Evidence map›Paper›PMID 42780028›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Genetically Predicted Blood DNA Methylation Reveals Putative Regulatory Signals Associated with ALS Risk.

Tianying Zhao, Mariah Hoffman, Gang Wu, Veronique Belzil

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

4 authors.

Tianying ZhaoVanderbilt ALS Research Center, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-0103-1867
Mariah HoffmanVanderbilt ALS Research Center, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-0509-3408
Gang WuCenter for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, TN, USA.ORCID 0000-0002-1678-5864
Veronique BelzilVanderbilt ALS Research Center, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0003-4450-5396

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder whose genetic architecture and underlying molecular mechanisms remain incompletely understood, particularly in sporadic disease. To investigate whether genetically regulated DNA methylation may help interpret ALS susceptibility, we conducted a methylome-wide association study (MWAS) of genetically predicted blood DNA methylation using the PrediXcan framework. CpG-specific prediction models developed in the ARIES and Understanding Society cohorts were applied to ALS genome-wide association study (GWAS) summary statistics from 27,205 cases and 110,881 controls of European ancestry. In total, genetically predicted methylation at 192,378 unique CpG sites was evaluated using S-PrediXcan. At a nominal threshold of p < 0.05, 3,741 CpGs were associated with ALS risk using ARIES models and 13,127 using Understanding Society models. After Bonferroni correction, 25 CpGs across eight genomic regions remained significantly associated with ALS risk. These included signals near established ALS and ALS-frontotemporal dementia genes and loci, including

Indexed as

Amyotrophic lateral sclerosisepigeneticsgenetic regulationmethylome-wide association studytranscriptome-wide association study

Identifiers

PMID42780028
PMCPMC13596684

What OpenQuestion holds

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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.