The clinical utility of polygenic risk scores for combined hyperlipidemia.

PURPOSE OF REVIEW: Combined hyperlipidemia is the most common lipid disorder and is strongly polygenic. Given its prevalence and associated risk for atherosclerotic cardiovascular disease, this review describes the potential for utilizing polygenic risk scores for risk prediction and management of combined hyperlipidemia. RECENT FINDINGS: Different diagnostic criteria have led to inconsistent prevalence estimates and missed diagnoses. Given that individuals with combined hyperlipidemia have risk estimates for incident coronary artery disease similar to individuals with familial hypercholesterolemia, early identification and therapeutic management of those affected is crucial. With diagnostic criteria including traits such apolipoprotein B, low-density lipoprotein cholesterol, and triglyceride, polygenic risk scores for these traits strongly associate with combined hyperlipidemia and could be used in combination for clinical risk prediction models and developing specific treatment plans for patients. SUMMARY: Polygenic risk scores are effective tools in risk prediction of combined hyperlipidemia, can provide insight into disease pathophysiology, and may be useful in managing and guiding treatment plans for patients. However, efforts to ensure equitable polygenic risk score performance across different genetic ancestry groups is necessary before clinical implementation in order to prevent the exacerbation of racial disparities in the clinic.

Polygenic architecture and cardiovascular risk of familial combined hyperlipidemia.

BACKGROUND AND AIMS: Familial combined hyperlipidemia (FCHL) is one of the most common inherited lipid phenotypes, characterized by elevated plasma concentrations of apolipoprotein B-100 and triglycerides. The genetic inheritance of FCHL remains poorly understood. The goals of this study were to investigate the polygenetic architecture and cardiovascular risk associated with FCHL. METHODS AND RESULTS: We identified individuals with an FCHL phenotype among 349,222 unrelated participants of European ancestry in the UK Biobank using modified versions of 5 different diagnostic criteria. The prevalence of the FCHL phenotype was 11.44% (n = 39,961), 5.01% (n = 17,485), 1.48% (n = 5,153), 1.10% (n = 3,838), and 0.48% (n = 1,688) according to modified versions of the Consensus Conference, Dutch, Mexico, Brunzell, and Goldstein criteria, respectively. We performed discovery, case-control genome-wide association studies for these different FCHL criteria and identified 175 independent loci associated with FCHL at genome-wide significance. We investigated the association of genetic and clinical risk with FCHL and found that polygenic susceptibility to hypercholesterolemia or hypertriglyceridemia and features of metabolic syndrome were associated with greater prevalence of FCHL. Participants with an FCHL phenotype had a similar risk of incident coronary artery disease compared to participants with monogenic familial hypercholesterolemia (adjusted hazard ratio vs controls [95% confidence interval]: 2.72 [2.31-3.21] and 1.90 [1.30-2.78]). CONCLUSIONS: These results suggest that, rather than being a single genetic entity, the FCHL phenotype represents a polygenic susceptibility to dyslipidemia in combination with metabolic abnormalities. The cardiovascular risk associated with an FCHL phenotype is similar to that of monogenic familial hypercholesterolemia, despite being ∼5x more common.

Familial combined hyperlipidemia is a polygenic trait.

PURPOSE OF REVIEW: : Familial combined hyperlipidemia (FCH), defined by concurrently elevated plasma triglyceride (TG) and low-density lipoprotein (LDL) cholesterol, has long been investigated to characterize its genetic basis. Despite almost half a century of searching, a single gene cause for the phenotype has not yet been identified. RECENT FINDINGS: : Recent studies using next-generation genetic analytic methods confirm that FCH has a polygenic basis, with a clear large contribution from the accumulation of small-to-moderate effect common single nucleotide polymorphisms (SNPs) throughout the genome that is associated with raising TG, and probably also those raising LDL cholesterol. On the other hand, rare monogenic variants, such as those causing familial hypercholesterolemia, play a negligible role, if any. Genetic profiling suggests that patients with FCH and hypertriglyceridemia share a strong polygenic basis and show a similar profile of multiple TG-raising common SNPs. SUMMARY: : Recent progress in genomics has shown that most if not all of the genetic susceptibility to FCH is polygenic in nature. Future research should include larger cohort studies, with wider ancestral diversity, ancestry-specific polygenic scores, and investigation of epigenetic and lifestyle factors to help further elucidate the causative agents at play in cases where the genetic etiology remains to be defined.

