4.7 Article

PHARP: a pig haplotype reference panel for genotype imputation

期刊

SCIENTIFIC REPORTS
卷 12, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41598-022-15851-x

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资金

  1. National Natural Science Foundation of China [32172691, 31941007, 31972534, 31872321]
  2. Zhejiang province agriculture (livestock) varieties breeding Key Technology RD Program [2016C02054-2]
  3. Postdoctoral Science Foundation of China [2020M681879]

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Pigs are not only a major meat source but also an important animal model for studying human traits. However, the lack of high-quality pig reference panels limits the application of genotype imputation. In response, the pig Haplotype Reference Panel (PHARP) database has been constructed, providing a large number of pig haplotypes and web-based tools.
Pigs not only function as a major meat source worldwide but also are commonly used as an animal model for studying human complex traits. A large haplotype reference panel has been used to facilitate efficient phasing and imputation of relatively sparse genome-wide microarray chips and low-coverage sequencing data. Using the imputed genotypes in the downstream analysis, such as GWASs, TWASs, eQTL mapping and genomic prediction (GS), is beneficial for obtaining novel findings. However, currently, there is still a lack of publicly available and high-quality pig reference panels with large sample sizes and high diversity, which greatly limits the application of genotype imputation in pigs. In response, we built the pig Haplotype Reference Panel (PHARP) database. PHARP provides a reference panel of 2012 pig haplotypes at 34 million SNPs constructed using whole-genome sequence data from more than 49 studies of 71 pig breeds. It also provides Web-based analytical tools that allow researchers to carry out phasing and imputation consistently and efficiently. PHARP is freely accessible at . We demonstrate its applicability for pig commercial 50 K SNP arrays, by accurately imputing 2.6 billion genotypes at a concordance rate value of 0.971 in 81 Large White pigs (similar to 17 x sequencing coverage). We also applied our reference panel to impute the low-density SNP chip into the high-density data for three GWASs and found novel significantly associated SNPs that might be casual variants.

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