Literature DB >> 11793653

The effect of genotype and pedigree error on linkage analysis: analysis of three asthma genome scans.

S S Cherny1, G R Abecasis, W O Cookson, P C Sham, L R Cardon.   

Abstract

The effects of genotype and relationship errors on linkage results are evaluated in three of the Genetic Analysis Workshop 12 asthma genome scans. A number of errors are detected in the samples. While the evidence for linkage is not striking in any data set with or without error, in some cases the difference in test statistic could support different conclusions. The results provide empirical evidence for the predicted effects of genotype and relationship error and highlight the need for rigorous detection and elimination of data error in complex trait studies.

Entities:  

Mesh：

Year:  2001        PMID： 11793653     DOI： 10.1002/gepi.2001.21.s1.s117

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN： 0741-0395            Impact factor:   2.135


  12 in total

Review 1.  Joint oligogenic segregation and linkage analysis using bayesian Markov chain Monte Carlo methods.

Authors:  Ellen M Wijsman; Dongmei Yu
Journal:  Mol Biotechnol       Date:  2004-11       Impact factor: 2.695

Review 2.  Factors affecting statistical power in the detection of genetic association.

Authors:  Derek Gordon; Stephen J Finch
Journal:  J Clin Invest       Date:  2005-06       Impact factor: 14.808

3.  Maximum-likelihood estimation of recent shared ancestry (ERSA).

Authors:  Chad D Huff; David J Witherspoon; Tatum S Simonson; Jinchuan Xing; W Scott Watkins; Yuhua Zhang; Therese M Tuohy; Deborah W Neklason; Randall W Burt; Stephen L Guthery; Scott R Woodward; Lynn B Jorde
Journal:  Genome Res       Date:  2011-02-08       Impact factor: 9.043

4.  Detection of Mendelian consistent genotyping errors in pedigrees.

Authors:  Charles Y K Cheung; Elizabeth A Thompson; Ellen M Wijsman
Journal:  Genet Epidemiol       Date:  2014-04-09       Impact factor: 2.135

5.  Reducing the exome search space for mendelian diseases using genetic linkage analysis of exome genotypes.

Authors:  Katherine R Smith; Catherine J Bromhead; Michael S Hildebrand; A Eliot Shearer; Paul J Lockhart; Hossein Najmabadi; Richard J Leventer; George McGillivray; David J Amor; Richard J Smith; Melanie Bahlo
Journal:  Genome Biol       Date:  2011-09-14       Impact factor: 13.583

6.  Enhanced genetic maps from family-based disease studies: population-specific comparisons.

Authors:  Chunsheng He; Daniel E Weeks; Steven Buyske; Goncalo R Abecasis; William C Stewart; Tara C Matise
Journal:  BMC Med Genet       Date:  2011-01-19       Impact factor: 2.103

7.  Pedigree and genotype errors in the Framingham Heart Study.

Authors:  Gerry Brush; Laura Almasy
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

8.  Germline recessive mutations in PI4KA are associated with perisylvian polymicrogyria, cerebellar hypoplasia and arthrogryposis.

Authors:  Alistair T Pagnamenta; Malcolm F Howard; Eva Wisniewski; Niko Popitsch; Samantha J L Knight; David A Keays; Gerardine Quaghebeur; Helen Cox; Phillip Cox; Tamas Balla; Jenny C Taylor; Usha Kini
Journal:  Hum Mol Genet       Date:  2015-04-08       Impact factor: 6.150

9.  Multiphasic analysis of whole exome sequencing data identifies a novel mutation of ACTG1 in a nonsyndromic hearing loss family.

Authors:  Gibeom Park; Jungsoo Gim; Ah Reum Kim; Kyu-Hee Han; Hyo-Sang Kim; Seung-Ha Oh; Taesung Park; Woong-Yang Park; Byung Yoon Choi
Journal:  BMC Genomics       Date:  2013-03-18       Impact factor: 3.969

10.  Accurate and robust prediction of genetic relationship from whole-genome sequences.

Authors:  Hong Li; Gustavo Glusman; Chad Huff; Juan Caballero; Jared C Roach
Journal:  PLoS One       Date:  2014-02-28       Impact factor: 3.240
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.