Evidence map›Paper›PMID 30255797›Full record

ArticleBMC medical genomics2018

Frequency and phenotype consequence of APOC3 rare variants in patients with very low triglyceride levels.

Dana C Crawford, Nicole A Restrepo, Kirsten E Diggins, Eric Farber-Eger, Quinn S Wells

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Article in BMC medical genomics, 2018. 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
–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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Dana C CrawfordDepartment of Population and Quantitative Health Sciences, Institute for Computational Biology, Case Western Reserve University, 2103 Cornell Road, Wolstein Research Building, Suite 2-527, Cleveland, OH, 44106, USA. dana.crawford@case.edu.
Nicole A RestrepoDepartment of Population and Quantitative Health Sciences, Institute for Computational Biology, Case Western Reserve University, 2103 Cornell Road, Wolstein Research Building, Suite 2-527, Cleveland, OH, 44106, USA.
Kirsten E DigginsCancer Biology, Vanderbilt University School of Medicine, Nashville, TN, USA.
Eric Farber-EgerVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
Quinn S WellsDepartments of Medicine and Pharmacology, Vanderbilt University Medical Center, Nashville, TN, USA.

Funding

VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
NCATS NIH HHS UL1 TR000445NCRR NIH HHS UL1 RR024975
6 · The paper itself

Abstract

backgroundHigh levels of triglycerides (TG ≥200 mg/dL) are an emerging risk factor for cardiovascular disease. Conversely, very low levels of TG are associated with decreased risk for cardiovascular disease. Precision medicine aims to capitalize on recent findings that rare variants such as APOC3 R19X (rs76353203) are associated with risk of disease, but it is unclear how population-based associations can be best translated in clinical settings at the individual-patient level.

methodsTo explore the potential usefulness of screening for genetic predictors of cardiovascular disease, we surveyed BioVU, the Vanderbilt University Medical Center's biorepository linked to de-identified electronic health records (EHRs), for APOC3 19X mutations among adult European American patients (> 45 and > 55 years of age for men and women, respectively) with the lowest percentile of TG levels. The initial search identified 262 patients with the lowest TG levels in the biorepository; among these, 184 patients with sufficient DNA and the lowest TG levels were chosen for Illumina ExomeChip genotyping.

resultsA total of two patients were identified as heterozygotes of APOC3 R19X for a minor allele frequency (MAF) of 0.55% in this patient population. Both heterozygous patients had only a single mention of TG in the EHR (31 and 35 mg/dL, respectively), and one patient had evidence of previous cardiovascular disease.

conclusionsIn this patient population, we identified two patients who were carriers of the APOC3 19X null variant, but only one lacked evidence of disease in the EHR highlighting the challenges of inclusion of functional or previously associated genetic variation in clinical risk assessment.

Indexed as

Polymorphism, Single NucleotideApolipoprotein C-IIICardiovascular DiseasesElectronic Health RecordsFemaleFollow-Up StudiesGene FrequencyGenotypeHeterozygoteHumansMaleMiddle AgedPhenotypePrognosisTriglyceridesApolipoprotein C-IIITriglyceridesAPOC3BiobankElectronic health recordsPrecision medicineTriglycerides

Identifiers

PMID30255797
PMCPMC6156840

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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 OpenQuestion graph.