Evidence map›Paper›PMID 34038024›Full record

ArticleAging cell2021

Genetic associations for two biological age measures point to distinct aging phenotypes.

Chia-Ling Kuo, Luke C Pilling, Zuyun Liu, Janice L Atkins, Morgan E Levine

Abstract read
In one paragraph

Article in Aging cell, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.

0numbers the graph read from it
0cells of the map it votes in
102citing 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

102 citing papers in PubMed.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Chia-Ling KuoConnecticut Convergence Institute for Translation in Regenerative Engineering, University of Connecticut Health, Farmington, Connecticut, USA.ORCID 0000-0003-4452-2380
Luke C PillingCenter on Aging, School of Medicine, University of Connecticut, Farmington, Connecticut, USA.
Zuyun LiuDepartment of Big Data in Health Science, School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Janice L AtkinsCollege of Medicine and Health, University of Exeter, Exeter, UK.ORCID 0000-0003-4919-9068
Morgan E LevineDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0001-9890-9324

Funding

Molecular mechanisms and social constructs: How genes and environment regulate the rate of agingR00AG052604 · NIA · YALE UNIVERSITY · PI LEVINE, MORGAN ELYSE, TIGNANELLI, CHRISTOPHER J · 2017 to 2020
$866k
Understanding the role of ApoE2 in longevity and age-related diseases and conditions using 500,000 UK Biobank participantsR21AG060018 · NIA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI KUO, CHIA-LING · 2018 to 2020
$434k
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/S009892/1NIA NIH HHS R00 AG052604NIA NIH HHS R00AG052604NIA NIH HHS R21 AG060018NIA NIH HHS R21AG060018
6 · The paper itself

Abstract

Biological age measures outperform chronological age in predicting various aging outcomes, yet little is known regarding genetic predisposition. We performed genome-wide association scans of two age-adjusted biological age measures (PhenoAgeAcceleration and BioAgeAcceleration), estimated from clinical biochemistry markers (Levine et al., 2018; Levine, 2013) in European-descent participants from UK Biobank. The strongest signals were found in the APOE gene, tagged by the two major protein-coding SNPs, PhenoAgeAccel-rs429358 (APOE e4 determinant) (p = 1.50 × 10

Indexed as

PhenotypeAgingGenome-Wide Association StudyHumansAPOEbiomarkerscardiac aginginflammagingpolygenic risk score

Identifiers

PMID34038024
PMCPMC8208797

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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.