Evidence map›Paper›PMID 29263827›Full record

ArticleNPJ genomic medicine2017

Genome-wide identification of inter-individually variable DNA methylation sites improves the efficacy of epigenetic association studies.

Tsuyoshi Hachiya, Ryohei Furukawa, Yuh Shiwa, Hideki Ohmomo, Kanako Ono, Fumiki Katsuoka, Masao Nagasaki, Jun Yasuda, Nobuo Fuse, Kengo Kinoshita and 11 more

Abstract read
In one paragraph

Article in NPJ genomic medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
–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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  9. Epigenetic regulation of the humanBiochemistry and biophysics reports · 2024
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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

21 authors.

Tsuyoshi Hachiya *Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organisation, Disaster Reconstruction Center, Iwate Medical University, 2-1-1 Nishitokuta, Yahaba, Shiwa, Iwate 028-3694 Japan.
Ryohei Furukawa *Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organisation, Disaster Reconstruction Center, Iwate Medical University, 2-1-1 Nishitokuta, Yahaba, Shiwa, Iwate 028-3694 Japan.ORCID 0000-0002-3524-6524
Yuh Shiwa *Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organisation, Disaster Reconstruction Center, Iwate Medical University, 2-1-1 Nishitokuta, Yahaba, Shiwa, Iwate 028-3694 Japan.
Hideki Ohmomo *Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organisation, Disaster Reconstruction Center, Iwate Medical University, 2-1-1 Nishitokuta, Yahaba, Shiwa, Iwate 028-3694 Japan.ORCID 0000-0002-0020-6231
Kanako OnoDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organisation, Disaster Reconstruction Center, Iwate Medical University, 2-1-1 Nishitokuta, Yahaba, Shiwa, Iwate 028-3694 Japan.
Fumiki KatsuokaDepartment of Integrative Genomics, Tohoku Medical Megabank Organisation, Tohoku University, 2-1 Seiryo, Aoba, Sendai 980-8573 Japan.
Masao NagasakiDepartment of Integrative Genomics, Tohoku Medical Megabank Organisation, Tohoku University, 2-1 Seiryo, Aoba, Sendai 980-8573 Japan.
Jun YasudaDepartment of Integrative Genomics, Tohoku Medical Megabank Organisation, Tohoku University, 2-1 Seiryo, Aoba, Sendai 980-8573 Japan.
Nobuo FuseDepartment of Integrative Genomics, Tohoku Medical Megabank Organisation, Tohoku University, 2-1 Seiryo, Aoba, Sendai 980-8573 Japan.
Kengo KinoshitaDepartment of Integrative Genomics, Tohoku Medical Megabank Organisation, Tohoku University, 2-1 Seiryo, Aoba, Sendai 980-8573 Japan.
Masayuki YamamotoDepartment of Integrative Genomics, Tohoku Medical Megabank Organisation, Tohoku University, 2-1 Seiryo, Aoba, Sendai 980-8573 Japan.
Kozo TannoDivision of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organisation, Disaster Reconstruction Center, Iwate Medical University, 2-1-1 Nishitokuta, Yahaba, Shiwa, Iwate 028-3694 Japan.
Mamoru SatohDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organisation, Disaster Reconstruction Center, Iwate Medical University, 2-1-1 Nishitokuta, Yahaba, Shiwa, Iwate 028-3694 Japan.
Ryujin EndoDivision of Community Medical Supports and Health Record Informatics, Iwate Tohoku Medical Megabank Organisation, Disaster Reconstruction Center, Iwate Medical University, 2-1-1 Nishitokuta, Yahaba, Shiwa, Iwate 028-3694 Japan.
Makoto SasakiIwate Tohoku Medical Megabank Organisation, Disaster Reconstruction Center, Iwate Medical University, 2-1-1 Nishitokuta, Yahaba, Shiwa, Iwate 028-3694 Japan.
Kiyomi SakataDivision of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organisation, Disaster Reconstruction Center, Iwate Medical University, 2-1-1 Nishitokuta, Yahaba, Shiwa, Iwate 028-3694 Japan.
Seiichiro KobayashiIwate Tohoku Medical Megabank Organisation, Disaster Reconstruction Center, Iwate Medical University, 2-1-1 Nishitokuta, Yahaba, Shiwa, Iwate 028-3694 Japan.
Kuniaki OgasawaraIwate Tohoku Medical Megabank Organisation, Disaster Reconstruction Center, Iwate Medical University, 2-1-1 Nishitokuta, Yahaba, Shiwa, Iwate 028-3694 Japan.
Jiro HitomiIwate Tohoku Medical Megabank Organisation, Disaster Reconstruction Center, Iwate Medical University, 2-1-1 Nishitokuta, Yahaba, Shiwa, Iwate 028-3694 Japan.
Kenji SobueIwate Tohoku Medical Megabank Organisation, Disaster Reconstruction Center, Iwate Medical University, 2-1-1 Nishitokuta, Yahaba, Shiwa, Iwate 028-3694 Japan.
Atsushi ShimizuDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organisation, Disaster Reconstruction Center, Iwate Medical University, 2-1-1 Nishitokuta, Yahaba, Shiwa, Iwate 028-3694 Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epigenome-wide association studies, which searches for blood-based DNA methylation signatures associated with environmental exposures and/or disease susceptibilities, is a promising approach to a better understanding of the molecular aetiology of common diseases. To carry out large-scale epigenome-wide association studies while avoiding false negative detection, an efficient strategy to determine target CpG sites for microarray-based or sequencing-based DNA methylation profiling is essentially needed. Here, we propose and validate a hypothesis that a strategy focusing on CpG sites with high DNA methylation level variability may attain an improved efficacy. Through whole-genome bisulfite sequencing of purified blood cells collected from > 100 apparently healthy subjects, we identified ~2.0 million inter-individually variable CpG sites as potential targets. The efficacy of our strategy was estimated to be 3.7-fold higher than that of the most frequently used strategy. Our catalogue of inter-individually variable CpG sites will accelerate the discovery of clinically relevant DNA methylation biomarkers in future epigenome-wide association studies.

Identifiers

PMID29263827
PMCPMC5677974

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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.