Literature DB >> 11108646

Bias in multipoint linkage analysis arising from map misspecification.

E W Daw1, E A Thompson, E M Wijsman.   

Abstract

Multipoint linkage analysis methods are often used in human genetic studies. Although multipoint methods increase power for a linkage analysis and will become essential if use of diallelic markers becomes widespread, the methods in use assume an accurate meiotic marker map. Unfortunately, uncertainties in estimates of between-marker meiotic distances are large. Also, sex-averaged maps are generally used, but recombination rates differ in males and females. Both these types of map misspecification can lead to lod score bias, but such bias has not previously been systematically quantified. We examine multipoint lod score bias arising from these map misspecifications, in both the presence and absence of actual linkage. We define bias as the expected difference between the lod score computed under the misspecified map and that computed under the true map. With actual linkage, any map misspecification causes negative bias in lod scores, resulting in loss of power to detect linkage. In most cases, bias is modest, only reaching clearly detectable levels when both types of misspecification are substantial. In the absence of linkage, map misspecification can cause positive or negative bias: falsely assuming a 1:1 female:male ratio always causes positive bias; using too large a distance gives a positive bias; using too small a distance gives a negative bias. This bias can inflate the false-positive rate, especially when the sample size is modest. We conclude that although current sex-averaged maps are suitable for a first-pass multipoint screen, the potential for bias from map misspecification should be evaluated in following up results from such an analysis. Copyright 2000 Wiley-Liss, Inc.

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Year:  2000        PMID: 11108646     DOI: 10.1002/1098-2272(200012)19:4<366::AID-GEPI8>3.0.CO;2-F

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


  34 in total

1.  Linkage analysis in the presence of errors III: marker loci and their map as nuisance parameters.

Authors:  H H Göring; J D Terwilliger
Journal:  Am J Hum Genet       Date:  2000-03-23       Impact factor: 11.025

2.  Detection and integration of genotyping errors in statistical genetics.

Authors:  Eric Sobel; Jeanette C Papp; Kenneth Lange
Journal:  Am J Hum Genet       Date:  2002-01-08       Impact factor: 11.025

3.  Genetic maps of microsatellite and single-nucleotide polymorphism markers: are the distances accurate?

Authors:  Suzanne M Leal
Journal:  Genet Epidemiol       Date:  2003-05       Impact factor: 2.135

4.  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

5.  Linkage analysis in the presence of errors II: marker-locus genotyping errors modeled with hypercomplex recombination fractions.

Authors:  H H Göring; J D Terwilliger
Journal:  Am J Hum Genet       Date:  2000-03       Impact factor: 11.025

6.  Guidelines for genotyping in genomewide linkage studies: single-nucleotide-polymorphism maps versus microsatellite maps.

Authors:  David M Evans; Lon R Cardon
Journal:  Am J Hum Genet       Date:  2004-08-13       Impact factor: 11.025

7.  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

Review 8.  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

9.  Centrotemporal sharp wave EEG trait in rolandic epilepsy maps to Elongator Protein Complex 4 (ELP4).

Authors:  Lisa J Strug; Tara Clarke; Theodore Chiang; Minchen Chien; Zeynep Baskurt; Weili Li; Ruslan Dorfman; Bhavna Bali; Elaine Wirrell; Steven L Kugler; David E Mandelbaum; Steven M Wolf; Patricia McGoldrick; Huntley Hardison; Edward J Novotny; Jingyue Ju; David A Greenberg; James J Russo; Deb K Pal
Journal:  Eur J Hum Genet       Date:  2009-01-28       Impact factor: 4.246

10.  Evidence for extensive transmission distortion in the human genome.

Authors:  Sebastian Zöllner; Xiaoquan Wen; Neil A Hanchard; Mark A Herbert; Carole Ober; Jonathan K Pritchard
Journal:  Am J Hum Genet       Date:  2003-12-15       Impact factor: 11.025

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