Expressive

rs1160312 - LINC01432

Magnitude 4.5 · 3 studies on file

Reported associations

  • Male-pattern baldness susceptibility locus at 20p11 - Unknown journal (n.d.) · Unknown authors · PubMed 18849991

    ABSTRACT: We conducted a genome-wide association study for androgenic alopecia in 1,125 men and identified a newly associated locus at chromosome 20p11.22, confirmed in three independent cohorts (n = 1,650; OR = 1.60, P = 1.1 × 10−14 for rs1160312). The one man in seven who harbors risk alleles at both 20p11.22 and AR (encoding the androgen receptor) has a sevenfold-increased odds of androgenic alopecia (OR = 7.12, P = 3.7 × 10−15). FULL TEXT: [INTRO] Androgenic alopecia is a common disorder affecting 40% of adult men and women. Men and women with hair loss experience negative body-image perceptions. Moreover, the mechanisms involved in androgenic alopecia may influence common medical disorders, such as coronary heart disease and metabolic syndrome. Underscoring the social implicati

  • Multitrait genome association analysis identifies new susceptibility genes for human anthropometric variation in the GCAT cohort - Unknown journal (n.d.) · Unknown authors · PubMed 30166351

    ABSTRACT: Background Heritability estimates have revealed an important contribution of SNP variants for most common traits; however, SNP analysis by single-trait genome-wide association studies (GWAS) has failed to uncover their impact. In this study, we applied a multitrait GWAS approach to discover additional factor of the missing heritability of human anthropometric variation. Methods We analysed 205 traits, including diseases identified at baseline in the GCAT cohort (Genomes For Life- Cohort study of the Genomes of Catalonia) (n=4988), a Mediterranean adult population-based cohort study from the south of Europe. We estimated SNP heritability contribution and single-trait GWAS for all traits from 15 million SNP variants. Then, we applied a multitrait-related approach to study genome-

  • Genetic prediction of male pattern baldness - Unknown journal (n.d.) · Unknown authors · PubMed 28196072

    ABSTRACT: Male pattern baldness can have substantial psychosocial effects, and it has been phenotypically linked to adverse health outcomes such as prostate cancer and cardiovascular disease. We explored the genetic architecture of the trait using data from over 52,000 male participants of UK Biobank, aged 40-69 years. We identified over 250 independent genetic loci associated with severe hair loss (P<5x10-8). By splitting the cohort into a discovery sample of 40,000 and target sample of 12,000, we developed a prediction algorithm based entirely on common genetic variants that discriminated (AUC = 0.78, sensitivity = 0.74, specificity = 0.69, PPV = 59%, NPV = 82%) those with no hair loss from those with severe hair loss. The results of this study might help identify those at greatest ris

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