Literature DB >> 16826532

The affected-/discordant-sib-pair design can guarantee validity of multipoint model-free linkage analysis of incomplete pedigrees when there is marker-marker disequilibrium.

Chao Xing1, Ritwik Sinha, Guan Xing, Qing Lu, Robert C Elston.   

Abstract

Genomewide linkage studies are tending toward the use of single-nucleotide polymorphisms (SNPs) as the markers of choice. However, linkage disequilibrium (LD) between tightly linked SNPs violates the fundamental assumption of linkage equilibrium (LE) between markers that underlies most multipoint calculation algorithms currently available, and this leads to inflated affected-relative-pair allele-sharing statistics when founders' multilocus genotypes are unknown. In this study, we investigate the impact that the degree of LD, marker allele frequency, and association type have on estimating the probabilities of sharing alleles identical by descent in multipoint calculations and hence on type I error rates of different sib-pair linkage approaches that assume LE. We show that marker-marker LD does not inflate type I error rates of affected sib pair (ASP) statistics in the whole parameter space, and that, in any case, discordant sib pairs (DSPs) can be used to control for marker-marker LD in ASPs. We advocate the ASP/DSP design with appropriate sib-pair statistics that test the difference in allele sharing between ASPs and DSPs.

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Year:  2006        PMID: 16826532      PMCID: PMC1559490          DOI: 10.1086/506331

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  26 in total

Review 1.  Regression models for linkage: issues of traits, covariates, heterogeneity, and interaction.

Authors:  Daniel J Schaid; Jane M Olson; W James Gauderman; Robert C Elston
Journal:  Hum Hered       Date:  2003       Impact factor: 0.444

2.  Transmission-ratio distortion and allele sharing in affected sib pairs: a new linkage statistic with reduced bias, with application to chromosome 6q25.3.

Authors:  Mathieu Lemire; Nicole M Roslin; Catherine Laprise; Thomas J Hudson; Kenneth Morgan
Journal:  Am J Hum Genet       Date:  2004-08-20       Impact factor: 11.025

3.  Ignoring linkage disequilibrium among tightly linked markers induces false-positive evidence of linkage for affected sib pair analysis.

Authors:  Qiqing Huang; Sanjay Shete; Christopher I Amos
Journal:  Am J Hum Genet       Date:  2004-10-18       Impact factor: 11.025

4.  SNPLINK: multipoint linkage analysis of densely distributed SNP data incorporating automated linkage disequilibrium removal.

Authors:  Emily L Webb; Gabrielle S Sellick; Richard S Houlston
Journal:  Bioinformatics       Date:  2005-04-19       Impact factor: 6.937

5.  Multipoint linkage analysis for a very dense set of markers.

Authors:  Silviu-Alin Bacanu
Journal:  Genet Epidemiol       Date:  2005-11       Impact factor: 2.135

6.  Two-stage global search designs for linkage analysis using pairs of affected relatives.

Authors:  R C Elston; X Guo; L V Williams
Journal:  Genet Epidemiol       Date:  1996       Impact factor: 2.135

7.  A general model for the genetic analysis of pedigree data.

Authors:  R C Elston; J Stewart
Journal:  Hum Hered       Date:  1971       Impact factor: 0.444

8.  Construction of multilocus genetic linkage maps in humans.

Authors:  E S Lander; P Green
Journal:  Proc Natl Acad Sci U S A       Date:  1987-04       Impact factor: 11.205

9.  Strategies for multilocus linkage analysis in humans.

Authors:  G M Lathrop; J M Lalouel; C Julier; J Ott
Journal:  Proc Natl Acad Sci U S A       Date:  1984-06       Impact factor: 11.205

10.  Linkage analysis of alcohol dependence using both affected and discordant sib pairs.

Authors:  Pei-Ying Shih; Tao Wang; Chao Xing; Moumita Sinha; Yeunjoo Song; Robert C Elston
Journal:  BMC Genet       Date:  2005-12-30       Impact factor: 2.797

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  7 in total

1.  Haseman-Elston regression in ascertained samples: importance of dependent variable and mean correction factor selection.

Authors:  Ritwik Sinha; Courtney Gray-McGuire
Journal:  Hum Hered       Date:  2007-09-26       Impact factor: 0.444

2.  Examining the effect of linkage disequilibrium between markers on the Type I error rate and power of nonparametric multipoint linkage analysis of two-generation and multigenerational pedigrees in the presence of missing genotype data.

Authors:  Yoonhee Kim; Priya Duggal; Elizabeth M Gillanders; Ho Kim; Joan E Bailey-Wilson
Journal:  Genet Epidemiol       Date:  2008-01       Impact factor: 2.135

3.  Linkage analysis with dense SNP maps in isolated populations.

Authors:  Céline Bellenguez; Carole Ober; Catherine Bourgain
Journal:  Hum Hered       Date:  2009-04-09       Impact factor: 0.444

4.  A variable age of onset segregation model for linkage analysis, with correction for ascertainment, applied to glioma.

Authors:  Xiangqing Sun; Jaime Vengoechea; Robert Elston; Yanwen Chen; Christopher I Amos; Georgina Armstrong; Jonine L Bernstein; Elizabeth Claus; Faith Davis; Richard S Houlston; Dora Il'yasova; Robert B Jenkins; Christoffer Johansen; Rose Lai; Ching C Lau; Yanhong Liu; Bridget J McCarthy; Sara H Olson; Siegal Sadetzki; Joellen Schildkraut; Sanjay Shete; Robert Yu; Nicholas A Vick; Ryan Merrell; Margaret Wrensch; Ping Yang; Beatrice Melin; Melissa L Bondy; Jill S Barnholtz-Sloan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-09-07       Impact factor: 4.254

5.  High-density single nucleotide polymorphism genome-wide linkage scan for susceptibility genes for diabetic nephropathy in type 1 diabetes: discordant sibpair approach.

Authors:  John J Rogus; G David Poznik; Marcus G Pezzolesi; Adam M Smiles; Jonathon Dunn; William Walker; Krzysztof Wanic; Dariusz Moczulski; Luis Canani; Shinichi Araki; Yuichiro Makita; James H Warram; Andrzej S Krolewski
Journal:  Diabetes       Date:  2008-06-16       Impact factor: 9.461

6.  Two-step intermediate fine mapping with likelihood ratio test statistics: applications to Problems 2 and 3 data of GAW15.

Authors:  Ritwik Sinha; Yuqun Luo
Journal:  BMC Proc       Date:  2007-12-18

7.  Affected Sib-Pair Analyses Identify Signaling Networks Associated With Social Behavioral Deficits in Autism.

Authors:  Mehdi Pirooznia; Tejasvi Niranjan; Yun-Ching Chen; Ilker Tunc; Fernando S Goes; Dimitrios Avramopoulos; James B Potash; Richard L Huganir; Peter P Zandi; Tao Wang
Journal:  Front Genet       Date:  2019-11-27       Impact factor: 4.599

  7 in total

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