Evidence map›Paper›PMID 42238474›Full record

ArticlemedRxiv : the preprint server for health sciences2026

A Multi-Context Regulome-Wide Association Atlas for Genetic Studies of Aging Brain Disorders.

Chunming Liu, Anqi Wang, Hao Sun, Kaixuan Luo, Sheng Qian, Yining Li, Daniel Nachun, Xin He, Philip De Jager, David Bennett and 5 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Chunming LiuInstitute for Human Genetics, Clemson University, Greenwood, SC, USA.
Anqi WangCenter for Statistical Genetics, The Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA.
Hao SunCenter for Statistical Genetics, The Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA.
Kaixuan LuoDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.ORCID 0000-0003-1515-5737
Sheng QianDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.
Yining LiCenter for Statistical Genetics, The Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA.
Daniel NachunDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Xin HeDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.
Philip De JagerCenter for Translational & Computational Neuroimmunology, Columbia University, New York, NY, USA.ORCID 0000-0002-8057-2505
David BennettRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.
Minghui WangDepartment of Genetics and Genomic Sciences, Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Carlos CruchagaWashington University School of Medicine in St. Louis, St. Louis, MO, USA.ORCID 0000-0002-0276-2899
Alzheimer’s Disease Functional Genomics Consortium
Gao WangCenter for Statistical Genetics, The Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA.
Fabio MorganteInstitute for Human Genetics, Clemson University, Greenwood, SC, USA.ORCID 0000-0003-3285-1988

Funding

Integrative Network Biology Approaches to Identify, Characterize and Validate Molecular Subtypes in Alzheimer's DiseaseU01AG046170 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WANG, MINGHUI, ZHANG, BIN · 2013 to 2022
$26.0M
Statistical Methods for Gene Regulatory Analysis From Single Cell Genomics DataP20GM139769 · NIGMS · CLEMSON UNIVERSITY · PI ANHOLT, ROBERT R. H, ARNO, GAVIN · 2021 to 2025
$10.8M
Alzheimer variants: Propagation of shared functional changes across cellular networksU01AG072572 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DE JAGER, PHILIP L, ST GEORGE-HYSLOP, PETER HENRY · 2021 to 2025
$8.5M
FunGen-xQTL: Unraveling the genetic basis of molecular functions in Alzheimer's DiseaseR01AG086467 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Julia TCW, Gao Wang · 2025 to 2026
$7.2M
GENETIC MODIFIERS OF CEREBROSPINAL FLUID TREM2 IN ALZHEIMER'S DISEASERF1AG058501 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS, PICCIO, LAURA · 2018 to 2018
$3.5M
Multiomics data integration methods to discover putative causal variants, genes and patient heterogeneity for Alzheimers diseaseR01AG076901 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Gao Wang · 2023 to 2026
$2.4M
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
Understanding and using gene-by-context interactions in human complex trait geneticsR35GM146868 · NIGMS · CLEMSON UNIVERSITY · PI Fabio Morgante · 2022 to 2026
$1.9M
Dissect regulation of glial nets surrounding amyloid plaques in Alzheimer's diseaseRF1AG077828 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FRIEDEL, ROLAND HORST, WANG, MINGHUI · 2022 to 2022
$1.8M
Novel directions for investigating the role of VGF in comorbid Major Depressive Disorder and Alzheimer's diseaseR01AG093879 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MICHELLE E EHRLICH, STEPHEN R SALTON · 2025 to 2026
$1.7M
Systematic identification of genetic modifiers of dysfunctional neuronal networks in Alzheimer's diseaseR21AG077168 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LI, AIQUN, WANG, MINGHUI · 2022 to 2022
$465k
NIAID NIH HHS R01 AI175554NIA NIH HHS R01 AG076901NIA NIH HHS R01 AG086467NIA NIH HHS R01 AG093879NIA NIH HHS R21 AG077168NIA NIH HHS RF1 AG058501NIA NIH HHS RF1 AG077828NIA NIH HHS U01 AG046170NIA NIH HHS U01 AG072572NIGMS NIH HHS P20 GM139769NIGMS NIH HHS R35 GM146868
6 · The paper itself

Abstract

Genome-wide association studies have identified risk loci for aging brain disorders, but mechanistic interpretation depends on linking these loci to genes and to the tissues, cell types, and molecular modalities in which they act. Here, we introduce FunGen-xQTL Multi-Brain (FGMB), a multi-context atlas of

Identifiers

PMID42238474
PMCPMC13228756

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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.