Evidence map›Paper›PMID 29099274›Full record

ArticleEpigenetics2017

Causes of blood methylomic variation for middle-aged women measured by the HumanMethylation450 array.

Shuai Li, Ee Ming Wong, Tuong L Nguyen, Ji-Hoon Eric Joo, Jennifer Stone, Gillian S Dite, Graham G Giles, Richard Saffery, Melissa C Southey, John L Hopper

Abstract readTwin Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Epigenetics, 2017. 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.

  1. 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

10 authors.

Shuai Lia Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health , University of Melbourne , Parkville , Victoria , Australia.
Ee Ming Wongb Genetic Epidemiology Laboratory, Department of Pathology , University of Melbourne , Parkville , Victoria , Australia.
Tuong L Nguyena Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health , University of Melbourne , Parkville , Victoria , Australia.
Ji-Hoon Eric Joob Genetic Epidemiology Laboratory, Department of Pathology , University of Melbourne , Parkville , Victoria , Australia.
Jennifer Stoned Centre for Genetic Origins of Health and Disease , Curtin University and the University of Western Australia , Perth , Western Australia , Australia.
Gillian S Ditea Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health , University of Melbourne , Parkville , Victoria , Australia.
Graham G Gilesa Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health , University of Melbourne , Parkville , Victoria , Australia.
Richard Safferyf Murdoch Children's Research Institute , Royal Children's Hospital , Parkville , Victoria , Australia.
Melissa C Southeyb Genetic Epidemiology Laboratory, Department of Pathology , University of Melbourne , Parkville , Victoria , Australia.
John L Hoppera Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health , University of Melbourne , Parkville , Victoria , Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To address the limitations in current classic twin/family research on the genetic and/or environmental causes of human methylomic variation, we measured blood DNA methylation for 479 women (mean age 56 years) including 66 monozygotic (MZ), 66 dizygotic (DZ) twin pairs and 215 sisters of twins, and 11 random technical duplicates using the HumanMethylation450 array. For each methylation site, we estimated the correlation for pairs of duplicates, MZ twins, DZ twins, and siblings, fitted variance component models by assuming the variation is explained by genetic factors, by shared and individual environmental factors, and by independent measurement error, and assessed the best fitting model. We found that the average (standard deviation) correlations for duplicate, MZ, DZ, and sibling pairs were 0.10 (0.35), 0.07 (0.21), -0.01 (0.14) and -0.04 (0.07). At the genome-wide significance level of 10

Indexed as

DNA MethylationGene-Environment InteractionGenetic VariationDNADried Blood Spot TestingFemaleHumansMiddle AgedOligonucleotide Array Sequence AnalysisTwinsDNADNA methylationfamilial aggregationheritabilityHumanMethylation450 arraytwin study

Identifiers

PMID29099274
PMCPMC5788416

What OpenQuestion holds

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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.