Evidence map›Paper›PMID 31051098›Full record

ArticleCell2019

Trans Effects on Gene Expression Can Drive Omnigenic Inheritance.

Xuanyao Liu, Yang I Li, Jonathan K Pritchard

Abstract read
In one paragraph

Article in Cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 340 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
340citing papers in PubMed, 3 pooled it
–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

340 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. The role ofEpigenetics · 2026
    Review
  5. Review
  6. Review
  7. Article
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  9. Genetic architectures of brain-related traits are shaped by strong selective constraints.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  18. Review
  19. Article
  20. Optimized phenotype definitions boost GWAS power.PLoS computational biology · 2026
    Article

280 more citing papers are in PubMed but not listed here.

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.

Xuanyao LiuSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 60637, USA. Electronic address: xuanyao@uchicago.edu.
Yang I LiSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 60637, USA; Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA. Electronic address: yangili1@uchicago.edu.
Jonathan K PritchardDepartments of Biology and Genetics and Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA. Electronic address: pritch@stanford.edu.

Funding

Integration of genetic association mapping and functional data to elucidate genetic mechanisms of diseaseR01HG008140 · NHGRI · STANFORD UNIVERSITY · PI JONATHAN K PRITCHARD · 2016 to 2026
$7.3M
Decoding the regulatory architecture of the human genome across cell types, individuals and diseaseU01HG009431 · NHGRI · STANFORD UNIVERSITY · PI PRITCHARD, JONATHAN K · 2017 to 2021
$3.5M
Howard Hughes Medical InstituteNHGRI NIH HHS R01 HG008140NHGRI NIH HHS U01 HG009431
6 · The paper itself

Abstract

Early genome-wide association studies (GWASs) led to the surprising discovery that, for typical complex traits, most of the heritability is due to huge numbers of common variants with tiny effect sizes. Previously, we argued that new models are needed to understand these patterns. Here, we provide a formal model in which genetic contributions to complex traits are partitioned into direct effects from core genes and indirect effects from peripheral genes acting in trans. We propose that most heritability is driven by weak trans-eQTL SNPs, whose effects are mediated through peripheral genes to impact the expression of core genes. In particular, if the core genes for a trait tend to be co-regulated, then the effects of peripheral variation can be amplified such that nearly all of the genetic variance is driven by weak trans effects. Thus, our model proposes a framework for understanding key features of the architecture of complex traits.

Indexed as

Databases, GeneticGene ExpressionGene Expression ProfilingGene Expression RegulationGenetic VariationGenome-Wide Association StudyHeredityHumansModels, TheoreticalMultifactorial InheritancePhenotypePolymorphism, GeneticQuantitative Trait Locicis-eQTLscomplex traitscore genesgenetic architectureheritabilityomnigenic modelpolygenic modeltrans-eQTLs

Identifiers

PMID31051098
PMCPMC6553491

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.