Genetics of Familial Combined Hyperlipidemia (FCHL) Disorder: An Update.

Familial combined hyperlipidemia (FCHL) is one of the most common familial lipoprotein disorders of the lipoproteins, with a prevalence of 0.5% to 2% in different populations. About 10% of these patients suffer from cardiovascular disease and this number is increased by up to 11.3% in the young survivors of myocardial infarction and by 40% among all the survivors of myocardial infarction. Although initially thought to be that FCHL has an inheritance pattern of monogenic, the disease's etiology is still not fully understood and it appears that FCHL has a complex pattern related to genetic variants, environmental factors, and lifestyles. Two strategies have been used to identify its complex genetic background: candidate gene and the linkage approach, which have yielded an extensive list of genes associated with FCHL with a variable degree of scientific evidence. Until now, more than 30 different genetic variants have been identified related to FCHL. In this study, we aimed to review the individual genes that have been described in FCHL and how these genes and variants can be related to the current concept of metabolic pathways resulting in familial combined hyperlipidemia.

Familial combined hyperlipidaemia/polygenic mixed hyperlipidaemia. / Hiperlipemia familiar combinada/hiperlipemia mixta poligénica.

Familial combined hyperlipidaemia (FCH) is the most prevalent form of familial hyperlipidaemia with a multigenic origin and a complex pattern of inheritance. In this respect, FCH is an oligogenic primary lipid disorder due to interaction of genetic variants and mutations with environmental factors. Patients with FCH are at increased risk of cardiovascular disease and often have other associated metabolic conditions. Despite its relevance in cardiovascular prevention, FCH is frequently underdiagnosed and very often undertreated. In this review, emphasis is placed on the most recent advances in FCH, in order to increase its awareness and ultimately contribute to improving its clinical control.

ANGPTL3 gene variants in subjects with familial combined hyperlipidemia.

Angiopoietin-like 3 (ANGPTL3) plays an important role in lipid metabolism in humans. Loss-of-function variants in ANGPTL3 cause a monogenic disease named familial combined hypolipidemia. However, the potential contribution of ANGPTL3 gene in subjects with familial combined hyperlipidemia (FCHL) has not been studied. For that reason, the aim of this work was to investigate the potential contribution of ANGPTL3 in the aetiology of FCHL by identifying gain-of-function (GOF) genetic variants in the ANGPTL3 gene in FCHL subjects. ANGPTL3 gene was sequenced in 162 unrelated subjects with severe FCHL and 165 normolipemic controls. Pathogenicity of genetic variants was predicted with PredictSNP2 and FruitFly. Frequency of identified variants in FCHL was compared with that of normolipemic controls and that described in the 1000 Genomes Project. No GOF mutations in ANGPTL3 were present in subjects with FCHL. Four variants were identified in FCHL subjects, showing a different frequency from that observed in normolipemic controls: c.607-109T>C, c.607-47_607-46delGT, c.835+41C>A and c.*52_*60del. This last variant, c.*52_*60del, is a microRNA associated sequence in the 3'UTR of ANGPTL3, and it was present 2.7 times more frequently in normolipemic controls than in FCHL subjects. Our research shows that no GOF mutations in ANGPTL3 were found in a large group of unrelated subjects with FCHL.

Translating genetic association of lipid levels for biological and clinical application.

