Diagnosis of Familial Hypercholesterolemia in Children: From Clinical Features Through Gene Variants to Polygenic Score

In children selected by LDL-C ≥ 95th percentile, together with autosomal dominant familial hypercholesterolemia, genetic confirmation of FH is achieved in the vast majority of cases. Variant type (null vs. defective), BMI, and polygenic background contribute to phenotypic heterogeneity, supporting the need to address other factors alongside genetic diagnosis. Further validation is needed before polygenic scores can be implemented in routine clinical practice.

Authors

Institutions

Publication Details

Journal
Genes
Published
2026-02-26
DOI
https://doi.org/10.3390/genes17030267
Primary Topic
Lipoproteins and Cardiovascular Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diagnosis of Familial Hypercholesterolemia in Children: From Clinical Features Through Gene Variants to Polygenic Score

Ornella Guardamagna, Maria Donata Di Taranto, Giovanna Cardiero, Raffaele Buganza et al.
Genes
Lipoproteins and Cardiovascular Health
article

Diagnosis of Familial Hypercholesterolemia in Children: From Clinical Features Through Gene Variants to Polygenic Score

Ornella Guardamagna, Maria Donata Di Taranto, Giovanna Cardiero, Raffaele Buganza, Cecilia Nobili, Giulia Massini
article en

Abstract

In children selected by LDL-C ≥ 95th percentile, together with autosomal dominant familial hypercholesterolemia, genetic confirmation of FH is achieved in the vast majority of cases. Variant type (null vs. defective), BMI, and polygenic background contribute to phenotypic heterogeneity, supporting the need to address other factors alongside genetic diagnosis. Further validation is needed before polygenic scores can be implemented in routine clinical practice.

GenesVol. 17(3)
CEINGE Biotecnologie Avanzate Franco Salvatore (Italy) (IT), Ospedale Regina Margherita (IT), University of Naples Federico II (IT)
Good health and well-being
Openalex Percentile: Top 43%
Lipoproteins and Cardiovascular Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.