Literature DB >> 16093727

Linkage disequilibrium inflates type I error rates in multipoint linkage analysis when parental genotypes are missing.

Abee L Boyles1, William K Scott, Eden R Martin, Silke Schmidt, Yi-Ju Li, Allison Ashley-Koch, Meredyth P Bass, Michael Schmidt, Margaret A Pericak-Vance, Marcy C Speer, Elizabeth R Hauser.   

Abstract

OBJECTIVES: Describe the inflation in nonparametric multipoint LOD scores due to inter-marker linkage disequilibrium (LD) across many markers with varied allele frequencies.
METHOD: Using simulated two-generation families with and without parents, we conducted nonparametric multipoint linkage analysis with 2 to 10 markers with minor allele frequencies (MAF) of 0.5 and 0.1.
RESULTS: Misspecification of population haplotype frequencies by assuming linkage equilibrium caused inflated multipoint LOD scores due to inter-marker LD when parental genotypes were not included. Inflation increased as more markers in LD were included and decreased as markers in equilibrium were added. When marker allele frequencies were unequal, the r2 measure of LD was a better predictor of inflation than D'.
CONCLUSION: This observation strongly supports the evaluation of LD in multipoint linkage analyses, and further suggests that unaccounted for LD may be suspected when two-point and multipoint linkage analyses show a marked disparity in regions with elevated r2 measures of LD. Given the increasing popularity of high-density genome-wide SNP screens, inter-marker LD should be a concern in future linkage studies. Copyright 2005 S. Karger AG, Basel.

Mesh:

Substances:

Year:  2005        PMID: 16093727      PMCID: PMC1224705          DOI: 10.1159/000087122

Source DB:  PubMed          Journal:  Hum Hered        ISSN: 0001-5652            Impact factor:   0.444


  10 in total

Review 1.  Using haplotype blocks to map human complex trait loci.

Authors:  Lon R Cardon; Gonçalo R Abecasis
Journal:  Trends Genet       Date:  2003-03       Impact factor: 11.639

2.  The International HapMap Project.

Authors: 
Journal:  Nature       Date:  2003-12-18       Impact factor: 49.962

3.  A 3.9-centimorgan-resolution human single-nucleotide polymorphism linkage map and screening set.

Authors:  Tara C Matise; Ravi Sachidanandam; Andrew G Clark; Leonid Kruglyak; Ellen Wijsman; Jerzy Kakol; Steven Buyske; Buena Chui; Patrick Cohen; Claudia de Toma; Margaret Ehm; Stephen Glanowski; Chunsheng He; Jeremy Heil; Kyriacos Markianos; Ivy McMullen; Margaret A Pericak-Vance; Arkadiy Silbergleit; Lincoln Stein; Michael Wagner; Alexander F Wilson; Jeffrey D Winick; Emily S Winn-Deen; Carl T Yamashiro; Howard M Cann; Eric Lai; Arthur L Holden
Journal:  Am J Hum Genet       Date:  2003-07-03       Impact factor: 11.025

4.  Pedigree generation for analysis of genetic linkage and association.

Authors:  M P Bass; E R Martin; E R Hauser
Journal:  Pac Symp Biocomput       Date:  2004

5.  A haplotype-based 'haplotype relative risk' approach to detecting allelic associations.

Authors:  J D Terwilliger; J Ott
Journal:  Hum Hered       Date:  1992       Impact factor: 0.444

6.  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

7.  Model misspecification and multipoint linkage analysis.

Authors:  N Risch; L Giuffra
Journal:  Hum Hered       Date:  1992       Impact factor: 0.444

8.  Genetic linkage analysis of complex genetic traits by using affected sibling pairs.

Authors:  E R Hauser; M Boehnke
Journal:  Biometrics       Date:  1998-12       Impact factor: 2.571

9.  Linkage analysis with misclassification at one locus.

Authors:  J Ott
Journal:  Clin Genet       Date:  1977-08       Impact factor: 4.438

10.  Effects of misspecifying genetic parameters in lod score analysis.

Authors:  F Clerget-Darpoux; C Bonaïti-Pellié; J Hochez
Journal:  Biometrics       Date:  1986-06       Impact factor: 2.571

  10 in total
  41 in total

Review 1.  Linkage analysis in the next-generation sequencing era.

Authors:  Joan E Bailey-Wilson; Alexander F Wilson
Journal:  Hum Hered       Date:  2011-12-23       Impact factor: 0.444

2.  Dissection of chromosome 16p12 linkage peak suggests a possible role for CACNG3 variants in age-related macular degeneration susceptibility.

Authors:  Kylee L Spencer; Lana M Olson; Nathalie Schnetz-Boutaud; Paul Gallins; Gaofeng Wang; William K Scott; Anita Agarwal; Johanna Jakobsdottir; Yvette Conley; Daniel E Weeks; Michael B Gorin; Margaret A Pericak-Vance; Jonathan L Haines
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-03-28       Impact factor: 4.799

3.  Mixtures with relatives and linked markers.

Authors:  Guro Dørum; Daniel Kling; Andreas Tillmar; Magnus Dehli Vigeland; Thore Egeland
Journal:  Int J Legal Med       Date:  2015-11-27       Impact factor: 2.686

4.  A high-density screen for linkage in multiple sclerosis.

Authors:  Stephen Sawcer; Maria Ban; Mel Maranian; Tai Wai Yeo; Alastair Compston; Andrew Kirby; Mark J Daly; Philip L De Jager; Emily Walsh; Eric S Lander; John D Rioux; David A Hafler; Adrian Ivinson; Jacqueline Rimmler; Simon G Gregory; Silke Schmidt; Margaret A Pericak-Vance; Eva Akesson; Jan Hillert; Pameli Datta; Annette Oturai; Lars P Ryder; Hanne F Harbo; Anne Spurkland; Kjell-Morten Myhr; Mikko Laaksonen; David Booth; Robert Heard; Graeme Stewart; Robin Lincoln; Lisa F Barcellos; Stephen L Hauser; Jorge R Oksenberg; Shannon J Kenealy; Jonathan L Haines
Journal:  Am J Hum Genet       Date:  2005-07-29       Impact factor: 11.025

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

Authors:  Chao Xing; Ritwik Sinha; Guan Xing; Qing Lu; Robert C Elston
Journal:  Am J Hum Genet       Date:  2006-06-26       Impact factor: 11.025

6.  Extension of the SIMLA package for generating pedigrees with complex inheritance patterns: environmental covariates, gene-gene and gene-environment interaction.

Authors:  Mike Schmidt; Elizabeth R Hauser; Eden R Martin; Silke Schmidt
Journal:  Stat Appl Genet Mol Biol       Date:  2005-06-06

7.  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

8.  Ignoring intermarker linkage disequilibrium induces false-positive evidence of linkage for consanguineous pedigrees when genotype data is missing for any pedigree member.

Authors:  Bingshan Li; Suzanne M Leal
Journal:  Hum Hered       Date:  2007-12-11       Impact factor: 0.444

9.  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

10.  Genome-wide study of families with absolute pitch reveals linkage to 8q24.21 and locus heterogeneity.

Authors:  Elizabeth Theusch; Analabha Basu; Jane Gitschier
Journal:  Am J Hum Genet       Date:  2009-07-02       Impact factor: 11.025

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.