PURPOSE OF REVIEW: This review focuses on the foundational evidence from the last two decades of lipid genetics research and describes the current status of data-driven approaches for transethnic GWAS, fine-mapping, transcriptome informed fine-mapping, and disease prediction. RECENT FINDINGS: Current lipid genetics research aims to understand the association mechanisms and clinical relevance of lipid loci as well as to capture population specific associations found in global ancestries. Recent genome-wide trans-ethnic association meta-analyses have identified 118 novel lipid loci reaching genome-wide significance. Gene-based burden tests of whole exome sequencing data have identified three genes-PCSK9, LDLR, and APOB-with significant rare variant burden associated with familial dyslipidemia. Transcriptome-wide association studies discovered five previously unreported lipid-associated loci. Additionally, the predictive power of genome-wide genetic risk scores amalgamating the polygenic determinants of lipid levels can potentially be used to increase the accuracy of coronary artery disease prediction. CONCLUSIONS: Lipids are one of the most successful group of traits in the era of genome-wide genetic discovery for identification of novel loci and plausible drug targets. However, a substantial fraction of lipid trait heritability remains unexplained. Further analysis of diverse ancestries and state of the art methods for association locus refinement could potentially reveal some of this missing heritability and increase the clinical application of the genomic association results.

A novel variant in LPL gene is associated with familial combined hyperlipidemia.

Familial combined hyperlipidemia (FCHL) is a common genetic disorder characterized by increased fasted serum cholesterol, triglycerides, and apolipoprotein B-100. Molecular genetic techniques such as next generation sequencing have been very successful methods for rare variants finding with a moderate-to large effect. In this study, we characterized a large pedigree from MASHAD study in northeast Iran with coinheritance of FCHL and early-onset coronary heart disease. In this family, we used whole-exome sequencing and Sanger sequencing to determine the disease-associated gene. We identified a novel variant in the LPL gene, leading to a substitution of an asparagine for aspartic acid at position 151. The D151N substitution cosegregated with these characters in all affected family members in the pedigree but it was absent in all unaffected members in this family. We speculated that the mutation D151N in LPL gene might be associated with FCHL and early-onset coronary heart disease in this family. However, the substantial mechanism requires further investigation.

Familial combined hyperlipidemia: An overview of the underlying molecular mechanisms and therapeutic strategies.

Among different types of dyslipidemia, familial combined hyperlipidemia (FCHL) is the most common genetic disorder, which is characterized by at least two different forms of lipid abnormalities: hypercholesterolemia and hypertriglyceridemia. FCHL is an important cause of cardiovascular diseases. FCHL is a heterogeneous condition linked with some metabolic defects that are closely associated with FCHL. These metabolic features include dysfunctional adipose tissue, delayed clearance of triglyceride-rich lipoproteins, overproduction of very low-density lipoprotein and hepatic lipids, and defect in the clearance of low-density lipoprotein particles. There are also some genes associated with FCHL such as those affecting the metabolism and clearance of plasma lipoprotein particles. Due to the high prevalence of FCHL especially in cardiovascular patients, targeted treatment is ideal but this necessitates identification of the genetic background of patients. This review describes the metabolic pathways and associated genes that are implicated in FCHL pathogenesis. We also review existing and novel treatment options for FCHL. © 2019 IUBMB Life, 71(9):1221-1229, 2019.

Molecular mechanisms, prevalence, and molecular methods for familial combined hyperlipidemia disease: A review.

Familial combined hyperlipidemia (FCHL) is the most common genetic dyslipidemia disorder which is accompanied by increasing of triglyceride and cholesterol. This disorder is a complex genetic disease although it also has monogenic forms. The familial form has several criteria for diagnosis that can be distinguished of nonfamilial position. It has been shown that a variety of internal and external risk factors are involved in the pathogenesis of FCHL. Environmental factors and the genetic background also play an important role in the FCHL pathogenesis. Many mechanisms and pathways are involved in lipid metabolism (ie, dysfunctional adipose tissue, hepatic fat and very low-density lipoprotein overproduction, triglyceride-rich lipoproteins, and clearance of low-density lipoprotein particles) that could lead to FCHL. Individuals with a positive family history like those who have a positive family history of cardiovascular diseases are more predispositions for this disorder. To date several methods have been used to identify the genetic background of the FCHL. In the current review, we summarized the prevalence and the molecular mechanisms involved in the FCHL disease. Moreover, we highlighted the used molecular methods for determining the genes involved in the FCHL.

