Multi-omics integration strategies for animal epigenetic studies - A reviewopen access
- Authors
- Kim, Do-Young; Kim, Jun-Mo
- Issue Date
- Aug-2021
- Publisher
- Asian-Australasian Association of Animal Production Societies
- Keywords
- Epigenetic; Gene regulation; Methylome; Multi-omics integration analysis; Transcriptome
- Citation
- Animal Bioscience, v.34, no.8, pp 1271 - 1282
- Pages
- 12
- Journal Title
- Animal Bioscience
- Volume
- 34
- Number
- 8
- Start Page
- 1271
- End Page
- 1282
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/49890
- DOI
- 10.5713/ab.21.0042
- ISSN
- 2765-0189
2765-0235
- Abstract
- Genome-wide studies provide considerable insights into the genetic background of animals; however, the inheritance of several heritable factors cannot be elucidated. Epigenetics explains these heritabilities, including those of genes influenced by environmental factors. Knowledge of the mechanisms underlying epigenetics enables understanding the processes of gene regulation through interactions with the environment. Recently developed next-generation sequencing (NGS) technologies help understand the interactional changes in epigenetic mechanisms. There are large sets of NGS data available; however, the integrative data analysis approaches still have limitations with regard to reliably interpreting the epigenetic changes. This review focuses on the epigenetic mechanisms and profiling methods and multi-omics integration methods that can provide comprehensive biological insights in animal genetic studies. © 2021 by Animal Bioscience
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