Evidence map›Paper›PMID 30397358›Full record

ArticleNature medicine2018

Longitudinal personal DNA methylome dynamics in a human with a chronic condition.

Rui Chen, Lin Xia, Kailing Tu, Meixue Duan, Kimberly Kukurba, Jennifer Li-Pook-Than, Dan Xie, Michael Snyder

Abstract read
In one paragraph

Article in Nature medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

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  11. Serial Sampling of the Small Airway Epithelium to Identify Persistent Smoking-dysregulated Genes.American journal of respiratory and critical care medicine · 2023
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Rui ChenDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-1956-6499
Lin XiaCenter of Precision Medicine, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and National Collaborative Innovation Center, Sichuan, China.
Kailing TuCenter of Precision Medicine, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and National Collaborative Innovation Center, Sichuan, China.
Meixue DuanCenter of Precision Medicine, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and National Collaborative Innovation Center, Sichuan, China.
Kimberly KukurbaDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Jennifer Li-Pook-ThanDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Dan XieDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA. danxie@scu.edu.cn.ORCID http://orcid.org/0000-0001-5388-5541
Michael SnyderDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA. mpsnyder@stanford.edu.ORCID http://orcid.org/0000-0003-0784-7987

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
NIDDK NIH HHS P30 DK116074
6 · The paper itself

Abstract

Epigenomics regulates gene expression and is as important as genomics in precision personal health, as it is heavily influenced by environment and lifestyle. We profiled whole-genome DNA methylation and the corresponding transcriptome of peripheral blood mononuclear cells collected from a human volunteer over a period of 36 months, generating 28 methylome and 57 transcriptome datasets. We found that DNA methylomic changes are associated with infrequent glucose level alteration, whereas the transcriptome underwent dynamic changes during events such as viral infections. Most DNA meta-methylome changes occurred 80-90 days before clinically detectable glucose elevation. Analysis of the deep personal methylome dataset revealed an unprecedented number of allelic differentially methylated regions that remain stable longitudinally and are preferentially associated with allele-specific gene regulation. Our results revealed that changes in different types of 'omics' data associate with different physiological aspects of this individual: DNA methylation with chronic conditions and transcriptome with acute events.

Indexed as

EpigenomicsAllelesCpG IslandsDNA MethylationGene Expression ProfilingGene Expression RegulationGenome, HumanGlucoseHumansLeukocytes, MononuclearTranscriptomeVolunteersGlucose

Identifiers

PMID30397358
PMCPMC8084418

What OpenQuestion holds

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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.