Expressive

rs10256972 - CHLSN

Magnitude 2.8 · 2 studies on file

Reported associations

  • Pooling-Based Genome-Wide Association Study Identifies Risk Loci in the Pathogenesis of Ovarian Endometrioma in Chinese Han Women. - Reproductive sciences (Thousand Oaks, Calif.) (2017) · Wang W, Li Y, Li S, Wu Z, Yuan M, Wang T, Wang S · PubMed 27506219

    Endometriosis, regarded as a complex disease, is influenced by multiple genetic factors. Recent genome-wide association studies (GWASs) in endometriosis have identified several susceptibility loci in Caucasian and Japanese populations. However, the overlapped susceptible loci were few. This case-control study tried to identify risk loci-related genes for ovarian endometrioma in Chinese Han women from central China using DNA pooling-based GWAS. Genome DNA samples were extracted from 3038 participants in central China. Pooling-based genome-wide scan and individual genotyping were performed using Affymetrix Genome-Wide Human SNP Array 6.0 and IPLEX Gold system, which demonstrated 10 ovarian endometrioma-related novel risk loci. There were 3 of them with P value < 5 × 10 , separately locating

  • Joint influence of small-effect genetic variants on human longevity - Unknown journal (n.d.) · Unknown authors · PubMed 20834067

    ABSTRACT: The results of genome-wide association studies of complex traits, such as life span or age at onset of chronic disease, suggest that such traits are typically affected by a large number of small-effect alleles. Individually such alleles have little predictive values, therefore they were usually excluded from further analyses. The results of our study strongly suggest that the alleles with small individual effects on longevity may jointly influence life span so that the resulting influence can be both substantial and significant. We show that this joint influence can be described by a relatively simple "genetic dose - phenotypic response" relationship. FULL TEXT: [INTRO] The genome wide association studies (GWAS) were introduced to perform exhaustive analyses of genetic influ

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