Evidence map›Paper›PMID 27537407›Full record

ArticlePloS one2016

Evidence of Polygenic Adaptation in the Systems Genetics of Anthropometric Traits.

Renato Polimanti, Bao Zhu Yang, Hongyu Zhao, Joel Gelernter

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Global impact of micronutrients in modern human evolution.American journal of human genetics · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. ADH1B: From alcoholism, natural selection, and cancer to the human phenome.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2018
    Review
  8. Article
  9. Article
  10. Article
  11. 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

4 authors at 3 institutions in 1 country.

Renato PolimantiDepartment of Psychiatry, Yale University School of Medicine, West Haven, Connecticut, United States of America.
Bao Zhu YangDepartment of Psychiatry, Yale University School of Medicine, West Haven, Connecticut, United States of America.
Hongyu ZhaoDepartment of Biostatistics, Yale University School of Public Health, New Haven, Connecticut, United States of America.
Joel GelernterDepartment of Psychiatry, Yale University School of Medicine, West Haven, Connecticut, United States of America.
Yale University · USConnecticut Health Foundation · USVA Connecticut Healthcare System · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Pathology Tissue Services Shared ResourceP30CA016359 · NCI · YALE UNIVERSITY · PI MEGAN C KING · 1985 to 2026
$85.0M
Deep sequencing studies for cannabis and stimulant dependenceR01DA030976 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI EHLERS, CINDY L, GELERNTER, JOEL · 2010 to 2014
$16.5M
Sex-specific analysis of opioid dependence GWAS and beyondR01DA012690 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2000 to 2017
$14.0M
GENETICS OF COCAINE DEPENDENCER01DA012849 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 1999 to 2010
$11.5M
Linkage Disequilibrium Studies of Alcohol DependenceR01AA011330 · NIAAA · YALE UNIVERSITY · PI GELERNTER, JOEL · 1997 to 2013
$6.4M
Genetics of Alcohol Dependence in African-AmericansR01AA017535 · NIAAA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2009 to 2013
$3.0M
NCATS NIH HHS UL1 TR001863NCI NIH HHS P30 CA016359NIAAA NIH HHS R01 AA011330NIAAA NIH HHS R01 AA017535NIDA NIH HHS R01 DA012690NIDA NIH HHS R01 DA012849NIDA NIH HHS R01 DA030976
6 · The paper itself

Abstract

Many signals of natural selection have been identified in the human genome. However, except for some single-locus mechanisms, most molecular processes generating these adaptation signals are still unknown. We developed an approach that integrates datasets related to genome-wide association studies (GWAS) with information about systems biology and genetic signatures of natural selection to identify evidence of polygenic adaptation. Specifically, we focused on five anthropometric measurements: body mass index (BMI), height, waist-to-hip ratio adjusted for BMI (WHR), and waist circumference adjusted for BMI (WC), and sex differences for WHR and WC. We performed an enrichment analysis for signals of natural selection in protein interaction networks associated with anthropometric traits in European populations. The adaptation signals-enriched gene networks associated highlighted epistatic interactions in the context of polygenic selection for the investigated traits. These polygenic mechanisms indicated intriguing selective mechanisms related to the anthropometric traits: adult locomotory behavior for BMI, infection resistance for height, interplay between lipid transport and immune systems for WHR, and female-specific polygenic adaptation for WHR and WC. In conclusion, we observed evidence of polygenic adaptation in the context of systems genetics of anthropometric traits that indicates polygenic mechanisms related to the natural selection in European populations.

Indexed as

Adaptation, PhysiologicalMultifactorial InheritanceSelection, GeneticAnthropometryBody Mass IndexFemaleGenome, HumanGenome-Wide Association StudyHumansLinkage DisequilibriumMaleProtein Interaction MapsSex CharacteristicsSystems BiologyWaist CircumferenceWaist-Hip Ratio

Identifiers

PMID27537407
PMCPMC4990182
OpenAlexW2515648256

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.