title: The effect of genotyping error in sib-pair genomewide linkage scans depends crucially upon the method of analysis.
abstract: In genomewide linkage scans for complex diseases involving many loci with small genetic effects, it may be the case that no loci reach conventional statistical significance. A complementary method of evaluating linkage results, locus counting, may provide evidence for the existence of a number of genetic loci in these cases. Sib-pair study designs are often used in genomewide linkage scans, but because all genotype configurations are consistent with Mendelian inheritance, genotyping error will go largely undetected. Previous work on the effect of genotyping error has focused on a single disease locus. We considered the effect of two levels of genotyping error on genomewide evidence for linkage by using the simulated GAW 13 data. For affected sib-pair and non-parametric quantitative trait study designs, a 0.5% genotyping error rate reduced the number of independent linkage regions towards that expected under the null hypothesis of no linkage. A 2% genotyping error rate yielded less independent linkage regions than expected under the null hypothesis of no linkage. For a quantitative trait analysed using a parametric regression-based method, there was very little erosion of the linkage signal, even for error rates as high as 2%.
authors.affiliation: Mathematical Modelling and Genetic Epidemiology Group, Division of Genomic Medicine, EU28, School of Medicine & Biomedical Sciences, Beech Hill Road, Sheffield, S10 2RX, UK. k.walters@sheffield.ac.uk.
authors.forename: Kevin
authors.initials: K
authors.lastname: Walters
mesh_terms: D003627:Data Interpretation, Statistical; D008040:Genetic Linkage; D005820:Genetic Testing / Q000379:methods*; D015894:Genome, Human; D005838:Genotype; D006801:Humans; D008126:Lod Score; D018895:Microsatellite Repeats / Q000235:genetics; D040641:Quantitative Trait Loci / Q000235:genetics*; D012044:Regression Analysis; D012107:Research Design; D035781:Siblings