Expressive

rs11031812 - WT1-AS

Magnitude 2.2 · 2 studies on file

Reported associations

  • Genetic contribution of reproductive traits to risk of uterine leiomyomata: a large-scale, genome-wide, cross-trait analysis. - American journal of obstetrics and gynecology (2024) · Xiao C, Wu X, Gallagher CS, Rasooly D, Jiang X, Morton CC · PubMed 38191017

    Although phenotypic associations between female reproductive characteristics and uterine leiomyomata have long been observed in epidemiologic investigations, the shared genetic architecture underlying these complex phenotypes remains unclear. We aimed to investigate the shared genetic basis, pleiotropic effects, and potential causal relationships underlying reproductive traits (age at menarche, age at natural menopause, and age at first birth) and uterine leiomyomata. With the use of large-scale, genome-wide association studies conducted among women of European ancestry for age at menarche (n=329,345), age at natural menopause (n=201,323), age at first birth (n=418,758), and uterine leiomyomata (n /n =35,474/267,505), we performed a comprehensive, genome-wide, cross-trait analysis to exami

  • Identification of fifty-seven novel loci for abdominal wall hernia development and their biological and clinical implications: results from the UK Biobank. - Hernia : the journal of hernias and abdominal wall surgery (2022) · Wei J, Attaar M, Shi Z, Na R, Resurreccion WK, Haggerty SP, Zheng SL, Helfand BT, Ujiki MB, Xu J · PubMed 34382107

    Familial aggregation is known for both hernia development and recurrence. To date, only one genome-wide association study (GWAS) limited to inguinal hernia has been reported that identified four risk-associated loci. We aim to investigate polygenic architecture of abdominal wall hernia development and recurrence. A GWAS was performed in 367,394 subjects from the UK Biobank to investigate the polygenic architecture of abdominal wall hernia subtypes (inguinal, femoral, umbilical, ventral) and identify specific single nucleotide polymorphisms (SNPs) that are associated with their risk. Expression quantitative trait loci (eQTL) analysis was performed to identify genes whose expression levels are associated with these SNPs. A genetic risk score (GRS) was used to assess the cumulative effect of

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