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A panel of 32 AIMs suitable for population stratification correction and global ancestry estimation in Mexican mestizos

BACKGROUND: Association studies are useful to unravel the genetic basis of common human diseases. However, the presence of undetected population structure can lead to both false positive results and failures to detect genuine associations. Even when most of the approaches to deal with population str...

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Autores principales: Huerta-Chagoya, Alicia, Moreno-Macías, Hortensia, Fernández-López, Juan Carlos, Ordóñez-Sánchez, María Luisa, Rodríguez-Guillén, Rosario, Contreras, Alejandra, Hidalgo-Miranda, Alfredo, Alfaro-Ruíz, Luis Alberto, Salazar-Fernandez, Edgar Pavel, Moreno-Estrada, Andrés, Aguilar-Salinas, Carlos Alberto, Tusié-Luna, Teresa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323778/
https://www.ncbi.nlm.nih.gov/pubmed/30621578
http://dx.doi.org/10.1186/s12863-018-0707-7
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author Huerta-Chagoya, Alicia
Moreno-Macías, Hortensia
Fernández-López, Juan Carlos
Ordóñez-Sánchez, María Luisa
Rodríguez-Guillén, Rosario
Contreras, Alejandra
Hidalgo-Miranda, Alfredo
Alfaro-Ruíz, Luis Alberto
Salazar-Fernandez, Edgar Pavel
Moreno-Estrada, Andrés
Aguilar-Salinas, Carlos Alberto
Tusié-Luna, Teresa
author_facet Huerta-Chagoya, Alicia
Moreno-Macías, Hortensia
Fernández-López, Juan Carlos
Ordóñez-Sánchez, María Luisa
Rodríguez-Guillén, Rosario
Contreras, Alejandra
Hidalgo-Miranda, Alfredo
Alfaro-Ruíz, Luis Alberto
Salazar-Fernandez, Edgar Pavel
Moreno-Estrada, Andrés
Aguilar-Salinas, Carlos Alberto
Tusié-Luna, Teresa
author_sort Huerta-Chagoya, Alicia
collection PubMed
description BACKGROUND: Association studies are useful to unravel the genetic basis of common human diseases. However, the presence of undetected population structure can lead to both false positive results and failures to detect genuine associations. Even when most of the approaches to deal with population stratification require genome-wide data, the use of a well-selected panel of ancestry informative markers (AIMs) may appropriately correct for population stratification. Few panels of AIMs have been developed for Latino populations and most contain a high number of markers (> 100 AIMs). For some association studies such as candidate gene approaches, it may be unfeasible to genotype a numerous set of markers to avoid false positive results. In such cases, methods that use fewer AIMs may be appropriate. RESULTS: We validated an accurate and cost-effective panel of AIMs, for use in population stratification correction of association studies and global ancestry estimation in Mexicans, as well as in populations having large proportions of both European and Native American ancestries. Based on genome-wide data from 1953 Mexican individuals, we performed a PCA and SNP weights were calculated to select subsets of unlinked AIMs within percentiles 0.10 and 0.90, ensuring that all chromosomes were represented. Correlations between PC1 calculated using genome-wide data versus each subset of AIMs (16, 32, 48 and 64) were r(2) = 0.923, 0.959, 0.972 and 0.978, respectively. When evaluating PCs performance as population stratification adjustment covariates, no correlation was found between P values obtained from uncorrected and genome-wide corrected association analyses (r(2) = 0.141), highlighting that population stratification correction is compulsory for association analyses in admixed populations. In contrast, high correlations were found when adjusting for both PC1 and PC2 for either subset of AIMs (r(2) > 0.900). After multiple validations, including an independent sample, we selected a minimal panel of 32 AIMs, which are highly informative of the major ancestral components of Mexican mestizos, namely European and Native American ancestries. Finally, the correlation between the global ancestry proportions calculated using genome-wide data and our panel of 32 AIMs was r(2) = 0.972. CONCLUSIONS: Our panel of 32 AIMs accurately estimated global ancestry and corrected for population stratification in association studies in Mexican individuals. