Evidence map›Paper›PMID 38471507›Full record

ArticleAmerican journal of human genetics2024

Investigating the potential of single-cell DNA methylation data to detect allele-specific methylation and imprinting.

Nicholas D Johnson, David J Cutler, Karen N Conneely

Abstract read
In one paragraph

Article in American journal of human genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Epigenetic networks coordinate DNA methylation across the genome.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  4. Review
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

3 authors.

Nicholas D JohnsonDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA; Population Biology, Ecology, and Evolution Program, Emory University, Atlanta, GA, USA.
David J CutlerDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA.
Karen N ConneelyDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA; Population Biology, Ecology, and Evolution Program, Emory University, Atlanta, GA, USA. Electronic address: kconnee@emory.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allele-specific methylation (ASM) is an epigenetic modification whereby one parental allele becomes methylated and the other unmethylated at a specific locus. ASM is most often driven by the presence of nearby heterozygous variants that influence methylation, but also occurs somatically in the context of genomic imprinting. In this study, we investigate ASM using publicly available single-cell reduced representation bisulfite sequencing (scRRBS) data on 608 B cells sampled from six healthy B cell samples and 1,230 cells from 11 chronic lymphocytic leukemia (CLL) samples. We developed a likelihood-based criterion to test whether a CpG exhibited ASM, based on the distributions of methylated and unmethylated reads both within and across cells. Applying our likelihood ratio test, 65,998 CpG sites exhibited ASM in healthy B cell samples according to a Bonferroni criterion (p < 8.4 × 10

Indexed as

DNA MethylationLeukemia, Lymphocytic, Chronic, B-CellSulfitesAllelesCpG IslandsGenomic ImprintingHumansLikelihood Functionshydrogen sulfiteSulfitesepigenetics, DNA methylation, single cell, allele-specific methylation, imprinting, statistical genetics

Identifiers

PMID38471507
PMCPMC11023823

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.