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Heikki A. Koistinen

Researcher at Minerva Foundation Institute for Medical Research

Publications -  112
Citations -  12425

Heikki A. Koistinen is an academic researcher from Minerva Foundation Institute for Medical Research. The author has contributed to research in topics: Insulin resistance & Genome-wide association study. The author has an hindex of 42, co-authored 100 publications receiving 9792 citations. Previous affiliations of Heikki A. Koistinen include National Institutes of Health & National Institute for Health and Welfare.

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Age-Related Clonal Hematopoiesis Associated with Adverse Outcomes

TL;DR: Age-related clonal hematopoiesis is a common condition that is associated with increases in the risk of hematologic cancer and in all-cause mortality, with the latter possibly due to an increased risk of cardiovascular disease.
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The genetic architecture of type 2 diabetes

Christian Fuchsberger, +349 more
- 11 Jul 2016 - 
TL;DR: In this paper, the authors performed whole-genome sequencing in 2,657 European individuals with and without diabetes, and exome sequencing for 12,940 individuals from five ancestry groups.

The genetic architecture of type 2 diabetes

Christian Fuchsberger, +300 more
TL;DR: Large-scale sequencing does not support the idea that lower-frequency variants have a major role in predisposition to type 2 diabetes, but most fell within regions previously identified by genome-wide association studies.
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An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans

Robert A. Scott, +216 more
- 01 Nov 2017 - 
TL;DR: This article conducted a meta-analysis of genome-wide association data from 26,676 T2D case and 132,532 control subjects of European ancestry after imputation using the 1000 Genomes multiethnic reference panel.
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The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study

Thomas W. Winkler, +438 more
- 01 Oct 2015 - 
TL;DR: In this paper, the authors performed meta-analyses of 114 studies with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium.