Literature DB >> 29279374

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

Goo Jun1,2,3, Alisa Manning4, Marcio Almeida5, Matthew Zawistowski6,2, Andrew R Wood7, Tanya M Teslovich6,2,8, Christian Fuchsberger6,2,9, Shuang Feng6,2, Pablo Cingolani10, Kyle J Gaulton11, Thomas Dyer5, Thomas W Blackwell6,2, Han Chen3,12,13, Peter S Chines14, Sungkyoung Choi15, Claire Churchhouse4, Pierre Fontanillas4, Ryan King16, SungYoung Lee17, Stephen E Lincoln18,19, Vasily Trubetskoy16, Mark DePristo4, Tasha Fingerlin20, Robert Grossman16, Jason Grundstad16, Alison Heath16, Jayoun Kim21, Young Jin Kim17,22, Jason Laramie18, Jaehoon Lee21, Heng Li4, Xuanyao Liu23, Oren Livne16, Adam E Locke6,2, Julian Maller24, Alexander Mazur10, Andrew P Morris11,25, Toni I Pollin26,27,28, Derek Ragona16, David Reich29, Manuel A Rivas11, Laura J Scott6,2, Xueling Sim6,2,23, Rick G Tearle18, Yik Ying Teo23,30,31, Amy L Williams4, Sebastian Zöllner6,2, Joanne E Curran5, Juan Peralta5, Beena Akolkar32, Graeme I Bell33,34, Noël P Burtt4, Nancy J Cox16,35, Jose C Florez4,36,37,38, Craig L Hanis3, Catherine McKeon32, Karen L Mohlke39, Mark Seielstad40,41,42, James G Wilson43, Gil Atzmon44,45,46, Jennifer E Below35, Josée Dupuis12,47, Dan L Nicolae16, Donna Lehman48, Taesung Park21, Sungho Won49, Robert Sladek10,50,51, David Altshuler4,7,37,52,53, Mark I McCarthy11,54,55, Ravindranath Duggirala5, Michael Boehnke6,2, Timothy M Frayling7, Gonçalo R Abecasis6,2, John Blangero5.   

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.

Entities:  

Keywords:  eQTL; genetics; rare variants; sequencing; type 2 diabetes

Mesh:

Year:  2017        PMID: 29279374      PMCID: PMC5777025          DOI: 10.1073/pnas.1705859115

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  28 in total

Review 1.  Genetics of atherosclerosis risk factors in Mexican Americans.

Authors:  J W MacCluer; M P Stern; L Almasy; L A Atwood; J Blangero; A G Comuzzie; B Dyke; S M Haffner; R D Henkel; J E Hixson; C M Kammerer; M C Mahaney; B D Mitchell; D L Rainwater; P B Samollow; R M Sharp; J L VandeBerg; J T Williams
Journal:  Nutr Rev       Date:  1999-05       Impact factor: 7.110

2.  Clan genomics and the complex architecture of human disease.

Authors:  James R Lupski; John W Belmont; Eric Boerwinkle; Richard A Gibbs
Journal:  Cell       Date:  2011-09-30       Impact factor: 41.582

3.  MutationTaster evaluates disease-causing potential of sequence alterations.

Authors:  Jana Marie Schwarz; Christian Rödelsperger; Markus Schuelke; Dominik Seelow
Journal:  Nat Methods       Date:  2010-08       Impact factor: 28.547

4.  Genetic heterogeneity in human disease.

Authors:  Jon McClellan; Mary-Claire King
Journal:  Cell       Date:  2010-04-16       Impact factor: 41.582

5.  Personal genomes: The case of the missing heritability.

Authors:  Brendan Maher
Journal:  Nature       Date:  2008-11-06       Impact factor: 49.962

6.  Identification of deleterious mutations within three human genomes.

Authors:  Sung Chun; Justin C Fay
Journal:  Genome Res       Date:  2009-07-14       Impact factor: 9.043

7.  Genetic and environmental contributions to cardiovascular risk factors in Mexican Americans. The San Antonio Family Heart Study.

Authors:  B D Mitchell; C M Kammerer; J Blangero; M C Mahaney; D L Rainwater; B Dyke; J E Hixson; R D Henkel; R M Sharp; A G Comuzzie; J L VandeBerg; M P Stern; J W MacCluer
Journal:  Circulation       Date:  1996-11-01       Impact factor: 29.690

Review 8.  Recent advances in understanding the genetic architecture of type 2 diabetes.

Authors:  Karen L Mohlke; Michael Boehnke
Journal:  Hum Mol Genet       Date:  2015-07-09       Impact factor: 6.150

9.  A global reference for human genetic variation.

Authors:  Adam Auton; Lisa D Brooks; Richard M Durbin; Erik P Garrison; Hyun Min Kang; Jan O Korbel; Jonathan L Marchini; Shane McCarthy; Gil A McVean; Gonçalo R Abecasis
Journal:  Nature       Date:  2015-10-01       Impact factor: 49.962

10.  Genome sequencing elucidates Sardinian genetic architecture and augments association analyses for lipid and blood inflammatory markers.

