Aims and Scope of Genetic Epidemiology
Genetic Epidemiology is a peer-reviewed medical journal for research on the genetic epidemiology of human traits in families and populations. It is published by John Wiley & Sons on behalf of the International Genetic Epidemiology Society. Less
Key Metrics
CiteScore 

3.7
H-Index 

102
Impact Factor 

< 5
SJR 

Q2Epidemiology

SNIP 

0.75
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Topics Covered on Genetic Epidemiology
Genetic Epidemiology Journal Specifications
Indexed in the following public directories
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SJR
| Overview | |
| Publisher | WILEY |
| Language | English |
| Frequency | Bi-monthly |
| General Details | |
| Language | English |
| Frequency | Bi-monthly |
| Publication Start Year | 1984 |
| Publisher URL | Visit website |
| Website URL | Visit website |
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Recently Published Papers in Genetic Epidemiology
Robust Inference With Ghostknockoffs in Genome-Wide Association Studies With Sample Relatedness.
- 1 Sep 2026
- Genetic epidemiology
Individualized Bayesian Inference Identifies Novel Genetic Variants for Parkinson's Disease.
- 1 Sep 2026
- Genetic epidemiology
The Omnicausal Model Reveals the Highly Polyfactorial Nature of Complex Diseases
- 1 Aug 2026
- Genetic Epidemiology
Deep Unsupervised Domain Adaptation for Translating Cancer Dependency Maps From Cell Lines to Breast Cancer Tumor Genomics.
- 1 Jul 2026
- Genetic epidemiology
Applying Bayesian Multivariable Mendelian Randomisation to Prioritise Candidate Causal Traits From High\u2010Dimensional Data: Illustration From Estimation of the Effect of Maternal Metabolites on Offspring Birthweight
- 30 Jun 2026
- Genetic Epidemiology
Issue Information
- 27 Jun 2026
- Genetic Epidemiology
Robust Inference With Ghostknockoffs in Genome-Wide Association Studies With Sample Relatedness.
- 1 Sep 2026
- Genetic epidemiology
Individualized Bayesian Inference Identifies Novel Genetic Variants for Parkinson's Disease.
- 1 Sep 2026
- Genetic epidemiology
The Omnicausal Model Reveals the Highly Polyfactorial Nature of Complex Diseases
- 1 Aug 2026
- Genetic Epidemiology
Deep Unsupervised Domain Adaptation for Translating Cancer Dependency Maps From Cell Lines to Breast Cancer Tumor Genomics.
- 1 Jul 2026
- Genetic epidemiology
Applying Bayesian Multivariable Mendelian Randomisation to Prioritise Candidate Causal Traits From High\u2010Dimensional Data: Illustration From Estimation of the Effect of Maternal Metabolites on Offspring Birthweight
- 30 Jun 2026
- Genetic Epidemiology
Issue Information
- 27 Jun 2026
- Genetic Epidemiology