Performance of LDL-C calculated with Martin's formula compared to the Friedewald equation in familial combined hyperlipidemia.

BACKGROUND AND AIMS: A novel method to estimate low density lipoprotein cholesterol (LDL-C) has been proposed by Martin et al. This may permit a more accurate estimation of cardiovascular risk, however, external validation is needed. Here, the performance of LDL-C using this new method (LDL-N) is compared with LDL-C estimated with Friedewald equation (LDL-F) in familial combined hyperlipidemia (FCHL), a common primary dyslipidemia in which apolipoprotein B containing particle composition is abnormal and interferes with LDL-C estimation. METHODS: A total of 410 FCHL subjects were included. LDL-C was estimated with both the Friedewald equation (LDL-F) and the novel formula (LDL-N). Apolipoprotein B levels and non- HDL-C were recorded. The correlation and concordance between LDL-F and LDL-N and both Apolipoprotein B and non-HDL-C levels were calculated. Analysis stratifying for triglyceride tertiles and FCHL lipid phenotypes was also carried out. RESULTS: The correlations between LDL-N and Apo B and non-HDL-C were ρ = 0.777 (95%CI 0.718-0.825) and ρ = 0.735 (95%CI 0.648-0.816), respectively. The corresponding correlations for LDL-F were ρ = 0.551(95%CI 0.454-0.637) and ρ = 0.394 (95%CI 0.253-0.537), respectively. In mixed dyslipidemia or isolated hypertriglyceridemia, these correlations were significantly better using LDL-N. With respect to concordance, LDL-N performed significantly better than LDL-F when considering apoB <90 mg/dL (κLDL-N = 0.495 vs. κLDL-F = 0.165) and non-HDL-C <130 (κLDL-N = 0.724 vs. κLDL-F = 0.253). CONCLUSIONS: In FCHL, LDL-C estimation using Martin's formula showed greater correlation and concordance with non-HDL-C and Apo B compared with the Friedewald equation.

[Familial combined hyperlipidemia - the most common genetic dyslipidemia in population and in patients with premature atherothrombotic cardiovascular disease]. / Familiární kombinovaná hyperlipidemie - nejcastejsí familiární dyslipidemie v bezné populaci i u pacientu s casným výskytem aterotrombotických kardiovaskulárních príhod.

Familial combined hyperlipidemia (FCH) is the most frequent genetic dyslipidemia (DLP) with high risk of early atherosclerosis manifestation. It is characterized by elevated both triglycerides 1.5 mmol/l and apolipoprotein B 1.2 g/l (hyper-TG/hyper-ApoB fenotype), with at least two affected family members. Despite the fact that plasmatic levels of total cholesterol and LDL-C are usually lower than in familial hypercholesterolemia and full expression of DLP in FCH occurs in adulthood, risk of premature manifestation of atherosclerosis is similar in both these familial DLP. It is probably due to the presence of other atherogenic lipid and non-lipid risk factors, such as increased levels of triglyceride rich lipoprotein remnants, presence of small dense LDL, reduction of HDL-C, presence of insulin resistance with impaired glucose homeostasis, hepatic steatosis, arterial hypertension, hyperuricemia and presence of increased markers of systemic inflammation. The term "familial" usually implicates a monogenic trait. However, FCH is almost always nonmendelian. According to recent knowledge FCH is mostly polygenic with variable presence of large effect mutations, accumulation of several small-effect polymorphisms and some environmental influences. Therefore, FCH is rather a syndrome with common clinical presentation but multigenic causes. The term "familial combined hyperlipidemia" is embedded in clinical practice and so it is not necessary to abandon it, as it nearly urges to examination of first degree relatives. This might help to identify a great number of risk subjects who deserve appropriate management.Key words: apolipoprotein B - familial combined hyperlipidemia - genetics - insulin resistance - premature atherosclerosis - triglycerides.

Cholesterol oversynthesis markers define familial combined hyperlipidemia versus other genetic hypercholesterolemias independently of body weight.

