Evidence map›Paper›PMID 37270501›Full record

ArticleClinical epigenetics2023

Novel insights into systemic sclerosis using a sensitive computational method to analyze whole-genome bisulfite sequencing data.

Jeffrey C Y Yu, Yixiao Zeng, Kaiqiong Zhao, Tianyuan Lu, Kathleen Oros Klein, Inés Colmegna, Maximilien Lora, Sahir R Bhatnagar, Andrew Leask, Celia M T Greenwood and 1 more

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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 at 4 institutions in 1 country.

Jeffrey C Y YuMcGill University, 845 Sherbrooke St W, Montreal, H3A 0G4, Canada.
Yixiao ZengMcGill University, 845 Sherbrooke St W, Montreal, H3A 0G4, Canada.
Kaiqiong ZhaoMcGill University, 845 Sherbrooke St W, Montreal, H3A 0G4, Canada.
Tianyuan LuMcGill University, 845 Sherbrooke St W, Montreal, H3A 0G4, Canada.
Kathleen Oros KleinLady Davis Institute for Medical Research, Jewish General Hospital, 3755 Côte Sainte Catherine, Montreal, H3T 1E2, Canada.
Inés ColmegnaMcGill University, 845 Sherbrooke St W, Montreal, H3A 0G4, Canada.
Maximilien LoraResearch Institute of the McGill University Health Center, Montreal, Canada.
Sahir R BhatnagarMcGill University, 845 Sherbrooke St W, Montreal, H3A 0G4, Canada.
Andrew LeaskUniversity of Saskatchewan, Saskatoon, Canada.
Celia M T GreenwoodMcGill University, 845 Sherbrooke St W, Montreal, H3A 0G4, Canada.
Marie HudsonMcGill University, 845 Sherbrooke St W, Montreal, H3A 0G4, Canada. marie.hudson@mcgill.ca.
McGill University · CAMcGill University Health Centre · CAJewish General Hospital · CAUniversity of Saskatchewan · CA

Funding

CIHR 130344
6 · The paper itself

Abstract

backgroundAbnormal DNA methylation is thought to contribute to the onset and progression of systemic sclerosis. Currently, the most comprehensive assay for profiling DNA methylation is whole-genome bisulfite sequencing (WGBS), but its precision depends on read depth and it may be subject to sequencing errors. SOMNiBUS, a method for regional analysis, attempts to overcome some of these limitations. Using SOMNiBUS, we re-analyzed WGBS data previously analyzed using bumphunter, an approach that initially fits single CpG associations, to contrast DNA methylation estimates by both methods.

methodsPurified CD4+ T lymphocytes of 9 SSc and 4 control females were sequenced using WGBS. We separated the resulting sequencing data into regions with dense CpG data, and differentially methylated regions (DMRs) were inferred with the SOMNiBUS region-level test, adjusted for age. Pathway enrichment analysis was performed with ingenuity pathway analysis (IPA). We compared the results obtained by SOMNiBUS and bumphunter.

resultsOf 8268 CpG regions of ≥ 60 CpGs eligible for analysis with SOMNiBUS, we identified 131 DMRs and 125 differentially methylated genes (DMGs; p-values less than Bonferroni-corrected threshold of 6.05-06 controlling family-wise error rate at 0.05; 1.6% of the regions). In comparison, bumphunter identified 821,929 CpG regions, 599 DMRs (of which none had ≥ 60 CpGs) and 340 DMGs (q-value of 0.05; 0.04% of all regions). The top ranked gene identified by SOMNiBUS was FLT4, a lymphangiogenic orchestrator, and the top ranked gene on chromosome X was CHST7, known to catalyze the sulfation of glycosaminoglycans in the extracellular matrix. The top networks identified by IPA included connective tissue disorders.

conclusionsSOMNiBUS is a complementary method of analyzing WGBS data that enhances biological insights into SSc and provides novel avenues of investigation into its pathogenesis.

Indexed as

DNA MethylationScleroderma, SystemicCpG IslandsFemaleHumansSulfitesWhole Genome Sequencinghydrogen sulfiteSulfitesDifferentially methylated regionsDNA methylationSclerodermaSmoothingSystemic sclerosisWhole genome bisulfite sequencing

Identifiers

PMID37270501
PMCPMC10239181
OpenAlexW4379207264

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.