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Whole exome sequencing and 12-SNP LDL polygenic score in South Indian patients with familial hypercholesterolemia

Abraham, N; P, PV; Menon, U; Bhavani, N; Nair, V; Futema, M; Bhaskaran, R; Menon, R; Sekhar, S; Krishnan, S; et al. Abraham, N; P, PV; Menon, U; Bhavani, N; Nair, V; Futema, M; Bhaskaran, R; Menon, R; Sekhar, S; Krishnan, S; Kumar, H; Nair, DR (2026) Whole exome sequencing and 12-SNP LDL polygenic score in South Indian patients with familial hypercholesterolemia. Scientific Reports. ISSN 2045-2322 https://doi.org/10.1038/s41598-026-40367-z
SGUL Authors: Futema, Marta

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Abstract

Heterozygous familial hypercholesterolemia (FH), a monogenic cause for premature coronary artery disease (CAD) is often underdiagnosed. In individuals who meet the FH diagnostic criteria and lack pathogenic variants, polygenic factors are recognized as potential contributors. This study aimed to characterize the spectrum of genetic variants and determine the low-density lipoprotein polygenic risk score (LDL-PRS) among clinically diagnosed FH participants from South India. We recruited 116 unrelated participants with a pretreatment LDL- C concentration ≥ 190 mg/dl and a DLCN (Dutch Lipid Clinic Network) score ≥ 3. Targeted next-generation sequencing (NGS) of 23 lipid related genes and 12-SNP (Single nucleotide polymorphism) genotyping were performed. NGS identified 39 variants including 13 pathogenic and 26 variants of unknown significance (VUS) some of which were in non-classical genes: ABCG5, ABCG8, APOE, PPP1R17, SREBF2. Pathogenic variants were detected in 66.7% of those with definite FH,19.7% in probable FH and 2.7% in possible FH. Overall,66% were variant negative. Among variant negative (FH/V-) participants, 64% demonstrated high LDL-PRS, whereas 70% of variant positive participants also exhibited elevated scores; suggesting a contributory role of polygenic factors across both groups. Additionally, the observation that variant positive individuals with high LDL-PRS have an increased risk of coronary artery disease (CAD) adds important nuance to risk stratification within genetically confirmed FH patients. Confirmation of diagnosis by genetic testing is essential for the diagnosis of FH. Although LDL-PRS may offer little benefit in variant negative cases and improve CAD risk prediction in variant positive individuals, large scale studies are essential to validate its clinical utility and assess whether inclusion of additional LDL- raising SNPs could enhance the detection of polygenic FH in the Indian population.

Item Type: Article
Additional Information: © The Author(s) 2026. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
Keywords: Familial hypercholesterolemia, India, LDL- PRS, Monogenic, Polygenic, Variant
SGUL Research Institute / Research Centre: Academic Structure > Cardiovascular & Genomics Research Institute
Academic Structure > Cardiovascular & Genomics Research Institute > Experimental Cardiology
Journal or Publication Title: Scientific Reports
ISSN: 2045-2322
Language: en
Media of Output: Print-Electronic
Related URLs:
Publisher License: Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0
PubMed ID: 41764281
Dates:
Date Event
2026-02-28 Published Online
2026-02-12 Accepted
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/118513
Publisher's version: https://doi.org/10.1038/s41598-026-40367-z

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