Evidence map›Paper›PMID 29099282›Full record

ArticleEpigenetics2017

DNA methylation and obesity traits: An epigenome-wide association study. The REGICOR study.

Sergi Sayols-Baixeras, Isaac Subirana, Alba Fernández-Sanlés, Mariano Sentí, Carla Lluís-Ganella, Jaume Marrugat, Roberto Elosua

Abstract read
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 79 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 6 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

79 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Review
  8. Article
  9. Epigenetics of Childhood Obesity.Hormone research in paediatrics · 2026
    Review
  10. Review
  11. Flavonoids inFood science & nutrition · 2025
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  12. Review
  13. Review
  14. Cohort Profile: The Girona Heart Registry.International journal of epidemiology · 2025
    Article
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  16. Article
  17. Review
  18. Article
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  20. Article

19 more citing papers are in PubMed but not listed here.

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.

Sergi Sayols-Baixerasa Cardiovascular Epidemiology and Genetics Research Group , IMIM (Hospital del Mar Medical Research Institute) , Barcelona , Catalonia , Spain.
Isaac Subiranaa Cardiovascular Epidemiology and Genetics Research Group , IMIM (Hospital del Mar Medical Research Institute) , Barcelona , Catalonia , Spain.
Alba Fernández-Sanlésa Cardiovascular Epidemiology and Genetics Research Group , IMIM (Hospital del Mar Medical Research Institute) , Barcelona , Catalonia , Spain.
Mariano Sentíb Universitat Pompeu Fabra (UPF) , Barcelona , Catalonia , Spain.
Carla Lluís-Ganellaa Cardiovascular Epidemiology and Genetics Research Group , IMIM (Hospital del Mar Medical Research Institute) , Barcelona , Catalonia , Spain.
Jaume Marrugata Cardiovascular Epidemiology and Genetics Research Group , IMIM (Hospital del Mar Medical Research Institute) , Barcelona , Catalonia , Spain.
Roberto Elosuaa Cardiovascular Epidemiology and Genetics Research Group , IMIM (Hospital del Mar Medical Research Institute) , Barcelona , Catalonia , Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is associated with increased risk of several diseases and has become epidemic. Obesity is highly heritable but the genetic variants identified by genome-wide association studies explain only limited variability. Epigenetics could contribute to explain the missing variability. The study aim was to discover differential methylation patterns related to obesity. We designed an epigenome-wide association study with a discovery phase in a subsample of 641 REGICOR study participants, validated by analysis of 2,515 participants in the Framingham Offspring Study. Blood DNA methylation was assessed using Illumina HumanMethylation450 BeadChip. Next, we meta-analyzed the data using the fixed effects method and performed a functional and pathway analysis using the Ingenuity Pathway Analysis software. We were able to validate 94 CpGs associated with body mass index (BMI) and 49 CpGs associated with waist circumference, located in 95 loci. In addition, we newly discovered 70 CpGs associated with BMI and 33 CpGs related to waist circumference. These CpGs explained 25.94% and 29.22% of the variability of BMI and waist circumference, respectively, in the REGICOR sample. We also evaluated 65 of the 95 validated loci in the GIANT genome-wide association data; 10 of them had Tag SNPs associated with BMI. The top-ranked diseases and functions identified in the functional and pathway analysis were neurologic, psychological, endocrine, and metabolic.

Indexed as

EpigenomicsGenome-Wide Association StudyBody Mass IndexCpG IslandsDNA MethylationFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedObesityPolymorphism, Single NucleotideSignal Transductionbody mass indexDNA methylationepigenome-wide studyobesitywaist

Identifiers

PMID29099282
PMCPMC5788444

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.