Evidence map›Paper›PMID 31566214›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2020

Quantitative and Qualitative Role of Antagonistic Heterogeneity in Genetics of Blood Lipids.

Alexander M Kulminski, Yury Loika, Alireza Nazarian, Irina Culminskaya

Open access · greenAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2020. 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
0.9field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Dysfunctional VLDL metabolism in MASLD.npj metabolic health and disease · 2024
    Review
  4. Article
  5. Article
  6. Genes · 2022
    Article
  7. Article
  8. Article
  9. Growth Hormone and Aging: New Findings.The world journal of men's health · 2021
    Review
  10. Genetic Association Studies of Age-Related Traits: New Perspectives.Advances in geriatric medicine and research · 2021
    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

4 authors at 1 institution in 1 country.

Alexander M KulminskiBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina.
Yury LoikaBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina.
Alireza NazarianBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina.
Irina CulminskayaBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina.
Social Science Research Council · US

Funding

Relationships among Genetic Regulators of Aging Health and LifespanP01AG043352 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2014 to 2018
$8.7M
ApoE2 and protective molecular signatures in Alzheimer's disease and agingR01AG061853 · NIA · DUKE UNIVERSITY · PI KULMINSKI, ALEXANDER M · 2018 to 2022
$3.9M
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 R01 AG047310NIA NIH HHS R01 AG061853
6 · The paper itself

Abstract

Prevailing strategies in genome-wide association studies (GWAS) mostly rely on principles of medical genetics emphasizing one gene, one function, one phenotype concept. Here, we performed GWAS of blood lipids leveraging a new systemic concept emphasizing complexity of genetic predisposition to such phenotypes. We focused on total cholesterol, low- and high-density lipoprotein cholesterols, and triglycerides available for 29,902 individuals of European ancestry from seven independent studies, men and women combined. To implement the new concept, we leveraged the inherent heterogeneity in genetic predisposition to such complex phenotypes and emphasized a new counter intuitive phenomenon of antagonistic genetic heterogeneity, which is characterized by misalignment of the directions of genetic effects and the phenotype correlation. This analysis identified 37 loci associated with blood lipids but only one locus, FBXO33, was not reported in previous top GWAS. We, however, found strong effect of antagonistic heterogeneity that leaded to profound (quantitative and qualitative) changes in the associations with blood lipids in most, 25 of 37 or 68%, loci. These changes suggested new roles for some genes, which functions were considered as well established such as GCKR, SIK3 (APOA1 locus), LIPC, LIPG, among the others. The antagonistic heterogeneity highlighted a new class of genetic associations emphasizing beneficial and adverse trade-offs in predisposition to lipids. Our results argue that rigorous analyses dissecting heterogeneity in genetic predisposition to complex traits such as lipids beyond those implemented in current GWAS are required to facilitate translation of genetic discoveries into health care.

Indexed as

AgedCholesterolCholesterol, HDLCholesterol, LDLF-Box ProteinsFemaleGenetic MarkersGenome, HumanGenome-Wide Association StudyGenotypeHumansLipidsMaleMultifactorial InheritancePhenotypeTriglyceridesCholesterolCholesterol, HDLCholesterol, LDLF-Box ProteinsGenetic MarkersLipidsTriglyceridesAge-related phenotypesAgingGenome-wide association studiesHealth spanLife spanPleiotropy

Identifiers

PMID31566214
PMCPMC7518561
OpenAlexW2978252897

What OpenQuestion holds

Textmetadata
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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.