Overview
Genome-wide association studies are observational genetic investigations that scan markers, typically single-nucleotide polymorphisms, across the entire genomes of many individuals to identify statistical associations between genetic variants and a trait or disease. By comparing allele frequencies between cases and controls, or by testing variants against quantitative phenotypes, they locate regions of the genome that contribute to complex, polygenic conditions in which many variants each exert a small effect. Methodologically they depend on high-density genotyping or sequencing, stringent correction for multiple testing, control for population structure, imputation, and replication in independent cohorts, with results often summarised as polygenic risk scores. Findings inform understanding of disease biology, the discovery of candidate genes and pathways, and the development of diagnostics and personalised treatment, though much heritability remains unexplained. The articles collected here engage closely with these themes: bioinformatic analysis of coronary-disease-associated SNPs and genes implicated in atherosclerosis, computational analysis of regulatory SNPs and transcription-factor binding sites in relation to disease and high-altitude adaptation, association studies of gene polymorphisms in type 2 diabetes and obesity, and explicit discussion of missing heritability and co-heritability in genomic studies. Recurring concerns include functional interpretation of associated variants, gene-environment interaction, and the translation of association signals into mechanistic and clinical insight within personalised medicine.
Research published in this journal
9 peer-reviewed articles, ranked by relevance. Each links to its DOI.
Bioinformatic Analysis of Coronary Disease Associated SNPs and Genes to Identify Proteins Potentially Involved in the Pathogenesis of Atherosclerosis
Family with Sequence Similarity 213, Member A is Associated with the Fertility Selection Index in Holsteins
A study on the association of ACE i/D gene polymorphism, Obesity, Blood pressure and susceptibility of type 2 diabetes mellitus among the Kurmis of West Bengal, India.
Bioinformatic Resources for Diabetic Nephropathy
Computational EPAS1 rSNP Analysis, Transcriptional Factor Binding Sites and High Altitude Sickness or Adaptation
Missing Heritability and Missing Co-heritability in Genomic Studies
Computational STAT4 rSNP Analysis, Transcriptional Factor Binding Sites and Disease
How this research is being cited
The 9 articles above have been cited 57 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
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2026 · International Journal of Biometeorology
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J. Grijalva-Avila et al. · 2025 · Metabolites
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2025 · Metabolites
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2025 · Computational and Structural Biotechnology Journal
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2025 · Journal of Molecular Structure
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2025 · Journal of Molecular Structure
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Cynthia Al Hageh et al. · 2025 · Computational and Structural Biotechnology Journal
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2024 · Poultry Science
A sample of recent works citing this journal's research on Genome-wide Association Studies, linking to each citing work.