Protocol to analyze population structure and migration history based on human genome variation data

Summary: We describe a protocol to integrate genome variation data from different datasets and explore the population structure and migration history of human populations. This protocol provides semi-automated scripts to perform and visualize the effect of variant filtering strategy on eliminating b...

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Main Authors: Zicheng Zhao, Yinan Wang, Zhe Zhang, Shuai Cheng Li
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:STAR Protocols
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666166722008085
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author Zicheng Zhao
Yinan Wang
Zhe Zhang
Shuai Cheng Li
author_facet Zicheng Zhao
Yinan Wang
Zhe Zhang
Shuai Cheng Li
author_sort Zicheng Zhao
collection DOAJ
description Summary: We describe a protocol to integrate genome variation data from different datasets and explore the population structure and migration history of human populations. This protocol provides semi-automated scripts to perform and visualize the effect of variant filtering strategy on eliminating batch effects, principal component analysis, ancestry component analysis, historical population effective size inference, and migration and isolation analysis based on independent biallelic SNPs, genotype likelihoods, and haplotypes. The protocol can be adapted to variation data from other sources.For complete details on the use and execution of this protocol, please refer to Zhang et al. (2022).1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
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spelling doaj.art-faf451a040ad4d0fbe9aeadd91b09cf52022-12-22T04:41:32ZengElsevierSTAR Protocols2666-16672023-03-0141101928Protocol to analyze population structure and migration history based on human genome variation dataZicheng Zhao0Yinan Wang1Zhe Zhang2Shuai Cheng Li3Department of Computer Science, City University of Hong Kong, Kowloon 999077, Hong Kong; Shenzhen Byoryn Technology Co., Ltd., Shenzhen 518000, ChinaPeking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen 518036, China; School of Medicine, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen 518055, ChinaDepartment of Cardiology, Zhuhai People’s Hospital (Zhuhai Hospital Affiliated with Jinan University), No. 79 Kanning Road, Zhuhai 519000, ChinaDepartment of Computer Science, City University of Hong Kong, Kowloon 999077, Hong Kong; Corresponding authorSummary: We describe a protocol to integrate genome variation data from different datasets and explore the population structure and migration history of human populations. This protocol provides semi-automated scripts to perform and visualize the effect of variant filtering strategy on eliminating batch effects, principal component analysis, ancestry component analysis, historical population effective size inference, and migration and isolation analysis based on independent biallelic SNPs, genotype likelihoods, and haplotypes. The protocol can be adapted to variation data from other sources.For complete details on the use and execution of this protocol, please refer to Zhang et al. (2022).1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.http://www.sciencedirect.com/science/article/pii/S2666166722008085BioinformaticsGenomicsComputer sciencesEvolutionary biology
spellingShingle Zicheng Zhao
Yinan Wang
Zhe Zhang
Shuai Cheng Li
Protocol to analyze population structure and migration history based on human genome variation data
STAR Protocols
Bioinformatics
Genomics
Computer sciences
Evolutionary biology
title Protocol to analyze population structure and migration history based on human genome variation data
title_full Protocol to analyze population structure and migration history based on human genome variation data
title_fullStr Protocol to analyze population structure and migration history based on human genome variation data
title_full_unstemmed Protocol to analyze population structure and migration history based on human genome variation data
title_short Protocol to analyze population structure and migration history based on human genome variation data
title_sort protocol to analyze population structure and migration history based on human genome variation data
topic Bioinformatics
Genomics
Computer sciences
Evolutionary biology
url http://www.sciencedirect.com/science/article/pii/S2666166722008085
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AT yinanwang protocoltoanalyzepopulationstructureandmigrationhistorybasedonhumangenomevariationdata
AT zhezhang protocoltoanalyzepopulationstructureandmigrationhistorybasedonhumangenomevariationdata
AT shuaichengli protocoltoanalyzepopulationstructureandmigrationhistorybasedonhumangenomevariationdata