Mitochondrial sequence variants: testing imputation accuracy and their association with dairy cattle milk traits

The accuracy of imputation of mitochondrial genotypes from the SNP panel to sequence was generally low. The Beagle DR2 statistic enabled selection of sites imputed with higher empirical accuracy. We recommend building larger reference populations with mitochondrial sequence to improve the accuracy of imputing less common variants and ensuring that SNP panels include common variants in the D-loop region.

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Publication Details

Journal
Genetics Selection Evolution
Published
2024-09-12
DOI
https://doi.org/10.1186/s12711-024-00931-5
Citations
2
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
1.10

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article

Mitochondrial sequence variants: testing imputation accuracy and their association with dairy cattle milk traits

Coralie M. Reich, Jigme Dorji, Iona M. MacLeod, Hans D. Daetwyler et al.
2 citations
Genetics Selection Evolution
Genetic and phenotypic traits in livestock
1.10
article

Mitochondrial sequence variants: testing imputation accuracy and their association with dairy cattle milk traits

Coralie M. Reich, Jigme Dorji, Iona M. MacLeod, Hans D. Daetwyler, Christy J. Vander-Jagt, Tuan V. Nguyen, Amanda J. Chamberlain
article en
2 citations

Abstract

The accuracy of imputation of mitochondrial genotypes from the SNP panel to sequence was generally low. The Beagle DR2 statistic enabled selection of sites imputed with higher empirical accuracy. We recommend building larger reference populations with mitochondrial sequence to improve the accuracy of imputing less common variants and ensuring that SNP panels include common variants in the D-loop region.

Genetics Selection EvolutionVol. 56(1)
Commonwealth Scientific and Industrial Research Organisation (AU), La Trobe University (AU), Agriculture Victoria (AU), Federal Scientific Center for Vegetable Growing (RU), AgriBio (AU)
Gardiner Foundation, Agriculture Victoria
Openalex Percentile: Top 19%
Genetic and phenotypic traits in livestock
1.10
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