Improving the cost effectiveness equation of cascade testing for Familial Hypercholesterolaemia (FH)

Purpose of Review : Many International recommendations for the management of Familial Hypercholesterolaemia (FH) propose the use of Cascade Testing (CT) using the family mutation to unambiguously identify affected relatives. In the current economic climate DNA information is often regarded as too expensive. Here we review the literature and suggest strategies to improve cost effectiveness of CT. Recent findings : Advances in next generation sequencing have both speeded up the time taken for a genetic diagnosis and reduced costs. Also, it is now clear that, in the majority of patients with a clinical diagnosis of FH where no mutation can be found, the most likely cause of their elevated LDL-cholesterol (LDL-C) is because they have inherited a greater number than average of common LDL-C raising variants in many different genes. The major cost driver for CT is not DNA testing but of treatment over the remaining lifetime of the identified relative. With potent statins now off-patent, the overall cost has reduced considerably, and combining these three factors, a FH service based around DNA-CT is now less than 25% of that estimated by NICE in 2009. Summary : While all patients with a clinical diagnosis of FH need to have their LDL-C lowered, CT should be focused on those with the monogenic form and not the polygenic form

Would raising the total cholesterol diagnostic cut-off from 7.5 mmol/L to 9.3 mmol/L improve detection rate of patients with monogenic familial hypercholesterolaemia?

A previous report suggested that 88% of individuals in the general population with total cholesterol (TC)>9.3mmol/L have familial hypercholesterolaemia (FH). We tested this hypothesis in a cohort of 4896 UK civil servants, mean (SD) age 44 (±6) years, using next generation sequencing to achieve a comprehensive genetic diagnosis. 25 (0.5%) participants (mean age 49.2 years) had baseline TC>9.3mmol/L, and overall we found an FH-causing mutation in the LDLR gene in seven (28%) subjects. The detection rate increased to 39% by excluding eight participants with triglyceride levels over 2.3mmol/L, and reached 75% in those with TC>10.4mmol/L. By extrapolation, the detection rate would be ~25% by including all participants with TC>8.6mmol/L (2.5 standard deviations from the mean). Based on the 1/500 FH frequency, 30% of all FH-cases in this cohort would be missed using the 9.3mmol/L cut-off. Given that an overall detection rate of 25% is considered economically acceptable, these data suggest that a diagnostic TC cut-off of 8.6mmol/L, rather than 9.3mmol/L would be clinically useful for FH in the general population

Genetic testing for Familial Hypercholesterolaemia - Past, Present and Future

In the early 1980s, the Nobel Prize winning cellular and molecular work of Mike Brown and Joe Goldstein led to the identification of the Low Density Lipoprotein Receptor (LDLR) gene as the first gene where mutations cause the Familial Hypercholesterolaemia (FH) phenotype. We now know that autosomal dominant monogenic FH can be caused by pathogenic variants of three additional genes (APOB/PCSK9/APOE), and that the plasma LDL-C concentration and risk of premature Coronary Heart Disease (CHD) differs according to the specific locus and associated molecular cause. It is now possible to use Next Generation Sequencing (NGS) to sequence all exons of all four genes, processing 96 patient samples in one sequencing run, increasing the speed of test results and reducing costs. This has resulted in the identification of many novel FH-causing variants, but also some "Variants of Unknown Significance (VUSs)" which require further evidence to classify as pathogenic or benign. The identification of the FH-causing variant in an index case can be used as an unambiguous and rapid test for other family members. An FH-causing variant can be found in 20%-40% of patients with the FH phenotype, and we now appreciate that in the majority of patients without a monogenic cause, a polygenic aetiology for their phenotype is highly likely. Compared to those with a monogenic cause, these patients have significantly lower risk of future CHD. The use of these molecular genetic diagnostic methods in the characterization of FH is a prime example of the utility of precision or personalised medicine

