Evidence map›Paper›PMID 27683205›Full record

ArticleAging cell2017

Uncoupling associations of risk alleles with endophenotypes and phenotypes: insights from the ApoB locus and heart-related traits.

Alexander M Kulminski, Yelena Kernogitski, Irina Culminskaya, Yury Loika, Konstantin G Arbeev, Olivia Bagley, Matt Duan, Liubov Arbeeva, Svetlana V Ukraintseva, Deqing Wu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Genetic Association Studies of Age-Related Traits: New Perspectives.Advances in geriatric medicine and research · 2021
    Article
  7. 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
  8. Article
  9. Article
  10. Article
  11. 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

12 authors at 2 institutions in 1 country.

Alexander M KulminskiBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, USA.
Yelena KernogitskiBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, USA.
Irina CulminskayaBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, USA.
Yury LoikaBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, USA.
Konstantin G ArbeevBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, USA.
Olivia BagleyBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, USA.
Matt DuanBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, USA.
Liubov ArbeevaBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, USA.
Svetlana V UkraintsevaBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, USA.
Deqing WuBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, USA.
Eric StallardBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, USA.
Anatoliy I YashinBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, 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 SCOTT M. LYNCH · 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
NIA NIH HHS P01 AG043352NIA NIH HHS P30 AG034424NIA NIH HHS R01 AG047310
6 · The paper itself

Abstract

Traditionally, genomewide association studies (GWAS) have emphasized the benefits of large samples in the analyses of age-related traits rather than their specific properties. We adopted a realistic concept of genetic susceptibility to inherently heterogeneous, age-related traits driven by the elusive role of evolution in their properties. We analyzed in detail the associations of rs693 and rs562338 polymorphisms representing the Apolipoprotein B locus with endophenotypes (total cholesterol [TC] and high-density lipoprotein cholesterol) and phenotypes (myocardial infarction [MI] and survival) in four large-scale studies, which include 20 748 individuals with 2357 MI events. We showed that a strong, robust predisposition of rs693 and rs562338 to TC (β = 0.72, P = 7.7 × 10

Indexed as

AllelesGenetic Association StudiesGenetic LociGenetic Predisposition to DiseaseAdolescentAdultAged, 80 and overApolipoproteins BChildChild, PreschoolEndophenotypesHeartHumansMiddle AgedMyocardial InfarctionPolymorphism, Single NucleotideApolipoproteins BagingApoB polymorphismendophenotypeshealthspanlifespantrade-offs

Identifiers

PMID27683205
PMCPMC5242299
OpenAlexW2418299387

What OpenQuestion 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 OpenQuestion graph.