Sarriá_et_al1 _manuscript_tables_figures_revised 26 06 07.doc

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HAMP, Transferrin (exon 7) and HFE genotyping suggests that haplotype block
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analysis is the best strategy for predicting iron deficiency phenotype in women
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Beatriz Sarriá 1a Ana M López-Parrab, Santiago Navas-Carreteroa, Ana M Pérez-
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Granadosa, Carlos Baezab, Eduardo Arroyo-Pardob and M Pilar Vaqueroa
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a
Department of Metabolism and Nutrition, Instituto del Frío (CSIC) 28040 Madrid, Spain.
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b
Department of Toxicology and Health Legislation, Medicine Faculty (UCM) 28040 Madrid,
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Spain.
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Abstract
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Strategies to draw associations between disease and genes and nutrients are the
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examination of mutations and/or haplotypes. We studied, the relationship between certain
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mutations in HAMP (hepcidin, exon 1, 2 and 3), Tf (transferrin, exon 7) and HFE
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(hemochromatosis, H63D and C282Y) genes, as well as their associations in haplotypes, and
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iron deficiency with or without anemia in young women. One-hundred-and-sixty-two young,
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menstruating women were recruited. Hemoglobin (Hb g/dl), ferritin (Ft μg/l), total iron
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binding capacity, transferrin saturation, hematocrit and mean corpuscular volume were
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determined and subjects were divided in 3 iron status: sufficient (Hb ≥12, Ft ≥20; n=63),
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deficient (Hb≥12, Ft<20 or Hb<12, Ft≥20; n=77) and deficient anemic (Hb <12, Ft<20;
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n=22). Mutations in HAMP gene were detected using single strand conformational
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polymorphism analysis, in exon 7 of the transferrin gene using DNA sequencing and C282Y
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and H63D mutations in HFE gene using restriction enzymes. Among the iron deficient
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women, 8 were G277S/L247L heterozygous (except 1 L247L homozygote) and 1 was I7V
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heterozygous for the mutation in HAMP gene. Among the iron deficient anemic, 3 were
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G277S/L247L/H63D heterozygous (except 1 H63D homozygote) and 1 I7V heterozygote.
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Among the iron sufficient, 2 were G277S/L247L/H63D heterozygous, 1
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G277S/L247L/H268H heterozygote and 2 G277S/L247L heterozygotes. We conclude that: 1)
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the iron deficient anemic group presented the highest proportion of subjects carrying
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mutations 2) there are 3 possible haplotypes G277S /L247L, G277S/L247L/H63D and
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G277S/L247L/H268H, non restricted to any iron status 3) the analysis of haplotypes or
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haplotype blocks is the best strategy to associate genes and iron deficiency.
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Corresponding author: Beatriz Sarriá Telephone: +34 91 549 0038; Fax: +34 91 549 36 27; Email: beasarria@if.csic.es
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Key words: Hepcidin, HAMP, transferrin, HFE, haplotype, iron deficiency, iron
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deficiency anemia, women, humans
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1. Introduction
If dietary recommendations are based on genotype, the influence of diet on health and
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on the prevention of disease will be undertaken much more efficiently. A mass number of
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genes form each individual’s genotype. Most genes have small sequence differences or
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polymorphisms and often these polymorphisms may affect how well a protein works and how
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it interacts with other proteins or substrates. Single nucleotide polymorphisms (SNPs) are the
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most common form of DNA sequence variation and are useful polymorphic markers for
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investigating genes. Haplotypes are sets of SNP alleles along a region of a chromosome. A
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recent strategy to draw associations between disease and genes and nutrients is the
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examination of haplotypes or haplotype blocks [1].