Primary hypercholesterolemia of genetic origin, negative for mutations in LDLR, APOB, PCSK9 and APOE genes (non-FH GH), and familial combined hyperlipidemia (FCHL) are polygenic genetic diseases that occur with hypercholesterolemia, and both share a very high cardiovascular risk. In order to better characterize the metabolic abnormalities associated with these primary hypercholesterolemias, we used noncholesterol sterols, as markers of cholesterol metabolism, to determine their potential differences. Hepatic cholesterol synthesis markers (desmosterol and lanosterol) and intestinal cholesterol absorption markers (sitosterol and campesterol) were determined in non-FH GH (n=200), FCHL (n=100) and genetically defined heterozygous familial hypercholesterolemia subjects (FH) (n=100) and in normolipidemic controls (n=100). FCHL subjects had lower cholesterol absorption and higher cholesterol synthesis than non-FH GH, FH and controls (P<.001). When noncholesterol sterols were adjusted by body mass index (BMI), FCHL subjects had higher cholesterol synthesis than non-FG GH, FH and controls (P<.001). An increase in BMI was accompanied by increased cholesterol synthesis and decreased cholesterol absorption in non-FH GH, FH and controls. However, this association between BMI and cholesterol synthesis was not observed in FCHL. Non-high-density-lipoprotein cholesterol showed a positive correlation with cholesterol synthesis markers similar to that of BMI in non-FH GH, FH and normolipemic controls, but there was no correlation in FCHL. These results suggest that FCHL and non-FH GH have different mechanisms of production. Cholesterol synthesis and absorption are dependent of BMI in non-FH GH, but cholesterol synthesis is increased as a pathogenic mechanism in FCHL independently of age, gender, APOE and BMI.

Efficacy of Lomitapide in the Treatment of Familial Homozygous Hypercholesterolemia: Results of a Real-World Clinical Experience in Italy.

INTRODUCTION: Homozygous familial hypercholesterolaemia (HoFH) is a rare form of inherited dyslipidemia resistant to conventional cholesterol-lowering medications so that lipoprotein apheresis (LA) is usually required. Lomitapide has been approved for the treatment of HoFH. The aim of this study was to evaluate the benefits of lomitapide in HoFH patients followed with the usual clinical care. METHODS: Clinical and biochemical data were retrospectively collected in 15 HoFH patients (10 with mutations in the LDLR gene and 5 in the LDLRAP1 gene) treated for at least 6 months with lomitapide in addition to lipid-lowering therapies (LLT) in different Lipid Clinics across Italy. RESULTS: The mean follow-up period was 32.3 ± 29.7 months. During background therapies, HoFH patients showed a mean LDL-C level of 426.0 ± 204.0 mg/dl. The addition of lomitapide at the average dosage of 19 mg/day lowered LDL-C levels by 68.2 ± 24.8%. At their last visit, 60% of patients showed LDL-C <100 mg/dl and 46.6% <70 mg/dl. During follow-up, 8 of 10 patients receiving LA (80%) stopped this treatment due to marked LDL-C reduction. A wide range (13-95%) of individual LDL-C reduction was observed, but this was not related to genotype. During follow-up, 53.3% of patients reported at least one episode of diarrhea, but none was referred as severe; none had liver transaminase >5× ULN or had to stop treatment due to side effects. A subset of patients was evaluated by liver ultrasound and fibroscan (n = 5) or nuclear magnetic resonance with spectroscopy (MRS) (n = 1) not showing clinical evidence of liver damage. CONCLUSION: In this real-world experience, lomitapide was confirmed to be a very powerful cholesterol-lowering agent in HoFH showing a good safety profile.

The Contribution of GWAS Loci in Familial Dyslipidemias.

