Literature DB >> 22147662

Haploscope: a tool for the graphical display of haplotype structure in populations.

F Anthony San Lucas1, Noah A Rosenberg, Paul Scheet.   

Abstract

Patterns of linkage disequilibrium are often depicted pictorially by using tools that rely on visualizations of raw data or pairwise correlations among individual markers. Such approaches can fail to highlight some of the more interesting and complex features of haplotype structure. To enable natural visual comparisons of haplotype structure across subgroups of a population (e.g. isolated subpopulations or cases and controls), we propose an alternative visualization that provides a novel graphical representation of haplotype frequencies. We introduce Haploscope, a tool for visualizing the haplotype cluster frequencies that are produced by statistical models for population haplotype variation. We demonstrate the utility of our technique by examining haplotypes around the LCT gene, an example of recent positive selection, in samples from the Human Genome Diversity Panel. Haploscope, which has flexible options for annotation and inspection of haplotypes, is available for download at http://scheet.org/software.
© 2011 Wiley Periodicals, Inc.

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Year:  2011        PMID: 22147662      PMCID: PMC3725725          DOI: 10.1002/gepi.20640

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


  17 in total

1.  HapScope: a software system for automated and visual analysis of functionally annotated haplotypes.

Authors:  Jinghui Zhang; William L Rowe; Jeffery P Struewing; Kenneth H Buetow
Journal:  Nucleic Acids Res       Date:  2002-12-01       Impact factor: 16.971

2.  Genetic signatures of strong recent positive selection at the lactase gene.

Authors:  Todd Bersaglieri; Pardis C Sabeti; Nick Patterson; Trisha Vanderploeg; Steve F Schaffner; Jared A Drake; Matthew Rhodes; David E Reich; Joel N Hirschhorn
Journal:  Am J Hum Genet       Date:  2004-04-26       Impact factor: 11.025

3.  Haploview: analysis and visualization of LD and haplotype maps.

Authors:  J C Barrett; B Fry; J Maller; M J Daly
Journal:  Bioinformatics       Date:  2004-08-05       Impact factor: 6.937

4.  Efficient multilocus association testing for whole genome association studies using localized haplotype clustering.

Authors:  Brian L Browning; Sharon R Browning
Journal:  Genet Epidemiol       Date:  2007-07       Impact factor: 2.135

5.  A new multipoint method for genome-wide association studies by imputation of genotypes.

Authors:  Jonathan Marchini; Bryan Howie; Simon Myers; Gil McVean; Peter Donnelly
Journal:  Nat Genet       Date:  2007-06-17       Impact factor: 38.330

6.  A fast and flexible statistical model for large-scale population genotype data: applications to inferring missing genotypes and haplotypic phase.

Authors:  Paul Scheet; Matthew Stephens
Journal:  Am J Hum Genet       Date:  2006-02-17       Impact factor: 11.025

7.  A novel method for haplotype clustering and visualization.

Authors:  Yik Y Teo; Kerrin S Small
Journal:  Genet Epidemiol       Date:  2010-01       Impact factor: 2.135

8.  GEVALT: an integrated software tool for genotype analysis.

Authors:  Ofir Davidovich; Gad Kimmel; Ron Shamir
Journal:  BMC Bioinformatics       Date:  2007-02-01       Impact factor: 3.169

9.  Imputation-based analysis of association studies: candidate regions and quantitative traits.

Authors:  Bertrand Servin; Matthew Stephens
Journal:  PLoS Genet       Date:  2007-05-30       Impact factor: 5.917

10.  A map of recent positive selection in the human genome.

Authors:  Benjamin F Voight; Sridhar Kudaravalli; Xiaoquan Wen; Jonathan K Pritchard
Journal:  PLoS Biol       Date:  2006-03-07       Impact factor: 8.029

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  6 in total

1.  The Relationship Between Haplotype-Based F ST and Haplotype Length.

Authors:  Rohan S Mehta; Alison F Feder; Simina M Boca; Noah A Rosenberg
Journal:  Genetics       Date:  2019-07-08       Impact factor: 4.562

2.  On the heterozygosity of an admixed population.

Authors:  Simina M Boca; Lucy Huang; Noah A Rosenberg
Journal:  J Math Biol       Date:  2020-10-09       Impact factor: 2.259

3.  Network-based hierarchical population structure analysis for large genomic data sets.

Authors:  Gili Greenbaum; Amir Rubin; Alan R Templeton; Noah A Rosenberg
Journal:  Genome Res       Date:  2019-11-06       Impact factor: 9.043

4.  HAPPE: A Tool for Population Haplotype Analysis and Visualization in Editable Excel Tables.

Authors:  Cong Feng; Xingwei Wang; Shishi Wu; Weidong Ning; Bo Song; Jianbin Yan; Shifeng Cheng
Journal:  Front Plant Sci       Date:  2022-07-01       Impact factor: 6.627

5.  Genomic architecture of adaptive color pattern divergence and convergence in Heliconius butterflies.

Authors:  Megan A Supple; Heather M Hines; Kanchon K Dasmahapatra; James J Lewis; Dahlia M Nielsen; Christine Lavoie; David A Ray; Camilo Salazar; W Owen McMillan; Brian A Counterman
Journal:  Genome Res       Date:  2013-05-14       Impact factor: 9.043

6.  inPHAP: interactive visualization of genotype and phased haplotype data.

Authors:  Günter Jäger; Alexander Peltzer; Kay Nieselt
Journal:  BMC Bioinformatics       Date:  2014-07-10       Impact factor: 3.169

  6 in total

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