Hk. Jensen et al., Spectrum of LDL receptor gene mutations in Denmark: implications for molecular diagnostic strategy in heterozygous familial hypercholesterolemia, ATHEROSCLER, 146(2), 1999, pp. 337-344
Citations number
45
Categorie Soggetti
Cardiovascular & Respiratory Systems","Cardiovascular & Hematology Research
Heterozygous familial hypercholesterolemia (FH) is one of the most common p
otentially fatal single-gene diseases leading to premature coronary artery
disease, but the majority of heterozygous FH patients have not been diagnos
ed. FH is due to mutations in the gene coding for the low-density lipoprote
in (LDL) receptor, and molecular genetic diagnosis may facilitate identific
ation of more FH subjects. The Danish spectrum of 29 different mutations, f
ive of which account for almost half of heterozygous FH, is intermediate be
tween that of countries such as South Africa, where three mutations cause 9
5% of heterozgous FH in the Afrikaners, and Germany or England, where there
are many more mutations. In clinical practice, a strategy for the genetic
diagnosis of heterozygous FH, tailored to the mutational spectrum of patien
ts likely to be seen at the particular hospital/region of the country, will
be more efficient than screening of the whole LDL receptor gene by techniq
ues such as single-strand conformation polymorphism (SSCP) analysis in ever
y heterozygous FH candidate. In Aarhus, Denmark, we have chosen to examine
all heterozygous FH candidates for the five most common LDL receptor gene m
utations (W23X, W66G, W556S, 313 + 1G --> A, 1846 - 1G --> A) and the apoB-
3500 mutation by rapid restriction fragment analysis. Negative samples are
examined for other mutations by SSCP analysis followed by DNA sequencing of
the exon indicated by SSCP to contain a mutation. If no point mutation or
small insertion/deletion is detected, Southern blot or Long PCR analysis is
performed to look for the presence of large gene rearrangements. In conclu
sion, our data suggest that an efficient molecular diagnostic strategy depe
nds on the composition of common and rare mutations in a population. (C) 19
99 Elsevier Science Ireland Ltd. All rights reserved.