Evidence map›Paper›PMID 41394596›Full record

ArticlebioRxiv : the preprint server for biology2025

mfSuSiE enables multi-cell-type fine-mapping and multi-omic integration of chromatin accessibility QTLs in aging brain.

Anjing Liu, Philip L De Jager, David Bennett, Alzheimer’s Disease Functional Genomics Consortium, Gao Wang, William R P Denault

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

6 authors.

Anjing LiuCenter for Statistical Genetics, The Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA.
Philip L De JagerCenter for Translational & Computational Neuroimmunology, Columbia University, New York, NY, USA.
David BennettRush Alzheimer's Disease Center and Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA.
Alzheimer’s Disease Functional Genomics Consortium
Gao WangCenter for Statistical Genetics, The Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA.
William R P DenaultOslo Centre for Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway.

Funding

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
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
NIA NIH HHS R01 AG076901NIA NIH HHS R01 AG086467
6 · The paper itself

Abstract

Molecular quantitative trait locus (QTL) studies increasingly profile chromatin accessibility, histone modifications, DNA methylation, RNA modifications such as N6-methyladenosine (m6A), and transcription across multiple cell types using high-throughput sequencing, generating dense base-pair-resolved measurements. The conventional approach of testing each variant against each molecular feature independently suffers from severe multiple testing burden and ignores linkage disequilibrium and spatial correlation. Existing fine-mapping methods only partially address these challenges and are sub-optimal for analyzing such datasets: multivariate approaches such as

Identifiers

PMID41394596
PMCPMC12697552

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.