Evidence map›Paper›PMID 23616601›Full record

ArticleCirculation. Cardiovascular genetics2013

Putting pleiotropy and selection into context defines a new paradigm for interpreting genetic data.

Irene M Predazzi, Antonis Rokas, Amos Deinard, Nathalie Schnetz-Boutaud, Nicholas D Williams, William S Bush, Alessandra Tacconelli, Klaus Friedrich, Sergio Fazio, Giuseppe Novelli and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Circulation. Cardiovascular genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Epigenetic clocks and programmatic aging.Ageing research reviews · 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

13 authors at 5 institutions in 2 countries.

Irene M PredazziDivision of Cardiovascular Medicine, Section of Cardiovascular Disease Prevention, Vanderbilt University Medical Center, Nashville, TN 37232, USA. irene.m.predazzi@vanderbilt.edu
Antonis Rokas
Amos Deinard
Nathalie Schnetz-Boutaud
Nicholas D Williams
William S Bush
Alessandra Tacconelli
Klaus Friedrich
Sergio Fazio
Giuseppe Novelli
Jonathan L Haines
Giorgio Sirugo
Scott M Williams
Ospedale San Pietro Fatebenefratelli · ITUniversity of Minnesota · USItalian National Agency for the Evaluation of Universities and Research Institutes · ITVanderbilt University · USFondazione Roma · IT

Funding

TRAINING GRANT IN MECHANISMS OF VASCULAR DISEASET32HL007751 · NHLBI · VANDERBILT UNIVERSITY · PI BOCK, PAUL E · 1994 to 2014
$6.6M
FUNCTIONAL HIERARCHY OF REMNANT LIPOPROTEIN RECEPTORSR01HL057986 · NHLBI · VANDERBILT UNIVERSITY · PI FAZIO, SERGIO · 1998 to 2016
$6.2M
PCSK9, Lipoprotein receptors, and AtherosclerosisR01HL106845 · NHLBI · VANDERBILT UNIVERSITY · PI FAZIO, SERGIO · 2011 to 2014
$2.0M
NHLBI NIH HHS 2T32HL007751-16A2NHLBI NIH HHS HL106845NHLBI NIH HHS R01 HL057986NHLBI NIH HHS R01 HL106845NHLBI NIH HHS T32 HL007751
6 · The paper itself

Abstract

backgroundNatural selection shapes many human genes, including some related to complex diseases. Understanding how selection affects genes, especially pleiotropic ones, may be important in evaluating disease associations and the role played by environmental variation. This may be of particular interest for genes with antagonistic roles that cause divergent patterns of selection. The lectin-like low-density lipoprotein 1 receptor, encoded by OLR1, is exemplary. It has antagonistic functions in the cardiovascular and immune systems because the same protein domain binds oxidized low-density lipoprotein and bacterial cell wall proteins, the former contributing to atherosclerosis and the latter presumably protecting from infection. We studied patterns of selection in this gene, in humans and nonhuman primates, to determine whether variable selection can lead to conflicting results in cardiovascular disease association studies. METHODS AND

resultsWe analyzed sequences from 11 nonhuman primate species, as well as single-nucleotide polymorphisms and sequence data from multiple human populations. Results indicate that the derived allele is favored across primate lineages (probably because of recent positive selection). However, both the derived and ancestral alleles were maintained in human populations, especially European ones (possibly because of balancing selection derived from dual roles of LOX-1). Balancing selection likely reflects response to diverse environmental pressures among humans.

conclusionsThese data indicate that differential selection patterns, within and between species, in OLR1 render association studies difficult to replicate even if the gene is etiologically connected to cardiovascular disease. Selection analyses can identify genes exhibiting gene-environment interactions critical for unraveling disease association.

Indexed as

Genetic PleiotropySelection, GeneticAllelesAnimalsData MiningEvolution, MolecularGenetics, PopulationHumansIntronsPhylogenyPolymorphism, Single NucleotidePrimatesScavenger Receptors, Class EScavenger Receptors, Class Eevolutiongeneticsimmune systemlipoproteinsLOX-1 receptorPleitropic gene

Identifiers

PMID23616601
PMCPMC3889706
OpenAlexW2169702890

What OpenQuestion holds

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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.