Background Evidence suggests that LPA risk genotypes are a possible contributor to the clinical diagnosis of familial hypercholesterolemia (FH). This study aimed at determining the prevalence of LPA risk variants in adult individuals with FH enrolled in the Italian LIPIGEN (Lipid Transport Disorders Italian Genetic Network) study, with (FH/M+) or without (FH/M-) a causative genetic variant. Methods and ResultsAn lp(a) [lipoprotein(a)] genetic score was calculated by summing the number risk-increasing alleles inherited at rs3798220 and rs10455872 variants. Overall, in the 4.6% of 1695 patients with clinically diagnosed FH, the phenotype was not explained by a monogenic or polygenic cause but by genotype associated with high lp(a) levels. Among 765 subjects with FH/M- and 930 subjects with FH/M+, 133 (17.4%) and 95 (10.2%) were characterized by 1 copy of either rs10455872 or rs3798220 or 2 copies of either rs10455872 or rs3798220 (lp(a) score >= 1). Subjects with FH/M- also had lower mean levels of pretreatment low-density lipoprotein cholesterol than individuals with FH/M+ (t test for difference in means between FH/M- and FH/M+ groups <0.0001); however, subjects with FH/M- and lp(a) score >= 1 had higher mean (SD) pretreatment low-density lipoprotein cholesterol levels (223.47 [50.40] mg/dL) compared with subjects with FH/M- and lp(a) score=0 (219.38 [54.54] mg/dL for), although not statistically significant. The adjustment of low-density lipoprotein cholesterol levels based on lp(a) concentration reduced from 68% to 42% the proportion of subjects with low-density lipoprotein cholesterol level >= 190 mg/dL (or from 68% to 50%, considering a more conservative formula). ConclusionsOur study supports the importance of measuring lp(a) to perform the diagnosis of FH appropriately and to exclude that the observed phenotype is driven by elevated levels of lp(a) before performing the genetic test for FH.

Lipoprotein(a) Genotype Influences the Clinical Diagnosis of Familial Hypercholesterolemia

Passaro A.
Membro del Collaboration Group
;
Capatti E.
Membro del Collaboration Group
2023

Abstract

Background Evidence suggests that LPA risk genotypes are a possible contributor to the clinical diagnosis of familial hypercholesterolemia (FH). This study aimed at determining the prevalence of LPA risk variants in adult individuals with FH enrolled in the Italian LIPIGEN (Lipid Transport Disorders Italian Genetic Network) study, with (FH/M+) or without (FH/M-) a causative genetic variant. Methods and ResultsAn lp(a) [lipoprotein(a)] genetic score was calculated by summing the number risk-increasing alleles inherited at rs3798220 and rs10455872 variants. Overall, in the 4.6% of 1695 patients with clinically diagnosed FH, the phenotype was not explained by a monogenic or polygenic cause but by genotype associated with high lp(a) levels. Among 765 subjects with FH/M- and 930 subjects with FH/M+, 133 (17.4%) and 95 (10.2%) were characterized by 1 copy of either rs10455872 or rs3798220 or 2 copies of either rs10455872 or rs3798220 (lp(a) score >= 1). Subjects with FH/M- also had lower mean levels of pretreatment low-density lipoprotein cholesterol than individuals with FH/M+ (t test for difference in means between FH/M- and FH/M+ groups <0.0001); however, subjects with FH/M- and lp(a) score >= 1 had higher mean (SD) pretreatment low-density lipoprotein cholesterol levels (223.47 [50.40] mg/dL) compared with subjects with FH/M- and lp(a) score=0 (219.38 [54.54] mg/dL for), although not statistically significant. The adjustment of low-density lipoprotein cholesterol levels based on lp(a) concentration reduced from 68% to 42% the proportion of subjects with low-density lipoprotein cholesterol level >= 190 mg/dL (or from 68% to 50%, considering a more conservative formula). ConclusionsOur study supports the importance of measuring lp(a) to perform the diagnosis of FH appropriately and to exclude that the observed phenotype is driven by elevated levels of lp(a) before performing the genetic test for FH.
2023
Olmastroni, E.; Gazzotti, M.; Averna, M.; Arca, M.; Tarugi, P.; Calandra, S.; Bertolini, S.; Catapano, A. L.; Casula, M.; D’Erasmo, L.; Cefalu, A. B.; Bartuli, A.; Buonuomo, P. S.; Benso, A.; Beccuti, G.; Biasucci, G.; Capra, M. E.; Biolo, G.; Vinci, P.; Bonanni, L.; Borghi, C.; D’Addato, S.; Bossi, A. C.; Meregalli, G.; Branchi, A.; Calabro, P.; Carubbi, F.; Nascimbeni, F.; Cipollone, F.; Bucci, M.; Citroni, N.; Del Ben, M.; Baratta, F.; Federici, M.; Montagna, M.; Ferri, C.; Notargiacomo, S.; Fiorenza, A. M.; Colombo, E.; Fortunato, G.; Di Taranto, M. D.; Giaccari, A.; Moffa, S.; Giorgino, F.; Di Molfetta, S.; Guardamagna, O.; De Sanctis, L.; Iannuzzi, A.; Cavallaro, R.; Iannuzzo, G.; Gentile, M.; Iughetti, L.; Bruzzi, P.; Lia, S.; Lupi, A.; Mandraffino, G.; Toscano, A.; Marcucci, R.; Berteotti, M.; Maroni, L.; Locatelli, F.; Montalcini, T.; Mombelli, G.; Muntoni, S.; Baldera, D.; Parati, G.; Passaro, A.; Pecchioli, V.; Pederiva, C.; Banderali, G.; Pipolo, A.; D’Elia, D.; Pirro, M.; Bianconi, V.; Pisciotta, L.; Formisano, E.; Purrello, F.; Scicali, R.; Repetti, E.; Cantino, E.; Rinaldi, E.; Sani, E.; Sarzani, R.; Spannella, F.; Sbrana, F.; Dal Pino, B.; Suppressa, P.; Cocco, V.; Trenti, C.; Negri, E. A.; Werba, J. P.; Romandini, A.; Zambon, S.; Zambon, A.; Zenti, M. G.; Fainelli, G.; Pellegatta, F.; Grigore, L.; Bonomo, K.; Capatti, E.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2534212
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