ABSTRACT
Iron overload is associated with acquired and genetic conditions, the most common being hereditary hemochromatosis (HH) type-I, caused by HFE mutations. Here, we conducted a hospital-based case-control study of 41 patients from the São Miguel Island (Azores, Portugal), six belonging to a family with HH type-I pseudodominant inheritance, and 35 unrelated individuals fulfilling the biochemical criteria of iron overload compatible with HH type-I. For this purpose, we analyzed the most common HFE mutations- c.845G>A [p.Cys282Tyr], c.187C>G [p.His63Asp], and c.193A>T [p.Ser65Cys]. Results revealed that the family's HH pseudodominant pattern is due to consanguineous marriage of HFE-c.845G>A carriers, and to marriage with a genetically unrelated spouse that is a -c.187G carrier. Regarding unrelated patients, six were homozygous for c.845A, and three were c.845A/c.187G compound heterozygous. We then performed sequencing of HFE exons 2, 4, 5 and their intron-flanking regions. No other mutations were observed, but we identified the -c.340+4C [IVS2+4C] splice variant in 26 (74.3%) patients. Functionally, the c.340+4C may generate alternative splicing by HFE exon 2 skipping and consequently, a protein missing the α1-domain essential for HFE/ transferrin receptor-1 interactions. Finally, we investigated HFE mutations configuration with iron overload by determining haplotypes and genotypic profiles. Results evidenced that carriers of HFE-c.187G allele also carry -c.340+4C, suggesting in-cis configuration. This data is corroborated by the association analysis where carriers of the complex allele HFE-c.[187C>G;340+4T>C] have an increased iron overload risk (RR = 2.08, 95% CI = 1.40-2.94, p<0.001). Therefore, homozygous for this complex allele are at risk of having iron overload because they will produce two altered proteins--the p.63Asp [c.187G], and the protein lacking 88 amino acids encoded by exon 2. In summary, we provide evidence that the complex allele HFE-c.[187C>G;340+4T>C] has a role, as genetic predisposition factor, on iron overload in the São Miguel population. Independent replication studies in other populations are needed to confirm this association.
Subject(s)
Heterozygote , Histocompatibility Antigens Class I/genetics , Iron Overload/genetics , Membrane Proteins/genetics , Adolescent , Adult , Aged , Alleles , Azores/epidemiology , Case-Control Studies , Consanguinity , Female , Genetic Predisposition to Disease/genetics , HLA-A Antigens/genetics , HLA-B Antigens/genetics , Hemochromatosis Protein , Homozygote , Humans , Male , Middle Aged , Mutation/genetics , Risk Factors , Young AdultABSTRACT
Knowledge of population ancestry from genetic markers is essential, for example, to understand the history of human migration and to carry out admixture and association studies. Here we assess the genome ancestry of the Azorean population through analysis of six Alu polymorphic sites (TPA-25, ACE, APO, B65, PV92, and D1) in 65 Azoreans and 30 Portuguese unrelated blood donors and compare data for the Y-chromosome and mtDNA. Allele frequencies were calculated by direct counting. Statistical analysis was performed using Arlequin 2.0. Nei's genetic distance was calculated with DISPAN software, and trees were constructed by neighbor joining (NJ) using PHYLIP 3.63. The results show that all Alu insertions were polymorphic. APO is the closest to fixation. The less frequent insertions are PV92 and D1 in the Azores and Portugal, respectively. ACE and TPA-25 show the highest values of heterozygosity in both populations. Allele frequencies are very similar to those obtained in European populations. These results are validated by the Y-chromosome and mtDNA data, where the majority of the maternal and paternal lineages are European. Overall, these data are reflected in the phylogenetic tree, in which the Azoreans and the Portuguese branch with Catalans, Andalusians, Moroccans, and Algerians. We conclude that the population of the Azores shows no significant genetic differences from that of mainland Portugal and that it is an outbred population. Moreover, the data validate the use of Alu insertion polymorphisms to assess the origin and history of human populations.