Literature DB >> 19197947

VALID: visualization of association study results and linkage disequilibrium.

Eric Jorgenson1, Mark Kvale, John S Witte.   

Abstract

Promising findings from genetic association studies are commonly presented with two distinct figures: one gives the association study results and the other indicates linkage disequilibrium (LD) between genetic markers in the region(s) of interest. Fully interpreting the results of such studies requires synthesizing the information in these figures, which is generally done in a subjective and unsystematic manner. Here we present a method to formally combine association results and LD and display them in the same figure; we have developed a freely available web-based application that can be used to generate figures to display the combined data. To demonstrate this approach we apply it to fine mapping data from the prostate cancer 8q24 loci. Combining these two sources of information in a single figure allows one to more clearly assess patterns of association, facilitating the interpretation of genome-wide and fine mapping data and improving our ability to localize causal variants.

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Mesh:

Year:  2009        PMID: 19197947      PMCID: PMC3258024          DOI: 10.1002/gepi.20411

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


  14 in total

1.  An utter refutation of the "Fundamental Theorem of the HapMap" by Terwilliger and Hiekkalinna.

Authors:  Duncan C Thomas; Daniel O Stram
Journal:  Eur J Hum Genet       Date:  2006-08-02       Impact factor: 4.246

2.  An utter refutation of the "fundamental theorem of the HapMap".

Authors:  Joseph D Terwilliger; Tero Hiekkalinna
Journal:  Eur J Hum Genet       Date:  2006-04       Impact factor: 4.246

3.  Collapsing SNP genotypes in case-control genome-wide association studies increases the type I error rate and power.

Authors:  Abigail G Matthews; Chad Haynes; Chang Liu; Jurg Ott
Journal:  Stat Appl Genet Mol Biol       Date:  2008-07-25

4.  A comparison of linkage disequilibrium measures for fine-scale mapping.

Authors:  B Devlin; N Risch
Journal:  Genomics       Date:  1995-09-20       Impact factor: 5.736

5.  From genotypes to genes: doubling the sample size.

Authors:  P D Sasieni
Journal:  Biometrics       Date:  1997-12       Impact factor: 2.571

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.  Genome-wide association study of prostate cancer identifies a second risk locus at 8q24.

Authors:  Meredith Yeager; Nick Orr; Richard B Hayes; Kevin B Jacobs; Peter Kraft; Sholom Wacholder; Mark J Minichiello; Paul Fearnhead; Kai Yu; Nilanjan Chatterjee; Zhaoming Wang; Robert Welch; Brian J Staats; Eugenia E Calle; Heather Spencer Feigelson; Michael J Thun; Carmen Rodriguez; Demetrius Albanes; Jarmo Virtamo; Stephanie Weinstein; Fredrick R Schumacher; Edward Giovannucci; Walter C Willett; Geraldine Cancel-Tassin; Olivier Cussenot; Antoine Valeri; Gerald L Andriole; Edward P Gelmann; Margaret Tucker; Daniela S Gerhard; Joseph F Fraumeni; Robert Hoover; David J Hunter; Stephen J Chanock; Gilles Thomas
Journal:  Nat Genet       Date:  2007-04-01       Impact factor: 38.330

8.  A common allele on chromosome 9 associated with coronary heart disease.

Authors:  Ruth McPherson; Alexander Pertsemlidis; Nihan Kavaslar; Alexandre Stewart; Robert Roberts; David R Cox; David A Hinds; Len A Pennacchio; Anne Tybjaerg-Hansen; Aaron R Folsom; Eric Boerwinkle; Helen H Hobbs; Jonathan C Cohen
Journal:  Science       Date:  2007-05-03       Impact factor: 47.728

9.  Genome-wide association study of restless legs syndrome identifies common variants in three genomic regions.

Authors:  Juliane Winkelmann; Barbara Schormair; Peter Lichtner; Stephan Ripke; Lan Xiong; Shapour Jalilzadeh; Stephany Fulda; Benno Pütz; Gertrud Eckstein; Stephanie Hauk; Claudia Trenkwalder; Alexander Zimprich; Karin Stiasny-Kolster; Wolfgang Oertel; Cornelius G Bachmann; Walter Paulus; Ines Peglau; Ilonka Eisensehr; Jacques Montplaisir; Gustavo Turecki; Guy Rouleau; Christian Gieger; Thomas Illig; H-Erich Wichmann; Florian Holsboer; Bertram Müller-Myhsok; Thomas Meitinger
Journal:  Nat Genet       Date:  2007-07-18       Impact factor: 38.330

10.  A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants.

Authors:  Laura J Scott; Karen L Mohlke; Lori L Bonnycastle; Cristen J Willer; Yun Li; William L Duren; Michael R Erdos; Heather M Stringham; Peter S Chines; Anne U Jackson; Ludmila Prokunina-Olsson; Chia-Jen Ding; Amy J Swift; Narisu Narisu; Tianle Hu; Randall Pruim; Rui Xiao; Xiao-Yi Li; Karen N Conneely; Nancy L Riebow; Andrew G Sprau; Maurine Tong; Peggy P White; Kurt N Hetrick; Michael W Barnhart; Craig W Bark; Janet L Goldstein; Lee Watkins; Fang Xiang; Jouko Saramies; Thomas A Buchanan; Richard M Watanabe; Timo T Valle; Leena Kinnunen; Gonçalo R Abecasis; Elizabeth W Pugh; Kimberly F Doheny; Richard N Bergman; Jaakko Tuomilehto; Francis S Collins; Michael Boehnke
Journal:  Science       Date:  2007-04-26       Impact factor: 47.728

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  1 in total

1.  LocusZoom: regional visualization of genome-wide association scan results.

Authors:  Randall J Pruim; Ryan P Welch; Serena Sanna; Tanya M Teslovich; Peter S Chines; Terry P Gliedt; Michael Boehnke; Gonçalo R Abecasis; Cristen J Willer
Journal:  Bioinformatics       Date:  2010-07-15       Impact factor: 6.937

  1 in total

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