Genome-Wide Association Studies (GWAS) investigate genetic variations across the entire genome to identify links between specific DNA markers and complex traits or diseases. By analyzing large populations and comparing genetic profiles of affected and unaffected individuals, GWAS helps pinpoint single nucleotide polymorphisms (SNPs) associated with conditions such as diabetes, cardiovascular disease, autoimmune disorders, psychiatric illnesses, and cancer. This approach has revolutionized human genetics by uncovering thousands of risk loci that contribute to disease susceptibility, drug response, and biological pathways. GWAS also provides insights into gene–environment interactions and helps build polygenic risk scores that improve early prediction and preventive healthcare. With advances in sequencing technologies, biobanks, and computational tools, GWAS continues to expand its impact on precision medicine. Its findings contribute to the development of targeted therapies, personalized diagnostics, and deeper understanding of complex, multifactorial diseases.
| Stage 1 |
Initial Quality & Plagiarism Check The manuscript is reviewed for journal scope, basic submission requirements, ethical compliance, and similarity/plagiarism concerns. |
| Stage 2 |
Editorial Assessment & Peer Review Manuscripts that pass the initial screening undergo editorial assessment and independent peer review in accordance with the journal's peer-review policy. |
| Stage 3 |
Revision & Editorial Decision Authors may be requested to revise their manuscript based on reviewer and editor comments. A final editorial decision is made after the required review and revision stages are completed. |
| Stage 4 |
Production & Publication Accepted manuscripts proceed to production, author proofing, final quality checks, and online publication. |
| 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.