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. 2023 Oct 18;15(20):4422. doi: 10.3390/nu15204422

Table A1.

Data sources of genetic association for the exposures and the outcomes.

Trait Unit Cohort(s) or Consortium Simple Size or Cases/Sample Size First Author, Year
Exposures PIVUS, SHIP-TREND, SKIPOGH, TwinGene, TwinsUK, ULSAM
Plasma caffeine level SD 9876 Cornelis, 2016 [17]
Caffeine intake SD ARIC, PLCO, NHS, HPFS, WGHS 47,341 Cornelis, 2011 [16]
Outcome
eGFRcyst log(mL/min/1.73 m2) CKDGen + UK Biobank 460,826 Stanzick, 2021 [19]
eGFRcrea log(mL/min/1.73 m2) CKDGen + UK Biobank 1,004,040 Stanzick, 2021 [19]
Urinary sodium SD UK Biobank 326,831 Hemani, 2018 [23]
BUN log/mg/dL) CKDGen 480,698 Wuttke, 2019 [20]
UACR log(mg/mmol) CKDGen 192,868 Teumer, 2019 [21]
CKD log(OR) CKDGen 41,395/439,303 Wuttke, 2019 [20]

Abbrevations: ARIC: Atherosclerosis Risk in Communities; BUN: Blood Urea Nitrogen; CKD: Chronic Kidney Disease; CKDGen: Chronic Kidney Disease Genetics Consortium; eGFRcyst: Glomerular Filtration Rate estimated using cystatin C; eGFRcrea: Glomerular Filtration Rate estimated using creatinine; HPFS: the Health Professionals Follow-Up Study; NHS (the Nurses’ Health Study); PIVUS: the Prospective Study of the Vasculature in Uppsala Seniors (PIVUS); PLCO: the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial; SHIP-TREND: the Study of Health in Pomerania TREND; SKIPOGH: the Swiss Kidney Project on Genes in Hypertension; UACR: urine albumin-creatinine ratio; ULSAM: Uppsala Longitudinal Study of Adult Men (ULSAM); WGHS: the Women’s Genome Health Study.