Authors:  Carlo Sidore; Fabio Busonero; Andrea Maschio; Eleonora Porcu; Silvia Naitza; Magdalena Zoledziewska; Antonella Mulas; Giorgio Pistis; Maristella Steri; Fabrice Danjou; Alan Kwong; Vicente Diego Ortega Del Vecchyo; Charleston W K Chiang; Jennifer Bragg-Gresham; Maristella Pitzalis; Ramaiah Nagaraja; Brendan Tarrier; Christine Brennan; Sergio Uzzau; Christian Fuchsberger; Rossano Atzeni; Frederic Reinier; Riccardo Berutti; Jie Huang; Nicholas J Timpson; Daniela Toniolo; Paolo Gasparini; Giovanni Malerba; George Dedoussis; Eleftheria Zeggini; Nicole Soranzo; Chris Jones; Robert Lyons; Andrea Angius; Hyun M Kang; John Novembre; Serena Sanna; David Schlessinger; Francesco Cucca; Gonçalo R Abecasis
Journal:  Nat Genet       Date:  2015-09-14       Impact factor: 38.330

View more
  17 in total

1.  Common Variant Burden Contributes to the Familial Aggregation of Migraine in 1,589 Families.

Authors:  Padhraig Gormley; Mitja I Kurki; Marjo Eveliina Hiekkala; Kumar Veerapen; Paavo Häppölä; Adele A Mitchell; Dennis Lal; Priit Palta; Ida Surakka; Mari Anneli Kaunisto; Eija Hämäläinen; Salli Vepsäläinen; Hannele Havanka; Hanna Harno; Matti Ilmavirta; Markku Nissilä; Erkki Säkö; Marja-Liisa Sumelahti; Jarmo Liukkonen; Matti Sillanpää; Liisa Metsähonkala; Seppo Koskinen; Terho Lehtimäki; Olli Raitakari; Minna Männikkö; Caroline Ran; Andrea Carmine Belin; Pekka Jousilahti; Verneri Anttila; Veikko Salomaa; Ville Artto; Markus Färkkilä; Heiko Runz; Mark J Daly; Benjamin M Neale; Samuli Ripatti; Mikko Kallela; Maija Wessman; Aarno Palotie
Journal:  Neuron       Date:  2018-05-03       Impact factor: 17.173

Review 2.  Missing heritability of complex diseases: case solved?

Authors:  Emmanuelle Génin
Journal:  Hum Genet       Date:  2019-06-04       Impact factor: 4.132

3.  The contribution of rare genetic variants to the pathogenesis of polycystic ovary syndrome.

Authors:  Matthew Dapas; Andrea Dunaif
Journal:  Curr Opin Endocr Metab Res       Date:  2020-04-03

4.  Deviation from baseline mutation burden provides powerful and robust rare-variants association test for complex diseases.

Authors:  Lin Jiang; Hui Jiang; Sheng Dai; Ying Chen; Youqiang Song; Clara Sze-Man Tang; Shirley Yin-Yu Pang; Shu-Leong Ho; Binbin Wang; Maria-Mercedes Garcia-Barcelo; Paul Kwong-Hang Tam; Stacey S Cherny; Mulin Jun Li; Pak Chung Sham; Miaoxin Li
Journal:  Nucleic Acids Res       Date:  2022-04-08       Impact factor: 16.971

5.  The High-Throughput Analyses Era: Are We Ready for the Data Struggle?

Authors:  Valeria D'Argenio
Journal:  High Throughput       Date:  2018-03-02

6.  Using whole genome scores to compare three clinical phenotyping methods in complex diseases.

Authors:  Wenyu Song; Hailiang Huang; Cheng-Zhong Zhang; David W Bates; Adam Wright
Journal:  Sci Rep       Date:  2018-07-27       Impact factor: 4.379

Review 7.  High-Throughput Approaches onto Uncover (Epi)Genomic Architecture of Type 2 Diabetes.

Authors:  Anna Dziewulska; Aneta M Dobosz; Agnieszka Dobrzyn
Journal:  Genes (Basel)       Date:  2018-07-26       Impact factor: 4.096

Review 8.  The Contribution of Low-Frequency and Rare Coding Variation to Susceptibility to Type 2 Diabetes.

Authors:  Jason Flannick
Journal:  Curr Diab Rep       Date:  2019-04-08       Impact factor: 4.810

9.  Deleterious Mutation Burden and Its Association with Complex Traits in Sorghum (Sorghum bicolor).

Authors:  Ravi Valluru; Elodie E Gazave; Samuel B Fernandes; John N Ferguson; Roberto Lozano; Pradeep Hirannaiah; Tao Zuo; Patrick J Brown; Andrew D B Leakey; Michael A Gore; Edward S Buckler; Nonoy Bandillo
Journal:  Genetics       Date:  2019-01-08       Impact factor: 4.562

10.  Leveraging linkage evidence to identify low-frequency and rare variants on 16p13 associated with blood pressure using TOPMed whole genome sequencing data.

Authors:  Karen Y He; Xiaoyin Li; Tanika N Kelly; Jingjing Liang; Brian E Cade; Themistocles L Assimes; Lewis C Becker; Amber L Beitelshees; Adam P Bress; Yen-Pei Christy Chang; Yii-Der Ida Chen; Paul S de Vries; Ervin R Fox; Nora Franceschini; Anna Furniss; Yan Gao; Xiuqing Guo; Jeffrey Haessler; Shih-Jen Hwang; Marguerite Ryan Irvin; Rita R Kalyani; Ching-Ti Liu; Chunyu Liu; Lisa Warsinger Martin; May E Montasser; Paul M Muntner; Stanford Mwasongwe; Walter Palmas; Alex P Reiner; Daichi Shimbo; Jennifer A Smith; Beverly M Snively; Lisa R Yanek; Eric Boerwinkle; Adolfo Correa; L Adrienne Cupples; Jiang He; Sharon L R Kardia; Charles Kooperberg; Rasika A Mathias; Braxton D Mitchell; Bruce M Psaty; Ramachandran S Vasan; D C Rao; Stephen S Rich; Jerome I Rotter; James G Wilson; Aravinda Chakravarti; Alanna C Morrison; Daniel Levy; Donna K Arnett; Susan Redline; Xiaofeng Zhu
Journal:  Hum Genet       Date:  2019-01-22       Impact factor: 4.132

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.