Evidence map›Paper›PMID 42726198›Full record

ArticleGeroScience2026

Parental longevity and polygenic longevity scores in relation to ageing-related factors in a population of 70-year-olds followed over six years: The Gothenburg H70 Birth Cohort Study.

Nazib M Seidu, Lina Rydén, Johan Skoog, Jessica Samuelsson, Silke Kern, Margda Waern, Henrik Zetterberg, Henne Holstege, Hanna Falk Erhag, Eric Westman and 1 more

Abstract read
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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
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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

11 authors.

Nazib M SeiduNeuropsychiatric Epidemiology (EPINEP), Centre for Ageing and Health (AGECAP), Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. nazib.m.seidu@gu.se.ORCID http://orcid.org/0000-0002-8381-9657
Lina RydénNeuropsychiatric Epidemiology (EPINEP), Centre for Ageing and Health (AGECAP), Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Johan SkoogNeuropsychiatric Epidemiology (EPINEP), Centre for Ageing and Health (AGECAP), Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Jessica SamuelssonNeuropsychiatric Epidemiology (EPINEP), Centre for Ageing and Health (AGECAP), Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Silke KernNeuropsychiatric Epidemiology (EPINEP), Centre for Ageing and Health (AGECAP), Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Margda WaernNeuropsychiatric Epidemiology (EPINEP), Centre for Ageing and Health (AGECAP), Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Henne HolstegeDelft Bioinformatics Lab, Delft University of Technology, Delft, the Netherlands.
Hanna Falk ErhagNeuropsychiatric Epidemiology (EPINEP), Centre for Ageing and Health (AGECAP), Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Eric WestmanDepartment of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden.
Ingmar SkoogNeuropsychiatric Epidemiology (EPINEP), Centre for Ageing and Health (AGECAP), Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As societies age, a deeper understanding of ageing-related factors that contribute to longevity is needed. We therefore investigated possible longevity factors (social, medical, and biological) in relation to parental longevity (PL) and polygenic longevity scores (PGLSs). We examined 1126 70-year-olds from the Swedish population-based Gothenburg H70 Birth Cohort study in 2014-2016 (response rate 72%), with follow-up in 2019-2022 (response rate 77.6%). Comprehensive examinations included self-reported information on parents' ages, socioeconomic factors, mental, cardiovascular, and neurological health, anthropometry, laboratory data, and genotyping to construct two continuous PGLSs variables (with and without the APOE locus). PL groups were categorised as high if both parents survived to age 85 (17.2%); medium if one parent had survived (43.3%), and low if neither parent had survived to age 85 (39.4%). Higher PL and higher PGLSs were related to less hypertension, higher educational level, better childhood, and current socioeconomic status. In addition, higher PL was associated with higher MMSE score, total cholesterol, HDL-cholesterol (HDL-c) and LDL-cholesterol (LDL-c), lower BMI, homocysteine and inflammatory markers (IL-6, CRP) levels, and less smoking, whereas higher PGLSs was related to less myocardial infarction. At follow-up, high-PL was associated with less increase in plasma pTau217. PGLSs were mainly related to socioeconomic and cardiovascular factors, while individuals with long-lived parents, in addition, had several other characteristics of longevity, such as less inflammation, homocysteine, and markers of dementia. PL may be a proxy for biological ageing and used as a screening for ageing-related disorders in the context of prevention.

Indexed as

APOECardiovascular risk factorsCRPHereditary factorsHomocysteineIL-6Lipid profilesLongevity-PGSOlder adultsParental longevityPTau217Socioeconomic factors

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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.