Effect of genotyping error in model-free linkage analysis using microsatellite or single-nucleotide polymorphism marker maps

Author:

Thompson Cheryl L,Baechle Dan,Lu Qing,Mathew George,Song Yeunjoo,Iyengar Sudha K,Gray-McGuire Courtney,Goddard Katrina AB

Abstract

Abstract 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.

Publisher

Springer Science and Business Media LLC

Subject

Genetics (clinical),Genetics

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Development of SNP Markers for Domestic Pork Traceability;Journal of Animal Science and Technology;2010-04-30

2. Haplotype‐Association Analysis;Genetic Dissection of Complex Traits;2008

3. Genotyping errors, pedigree errors, and missing data;Genetic Epidemiology;2005

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