Evidence map›Paper›PMID 32753092›Full record

ArticleComparative medicine2020

Robert F Oldt, Kimberly J Bussey, Matthew L Settles, Joseph N Fass, Jeffrey A Roberts, J Rachel Reader, Srivathsan Komandoor, Victor A Abrich, Sreetharan Kanthaswamy

Open access · greenAbstract read
In one paragraph

Article in Comparative medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 84% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

9 authors at 3 institutions in 1 country.

Robert F OldtSchool of Mathematical and Natural Sciences, Arizona State University at the West Campus, Glendale, Arizona; Evolutionary Biology Graduate Program, School of Life Sciences, Arizona State University at the West Campus, Glendale, Arizona;, Email: roldt@asu.edu.
Kimberly J BusseySchool of Mathematical and Natural Sciences, Arizona State University at the West Campus, Glendale, Arizona; BEYOND Center for Fundamental Concepts in Science, Arizona State University at the West Campus, Glendale, Arizona.
Matthew L SettlesBioinformatics Core, UC Davis Genome Center, University of California, Davis, California.
Joseph N FassBioinformatics Core, UC Davis Genome Center, University of California, Davis, California.
Jeffrey A RobertsCalifornia National Primate Research Center, University of California, Davis, California.
J Rachel ReaderCalifornia National Primate Research Center, University of California, Davis, California.
Srivathsan KomandoorDivision of Cardiovascular Diseases, Mayo Clinic, Scottsdale, Arizona.
Victor A AbrichDivision of Cardiovascular Diseases, Mayo Clinic, Scottsdale, Arizona.
Sreetharan KanthaswamySchool of Mathematical and Natural Sciences, Arizona State University at the West Campus, Glendale, Arizona; Evolutionary Biology Graduate Program, School of Life Sciences, Arizona State University at the West Campus, Glendale, Arizona; California National Primate Research Center, University of California, Davis, California.
University of California, Davis · USArizona State University · USMayo Clinic in Arizona · US

Funding

National Institute on Aging (NIA) ColonyP51OD011107 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Simon J. Atkinson · 2012 to 2026
$191.5M
NIH HHS P51 OD011107
6 · The paper itself

Abstract

In humans, abnormal thickening of the left ventricle of the heart clinically defines hypertrophic cardiomyopathy (HCM), a common inherited cardiovascular disorder that can precede a sudden cardiac death event. The wide range of clinical presentations in HCM obscures genetic variants that may influence an individual's susceptibility to sudden cardiac death. Although exon sequencing of major sarcomere genes can be used to detect high-impact causal mutations, this strategy is successful in only half of patient cases. The incidence of left ventricular hypertrophy (LVH) in a managed research colony of rhesus macaques provides an excellent comparative model in which to explore the genomic etiology of severe HCM and sudden cardiac death. Because no rhesus HCM-associated mutations have been reported, we used a next-generation genotyping assay that targets 7 sarcomeric rhesus genes within 63 genomic sites that are orthologous to human genomic regions known to harbor HCM disease variants. Amplicon sequencing was performed on 52 macaques with confirmed LVH and 42 unrelated, unaffected animals representing both the Indian and Chinese rhesus macaque subspecies. Bias-reduced logistic regression uncovered a risk haplotype in the rhesus

Indexed as

Cardiomyopathy, HypertrophicCarrier ProteinsAnimalsCatsHaplotypesHumansMacaca mulattaMutationCarrier Proteins

Identifiers

PMID32753092
PMCPMC7574221
OpenAlexW3047546325

What OpenQuestion 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 OpenQuestion graph.