Literature DB >> 25705154

Short reads phasing to construct haplotypes in genomic regions that are associated with body mass index in korean individuals.

Kichan Lee1, Seonggyun Han1, Yeonjeong Tark1, Sangsoo Kim1.   

Abstract

Genome-wide association (GWA) studies have found many important genetic variants that affect various traits. Since these studies are useful to investigate untyped but causal variants using linkage disequilibrium (LD), it would be useful to explore the haplotypes of single-nucleotide polymorphisms (SNPs) within the same LD block of significant associations based on high-density variants from population references. Here, we tried to make a haplotype catalog affecting body mass index (BMI) through an integrative analysis of previously published whole-genome next-generation sequencing (NGS) data of 7 representative Korean individuals and previously known Korean GWA signals. We selected 435 SNPs that were significantly associated with BMI from the GWA analysis and searched 53 LD ranges nearby those SNPs. With the NGS data, the haplotypes were phased within the LDs. A total of 44 possible haplotype blocks for Korean BMI were cataloged. Although the current result constitutes little data, this study provides new insights that may help to identify important haplotypes for traits and low variants nearby significant SNPs. Furthermore, we can build a more comprehensive catalog as a larger dataset becomes available.

Entities:  

Keywords:  Korea; NGS; genome-wide association study; haplotypes; phasing; single-nucleotide polymorphism

Year:  2014        PMID: 25705154      PMCID: PMC4330250          DOI: 10.5808/GI.2014.12.4.165

Source DB:  PubMed          Journal:  Genomics Inform        ISSN: 1598-866X


  18 in total

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Journal:  Science       Date:  2002-05-23       Impact factor: 47.728

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

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Journal:  Nat Genet       Date:  2007-06-17       Impact factor: 38.330

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Journal:  Nat Genet       Date:  2011-07-03       Impact factor: 38.330

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Authors:  Darren A Cusanovich; Christine Billstrand; Xiang Zhou; Claudia Chavarria; Sherryl De Leon; Katelyn Michelini; Athma A Pai; Carole Ober; Yoav Gilad
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9.  TIARA genome database: update 2013.

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10.  Rapid speciation with gene flow following the formation of Mt. Etna.

Authors:  Owen G Osborne; Thomas E Batstone; Simon J Hiscock; Dmitry A Filatov
Journal:  Genome Biol Evol       Date:  2013       Impact factor: 3.416

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