Evidence map›Paper›PMID 22311722›Full record

ArticleGenetic epidemiology2012

Genetic epidemiology with a capital E: where will we be in another 10 years?

Duncan C Thomas

Abstract readEditorialComment
In one paragraph

Article in Genetic epidemiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Environmental changes, microbiota, and allergic diseases.Allergy, asthma & immunology research · 2014
    Review
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Duncan C Thomas

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4M
Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
Transdisciplinary Studies of Genetic Variation in Colorectal CancerU19CA148107 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GRUBER, STEPHEN B · 2010 to 2014
$11.1M
Methods for Pathway Modeling with Application to FolateR01ES019876 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, DUNCAN C. · 2010 to 2014
$2.9M
DESIGN AND ANALYSIS OF GENOME-WIDE ASSOCIATION STUDIESU01ES015090 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, DUNCAN C. · 2006 to 2008
$927k
Statistical Methods for Epigenetic Mediation of Exposure-response RelationsR21ES020794 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, DUNCAN C. · 2012 to 2014
$487k
NCI NIH HHS P30 CA014089NCI NIH HHS U19 CA148107NIEHS NIH HHS P30 ES007048NIEHS NIH HHS R01 ES019876NIEHS NIH HHS R21 ES020794NIEHS NIH HHS U01 ES015090
6 · The paper itself

Abstract

In a commentary on the evolution of the field of genetic epidemiology over the past 10 years, Khoury et al. (2011) highlight several important developments, including the emergence of evaluation of genetic discoveries for their translational utility and of standards for reporting genetic findings. In this companion to their article, I reflect on some of these trends and speculate about the direction of the field in the future. In particular, I emphasize the opportunities posed by novel technologies like next-generation sequencing and the biological insights emerging from integrative genomics, but I also question the utility of large consortia. The basic principles of population-based research and the importance of taking account of the environment remain important to the field.

Indexed as

Databases, GeneticGenetics, PopulationGenome, HumanPublic HealthHumansMolecular Epidemiology

Identifiers

PMID22311722
PMCPMC3781009

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.