Evidence map›Paper›PMID 31134135›Full record

ArticleFrontiers in genetics2019

Pleiotropic Meta-Analysis of Age-Related Phenotypes Addressing Evolutionary Uncertainty in Their Molecular Mechanisms.

Alexander M Kulminski, Yury Loika, Jian Huang, Konstantin G Arbeev, Olivia Bagley, Svetlana Ukraintseva, Anatoliy I Yashin, Irina Culminskaya

Abstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Genetic Association Studies of Age-Related Traits: New Perspectives.Advances in geriatric medicine and research · 2021
    Article
  8. Article
  9. Quantitative and Qualitative Role of Antagonistic Heterogeneity in Genetics of Blood Lipids.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
    Article
  10. 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

8 authors.

Alexander M KulminskiBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States.
Yury LoikaBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States.
Jian HuangBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States.
Konstantin G ArbeevBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States.
Olivia BagleyBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States.
Svetlana UkraintsevaBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States.
Anatoliy I YashinBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States.
Irina CulminskayaBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States.

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
Molecular signatures of health and life span disparities between whites and African-Americans in the APOE regionR01AG047310 · NIA · DUKE UNIVERSITY · PI KULMINSKI, ALEXANDER M · 2015 to 2019
$2.5M
Explanations of Racial Disparities in Active LifeR03HD050374 · NICHD · PRINCETON UNIVERSITY · PI LYNCH, SCOTT M · 2005 to 2006
$156k
NIA NIH HHS P01 AG043352NIA NIH HHS P30 AG034424NIA NIH HHS R01 AG047310NICHD NIH HHS R03 HD050374
6 · The paper itself

Abstract

Age-related phenotypes are characterized by genetic heterogeneity attributed to an uncertain role of evolution in establishing their molecular mechanisms. Here, we performed univariate and pleiotropic meta-analyses of 24 age-related phenotypes dealing with such evolutionary uncertainty and leveraging longitudinal information. Our analysis identified 237 novel single nucleotide polymorphisms (SNPs) in 199 loci with phenotype-specific (61 SNPs) and pleiotropic (176 SNPs) associations and replicated associations for 160 SNPs in 68 loci in a modest sample of 26,371 individuals from five longitudinal studies. Most pleiotropic associations (65.3%, 115 of 176 SNPs) were impacted by heterogeneity, with the natural-selection-free genetic heterogeneity as its inevitable component. This pleiotropic heterogeneity was dominated (93%, 107 of 115 SNPs) by antagonistic genetic heterogeneity, a phenomenon that is characterized by antagonistic directions of genetic effects for directly correlated phenotypes. Genetic association studies of age-related phenotypes addressing the evolutionary uncertainty in establishing their molecular mechanisms have power to substantially improve the efficiency of the analyses. A dominant form of heterogeneous pleiotropy, antagonistic genetic heterogeneity, provides unprecedented insight into the genetic origin of age-related phenotypes and side effects in medical care that is counter-intuitive in medical genetics but naturally expected when molecular mechanisms of age-related phenotypes are not due to direct evolutionary selection.

Indexed as

age-related phenotypesaginggenetic association studiesgenetic heterogeneityhealth spanlife spanpleiotropy

Identifiers

PMID31134135
PMCPMC6524409

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.