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Updated: Jan 9, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Whole-genome variant of 220 Tibetan sheep from the Qinghai-Tibetan Plateau
Zengkui Lu1,2, Chao Yuan3,4, Tingting Guo1,2
1Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China.
Abstract:
The ancient Tibetan sheep breed has been shaped by long-term natural selection and artificial breeding in the Qinghai-Tibet Plateau region. Although their green organic mutton is highly favored by consumers, the low production efficiency of Tibetan sheep has resulted in a persistent supply shortage. Whole-genome sequencing analysis can identify genetic markers and candidate genes associated with important economic traits, which can be used in genomic-assisted breeding to accelerate genetic improvement and increase production efficiency. Here, we report whole-genome sequencing data from 220 Tibetan sheep across 11 populations inhabiting different altitudes, with an average coverage of 6.20X. Over 98.34% of clean reads were successfully mapped to the Tibetan sheep reference genome, identifying approximately 21.10 million high-quality single-nucleotide polymorphisms. This dataset provides a valuable resource for studying the genetic diversity and adaptability of Tibetan sheep, and may accelerate improvements in genetic traits.
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