ReviewGenetic epidemiology2011
Genetic epidemiology with a capital E, ten years after.
Review in Genetic epidemiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Age and sex prevalence estimate of Joubert syndrome in Italy.Neurology · 2020Article
- The Population Health OutcomEs aNd Information EXchange (PHOENIX) Program - A Transformative Approach to Reduce the Burden of Chronic Disease.Online journal of public health informatics · 2020Article
- HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders.Genetics in medicine : official journal of the American College of Medical Genetics · 2019Review
- Pharmacogenomics study of thiazide diuretics and QT interval in multi-ethnic populations: the cohorts for heart and aging research in genomic epidemiology.The pharmacogenomics journal · 2018Article
- Mini-Review: The Contribution of Intermediate Phenotypes to GxE Effects on Disorders of Body Composition in the New OMICS Era.International journal of environmental research and public health · 2017Review
- Medicine. Big data meets public health.Science (New York, N.Y.) · 2014Article
- The use of biospecimens in population-based research: a review of the National Cancer Institute's Division of Cancer Control and Population Sciences grant portfolio.Biopreservation and biobanking · 2014Review
- Comparison of study designs used to detect and characterize pharmacogenomic interactions in nonexperimental studies: a simulation study.Pharmacogenetics and genomics · 2014Article
- Increasing value and reducing waste in research design, conduct, and analysis.Lancet (London, England) · 2014Article
- Gene-environment interactions in cancer epidemiology: a National Cancer Institute Think Tank report.Genetic epidemiology · 2013Article
- How can polygenic inheritance be used in population screening for common diseases?Genetics in medicine : official journal of the American College of Medical Genetics · 2013Review
- Translational potential into health care of basic genomic and genetic findings for human immunodeficiency virus, Chlamydia trachomatis, and human papilloma virus.BioMed research international · 2013Article
- Knowledge integration at the center of genomic medicine.Genetics in medicine : official journal of the American College of Medical Genetics · 2012Article
- Genetic epidemiology with a capital E: where will we be in another 10 years?Genetic epidemiology · 2012Article
- Genetic epidemiology: the potential benefits and challenges of using genetic information to improve human health.North Carolina medical journalArticle
Corrections and comments
- Commented on by
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
More than a decade after Duncan Thomas gave his presidential address at the International Society for Genetic Epidemiology entitled "Genetic Epidemiology with a Capital E," genetic epidemiology has gone mainstream. Epidemiology has taken its place not only in gene discovery studies but also in characterizing genetic effects and gene-environment interactions in populations. Furthermore, epidemiologic principles are being applied to the evaluation of genetic tests. We used an online informatics tool, the HuGE Navigator, to describe the growth in the field in the past decade. We developed the HuGE Navigator as a means to continuously monitor the evolving information obtained from epidemiologic studies of the human genome. Between 2001 and 2010, the HuGE Navigator included 57,005 articles published in 2,396 journals. During that period, the annual number of publications increased almost four-fold. The articles included 986 genome-wide association studies and 1,879 meta-analyses of gene-disease associations. The total number of authors of published studies grew from 12,907 in 2001 to 48,389 in 2010. The number of diseases also increased over time, from 697 medical subject headings in 2001 to 1,404 in 2010. Gene-environment interaction was mentioned explicitly in 17% of published abstracts, almost half of which focused on gene-drug interactions. Clearly, genetic epidemiology has gone "capital E" in the past decade; however, the ever-expanding volume and variety of genomic information poses a formidable challenge for developing appropriate methods for analysis, synthesis, and inference on complex genetic and environmental effects. We extend Duncan Thomas' capital E to include "Evaluation" as the tools of epidemiology are increasingly used to assess how genome-based information can be applied in medicine and public health.
Indexed as
Identifiers
22125223What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.