Phased-assembly-driven pangenome graphs for structural variant genotyping and complex trait mapping in dairy cattle

Read full text
Authors: Liu Yang, Yahui Gao, Kristen L. Kuhn, Nayan Bhowmik, W. Li, G.I. Zanton, Lingzhao Fang, John B. Cole, Congjun Li, VI Ransom L. Baldwin, Curtis P. Van Tassell, Benjamin D. Rosen
+3 more Li Ma, Timothy P. L. Smith, George E. Liu
Cited by: 3
References: 71

Abstract

Structural variants are an underexplored source of genetic diversity. As part of the FarmGTEx Project, here we report a Holstein breed-specific pangenome graph (H20D) using Minigraph-Cactus and 40 phased haploid assemblies from 20 cows. H20D outperforms both assembly- and read-based long-read callers, and far exceeds short-read approaches, identifying over 10,000 additional structural variants per sample. It also significantly improves structural variant detection and genotyping relative to graphs built across breeds or from fewer/unphased assemblies, with particular advantages in complex regions. Using H20D, we genotype variants in 173 cattle and performed a GWAS, where a larger fraction of structural variants than SNPs reach genome-wide significance, implicating them as potential causal variants. Together, these results demonstrate the power of phased, within-breed pangenome graphs for accurate SV genotyping and trait mapping in dairy cattle.

Fields of Study & Subjects

Genetic and phenotypic traits in livestock Genetic Mapping and Diversity in Plants and Animals Genomics and Phylogenetic Studies

Publication details

Journal / source
Nature Communications
Publisher
Springer Science and Business Media LLC
Volume
17
Issue
1
Publication date
30 January 2026
Language
EN