Short communication: imputation accuracy of host genomic data from metagenomic sequence information

Metagenomic sequencing is the process of extracting all the genomic information from a given sample. Most metagenomic studies remove any host reads as a matter of course. However, host reads can be used as the basis for genotype imputation to obtain whole genomic sequences. The accuracy of these imputed genotypic calls from a bovine ocular sample was determined by comparing results to those from a commercial array. Overall, imputed genotype calls proved to have a high concordance with array genotype calls (average concordance of 83% and correlation of 0.81 with no filtering). Accuracy increased as filters for host read depth and imputed call confidence were implemented. With filters in place, the average percent concordance was 98% (88% to 99%) while the mean correlation was 0.98 (0.89 to 0.99). Further, identity verification of the metagenomic samples can be carried out if the host is genotyped on another platform.

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Publication Details

Journal
Journal of Animal Science
Published
2025-01-01
DOI
https://doi.org/10.1093/jas/skaf175
Primary Topic
Gene expression and cancer classification
Type
article
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article

Short communication: imputation accuracy of host genomic data from metagenomic sequence information

Andrew D Lakamp, Matthew L Spangler, Alison Bartenslager, Samodha C. Fernando et al.
Journal of Animal Science
Gene expression and cancer classification
article

Short communication: imputation accuracy of host genomic data from metagenomic sequence information

Andrew D Lakamp, Matthew L Spangler, Alison Bartenslager, Samodha C. Fernando, W. M. Snelling
article en

Abstract

Metagenomic sequencing is the process of extracting all the genomic information from a given sample. Most metagenomic studies remove any host reads as a matter of course. However, host reads can be used as the basis for genotype imputation to obtain whole genomic sequences. The accuracy of these imputed genotypic calls from a bovine ocular sample was determined by comparing results to those from a commercial array. Overall, imputed genotype calls proved to have a high concordance with array genotype calls (average concordance of 83% and correlation of 0.81 with no filtering). Accuracy increased as filters for host read depth and imputed call confidence were implemented. With filters in place, the average percent concordance was 98% (88% to 99%) while the mean correlation was 0.98 (0.89 to 0.99). Further, identity verification of the metagenomic samples can be carried out if the host is genotyped on another platform.

Journal of Animal ScienceVol. 103
University of Nebraska–Lincoln (US), Roman L. Hruska U.S. Meat Animal Research Center (US)
Openalex Percentile: Top 90%
Gene expression and cancer classification
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Short communication: imputation accuracy of host genomic data from metagenomic sequence information — Andrew D Lakamp, Matthew L Spangler, et al. · Journal of Animal Science (2025) | TGRS Research Map | TGRS