Familial combined hyperlipidemia (FCH) is a complex and common familial dyslipidemia characterized by elevated total cholesterol and/or triglyceride levels with over five-fold risk of coronary heart disease. The genetic architecture and contribution of rare Mendelian and common variants to FCH susceptibility is unknown. In 53 Finnish FCH families, we genotyped and imputed nine million variants in 715 family members with DNA available. We studied the enrichment of variants previously implicated with monogenic dyslipidemias and/or lipid levels in the general population by comparing allele frequencies between the FCH families and population samples. We also constructed weighted polygenic scores using 212 lipid-associated SNPs and estimated the relative contributions of Mendelian variants and polygenic scores to the risk of FCH in the families. We identified, across the whole allele frequency spectrum, an enrichment of variants known to elevate, and a deficiency of variants known to lower LDL-C and/or TG levels among both probands and affected FCH individuals. The score based on TG associated SNPs was particularly high among affected individuals compared to non-affected family members. Out of 234 affected FCH individuals across the families, seven (3%) carried Mendelian variants and 83 (35%) showed high accumulation of either known LDL-C or TG elevating variants by having either polygenic score over the 90th percentile in the population. The positive predictive value of high score was much higher for affected FCH individuals than for similar sporadic cases in the population. FCH is highly polygenic, supporting the hypothesis that variants across the whole allele frequency spectrum contribute to this complex familial trait. Polygenic SNP panels improve identification of individuals affected with FCH, but their clinical utility remains to be defined.

Infusion of angiotensin II increases fibrinolysis in healthy individuals but not in patients with familial combined hyperlipidemia.

Impaired fibrinolysis is related to insulin resistance, also a characteristic feature of familial combined hyperlipidemia (FCHL). The renin-angiotensin (Ang) system is upregulated with insulin resistance, and there is crosstalk between Ang II and insulin-signalling pathways. We studied the fibrinolytic effects of a 3-h systemic Ang II infusion in 16 patients with FCHL and 16 controls, and placebo infusion in eight individuals. Baseline plasminogen activator inhibitor-1 (PAI-1) activity, plasmin-antiplasmin complex, insulin resistance and C-reactive protein were higher in patients with FCHL than in controls. PAI-1 activity decreased during Ang II, similar in patients with FCHL and controls, and by placebo. Plasmin-antiplasmin complex was unaffected by Ang II in FCHL but increased in controls. Patients with FCHL show signs of insulin resistance, low-grade inflammation and impaired fibrinolysis. Ang II enhances fibrinolysis in controls but not in patients with FCHL, suggesting that patients with FCHL are not capable of increasing tissue plasminogen activator activity in response to Ang II. Ang II has no short-term effects on PAI-1 activity.

Combined hyperlipidemia: familial but not (usually) monogenic.

PURPOSE OF REVIEW: Combined hyperlipidemia (CHL) is a complex phenotype that is commonly encountered clinically and is often associated with the expression of early heart disease. The affixed adjective 'familial' gives the impression that the trait is monogenic, like familial hypercholesterolemia. But despite significant efforts, genetic studies have yielded little evidence of single gene determinants of CHL. RECENT FINDINGS: Sophisticated linkage studies suggest that individual lipid components of the CHL phenotype - such as elevated LDL and triglyceride - each have several determinants that segregate independently in families. Furthermore, DNA sequencing shows that rare large-effect variants in genes such as LDL receptor (LDLR) and lipoprotein lipase are found in some CHL patients, explaining the elevated LDL cholesterol and triglyceride components, respectively. In addition, multiple common small-effect lipid-altering variants accumulate in an individual's genome, raising the LDL cholesterol and/or triglyceride components by multiple mechanisms. Finally, secondary factors, such as poor diet, obesity,fatty liver or diabetes further modulate the expression of the biochemically defined CHL phenotype. SUMMARY: Given the current state of genetic understanding, CHL may be best conceptualized as a syndrome with common clinical presentation but multigenic causes, similar to other common conditions such as type 2 diabetes.

Contribution of mutations in low density lipoprotein receptor (LDLR) and lipoprotein lipase (LPL) genes to familial combined hyperlipidemia (FCHL): a reappraisal by using a resequencing approach.

