Performing parentage analysis for polysomic inheritances based on allelic phenotypes

Author:

Huang Kang12,Huber Gwendolyn2,Ritland Kermit2,Dunn Derek W1,Li Baoguo13

Affiliation:

1. Shaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi’an 710069, China

2. Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, BC V6T1Z4, Canada

3. Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China

Abstract

AbstractPolyploidy poses several problems for parentage analysis. We present a new polysomic inheritance model for parentage analysis based on genotypes or allelic phenotypes to solve these problems. The effects of five factors are simultaneously accommodated in this model: (1) double-reduction, (2) null alleles, (3) negative amplification, (4) genotyping errors and (5) self-fertilization. To solve genotyping ambiguity (unknown allele dosage), we developed a new method to establish the likelihood formulas for allelic phenotype data and to simultaneously include the effects of our five chosen factors. We then evaluated and compared the performance of our new method with three established methods by using both simulated data and empirical data from the cultivated blueberry (Vaccinium corymbosum). We also developed and compared the performance of two additional estimators to estimate the genotyping error rate and the sample rate. We make our new methods freely available in the software package polygene, at http://github.com/huangkang1987/polygene.

Funder

Strategic Priority Research Program

Chinese Academy of Sciences

National Natural Science Foundation of China

Innovation Capability Support Program of Shaanxi

Young Elite Scientists Sponsorship Program by CAST

National Key Programme of Research and Development, Ministry of Science and Technology

Shaanxi Science and Technology Innovation Team

Shaanxi Province Talents 100 Fellowship

Publisher

Oxford University Press (OUP)

Subject

Genetics(clinical),Genetics,Molecular Biology

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