Literature DB >> 22865662

Identifying plausible genetic models based on association and linkage results: application to type 2 diabetes.

Weihua Guan1, Michael Boehnke, Anna Pluzhnikov, Nancy J Cox, Laura J Scott.   

Abstract

When planning resequencing studies for complex diseases, previous association and linkage studies can constrain the range of plausible genetic models for a given locus. Here, we explore the combinations of causal risk allele frequency (RAFC ) and genotype relative risk (GRRC ) consistent with no or limited evidence for affected sibling pair (ASP) linkage and strong evidence for case-control association. We find that significant evidence for case-control association combined with no or moderate evidence for ASP linkage can define a lower bound for the plausible RAFC . Using data from large type 2 diabetes (T2D) linkage and genome-wide association study meta-analyses, we find that under reasonable model assumptions, 23 of 36 autosomal T2D risk loci are unlikely to be due to causal variants with combined RAFC < 0.005, and four of the 23 are unlikely to be due to causal variants with combined RAFC < 0.05.
© 2012 Wiley Periodicals, Inc.

Entities:  

Keywords:  complex diseases; gene mapping; genetic structure; genetics

Mesh:

Year:  2012        PMID: 22865662      PMCID: PMC3578091          DOI: 10.1002/gepi.21668

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  22 in total

Review 1.  The allelic architecture of human disease genes: common disease-common variant...or not?

Authors:  Jonathan K Pritchard; Nancy J Cox
Journal:  Hum Mol Genet       Date:  2002-10-01       Impact factor: 6.150

2.  Trend tests for case-control studies of genetic markers: power, sample size and robustness.

Authors:  B Freidlin; G Zheng; Z Li; J L Gastwirth
Journal:  Hum Hered       Date:  2002       Impact factor: 0.444

3.  Overcoming the winner's curse: estimating penetrance parameters from case-control data.

Authors:  Sebastian Zollner; Jonathan K Pritchard
Journal:  Am J Hum Genet       Date:  2007-02-16       Impact factor: 11.025

4.  Linkage strategies for genetically complex traits. II. The power of affected relative pairs.

Authors:  N Risch
Journal:  Am J Hum Genet       Date:  1990-02       Impact factor: 11.025

5.  Prediction of individual genetic risk to disease from genome-wide association studies.

Authors:  Naomi R Wray; Michael E Goddard; Peter M Visscher
Journal:  Genome Res       Date:  2007-09-04       Impact factor: 9.043

Review 6.  Linkage disequilibrium in humans: models and data.

Authors:  J K Pritchard; M Przeworski
Journal:  Am J Hum Genet       Date:  2001-06-14       Impact factor: 11.025

7.  The information contained in multiple sibling pairs.

Authors:  S E Hodge
Journal:  Genet Epidemiol       Date:  1984       Impact factor: 2.135

8.  On the allelic spectrum of human disease.

Authors:  D E Reich; E S Lander
Journal:  Trends Genet       Date:  2001-09       Impact factor: 11.639

9.  Meta-analysis of 23 type 2 diabetes linkage studies from the International Type 2 Diabetes Linkage Analysis Consortium.

Authors:  Weihua Guan; Anna Pluzhnikov; Nancy J Cox; Michael Boehnke
Journal:  Hum Hered       Date:  2007-01-28       Impact factor: 0.444

10.  Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes.

Authors:  Eleftheria Zeggini; Laura J Scott; Richa Saxena; Benjamin F Voight; Jonathan L Marchini; Tianle Hu; Paul I W de Bakker; Gonçalo R Abecasis; Peter Almgren; Gitte Andersen; Kristin Ardlie; Kristina Bengtsson Boström; Richard N Bergman; Lori L Bonnycastle; Knut Borch-Johnsen; Noël P Burtt; Hong Chen; Peter S Chines; Mark J Daly; Parimal Deodhar; Chia-Jen Ding; Alex S F Doney; William L Duren; Katherine S Elliott; Michael R Erdos; Timothy M Frayling; Rachel M Freathy; Lauren Gianniny; Harald Grallert; Niels Grarup; Christopher J Groves; Candace Guiducci; Torben Hansen; Christian Herder; Graham A Hitman; Thomas E Hughes; Bo Isomaa; Anne U Jackson; Torben Jørgensen; Augustine Kong; Kari Kubalanza; Finny G Kuruvilla; Johanna Kuusisto; Claudia Langenberg; Hana Lango; Torsten Lauritzen; Yun Li; Cecilia M Lindgren; Valeriya Lyssenko; Amanda F Marvelle; Christa Meisinger; Kristian Midthjell; Karen L Mohlke; Mario A Morken; Andrew D Morris; Narisu Narisu; Peter Nilsson; Katharine R Owen; Colin N A Palmer; Felicity Payne; John R B Perry; Elin Pettersen; Carl Platou; Inga Prokopenko; Lu Qi; Li Qin; Nigel W Rayner; Matthew Rees; Jeffrey J Roix; Anelli Sandbaek; Beverley Shields; Marketa Sjögren; Valgerdur Steinthorsdottir; Heather M Stringham; Amy J Swift; Gudmar Thorleifsson; Unnur Thorsteinsdottir; Nicholas J Timpson; Tiinamaija Tuomi; Jaakko Tuomilehto; Mark Walker; Richard M Watanabe; Michael N Weedon; Cristen J Willer; Thomas Illig; Kristian Hveem; Frank B Hu; Markku Laakso; Kari Stefansson; Oluf Pedersen; Nicholas J Wareham; Inês Barroso; Andrew T Hattersley; Francis S Collins; Leif Groop; Mark I McCarthy; Michael Boehnke; David Altshuler
Journal:  Nat Genet       Date:  2008-03-30       Impact factor: 38.330

View more
  3 in total

1.  Robust and Powerful Affected Sibpair Test for Rare Variant Association.

Authors:  Keng-Han Lin; Sebastian Zöllner
Journal:  Genet Epidemiol       Date:  2015-05-13       Impact factor: 2.135

Review 2.  What will diabetes genomes tell us?

Authors:  Karen L Mohlke; Laura J Scott
Journal:  Curr Diab Rep       Date:  2012-12       Impact factor: 4.810

3.  Evaluating empirical bounds on complex disease genetic architecture.

Authors:  Vineeta Agarwala; Jason Flannick; Shamil Sunyaev; David Altshuler
Journal:  Nat Genet       Date:  2013-10-20       Impact factor: 38.330

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.