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Iron deficiency anemia is only part of the overall syndrome of iron deficiency which
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reaches even higher prevalence. Little is known about the genetic basis of non-diet related
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iron deficiency. The contribution of genetic differences between women to variation in iron
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stores outweighs the comparatively small effects of interindividual variation in iron loss
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through menstruation and number of pregnancies [2]. A polymorphism in exon 7 (G277S) of
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the transferrin gene (Tf), which corresponds to the transferrin electrophoretic C3 variant, has
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been associated with a significant reduction in total iron binding capacity and higher mean
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transferrin saturation predisposing menstruating women to iron deficiency anemia [3]. This
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variant is found at the highest frequency in the white population (frequency of 0.0634 (111 of
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1752 alleles; [3]). However, Aisen [4] constructed the mutation in a human transferrin
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expression vector and obtained that mutant and native proteins were equally efficient at
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donating iron. Accordingly, no relationship was found between transferrin concentration, iron
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status and the G277S variant in pregnant women [5]. The G277S transferrin mutation did not
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affect iron absorption in iron deficient women versus the wild-type [6]. Considering this
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disagreement, the role of G277S polymorphisms in iron deficiency anemia also needs to be
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clarified. The G277S mutation may be associated with other transferrin mutations, and/or
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other polymorphisms located in other genes.
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It is widely known that HFE (hemochromatosis) and HAMP (hepcidin) genes are
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involved in iron metabolism. HFE mutations C282Y and H63D are responsible for iron
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overload [7, 8]. However, the role of C282Y and H63D in iron deficiency remains
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controversial. According to Beutler et al [9] in a large cohort of patients with HFE mutations,
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the prevalence of non-anemic iron deficiency was significantly lower among female carriers
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of the C282Y mutation compared with HFE wild types. However, prevalence of frank iron
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deficiency anemia did not differ significantly among genotypes. Datz et al [10] pointed to the
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C282Y mutation having a protective role against iron deficiency in young women. C282Y
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heterozygote women showed significantly higher values for hemoglobin, serum iron, and
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transferrin saturation than women homozygous for the wild-type allele, but there was no
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significant difference in the prevalence of either iron deficiency anemia or iron depletion
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between these groups. Similarly, Rossi et al [11] found a significantly higher mean
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hemoglobin levels among C282Y/H63D compound heterozygotes compared with wild-type
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homozygotes without significant difference in the prevalence of subjects with iron depletion
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(defined as ferritin<20 µg or ferritin <12 µg/l and a transferrin saturation <15%) between
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genotypes. The H63D mutation is relevant in certain geographical areas, such as Spain [12,
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13, 14] but its frequency and clinical penetrance has been studied to less extent than C282Y.
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None of these studies have looked into the association of the C282Y and H63D with other
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mutations in iron metabolism proteins.
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HAMP gene codes for hepcidin, which plays an essential role in iron homeostasis
[15]. This peptide is a novel, hepatic, antimicrobial hormone that could provide the link
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between iron stores and intestinal absorption [16]. At molecular level, it seems to be the key
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systemic regulator of iron absorption [17]. In mice, anemia seems to be the predominant
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issue in regulating the HAMP gene [18]. Given that it plays such an important role in iron
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homeostasis, it might be predicted that mutations in HAMP gene may result in a distinctive
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iron-related phenotype [19, 20].
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The study of Tf/HFE/HAMP haplotypes may yield stronger associations between iron
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deficiency phenotype and genotype. The aim of this work is to determine HAMP, Tf (exon 7)
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and HFE mutations and their possible linkage for predicting iron deficiency phenotype in
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women.
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2. Methods and materials
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2.1. Subjects
Volunteer recruitment was carried out by setting up advertisements in the
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Complutense University campus and by giving short talks about the study between lectures.
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One hundred and sixty-two, 18-45 year-old, non-pregnant, non-smoking, white, menstruating
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women were recruited.
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Volunteers had not been treated with iron for the last twelve months. All subjects
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underwent a pre-study screening which included a blood test and a health questionnaire.
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This study was approved by the Ethics Committee of Hospital Clinica Puerta de Hierro and
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Consejo Superior de Investigaciones Cientificas, in Madrid (Spain).
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2.2. Study design
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This is an observational study. Subjects were divided into three groups attending to
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their iron phenotype, established by hemoglobin (g/dl) and ferritin (μg/l) values: iron
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sufficient (Hb ≥12, Ft ≥20), deficient (Hb≥12 and Ft<20 or Hb<12 and Ft≥20) and anemic
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(Hb<12 and Ft<20).
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Exon 7 of Tf gene, C282Y and H63D mutations in the HFE gene, and the 3 exons of
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the HAMP gene were genotyped in the former three groups. Genetic results were used to
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establish haplotypes in order to study associations between haplotypes and iron status.
