Evidence map›Paper›PMID 29779130›Full record

ReviewCurrent atherosclerosis reports2018

The Present and the Future of Genetic Testing in Familial Hypercholesterolemia: Opportunities and Caveats.

Amanda J Hooper, John R Burnett, Damon A Bell, Gerald F Watts

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current atherosclerosis reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

8 citing papers in PubMed.

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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

4 authors.

Amanda J HooperDepartment of Clinical Biochemistry, PathWest Laboratory Medicine WA, Royal Perth Hospital & Fiona Stanley Hospital Network, Perth, Australia.
John R BurnettDepartment of Clinical Biochemistry, PathWest Laboratory Medicine WA, Royal Perth Hospital & Fiona Stanley Hospital Network, Perth, Australia.
Damon A BellDepartment of Clinical Biochemistry, PathWest Laboratory Medicine WA, Royal Perth Hospital & Fiona Stanley Hospital Network, Perth, Australia.
Gerald F WattsSchool of Medicine, Royal Perth Hospital, University of Western Australia, GPO Box X2213, Perth, WA, 6847, Australia. gerald.watts@uwa.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewWe summarize recent advances in the understanding of genetic testing in familial hypercholesterolemia (FH), the use of expanded FH next-generation sequencing panels, and directions for future research. RECENT

findingsThe uptake of massively parallel sequencing in research and diagnostic laboratories has enabled expanded testing for FH and its phenocopies, with the added advantage that copy number variants can be detected. However, increasing the number of genes tested increases the number of variants detected, which may or may not be pathogenic. Guidelines for assessing variant pathogenicity will assist the provision of accurate and consistent interpretations between centers. Expanded FH panels can identify mutations in other relevant genes, such as APOE, LIPA, and ABCG5/8 and enable the identification of polygenic hypercholesterolemia using LDL genetic risk scores. Increased awareness and understanding of genomics by the public, patients, and health professionals is critical for effectively translating into practice new advances in genetic testing for FH.

Indexed as

DNA Copy Number VariationsForecastingGenetic TestingGenomicsHigh-Throughput Nucleotide SequencingHumansHyperlipoproteinemia Type IIMutationPhenotypeRisk FactorsSequence Analysis, DNAFamilial hypercholesterolemiaGeneticsMassively parallel sequencingNext-generation sequencing

Identifiers

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.