Evidence map›Paper›PMID 32831138›Full record

ArticleGenome biology2020

GBAT: a gene-based association test for robust detection of trans-gene regulation.

Xuanyao Liu, Joel A Mefford, Andrew Dahl, Yuan He, Meena Subramaniam, Alexis Battle, Alkes L Price, Noah Zaitlen

Abstract read
In one paragraph

Article in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
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  5. bioRxiv : the preprint server for biology · 2025
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  15. Efficient Estimation and Applications of Cross-Validated Genetic Predictions to Polygenic Risk Scores and Linear Mixed Models.Journal of computational biology : a journal of computational molecular cell biology · 2020
    Article
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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

8 authors.

Xuanyao LiuDepartment of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA. xuanyao@uchicago.edu.
Joel A MeffordDepartments of Neurology and Computational Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Andrew DahlDepartments of Neurology and Computational Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Yuan HeDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
Meena SubramaniamDepartments of Neurology and Computational Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Alexis BattleDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
Alkes L PriceDepartment of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA.
Noah ZaitlenDepartments of Neurology and Computational Medicine, University of California Los Angeles, Los Angeles, CA, USA. NZaitlen@mednet.ucla.edu.

Funding

Methods for Genome-wide Association Studies in Admixed PopulationsR01HG006399 · NHGRI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI PRICE, ALKES L · 2011 to 2024
$6.3M
Joint genomic and statistical analyses of schizophrenia and bipolar to decipher genetic susceptibilityR01MH115676 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Roel A Ophoff, Bogdan Pasaniuc · 2018 to 2026
$5.9M
(PQ3) A functional genomic approach to identification and interpretation of germline-tumor genetic interactionsR01CA227237 · NCI · DANA-FARBER CANCER INST · PI GUSEV, ALEXANDER, ZAITLEN, NOAH A · 2018 to 2022
$3.5M
Statistical Methods to Study the Genetic Basis and Mechanisms of Trans Gene RegulationR35GM138084 · NIGMS · UNIVERSITY OF CHICAGO · PI LIU, XUANYAO · 2020 to 2024
$2.0M
NCI NIH HHS R01 CA227237NHGRI NIH HHS R01 HG006399NIGMS NIH HHS R35 GM138084NIMH NIH HHS MH115676NIMH NIH HHS R01 MH115676
6 · The paper itself

Abstract

The observation that disease-associated genetic variants typically reside outside of exons has inspired widespread investigation into the genetic basis of transcriptional regulation. While associations between the mRNA abundance of a gene and its proximal SNPs (cis-eQTLs) are now readily identified, identification of high-quality distal associations (trans-eQTLs) has been limited by a heavy multiple testing burden and the proneness to false-positive signals. To address these issues, we develop GBAT, a powerful gene-based pipeline that allows robust detection of high-quality trans-gene regulation signal.

Indexed as

Gene Expression RegulationGenome-Wide Association StudyGene Expression ProfilingGene Regulatory NetworksGenetic TestingGenotypeHumansPolymorphism, Single NucleotideRNA, MessengerRNA, MessengereQTLsGene expressiontrans-eQTLstrans gene regulation

Identifiers

PMID32831138
PMCPMC7444084

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Registered trials

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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.