Evidence map›Paper›PMID 37123987›Full record

ArticleNeurology. Genetics2023

Identifying Aging and Alzheimer Disease-Associated Somatic Variations in Excitatory Neurons From the Human Frontal Cortex.

Meng Zhang, Gerard A Bouland, Henne Holstege, Marcel J T Reinders

Open access · goldAbstract read
In one paragraph

Article in Neurology. Genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

4 authors at 1 institution in 1 country.

Meng ZhangDelft Bioinformatics Lab (M.Z., G.A.B., H.H., M.J.T.R.), Delft University of Technology; Department of Human Genetics (M.Z., H.H.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC; and Department of Human Genetics (G.A.B., M.J.T.R.), Leiden University Medical Center, the Netherlands.
Gerard A BoulandDelft Bioinformatics Lab (M.Z., G.A.B., H.H., M.J.T.R.), Delft University of Technology; Department of Human Genetics (M.Z., H.H.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC; and Department of Human Genetics (G.A.B., M.J.T.R.), Leiden University Medical Center, the Netherlands.
Henne HolstegeDelft Bioinformatics Lab (M.Z., G.A.B., H.H., M.J.T.R.), Delft University of Technology; Department of Human Genetics (M.Z., H.H.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC; and Department of Human Genetics (G.A.B., M.J.T.R.), Leiden University Medical Center, the Netherlands.ORCID https://orcid.org/0000-0002-7688-3087
Marcel J T ReindersDelft Bioinformatics Lab (M.Z., G.A.B., H.H., M.J.T.R.), Delft University of Technology; Department of Human Genetics (M.Z., H.H.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC; and Department of Human Genetics (G.A.B., M.J.T.R.), Leiden University Medical Center, the Netherlands.ORCID https://orcid.org/0000-0002-1148-1562
Amsterdam Neuroscience · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: With age, somatic mutations accumulated in human brain cells can lead to various neurologic disorders and brain tumors. Because the incidence rate of Alzheimer disease (AD) increases exponentially with age, investigating the association between AD and the accumulation of somatic mutation can help understand the etiology of AD. Methods: We designed a somatic mutation detection workflow by contrasting genotypes derived from whole-genome sequencing (WGS) data with genotypes derived from scRNA-seq data and applied this workflow to 76 participants from the Religious Order Study and the Rush Memory and Aging Project (ROSMAP) cohort. We focused only on excitatory neurons, the dominant cell type in the scRNA-seq data. Results: We identified 196 sites that harbored at least 1 individual with an excitatory neuron-specific somatic mutation (ENSM), and these 196 sites were mapped to 127 genes. The single base substitution (SBS) pattern of the putative ENSMs was best explained by signature SBS5 from the Catalogue of Somatic Mutations in Cancer (COSMIC) mutational signatures, a clock-like pattern correlating with the age of the individual. The count of ENSMs per individual also showed an increasing trend with age. Among the mutated sites, we found 2 sites tend to have more mutations in older individuals (16:6899517 [ Discussion: Our results show that combining scRNA-seq and WGS data can successfully detect putative somatic mutations. The putative somatic mutations detected from ROSMAP data set have provided new insights into the association of AD and aging with brain somatic mutagenesis.

Identifiers

PMID37123987
PMCPMC10136684
OpenAlexW4366816293

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.