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2.3. Blood sampling
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Blood samples were collected by venipuncture into EDTA tubes. DNA was extracted
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from whole blood using standard phenol-chloroform methodology with proteinase K (adapted
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from Sambrook et al [21].
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2.4. Biochemical and hematological measurements
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Measurements of hemoglobin concentration (Hb), serum ferritin (Ft), hematocrit
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(Hct), mean corpuscular volume (MCV), serum transferrin (Tf) and serum iron (Fe) were
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carried out following standard laboratory techniques and using the Symex NE 9100
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automated hematology (Symex, Kobe, Japan) and the Modular Analytics Serum Work Area
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(Roche, Basel, Switzerland) analyzers. Total iron binding capacity (TIBC (µmol/l) = 25.1 x
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Tf (g/l)) and transferrin saturation (TfS (%) = [Fe (g/dl)/TIBC(g/dl)] x 100) were
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calculated.
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2.5. Genetic analysis
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Amplification of exon 7 was performed using polymerase chain reaction (PCR) in a 25
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μl reaction volume containing 1X Standard Buffer (Tris-HCl (pH 9,0) 75mM, KCl 50 mM,
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(NH4)2SO4 20 mM), 2.5 mM MgCl2, 200 μM dNTPs mix, 1 U Taq polymerase (Biotools) and
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0.200 μM of each primer. PCR programming was carried out in a eppendorf mastercycler
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using the following conditions: for initial denaturizing 1 cycle at 95 ºC – 3 min; followed 32
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cycles of amplification at 93 ºC – 30 s, 62 ºC – 30 s, 72 ºC – 30 s and 1 cycle of final
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extension at 72 ºC - 7 min. Exon 7 of transferrin gene was amplified in the 162 samples using
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primers described by Beutler et al., [22]. The PCR product was purified with a QIAquick gel
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extraction kit (QIAGEN) and sequenced on an Applied Biosystems automatic sequencer
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model 3730. Results were compared to a consensus sequence for transferrin gene found in
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Ensembl database v34, Gen ID ENST00000264998. Hemochromatosis gene mutations,
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C282Y and H63D, were analyzed using restriction enzymes according to Alvarez et al [14] in
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the all the samples. The 3 exons of the HAMP gene were amplified in all 162 subjects
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according to Zaahl et al [23]. Amplicons were then analyzed by SSCP in an ALF Sequencer
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(Pharmacia) [24], according to the manufacturer’s protocol with slight modifications
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(ALFexpress, Pharmacia Biotech). Mutants yielded an abnormal pattern of double peaks
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which was clearly detected (Fig. 1). PCR products of mutated individuals were purified with a
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QIAquick gel extraction kit (QIAGEN) and sequenced on an Applied Biosystems automatic
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sequencer model 3730. The sequences obtained were compared to a consensus for HAMP
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gene found in Ensembl database v34, Gen ID ENSG00000105697.
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2.6. Statistical methods
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An explanatory analysis of the data was carried out considering the number of subjects
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studied and the fact that we obtained, within each iron status, different number of subjects,
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carrying different number of mutations. With this purpose three variables were generated: a)
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iron status or degree of iron deficiency, b) number of mutations carried and c) proportion of
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subjects carrying mutations in different genes within each iron status. These variables were
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globally transformed and normalized by “optimal scaling” [25]. CATPCA-Principal
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components analysis for categorical data by Data Theory Scaling System Group (DTSS)
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(Leiden, The Netherlands) was used.
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3. Results
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Attending to the hemoglobin (g/dl) and ferritin (μg/l) values obtained, among the 162
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subjects, 63 were iron sufficient (Hb ≥12, Ft ≥20), 77 iron-deficient (Hb≥12 and Ft<20 or
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Hb<12 and Ft≥20) and 22 iron deficient anemic (Hb<12 and Ft<20). The hematological and
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biochemical parameters data in the three iron status groups are shown in table 1. The values
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for the other iron status indicators examined: total iron binding capacity, transferrin
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saturation, hematocrit and mean corpuscular volume were within the range corresponding to
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iron sufficiency, deficiency and deficiency anemia, respectively. Only the transferrin
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saturation data (%) was slightly high in the iron deficient group attending to the cutoff point
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for abnormal values proposed by Dallman et al [26] of <16%, as well as the mean corpuscular
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volume in the iron deficient anemic group according to Gibson [27] of 80 fl.
