Cargando…

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

BACKGROUND: The HUGO Pan-Asian SNP Consortium (PASNP) has generated a genetic resource of almost 55,000 autosomal single nucleotide polymorphisms (SNPs) across more than 1,800 individuals from 73 urban and indigenous populations in Asia. This has offered valuable insights into the correlation betwee...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Xuanyao, Saw, Woei-Yuh, Ali, Mohammad, Ong, Rick Twee-Hee, Teo, Yik-Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4035063/
https://www.ncbi.nlm.nih.gov/pubmed/24885517
http://dx.doi.org/10.1186/1471-2164-15-332
_version_ 1782318015377833984
author Liu, Xuanyao
Saw, Woei-Yuh
Ali, Mohammad
Ong, Rick Twee-Hee
Teo, Yik-Ying
author_facet Liu, Xuanyao
Saw, Woei-Yuh
Ali, Mohammad
Ong, Rick Twee-Hee
Teo, Yik-Ying
author_sort Liu, Xuanyao
collection PubMed
description BACKGROUND: The HUGO Pan-Asian SNP Consortium (PASNP) has generated a genetic resource of almost 55,000 autosomal single nucleotide polymorphisms (SNPs) across more than 1,800 individuals from 73 urban and indigenous populations in Asia. This has offered valuable insights into the correlation between the genetic ancestry of these populations with major linguistic systems and geography. Here, we attempt to understand whether adaptation to local climate, diet and environment partly explains the genetic variation present in these populations by investigating the genomic signatures of positive selection. RESULTS: To evaluate the impact to the selection analyses due to the considerably lower SNP density as compared to other population genetics resources such as the International HapMap Project (HapMap) or the Singapore Genome Variation Project, we evaluated the extent of haplotype phasing switch errors and the consistency of selection signals from three haplotype-based approaches (iHS, XP-EHH, haploPS) when the HapMap data is thinned to a similar density as PASNP. We subsequently applied haploPS to detect and characterize positive selection in the PASNP populations, identifying 59 genomics regions that were selected in at least one PASNP populations. A cluster analysis on the basis of these 59 signals showed that indigenous populations such as the Negrito from Malaysia and Philippines, the China Hmong, and the Taiwan Ami and Atayal shared more of these signals. We also reported evidence of a positive selection signal encompassing the beta globin gene in the Taiwan Ami and Atayal that was distinct from the signal in the HapMap Africans, suggesting the possibility of convergent evolution at this locus due to malarial selection. CONCLUSIONS: We established that the lower SNP content of the PASNP data conferred weaker ability to detect signatures of positive selection, but the availability of the new approach haploPS retained modest power. Out of all the populations in PASNP, we identified only 59 signals, suggesting a strong need for high-density population-level genotyping data or sequencing data in order to achieve a comprehensive survey of positive selection in Asian populations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-332) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4035063
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-40350632014-06-06 Evaluating the possibility of detecting evidence of positive selection across Asia with sparse genotype data from the HUGO Pan-Asian SNP Consortium Liu, Xuanyao Saw, Woei-Yuh Ali, Mohammad Ong, Rick Twee-Hee Teo, Yik-Ying BMC Genomics Research Article BACKGROUND: The HUGO Pan-Asian SNP Consortium (PASNP) has generated a genetic resource of almost 55,000 autosomal single nucleotide polymorphisms (SNPs) across more than 1,800 individuals from 73 urban and indigenous populations in Asia. This has offered valuable insights into the correlation between the genetic ancestry of these populations with major linguistic systems and geography. Here, we attempt to understand whether adaptation to local climate, diet and environment partly explains the genetic variation present in these populations by investigating the genomic signatures of positive selection. RESULTS: To evaluate the impact to the selection analyses due to the considerably lower SNP density as compared to other population genetics resources such as the International HapMap Project (HapMap) or the Singapore Genome Variation Project, we evaluated the extent of haplotype phasing switch errors and the consistency of selection signals from three haplotype-based approaches (iHS, XP-EHH, haploPS) when the HapMap data is thinned to a similar density as PASNP. We subsequently applied haploPS to detect and characterize positive selection in the PASNP populations, identifying 59 genomics regions that were selected in at least one PASNP populations. A cluster analysis on the basis of these 59 signals showed that indigenous populations such as the Negrito from Malaysia and Philippines, the China Hmong, and the Taiwan Ami and Atayal shared more of these signals. We also reported evidence of a positive selection signal encompassing the beta globin gene in the Taiwan Ami and Atayal that was distinct from the signal in the HapMap Africans, suggesting the possibility of convergent evolution at this locus due to malarial selection. CONCLUSIONS: We established that the lower SNP content of the PASNP data conferred weaker ability to detect signatures of positive selection, but the availability of the new approach haploPS retained modest power. Out of all the populations in PASNP, we identified only 59 signals, suggesting a strong need for high-density population-level genotyping data or sequencing data in order to achieve a comprehensive survey of positive selection in Asian populations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-332) contains supplementary material, which is available to authorized users. BioMed Central 2014-05-02 /pmc/articles/PMC4035063/ /pubmed/24885517 http://dx.doi.org/10.1186/1471-2164-15-332 Text en © Liu et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Liu, Xuanyao
Saw, Woei-Yuh
Ali, Mohammad
Ong, Rick Twee-Hee
Teo, Yik-Ying
Evaluating the possibility of detecting evidence of positive selection across Asia with sparse genotype data from the HUGO Pan-Asian SNP Consortium
title Evaluating the possibility of detecting evidence of positive selection across Asia with sparse genotype data from the HUGO Pan-Asian SNP Consortium
title_full Evaluating the possibility of detecting evidence of positive selection across Asia with sparse genotype data from the HUGO Pan-Asian SNP Consortium
title_fullStr Evaluating the possibility of detecting evidence of positive selection across Asia with sparse genotype data from the HUGO Pan-Asian SNP Consortium
title_full_unstemmed Evaluating the possibility of detecting evidence of positive selection across Asia with sparse genotype data from the HUGO Pan-Asian SNP Consortium
title_short Evaluating the possibility of detecting evidence of positive selection across Asia with sparse genotype data from the HUGO Pan-Asian SNP Consortium
title_sort evaluating the possibility of detecting evidence of positive selection across asia with sparse genotype data from the hugo pan-asian snp consortium
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4035063/
https://www.ncbi.nlm.nih.gov/pubmed/24885517
http://dx.doi.org/10.1186/1471-2164-15-332
work_keys_str_mv AT liuxuanyao evaluatingthepossibilityofdetectingevidenceofpositiveselectionacrossasiawithsparsegenotypedatafromthehugopanasiansnpconsortium
AT sawwoeiyuh evaluatingthepossibilityofdetectingevidenceofpositiveselectionacrossasiawithsparsegenotypedatafromthehugopanasiansnpconsortium
AT alimohammad evaluatingthepossibilityofdetectingevidenceofpositiveselectionacrossasiawithsparsegenotypedatafromthehugopanasiansnpconsortium
AT ongricktweehee evaluatingthepossibilityofdetectingevidenceofpositiveselectionacrossasiawithsparsegenotypedatafromthehugopanasiansnpconsortium
AT teoyikying evaluatingthepossibilityofdetectingevidenceofpositiveselectionacrossasiawithsparsegenotypedatafromthehugopanasiansnpconsortium