Evidence map›Paper›PMID 31152155›Full record

ArticleInternational journal of obesity (2005)2019

DNA methylome profiling in identical twin pairs discordant for body mass index.

Weilong Li, Dongfeng Zhang, Weijing Wang, Yili Wu, Afsaneh Mohammadnejad, Jesper Lund, Jan Baumbach, Lene Christiansen, Qihua Tan

Abstract read
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In one paragraph

Article in International journal of obesity (2005), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Recent progress in epigenetics of obesity.Diabetology & metabolic syndrome · 2022
    Review
  5. Article
  6. 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

9 authors.

Weilong LiEpidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID http://orcid.org/0000-0001-9448-7953
Dongfeng ZhangDivision of Epidemiology and Health Statistics, Qingdao University Medical College, Qingdao, China.
Weijing WangDivision of Epidemiology and Health Statistics, Qingdao University Medical College, Qingdao, China.
Yili WuDivision of Epidemiology and Health Statistics, Qingdao University Medical College, Qingdao, China.
Afsaneh MohammadnejadEpidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Jesper LundEpidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID http://orcid.org/0000-0001-9483-1603
Jan BaumbachChair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany.
Lene ChristiansenEpidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Qihua TanEpidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, Odense, Denmark. qtan@health.sdu.dk.ORCID http://orcid.org/0000-0003-3194-0030

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveBody mass index (BMI) serves as an important measurement of obesity and adiposity, which are highly correlated with cardiometabolic diseases. Although high heritability has been estimated, the identified genetic variants by genetic association studies only explain a small proportion of BMI variation. As an active effort for further exploring the molecular basis of BMI variation, large-scale epigenome-wide association studies have been conducted but with limited number of loci reported, perhaps due to poorly controlled confounding factors, including genetic factors. Being genetically identical, monozygotic twins discordant for BMI are ideal subjects for analyzing the epigenetic association between DNA methylation and BMI, providing perfect control on their genetic makeups largely responsible for BMI variation. SUBJECTS: We performed an epigenome-wide association study on BMI using 30 identical twin pairs (15 male and 15 female pairs) with age ranging from 39 to 72 years and degree of BMI discordance ranging from 3-7.5 kg/m

resultsAfter adjusting for blood cell composition and clinical variables, we identified 136 CpGs with p-value < 1e-4, 30 CpGs with p < 1e-05 but no CpGs reached genome-wide significance. Genomic region-based analysis found 11 differentially methylated regions harboring coding and non-coding genes some of which were validated by gene expression analysis on independent samples.

conclusionsOur DNA methylation sequencing analysis on identical twins provides new references for the epigenetic regulation on BMI and obesity.

Indexed as

Body Mass IndexAdultAgedDNA MethylationEpigenesis, GeneticEpigenomeEpigenomicsFemaleHumansMaleMiddle AgedObesityTwins, Monozygotic

Identifiers

What Socratic holds

Textmetadata
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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 Socratic graph.