Evidence map›Paper›PMID 41733842›Full record

ArticleGeroScience2026

Genome-wide association study of frailty and integrative functional analysis to elucidate its relationship with aging.

Yujin Kwak, Soyoun Yang, Minju Yuk, Kwangyeon Oh, Changgyu Lee, Taehyun Lee, Hyun Jeong Kim, Boyoung Kim, Minseo Kang, Hanseul Park and 4 more

Abstract read
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In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

14 authors.

Yujin Kwak *College of Pharmacy, Chungbuk National University, 194-21, Osongsaengmyeong-1 Ro, Heungdeok-Gu, Cheongju, Chungcheongbuk-Do, Korea.
Soyoun Yang *College of Pharmacy, Chungbuk National University, 194-21, Osongsaengmyeong-1 Ro, Heungdeok-Gu, Cheongju, Chungcheongbuk-Do, Korea.
Minju YukCollege of Pharmacy, Chungbuk National University, 194-21, Osongsaengmyeong-1 Ro, Heungdeok-Gu, Cheongju, Chungcheongbuk-Do, Korea.
Kwangyeon OhCollege of Pharmacy, Chungbuk National University, 194-21, Osongsaengmyeong-1 Ro, Heungdeok-Gu, Cheongju, Chungcheongbuk-Do, Korea.
Changgyu LeeCollege of Pharmacy, Chungbuk National University, 194-21, Osongsaengmyeong-1 Ro, Heungdeok-Gu, Cheongju, Chungcheongbuk-Do, Korea.
Taehyun LeeCollege of Pharmacy, Chungbuk National University, 194-21, Osongsaengmyeong-1 Ro, Heungdeok-Gu, Cheongju, Chungcheongbuk-Do, Korea.
Hyun Jeong KimCollege of Pharmacy, Chungbuk National University, 194-21, Osongsaengmyeong-1 Ro, Heungdeok-Gu, Cheongju, Chungcheongbuk-Do, Korea.
Boyoung KimCollege of Pharmacy, Chungbuk National University, 194-21, Osongsaengmyeong-1 Ro, Heungdeok-Gu, Cheongju, Chungcheongbuk-Do, Korea.
Minseo KangCollege of Pharmacy, Chungbuk National University, 194-21, Osongsaengmyeong-1 Ro, Heungdeok-Gu, Cheongju, Chungcheongbuk-Do, Korea.
Hanseul ParkCollege of Pharmacy, Chungbuk National University, 194-21, Osongsaengmyeong-1 Ro, Heungdeok-Gu, Cheongju, Chungcheongbuk-Do, Korea.
Ji Min HanCollege of Pharmacy, Chungbuk National University, 194-21, Osongsaengmyeong-1 Ro, Heungdeok-Gu, Cheongju, Chungcheongbuk-Do, Korea.
Kyung Eun LeeCollege of Pharmacy, Chungbuk National University, 194-21, Osongsaengmyeong-1 Ro, Heungdeok-Gu, Cheongju, Chungcheongbuk-Do, Korea.
Zhaoming WangHealth Informatics Institute, Morsani College of Medicine & Bellini College of Artificial Intelligence, University of South Florida, Tampa, FL, USA.
Nan SongCollege of Pharmacy, Chungbuk National University, 194-21, Osongsaengmyeong-1 Ro, Heungdeok-Gu, Cheongju, Chungcheongbuk-Do, Korea. nan.song@chungbuk.ac.kr.ORCID https://orcid.org/0000-0002-9182-1060

Funding

Ministry of Education RS-2025-25429867Ministry of Science and ICT, South Korea RS-2024-00358322Ministry of Science and ICT, South Korea RS-2024-00440787Ministry of Science and ICT, South Korea RS-2025-02273102
6 · The paper itself

Abstract

Frailty is a clinically recognizable condition of vulnerability with aging, leading to adverse health outcomes. Previous GWASs on frailty have identified 59 susceptibility loci, although the underlying mechanisms remain unclear. We investigated the genetic determinants of frailty and biological relationship between frailty and aging genes in 14,664 middle-aged and elderly Korean participants. We performed cohort-based (KoGES and KNHANES) meta-analysis of GWAS and candidate gene approach focusing on the aging pathway, followed by functional analyses. Frailty was defined as three phenotypes based on the FRAIL scale, CHS index, and frailty index. A meta-analysis of the GWAS on frailty identified eight novel SNPs: rs73619247 (AKAP12), rs12672085 (SUGCT), rs10881815 (SH2D4B), rs1455725, rs118100642 (BANK1), rs141617066, rs10461403, and rs10499589 at suggestive significance of P < 1.00 × 10

Indexed as

AgingCandidate gene approachFrailtyGenome-wide association study

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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.