Evidence map›Paper›PMID 31694869›Full record

ArticleGenome research2019

Clonal copy-number mosaicism in autoreactive T lymphocytes in diabetic NOD mice.

Maha Alriyami, Luc Marchand, Quan Li, Xiaoyu Du, Martin Olivier, Constantin Polychronakos

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genome research, 2019. 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
–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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 2 countries.

Maha AlriyamiThe Endocrine Genetics Laboratory, Child Health and Human Development Program and Department of Pediatrics, McGill University Health Centre Research Institute, Montreal, Quebec H3H 1P3, Canada.
Luc MarchandThe Endocrine Genetics Laboratory, Child Health and Human Development Program and Department of Pediatrics, McGill University Health Centre Research Institute, Montreal, Quebec H3H 1P3, Canada.
Quan LiThe Endocrine Genetics Laboratory, Child Health and Human Development Program and Department of Pediatrics, McGill University Health Centre Research Institute, Montreal, Quebec H3H 1P3, Canada.
Xiaoyu DuThe Endocrine Genetics Laboratory, Child Health and Human Development Program and Department of Pediatrics, McGill University Health Centre Research Institute, Montreal, Quebec H3H 1P3, Canada.
Martin OlivierDepartments of Medicine, Microbiology, and Immunology, McGill University Health Centre Research Institute, Montreal, Quebec H3H 1P3, Canada.
Constantin PolychronakosThe Endocrine Genetics Laboratory, Child Health and Human Development Program and Department of Pediatrics, McGill University Health Centre Research Institute, Montreal, Quebec H3H 1P3, Canada.
McGill University Health Centre · CAUniversity Health Network · CA

Funding

CIHR MOP-137050
6 · The paper itself

Abstract

Concordance for type 1 diabetes (T1D) is far from 100% in monozygotic twins and in inbred nonobese diabetic (NOD) mice, despite genetic identity and shared environment during incidence peak years. This points to stochastic determinants, such as postzygotic mutations (PZMs) in the expanding antigen-specific autoreactive T cell lineages, by analogy to their role in the expanding tumor lineage in cancer. Using comparative genomic hybridization of DNA from pancreatic lymph-node memory CD4

Indexed as

CD4-Positive T-LymphocytesDiabetes Mellitus, Type 1Gene DosageMosaicismMutationPoint MutationAnimalsGenome-Wide Association StudyHumansMiceMice, Inbred BALB CMice, Inbred NOD

Identifiers

PMID31694869
PMCPMC6886509
OpenAlexW2986686243

What Socratic 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 Socratic graph.