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PMID: 24141362 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Evaluating empirical bounds on complex disease genetic architecture.

Nature genetics ·Vol. 45 ·No. 12 ·2013-12-00 ·Pages 1418-27

Agarwala V, Flannick J, Sunyaev S, GoT2D Consortium, Altshuler D

Abstract

The genetic architecture of human diseases governs the success of genetic mapping and the future of personalized medicine. Although numerous studies have queried the genetic basis of common disease, contradictory hypotheses have been advocated about features of genetic architecture (for example, the contribution of rare versus common variants). We developed an integrated simulation framework, calibrated to empirical data, to enable the systematic evaluation of such hypotheses. For type 2 diabetes (T2D), two simple parameters--(i) the target size for causal mutation and (ii) the coupling between selection and phenotypic effect--define a broad space of architectures. Whereas extreme models are excluded by the combination of epidemiology, linkage and genome-wide association studies, many models remain consistent, including those where rare variants explain either little (<25%) or most (>80%) of T2D heritability. Ongoing sequencing and genotyping studies will further constrain the space of possible architectures, but very large samples (for example, >250,000 unselected individuals) will be required to localize most of the heritability underlying T2D and other traits characterized by these models.

MeSH Terms
Computer Simulation Diabetes Mellitus, Type 2/genetics Disease/genetics Empirical Research Genetic Linkage Genetic Predisposition to Disease Genetic Variation Genome-Wide Association Study Humans Models, Genetic Multifactorial Inheritance
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Agarwala Vineeta
1] Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA. [2] Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA. [3] Program in Biophysics, Graduate School of Arts and Sciences, Harvard University, Cambridge, Massachusetts, USA. [4].
Flannick Jason
Sunyaev Shamil
GoT2D Consortium
Altshuler David
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Article Info
Journal
Nature genetics
Abbr.
Nat Genet
ISSN
1546-1718
Published
2013-12-00
Epub
2013-00-20
Pages
1418-27
Language
English
Region
United States
NLM ID
9216904
PMCID
PMC4158716
Subset
IM
Grants
NIGMS NIH HHS · R01 GM078598 · United States
NIMH NIH HHS · R01MH084676 · United States
NIGMS NIH HHS · T32 GM007753 · United States
NIGMS NIH HHS · T32GM007748-33 · United States
NIGMS NIH HHS · T32 GM008313 · United States
NIGMS NIH HHS · R01GM078598 · United States
NIGMS NIH HHS · T32 GM007748 · United States
NIDDK NIH HHS · 1RC2DK088389-01 · United States
NIDDK NIH HHS · RC2 DK088389 · United States
NIGMS NIH HHS · T32GM008313 · United States
NIGMS NIH HHS · T32GM007753 · United States
NIMH NIH HHS · R01 MH084676 · United States
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