Evidence map›Paper›PMID 40385406›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Integrative multi-omics QTL colocalization maps regulatory architecture in aging human brain.

Xuewei Cao, Haochen Sun, Ru Feng, Rahul Mazumder, Carlos F Buen Abad Najar, Yang I Li, Philip L de Jager, David Bennett, Alzheimer’s Disease Functional Genomics Consortium, Kushal K Dey and 1 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

11 authors.

Xuewei CaoCenter for Statistical Genetics, The Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA.ORCID 0000-0001-8370-0309
Haochen SunCenter for Statistical Genetics, The Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA.
Ru FengCenter for Statistical Genetics, The Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA.
Rahul MazumderOperations Research Center, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0003-1384-9743
Carlos F Buen Abad NajarSection of Genetic Medicine, University of Chicago, Chicago, IL, USA.ORCID 0009-0000-4246-5154
Yang I LiSection of Genetic Medicine, University of Chicago, Chicago, IL, USA.ORCID 0000-0002-0736-251X
Philip L de JagerDepartment of Neurology, Columbia University, New York, NY, USA.ORCID 0000-0002-8057-2505
David BennettRush Alzheimer's Disease Center and Department of Neurological Sciences, Rush University Medical Center, Chicago, IL.ORCID 0000-0003-3689-554X
Alzheimer’s Disease Functional Genomics Consortium
Kushal K DeyComputational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-3520-2345
Gao WangCenter for Statistical Genetics, The Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA.ORCID 0000-0001-9336-402X

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
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
Computational genomics approaches to study mechanisms and function of mRNA splicingR35GM153249 · NIGMS · UNIVERSITY OF CHICAGO · PI Yang Li · 2024 to 2026
$1.2M
Decoding disease-critical genomic architecture using multimodal single-cell omics dataR01HG014008 · NHGRI · SLOAN-KETTERING INST CAN RESEARCH · PI Kushal Kumar Dey · 2025 to 2026
$1.1M
New approaches for leveraging single-cell data to identify disease-critical genes and gene setsR00HG012203 · NHGRI · SLOAN-KETTERING INST CAN RESEARCH · PI DEY, KUSHAL KUMAR · 2023 to 2025
$747k
NCI NIH HHS P30 CA008748NHGRI NIH HHS R00 HG012203NHGRI NIH HHS R01 HG014008NIA NIH HHS R01 AG076901NIGMS NIH HHS R35 GM153249
6 · The paper itself

Abstract

Multi-trait QTL (xQTL) colocalization has shown great promises in identifying causal variants with shared genetic etiology across multiple molecular modalities, contexts, and complex diseases. However, the lack of scalable and efficient methods to integrate large-scale multi-omics data limits deeper insights into xQTL regulation. Here, we propose

Identifiers

PMID40385406
PMCPMC12083576

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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.