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Effect of genotyping error in model-free linkage analysis using microsatellite or single-nucleotide polymorphism marker maps
被引:0
|作者:
Cheryl L Thompson
Dan Baechle
Qing Lu
George Mathew
Yeunjoo Song
Sudha K Iyengar
Courtney Gray-McGuire
Katrina AB Goddard
机构:
[1] Case Western Reserve University,Department of Epidemiology and Biostatistics
[2] Southwest Missouri State University,Department of Mathematics
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关键词:
Mendelian Inheritance;
Genotyping Error;
Sibship Size;
Genotyping Error Rate;
Double Recombinant;
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摘要:
Errors while genotyping are inevitable and can reduce the power to detect linkage. However, does genotyping error have the same impact on linkage results for single-nucleotide polymorphism (SNP) and microsatellite (MS) marker maps? To evaluate this question we detected genotyping errors that are consistent with Mendelian inheritance using large changes in multipoint identity-by-descent sharing in neighboring markers. Only a small fraction of Mendelian consistent errors were detectable (e.g., 18% of MS and 2.4% of SNP genotyping errors). More SNP genotyping errors are Mendelian consistent compared to MS genotyping errors, so genotyping error may have a greater impact on linkage results using SNP marker maps. We also evaluated the effect of genotyping error on the power and type I error rate using simulated nuclear families with missing parents under 0, 0.14, and 2.8% genotyping error rates. In the presence of genotyping error, we found that the power to detect a true linkage signal was greater for SNP (75%) than MS (67%) marker maps, although there were also slightly more false-positive signals using SNP marker maps (5 compared with 3 for MS). Finally, we evaluated the usefulness of accounting for genotyping error in the SNP data using a likelihood-based approach, which restores some of the power that is lost when genotyping error is introduced.
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