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Table 2 shows all the different genotypes obtained attending to HFE (C282Y and
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H63D), transferrin (exon 7) and HAMP (3 exons) gene mutations as well as genotype
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frequencies in the iron sufficient, iron deficient and iron deficient anemic groups. Three
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mutations were observed in exon 7 of the transferrin gene: L247L, G277S and H268H. As far
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as the HFE gene, H63D heterozygotes and 1 homozygote were obtained. Concerning the
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hepcidin gene, one SNP, I7V, was obtained in exon 1. Among the group of 63 iron sufficient
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women, 5 subjects carried mutations: 2 subjects were heterozygous for H63D, G277S and
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L247L mutations, one was heterozygous for G277S, L247L and H268H and two were
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heterozygous for G277S and L247L. Among the 77 iron deficient women, 8 were
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heterozygous for G277S and L247L (except 1 L247L homozygote) and 1 subject was
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heterozygous for the I7V mutation in the HAMP gene. Among the subgroup of 22 iron
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deficient anemic, 3 G277S/L247L heterozygous individuals who also presented the H63D
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mutation (1 was homozygote) were obtained and 1 subject was heterozygous for the I7V
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mutation in the HAMP gene.
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Attending to these results, there seems to be an association between these mutations
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and there are three possible haplotypes, G277S/L247L which was obtained in the iron
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sufficient and deficient groups, G277S/L247L/ H63D in the iron sufficient and iron deficient
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anemic groups and G277S/L247L/H268H/ corresponding to an iron sufficient subject.
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The prevalence of iron deficiency in women with genotype G277S/G277G was 18.7%
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and 13.0% in G277G/G277G. In the 3 iron status groups, subjects carrying the G277S
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mutation showed a slight reduction in TIBC [G277G/G277S 62.9, 74.4 and 73.0 versus
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G277G/G277G 70.4, 79.2 and 83.6 for iron sufficient, iron deficient and iron deficient anemic
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subjects, respectively].
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In order to further interpret our results, an explanatory analysis was carried out and
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three variables were generated: a) iron status or degree of iron deficiency (3 levels: 1 iron
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sufficient, 2 iron deficient and 3 iron deficient anemic) b) number of mutations (from 1 to 5)
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c) proportion of subjects carrying mutations in different genes within each iron status
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(intervals). The distribution of the number subjects carrying mutations, the number of
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mutations and the proportion of subjects carrying mutations in different genes within the three
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iron status levels is reported in table 3.
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Once these variables were globally transformed and normalized by optimal scaling,
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using the new scale it was possible to calculate correlations, such as Pearson’s correlations,
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and express the results in a subspace where both variables and objects (subjects with a certain
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iron status, number of mutations, and proportion of subjects carrying mutations in different
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genes) were projected. Figure 2 allows our results to be visually interpreted. Virtual axis X
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represents the variables proportion of subjects carrying mutations and iron status, which are
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highly correlated, and virtual axis Y shows the number of mutations, which is independent
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from the degree of iron deficiency.
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The results of this study indicate that the distribution of the number of subjects
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carrying mutation(s), the number of mutations and the proportion of subjects carrying
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mutations within the iron sufficient, iron deficient and iron deficient anemic groups was not
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homogenous, but the iron deficient anemic group presented the highest proportion of subjects
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carrying mutations followed by the iron deficient and the least the iron sufficient (table 3, Fig.
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2).
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4. Discussion
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The percentages of iron-deficient menstruating white women within the G277G
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transferrin genotype are comparable to those described by Lee et al [3] who worked with a
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larger group of white women (n=1511) and obtained a higher prevalence of iron deficiency in
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menstruating white women with genotype G277S/G277S and G277S/G277G than in the wild-
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type subjects. Accordingly, we obtained a higher prevalence of iron deficiency in women with
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genotype G277S/G277G (18.7%) compared to G277G/G277G (13.0%) although we do not
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disregard that we worked with a smaller number of subjects. Furthermore, in accordance with
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the above indicated authors G277S carriers also showed a slight reduction in TIBC.
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Nevertheless, the outcome of the present work does not point to a clear association between
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the G277S mutation and iron deficiency.
