Evidence map›Paper›PMID 25918517›Full record

ArticleFrontiers in genetics2015

Genetics of aging, health, and survival: dynamic regulation of human longevity related traits.

Anatoliy I Yashin, Deqing Wu, Liubov S Arbeeva, Konstantin G Arbeev, Alexander M Kulminski, Igor Akushevich, Mikhail Kovtun, Irina Culminskaya, Eric Stallard, Miaozhu Li and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  8. Genetic and epigenetic regulation of human aging and longevity.Biochimica et biophysica acta. Molecular basis of disease · 2019
    Review
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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

11 authors at 2 institutions in 1 country.

Anatoliy I YashinBiodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA.
Deqing WuBiodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA.
Liubov S ArbeevaBiodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA.
Konstantin G ArbeevBiodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA.
Alexander M KulminskiBiodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA.
Igor AkushevichBiodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA.
Mikhail KovtunBiodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA ; Integrative Genomic Analysis Shared Resource, Duke Center for Genomic and Computational Biology, Duke University Durham, NC, USA.
Irina CulminskayaBiodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA.
Eric StallardBiodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA.
Miaozhu LiBiodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA.
Svetlana V UkraintsevaBiodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA.
Duke University · USSocial Science Research Council · US

Funding

STALLARD Admin Supp: Predicting Future Care Needs and Costs for Individual Medicare Enrollees with Incident Suspected Alzheimer's DiseaseP30AG034424 · NIA · DUKE UNIVERSITY · PI Herman Pontzer · 2009 to 2026
$12.2M
THE RANGE OF MALE-FEMALE MORTALITY DIFFERENCESP01AG031719 · NIA · DUKE UNIVERSITY · PI ALBERTS, SUSAN C. · 2009 to 2020
$10.2M
Relationships among Genetic Regulators of Aging Health and LifespanP01AG043352 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2014 to 2018
$8.7M
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
SLEEP AND ENTRAINMENT OF SCN FUNCTIONR01HL064278 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI STROHL, KINGMAN PERKINS · 1999 to 2002
$871k
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N02 HL064278NIA NIH HHS P01 AG043352NIA NIH HHS P30 AG034424NIA NIH HHS R01 AG046860NIA NIH HHS RF1 AG046860
6 · The paper itself

Abstract

backgroundThe roles of genetic factors in human longevity would be better understood if one can use more efficient methods in genetic analyses and investigate pleiotropic effects of genetic variants on aging and health related traits. DATA AND

methodsWe used EMMAX software with modified correction for population stratification to perform genome wide association studies (GWAS) of female lifespan from the original FHS cohort. The male data from the original FHS cohort and male and female data combined from the offspring FHS cohort were used to confirm findings. We evaluated pleiotropic effects of selected genetic variants as well as gene-smoking interactions on health and aging related traits. Then we reviewed current knowledge on functional properties of genes related to detected variants.

resultsThe eight SNPs with genome-wide significant variants were negatively associated with lifespan in both males and females. After additional QC, two of these variants were selected for further analyses of their associations with major diseases (cancer and CHD) and physiological aging changes. Gene-smoking interactions contributed to these effects. Genes closest to detected variants appear to be involved in similar biological processes and health disorders, as those found in other studies of aging and longevity e.g., in cancer and neurodegeneration.

conclusionsThe impact of genes on longevity may involve trade-off-like effects on different health traits. Genes that influence lifespan represent various molecular functions but may be involved in similar biological processes and health disorders, which could contribute to genetic heterogeneity of longevity and the lack of replication in genetic association studies.

Indexed as

aging changesCVDgene-environment interactiongenetics of cancergenetics of longevitylongitudinal datasmoking and life span

Identifiers

PMID25918517
PMCPMC4394697
OpenAlexW2040686086

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.