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The distribution of SNPs in human gene regulatory regions

BACKGROUND: As a result of high-throughput genotyping methods, millions of human genetic variants have been reported in recent years. To efficiently identify those with significant biological functions, a practical strategy is to concentrate on variants located in important sequence regions such as...

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Autores principales: Guo, Yongjian, Jamison, D Curtis
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1260019/
https://www.ncbi.nlm.nih.gov/pubmed/16209714
http://dx.doi.org/10.1186/1471-2164-6-140
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author Guo, Yongjian
Jamison, D Curtis
author_facet Guo, Yongjian
Jamison, D Curtis
author_sort Guo, Yongjian
collection PubMed
description BACKGROUND: As a result of high-throughput genotyping methods, millions of human genetic variants have been reported in recent years. To efficiently identify those with significant biological functions, a practical strategy is to concentrate on variants located in important sequence regions such as gene regulatory regions. RESULTS: Analysis of the most common type of variant, single nucleotide polymorphisms (SNPs), shows that in gene promoter regions more SNPs occur in close proximity to transcriptional start sites than in regions further upstream, and a disproportionate number of those SNPs represent nucleotide transversions. Additionally, the number of SNPs found in the predicted transcription factor binding sites is higher than in non-binding site sequences. CONCLUSION: Current information about transcription factor binding site sequence patterns may not be exhaustive, and SNPs may be actively involved in influencing gene expression by affecting the transcription factor binding sites.
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spelling pubmed-12600192005-10-21 The distribution of SNPs in human gene regulatory regions Guo, Yongjian Jamison, D Curtis BMC Genomics Research Article BACKGROUND: As a result of high-throughput genotyping methods, millions of human genetic variants have been reported in recent years. To efficiently identify those with significant biological functions, a practical strategy is to concentrate on variants located in important sequence regions such as gene regulatory regions. RESULTS: Analysis of the most common type of variant, single nucleotide polymorphisms (SNPs), shows that in gene promoter regions more SNPs occur in close proximity to transcriptional start sites than in regions further upstream, and a disproportionate number of those SNPs represent nucleotide transversions. Additionally, the number of SNPs found in the predicted transcription factor binding sites is higher than in non-binding site sequences. CONCLUSION: Current information about transcription factor binding site sequence patterns may not be exhaustive, and SNPs may be actively involved in influencing gene expression by affecting the transcription factor binding sites. BioMed Central 2005-10-06 /pmc/articles/PMC1260019/ /pubmed/16209714 http://dx.doi.org/10.1186/1471-2164-6-140 Text en Copyright © 2005 Guo and Jamison; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 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 cited.
spellingShingle Research Article
Guo, Yongjian
Jamison, D Curtis
The distribution of SNPs in human gene regulatory regions
title The distribution of SNPs in human gene regulatory regions
title_full The distribution of SNPs in human gene regulatory regions
title_fullStr The distribution of SNPs in human gene regulatory regions
title_full_unstemmed The distribution of SNPs in human gene regulatory regions
title_short The distribution of SNPs in human gene regulatory regions
title_sort distribution of snps in human gene regulatory regions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1260019/
https://www.ncbi.nlm.nih.gov/pubmed/16209714
http://dx.doi.org/10.1186/1471-2164-6-140
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