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Evaluating the contribution of rare variants to type 2 diabetes and related traits using pedigrees.

Authors :
Jun G
Manning A
Almeida M
Zawistowski M
Wood AR
Teslovich TM
Fuchsberger C
Feng S
Cingolani P
Gaulton KJ
Dyer T
Blackwell TW
Chen H
Chines PS
Choi S
Churchhouse C
Fontanillas P
King R
Lee S
Lincoln SE
Trubetskoy V
DePristo M
Fingerlin T
Grossman R
Grundstad J
Heath A
Kim J
Kim YJ
Laramie J
Lee J
Li H
Liu X
Livne O
Locke AE
Maller J
Mazur A
Morris AP
Pollin TI
Ragona D
Reich D
Rivas MA
Scott LJ
Sim X
Tearle RG
Teo YY
Williams AL
Zöllner S
Curran JE
Peralta J
Akolkar B
Bell GI
Burtt NP
Cox NJ
Florez JC
Hanis CL
McKeon C
Mohlke KL
Seielstad M
Wilson JG
Atzmon G
Below JE
Dupuis J
Nicolae DL
Lehman D
Park T
Won S
Sladek R
Altshuler D
McCarthy MI
Duggirala R
Boehnke M
Frayling TM
Abecasis GR
Blangero J
Source :
Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2018 Jan 09; Vol. 115 (2), pp. 379-384. Date of Electronic Publication: 2017 Dec 26.
Publication Year :
2018

Abstract

A major challenge in evaluating the contribution of rare variants to complex disease is identifying enough copies of the rare alleles to permit informative statistical analysis. To investigate the contribution of rare variants to the risk of type 2 diabetes (T2D) and related traits, we performed deep whole-genome analysis of 1,034 members of 20 large Mexican-American families with high prevalence of T2D. If rare variants of large effect accounted for much of the diabetes risk in these families, our experiment was powered to detect association. Using gene expression data on 21,677 transcripts for 643 pedigree members, we identified evidence for large-effect rare-variant cis -expression quantitative trait loci that could not be detected in population studies, validating our approach. However, we did not identify any rare variants of large effect associated with T2D, or the related traits of fasting glucose and insulin, suggesting that large-effect rare variants account for only a modest fraction of the genetic risk of these traits in this sample of families. Reliable identification of large-effect rare variants will require larger samples of extended pedigrees or different study designs that further enrich for such variants.<br />Competing Interests: Conflict of interest statement: S.E.L., J. Laramie, and R.G.T. were employees of Complete Genomics during this study. T.M.T. is an employee of Regeneron Pharmaceuticals. D.A. is an employee of Vertex Pharmaceuticals.

Details

Language :
English
ISSN :
1091-6490
Volume :
115
Issue :
2
Database :
MEDLINE
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
29279374
Full Text :
https://doi.org/10.1073/pnas.1705859115