Evidence map›Paper›PMID 36330582›Full record

ArticleAging cell2022

APOE ɛ4 allele and TOMM40-APOC1 variants jointly contribute to survival to older ages.

Alexander M Kulminski, Ethan Jain-Washburn, Ian Philipp, Liang He, Yury Loika, Elena Loiko, Olivia Bagley, Svetlana Ukraintseva, Anatoliy Yashin, Konstantin Arbeev and 5 more

Abstract read
In one paragraph

Article in Aging cell, 2022. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. International journal of molecular sciences · 2023
    Article
  5. Article
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

15 authors.

Alexander M KulminskiBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA.
Ethan Jain-WashburnBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA.
Ian PhilippBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA.
Liang HeBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA.
Yury LoikaBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA.
Elena LoikoBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA.
Olivia BagleyBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA.
Svetlana UkraintsevaBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA.
Anatoliy YashinBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA.
Konstantin ArbeevBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA.
Eric StallardBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA.
Mary F FeitosaDivision of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St Louis, Missouri, USA.
Nicole SchupfGertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA.
Kaare ChristensenUnit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, Southern Denmark University, Odense, Denmark.
Irina CulminskayaBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA.

Funding

The Long Life Family StudyU19AG063893 · NIA · WASHINGTON UNIVERSITY · PI Stacy Andersen, KAARE CHRISTENSEN · 2019 to 2026
$125.4M
Long Life Family Study: Data Management and Coordinating CenterU01AG023746 · NIA · WASHINGTON UNIVERSITY · PI PROVINCE, MICHAEL A. · 2004 to 2018
$29.2M
The Long Life Family StudyU01AG023755 · NIA · BOSTON MEDICAL CENTER · PI PERLS, THOMAS T · 2004 to 2018
$13.2M
Plasma beta-amyloid in long lived families: genetics and risk of ADU01AG023749 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI COSENTINO, STEPHANIE ANN, LEE, JOSEPH HYUNGWOO · 2004 to 2018
$13.0M
Multicenter Study on Exceptional Survival in Families: The Long Life Family StudyU01AG023744 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B., ZMUDA, JOSEPH M. · 2004 to 2018
$12.0M
Long Life Family Study: Duke Univ./Univ. of Southern Denmark Field CenterU01AG023712 · NIA · DUKE UNIVERSITY · PI CHRISTENSEN, KAARE · 2004 to 2018
$10.4M
ApoE2 and protective molecular signatures in Alzheimer's disease and agingR01AG061853 · NIA · DUKE UNIVERSITY · PI KULMINSKI, ALEXANDER M · 2018 to 2022
$3.9M
Personalized genetic profiles of risk and resilience in Alzheimer's and vascular diseasesR01AG065477 · NIA · DUKE UNIVERSITY · PI KULMINSKI, ALEXANDER M · 2020 to 2024
$3.8M
Dissecting genetic and non-genetic heterogeneity in predisposition to Alzheimer's disease and vascular traits in pleiotropic contextR01AG070488 · NIA · DUKE UNIVERSITY · PI KULMINSKI, ALEXANDER M, OUKRAINTSEVA, SVETLANA V. · 2020 to 2024
$2.8M
NIA NIH HHS R01 AG061853NIA NIH HHS R01AG061853NIA NIH HHS R01 AG065477NIA NIH HHS R01AG065477NIA NIH HHS R01 AG070488NIA NIH HHS R01AG070488NIA NIH HHS U01 AG023712NIA NIH HHS U01AG023712NIA NIH HHS U01 AG023744NIA NIH HHS U01AG023744NIA NIH HHS U01 AG023746NIA NIH HHS U01AG023746NIA NIH HHS U01 AG023749NIA NIH HHS U01AG023749NIA NIH HHS U01 AG023755NIA NIH HHS U01AG023755NIA NIH HHS U19 AG063893NIA NIH HHS U19AG063893
6 · The paper itself

Abstract

Age-related diseases characteristic of post-reproductive life, aging, and life span are the examples of polygenic non-Mendelian traits with intricate genetic architectures. Polygenicity of these traits implies that multiple variants can impact their risks independently or jointly as combinations of specific variants. Here, we examined chances to live to older ages, 85 years and older, for carriers of compound genotypes comprised of combinations of genotypes of rs429358 (APOE ɛ4 encoding polymorphism), rs2075650 (TOMM40), and rs12721046 (APOC1) polymorphisms using data from four human studies. The choice of these polymorphisms was motivated by our prior results showing that the ɛ4 carriers having minor alleles of the other two polymorphisms were at exceptionally high risk of Alzheimer's disease (AD), compared with non-carriers of the minor alleles. Consistent with our prior findings for AD, we show here that the adverse effect of the ɛ4 allele on survival to older ages is significantly higher in carriers of minor alleles of rs2075650 and/or rs12721046 polymorphisms compared with their non-carriers. The exclusion of AD cases made this effect stronger. Our results provide compelling evidence that AD does not mediate the associations of the same compound genotypes with chances to survive until older ages, indicating the existence of genetically heterogeneous mechanisms. The survival chances can be mainly associated with lipid- and immunity-related mechanisms, whereas the AD risk, can be driven by the AD-biomarker-related mechanism, among others. Targeting heterogeneous polygenic profiles of individuals at high risks of complex traits is promising for the translation of genetic discoveries to health care.

Indexed as

Alzheimer DiseaseApolipoproteins EAgedAllelesApolipoprotein E4GenotypeHeterozygoteHumansMiddle AgedMitochondrial Precursor Protein Import Complex ProteinsApolipoprotein E4Apolipoproteins EMitochondrial Precursor Protein Import Complex ProteinsTOMM40 protein, humanagingAlzheimer's diseaseapolipoprotein E polymorphismhaplotypeslinkage disequilibrium

Identifiers

PMID36330582
PMCPMC9741507

What Socratic holds

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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 Socratic graph.