Literature DB >> 21216773

A method for identifying haplotypes carrying the causative allele in positive natural selection and genome-wide association studies.

Rick Twee-Hee Ong1, Xuanyao Liu, Wan-Ting Poh, Xueling Sim, Kee-Seng Chia, Yik-Ying Teo.   

Abstract

MOTIVATION: Methods for detecting positive selection relied on finding evidence of long haplotypes to identify candidate regions under selection. However, these methods generally do not identify the length and form of the selected haplotype.
RESULTS: We present HapFinder, a method which can find the common longest haplotype under three different settings from a database, which is relevant in the analysis of positive selection in population genetics and also in medical genetics for finding the likely haplotype form carrying the causal allele at the functional polymorphism. AVAILABILITY: A java program, implementing the methods described in HapFinder, together with R scripts and datasets for producing the figures presented in this article are publicly available at http://www.nus-cme.org.sg/sgvp/software/hapfinder.html. The site also hosts an online browser for finding haplotypes from the International HapMap Project and the Singapore Genome Variation Project.

Mesh:

Year:  2011        PMID: 21216773     DOI: 10.1093/bioinformatics/btr007

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  4 in total

1.  The DAU cluster: a comparative analysis of 18 RHD alleles, some forming partial D antigens.

Authors:  Kshitij Srivastava; Helene Polin; Sherry Lynne Sheldon; Franz Friedrich Wagner; Christoph Grabmer; Christian Gabriel; Gregory Andrew Denomme; Willy Albert Flegel
Journal:  Transfusion       Date:  2016-08-02       Impact factor: 3.157

2.  Detecting and characterizing genomic signatures of positive selection in global populations.

Authors:  Xuanyao Liu; Rick Twee-Hee Ong; Esakimuthu Nisha Pillai; Abier M Elzein; Kerrin S Small; Taane G Clark; Dominic P Kwiatkowski; Yik-Ying Teo
Journal:  Am J Hum Genet       Date:  2013-05-23       Impact factor: 11.025

3.  Novel genomic signals of recent selection in an Ethiopian population.

Authors:  Fasil Tekola-Ayele; Adebowale Adeyemo; Guanjie Chen; Elena Hailu; Abraham Aseffa; Gail Davey; Melanie J Newport; Charles N Rotimi
Journal:  Eur J Hum Genet       Date:  2014-11-05       Impact factor: 4.246

4.  Evaluating the possibility of detecting evidence of positive selection across Asia with sparse genotype data from the HUGO Pan-Asian SNP Consortium.

Authors:  Xuanyao Liu; Woei-Yuh Saw; Mohammad Ali; Rick Twee-Hee Ong; Yik-Ying Teo
Journal:  BMC Genomics       Date:  2014-05-02       Impact factor: 3.969

  4 in total

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