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Gudmar Thorleifsson

Researcher at deCODE genetics

Publications -  250
Citations -  53089

Gudmar Thorleifsson is an academic researcher from deCODE genetics. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 102, co-authored 250 publications receiving 46523 citations. Previous affiliations of Gudmar Thorleifsson include Amgen & University of Iceland.

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Plasma HDL cholesterol and risk of myocardial infarction: A mendelian randomisation study

Benjamin F. Voight, +140 more
TL;DR: In this paper, a Mendelian randomisation analysis was performed to compare the effect of HDL cholesterol, LDL cholesterol, and genetic score on risk of myocardial infarction.
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Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

Benjamin F. Voight, +183 more
- 01 Jul 2010 - 
TL;DR: By combining genome-wide association data from 8,130 individuals with type 2 diabetes and 38,987 controls of European descent and following up previously unidentified meta-analysis signals, 12 new T2D association signals are identified with combined P < 5 × 10−8.
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Hundreds of variants clustered in genomic loci and biological pathways affect human height

Hana Lango Allen, +344 more
- 14 Oct 2010 - 
TL;DR: It is shown that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait, and indicates that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.
Journal Article

New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (vol 42, pg 105, 2010)

Josée Dupuis, +303 more
- 01 May 2010 - 

Hundreds of variants clustered in genomic loci and biological pathways affect human height

Hana Lango Allen, +289 more
TL;DR: In this paper, the authors show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait, revealing patterns with important implications for genetic studies of common human diseases and traits.