Genetic Epidemiology

Aims & Scope

Genetic Epidemiology is a peer-reviewed journal for discussion of research on the genetic causes of the distribution of human traits in families and populations.

Emphasis is placed on the relative contribution of genetic and environmental factors to human disease as revealed by genetic, epidemiological, and biologic investigations.

Genetic Epidemiology primarily publishes papers in statistical genetics, a research field that is primarily concerned with development of statistical, bioinformatical, and computational models for analyzing genetic data.

Incorporation of underlying biology and population genetics into conceptual models is favored.

The Journal seeks original articles comprising either applied research or innovative statistical, mathematical, computational, or genomic methodologies that advance studies in genetic epidemiology.

Other types of reports are encouraged, such as letters to the editor, topic reviews, and perspectives from other fields of research that will likely enrich the field of genetic epidemiology.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.8
2024	1.70

SJR (SCImago Journal Rank)

Year	Value
2024	0.970

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	108

Journal Rank

Year	Value
2024	5084

Journal Citation Indicator

Year	Value
2024	346

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science
• Medline
• Embase

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Medicine, designed to support cutting-edge academic discovery.

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Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator

  Citation: 7269

  Authors: Jack, George, Philip C., Stephen

• Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data

  Citation: 4858

  Authors: Stephen, Adam, Simon G.

• MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes

  Citation: 1648

  Authors: Yun, Cristen J., Jun, Paul, Gonçalo R.

• Bias due to participant overlap in two‐sample Mendelian randomization

  Citation: 1412

  Authors: Stephen, Neil M., Simon G.

• Pedigree disequilibrium tests for multilocus haplotypes

  Citation: 977

  Authors: Frank

• A multiple testing correction method for genetic association studies using correlated single nucleotide polymorphisms

  Citation: 695

  Authors: Xiaoyi, Joshua, Eden R.

• Estimation of the multiple testing burden for genomewide association studies of nearly all common variants

  Citation: 665

  Authors: Itsik, Roman, David, Mark J.

• Estimation of significance thresholds for genomewide association scans

  Citation: 582

  Authors: Frank, Arief

• Implementing a unified approach to family-based tests of association

  Citation: 578

  Authors: Nan M., Steve, Xin

• Estimation of individual admixture: Analytical and study design considerations

  Citation: 545

  Authors: Hua, Jie, Pei, Neil J.

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