Evidence map›Paper›PMID 38853823›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Methylome-wide studies of six metabolic traits.

Hannah M Smith, Hong Kiat Ng, Joanna E Moodie, Danni A Gadd, Daniel L McCartney, Elena Bernabeu, Archie Campbell, Paul Redmond, Adele Taylor, Danielle Page and 11 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hannah M SmithCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-2972-821X
Hong Kiat NgLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Joanna E MoodieLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
Danni A GaddCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Daniel L McCartneyCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Elena BernabeuCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Archie CampbellCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Paul RedmondLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
Adele TaylorLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
Danielle PageLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
Janie CorleyLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
Sarah E HarrisLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
Darwin TayLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Ian J DearyLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
Kathryn L EvansCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Matthew R RobinsonInstitute of Science and Technology Austria, Am Campus 1, 3400 Klosterneuburg, Austria.
John C ChambersLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Marie LohLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Simon R CoxLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
Riccardo E MarioniCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Robert F HillaryCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.

Funding

Evaluating Longitudinal Changes in the Human Structural Connectome in Relation to Cognitive AgingR01AG054628 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2017 to 2021
$2.7M
NIA NIH HHS R01 AG054628Wellcome Trust
6 · The paper itself

Abstract

Exploring the molecular correlates of metabolic health measures may identify the shared and unique biological processes and pathways that they track. Here, we performed epigenome-wide association studies (EWASs) of six metabolic traits: body mass index (BMI), body fat percentage, waist-hip ratio (WHR), and blood-based measures of glucose, high-density lipoprotein (HDL) cholesterol, and total cholesterol. We considered blood-based DNA methylation (DNAm) from >750,000 CpG sites in over 17,000 volunteers from the Generation Scotland (GS) cohort. Linear regression analyses identified between 304 and 11,815 significant CpGs per trait at P<3.6×10

Identifiers

PMID38853823
PMCPMC11160850

What OpenQuestion holds

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LicenceCC BY
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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.