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Retrieving y chromosomal haplogroup trees using GWAS data

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机构: [a]State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China [b]KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China [c]Youth Innovation Promotion Association, Chinese Academy of Sciences, Beijing, China [d]Institute of Clinical and Basic Medical Sciences, First People's Hospital of Yunnan Province, Affiliated Hospital of Kunming University of Science and Technology, Kunming, China [e]School of Life Sciences, Chinese University of Hong Kong, Hong Kong Special Administrative Region, Shatin, Hong Kong [f]Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China [g]Centre for Biodiversity and Conservation Biology, Royal Ontario Museum, Toronto, ON, Canada [h]Key Laboratory of Animal Models and Human Disease Mechanisms, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China [i]Laboratory for Conservation and Utilization of Bio-Resources, Key Laboratory for Microbial Resources of the Ministry of Education, Yunnan University, Kunming, China
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关键词: GWAS haplogroup Myanmar phylogeny Y chromosome Y-SNPs

摘要:
Phylogenetically informative Y chromosomal single-nucleotide polymorphisms (Y-SNPs) integrated in DNA chips have not been sufficiently explored in most genome-wide association studies (GWAS). Herein, we introduce a pipeline to retrieve Y-SNP data. We introduce the software YTool (http://mitotool.org/ytool/ ) to handle conversion, filtering, and annotation of the data. Genome-wide SNP data from populations in Myanmar are used to construct a haplogroup tree for 117 Y chromosomes based on 369 high-confidence Y-SNPs. Parallel genotyping and published resequencing data of Y chromosomes confirm the validity of our pipeline. We apply this strategy to the CEU HapMap data set and construct a haplogroup tree with 107 Y-SNPs from 39 individuals. The retrieved Y-SNPs can discern the parental genetic structure of populations. Given the massive quantity of data from GWAS, this method facilitates future investigations of Y chromosome diversity. © 2014 Macmillan Publishers Limited All rights reserved.

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出版当年[2015]版:
大类 | 2 区 生物
小类 | 3 区 生化与分子生物学 3 区 遗传学
最新[2023]版:
大类 | 2 区 生物学
小类 | 2 区 生化与分子生物学 2 区 遗传学
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出版当年[2014]版:
Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Q1 GENETICS & HEREDITY
最新[2023]版:
Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Q2 GENETICS & HEREDITY

影响因子: 最新[2023版] 最新五年平均 出版当年[2014版] 出版当年五年平均 出版前一年[2013版] 出版后一年[2015版]

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第一作者机构: [a]State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China [b]KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China [c]Youth Innovation Promotion Association, Chinese Academy of Sciences, Beijing, China
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