ArticleClinical epigenetics2022
Epigenome-wide contributions to individual differences in childhood phenotypes: a GREML approach.
Article in Clinical epigenetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.
- Socioeconomic position, genetic susceptibility, and epigenetic profiles in obesity across the life course: a systematic review.International journal of obesity (2005) · 2026Pooled it
- DNA methylation as proxy of genetic, prenatal and perinatal psychiatric risk factors.medRxiv : the preprint server for health sciences · 2026Article
- Low birth weight, DNA methylation patterns in cord blood, and inflammation at birth.Translational pediatrics · 2026Article
- Epigenetics and ADHD: Reflections on Current Knowledge, Research Priorities and Translational Potential.Molecular diagnosis & therapy · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 6 institutions in 5 countries.
Funding
Abstract
backgroundDNA methylation is an epigenetic mechanism involved in human development. Numerous epigenome-wide association studies (EWAS) have investigated the associations of DNA methylation at single CpG sites with childhood outcomes. However, the overall contribution of DNA methylation across the genome (R
resultsUsing information from > 470,000 autosomal probes we estimated that DNA methylation at birth explains 32% (SD
conclusionsThe results suggest that cord blood methylation explains a moderate degree of variance in gestational age and birth weight, in line with the success of previous EWAS in identifying numerous CpG sites associated with these phenotypes. In contrast, we could not obtain a reliable estimate for school-age BMI, IQ and ADHD symptoms. This may reflect a null bias due to insufficient sample size to detect variance explained in more weakly associated phenotypes, although the true R
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.