Expressive

rs11622475 - TDRD9

Magnitude 2.2 · 2 studies on file

Reported associations

  • Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls - Unknown journal (n.d.) · Unknown authors · PubMed 17554300

    ABSTRACT: There is increasing evidence that genome-wide association (GWA) studies represent a powerful approach to the identification of genes involved in common human diseases. We describe a joint GWA study (using the Affymetrix GeneChip 500K Mapping Array Set) undertaken in the British population, which has examined ~2,000 individuals for each of 7 major diseases and a shared set of ~3,000 controls. Case-control comparisons identified 24 independent association signals at P<5×10-7: 1 in bipolar disorder, 1 in coronary artery disease, 9 in Crohn's disease, 3 in rheumatoid arthritis, 7 in type 1 diabetes and 3 in type 2 diabetes. On the basis of prior findings and replication studies thus-far completed, almost all of these signals reflect genuine susceptibility effects. We observed asso

  • 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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