The Genetic Architecture of Familial Hypercholesterolaemia

Familial Hypercholesterolaemia (FH) is a common autosomal dominant disorder of the defective plasma clearance of LDL-cholesterol. Mutations in three genes, LDLR/APOB/PCSK9, can be detected in 60-90% of definite FH patients. DNA-based testing for FH mutations has important clinical utility and is recommended by the UK and European guidelines to identify affected relatives. This thesis aimed to determine the frequency and spectrum of FH mutations in two independent cohorts of FH patients (from one Oxford lipid clinic, and of Indian background). The FH mutation spectrum was shown to be highly heterogeneous and the mutation detection rate was significantly dependent on the pre-treatment total cholesterol and triglyceride levels. This project also validated the findings that a proportion of clinically diagnosed FH patients have a polygenic cause of hypercholesterolaemia due to an accumulation of common mild LDL-C-raising alleles by analysing LDL-C gene score in 88 mutation negative and 21 mutation positive FH patients, and by replicating the results in further 231 FH patients. A high-throughput DNA sequencing method was assessed as a novel diagnostic tool for detection of FH mutations, and compared it with the currently used methods. This highlighted the need for updating the current FH mutation screening methods as well as the need for more efficient bioinformatics for the next generation sequencing data analysis. Lastly, whole exome sequencing of 125 definite FH patients with no mutations detected in known genes was performed to identify novel monogenic causes of FH. Variants in two genes, CH25H and INSIG2, were identified as potential novel FH mutations. Overall, the results of this thesis demonstrate the heterogeneous FH aetiology and help to understand the genetic architecture of the disease

Prevalence of FH-Causing Variants and Impact on LDL-C Concentration in European, South Asian, and African Ancestry Groups of the UK Biobank

Background: Familial hypercholesterolemia (FH) is a monogenic disease that causes high low-density lipoprotein cholesterol (LDL-C) and higher risk of premature coronary heart disease. The prevalence of FH-causing variants and their association with LDL-C in non-European populations remains largely unknown. Using DNA diagnosis in a population-based cohort, we aimed to estimate the prevalence of FH across 3 major ancestry groups in the United Kingdom. Methods: Principal component analysis was used to distinguish genetic ancestry in UK Biobank participants. Whole exome sequencing data were analyzed to provide a genetic diagnosis of FH. LDL-C concentrations were adjusted for statin use. Results: Principal component analysis distinguished 140 439 European, 4067 South Asian, and 3906 African participants with lipid and whole exome sequencing data. There were significant differences between the 3 groups, including total and LDL-C concentrations, and prevalence and incidence of coronary heart disease. We identified 488, 18, and 15 participants of European, South Asian, and African ancestry carrying a likely pathogenic or pathogenic FH-variant. No statistical difference in the prevalence of an FH-causing variant was observed: 1 out of 288 (95% CI, 1/316–1/264) in European, 1 out of 260 (95% CI, 1/526–1/173) in African, and 1 out of 226 (95% CI, 1/419–1/155) in South Asian. Carriers of an FH-causing variant had significantly higher LDL-C concentration than noncarriers in every ancestry group. There was no difference in mean (statin-use adjusted) LDL-C concentration in FH-variant carriers depending on their ancestry background. Self-reported statin use was nonsignificantly highest in FH-variant carriers of South Asian ancestry (55.6%), followed by African (40.0%) and European (33.8%; P=0.15). Conclusions: The prevalence of FH-causing variants in the UK Biobank is similar across the ancestry groups analyzed. Despite overall differences in lipid concentrations, FH-variant carriers across the 3 ancestry groups had similar LDL-C levels. In all ancestry groups, the proportion of FH-variant carriers treated with lipid-lowering therapy should be improved to reduce future risk of premature coronary heart disease

Prevalence of TTR variants detected by whole-exome sequencing in hypertrophic cardiomyopathy

BACKGROUND: A proportion of patients with hypertrophic cardiomyopathy (HCM) have a diagnosis of cardiac amyloidosis. Hereditary transthyretin amyloid cardiomyopathy (ATTRv-CM) is caused by mutations in the TTR gene. Our aim was to study the prevalence of potentially amyloidogenic TTR variants in a whole-exome sequencing (WES) study of a large HCM cohort. METHODS AND RESULTS: 770 consecutive HCM probands underwent WES and clinical characterisation. Patients with rare or known pathogenic variants in TTR underwent 99mTechnetium labelled 3,3-diphosphono-1,2-propanodicarboxylic acid (DPD) scintigraphy and were retrospectively re-assessed for clinical features of amyloidosis. Two patients had rare TTR variants of unknown significance and four had the known pathogenic V122I (p.V142I) variant (one homozygous and also heterozygous for a likely pathogenic MYL3 variant and another double heterozygous for a likely pathogenic MYBPC3 variant). Four out of 6 patients with TTR variants underwent DPD scintigraphy; the only positive study was in the patient with the homozygous V122I (p.V142I) variant. CONCLUSIONS: Pathogenic TTR variants are rare in carefully assessed HCM patients and may occur in double heterozygosity with pathogenic sarcomere variants. The lack of evidence for an amyloidosis phenotype in all but one TTR variant carrier illustrates the importance of complete clinical evaluation of HCM patients that harbour pathogenic TTR variants

