Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/39754
Title: Polygenic Epidemiology
Authors: Dudbridge, Frank
First Published: 7-Apr-2016
Publisher: Wiley for International Genetic Epidemiology Society (IGES)
Citation: Genet Epidemiol, 2016, 40 (4), pp. 268-272
Abstract: Much of the genetic basis of complex traits is present on current genotyping products, but the individual variants that affect the traits have largely not been identified. Several traditional problems in genetic epidemiology have recently been addressed by assuming a polygenic basis for disease and treating it as a single entity. Here I briefly review some of these applications, which collectively may be termed polygenic epidemiology. Methodologies in this area include polygenic scoring, linear mixed models, and linkage disequilibrium scoring. They have been used to establish a polygenic effect, estimate genetic correlation between traits, estimate how many variants affect a trait, stratify cases into subphenotypes, predict individual disease risks, and infer causal effects using Mendelian randomization. Polygenic epidemiology will continue to yield useful applications even while much of the specific variation underlying complex traits remains undiscovered.
DOI Link: 10.1002/gepi.21966
ISSN: 0741-0395
eISSN: 1098-2272
Links: http://onlinelibrary.wiley.com/doi/10.1002/gepi.21966/abstract
http://hdl.handle.net/2381/39754
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © the authors, 2016. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Appears in Collections:Published Articles, Dept. of Health Sciences

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