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Haplotype approach for association analysis on hypertension
We applied a gene-based haplotype approach for the genome-wide association analysis on hypertension using Genetic Analysis Workshop 18 data for unrelated individuals. Association of single-nucleotide polymorphisms and clinical outcome were first assessed and haplotypes were then constructed based on...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143719/ https://www.ncbi.nlm.nih.gov/pubmed/25519392 http://dx.doi.org/10.1186/1753-6561-8-S1-S57 |
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author | Shen, Xiaowei Espin-Garcia, Osvaldo Qiu, Xin Brhane, Yonathan Liu, Geoffrey Xu, Wei |
author_facet | Shen, Xiaowei Espin-Garcia, Osvaldo Qiu, Xin Brhane, Yonathan Liu, Geoffrey Xu, Wei |
author_sort | Shen, Xiaowei |
collection | PubMed |
description | We applied a gene-based haplotype approach for the genome-wide association analysis on hypertension using Genetic Analysis Workshop 18 data for unrelated individuals. Association of single-nucleotide polymorphisms and clinical outcome were first assessed and haplotypes were then constructed based on the gene information and the linkage disequilibrium plot. Extensive haplotype analysis was also conducted for the whole chromosome 3. We found 1 block from the ULK4 gene and 2 blocks from the LOC64690 gene that were significantly associated with hypertension. |
format | Online Article Text |
id | pubmed-4143719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41437192014-09-02 Haplotype approach for association analysis on hypertension Shen, Xiaowei Espin-Garcia, Osvaldo Qiu, Xin Brhane, Yonathan Liu, Geoffrey Xu, Wei BMC Proc Proceedings We applied a gene-based haplotype approach for the genome-wide association analysis on hypertension using Genetic Analysis Workshop 18 data for unrelated individuals. Association of single-nucleotide polymorphisms and clinical outcome were first assessed and haplotypes were then constructed based on the gene information and the linkage disequilibrium plot. Extensive haplotype analysis was also conducted for the whole chromosome 3. We found 1 block from the ULK4 gene and 2 blocks from the LOC64690 gene that were significantly associated with hypertension. BioMed Central 2014-06-17 /pmc/articles/PMC4143719/ /pubmed/25519392 http://dx.doi.org/10.1186/1753-6561-8-S1-S57 Text en Copyright © 2014 Shen et al.; 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. 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 | Proceedings Shen, Xiaowei Espin-Garcia, Osvaldo Qiu, Xin Brhane, Yonathan Liu, Geoffrey Xu, Wei Haplotype approach for association analysis on hypertension |
title | Haplotype approach for association analysis on hypertension |
title_full | Haplotype approach for association analysis on hypertension |
title_fullStr | Haplotype approach for association analysis on hypertension |
title_full_unstemmed | Haplotype approach for association analysis on hypertension |
title_short | Haplotype approach for association analysis on hypertension |
title_sort | haplotype approach for association analysis on hypertension |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143719/ https://www.ncbi.nlm.nih.gov/pubmed/25519392 http://dx.doi.org/10.1186/1753-6561-8-S1-S57 |
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