In one paragraphArticle in bioRxiv : the preprint server for biology, 2025. 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
22 authors.
Beryl C ZhuangEdwin S. H. Leong Centre for Healthy Aging, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0002-4614-6457 Marcia Smiti JudeEdwin S. H. Leong Centre for Healthy Aging, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Chaini KonwarEdwin S. H. Leong Centre for Healthy Aging, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0002-7448-623X Natan YusupovDepartment Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany.
Calen P RyanRobert N. Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, United States.ORCID 0000-0002-0550-7949 Hannah-Ruth EngelbrechtEdwin S. H. Leong Centre for Healthy Aging, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0002-6627-4114 Joanne WhiteheadEdwin S. H. Leong Centre for Healthy Aging, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0002-9602-2081 Alexandra A HalberstamDepartment Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany.ORCID 0000-0001-5475-560X Julia L MacIsaacEdwin S. H. Leong Centre for Healthy Aging, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0001-7136-2699 Kristy DeverEdwin S. H. Leong Centre for Healthy Aging, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Zachary ZimmerDepartment of Family Studies and Gerontology, Mount Saint Vincent University, Halifax, Canada.ORCID 0000-0002-3983-3021 Nanette R LeeUSC-Office of Population Studies Foundation, Inc., University of San Carlos, Cebu City, Philippines.
Thomas W McDadeDepartment of Anthropology, Northwestern University, Evanston, Illinois, United States.ORCID 0000-0001-5829-648X Christopher W KuzawaDepartment of Anthropology and Institute for Policy Research, Northwestern University, Evanston, Illinois, United States.ORCID 0000-0002-0649-8677 Daniel W BelskyRobert N. Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, United States.ORCID 0000-0001-5463-2212 Elisabeth B BinderDepartment Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany.ORCID 0000-0001-7088-6618 Darina CzamaraDepartment Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany.ORCID 0000-0001-7381-904X Keegan KorthauerBritish Columbia Children's Hospital Research Institute, Vancouver, British Columbia, Canada.ORCID 0000-0002-4565-1654 Michael S KoborEdwin S. H. Leong Centre for Healthy Aging, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0003-4140-1743 Funding
Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7MLong-term multi-omics follow-up of the CALERIE Trial to generate new knowledge for geroscienceR01AG061378 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Daniel Walker Belsky · 2019 to 2026
$2.9MHealth and Aging Post Conflict: War's Ending Effects Among Survivors in VietnamR01AG052537 · NIA · UNIVERSITY OF UTAH · PI KORINEK, KIM · 2017 to 2021
$2.8MLifecourse determinants and outcomes of epigenetic age acceleration across two generationsR01AG061006 · NIA · NORTHWESTERN UNIVERSITY · PI KUZAWA, CHRISTOPHER · 2019 to 2023
$2.6MNIA NIH HHS R01 AG052537NIA NIH HHS R01 AG061006NIA NIH HHS R01 AG061378NIGMS NIH HHS T32 GM144273
6 · The paper itselfAbstract
The recently launched Illumina Infinium MethylationEPIC v2.0 (EPICv2), successor of MethylationEPIC v1.0 (EPICv1), retains a majority of probes in EPICv1, while expanding coverage of regulatory elements. The concordance between the two EPIC versions in DNA methylation-based tools has not yet been investigated. To address this, DNA methylation was profiled on both versions using matched blood samples across four cohorts spanning early to late adulthood. High concordance between versions at the array level but variable agreement at the individual probe level was noted. A significant contribution of EPIC version to DNA methylation variation was observed, though it was to a smaller extent compared to sample relatedness and cell type composition. Modest but significant differences in DNA methylation-based estimates between versions were observed, irrespective of the data preprocessing method used. Adjustments for EPIC version or calculation of estimates separately for each version largely mitigated these version-specific discordances. This work emphasizes the importance of accounting for EPIC version differences in research scenarios, especially in meta-analyses and longitudinal studies that require data harmonization across versions.
Indexed as
cell type deconvolutionDNA methylationepigenetic clocksEpigeneticsIllumina EPIC arrayinflammation and lifestyle biomarkers
Identifiers
PMID39005299
PMCPMC11245009
What OpenQuestion holds
Textmetadata
LicenceCC BY-NC-ND
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