Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
Genetic estimators of DNA methylation provide insights into the molecular basis of polygenic traits
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4487678
Author(s) Freytag, Virginie; Vukojevic, Vanja; Wagner-Thelen, Holger; Milnik, Annette; Vogler, Christian; Leber, Markus; Weinhold, Leonie; Böhmer, Anne C.; Riedel-Heller, Steffi; Maier, Wolfgang; de Quervain, Dominique J.-F.; Ramirez, Alfredo; Papassotiropoulos, Andreas
Author(s) at UniBasel Papassotiropoulos, Andreas
Milnik, Annette
de Quervain, Dominique
Year 2018
Title Genetic estimators of DNA methylation provide insights into the molecular basis of polygenic traits
Journal Translational Psychiatry
Volume 8
Number 1
Pages / Article-Number 31
Mesh terms Adolescent; Adult; Aged; Aged, 80 and over; CpG Islands, genetics; DNA Methylation, genetics; Female; Gene Expression, genetics; Genetic Loci, genetics; Genome-Wide Association Study, methods; Genotype; Humans; Male; Multifactorial Inheritance, genetics; Schizophrenia, genetics; Young Adult
Abstract The large biological distance between genetic risk loci and their mechanistic consequences in the tissue of interest limits the ability to establish functionality of susceptibility variants for genetically complex traits. Such a biological gap may be reduced through the systematic study of molecular mediators of genomic action, such as epigenetic modification. Here, we report the identification of robust genetic estimators of whole-blood CpG methylation, which can serve as intermediate molecular traits amenable to association testing with other genetically complex traits. We describe the relationship between these estimators and gene expression, demonstrate their genome-wide applicability to association testing even in the absence of individual genotypic data, and show that these estimators powerfully identify methylation-related genomic loci associated with polygenic traits and common diseases, such as schizophrenia. The use of genetic estimators for blood DNA methylation, which are made publically available, can serve as a valuable tool for the identification of epigenetic underpinnings of complex traits.
Publisher Nature Publishing Group
ISSN/ISBN 2158-3188
edoc-URL https://edoc.unibas.ch/66834/
Full Text on edoc No
Digital Object Identifier DOI 10.1038/s41398-017-0070-x
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/29382824
ISI-Number WOS:000424025300003
Document type (ISI) Journal Article
 
   

MCSS v5.8 PRO. 0.383 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
25/04/2024