Evidence map›Paper›PMID 36229124›Full record

ArticleGenome research2022

Diverse environmental perturbations reveal the evolution and context-dependency of genetic effects on gene expression levels.

Amanda J Lea, Julie Peng, Julien F Ayroles

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed, 27 citations in OpenAlex.

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  4. Choice of phenotype scale is critical in biobank-based G×E tests.bioRxiv : the preprint server for biology · 2026
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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.

Amanda J LeaDepartment of Ecology and Evolution, Princeton University, Princeton, New Jersey 08544, USA.ORCID 0000-0002-8827-2750
Julie PengDepartment of Ecology and Evolution, Princeton University, Princeton, New Jersey 08544, USA.
Julien F AyrolesDepartment of Ecology and Evolution, Princeton University, Princeton, New Jersey 08544, USA.ORCID 0000-0001-8729-0511
Princeton University · US

Funding

A path to personalized phenotypic prediction: unlocking the context-dependency of allelic effectsR35GM124881 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Julien Ayroles · 2017 to 2026
$3.7M
Improved methods for inference of genotype-specific response to environmental toxinsR01ES029929 · NIEHS · PRINCETON UNIVERSITY · PI AYROLES, JULIEN, CLARK, ANDREW G · 2019 to 2023
$3.6M
NIEHS NIH HHS R01 ES029929NIGMS NIH HHS R35 GM124881
6 · The paper itself

Abstract

There is increasing appreciation that, in addition to being shaped by an individual's genotype and environment, most complex traits are also determined by poorly understood interactions between these two factors. So-called "genotype × environment" (G×E) interactions remain difficult to map at the organismal level but can be uncovered using molecular phenotypes. To do so at large scale, we used TM3'seq to profile transcriptomes across 12 cellular environments in 544 immortalized B cell lines from the 1000 Genomes Project. We mapped the genetic basis of gene expression levels across environments and revealed a context-dependent genetic architecture: The average heritability of gene expression levels increased in treatment relative to control conditions, and on average, each treatment revealed new expression quantitative trait loci (eQTLs) at 11% of genes. Across our experiments, 22% of all identified eQTLs were context-dependent, and this group was enriched for trait- and disease-associated loci. Further, evolutionary analyses suggested that positive selection has shaped G×E loci involved in responding to immune challenges and hormones but not to man-made chemicals. We hypothesize that this reflects a reduced opportunity for selection to act on responses to molecules recently introduced into human environments. Together, our work highlights the importance of considering an exposure's evolutionary history when studying and interpreting G×E interactions, and provides new insight into the evolutionary mechanisms that maintain G×E loci in human populations.

Indexed as

Quantitative Trait LociTranscriptomeGenotypeHumansPhenotype

Identifiers

PMID36229124
PMCPMC9712631
OpenAlexW4305014062

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.