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Homozygosity Mapping on Homozygosity Haplotype Analysis to Detect Recessive Disease-Causing Genes from a Small Number of Unrelated, Outbred Patients

Genes involved in disease that are not common are often difficult to identify; a method that pinpoints them from a small number of unrelated patients will be of great help. In order to establish such a method that detects recessive genes identical-by-descent, we modified homozygosity mapping (HM) so...

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Autores principales: Hagiwara, Koichi, Morino, Hiroyuki, Shiihara, Jun, Tanaka, Tomoaki, Miyazawa, Hitoshi, Suzuki, Tomoko, Kohda, Masakazu, Okazaki, Yasushi, Seyama, Kuniaki, Kawakami, Hideshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3176806/
https://www.ncbi.nlm.nih.gov/pubmed/21949849
http://dx.doi.org/10.1371/journal.pone.0025059
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author Hagiwara, Koichi
Morino, Hiroyuki
Shiihara, Jun
Tanaka, Tomoaki
Miyazawa, Hitoshi
Suzuki, Tomoko
Kohda, Masakazu
Okazaki, Yasushi
Seyama, Kuniaki
Kawakami, Hideshi
author_facet Hagiwara, Koichi
Morino, Hiroyuki
Shiihara, Jun
Tanaka, Tomoaki
Miyazawa, Hitoshi
Suzuki, Tomoko
Kohda, Masakazu
Okazaki, Yasushi
Seyama, Kuniaki
Kawakami, Hideshi
author_sort Hagiwara, Koichi
collection PubMed
description Genes involved in disease that are not common are often difficult to identify; a method that pinpoints them from a small number of unrelated patients will be of great help. In order to establish such a method that detects recessive genes identical-by-descent, we modified homozygosity mapping (HM) so that it is constructed on the basis of homozygosity haplotype (HM on HH) analysis. An analysis using 6 unrelated patients with Siiyama-type α1-antitrypsin deficiency, a disease caused by a founder gene, the correct gene locus was pinpointed from data of any 2 patients (length: 1.2–21.8 centimorgans, median: 1.6 centimorgans). For a test population in which these 6 patients and 54 healthy subjects were scrambled, the approach accurately identified these 6 patients and pinpointed the locus to a 1.4-centimorgan fragment. Analyses using synthetic data revealed that the analysis works well for IBD fragment derived from a most recent common ancestor (MRCA) who existed less than 60 generations ago. The analysis is unsuitable for the genes with a frequency in general population more than 0.1. Thus, HM on HH analysis is a powerful technique, applicable to a small number of patients not known to be related, and will accelerate the identification of disease-causing genes for recessive conditions.
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spelling pubmed-31768062011-09-26 Homozygosity Mapping on Homozygosity Haplotype Analysis to Detect Recessive Disease-Causing Genes from a Small Number of Unrelated, Outbred Patients Hagiwara, Koichi Morino, Hiroyuki Shiihara, Jun Tanaka, Tomoaki Miyazawa, Hitoshi Suzuki, Tomoko Kohda, Masakazu Okazaki, Yasushi Seyama, Kuniaki Kawakami, Hideshi PLoS One Research Article Genes involved in disease that are not common are often difficult to identify; a method that pinpoints them from a small number of unrelated patients will be of great help. In order to establish such a method that detects recessive genes identical-by-descent, we modified homozygosity mapping (HM) so that it is constructed on the basis of homozygosity haplotype (HM on HH) analysis. An analysis using 6 unrelated patients with Siiyama-type α1-antitrypsin deficiency, a disease caused by a founder gene, the correct gene locus was pinpointed from data of any 2 patients (length: 1.2–21.8 centimorgans, median: 1.6 centimorgans). For a test population in which these 6 patients and 54 healthy subjects were scrambled, the approach accurately identified these 6 patients and pinpointed the locus to a 1.4-centimorgan fragment. Analyses using synthetic data revealed that the analysis works well for IBD fragment derived from a most recent common ancestor (MRCA) who existed less than 60 generations ago. The analysis is unsuitable for the genes with a frequency in general population more than 0.1. Thus, HM on HH analysis is a powerful technique, applicable to a small number of patients not known to be related, and will accelerate the identification of disease-causing genes for recessive conditions. Public Library of Science 2011-09-20 /pmc/articles/PMC3176806/ /pubmed/21949849 http://dx.doi.org/10.1371/journal.pone.0025059 Text en Hagiwara 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
Hagiwara, Koichi
Morino, Hiroyuki
Shiihara, Jun
Tanaka, Tomoaki
Miyazawa, Hitoshi
Suzuki, Tomoko
Kohda, Masakazu
Okazaki, Yasushi
Seyama, Kuniaki
Kawakami, Hideshi
Homozygosity Mapping on Homozygosity Haplotype Analysis to Detect Recessive Disease-Causing Genes from a Small Number of Unrelated, Outbred Patients
title Homozygosity Mapping on Homozygosity Haplotype Analysis to Detect Recessive Disease-Causing Genes from a Small Number of Unrelated, Outbred Patients
title_full Homozygosity Mapping on Homozygosity Haplotype Analysis to Detect Recessive Disease-Causing Genes from a Small Number of Unrelated, Outbred Patients
title_fullStr Homozygosity Mapping on Homozygosity Haplotype Analysis to Detect Recessive Disease-Causing Genes from a Small Number of Unrelated, Outbred Patients
title_full_unstemmed Homozygosity Mapping on Homozygosity Haplotype Analysis to Detect Recessive Disease-Causing Genes from a Small Number of Unrelated, Outbred Patients
title_short Homozygosity Mapping on Homozygosity Haplotype Analysis to Detect Recessive Disease-Causing Genes from a Small Number of Unrelated, Outbred Patients
title_sort homozygosity mapping on homozygosity haplotype analysis to detect recessive disease-causing genes from a small number of unrelated, outbred patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3176806/
https://www.ncbi.nlm.nih.gov/pubmed/21949849
http://dx.doi.org/10.1371/journal.pone.0025059
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