Expressive

rs12031608 - LYPLAL1-AS1

Magnitude 2.2 · 2 studies on file

Reported associations

  • Investigation of the impact of gynoid fat on steatotic and advanced liver diseases-Genomic and clinical perspectives from a large-scale population cohort. - Clinical nutrition (Edinburgh, Scotland) (2025) · Liu Z, Chen H, Du H, Lin G, Tu T, Wan Z, Zhao N, Li G, Tang B, Wu H, Bai X, Wang QL, Mi J · PubMed 41314110

    Gynoid fat (hip-thigh subcutaneous adiposity) is metabolically favorable, yet its genetic architecture and impact on liver diseases are unknown. We aimed to identify genetic determinants of gynoid tissue fat percentage (GTFP) and explore their clinical implications to liver disease. We conducted a genome-wide association study (GWAS) in 37,385 European individuals from the UK Biobank to identify genetic variants associated with GTFP. A polygenic risk score (PRS) was then derived for GTFP. Post-GWAS analyses, including colocalization, transcriptome-wide association studies (TWAS), logistic regression models, and interaction analyses, were employed to assess the impact of GTFP indicated by PRS on alcoholic and non-alcoholic fatty liver disease (NAFLD), metabolic dysfunction associated steato

  • 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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