PigBiobank: a valuable resource for understanding genetic and biological mechanisms of diverse complex traits in pigs.
Haonan ZengWenjing ZhangQing LinYahui GaoJinyan TengZhiting XuXiaodian CaiZhanming ZhongJun WuYuqiang LiuShuqi DiaoChen WeiWentao GongXiangchun PanZedong LiXiaoyu HuangXifan ChenJinshi Dunull nullFuping ZhaoYunxiang ZhaoMaria BallesterDaniel Crespo-PiazueloMarcel AmillsAlex ClopPeter Karlskov-MortensenMerete FredholmPinghua LiRuihua HuangGuoqing TangMingzhou LiXiaohong LiuYaosheng ChenQin ZhangJiaqi LiXiaolong YuanXiangdong DingLingzhao FangZhe ZhangPublished in: Nucleic acids research (2023)
To fully unlock the potential of pigs as both agricultural species for animal-based protein food and biomedical models for human biology and disease, a comprehensive understanding of molecular and cellular mechanisms underlying various complex phenotypes in pigs and how the findings can be translated to other species, especially humans, are urgently needed. Here, within the Farm animal Genotype-Tissue Expression (FarmGTEx) project, we build the PigBiobank (http:////pigbiobank.farmgtex.org) to systematically investigate the relationships among genomic variants, regulatory elements, genes, molecular networks, tissues and complex traits in pigs. This first version of the PigBiobank curates 71 885 pigs with both genotypes and phenotypes from over 100 pig breeds worldwide, covering 264 distinct complex traits. The PigBiobank has the following functions: (i) imputed sequence-based genotype-phenotype associations via a standardized and uniform pipeline, (ii) molecular and cellular mechanisms underlying trait-associations via integrating multi-omics data, (iii) cross-species gene mapping of complex traits via transcriptome-wide association studies, and (iv) high-quality results display and visualization. The PigBiobank will be updated timely with the development of the FarmGTEx-PigGTEx project, serving as an open-access and easy-to-use resource for genetically and biologically dissecting complex traits in pigs and translating the findings to other species.
Keyphrases
- genome wide
- copy number
- dna methylation
- endothelial cells
- poor prognosis
- gene expression
- quality improvement
- genetic diversity
- single cell
- human health
- high resolution
- transcription factor
- climate change
- risk assessment
- heavy metals
- long non coding rna
- small molecule
- rna seq
- mass spectrometry
- machine learning
- amino acid
- genome wide identification
- artificial intelligence