Evidence map›Paper›PMID 41932315›Full record

ArticleAmerican journal of human genetics2026

Associations of genetic variants with gene expression factors reveal biological pathways underlying complex traits.

Xiaotong Sun, Nathan LaPierre, Jing Gu, Wenchang Tan, Xin He

Abstract read
In one paragraph

Article in American journal of human genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xiaotong SunDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.
Nathan LaPierreDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.
Jing GuDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.
Wenchang TanMechanics and Engineering Science, College of Engineering, Peking University, Beijing, China.
Xin HeDepartment of Human Genetics, University of Chicago, Chicago, IL, USA. Electronic address: xinhe@uchicago.edu.

Funding

Project-003U19AI162310 · NIAID · UNIVERSITY OF CHICAGO · PI Marcelo A. Nobrega · 2021 to 2026
$10.6M
Integrative Approaches to Understanding Genetic Basis of Neuropsychiatric DiseasesR01MH110531 · NIMH · UNIVERSITY OF CHICAGO · PI HE, XIN · 2017 to 2022
$3.2M
Discovery and interrogation of genetic regulatory variation impacting Atrial Fibrillation riskR01HL163523 · NHLBI · UNIVERSITY OF CHICAGO · PI HE, XIN, MOSKOWITZ, IVAN PAUL · 2022 to 2025
$3.1M
Genetic variation of N6-methyladenosine (m6A) RNA modification in immune cells and its contribution to human diseasesR01AI175554 · NIAID · UNIVERSITY OF CHICAGO · PI Luis Bruno Barreiro, Xin He · 2024 to 2026
$2.3M
Genetic Mapping of m6A and Pseudouridine RNA Modifications in the Aging Human Brain and Their Impact on Alzheimer's DiseaseR01AG095819 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Xin He, Julia TCW · 2025 to 2026
$1.7M
NHLBI NIH HHS R01 HL163523NIAID NIH HHS R01 AI175554NIAID NIH HHS U19 AI162310NIA NIH HHS R01 AG095819NIMH NIH HHS R01 MH110531
6 · The paper itself

Abstract

Genome-wide association studies (GWASs) have mapped a large number of variants associated with common traits and diseases. To translate these associations into mechanistic knowledge, it is important to understand the downstream genes and biological processes that mediate the effects of these variants on phenotypes. One strategy to link trait-associated genetic variants with their downstream target genes is trans-expression quantitative trait locus (trans-eQTL) mapping. Nevertheless, due to the small effects of trans-eQTLs and the large multiple testing burden arising from the vast number of SNP-gene combinations, it is challenging to identify trans-eQTLs in practice. In this work, we propose a different strategy, focusing on the genetic effects of variants on "expression factors," which were derived from expression data and serve as proxies for activities of biological pathways. We found that variants associated with common immune traits are frequently associated in trans with the expression factors derived from curated pathways, suggesting that variants with phenotypic effects often perturb the transcriptional networks. Using a newly developed statistical strategy, the effect consistency test, we identified dozens of pathways that may mediate the effects of trait-associated variants on immune phenotypes. Our study thus provided a new framework to link genetic variations to phenotypes.

Indexed as

Gene Expression RegulationGene Regulatory NetworksGenetic VariationMultifactorial InheritancePolymorphism, Single NucleotideQuantitative Trait LociGenome-Wide Association StudyHumansPhenotypeeffect consistencyexpression factorspathway analysistrans effects

Identifiers

PMID41932315
PMCPMC13049358

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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.