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The L247L mutation in exon 7 was detected in all 16 subjects who carried the G277S
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mutation, this indicates that they are closely enough linked to be inherited as a unit. The
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G277S/L247L haplotype has not been described previously in the literature. L247L, on its
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own, has recently been identified in a patient with atransferrinemia [28] who presented severe
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hypochromic, microcytic anemia. Another silent mutation, H268H, was also identified in one
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G277S carrier. Haplotypes G277S/L247L and G277S/L247L/H268 need to be further
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investigated as well as their association to iron deficiency.
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As far as the HFE gene, we obtained a higher frequency for the H63D mutation than
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for C282Y which is in agreement with population studies that indicate that the H63D
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mutation is more common, particularly in Spain compared to other countries in Europe [12,
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13, 14]. Mutations in the HFE gene have been extensively studied and shown different
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degrees of clinical penetrance. The relationship between HFE mutations and iron deficiency
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anemia is controversial and has been mostly evaluated in individuals carrying the C282Y
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mutation rather than H63D. The presence of the G277S allele in the heterozygous state in
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HFE patients homozygous for the C282Y mutation has been suggested to reduce mean TIBC
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levels to values similar to those of Caucasian individuals with a normal HFE gene [3]. In the
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present work, there were 2 heterozygotes and 1 mutant homozygote for the H63D mutation,
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all being G277S carriers, who were iron deficient and showed TIBC (µmol/L) values of 69
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and 71.8, the heterozygotes, and 73.8 the homozygote, which are close to the cutoff point of
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73 indicating low iron status [29]. In contrast, 2 subjects who were H63D/G277S carriers
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were iron sufficient (TIBC (µmol/L) values of 67 and 50). Given this small number, it was not
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possible to draw any conclusion as to how the H63D/G277S genotype affects TIBC levels and
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consequently iron status. This outcome points to the existence of another possible haplotype
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G277S/L247/H63D which role in iron status needs to be studied in more detail.
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Mutations in the hepcidin peptide can originate abnormal peptides which are involved
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in dysfunctions of iron metabolism [20]. The I7V hepcidine gene mutation affects leader
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peptide sequence and substitutes a hydrophobic amino acid (Isoleucine) with another
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hydrophobic one (Valine). It is interesting that the indicated mutation was found in an iron-
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deficient and iron-deficient anemic subject. However, from two volunteers, no reliable
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conclusion concerning the relationship between I7V and iron status may be drawn. This
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mutation was not associated to any other in the genes studies.
The results of the present study indicate that although SNPs may hold true for some
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conditions, iron status pathologies are complex from a genetic point of view and thus the
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phenotype predominantly depends on the combined variation of several genes apart from
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environmental and behavioral factors. The probable existence of linkage disequilibria among
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mutations can be very helpful for a better prediction of iron deficiency. In agreement with
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Trujillo et al [2], we point to haplotype block analysis as the best strategy in understanding
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the distribution of risk alleles in human populations which could lead to tailoring prevention
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strategies to those at increased risk.
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We conclude that the iron deficient anemic group presented the highest proportion of subjects
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carrying mutations of genes associated with iron deficiency as well as overload, although the
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sample size of this group was small. We found that there are 3 possible haplotypes G277S
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/L247L, G277S/L247L/H63D and G277S/L247L/H268H, non restricted to any iron status.
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Further studies should be focused on the analysis of haplotypes or haplotype blocks to
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associate genes and iron deficiency.
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This study opens a new pathway to the understanding of the genetic factors involved in iron
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deficiency, which leads to considering the use of diets based upon individual genotype, iron
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requirements and status.
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Acknowledgments
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This study was funded by the EU (MERG-CT-2003-506368) and the Spanish
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government (AGL 2002-04411-C02-02 ALI). Santiago Navas is granted with a Comunidad
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de Madrid fellowship and Social European Funds. The authors thank the volunteers who took
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part in this study and Laura Barrios for the statistical analysis.
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& Company 1996 p. 65-74.
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[27] Gibson R. Principals of Nutritional Assessment: A Laboratory Manual. New York:
Oxford University Press, 1993.
[28] Knisely AS, Gelbart T, Beutler E. Molecular characterization of a third case of human
atransferrinemia. Blood 2004; 104(8): 2607.
