Evidence map›Paper›PMID 38192771›Full record

ArticleHeliyon2024

Genetic associations with longevity are on average stronger in females than in males.

Yi Zeng, Huashuai Chen, Xiaomin Liu, Zijun Song, Yao Yao, Xiaoyan Lei, Xiaozhen Lv, Lingguo Cheng, Zhihua Chen, Chen Bai and 26 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 33% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. The long-lived immune system of centenarians.Nature reviews. Immunology · 2026
    Review
  2. Article
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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

36 authors at 11 institutions in 5 countries.

Yi ZengCenter for Healthy Aging and Development Studies, National School of Development, Peking University, Beijing, 100871, China.
Huashuai ChenBusiness School of Xiangtan University, Xiangtan, 411105, China.
Xiaomin LiuBGI-Shenzhen, Shenzhen, 518083, China.
Zijun SongThe First Affiliated Hospital, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Yao YaoCenter for the Study of Aging and Human Development, Medical School of Duke University, Durham, NC, USA, 27710.
Xiaoyan LeiCenter for the Study of Aging and Human Development, Medical School of Duke University, Durham, NC, USA, 27710.
Xiaozhen LvFrench National Institute of Health and Medical Research (INSERM) and Ecole Pratique des Hautes Etudes (EPHE) FR, Italy.
Lingguo ChengSchool of Business, Nanjing University, Nanjing, 210093, China.
Zhihua ChenBGI-Shenzhen, Shenzhen, 518083, China.
Chen BaiCenter for the Study of Aging and Human Development, Medical School of Duke University, Durham, NC, USA, 27710.
Zhaoxue YinDivision of Non-Communicable Disease Control and Community Health, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Yuebin LvNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China.
Jiehua LuDepartment of Sociology, Peking University, Beijing, 100871, China.
Jianxin LiDepartment of Sociology, Peking University, Beijing, 100871, China.
Kenneth C LandDuke Population Research Institute's Center for Population Health and Aging, Duke University, Durham, NC, USA, 27710.
Anatoliy YashinDuke Population Research Institute's Center for Population Health and Aging, Duke University, Durham, NC, USA, 27710.
Angela M O'RandDuke Population Research Institute's Center for Population Health and Aging, Duke University, Durham, NC, USA, 27710.
Liang SunThe MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, 100730, China.
Ze YangThe MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, 100730, China.
Wei TaoSchool of Life Sciences, Peking University, Beijing, 100871, China.
Jun GuSchool of Life Sciences, Peking University, Beijing, 100871, China.
William GottschalkDepartment of Neurology, Medical Center, Duke University, Durham, NC, USA, 27710.
Qihua TanUniversity of Southern Denmark, Odense, DK-5000, Denmark.
Kaare ChristensenUniversity of Southern Denmark, Odense, DK-5000, Denmark.
Therese HeskethInstitute for Global Health, University College London, London, UK.
Xiao-Li TianHuman Aging Research Institute and School of Life Science, Nanchang University, Jiangxi, 330031, China.
Huanming YangBGI-Shenzhen, Shenzhen, 518083, China.
Viviana EgidiDepartment of Statistical Sciences, University of Rome La Sapienza, Roma, 00161, Italy.
Graziella CaselliDepartment of Statistical Sciences, University of Rome La Sapienza, Roma, 00161, Italy.
Jean-Marie RobineFrench National Institute of Health and Medical Research (INSERM) and Ecole Pratique des Hautes Etudes (EPHE) FR, Italy.
Huali WangThe Third Affiliated Hospital of Health Science Center, Peking University, Italy.
Xiaoming ShiNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China.
James W VaupelUniversity of Southern Denmark, Odense, DK-5000, Denmark.
Michael W LutzDepartment of Neurology, Medical Center, Duke University, Durham, NC, USA, 27710.
Chao NieBGI-Shenzhen, Shenzhen, 518083, China.
Junxia MinThe First Affiliated Hospital, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Duke University · USPeking University · CNBGI Group (China) · CNChinese Center For Disease Control and Prevention · CNUniversity of Southern Denmark · DKBeijing Hospital · CNSapienza University of Rome · ITZhejiang University · CNNanchang University · CNNanjing University · CNUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is long observed that females tend to live longer than males in nearly every country. However, the underlying mechanism remains elusive. In this study, we discovered that genetic associations with longevity are on average stronger in females than in males through bio-demographic analyses of genome-wide association studies (GWAS) dataset of 2178 centenarians and 2299 middle-age controls of Chinese Longitudinal Healthy Longevity Study (CLHLS). This discovery is replicated across North and South regions of China, and is further confirmed by North-South discovery/replication analyses of different and independent datasets of Chinese healthy aging candidate genes with CLHLS participants who are not in CLHLS GWAS, including 2972 centenarians and 1992 middle-age controls. Our polygenic risk score analyses of eight exclusive groups of sex-specific genes, analyses of sex-specific and not-sex-specific individual genes, and Genome-wide Complex Trait Analysis using all SNPs all reconfirm that genetic associations with longevity are on average stronger in females than in males. Our discovery/replication analyses are based on genetic datasets of in total 5150 centenarians and compatible middle-age controls, which comprises the worldwide largest sample of centenarians. The present study's findings may partially explain the well-known male-female health-survival paradox and suggest that genetic variants may be associated with different reactions between males and females to the same vaccine, drug treatment and/or nutritional intervention. Thus, our findings provide evidence to steer away from traditional view that "one-size-fits-all" for clinical interventions, and to consider sex differences for improving healthcare efficiency. We suggest future investigations focusing on effects of interactions between sex-specific genetic variants and environment on longevity as well as biological function.

Indexed as

CentenariansLongevityMale-female health-survival paradoxPolygenic risk score analysisPrecise healthcare for males and femalessex differences

Identifiers

PMID38192771
PMCPMC10772631
OpenAlexW4389736708

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.