rs1057227 - FRS3
Magnitude 2.0 · 2 studies on file
Reported associations
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The genetics of a "femaleness/maleness" score in cardiometabolic traits in the UK biobank - Scientific reports (2023) · Vosberg DE, Pausova Z, Paus T · PubMed 37277458
ABSTRACT: We recently devised continuous "sex-scores" that sum up multiple quantitative traits, weighted by their respective sex-difference effect sizes, as an approach to estimating polyphenotypic "maleness/femaleness" within each binary sex. To identify the genetic architecture underlying these sex-scores, we conducted sex-specific genome-wide association studies (GWASs) in the UK Biobank cohort (females: n = 161,906; males: n = 141,980). As a control, we also conducted GWASs of sex-specific "sum-scores", simply aggregating the same traits, without weighting by sex differences. Among GWAS-identified genes, while sum-score genes were enriched for genes differentially expressed in the liver in both sexes, sex-score genes were enriched for genes differentially expressed
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Genomics and phenomics of body mass index reveals a complex disease network - Nature communications (2023) · Huang J, Huffman JE, Huang Y, Do Valle Í, Assimes TL, Raghavan S, Voight BF, Liu C, Barabási AL, Huang RDL, Hui Q, Nguyen XT, Ho YL, Djousse L, Lynch JA, Vujkovic M, Tcheandjieu C, Tang H, Damrauer SM, Reaven PD, Miller D, Phillips LS, Ng MCY, Graff M, Haiman CA, Loos RJF, North KE, Yengo L, Smith GD, Saleheen D, Gaziano JM, Rader DJ, Tsao PS, Cho K, Chang KM, Wilson PWF, Sun YV, O'Donnell CJ · PubMed 36581621
ABSTRACT: Elevated body mass index (BMI) is heritable and associated with many health conditions that impact morbidity and mortality. The study of the genetic association of BMI across a broad range of common disease conditions offers the opportunity to extend current knowledge regarding the breadth and depth of adiposity-related diseases. We identify 906 (364 novel) and 41 (6 novel) genome-wide significant loci for BMI among participants of European (N~1.1 million) and African (N~100,000) ancestry, respectively. Using a BMI genetic risk score including 2446 variants, 316 diagnoses are associated in the Million Veteran Program, with 96.5% showing increased risk. A co-morbidity network analysis reveals seven disease communities containing multiple interconnected diseases associated with BMI
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