Cargando…
Linkage analysis of alcohol dependence using both affected and discordant sib pairs
The basic idea of affected-sib-pair (ASP) linkage analysis is to test whether the inheritance pattern of a marker deviates from Mendelian expectation in a sample of ASPs. The test depends on an assumed Mendelian control distribution of the number of marker alleles shared identical by descent (IBD),...
Autores principales: | , , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2005
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866749/ https://www.ncbi.nlm.nih.gov/pubmed/16451646 http://dx.doi.org/10.1186/1471-2156-6-S1-S36 |
_version_ | 1782133317640912896 |
---|---|
author | Shih, Pei-Ying Wang, Tao Xing, Chao Sinha, Moumita Song, Yeunjoo Elston, Robert C |
author_facet | Shih, Pei-Ying Wang, Tao Xing, Chao Sinha, Moumita Song, Yeunjoo Elston, Robert C |
author_sort | Shih, Pei-Ying |
collection | PubMed |
description | The basic idea of affected-sib-pair (ASP) linkage analysis is to test whether the inheritance pattern of a marker deviates from Mendelian expectation in a sample of ASPs. The test depends on an assumed Mendelian control distribution of the number of marker alleles shared identical by descent (IBD), i.e., 1/4, 1/2, and 1/4 for 2, 1, and 0 allele(s) IBD, respectively. However, Mendelian transmission may not always hold, for example because of inbreeding or meiotic drive at the marker or a nearby locus. A more robust and valid approach is to incorporate discordant-sib-pairs (DSPs) as controls to avoid possible false-positive results. To be robust to deviation from Mendelian transmission, here we analyzed Collaborative Study on the Genetics of Alcoholism data by modifying the ASP LOD score method to contrast the estimated distribution of the number of allele(s) shared IBD by ASPs with that by DSPs, instead of with the expected distribution under the Mendelian assumption. This strategy assesses the difference in IBD sharing between ASPs and the IBD sharing between DSPs. Further, it works better than the conventional LOD score ASP linkage method in these data in the sense of avoiding false-positive linkage evidence. |
format | Text |
id | pubmed-1866749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-18667492007-05-11 Linkage analysis of alcohol dependence using both affected and discordant sib pairs Shih, Pei-Ying Wang, Tao Xing, Chao Sinha, Moumita Song, Yeunjoo Elston, Robert C BMC Genet Proceedings The basic idea of affected-sib-pair (ASP) linkage analysis is to test whether the inheritance pattern of a marker deviates from Mendelian expectation in a sample of ASPs. The test depends on an assumed Mendelian control distribution of the number of marker alleles shared identical by descent (IBD), i.e., 1/4, 1/2, and 1/4 for 2, 1, and 0 allele(s) IBD, respectively. However, Mendelian transmission may not always hold, for example because of inbreeding or meiotic drive at the marker or a nearby locus. A more robust and valid approach is to incorporate discordant-sib-pairs (DSPs) as controls to avoid possible false-positive results. To be robust to deviation from Mendelian transmission, here we analyzed Collaborative Study on the Genetics of Alcoholism data by modifying the ASP LOD score method to contrast the estimated distribution of the number of allele(s) shared IBD by ASPs with that by DSPs, instead of with the expected distribution under the Mendelian assumption. This strategy assesses the difference in IBD sharing between ASPs and the IBD sharing between DSPs. Further, it works better than the conventional LOD score ASP linkage method in these data in the sense of avoiding false-positive linkage evidence. BioMed Central 2005-12-30 /pmc/articles/PMC1866749/ /pubmed/16451646 http://dx.doi.org/10.1186/1471-2156-6-S1-S36 Text en Copyright © 2005 Shih 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. |
spellingShingle | Proceedings Shih, Pei-Ying Wang, Tao Xing, Chao Sinha, Moumita Song, Yeunjoo Elston, Robert C Linkage analysis of alcohol dependence using both affected and discordant sib pairs |
title | Linkage analysis of alcohol dependence using both affected and discordant sib pairs |
title_full | Linkage analysis of alcohol dependence using both affected and discordant sib pairs |
title_fullStr | Linkage analysis of alcohol dependence using both affected and discordant sib pairs |
title_full_unstemmed | Linkage analysis of alcohol dependence using both affected and discordant sib pairs |
title_short | Linkage analysis of alcohol dependence using both affected and discordant sib pairs |
title_sort | linkage analysis of alcohol dependence using both affected and discordant sib pairs |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866749/ https://www.ncbi.nlm.nih.gov/pubmed/16451646 http://dx.doi.org/10.1186/1471-2156-6-S1-S36 |
work_keys_str_mv | AT shihpeiying linkageanalysisofalcoholdependenceusingbothaffectedanddiscordantsibpairs AT wangtao linkageanalysisofalcoholdependenceusingbothaffectedanddiscordantsibpairs AT xingchao linkageanalysisofalcoholdependenceusingbothaffectedanddiscordantsibpairs AT sinhamoumita linkageanalysisofalcoholdependenceusingbothaffectedanddiscordantsibpairs AT songyeunjoo linkageanalysisofalcoholdependenceusingbothaffectedanddiscordantsibpairs AT elstonrobertc linkageanalysisofalcoholdependenceusingbothaffectedanddiscordantsibpairs |