Literature DB >> 18575462

Predicting the number and sizes of IBD regions among family members and evaluating the family size requirement for linkage studies.

Wanling Yang1, Zhanyong Wang, Lusheng Wang, Pak-Chung Sham, Peng Huang, Yu Lung Lau.   

Abstract

With genotyping of high-density single nucleotide polymorphisms (SNPs) replacing that of microsatellite markers in linkage studies, it becomes possible to accurately determine the genomic regions shared identity by descent (IBD) by family members. In addition to evaluating the likelihood of linkage for a region with the underlining disease (the LOD score approach), an appropriate question to ask is what would be the expected number and sizes of IBD regions among the affecteds, as there could be more than one region reaching the maximum achievable LOD score for a given family. Here, we introduce a computer program to allow the prediction of the total number of IBD regions among family members and their sizes. Reversely, it can be used to predict the portion of the genome that can be excluded from consideration according to the family size and user-defined inheritance mode and penetrance. Such information has implications on the feasibility of conducting linkage analysis on a given family of certain size and structure or on a few small families when interfamily homogeneity can be assumed. It can also help determine the most relevant members to be genotyped for such a study. Simulation results showed that the IBD regions containing true mutations are usually larger than regions IBD due to random chance. We have made use of this feature in our program to allow evaluation of the identified IBD regions based on Bayesian probability calculation and simulation results.

Mesh:

Year:  2008        PMID: 18575462     DOI: 10.1038/ejhg.2008.116

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  5 in total

1.  A homozygous 237-kb deletion at 1p31 identified as the locus for midline cleft of the upper and lower lip in a consanguineous family.

Authors:  Yeşerin Yıldırım; Metin Kerem; Çiğdem Köroğlu; Aslıhan Tolun
Journal:  Eur J Hum Genet       Date:  2013-07-17       Impact factor: 4.246

2.  Identifying mutation regions for closely related individuals without a known pedigree.

Authors:  Wenjuan Cui; Lusheng Wang
Journal:  BMC Bioinformatics       Date:  2012-06-25       Impact factor: 3.169

3.  Homozygosity mapping on a single patient: identification of homozygous regions of recent common ancestry by using population data.

Authors:  Lu Zhang; Wanling Yang; Dingge Ying; Stacey S Cherny; Friedhelm Hildebrandt; Pak Chung Sham; Yu Lung Lau
Journal:  Hum Mutat       Date:  2011-03       Impact factor: 4.878

4.  Linked region detection using high-density SNP genotype data via the minimum recombinant model of pedigree haplotype inference.

Authors:  Lusheng Wang; Zhanyong Wang; Wanling Yang
Journal:  BMC Bioinformatics       Date:  2009-07-15       Impact factor: 3.169

5.  HaploShare: identification of extended haplotypes shared by cases and evaluation against controls.

Authors:  Dingge Ying; Pak Chung Sham; David Keith Smith; Lu Zhang; Yu Lung Lau; Wanling Yang
Journal:  Genome Biol       Date:  2015-05-09       Impact factor: 13.583

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.