Evidence map›Paper›PMID 30299504›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2018

Genetics of Human Longevity From Incomplete Data: New Findings From the Long Life Family Study.

Anatoliy I Yashin, Konstantin G Arbeev, Deqing Wu, Liubov S Arbeeva, Olivia Bagley, Eric Stallard, Alexander M Kulminski, Igor Akushevich, Fang Fang, Mary K Wojczynski and 9 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. All-Cause Mortality and Cause-Specific Death in U.S. Long-Lived Siblings: Data From the Long Life Family Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  5. Article
  6. Article
  7. International journal of molecular sciences · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Gene-Environment Interactions and Stochastic Variations in the Gero-Exposome.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. The genetics of human ageing.Nature reviews. Genetics · 2020
    Review
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

19 authors at 8 institutions in 2 countries.

Anatoliy I YashinBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina.
Konstantin G ArbeevBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina.
Deqing WuBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina.
Liubov S ArbeevaThurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Olivia BagleyBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina.
Eric StallardBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina.
Alexander M KulminskiBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina.
Igor AkushevichBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina.
Fang FangBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina.
Mary K WojczynskiDepartment of Genetics, Washington University School of Medicine in St Louis, St Louis, Missouri.
Kaare ChristensenDepartment of Epidemiology, University of Southern Denmark, Odense, Denmark.
Anne B NewmanDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Robert M BoudreauDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Michael A ProvinceDepartment of Genetics, Washington University in St Louis, St Louis, Missouri.
Stephen ThielkeUniversity of Washington, Seattle, Washington.
Thomas T PerlsMedical Center, Boston University, Boston, Massachusetts.
Ping AnDepartment of Genetics, Washington University School of Medicine in St Louis, St Louis, Missouri.
Irma EloDepartment of Sociology, University of Pennsylvania, Philadelphia, Pennsylvania.
Svetlana V UkraintsevaBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina.
Social Science Research Council · USWashington University in St. Louis · USUniversity of Pittsburgh · USBoston University · USUniversity of North Carolina at Chapel Hill · USUniversity of Pennsylvania · USUniversity of Southern Denmark · DKUniversity of Washington · US

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
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
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
Relationships among Genetic Regulators of Aging Health and LifespanP01AG043352 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2014 to 2018
$8.7M
Creating a National Resource for Genetic Research in Behavioral & Health SciencesRC2AG036495 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WEIR, DAVID R. · 2009 to 2010
$7.4M
Expanding a National Resource for Genetic Research in Behavioral & Health ScienceRC4AG039029 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WEIR, DAVID R. · 2010 to 2010
$6.0M
Genetics of changes in population pyramids: Implications for health forecasting with a focus on Alzheimer's Disease and related dementiasRF1AG046860 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2019 to 2019
$3.1M
YASHIN Admin Supp: Time Trends in Alzheimer's Disease: Addressing the Changing Role of Risk Factors and Instrument ValidityR01AG046860 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2014 to 2018
$3.1M
NIA NIH HHS P01 AG043352NIA NIH HHS R01 AG046860NIA NIH HHS RC2 AG036495NIA NIH HHS RC4 AG039029NIA NIH HHS RF1 AG046860NIA NIH HHS U01 AG009740NIA NIH HHS U01 AG023712NIA NIH HHS U01 AG023744NIA NIH HHS U01 AG023746NIA NIH HHS U01 AG023749NIA NIH HHS U19 AG063893
6 · The paper itself

Abstract

The special design of the Long Life Family Study provides a unique opportunity to investigate the genetics of human longevity by analyzing data on exceptional lifespans in families. In this article, we performed two series of genome wide association studies of human longevity which differed with respect to whether missing lifespan data were predicted or not predicted. We showed that the use of predicted lifespan is most beneficial when the follow-up period is relatively short. In addition to detection of strong associations of SNPs in APOE, TOMM40, NECTIN2, and APOC1 genes with longevity, we also detected a strong new association with longevity of rs1927465, located between the CYP26A1 and MYOF genes on chromosome 10. The association was confirmed using data from the Health and Retirement Study. We discuss the biological relevance of the detected SNPs to human longevity.

Indexed as

PedigreePolymorphism, Single NucleotideAgedAged, 80 and overApolipoprotein C-IApolipoproteins ECalcium-Binding ProteinsChromosomes, Human, Pair 10Chromosomes, Human, Pair 19DenmarkFemaleGene FrequencyGenome-Wide Association StudyHumansLogistic ModelsLongevityApolipoprotein C-IApolipoproteins ECalcium-Binding ProteinsCYP26A1 protein, humanMembrane ProteinsMembrane Transport ProteinsMitochondrial Precursor Protein Import Complex ProteinsMuscle ProteinsMYOF protein, humanNECTIN2 protein, humanNectinsRetinoic Acid 4-HydroxylaseTOMM40 protein, human

Identifiers

PMID30299504
PMCPMC6175028
OpenAlexW2790960762

What OpenQuestion 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 OpenQuestion graph.