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Genetic imprinting analysis for alcoholism genes using variance components approach
Genomic imprinting, which is also known as the parent-of-origin effect, is a mechanism that only expresses one copy of a gene pair depending upon the parental origin. Although many chromosomal regions in the human genome are likely to be imprinted, imprinting is not accounted for in the usual linkag...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2005
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866772/ https://www.ncbi.nlm.nih.gov/pubmed/16451623 http://dx.doi.org/10.1186/1471-2156-6-S1-S161 |
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author | Shete, Sanjay Yu, Robert |
author_facet | Shete, Sanjay Yu, Robert |
author_sort | Shete, Sanjay |
collection | PubMed |
description | Genomic imprinting, which is also known as the parent-of-origin effect, is a mechanism that only expresses one copy of a gene pair depending upon the parental origin. Although many chromosomal regions in the human genome are likely to be imprinted, imprinting is not accounted for in the usual linkage analysis. In this study, using a variance-components approach with a quantitative phenotype ttth-FP1, we found significant evidence of imprinting at two loci, D7S1790 and D1S1631, on chromosome 1 and chromosome 7, respectively. Our results suggest that allowing for the possibility of imprinting can increase the power to detect linkage for localizing genes for alcoholism. |
format | Text |
id | pubmed-1866772 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-18667722007-05-11 Genetic imprinting analysis for alcoholism genes using variance components approach Shete, Sanjay Yu, Robert BMC Genet Proceedings Genomic imprinting, which is also known as the parent-of-origin effect, is a mechanism that only expresses one copy of a gene pair depending upon the parental origin. Although many chromosomal regions in the human genome are likely to be imprinted, imprinting is not accounted for in the usual linkage analysis. In this study, using a variance-components approach with a quantitative phenotype ttth-FP1, we found significant evidence of imprinting at two loci, D7S1790 and D1S1631, on chromosome 1 and chromosome 7, respectively. Our results suggest that allowing for the possibility of imprinting can increase the power to detect linkage for localizing genes for alcoholism. BioMed Central 2005-12-30 /pmc/articles/PMC1866772/ /pubmed/16451623 http://dx.doi.org/10.1186/1471-2156-6-S1-S161 Text en Copyright © 2005 Shete and Yu; 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 | Proceedings Shete, Sanjay Yu, Robert Genetic imprinting analysis for alcoholism genes using variance components approach |
title | Genetic imprinting analysis for alcoholism genes using variance components approach |
title_full | Genetic imprinting analysis for alcoholism genes using variance components approach |
title_fullStr | Genetic imprinting analysis for alcoholism genes using variance components approach |
title_full_unstemmed | Genetic imprinting analysis for alcoholism genes using variance components approach |
title_short | Genetic imprinting analysis for alcoholism genes using variance components approach |
title_sort | genetic imprinting analysis for alcoholism genes using variance components approach |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866772/ https://www.ncbi.nlm.nih.gov/pubmed/16451623 http://dx.doi.org/10.1186/1471-2156-6-S1-S161 |
work_keys_str_mv | AT shetesanjay geneticimprintinganalysisforalcoholismgenesusingvariancecomponentsapproach AT yurobert geneticimprintinganalysisforalcoholismgenesusingvariancecomponentsapproach |