The familial hypercholesterolaemia phenotype: Monogenic familial hypercholesterolaemia, polygenic hypercholesterolaemia and other causes

Familial Hypercholesterolaemia (FH) is a monogenic disorder characterised by high LDL-C concentrations and increased cardiovascular risk. However, in clinically defined FH cohorts worldwide, an FH-causing variant is only found in 40-50% of the cases. The aim of this work was to characterise the genetic cause of the FH phenotype in Portuguese clinical FH patients. Methods and Results Between 1999 and 2017, 731 index patients (311 children and 420 adults) who met the Simon Broome diagnostic criteria had been referred to our laboratory. LDLR, APOB, PCSK9, APOE, LIPA, LDLRAP1, ABCG5/8 genes were analysed by PCR amplification and Sanger sequencing. The 6-SNP LDL-C genetic risk score (GRS) for polygenic hypercholesterolaemia was validated in the Portuguese population and cases with a GRS over the 25th percentile were considered to have a high likelihood of polygenic hypercholesterolaemia. An FH-causing mutation was found in 39% of patients (94% in LDLR, 5% APOB and 1% PCSK9), while at least 29% have polygenic hypercholesterolaemia and 1% have other lipid disorders. A genetic cause for the FH phenotype was found in 503 patients (69%). All known causes of the FH phenotype should be investigated in FH cohorts to ensure accurate diagnosis and appropriate management. This article is protected by copyright. All rights reserved

FH phenotype: monogenic, polygenic and other causes

Familial Hypercholesterolaemia (FH) is a monogenic disorder characterised by high LDL-C concentrations and increased cardiovascular risk. However, in clinically defined FH cohorts worldwide, an FH-causing variant is only found in 40-50% of the cases. The aim of this work was to characterise the genetic cause of the FH phenotype in Portuguese clinical FH patients. Methods and Results Between 1999 and 2017, 731 index patients (311 children and 420 adults) who met the Simon Broome diagnostic criteria had been referred to our laboratory. LDLR, APOB, PCSK9, APOE, LIPA, LDLRAP1, ABCG5/8 genes were analysed by PCR amplification and Sanger sequencing. The 6-SNP LDL-C genetic risk score (GRS) for polygenic hypercholesterolaemia was validated in the Portuguese population and cases with a GRS over the 25th percentile were considered to have a high likelihood of polygenic hypercholesterolaemia. An FH-causing mutation was found in 39% of patients (94% in LDLR, 5% APOB and 1% PCSK9), while at least 29% have polygenic hypercholesterolaemia and 1% have other lipid disorders. A genetic cause for the FH phenotype was found in 503 patients (69%). All known causes of the FH phenotype should be investigated in FH cohorts to ensure accurate diagnosis and appropriate management.Cibelle Mariano was supported by a PhD student grant [SFRH/BD/52494/2014]. Marta Futema is supported by the Fondation Leducq Transatlantic Networks of Excellence Program grant (no 14 CVD03). The work of Marilia Antunes is partially funded by UID/MAT/000016/2019. SEH acknowledges funding from the British Heart Foundation grant (BHF PG08/008) and from the NIHR UCLH BRC. MB acknowledges funding from Science and Technology Foundation (PIC/IC/83020/2007) (PIC/IC/83333/2007) for the e_COR and Portuguese FH Study and from Portuguese Cardiology Society for the Portuguese FH Study.info:eu-repo/semantics/publishedVersio

Variants within TSC2 exons 25 and 31 are very unlikely to cause clinically diagnosable tuberous sclerosis

Inactivating mutations in TSC1 and TSC2 cause tuberous sclerosis complex (TSC). The 2012 international consensus meeting on TSC diagnosis and management agreed that the identification of a pathogenic TSC1 or TSC2 variant establishes a diagnosis of TSC, even in the absence of clinical signs. However, exons 25 and 31 of TSC2 are subject to alternative splicing. No variants causing clinically diagnosed TSC have been reported in these exons raising the possibility that such variants would not cause TSC. We present truncating and in-frame variants in exons 25 and 31 in three individuals unlikely to fulfil TSC diagnostic criteria and examine the importance of these exons in TSC using different approaches. Amino acid conservation analysis suggests significantly less conservation in these exons compared to the majority of TSC2 exons, and TSC2 expression data demonstrates that the majority of TSC2 transcripts lack exons 25 and/or 31 in many human adult tissues. In vitro assay of both exons shows that neither exon is essential for TSC complex function. Our evidence suggests that variants in TSC2 exons 25 or 31 are very unlikely to cause classical TSC, although a role for these exons in tissue/stage specific development cannot be excluded