Population genomics examines the genetic diversity, evolutionary history, and disease susceptibility of large groups of individuals. By analyzing genome-wide variations across populations, researchers can uncover patterns of adaptation, migration, and natural selection that shape human health. This field helps identify genetic risk factors unique to specific populations, improving disease prediction models and guiding personalized medicine on a global scale. Population genomics also plays a crucial role in understanding complex diseases influenced by both genetic and environmental factors. Large-scale genomic consortia and biobank projects have expanded knowledge about underrepresented populations, reducing health disparities and improving the accuracy of genomic research.
| 2-5 Days | Initial Quality & Plagiarism Check |
| 25-35 Days |
Peer Review Feedback |
| 45-60 Days | Total article processing time |
| English | Publication Language |
| Single-Blind | Peer-Review Model |
| 17% | Acceptance Rate |
| <18% | Similarity Screening Guideline |
| Open Access | Access Model |
All manuscripts undergo editorial assessment and originality screening as part of the journal's evaluation process. The acceptance rate shown is based on journal-level editorial data and may change over time. Similarity reports are assessed editorially and are not interpreted solely on the basis of a numerical similarity score.