Evidence mapPaperPMID 41249832Full record

ArticleEuropean journal of human genetics : EJHG2026

Enhancing the detection of familial hypercholesterolaemia in general practice: A model for supporting genetic cascade testing in the community.

Jing Pang, Wendy Barnett, Jane Purdie, Jennifer A Della-Vedova, Annmarie Woodward, Damon A Bell, Amanda J Hooper, Dick C Chan, Andrew C Martin, Kristen J Nowak and 2 more

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Jing PangMedical School, University of Western Australia, Western Australia, Perth, Australia.ORCID 0000-0002-9700-6948
Wendy BarnettLipid Disorders Clinic, Cardiometabolic Services, Department of Cardiology, Royal Perth Hospital, Western Australia, Perth, Australia.
Jane PurdieLipid Disorders Clinic, Cardiometabolic Services, Department of Cardiology, Royal Perth Hospital, Western Australia, Perth, Australia.
Jennifer A Della-VedovaLipid Disorders Clinic, Cardiometabolic Services, Department of Cardiology, Royal Perth Hospital, Western Australia, Perth, Australia.
Annmarie WoodwardLipid Disorders Clinic, Cardiometabolic Services, Department of Cardiology, Royal Perth Hospital, Western Australia, Perth, Australia.
Damon A BellMedical School, University of Western Australia, Western Australia, Perth, Australia.
Amanda J HooperMedical School, University of Western Australia, Western Australia, Perth, Australia.ORCID 0000-0002-2171-1288
Dick C ChanMedical School, University of Western Australia, Western Australia, Perth, Australia.
Andrew C MartinMedical School, University of Western Australia, Western Australia, Perth, Australia.
Kristen J NowakOffice of Population Health Genomics, Public and Aboriginal Health Division, Department of Health, Western Australia, Perth, Australia.
Jacquie Garton-SmithHealth Networks, Clinical Excellence Division, Department of Health, Western Australia, Perth, Australia.ORCID 0000-0001-6012-5209
Gerald F WattsMedical School, University of Western Australia, Western Australia, Perth, Australia. gerald.watts@uwa.edu.au.ORCID 0000-0003-2276-1524

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Familial hypercholesterolaemia (FH) is a common, co-dominant cause of premature coronary artery disease that remains under-recognised worldwide. Genetic testing, the most accurate diagnostic method, is particularly valuable in the cascade testing of close blood relatives, but there is little experience in general practice. We developed a tertiary-primary shared care model to identify genetic FH among first-degree relatives (FDRs) of FH index cases. Service and clinical outcomes were assessed. From a total of 153 FDRs of 90 adult FH index cases, 105 (corresponding to 64 index cases) undertook genetic testing by their general practitioner (GP). Median age of the FDRs was 14.8 years (range 3-79 years), 54% being male, 80% Caucasian, 61% children/adolescents, and 80% progeny. The number of new FDRs with a pathogenic variant per index case was 0.89 (95% CI, 0.69-1.10), with an uptake and yield of testing of 95% and 50%, respectively. Relatives with a pathogenic variant had significantly higher LDL-cholesterol than those without (5.9 ± 1.8 vs. 2.7 ± 0.9 mmol/L, p < 0.001). Among 31 relatives initiated on treatment after a genetic diagnosis, a 46% reduction in LDL-cholesterol was achieved with 45% attaining guideline-directed goals. Genetic cascade testing of FDRs of index cases with FH is feasible and effective in a shared-care model in which GPs are supported by a tertiary centre. These preliminary findings inform the development of centralised and sustained models of care, with implications for the detection of FH in communities.

Indexed as

General PracticeGenetic TestingHyperlipoproteinemia Type IIAdolescentAdultAgedChildChild, PreschoolCholesterol, LDLFemaleHumansMaleMiddle AgedYoung AdultCholesterol, LDL

Identifiers

PMID41249832
PMCPMC12858875

What Socratic holds

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Registered trials

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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 Socratic graph.