DOI: 10.6084/m9.figshare.24591573
title: GWAS of frailty and selected clinical biomarkers in subgroups of UK Biobank

description: GWAS summary statistics used for conducting Mendelian randomization between metabolic biomarkers and frailty. Full details can be found in the publication (https://doi.org/10.1111/acel.13868) and Table S11 of the paper (https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111/acel.13868&file=acel13868-sup-0002-TablesS1-S18.xlsx).<b>Reference: </b>Mak JKL, Kananen L, Qin C, Kuja-Halkola R, Tang B, Lin J, Wang Y, Jääskeläinen T, Koskinen S, Lu Y, Magnusson PKE, Hägg S, Jylhävä J. Unraveling the metabolic underpinnings of frailty using multicohort observational and Mendelian randomization analyses. Aging Cell. 2023 Aug;22(8):e13868. doi: 10.1111/acel.13868. Epub 2023 May 15. PMID: 37184129; PMCID: PMC10410014.<b>Method: </b>Briefly, we performed GWAS for 13 clinical biomarkers in a randomly selected 50% of the UK Biobank sample who were eligible and passed quality control (<i>n</i> = up to 204,402; excluded individuals with non-European ancestry, consent withdrawal, sex chromosome aneuploidy, extreme heterozygosity or missingness, and without genotype and phenotype data). A mixed linear model-based GWAS analysis (“fastGWA”) was used (Jiang et al., 2019). Age, sex, genotyping array, and the first 10 principal components were included as covariates. We also performed a GWAS for the frailty index (FI) and frailty phenotype (FP) scores in UK Biobank to obtain summary statistics for the SNP-frailty (outcome) associations. The GWAS for frailty was performed in UKB subsamples that did not overlap with the exposure GWASs to avoid biasing the two-sample MR analysis.<b>List of GWAS datasets:</b>"<i>ALP_random50.fastgwa</i>": GWAS of alkaline phosphatase in a randomly selected subset of UK Biobank participants (n=194,576)"<i>ApoB_random50.fastgwa</i>": GWAS of apolipoprotein B in a randomly selected subset of UK Biobank participants (n=193,604)"<i>Creatinine_random50.fastgwa</i>": GWAS of creatinine in a randomly selected subset of UK Biobank participants (n=194,465)"<i>CysC_random50.fastgwa</i>": GWAS of cystatin C in a randomly selected subset of UK Biobank participants (n=194,545)"<i>GGT_random50.fastgwa</i>": GWAS of gamma glutamyltransferase in a randomly selected subset of UK Biobank participants (n=194,466)"<i>IGF1_random50.fastgwa</i>": GWAS of insulin-like growth factor 1 in a randomly selected subset of UK Biobank participants (n=193,517)"<i>Microalbumin_urine_random50.fastgwa</i>": GWAS of microalbumin (urine) in a randomly selected subset of UK Biobank participants (n=61,675)"<i>Phosphate_random50.fastgwa</i>": GWAS of phosphate in a randomly selected subset of UK Biobank participants (n=177,797)"<i>Potassium_urine_random50.fastgwa</i>": GWAS of potassium (urine) in a randomly selected subset of UK Biobank participants (n=197,807)"<i>SHBG_random50.fastgwa</i>": GWAS of sex hormone binding globulin in a randomly selected subset of UK Biobank participants (n=176,414)"<i>Testosterone_random50.fastgwa</i>": GWAS of testosterone in a randomly selected subset of UK Biobank participants (n=176,307)"<i>Total_bil_random50.fastgwa</i>": GWAS of total bilirubin in a randomly selected subset of UK Biobank participants (n=193,741)"<i>VitD_random50.fastgwa</i>": GWAS of vitamin D in a randomly selected subset of UK Biobank participants (n=185,948)"<i>fp.fastgwa</i>": GWAS of the frailty phenotype score in the full UK Biobank cohort (n=403,041)"<i>fp_nometabolomics.fastgwa</i>": GWAS of the frailty phenotype score in a subset of UK Biobank participants without metabolomics data (n=305,791)"<i>fp_random50.fastgwa</i>": GWAS of the frailty phenotype score in a randomly selected subset of UK Biobank participants (n=201,574)"<i>fi.fastgwa</i>": GWAS of the frailty index in the full UK Biobank cohort (n=403,041)"<i>fi_nometabolomics.fastgwa</i>": GWAS of the frailty index in a subset of UK Biobank participants without metabolomics data (n=305,791)"<i>fi_random50.fastgwa</i>": GWAS of the frailty index in a randomly selected subset of UK Biobank participants (n=201,574)<br>