Systematic mediation and interaction analyses in an individual population study help characterize kidney function genetic loci

Author:

Ghasemi-Semeskandeh DariushORCID,Emmert David,König EvaORCID,Foco LuisaORCID,Gögele Martin,Barin LauraORCID,Fujii RyosukeORCID,Fuchsberger ChristianORCID,Peters Dorien J.M.ORCID,Pramstaller Peter P.ORCID,Pattaro CristianORCID

Abstract

AbstractChronic kidney disease (CKD) is a complex disease affecting >10% of the global population, with large between- and within-continent variability reflecting major environmental effects. To identify molecular targets for treatment, genome-wide association study meta-analyses (GWAMAs) of CKD-defining traits have identified hundreds of genetic loci in aggregated populations. However, while GWAMAs estimate the average allelic effect across studies, single population studies may be relevant to unravel specific mechanisms. To assess whether an individual study from a specific population could extend existing knowledge on kidney function genetics, we selected 147 kidney function relevant loci identified by a large European ancestry GWAMA, assessing their association with the glomerular filtration rate estimated from serum creatinine (eGFRcrea) in the Cooperative Health Research In South Tyrol (CHRIS) study (n=10,146), conducted in an Alpine region where thyroid dysfunction is common. We replicated associations with single nucleotide polymorphisms (SNPs) at 11 loci, showing up-to-5.4 times larger effect sizes than in the corresponding GWAMA, not explainable by minor allele frequency differences. Systematic mediation analysis across 70 quantitative traits identified serum magnesium, the activated partial thromboplastin time, and serum urate as partial mediators of the eGFRcrea associations atSHROOM3,SLC34A1, andIGF1R, respectively. Given that free triiodothyronine and thyroxine were effect modifiers across all loci, we conducted SNP-by-thyroid stimulating hormone (TSH) interaction analyses, identifying significant interactions atSTC1: SNPs had larger effects on eGFRcrea at higher TSH levels, possibly reflecting stanniocalcin-1 autocrine and paracrine role. Individual population studies can help characterize genetic associations. The interplay between phenotypes atSHROOM3andSLC34A1and the role of thyroid function as a genetic effect modifier warrant further investigations.

Publisher

Cold Spring Harbor Laboratory

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