Evidence map›Paper›PMID 30110940›Full record

ArticleGenes2018

Pervasive Modulation of Obesity Risk by the Environment and Genomic Background.

Sini Nagpal, Greg Gibson, Urko M Marigorta

Open access · goldAbstract read
In one paragraph

Article in Genes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Dysfunctional VLDL metabolism in MASLD.npj metabolic health and disease · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Gene-Environment Interactions on Body Fat Distribution.International journal of molecular sciences · 2019
    Review
  12. 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

3 authors at 1 institution in 1 country.

Sini NagpalCenter for Integrative Genomics, Georgia Institute of Technology, Atlanta, GA 30332, USA. sini.nagpal@gatech.edu.
Greg GibsonCenter for Integrative Genomics, Georgia Institute of Technology, Atlanta, GA 30332, USA. ggibson.gt@gmail.com.ORCID 0000-0002-5352-5877
Urko M MarigortaCenter for Integrative Genomics, Georgia Institute of Technology, Atlanta, GA 30332, USA. urkotxapela@gmail.com.ORCID 0000-0002-9087-6609
Georgia Institute of Technology · US

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

The prevalence of the so-called diseases of affluence, such as type 2 diabetes or hypertension, has increased dramatically in the last two generations. Although genome-wide association studies (GWAS) have discovered hundreds of genes involved in disease etiology, the sudden increase in disease incidence suggests a major role for environmental risk factors. Obesity constitutes a case example of a modern trait shaped by contemporary environment, although with considerable debates about the extent to which gene-by-environment (G×E) interactions accentuate obesity risk in individuals following obesogenic lifestyles. Although interaction effects have been robustly confirmed at the

Indexed as

allele expressivitybody mass indexdiseases of affluenceepistasisgene-by-environment interactionsgenome-wide association studies (GWAS)polygenic scores (PGS)UK Biobank

Identifiers

PMID30110940
PMCPMC6115725
OpenAlexW2886240079

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.