Expressive

rs10086261 - HNF4G - RNU2-54P

Magnitude 2.0 · 3 studies on file

Reported associations

  • Investigating the shared genetic architecture between adiposity measures and obesity-related cancers - Briefings in bioinformatics (2025) · Wang S, Liu H, Yang Y, Wang Q, Zhang C, Zhang S, Gong J, Zhong R · PubMed 40874817

    ABSTRACT: Abstract Fat distribution patterns are increasingly linked to obesity-related cancers; however, their shared genetic determinants remain unclear. To identify shared genetic architecture between adiposity measures and obesity-related cancers. Utilizing large-scale summary statistics from genome-wide association study, we conducted genome-wide cross trait analyses of nine adiposity measures [body mass index (BMI), waist-to-hip (WTH) ratio, waist-to-hip ratio adjusted for BMI, arm fat ratio, trunk fat ratio, leg fat ratio, abdominal subcutaneous adipose tissue, gluteofemoral adipose tissue, and visceral adipose tissue] in five obesity-related cancers (colorectal cancer, esophageal adenocarcinoma, breast cancer, endometrial cancer, and ovarian cancer) to characterize their shared gen

  • Using human genetics to understand the phenotypic association between chronotype and breast cancer. - Journal of sleep research (2024) · Wu X, Yang C, Zou Y, Jones SE, Zhao X, Zhang L, Han Z, Hao Y, Xiao J, Xiao C, Zhang W, Yan P, Cui H, Tang M, Wang Y, Chen L, Zhang L, Yao Y, Liu Z, Li J, Jiang X, Zhang B · PubMed 37380357

    Little is known regarding the shared genetic influences underlying the observed phenotypic association between chronotype and breast cancer in women. Leveraging summary statistics from the hitherto largest genome-wide association study conducted in each trait, we investigated the genetic correlation, pleiotropic loci, and causal relationship of chronotype with overall breast cancer, and with its subtypes defined by the status of oestrogen receptor. We identified a negative genomic correlation between chronotype and overall breast cancer ( = -0.06, p = 3.00 × 10 ), consistent across oestrogen receptor-positive ( = -0.05, p = 3.30 × 10 ) and oestrogen receptor-negative subtypes ( = -0.05, p = 1.11 × 10 ). Five specific genomic regions were further identified

  • Shared genetic effect of kidney function on bipolar and major depressive disorders: a large-scale genome-wide cross-trait analysis - Human genomics (2024) · Yu S, Lin Y, Yang Y, Jin X, Liao B, Lu D, Huang J · PubMed 38858783

    ABSTRACT: Background Epidemiological studies have revealed a significant association between impaired kidney function and certain mental disorders, particularly bipolar disorder (BIP) and major depressive disorder (MDD). However, the evidence regarding shared genetics and causality is limited due to residual confounding and reverse causation. Methods In this study, we conducted a large-scale genome-wide cross-trait association study to investigate the genetic overlap between 5 kidney function biomarkers (eGFRcrea, eGFRcys, blood urea nitrogen (BUN), serum urate, and UACR) and 2 mental disorders (MDD, BIP). Summary-level data of European ancestry were extracted from UK Biobank, Chronic Kidney Disease Genetics Consortium, and Psychiatric Genomics Consortium. Results Using LD score regression

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