Evidence map›Paper›PMID 40844718›Full record

ArticleBiogerontology2025

Whole genome sequencing reveals telomere associated genomic differences between healthy and unhealthy aging in a Korean population.

Ji-Hye Oh, Hyo Jeong Lee, Wonkyung Kim, Da Eun Oh, Hong-Kyu Kim, Eun Hee Kim, Jaewon Choe, Ha Ra Jun, Chae Won Park, Young Gwang Kang and 3 more

Abstract read
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In one paragraph

Article in Biogerontology, 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 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

13 authors.

Ji-Hye Oh *Bioinformatics Core Laboratory, Convergence Medicine Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea.
Hyo Jeong Lee *Health Screening and Promotion Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Wonkyung Kim *Department of Biomedical Sciences, Brain Korea 21 Project, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Da Eun OhBioinformatics Core Laboratory, Convergence Medicine Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea.
Hong-Kyu KimHealth Screening and Promotion Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Eun Hee KimHealth Screening and Promotion Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Jaewon ChoeHealth Screening and Promotion Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Ha Ra JunDepartment of Biomedical Sciences, Brain Korea 21 Project, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Chae Won ParkDepartment of Biomedical Sciences, Brain Korea 21 Project, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Young Gwang KangDepartment of Biomedical Sciences, Brain Korea 21 Project, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Chong Jai KimDepartment of Pathology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea.
Chang Ohk SungBioinformatics Core Laboratory, Convergence Medicine Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea. co.sung@amc.seoul.kr.ORCID 0000-0002-8567-456X
Tae Won KimDepartment of Oncology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea. twkimmd@amc.seoul.kr.ORCID 0000-0002-5886-3920

Funding

Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea 2018IP0622 and 2019IF0590
6 · The paper itself

Abstract

One of the major challenges in modern biogerontology is understanding the accumulation of molecular damage and the manifestation of phenotypic heterogeneity during aging. Notably, genomic instability caused by impaired DNA damage repair along with telomere attrition are primary drivers of aging. However, how these aging-related characteristics differ in individuals who age healthily without developing major age-associated diseases remains unclear. Here, whole genome sequencing (WGS) was performed on 100 healthy agers (≥ 60 years old, no age-related diseases) and 100 unhealthy agers (≥ 60 years old, at least one age-related disease/condition) based on a case-control study. Telomere length was measured using TelSeq and Computel. High-functional impact germline variant (gHFI) burden and alteration pattern at the pathway level were also analyzed. The GTEx dataset including 751 individuals was used to observe the functional impact of identified germline variants at the molecular level. Telomere length showed minimal differences before 65 years of age but declined rapidly in unhealthy agers beyond this age. Additionally, healthy agers had lower gHFI burden, particularly in DNA repair genes such as BLM. Pathway analysis revealed enrichment of oxidative stress-related mutations in healthy agers, correlated with reduced oxidative stress and upregulated antioxidant enzymes (SOD1 and SOD2). Overall, genomic instability preserved through slow telomere attrition and reduced DNA repair defects plays a key role in healthy aging. Improved oxidative stress resistance may contribute to healthier aging, highlighting the role of genetic factors in reducing age-related decline and supporting overall well-being in later life.

Indexed as

AgingHealthy AgingTelomereAgedAged, 80 and overCase-Control StudiesDNA RepairFemaleGenomic InstabilityHumansMaleMiddle AgedOxidative StressRepublic of KoreaTelomere HomeostasisTelomere ShorteningAgingDNA repairOxidative stressTelomere lengthWhole genome sequencing

Identifiers

PMID40844718

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.