dc.contributor.author
Jäger, Susanne
dc.contributor.author
Wahl, Simone
dc.contributor.author
Kröger, Janine
dc.contributor.author
Sharma, Sapna
dc.contributor.author
Hoffmann, Per
dc.contributor.author
Floegel, Anna
dc.contributor.author
Pischon, Tobias
dc.contributor.author
Prehn, Cornelia [u.a.]
dc.date.accessioned
2018-06-08T10:26:31Z
dc.date.available
2017-10-06T10:30:21.315Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/20454
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-23757
dc.description.abstract
Diabetes-associated metabolites may aid the identification of new risk
variants for type 2 diabetes. Using targeted metabolomics within a subsample
of the German EPIC-Potsdam study (n = 2500), we tested previously published
SNPs for their association with diabetes-associated metabolites and conducted
an additional exploratory analysis using data from the exome chip including
replication within 2,692 individuals from the German KORA F4 study. We
identified a total of 16 loci associated with diabetes-related metabolite
traits, including one novel association between rs499974 (MOGAT2) and a
diacyl-phosphatidylcholine ratio (PC aa C40:5/PC aa C38:5). Gene-based tests
on all exome chip variants revealed associations between GFRAL and PC aa
C42:1/PC aa C42:0, BIN1 and SM (OH) C22:2/SM C18:0 and TFRC and SM (OH)
C22:2/SM C16:1). Selecting variants for gene-based tests based on functional
annotation identified one additional association between OR51Q1 and hexoses.
Among single genetic variants consistently associated with diabetes-related
metabolites, two (rs174550 (FADS1), rs3204953 (REV3L)) were significantly
associated with type 2 diabetes in large-scale meta-analysis for type 2
diabetes. In conclusion, we identified a novel metabolite locus in single
variant analyses and four genes within gene-based tests and confirmed two
previously known mGWAS loci which might be relevant for the risk of type 2
diabetes.
en
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Genetic variation
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit
dc.title
Genetic variants including markers from the exome chip and metabolite traits
of type 2 diabetes
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation
Scientific Reports. - 7 (2017), Artikel Nr. 6037
dcterms.bibliographicCitation.doi
10.1038/s41598-017-06158-3
dcterms.bibliographicCitation.url
http://www.nature.com/articles/s41598-017-06158-3
refubium.affiliation
Charité - Universitätsmedizin Berlin
de
refubium.mycore.fudocsId
FUDOCS_document_000000028163
refubium.note.author
Der Artikel wurde in einer reinen Open-Access-Zeitschrift publiziert.
refubium.resourceType.isindependentpub
no
refubium.mycore.derivateId
FUDOCS_derivate_000000008859
dcterms.accessRights.openaire
open access