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A Familial Hypercholesterolemia Human Liver Chimeric Mouse Model Using Induced Pluripotent Stem Cell-derived Hepatocytes
Published on: September 15, 2018
The use of next-generation sequencing in clinical diagnosis of familial hypercholesterolemia
Jana Vandrovcova1, Ellen R A Thomas, Santosh S Atanur
1MRC Clinical Sciences Centre, Faculty of Medicine, Imperial College London, London, UK.
Insights
Next-generation sequencing with target enrichment offers a sensitive and specific method for diagnosing familial hypercholesterolemia (FH). This approach improves molecular diagnosis rates for FH, aiding in early detection and treatment.
Area of Science:
- Genetics
- Molecular Biology
- Cardiovascular Disease
Background:
- Familial hypercholesterolemia (FH) is a common genetic disorder leading to early-onset coronary heart disease.
- Current diagnostic methods for FH are often costly and time-consuming, leaving many UK cases undiagnosed.
- Molecular diagnosis is crucial for effective FH management and treatment with cholesterol-lowering drugs.
Purpose of the Study:
- To evaluate the sensitivity and specificity of two next-generation sequencing (NGS) protocols for FH genetic diagnosis.
- To compare the SureSelect Target Enrichment System and the Access Array platform for FH variant detection.
- To assess the diagnostic yield of these NGS methods in a prospective cohort of suspected FH patients.
Main Methods:
- Two target enrichment protocols were employed for library preparation: SureSelect and Access Array.
- Next-generation sequencing was performed on samples from validation and prospective cohorts.
- Sensitivity and specificity for short variant detection were calculated; large deletions/duplications were also assessed.
Main Results:
- Both NGS protocols demonstrated 100% specificity for FH genetic diagnosis.
- SureSelect achieved 100% sensitivity for short variants, while Access Array achieved 98%; only SureSelect detected large deletions/duplications.
- In the prospective cohort, Access Array identified mutations in 67% of definite FH cases and 26% of possible FH cases.
Conclusions:
- Target enrichment combined with NGS is a viable strategy for molecular diagnosis of familial hypercholesterolemia.
- Implementing these NGS assays can enhance cost-effectiveness and increase the number of patients receiving a molecular FH diagnosis.
- Improved diagnostic capabilities can facilitate timely intervention for individuals with suspected FH.
Purpose:
Familial hypercholesterolemia is a common Mendelian disorder associated with early-onset coronary heart disease that can be treated by cholesterol-lowering drugs. The majority of cases in the United Kingdom are currently without a molecular diagnosis, which is partly due to the cost and time associated with standard screening techniques. The main purpose of this study was to test the sensitivity and specificity of two next-generation sequencing protocols for genetic diagnosis of familial hypercholesterolemia.
Methods:
Libraries were prepared for next-generation sequencing by two target enrichment protocols; one using the SureSelect Target Enrichment System and the other using the PCR-based Access Array platform.
Results:
In the validation cohort, both protocols showed 100% specificity, whereas the sensitivity for short variant detection was 100% for the SureSelect Target Enrichment and 98% for the Access Array protocol. Large deletions/duplications were only detected using the SureSelect Target Enrichment protocol. In the prospective cohort, the mutation detection rate using the Access Array was highest in patients with clinically definite familial hypercholesterolemia (67%), followed by patients with possible familial hypercholesterolemia (26%).
Conclusion:
We have shown the potential of target enrichment methods combined with next-generation sequencing for molecular diagnosis of familial hypercholesterolemia. Adopting these assays for patients with suspected familial hypercholesterolemia could improve cost-effectiveness and increase the overall number of patients with a molecular diagnosis.
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