index (PGI), explains 12-16% of EA variance and contributes to risk prediction for ten diseases. Direct effects (i.e., controlling for parental PGIs) explain roughly half the PGI's magnitude of association with EA and other phenotypes. The correlation between mate-pair PGIs is far too large to be consistent with phenotypic assortment alone, implying additional assortment on PGI-associated factors. In an additional GWAS of dominance deviations from the additive model, we identify no genome-wide-significan
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