African genomes hold the key to accurate genetic risk prediction
Bibliographic Data
| ID | 4656107 |
|---|---|
| Authors | Segun Fatumo (0000-0003-4525-3362, London School of Hygiene & Tropical Medicine, corresponding author), Michael Inouye (0000-0001-9413-6520, University of Cambridge) |
| Year | 2023 |
| Volume | 7 |
| Issue | 3 |
| Pages | 295-296 |
| Publication date | 2023-02-23 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Nature Human Behaviour (JOURNAL) |
| Journal identifiers | ISSN: 2397-3374 • E-ISSN: 2397-3374 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1038/s41562-023-01549-1 |
| PMID | 36823371 |
| OpenAlex | W4321618019 |
| Language | EN |
| Citations received | 1 |
| References cited | 9 |
Biology · Computational biology · Computer security · Evolutionary biology · Computer Science · Genetic Associations and Epidemiology · Genetics, Bioinformatics, and Biomedical Research · Genomics and Rare Diseases
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |