Literature DB >> 19924718

Haplotype-based analysis: a summary of GAW16 Group 4 analysis.

Elizabeth Hauser1, Nadine Cremer, Rebecca Hein, Harshal Deshmukh.   

Abstract

In this summary article, we describe the contributions included in the haplotype-based analysis group (Group 4) at the Genetic Analysis Workshop 16, which was held in September 17-20, 2008. Our group applied a large number of haplotype-based methods in the context of genome-wide association studies. Two general approaches were applied: a two-stage approach that selected significant single-nucleotide polymorphisms (SNPs) in the first stage and then created haplotypes in the second stage and genome-wide analysis of smaller sets of SNPs selected by sliding windows or estimating haplotype blocks. Genome-wide haplotype analyses performed in these ways were feasible. The presence of the very strong chromosome 6 association in the North American Rheumatoid Arthritis Consortium data was detected by every method, and additional analyses attempted to control for this strong result to allow detection of additional haplotype associations. (c) 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19924718      PMCID: PMC2916652          DOI: 10.1002/gepi.20468

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


  24 in total

1.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

Review 2.  Haplotype-association analysis.

Authors:  Nianjun Liu; Kui Zhang; Hongyu Zhao
Journal:  Adv Genet       Date:  2008       Impact factor: 1.944

3.  Potential etiologic and functional implications of genome-wide association loci for human diseases and traits.

Authors:  Lucia A Hindorff; Praveen Sethupathy; Heather A Junkins; Erin M Ramos; Jayashri P Mehta; Francis S Collins; Teri A Manolio
Journal:  Proc Natl Acad Sci U S A       Date:  2009-05-27       Impact factor: 11.205

4.  The genetic structure and history of Africans and African Americans.

Authors:  Sarah A Tishkoff; Floyd A Reed; Françoise R Friedlaender; Christopher Ehret; Alessia Ranciaro; Alain Froment; Jibril B Hirbo; Agnes A Awomoyi; Jean-Marie Bodo; Ogobara Doumbo; Muntaser Ibrahim; Abdalla T Juma; Maritha J Kotze; Godfrey Lema; Jason H Moore; Holly Mortensen; Thomas B Nyambo; Sabah A Omar; Kweli Powell; Gideon S Pretorius; Michael W Smith; Mahamadou A Thera; Charles Wambebe; James L Weber; Scott M Williams
Journal:  Science       Date:  2009-04-30       Impact factor: 47.728

5.  Genetic effects in the leukotriene biosynthesis pathway and association with atherosclerosis.

Authors:  David R Crosslin; Svati H Shah; Sarah C Nelson; Carol S Haynes; Jessica J Connelly; Shera Gadson; Pascal J Goldschmidt-Clermont; Jeffery M Vance; Jason Rose; Chris B Granger; David Seo; Simon G Gregory; William E Kraus; Elizabeth R Hauser
Journal:  Hum Genet       Date:  2009-01-08       Impact factor: 4.132

Review 6.  Molecular mechanisms of HLA association with autoimmune diseases.

Authors:  S Caillat-Zucman
Journal:  Tissue Antigens       Date:  2008-11-10

7.  Haplotype association analysis of North American Rheumatoid Arthritis Consortium data using a generalized linear model with regularization.

Authors:  Wei Guo; Chin-Yuan Liang; Shili Lin
Journal:  BMC Proc       Date:  2009-12-15

8.  Conditional analysis of the major histocompatibility complex in rheumatoid arthritis.

Authors:  Kimberly E Taylor; Lindsey A Criswell
Journal:  BMC Proc       Date:  2009-12-15

9.  Designing genome-wide association studies: sample size, power, imputation, and the choice of genotyping chip.

Authors:  Chris C A Spencer; Zhan Su; Peter Donnelly; Jonathan Marchini
Journal:  PLoS Genet       Date:  2009-05-15       Impact factor: 5.917

10.  On the association between rheumatoid arthritis and classical HLA class I and class II alleles predicted from single-nucleotide polymorphism data.

Authors:  Mathieu Lemire
Journal:  BMC Proc       Date:  2009-12-15
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  4 in total

1.  Gene- or region-based association study via kernel principal component analysis.

Authors:  Qingsong Gao; Yungang He; Zhongshang Yuan; Jinghua Zhao; Bingbing Zhang; Fuzhong Xue
Journal:  BMC Genet       Date:  2011-08-26       Impact factor: 2.797

2.  Genome-wide association studies for discrete traits.

Authors:  Duncan C Thomas
Journal:  Genet Epidemiol       Date:  2009       Impact factor: 2.135

Review 3.  Benefits and limitations of genome-wide association studies.

Authors:  Vivian Tam; Nikunj Patel; Michelle Turcotte; Yohan Bossé; Guillaume Paré; David Meyre
Journal:  Nat Rev Genet       Date:  2019-08       Impact factor: 53.242

4.  Rule-based induction method for haplotype comparison and identification of candidate disease loci.

Authors:  Sirkku Karinen; Silva Saarinen; Rainer Lehtonen; Pasi Rastas; Pia Vahteristo; Lauri A Aaltonen; Sampsa Hautaniemi
Journal:  Genome Med       Date:  2012-03-19       Impact factor: 11.117

  4 in total

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