Resources for functional genomic studies of health and development in nonhuman primates
Bibliographic Data
| ID | 8317121 |
|---|---|
| Authors | Anna J Jasinska (0000-0002-1897-4570, Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences David Geffen School of Medicine, University of California Los Angeles California USA, corresponding author) |
| Year | 2020 |
| Volume | 171 |
| Issue | S70 |
| Pages | 174-194 |
| Publication date | 2020-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Journal of Physical Anthropology (JOURNAL) |
| Journal identifiers | ISSN: 0002-9483 • E-ISSN: 1096-8644 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/ajpa.24051 |
| PMID | 32221967 |
| OpenAlex | W3013057226 |
| Language | EN |
| Citations received | 1 |
| References cited | 181 |
Primates display a wide range of phenotypic variation underlaid by complex genetically regulated mechanisms. The links among DNA sequence, gene function, and phenotype have been of interest from an evolutionary perspective, to understand functional genome evolution and its phenotypic consequences, and from a biomedical perspective to understand the shared and human‐specific roots of health and disease. Progress in methods for characterizing genetic, transcriptomic, and DNA methylation (DNAm) variation is driving the rapid development of extensive omics resources, which are now increasingly available from humans as well as a growing number of nonhuman primates (NHPs). The fast growth of large‐scale genomic data is driving the emergence of integrated tools and databases, thus facilitating studies of gene functionality across primates. This review describes NHP genomic resources that can aid in exploration of how genes shape primate phenotypes. It focuses on the gene expression trajectories across development in different tissues, the identification of functional genetic variation (including variants deleterious for protein function and regulatory variants modulating gene expression), and DNAm profiles as an emerging tool to understand the process of aging. These resources enable comparative functional genomics approaches to identify species‐specific and primate‐shared gene functionalities associated with health and development
Biology · Computational biology · Copy-number variation · DNA methylation · dNaM · Evolutionary biology · Function (biology) · Functional genomics · Gene · Gene expression · Genome · Genomics · Human genome · Phenotype · Epigenetics and DNA Methylation · Genetics · Genomics and Chromatin Dynamics · Genomics and Rare Diseases
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| Unique citing works | 1 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |