Evidence map›Paper›PMID 26306600›Full record

ReviewBiogerontology2016

Puzzling role of genetic risk factors in human longevity: "risk alleles" as pro-longevity variants.

Svetlana Ukraintseva, Anatoliy Yashin, Konstantin Arbeev, Alexander Kulminski, Igor Akushevich, Deqing Wu, Gaurang Joshi, Kenneth C Land, Eric Stallard

Abstract readReview
In one paragraph

Review in Biogerontology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
–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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Understanding the interplay between APO E polymorphism and cognition in the Italian oldest old: results from the "Mugello study".Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
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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

9 authors.

Svetlana UkraintsevaBiodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University, Durham, NC, 27708, USA. svo@duke.edu.
Anatoliy YashinBiodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University, Durham, NC, 27708, USA.
Konstantin ArbeevBiodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University, Durham, NC, 27708, USA.
Alexander KulminskiBiodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University, Durham, NC, 27708, USA.
Igor AkushevichBiodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University, Durham, NC, 27708, USA.
Deqing WuBiodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University, Durham, NC, 27708, USA.
Gaurang JoshiUniversity at Buffalo School of Medicine and Biomedical Sciences, Buffalo, NY, USA.
Kenneth C LandBiodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University, Durham, NC, 27708, USA.
Eric StallardBiodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University, Durham, NC, 27708, USA.

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
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
NIA NIH HHS P01 AG043352NIA NIH HHS P01AG043352NIA NIH HHS P30 AG034424NIA NIH HHS R01 AG046860NIA NIH HHS R01AG046860NIA NIH HHS RF1 AG046860
6 · The paper itself

Abstract

Complex diseases are major contributors to human mortality in old age. Paradoxically, many genetic variants that have been associated with increased risks of such diseases are found in genomes of long-lived people, and do not seem to compromise longevity. Here we argue that trade-off-like and conditional effects of genes can play central role in this phenomenon and in determining longevity. Such effects may occur as result of: (i) antagonistic influence of gene on the development of different health disorders; (ii) change in the effect of gene on vulnerability to death with age (especially, from "bad" to "good"); (iii) gene-gene interaction; and (iv) gene-environment interaction, among other factors. A review of current knowledge provides many examples of genetic factors that may increase the risk of one disease but reduce chances of developing another serious health condition, or improve survival from it. Factors that may increase risk of a major disease but attenuate manifestation of physical senescence are also discussed. Overall, available evidence suggests that the influence of a genetic variant on longevity may be negative, neutral or positive, depending on a delicate balance of the detrimental and beneficial effects of such variant on multiple health and aging related traits. This balance may change with age, internal and external environments, and depend on genetic surrounding. We conclude that trade-off-like and conditional genetic effects are very common and may result in situations when a disease "risk allele" can also be a pro-longevity variant, depending on context. We emphasize importance of considering such effects in both aging research and disease prevention.

Indexed as

Age DistributionAgingAllelesGene FrequencyGenetic Predisposition to DiseaseGenetic VariationHumansLongevityModels, GeneticRisk FactorsSurvival RateAge-specific influenceAgingComplex diseaseConditional effectsEpistasisGene–environment interactionGenetic risk factorsLongevityPhysical senescenceTrade-offs

Identifiers

PMID26306600
PMCPMC4724477

What Socratic 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 Socratic graph.