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IBC CARe Microarray Allelic Population Prevalences in an American Indian Population
BACKGROUND: The prevalence of variant alleles among single nucleotide polymorphisms (SNPs) is not well known for many minority populations. These population allele frequencies (PAFs) are necessary to guide genetic epidemiology studies and to understand the population specific contribution of these v...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3765406/ https://www.ncbi.nlm.nih.gov/pubmed/24040389 http://dx.doi.org/10.1371/journal.pone.0075080 |
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author | Best, Lyle G. Anderson, Cindy M. Saxena, Richa Almoguera, Berta Chandrupatla, Hareesh Martin, Candelaria Falcon, Gilbert Keplin, Kylie Pearson, Nichole Keating, Brendan J. |
author_facet | Best, Lyle G. Anderson, Cindy M. Saxena, Richa Almoguera, Berta Chandrupatla, Hareesh Martin, Candelaria Falcon, Gilbert Keplin, Kylie Pearson, Nichole Keating, Brendan J. |
author_sort | Best, Lyle G. |
collection | PubMed |
description | BACKGROUND: The prevalence of variant alleles among single nucleotide polymorphisms (SNPs) is not well known for many minority populations. These population allele frequencies (PAFs) are necessary to guide genetic epidemiology studies and to understand the population specific contribution of these variants to disease risk. Large differences in PAF among certain functional groups of genes could also indicate possible selection pressure or founder effects of interest. The 50K SNP, custom genotyping microarray (CARe) was developed, focusing on about 2,000 candidate genes and pathways with demonstrated pathophysiologic influence on cardiovascular disease (CVD). METHODS: The CARe microarray was used to genotype 216 unaffected controls in a study of pre-eclampsia among a Northern Plains, American Indian tribe. The allelic prevalences of 34,240 SNPs suitable for analysis, were determined and compared with corresponding HapMap prevalences for the Caucasian population. Further analysis was conducted to compare the frequency of statistically different prevalences among functionally related SNPs, as determined by the DAVID Bioinformatics Resource. RESULTS: Of the SNPs with PAFs in both datasets, 9.8%,37.2% and 47.1% showed allele frequencies among the American Indian population greater than, less than and either greater or less than (respectively) the HapMap Caucasian population. The 2,547 genes were divided into 53 functional groups using the highest stringency criteria. While none of these groups reached the Bonferroni corrected p value of 0.00094, there were 7 of these 53 groups with significantly more or less differing PAFs, each with a probability of less than 0.05 and an overall probability of 0.0046. CONCLUSION: In comparison to the HapMap Caucasian population, there are substantial differences in the prevalence among an American Indian community of SNPs related to CVD. Certain functional groups of genes and related SNPs show possible evidence of selection pressure or founder effects. |
format | Online Article Text |
id | pubmed-3765406 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-37654062013-09-13 IBC CARe Microarray Allelic Population Prevalences in an American Indian Population Best, Lyle G. Anderson, Cindy M. Saxena, Richa Almoguera, Berta Chandrupatla, Hareesh Martin, Candelaria Falcon, Gilbert Keplin, Kylie Pearson, Nichole Keating, Brendan J. PLoS One Research Article BACKGROUND: The prevalence of variant alleles among single nucleotide polymorphisms (SNPs) is not well known for many minority populations. These population allele frequencies (PAFs) are necessary to guide genetic epidemiology studies and to understand the population specific contribution of these variants to disease risk. Large differences in PAF among certain functional groups of genes could also indicate possible selection pressure or founder effects of interest. The 50K SNP, custom genotyping microarray (CARe) was developed, focusing on about 2,000 candidate genes and pathways with demonstrated pathophysiologic influence on cardiovascular disease (CVD). METHODS: The CARe microarray was used to genotype 216 unaffected controls in a study of pre-eclampsia among a Northern Plains, American Indian tribe. The allelic prevalences of 34,240 SNPs suitable for analysis, were determined and compared with corresponding HapMap prevalences for the Caucasian population. Further analysis was conducted to compare the frequency of statistically different prevalences among functionally related SNPs, as determined by the DAVID Bioinformatics Resource. RESULTS: Of the SNPs with PAFs in both datasets, 9.8%,37.2% and 47.1% showed allele frequencies among the American Indian population greater than, less than and either greater or less than (respectively) the HapMap Caucasian population. The 2,547 genes were divided into 53 functional groups using the highest stringency criteria. While none of these groups reached the Bonferroni corrected p value of 0.00094, there were 7 of these 53 groups with significantly more or less differing PAFs, each with a probability of less than 0.05 and an overall probability of 0.0046. CONCLUSION: In comparison to the HapMap Caucasian population, there are substantial differences in the prevalence among an American Indian community of SNPs related to CVD. Certain functional groups of genes and related SNPs show possible evidence of selection pressure or founder effects. Public Library of Science 2013-09-06 /pmc/articles/PMC3765406/ /pubmed/24040389 http://dx.doi.org/10.1371/journal.pone.0075080 Text en © 2013 Best et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Best, Lyle G. Anderson, Cindy M. Saxena, Richa Almoguera, Berta Chandrupatla, Hareesh Martin, Candelaria Falcon, Gilbert Keplin, Kylie Pearson, Nichole Keating, Brendan J. IBC CARe Microarray Allelic Population Prevalences in an American Indian Population |
title | IBC CARe Microarray Allelic Population Prevalences in an American Indian Population |
title_full | IBC CARe Microarray Allelic Population Prevalences in an American Indian Population |
title_fullStr | IBC CARe Microarray Allelic Population Prevalences in an American Indian Population |
title_full_unstemmed | IBC CARe Microarray Allelic Population Prevalences in an American Indian Population |
title_short | IBC CARe Microarray Allelic Population Prevalences in an American Indian Population |
title_sort | ibc care microarray allelic population prevalences in an american indian population |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3765406/ https://www.ncbi.nlm.nih.gov/pubmed/24040389 http://dx.doi.org/10.1371/journal.pone.0075080 |
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