AlphaFamImpute: high accuracy imputation in full-sib families from genotype-by-sequencing data
AlphaFamImpute: high accuracy imputation in full-sib families from genotype-by-sequencing data
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AlphaFamImpute:根据基因型测序数据对全同胞家族进行高精度插补
DOI:
10.1101/2019.12.11.872432
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发表时间:
2019
期刊:
影响因子:
--
通讯作者:
Whalen A
中科院分区:
文献类型:
--
作者:
Whalen A
SummaryAlphaFamImpute is an imputation package for calling, phasing and imputing genome-wide genotypes in outbred full-sib families from single nucleotide polymorphism (SNP) array and genotype-by-sequencing (GBS) data. GBS data are increasingly being used to genotype individuals, especially when SNP arrays do not exist for a population of interest. Low-coverage GBS produces data with a large number of missing or incorrect naïve genotype calls, which can be improved by identifying shared haplotype segments between full-sib individuals. Here, we present AlphaFamImpute, an algorithm specifically designed to exploit the genetic structure of full-sib families. It performs imputation using a two-step approach. In the first step, it phases and imputes parental genotypes based on the segregation states of their offspring (i.e. which pair of parental haplotypes the offspring inherited). In the second step, it phases and imputes the offspring genotypes by detecting which haplotype segments the offspring inherited from their parents. With a series of simulations, we find that AlphaFamImpute obtains high-accuracy genotypes, even when the parents are not genotyped and individuals are sequenced at <1x coverage.Availability and implementationAlphaFamImpute is available as a Python package from the AlphaGenes website http://www.AlphaGenes.roslin.ed.ac.uk/AlphaFamImpute.Supplementary informationSupplementary data are available atBioinformaticsonline.