Evidence map›Paper›PMID 31541176›Full record

ArticleScientific reports2019

An epigenetic biomarker for adult high-functioning autism spectrum disorder.

Ryo Kimura, Masatoshi Nakata, Yasuko Funabiki, Shiho Suzuki, Tomonari Awaya, Toshiya Murai, Masatoshi Hagiwara

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Trends Over Time in the Prevalence of Autism by Adaptive and Intellectual Functioning Levels.Autism research : official journal of the International Society for Autism Research · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. DNA Methylation Profiles ofBiomedicines · 2024
    Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Ryo KimuraDepartment of Anatomy and Developmental Biology, Graduate School of Medicine, Kyoto University, Kyoto, 606-8501, Japan. kimura.ryo.2w@kyoto-u.ac.jp.ORCID http://orcid.org/0000-0003-3220-991X
Masatoshi NakataDepartment of Anatomy and Developmental Biology, Graduate School of Medicine, Kyoto University, Kyoto, 606-8501, Japan.
Yasuko FunabikiDepartment of Cognitive and Behavioral Science, Graduate School of Human and Environmental Studies, Kyoto University, Kyoto, 606-8501, Japan.
Shiho SuzukiDepartment of Anatomy and Developmental Biology, Graduate School of Medicine, Kyoto University, Kyoto, 606-8501, Japan.
Tomonari AwayaDepartment of Anatomy and Developmental Biology, Graduate School of Medicine, Kyoto University, Kyoto, 606-8501, Japan.ORCID http://orcid.org/0000-0002-9004-3172
Toshiya MuraiDepartment of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, 606-8507, Japan.
Masatoshi HagiwaraDepartment of Anatomy and Developmental Biology, Graduate School of Medicine, Kyoto University, Kyoto, 606-8501, Japan. hagiwara.masatoshi.8c@kyoto-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence suggests that epigenetic mechanisms play a role in the etiology of autism spectrum disorder (ASD). To date, several studies have attempted to identify epigenetic biomarkers for ASD. However, reliable markers remain to be established and most of these studies have focused on pediatric patients with ASD. In this study, we sought to find an epigenetic DNA methylation biomarker from peripheral blood for adult patients with high-functioning ASD. DNA methylation profiles were analyzed using the Illumina 450 K methylation array. To identify robust candidate markers, we employed two types of machine-learning algorithms for marker selection. We identified a potential marker (cg20793532) for which is the AUC value was 0.79. Notably, cg20793532 was annotated to the PPP2R2C gene, which was hypermethylated and down-regulated in blood from ASD patients compared to that in the controls. Although requiring careful interpretation, this pilot study seems to provide a potential blood biomarker for identifying individuals with high-functioning ASD.

Indexed as

DNA MethylationDown-RegulationAdolescentAdultAutism Spectrum DisorderCase-Control StudiesChildChild, PreschoolEpigenesis, GeneticFemaleGenetic Association StudiesGenetic MarkersHigh-Throughput Nucleotide SequencingHumansMalePilot ProjectsGenetic MarkersPPP2R2C protein, humanProtein Phosphatase 2

Identifiers

PMID31541176
PMCPMC6754433

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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.