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Bitte verwenden Sie diesen Link, wenn Sie dieses Dokument zitieren oder verlinken wollen: https://nbn-resolving.org/urn:nbn:de:gbv:9-opus-63644

Whole Exome Sequencing Enhanced Imputation Identifies 85 Metabolite Associations in the Alpine CHRIS Cohort

  • Metabolites are intermediates or end products of biochemical processes involved in both health and disease. Here, we take advantage of the well-characterized Cooperative Health Research in South Tyrol (CHRIS) study to perform an exome-wide association study (ExWAS) on absolute concentrations of 175 metabolites in 3294 individuals. To increase power, we imputed the identified variants into an additional 2211 genotyped individuals of CHRIS. In the resulting dataset of 5505 individuals, we identified 85 single-variant genetic associations, of which 39 have not been reported previously. Fifteen associations emerged at ten variants with >5-fold enrichment in CHRIS compared to non-Finnish Europeans reported in the gnomAD database. For example, the CHRIS-enriched ETFDH stop gain variant p.Trp286Ter (rs1235904433-hexanoylcarnitine) and the MCCC2 stop lost variant p.Ter564GlnextTer3 (rs751970792-carnitine) have been found in patients with glutaric acidemia type II and 3-methylcrotonylglycinuria, respectively, but the loci have not been associated with the respective metabolites in a genome-wide association study (GWAS) previously. We further identified three gene-trait associations, where multiple rare variants contribute to the signal. These results not only provide further evidence for previously described associations, but also describe novel genes and mechanisms for diseases and disease-related traits.

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Metadaten
Author: Eva König, Johannes Rainer, Vinicius Verri Hernandes, Giuseppe Paglia, Fabiola Del Greco M., Daniele Bottigliengo, Xianyong Yin, Lap Sum Chan, Alexander Teumer, Peter P. Pramstaller, Adam E. Locke, Christian Fuchsberger
URN:urn:nbn:de:gbv:9-opus-63644
DOI:https://doi.org/10.3390/metabo12070604
ISSN:2218-1989
Parent Title (English):Metabolites
Publisher:MDPI
Place of publication:Basel
Editor: Karsten Suhre
Document Type:Article
Language:English
Date of first Publication:2022/06/29
Release Date:2022/11/15
Tag:ExWAS; GWAS; association study; imputation; metabolomics; whole-exome sequencing
GND Keyword:-
Volume:12
Issue:7
Faculties:Universitätsmedizin / Institut für Community Medicine
Licence (German):License LogoCreative Commons - Namensnennung