Cited by 106Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and AnimalsGenetic and phenotypic traits in livestock

Dynamic Role of trans Regulation of Gene Expression in Relation to Complex Traits

Open access
Yao, Chen, Joehanes, Roby, Johnson, Andrew D., Huan, Tianxiao, Liu, Chunyu, Freedman, Jane E., Munson, Peter J., Hill, David E. +2 more·2017·The American Journal of Human Genetics

Abstract

Identifying causal genetic variants and understanding their mechanisms of effect on traits remains a challenge in genome-wide association studies (GWASs). In particular, how genetic variants (i.e., trans-eQTLs) affect expression of remote genes (i.e., trans-eGenes) remains unknown. We hypothesized that some trans-eQTLs regulate expression of distant genes by altering the expression of nearby genes (cis-eGenes). Using published GWAS datasets with 39,165 single-nucleotide polymorphisms (SNPs) associated with 1,960 traits, we explored whole blood gene expression associations of trait-associated SNPs in 5,257 individuals from the Framingham Heart Study. We identified 2,350 trans-eQTLs (at p < 10-7); more than 80% of them were found to have cis-associated eGenes. Mediation testing suggested that for 35% of trans-eQTL-trans-eGene pairs in different chromosomes and 90% pairs in the same chromosome, the disease-associated SNP may alter expression of the trans-eGene via cis-eGene expression. In addition, we identified 13 trans-eQTL hotspots, affecting from ten to hundreds of genes, suggesting the existence of master genetic regulators. Using causal inference testing, we searched causal variants across eight cardiometabolic traits (BMI, systolic and diastolic blood pressure, LDL cholesterol, HDL cholesterol, total cholesterol, triglycerides, and fasting blood glucose) and identified several cis-eGenes (ALDH2 for systolic and diastolic blood pressure, MCM6 and DARS for total cholesterol, and TRIB1 for triglycerides) that were causal mediators for the corresponding traits, as well as examples of trans-mediators (TAGAP for LDL cholesterol). The finding of extensive evidence of genome-wide mediation effects suggests a critical role of cryptic gene regulation underlying many disease traits.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.ajhg.2017.02.003

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Existing affinity-based proteomics studies exploring trans-pQTL often interpret pleiotropic trans-pQTL as biologically relevant signals, which may help confirm appropriate assay performance.

    “Existing affinity-based proteomics studies exploring trans-pQTL often interpret pleiotropic trans-pQTL as biologically relevant signals, which may help confirm appropriate assay performance36,37.”

    From Cross-ancestry comparison of aptamer and antibody protein measures (2026) · cites this paper as [37]

    The supplied passage and the indexed results contain only URLs, with no section or page text addressing proteomics, pleiotropic trans-pQTL, or assay performance. Searches for those terms and related paraphrases found no passage that could verify the claim from our copy. (LLM, conf=0.72)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Yao, C., Joehanes, R., Johnson, A. D., Huan, T., Liu, C., Freedman, J. E., Munson, P. J., Hill, D. E., Vidal, M., & Levy, D.
Affiliations
  • National Institutes of Health (US)
  • University of Massachusetts Chan Medical School (US)
  • Harvard University (US)
Corresponding author
Levy, Daniel
Venue
The American Journal of Human Genetics
Publisher
Elsevier BV
Published
2017-04
Volume
100
Issue
4
Pages
571-580
ISSN
0002-9297 (ISSN-L)
OpenAlex
W2592591401
Cited by
106
References
7
Citations by year
2026: 5 · 2025: 11 · 2024: 10 · 2023: 9 · 2022: 10 · 2021: 13 · 2020: 17 · 2019: 14 · 2018: 12 · 2017: 4
FWCI
8.33
Type
journal article
Language
en
Update notices
erratum (2017-06-01)
Open access
Locations
  • The American Journal of Human Genetics (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • The Journal of the American Medical Association (JAMA) Network (American Medical Association) (submittedVersion)
Funders
  • NIH (N01-HC-25195)
  • Division of Intramural Research, National Heart, Lung, and Blood Institute, NIH
  • American Heart Association (AHA) Cardiovascular Genome-Phenome Study (CVGPS) (15CVGPS23430000)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
Keywords
trans-eQTL, cis-eQTL, gene expression regulation, complex traits, mediation analysis, causal inference, cardiometabolic traits, whole blood gene expression, ALDH2, MCM6, DARS, TRIB1, TAGAP, single nucleotide polymorphisms, Framingham Heart Study
MeSH terms
Clinical Studies as Topic, Cardiovascular Diseases, Female, Humans, Male, Human Genome Project, Polymorphism, Single Nucleotide, Gene Expression Profiling, Quantitative Trait Loci, Genome-Wide Association Study, Protein Interaction Maps

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review