生物
代谢组
遗传学
外显子组测序
代谢组学
外显子组
等位基因
生物信息学
人类遗传学
基因
人口
计算生物学
表型
生物信息学
人口学
社会学
作者
Nora Scherer,Daniel Fässler,Oleg Borisov,Yurong Cheng,Pascal Schlosser,Matthias Wuttke,Stefan Haug,Yong Li,Fabian Telkämper,Suraj Patil,Heike Meiselbach,Christina S.F. Wong,Urs Berger,Peggy Sekula,Anselm Hoppmann,Ulla T. Schultheiß,Sahar V. Mozaffari,Yannan Xi,Robert Graham,Miriam Schmidts
标识
DOI:10.1038/s41588-024-01965-7
摘要
Abstract Genetic studies of the metabolome can uncover enzymatic and transport processes shaping human metabolism. Using rare variant aggregation testing based on whole-exome sequencing data to detect genes associated with levels of 1,294 plasma and 1,396 urine metabolites, we discovered 235 gene–metabolite associations, many previously unreported. Complementary approaches (genetic, computational (in silico gene knockouts in whole-body models of human metabolism) and one experimental proof of principle) provided orthogonal evidence that studies of rare, damaging variants in the heterozygous state permit inferences concordant with those from inborn errors of metabolism. Allelic series of functional variants in transporters responsible for transcellular sulfate reabsorption (SLC13A1, SLC26A1) exhibited graded effects on plasma sulfate and human height and pinpointed alleles associated with increased odds of diverse musculoskeletal traits and diseases in the population. This integrative approach can identify new players in incompletely characterized human metabolic reactions and reveal metabolic readouts informative of human traits and diseases.
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