Literature DB >> 15637716

Characterization of multilocus linkage disequilibrium.

Alessandro Rinaldo1, Silviu-Alin Bacanu, B Devlin, Vibhor Sonpar, Larry Wasserman, Kathryn Roeder.   

Abstract

Linkage disequilibrium (LD) in the human genome, often measured as pairwise correlation between adjacent markers, shows substantial spatial heterogeneity. Congruent with these results, studies have found that certain regions of the genome have far less haplotype diversity than expected if the alleles at multiple markers were independent, while other sets of adjacent markers behave almost independently. Regions with limited haplotype diversity have been described as "blocked" or "haplotype blocks." In this article, we propose a new method that aims to distinguish between blocked and unblocked regions in the genome. Like some other approaches, the method analyses haplotype diversity. Unlike other methods, it allows for adjacent, distinct blocks and also multiple, independent single nucleotide polymorphisms (SNPs) separating blocks. Based on an approximate likelihood model and a parsimony criterion to penalize for model complexity, the method partitions a genomic region into blocks relatively quickly, and simulations suggest that its partitions are accurate. We also propose a new, efficient method to select SNPs for association analysis, namely tag SNPs. These methods compare favorably to similar blocking and tagging methods using simulations. (c) 2005 Wiley-Liss, Inc.

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Year:  2005        PMID: 15637716     DOI: 10.1002/gepi.20056

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


  53 in total

1.  Simultaneous analysis of multiple data types in pharmacogenomic studies using weighted sparse canonical correlation analysis.

Authors:  Prabhakar Chalise; Anthony Batzler; Ryan Abo; Liewei Wang; Brooke L Fridley
Journal:  OMICS       Date:  2012-06-26

2.  Using ancestry matching to combine family-based and unrelated samples for genome-wide association studies.

Authors:  Andrew Crossett; Brian P Kent; Lambertus Klei; Steven Ringquist; Massimo Trucco; Kathryn Roeder; Bernie Devlin
Journal:  Stat Med       Date:  2010-12-10       Impact factor: 2.373

3.  Multilocus LD measure and tagging SNP selection with generalized mutual information.

Authors:  Zhenqiu Liu; Shili Lin
Journal:  Genet Epidemiol       Date:  2005-12       Impact factor: 2.135

4.  Regression-based association analysis with clustered haplotypes through use of genotypes.

Authors:  Jung-Ying Tzeng; Chih-Hao Wang; Jau-Tsuen Kao; Chuhsing Kate Hsiao
Journal:  Am J Hum Genet       Date:  2005-12-19       Impact factor: 11.025

5.  Susceptibility genes for age-related maculopathy on chromosome 10q26.

Authors:  Johanna Jakobsdottir; Yvette P Conley; Daniel E Weeks; Tammy S Mah; Robert E Ferrell; Michael B Gorin
Journal:  Am J Hum Genet       Date:  2005-07-26       Impact factor: 11.025

6.  Using linkage genome scans to improve power of association in genome scans.

Authors:  Kathryn Roeder; Silvi-Alin Bacanu; Larry Wasserman; B Devlin
Journal:  Am J Hum Genet       Date:  2006-01-03       Impact factor: 11.025

7.  Comprehensive analysis of APOE and selected proximate markers for late-onset Alzheimer's disease: patterns of linkage disequilibrium and disease/marker association.

Authors:  Chang-En Yu; Howard Seltman; Elaine R Peskind; Nichole Galloway; Peter X Zhou; Elisabeth Rosenthal; Ellen M Wijsman; Debby W Tsuang; Bernie Devlin; Gerard D Schellenberg
Journal:  Genomics       Date:  2007-04-16       Impact factor: 5.736

8.  No association of psychosis in Alzheimer disease with neurodegenerative pathway genes.

Authors:  Mary Ann A DeMichele-Sweet; Lambertus Klei; Bernie Devlin; Robert E Ferrell; Elise A Weamer; James E Emanuel; Oscar L Lopez; Robert A Sweet
Journal:  Neurobiol Aging       Date:  2010-11-18       Impact factor: 4.673

9.  Association mapping with single-feature polymorphisms.

Authors:  Sung Kim; Keyan Zhao; Rong Jiang; John Molitor; Justin O Borevitz; Magnus Nordborg; Paul Marjoram
Journal:  Genetics       Date:  2006-03-01       Impact factor: 4.562

10.  Screen and clean: a tool for identifying interactions in genome-wide association studies.

Authors:  Jing Wu; Bernie Devlin; Steven Ringquist; Massimo Trucco; Kathryn Roeder
Journal:  Genet Epidemiol       Date:  2010-04       Impact factor: 2.135

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