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Applied Genetic Epidemiology publishes high-quality research addressing any of the multidisciplinary research approaches under the broad umbrella of genetic epidemiology. This section comprises of:
• A wide range of human phenotypes, including common chronic diseases, rare congenital abnormalities, and quantitative traits.
• A variety of study designs focused on gene or variant discovery, fine-mapping, genetic and/or environmental modifiers, pleiotropy (including phenome-wide association studies), and clinical translation (e.g. prediction risk modeling).
• Methodology, including study designs applied to family-, population-, and clinic-based samples that borrow heavily from traditional epidemiology (cohort, association studies, meta-analysis, survival analysis) and intersect with the fields of statistical genetics, biomedical informatics and big data analytics.
Emphasis is placed on studies focusing on humans as opposed to genetically engineered or selectively bred animal models, but submissions describing outbred animal cohorts may be considered on a case-by-case basis.
Indexed in: PubMed, PubMed Central, Scopus, Google Scholar, DOAJ, CrossRef, Chemical Abstracts Service (CAS), EMBASE, AGRICOLA, Semantic Scholar, Ulrich's Periodicals Directory, Science Citation Index Expanded, BIOSIS Citation Index, Biological Abstracts, CLOCKSS, EBSCO, OpenAIRE, Zetoc, Mastermind
PMCID: all published articles receive a PMCID
Applied Genetic Epidemiology welcomes submissions of the following article types: Addendum, Book Review, Brief Research Report, Correction, Data Report, Editorial, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Protocols, Review, Specialty Grand Challenge, Systematic Review and Technology Report.
All manuscripts must be submitted directly to the section Applied Genetic Epidemiology, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
Articles published in the section Applied Genetic Epidemiology will benefit from the Frontiers impact and tiering system after online publication. Authors of published original research with the highest impact, as judged democratically by the readers, will be invited by the Chief Editor to write a Frontiers Focused Review - a tier-climbing article. This is referred to as "democratic tiering". The author selection is based on article impact analytics of original research published in all Frontiers specialty journals and sections. Focused Reviews are centered on the original discovery, place it into a broader context, and aim to address the wider community across all of Genetics.
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