rs10982256 - WHRN

Magnitude 2.0 · 1 study on file

Reported associations

• Propensity Score-Based Nonparametric Test Revealing Genetic Variants Underlying Bipolar Disorder - Unknown journal (n.d.) · Unknown authors · PubMed 21254220

  ABSTRACT: Association analysis has led to identification of many genetic variants for complex diseases. While assessing the association between genes and a disease, other factors can play an important role. The consequence of not considering covariates (such as population stratification and environmental factors) is well-documented in genetic studies. We introduce a nonparametric test of association that adjusts for covariate effects. Specifically, the adjustment is realized through weights that are constructed from genomic propensity scores that summarize the contribution of all covariates. The benefit of our test is demonstrated through an important dataset on bipolar disorder (BD) collected by the Wellcome Trust Case Control Consortium (WTCCC). When compared to other tests, our test ide

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