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Large Genomic Region Free of GWAS-Based Common Variants Contains Fertility-Related Genes

DNA variants, such as single nucleotide polymorphisms (SNPs) and copy number variants (CNVs), are unevenly distributed across the human genome. Currently, dbSNP contains more than 6 million human SNPs, and whole-genome genotyping arrays can assay more than 4 million of them simultaneously. In our st...

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Autores principales: Qiu, Rong, Chen, Chao, Jiang, Hong, Shen, Libing, Wu, Min, Liu, Chunyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3629113/
https://www.ncbi.nlm.nih.gov/pubmed/23613972
http://dx.doi.org/10.1371/journal.pone.0061917
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author Qiu, Rong
Chen, Chao
Jiang, Hong
Shen, Libing
Wu, Min
Liu, Chunyu
author_facet Qiu, Rong
Chen, Chao
Jiang, Hong
Shen, Libing
Wu, Min
Liu, Chunyu
author_sort Qiu, Rong
collection PubMed
description DNA variants, such as single nucleotide polymorphisms (SNPs) and copy number variants (CNVs), are unevenly distributed across the human genome. Currently, dbSNP contains more than 6 million human SNPs, and whole-genome genotyping arrays can assay more than 4 million of them simultaneously. In our study, we first questioned whether published genome-wide association studies (GWASs) assays cover all regions well in the genome. Using dbSNP build 135 data, we identified 50 genomic regions longer than 100 Kb that do not contain any common SNPs, i.e., those with minor allele frequency (MAF)≥1%. Secondly, because conserved regions are generally of functional importance, we tested genes in those large genomic regions without common SNPs. We found 97 genes and were enriched for reproduction function. In addition, we further filtered out regions with CNVs listed in the Database of Genomic Variants (DGV), segmental duplications from Human Genome Project and common variants identified by personal genome sequencing (UCSC). No region survived after those filtering. Our analysis suggests that, while there may not be many large genomic regions free of common variants, there are still some “holes” in the current human genomic map for common SNPs. Because GWAS only focused on common SNPs, interpretation of GWAS results should take this limitation into account. Particularly, two recent GWAS of fertility may be incomplete due to the map deficit. Additional SNP discovery efforts should pay close attention to these regions.
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spelling pubmed-36291132013-04-23 Large Genomic Region Free of GWAS-Based Common Variants Contains Fertility-Related Genes Qiu, Rong Chen, Chao Jiang, Hong Shen, Libing Wu, Min Liu, Chunyu PLoS One Research Article DNA variants, such as single nucleotide polymorphisms (SNPs) and copy number variants (CNVs), are unevenly distributed across the human genome. Currently, dbSNP contains more than 6 million human SNPs, and whole-genome genotyping arrays can assay more than 4 million of them simultaneously. In our study, we first questioned whether published genome-wide association studies (GWASs) assays cover all regions well in the genome. Using dbSNP build 135 data, we identified 50 genomic regions longer than 100 Kb that do not contain any common SNPs, i.e., those with minor allele frequency (MAF)≥1%. Secondly, because conserved regions are generally of functional importance, we tested genes in those large genomic regions without common SNPs. We found 97 genes and were enriched for reproduction function. In addition, we further filtered out regions with CNVs listed in the Database of Genomic Variants (DGV), segmental duplications from Human Genome Project and common variants identified by personal genome sequencing (UCSC). No region survived after those filtering. Our analysis suggests that, while there may not be many large genomic regions free of common variants, there are still some “holes” in the current human genomic map for common SNPs. Because GWAS only focused on common SNPs, interpretation of GWAS results should take this limitation into account. Particularly, two recent GWAS of fertility may be incomplete due to the map deficit. Additional SNP discovery efforts should pay close attention to these regions. Public Library of Science 2013-04-17 /pmc/articles/PMC3629113/ /pubmed/23613972 http://dx.doi.org/10.1371/journal.pone.0061917 Text en © 2013 Qiu 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
Qiu, Rong
Chen, Chao
Jiang, Hong
Shen, Libing
Wu, Min
Liu, Chunyu
Large Genomic Region Free of GWAS-Based Common Variants Contains Fertility-Related Genes
title Large Genomic Region Free of GWAS-Based Common Variants Contains Fertility-Related Genes
title_full Large Genomic Region Free of GWAS-Based Common Variants Contains Fertility-Related Genes
title_fullStr Large Genomic Region Free of GWAS-Based Common Variants Contains Fertility-Related Genes
title_full_unstemmed Large Genomic Region Free of GWAS-Based Common Variants Contains Fertility-Related Genes
title_short Large Genomic Region Free of GWAS-Based Common Variants Contains Fertility-Related Genes
title_sort large genomic region free of gwas-based common variants contains fertility-related genes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3629113/
https://www.ncbi.nlm.nih.gov/pubmed/23613972
http://dx.doi.org/10.1371/journal.pone.0061917
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