ArticleAmerican journal of public health2013
Rethinking our public health genetics research paradigm.
Article in American journal of public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Identifying Perceptions and Preferences of the General Public Concerning Universal Screening of Children for Familial Hypercholesterolaemia.Public health genomics · 2019Article
- Trends in the characteristics of human functional genomic data on the gene expression omnibus, 2001-2017.Laboratory investigation; a journal of technical methods and pathology · 2019Article
- The Evolution of Public Health Genomics: Exploring Its Past, Present, and Future.Frontiers in public health · 2018Review
- The mathematical limits of genetic prediction for complex chronic disease.Journal of epidemiology and community health · 2015Article
- Gene-environment interaction research in psychiatric epidemiology: a framework and implications for study design.Social psychiatry and psychiatric epidemiology · 2014Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Since the sequencing of the human genome, tremendous resources have been dedicated to understanding how genetic determinants may drive the production of disease. Despite some successes, the promise of genetics research in these areas remains largely unrealized. The focus on isolating individual (or clusters of) genes that may be associated with narrowly defined phenotypes in large part explains this discrepancy. In particular, efforts to identify genotypes associated with narrow phenotypes force the field to use study designs that capitalize on homogeneous samples to minimize the potential for competing influences or confounders, which imposes important limitations on understanding the role of genes in human health. We argue that a population health genetics that incorporates genetics into large, multiwave, multilevel cohorts has the best potential to clarify how genes, in combination and with the environment, jointly influence population health.
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