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在韩国个体中,利用短读长定相来构建与体重指数相关的基因组区域单倍型。

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

作者信息

Lee Kichan, Han Seonggyun, Tark Yeonjeong, Kim Sangsoo

机构信息

Department of Bioinformatics and Life Science, Soongsil University, Seoul 156-743, Korea.

出版信息

Genomics Inform. 2014 Dec;12(4):165-70. doi: 10.5808/GI.2014.12.4.165. Epub 2014 Dec 31.

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.

摘要

全基因组关联(GWA)研究已经发现了许多影响各种性状的重要基因变异。由于这些研究有助于利用连锁不平衡(LD)来研究未分型但具有因果关系的变异,因此基于群体参考的高密度变异来探索显著关联的同一LD块内单核苷酸多态性(SNP)的单倍型将是很有用的。在这里,我们通过对7名具有代表性的韩国个体先前发表的全基因组下一代测序(NGS)数据和先前已知的韩国GWA信号进行综合分析,试图构建一个影响体重指数(BMI)的单倍型目录。我们从GWA分析中选择了435个与BMI显著相关的SNP,并在这些SNP附近搜索了53个LD范围。利用NGS数据,在LD内对单倍型进行了分型。共编目了44个韩国人BMI可能的单倍型块。虽然目前的结果数据量很少,但这项研究提供了新的见解,可能有助于识别性状的重要单倍型以及显著SNP附近的低频变异。此外,随着更大数据集的出现,我们可以构建一个更全面的目录。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26a9/4330250/bfce2efaaecb/gni-12-165-g001.jpg

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