Evidence map›Paper›PMID 34343516›Full record

ReviewThe American journal of medicine2021

Air, Land, and Sea: Gene-Environment Interaction in Chronic Disease.

Russell A Wilke, Eric A Larson

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in The American journal of medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% of its field
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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Russell A WilkeProfessor and Vice Chair, Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls; Professor and Chair, Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls. Electronic address: russell.wilke@usd.edu.
Eric A LarsonProfessor and Vice Chair, Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls; Professor and Chair, Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls.
University of South Dakota · US

Funding

Integrated, Individualized, Intelligent Prescribing (I3P)U01HG007253 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LEVY, MIA A., PETERSON, JOSEPH F. · 2014 to 2018
$4.6M
NHGRI NIH HHS U01 HG007253
6 · The paper itself

Abstract

Each of us reflects a unique convergence of DNA and the environment. Over the past 2 decades, huge biobanks linked to electronic medical records have positioned the clinical and scientific communities to understand the complex genetic architecture underlying many common diseases. Although these efforts are producing increasingly accurate gene-based risk prediction algorithms for use in routine clinical care, the algorithms often fail to include environmental factors. This review explores the concept of heritability (genetic vs nongenetic determinants of disease), with emphasis on the role of environmental factors as risk determinants for common complex diseases influenced by air and water quality. Efforts to define patient exposure to specific toxicants in practice-based data sets will deepen our understanding of diseases with low heritability, and improved land management practices will reduce the burden of disease.

Indexed as

Air PollutionEnvironmental ExposureGene-Environment InteractionWater QualityHumansPulmonary Disease, Chronic ObstructiveRenal Insufficiency, ChronicToxicogeneticsAir qualityPhenotypeToxicantToxicogeneticsWater quality

Identifiers

PMID34343516
PMCPMC8922305
OpenAlexW3192551640

What OpenQuestion 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 OpenQuestion graph.