Evidence map›Paper›PMID 28285767›Full record

ArticleAmerican journal of human genetics2017

Large-Scale trans-eQTLs Affect Hundreds of Transcripts and Mediate Patterns of Transcriptional Co-regulation.

Boel Brynedal, JinMyung Choi, Towfique Raj, Robert Bjornson, Barbara E Stranger, Benjamin M Neale, Benjamin F Voight, Chris Cotsapas

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
7.6field-weighted citation impact, top 2% 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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 99 citations in OpenAlex.

  1. Pooled it
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  6. medRxiv : the preprint server for health sciences · 2026
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  19. Genetic Elements at the Alpha-Synuclein Locus.Frontiers in neuroscience · 2022
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Boel BrynedalDepartment of Neurology, Yale University School of Medicine, New Haven, CT 06520, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, USA.
JinMyung ChoiDepartment of Neurology, Yale University School of Medicine, New Haven, CT 06520, USA.
Towfique RajProgram in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, USA; Division of Genetics, Brigham and Women's Hospital, Boston, MA 02115, USA; Department of Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA.
Robert BjornsonDepartment of Computer Science, Yale University, New Haven, CT 06510, USA.
Barbara E StrangerInstitute for Genomics and Systems Biology The University of Chicago, Chicago, IL 60637, USA.
Benjamin M NealeProgram in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, USA; Harvard Medical School, Boston, MA 02115, USA; Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA.
Benjamin F VoightDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute of Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Chris CotsapasDepartment of Neurology, Yale University School of Medicine, New Haven, CT 06520, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06520, USA. Electronic address: cotsapas@broadinstitute.org.
Yale University · USBroad Institute · USHarvard University · USTranslational Therapeutics (United States) · USUniversity of Chicago · US

Funding

Algorithms to identify non-coding mutational burden and disease-relevant pathwaysR01DK101478 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI VOIGHT, BENJAMIN FRANKLIN · 2014 to 2018
$2.9M
YALE BIOMEDICAL SUPERCOMPUTER: NEUROSCIENCES10RR019895 · NCRR · YALE UNIVERSITY · PI WILLIAMS, KENNETH ROBERT · 2004 to 2004
$1.6M
High Performance Computing Instrumentation for Yale University Biomedical HPC CenS10RR029676 · NCRR · YALE UNIVERSITY · PI BJORNSON, ROBERT DEAN · 2011 to 2011
$588k
NCRR NIH HHS S10 RR019895NCRR NIH HHS S10 RR029676NIDDK NIH HHS R01 DK101478
6 · The paper itself

Abstract

Efforts to decipher the causal relationships between differences in gene regulation and corresponding differences in phenotype have been stymied by several basic technical challenges. Although detecting local, cis-eQTLs is now routine, trans-eQTLs, which are distant from the genes of origin, are far more difficult to find because millions of SNPs must currently be compared to thousands of transcripts. Here, we demonstrate an alternative approach: we looked for SNPs associated with the expression of many genes simultaneously and found that hundreds of trans-eQTLs each affect hundreds of transcripts in lymphoblastoid cell lines across three African populations. These trans-eQTLs target the same genes across the three populations and show the same direction of effect. We discovered that target transcripts of a high-confidence set of trans-eQTLs encode proteins that interact more frequently than expected by chance, are bound by the same transcription factors, and are enriched for pathway annotations indicative of roles in basic cell homeostasis. We thus demonstrate that our approach can uncover trans-acting transcriptional control circuits that affect co-regulated groups of genes: a key to understanding how cellular pathways and processes are orchestrated.

Indexed as

Gene Expression RegulationQuantitative Trait LociTranscription, GeneticAlgorithmsBlack PeopleCell LineGene Expression ProfilingHapMap ProjectHumansPolymorphism, Single NucleotideProtein Interaction Mapscross phenotype meta analysismaster regulatorregulatory networktranscriptiontrans-eQTL

Identifiers

PMID28285767
PMCPMC5384037
OpenAlexW2594266864

What OpenQuestion holds

Textmetadata
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.