Academic Editor: Peter A. McCullough
Familial Hypercolesterolemia (FH; MIM 143890 and 603813) is a group of inherited
genetic defects characterized by abnormal plasma levels of Low-Density
Lipoprotein (LDL) cholesterol (
Beyond identifying a therapeutic and druggable target gene, human genetics could help to evaluate the probable efficacy and safety of the pharmacologic modulation. Previous works addressing the diagnostic yield of genetic testing in FH have focused on subjects with FH clinically ascertained or suspected; they showed that the FH mutation prevalence has slightly wide ranged (from 20% to 80% [7, 8]). This aspect might be due to different ascertainment of the phenotypes by making use of family history, elevated LDL cholesterol at a young age, physical examination features or referral to specialized clinics, each of which may enrich for monogenic causes. Of note, if the ascertainment from the general population is made solely on the serum LDL cholesterol levels, the extent to which FH mutations contribute to severe hypercholesterolemia is largely unknown. Such knowledge may inform the design and effectiveness of universal general population FH screening proposals.
Nowadays, molecular genetics is far from being performed on an ivory tower but -vice versa- throughout new chemistries and new sequencing platforms can be easily incorporated into clinical pathology laboratories’ workflow especially for diseases such as FH and oncology (both inherited and acquired) [8, 9].
We analyzed by means of Next Generations Sequencing (NGS) four FH genes
(LDLR, APOB, PCSK9 and LDLRAP1), in our single
referral center (Parma hinterland, Italy) for more than 10 years enrolling 3025
consecutive participants both for primary (LDL cholesterol
Among 3025 caucasians participants, we found that a considerable fraction (757 patients; 25.05%) carried an FH mutation. Moreover, patients who carried an FH mutation were at substantially higher risk for CAD than those who did not for each stratum of LDL cholesterol. This increased CAD risk among mutation carriers can be explained partially by a greater cumulative lifetime exposure to raised LDL cholesterol.
These results permit the following conclusions: (a) when participants were
solely ascertained for abnormal LDL cholesterol level (
Finally, these data might also provide insights on how to clinically define FH.
In a consolidated fashion, FH refers to elevated LDL cholesterol with an
underlying mutation/s in any of several genes segregating in
an autosomal dominant/recessive manner. Differnet approaches that incorporate two features,
LDL cholesterol threshold and mutation definition, affect FH prevalence
estimates. By solely making use of untreated LDL cholesterol
In the case of routine genetic testing is not available, several clinical scoring systems, such as Simon Broome, Dutch Lipid Clinical Network, and MEDPED criteria, have been developed to approximate FH status [5]. However, we strongly support the incorporation of NGS into a laboratory workflow for several reasons: (a) can be easily automated; (b) costs are dropping down; (c) analysis algorithms are automated too. We are not minimizing the presence of genetics laboratories, on the contrary because genetics is a powerful tool, it should be handled in a more generalized laboratory setting when it comes to common diseases such as FH to improve patients’ diagnosis and prognosis.
The primary goal of precision medicine is the use of molecular diagnostics to identify those individuals within a given population at increased CAD risk and in which to deliver a tailored intervention. Systematic efforts—molecular genetics included—to identify and treat severely hypercholesterolemic patients who carry an FH mutation could represent one such opportunity.
NM, AM conceived and wrote the manuscript; SF, CR provided clinical cases and criticized the manuscript; MI supervised the writing activities. All authors read and approved the final manuscript.
Not applicable.
We would like to express our gratitude to all those who helped us during the writing of this manuscript.
This research was funded by ASI SUTURE project, grant number DC-WM-7016-068.
The authors declare no conflict of interest.