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12863-018-0707-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-63237782019-01-11 A panel of 32 AIMs suitable for population stratification correction and global ancestry estimation in Mexican mestizos Huerta-Chagoya, Alicia Moreno-Macías, Hortensia Fernández-López, Juan Carlos Ordóñez-Sánchez, María Luisa Rodríguez-Guillén, Rosario Contreras, Alejandra Hidalgo-Miranda, Alfredo Alfaro-Ruíz, Luis Alberto Salazar-Fernandez, Edgar Pavel Moreno-Estrada, Andrés Aguilar-Salinas, Carlos Alberto Tusié-Luna, Teresa BMC Genet Research Article BACKGROUND: Association studies are useful to unravel the genetic basis of common human diseases. However, the presence of undetected population structure can lead to both false positive results and failures to detect genuine associations. Even when most of the approaches to deal with population stratification require genome-wide data, the use of a well-selected panel of ancestry informative markers (AIMs) may appropriately correct for population stratification. Few panels of AIMs have been developed for Latino populations and most contain a high number of markers (> 100 AIMs). For some association studies such as candidate gene approaches, it may be unfeasible to genotype a numerous set of markers to avoid false positive results. In such cases, methods that use fewer AIMs may be appropriate. RESULTS: We validated an accurate and cost-effective panel of AIMs, for use in population stratification correction of association studies and global ancestry estimation in Mexicans, as well as in populations having large proportions of both European and Native American ancestries. Based on genome-wide data from 1953 Mexican individuals, we performed a PCA and SNP weights were calculated to select subsets of unlinked AIMs within percentiles 0.10 and 0.90, ensuring that all chromosomes were represented. Correlations between PC1 calculated using genome-wide data versus each subset of AIMs (16, 32, 48 and 64) were r(2) = 0.923, 0.959, 0.972 and 0.978, respectively. When evaluating PCs performance as population stratification adjustment covariates, no correlation was found between P values obtained from uncorrected and genome-wide corrected association analyses (r(2) = 0.141), highlighting that population stratification correction is compulsory for association analyses in admixed populations. In contrast, high correlations were found when adjusting for both PC1 and PC2 for either subset of AIMs (r(2) > 0.900). After multiple validations, including an independent sample, we selected a minimal panel of 32 AIMs, which are highly informative of the major ancestral components of Mexican mestizos, namely European and Native American ancestries. Finally, the correlation between the global ancestry proportions calculated using genome-wide data and our panel of 32 AIMs was r(2) = 0.972. CONCLUSIONS: Our panel of 32 AIMs accurately estimated global ancestry and corrected for population stratification in association studies in Mexican individuals. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12863-018-0707-7) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-08 /pmc/articles/PMC6323778/ /pubmed/30621578 http://dx.doi.org/10.1186/s12863-018-0707-7 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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
Huerta-Chagoya, Alicia
Moreno-Macías, Hortensia
Fernández-López, Juan Carlos
Ordóñez-Sánchez, María Luisa
Rodríguez-Guillén, Rosario
Contreras, Alejandra
Hidalgo-Miranda, Alfredo
Alfaro-Ruíz, Luis Alberto
Salazar-Fernandez, Edgar Pavel
Moreno-Estrada, Andrés
Aguilar-Salinas, Carlos Alberto
Tusié-Luna, Teresa
A panel of 32 AIMs suitable for population stratification correction and global ancestry estimation in Mexican mestizos
title A panel of 32 AIMs suitable for population stratification correction and global ancestry estimation in Mexican mestizos
title_full A panel of 32 AIMs suitable for population stratification correction and global ancestry estimation in Mexican mestizos
title_fullStr A panel of 32 AIMs suitable for population stratification correction and global ancestry estimation in Mexican mestizos
title_full_unstemmed A panel of 32 AIMs suitable for population stratification correction and global ancestry estimation in Mexican mestizos
title_short A panel of 32 AIMs suitable for population stratification correction and global ancestry estimation in Mexican mestizos
title_sort panel of 32 aims suitable for population stratification correction and global ancestry estimation in mexican mestizos
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323778/
https://www.ncbi.nlm.nih.gov/pubmed/30621578
http://dx.doi.org/10.1186/s12863-018-0707-7
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