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Abstract Title
Genetic Profiling of Familial Hypercholesterolemia in an Indonesian Cohort
Presentation Type
Poster Presentation
Type Reference
Scientific Research Abstract
Abstract Category
Cardiovascular/Lipid
Author's Information
Number of Authors (including submitting/presenting author) *
10
No more than 15 authors can be listed (as per the Good Publication Practice (GPP) Guidelines).
Please ensure the authors are listed in the right order.
Co-author 1
Mentari Kasih mentarikasih@rscm.co.id RSCM CRU Jakarta Indonesia *
Co-author 2
Ekvan Danang ekvan.danang@rscm.co.id RSCM CRU Jakarta Indonesia -
Co-author 3
Dyahati Wahyurini dyahati.wahyurini@rscm.co.id RSCM CRU Jakarta Indonesia -
Co-author 4
Ardy Wildan ardywildan@rscm.co.id RSCM CRU Jakarta Indonesia -
Co-author 5
Selvi Nafisa Shahab selvishahab@rscm.co.id RSCM CRU Jakarta Indonesia -
Co-author 6
Dicky Levenus Tahapary dicky.tahapary@ui.ac.id RSCM CRU Jakarta Indonesia -
Co-author 7
Harfi Maulana harfimaulana@rscm.co.id RSCM CRU Jakarta Indonesia -
Co-author 8
Shahnaz Mutia Dewi shahnazmutia@rscm.co.id RSCM CRU Jakarta Indonesia -
Co-author 9
Nabilla Zeinia Sudrajat nabillazeinia@rscm.co.id RSCM CRU Jakarta Indonesia -
Co-author 10
Robert Sinto robertsinto@rscm.co.id RSM CRU Jakarta Indonesia -
Co-author 11
-
Co-author 12
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Co-author 13
-
Co-author 14
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Co-author 15
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Abstract Content
Background and aims *
Familial hypercholesterolemia (FH) is a common genetic disorder characterized by elevated LDL cholesterol and increased risk of premature cardiovascular disease. The genetic landscape of FH in the Indonesian population remains largely uncharacterized.
Methods *
We analyzed 486 Indonesian participants with whole genome sequencing (WGS) and LDL data from the Genesis-ID cohort at Biobank RSUPN Dr. Cipto Mangunkusumo. WGS was performed by BB Binomika, Ministry of Health Indonesia, using Illumina Novaseq 6000 with average coverage ≥30X. Primary and secondary analyses up to variant calling (VCF) were conducted by BB Binomika, while tertiary analyses including variant annotation, filtering, and interpretation were performed by the Clinical Research Unit at RSUPN Dr. Cipto Mangunkusumo. Variant annotation was performed using VEP (ENSEMBL v114.2) with additional ClinVar database annotations (2025-02-27), followed by manual curation using gnomAD v4 and SpliceAI predictions. Variants were filtered based on relevance to FH genes (LDLR, PCSK9, APOB, LDLRAP1) and interpreted according to ACMG (2015) and ClinGen FH Expert Panel specifications v1.2.
Results *
Among the participants, FH variants were classified as benign (n=433, 89.1%), likely benign (n=7, 1.4%), variants of uncertain significance (VUS n=55, 11.3%), likely pathogenic (n=1, 0.2%), and pathogenic (n=4, 0.8%). Pathogenic variants were identified in LDLR and a likely pathogenic variant in APOB. LDLR pathogenic variants included c.13028_13029del (p.Tyr4343CysfsTer3), c.718C>T (p.Gln240Ter), c.1120G>A (p.Glu374Lys), and c.918del (p.Asp307ThrfsTer44), while the APOB likely pathogenic variant was c.718C>T (p.Gln240Ter). Median LDL levels, adjusted for lipid-lowering therapy, ranged between 129–229 mg/dL depending on FH category. DLCN scores incorporating clinical history reflected elevated risk for individuals with pathogenic or likely pathogenic variants.
Conclusions *
This study provides the first comprehensive overview of FH genetic profiles in an Indonesian cohort. Integrating genetic testing with clinical evaluation, LDL-adjusted measurements, and DLCN scoring allows for accurate diagnosis, risk stratification, and personalized management of FH in Indonesia. Early identification of pathogenic variants in LDLR and APOB supports targeted intervention and highlights the need for national strategies to implement genetic screening and precision management for FH patients.
Keyword(s)
Familial Hypercholesterolemia; Indonesia
Figure 1
https://storage.unitedwebnetwork.com/files/1305/52ad9c16bb6ea6ecddfda996acceaf55.png
Figure 1 Caption
Total Word Count
349
Presenting Author First Name
Mentari
Presenting Author Last Name
Kasih
Presenting Author Email
mentarikasih@rscm.co.id
Country (Internal Use)
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