BACKGROUND: Defective low-density lipoprotein receptor (LDLR) and lipoprotein lipase (LPL) alleles have been implicated in familial combined hyperlipidemia (FCHL). However, their contribution might have been influenced by diagnostic criteria. This study was aimed to reassess the frequency of rare and common variants in LDLR and LPL in FCHL individuals classified with stringent criteria. METHODS: LDLR and LPL were resequenced in 208 FHCL and 171 controls. Variants were classified as loss- (LOF) or gain-of-function (GOF) based upon in silico prediction, familial segregation and available functional data. RESULTS: Eight LOF variants were detected in LDLR, 6 of which were missense and 2 were predicted to disrupt normal splicing; all were present at heterozygous state. They were found in 10 FCHL but not in controls, thus indicating that 4.8% of FCHL individuals should be reclassified as FH. LDL-C (positive) and BMI (negative) were the strongest predictors of LDLR mutations with LDL-C 181 mg/dl being the best threshold for diagnosing the presence of dysfunctional LDLR alleles. The cumulative prevalence of definite LPL defective alleles (1 rare and 2 common heterozygous missense variants) was comparable between FCHL and controls (10.1% vs. 10.5%). Conversely, the LPL GOF variant p.Ser474* showed a lower frequency in FCHL than in controls (13.5% vs. 24.0%, p = 0.008). Overall, LOF LPL variants did not show a TG-modulating effect. CONCLUSIONS: Our findings indicate that, in well characterized FCHL individuals, variants in LDLR and LPL provide a small contribution to this dyslipidemia, thus limiting the need for such genetic testing.

Clinical experience of scoring criteria for Familial Hypercholesterolaemia (FH) genetic testing in Wales.

BACKGROUND/OBJECTIVE: Familial Hypercholesterolaemia (FH) is caused by mutations in genes of the Low Density Lipoprotein (LDL) receptor pathway. A definitive diagnosis of FH can be made by the demonstration of a pathogenic mutation. The Wales FH service has developed scoring criteria to guide selection of patients for DNA testing, for those referred to clinics with hypercholesterolaemia. The criteria are based on a modification of the Dutch Lipid Clinic scoring criteria and utilise a combination of lipid values, physical signs, personal and family history of premature cardiovascular disease. They are intended to provide clinical guidance and enable resources to be targeted in a cost effective manner. METHODS: 623 patients who presented to lipid clinics across Wales had DNA testing following application of these criteria. RESULTS: The proportion of patients with a pathogenic mutation ranged from 4% in those scoring 5 or less up to 85% in those scoring 15 or more. LDL-cholesterol was the strongest discriminatory factor. Scores gained from physical signs, family history, coronary heart disease, and triglycerides also showed a gradient in mutation pick-up rate according to the score. CONCLUSION: These criteria provide a useful tool to guide selection of patients for DNA testing when applied by health professionals who have clinical experience of FH.

Identification of the differentially expressed genes associated with familial combined hyperlipidemia using bioinformatics analysis.

The aim of the present study was to screen the differentially expressed genes (DEGs) associated with familial combined hyperlipidemia (FCHL) and examine the changing patterns. The transcription profile of GSE18965 was obtained from the NCBI Gene Expression Omnibus database, including 12 FCHL samples and 12 control specimens. The DEGs were identified using a linear models for microarray data package in the R programming language. Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was also performed. Protein­protein interaction (PPI) networks of the DEGs were constructed using the EnrichNet online tool. In addition, cluster analysis of the genes in networks was performed using ClusterONE. A total of 879 DEGs were screened, including 394 upregulated and 485 downregulated genes. Enrichment analysis identified four important KEGG pathways associated with FCHL: One carbon pool by folate, α­linolenic acid metabolism, asthma and the glycosphingolipid biosynthesis­globo series. GO annotation identified 12 enriched biological processes, including one associated with hematopoiesis and four associated with bone cell differentiation. This identification was in accordance with clinical data and experiments into hyperlipidemia and bone lesions. Based on PPI networks, these DEGs had a close association with immune responses, hormone responses and cytokine­cytokine receptors. In conclusion, these DEGs may be used as specific therapeutic molecular targets in the treatment of FCHL. The present findings may provide the basis for understanding the pathogenesis of FCHL in future studies. However, further experiments are required to confirm these results.