Literature DB >> 15493062

How useful is the fine-scale mapping of complex trait linkage peaks? Evaluating the impact of additional microsatellite genotyping on the posterior probability of linkage.

Steven Wiltshire1, Andrew P Morris, Mark I McCarthy, Lon R Cardon.   

Abstract

The two-stage linkage mapping protocol for complex traits (a primary genome scan with low marker density followed by the high-density genotyping around linkage peaks) is a near-universal practice. The behavior (an increase or a decrease) of the peak upon such fine mapping frequently leads to inferences regarding the veracity of the primary scan finding, namely a true, or a false, positive. We examined by simulation, under the null hypothesis of no linkage and the alternative hypothesis of true linkage, the inferences that can be made regarding the posterior probability of linkage given either a peak increase, or alternatively, a peak decrease, following fine mapping. We considered different models of missing genotype data, fine-mapping LOD score thresholds, and prior probabilities of linkage. Our simulations show that evidence for linkage can increase frequently upon fine mapping under both null and alternative hypotheses, although large increases in LOD scores are more common under the alternative hypothesis. Increased LOD scores accompany an increased posterior probability of linkage, and large LOD score changes and the presence of dominance at the trait locus accentuate this effect. We demonstrate that the greatest changes in the posterior probability of linkage occur when the genotyping data are least complete (and especially when parental genotypes are missing), and the LOD score threshold for fine mapping is relaxed. 2004 Wiley-Liss, Inc.

Mesh:

Year:  2005        PMID: 15493062     DOI: 10.1002/gepi.20023

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


  7 in total

1.  HLA-E, HLA-F, and HLA-G polymorphism: genomic sequence defines haplotype structure and variation spanning the nonclassical class I genes.

Authors:  Chul-Woo Pyo; Luke M Williams; Yuki Moore; Hironobu Hyodo; Shuying Sue Li; Lue Ping Zhao; Noriko Sageshima; Akiko Ishitani; Daniel E Geraghty
Journal:  Immunogenetics       Date:  2006-03-29       Impact factor: 2.846

2.  Mapping quantitative trait loci for longitudinal traits in line crosses.

Authors:  Runqing Yang; Quan Tian; Shizhong Xu
Journal:  Genetics       Date:  2006-06-04       Impact factor: 4.562

3.  Examining the statistical properties of fine-scale mapping in large-scale association studies.

Authors:  Steven Wiltshire; Andrew P Morris; Eleftheria Zeggini
Journal:  Genet Epidemiol       Date:  2008-04       Impact factor: 2.135

4.  Genetic characterization and fine mapping of susceptibility loci for sarcoidosis in African Americans on chromosome 5.

Authors:  Courtney Gray-McGuire; Ritwik Sinha; Sudha Iyengar; Christopher Millard; Benjamin A Rybicki; Robert C Elston; Michael C Iannuzzi
Journal:  Hum Genet       Date:  2006-08-04       Impact factor: 4.132

5.  Localization and replication of the systemic lupus erythematosus linkage signal at 4p16: interaction with 2p11, 12q24 and 19q13 in European Americans.

Authors:  Chao Xing; Andrea L Sestak; Jennifer A Kelly; Kim L Nguyen; Gail R Bruner; John B Harley; Courtney Gray-McGuire
Journal:  Hum Genet       Date:  2006-09-16       Impact factor: 4.132

Review 6.  Finding common susceptibility variants for complex disease: past, present and future.

Authors:  Kalliope Panoutsopoulou; Eleftheria Zeggini
Journal:  Brief Funct Genomic Proteomic       Date:  2009-07-01

7.  Genomewide high-density SNP linkage analysis of non-BRCA1/2 breast cancer families identifies various candidate regions and has greater power than microsatellite studies.

Authors:  Anna Gonzalez-Neira; Juan Manuel Rosa-Rosa; Ana Osorio; Emilio Gonzalez; Melissa Southey; Olga Sinilnikova; Henry Lynch; Rogier A Oldenburg; Christi J van Asperen; Nicoline Hoogerbrugge; Guillermo Pita; Peter Devilee; David Goldgar; Javier Benitez
Journal:  BMC Genomics       Date:  2007-08-30       Impact factor: 3.969

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.