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Matthias Munz

Researcher at University of Lübeck

Publications -  39
Citations -  1266

Matthias Munz is an academic researcher from University of Lübeck. The author has contributed to research in topics: Genome-wide association study & Single-nucleotide polymorphism. The author has an hindex of 12, co-authored 37 publications receiving 774 citations. Previous affiliations of Matthias Munz include Humboldt University of Berlin & Braunschweig University of Technology.

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Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases A Mendelian Randomization Study

Philip C Haycock, +197 more
- 01 May 2017 - 
TL;DR: It is likely that longer telomeres increase risk for several cancers but reduce risk for some non-neoplastic diseases, including cardiovascular diseases, as well as single nucleotide polymorphisms (SNPs) that are strongly associated with telomere length in the general population.
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Genome-wide association study of biologically informed periodontal complex traits offers novel insights into the genetic basis of periodontal disease

TL;DR: Although not associated with current clinically determined periodontal disease taxonomies, upon replication and mechanistic validation these candidate loci may highlight dysbiotic microbial community structures and altered inflammatory/immune responses underlying biological sub-types of CP.
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A saturated map of common genetic variants associated with human height

Loic Yengo, +617 more
- 10 Jan 2022 - 
TL;DR: In this article , the authors show that common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40-50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes.
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Associations of autozygosity with a broad range of human phenotypes

David W. Clark, +496 more
TL;DR: In this paper, the authors used genomic inbreeding coefficients (FROH) for >1.4 million individuals and found that FROH is significantly associated with apparently deleterious changes in 32 out of 100 traits analysed.