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Paul R. H. J. Timmers

Researcher at University of Edinburgh

Publications -  45
Citations -  2046

Paul R. H. J. Timmers is an academic researcher from University of Edinburgh. The author has contributed to research in topics: Genome-wide association study & Medicine. The author has an hindex of 12, co-authored 31 publications receiving 995 citations. Previous affiliations of Paul R. H. J. Timmers include University of Bristol & Western General Hospital.

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Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences

Richard Karlsson Linnér, +115 more
- 14 Jan 2019 - 
TL;DR: This paper found evidence of substantial shared genetic influences across risk tolerance and the risky behaviors: 46 of the 99 general risk tolerance loci contain a lead SNP for at least one of their other GWAS, and general risk-tolerance is genetically correlated with a range of risky behaviors.
Journal ArticleDOI

The trans-ancestral genomic architecture of glycemic traits

Ji Chen, +478 more
- 31 May 2021 - 
TL;DR: This paper aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available.

Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences

Richard Karlsson Linnér, +387 more
TL;DR: A genetic study identifies hundreds of loci associated with risk tolerance and risky behaviors, finds evidence of substantial shared genetic influences across these phenotypes, and implicates genes involved in neurotransmission.
Posted ContentDOI

The Trans-Ancestral Genomic Architecture of Glycaemic Traits

Ji Chen, +478 more
- 25 Jul 2020 - 
TL;DR: Genomic feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways, increasing understanding of diabetes pathophysiology by use of trans-ancestry studies for improved power and resolution.
Journal ArticleDOI

Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances

TL;DR: Timmer et al. as mentioned in this paper used the DNA of over 500,000 people to reveal the specific "genetic fingerprints" of each participant, and then used this information to predict, based on their DNA, whether someone had a better or worse chance of living longer than average.