[29] Cook JD, Finch CA. Assessing iron status of a population. Am J Clin Nutr 1979; 32(10):
2115-9.
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Abreviations list
15
Hemoglobin: Hb
16
Serum ferritin: Ft
17
Single nucleotide polymorphisms: SNPs
18
Hematocrit: Hct
19
Mean corpuscular volume: MCV
20
Serum transferrin: Tf
21
Serum iron: Fe
15
1
Total iron binding capacity: TIBC
2
Transferrin saturation: TfS
3
Polymerase chain reaction: PCR
4
Iron sufficient: IS
5
Iron deficient: ID
6
Iron deficient anemic: IDA
7
8
16
1
Figure legends
2
3
Figure 1. SSCP electropherograms (left) and sequence (right) of HAMP genes (exon 1) of a
4
homozygous individual with the A/A genotype (A) and a heterozygous individual with the
5
I7V mutation (A->G) (B).
6
7
Figure 2. Bidimensional dispersion diagram. Virtual axis X represents the variables
8
proportion of subjects carrying mutations and iron status and virtual axis Y the number of
9
mutations which are independent from the degree of iron deficiency. The objects represent
10
the subjects with a certain iron status, number of mutations, and proportion of subjects
11
carrying mutations in different genes.
12
17
1
18
1
2
3
Table 1. Hematological and biochemical characterization of the volunteers who participated in the study.
Iron status
Iron sufficient
(n=63)
Iron deficient
(n=77)
Iron deficient
anemic
(n=22)
Hemoglobin (g/dl)
13.5±0.8
13.3±0.7
11.3±0.5
Serum ferritin (µg/l)
37.0 (36-50)
11.5 (11-16)
6.2 (5.5-10)
70±10
79±12
82±13
25.1±11.6
22.1±10.4
13.9±11.2
Hematocrit (%)
40±2
40±2
35±1
Mean corpuscular
volume (fl)
89±4
88±4
83±7
Total iron binding
capacity (µmol/l)
Transferrin
saturation (%)
4
5
6
7
Values are arithmetic mean ± standard deviation
Ferritin values are expressed as geometric mean (confidence interval).
8
9
10
11
12
1
1
2
Table 2. Genotypes obtained attending to mutations in HFE, transferrin and HAMP genes. Genotype frequencies in the iron status groups
Genes
Genotypes
3
4
5
HFE
Genotype frequencies (%)
HAMP
1
Position
282
-/-
Position
63
-/-
Position
247
-/-
Transferrin
Position
268
-/-
2
-/-
-/-
-/-
-/-
-/-
3
-/-
-/-
+/-
-/-
4
-/-
-/-
+/-
5
-/-
-/-
6
-/-
7
Iron
sufficient
Iron
deficient
Iron deficient
anemic
18.52
19.75
3.70
+/-
0
0.62
0.62
-/-
-/-
4.94
1.85
0.62
+/-
-/-
-/-
0
0.62
0
+/-
+/-
+/-
-/-
0.62
0
0
-/-
+/-
-/-
+/-
-/-
1.23
3.70
0
-/-
-/-
+/
-/-
-/-
-/-
0
0
0.62
8
-/-
-/-
+/
-/-
+/-
-/-
0
0.62
0.62
9
-/-
+/-
-/-
-/-
-/-
-/-
5.55
14.81
4.32
10
-/-
+/-
+/-
-/-
-/-
-/-
1.85
1.85
1.23
11
-/-
+/-
+/-
-/-
+/-
-/-
1.23
0.62
0.62
12
-/-
+/
-/-
-/-
-/-
-/-
1.85
1.85
0
13
-/-
+/
+/-
-/-
+/-
-/-
0
0
0.62
14
+/-
-/-
-/-
-/-
-/-
-/-
2.47
1.23
0
15
+/-
-/-
+/-
-/-
-/-
-/-
0
0
0.62
16
+/-
-/-
-/-
+/-
-/-
-/-
0.62
0
0
Position
277
-/-
Position
7
-/-
Black font represent: homocygote wild-types, red font: heterocygote mutants; blue font: homocygote mutants.
6
2
1
2
3
4
Table 3. Distribution of the number of subjects carrying mutations, the number of mutations and the proportion of subjects carrying mutations in different
genes within the three iron status levels *
Iron status (degree
of iron deficiency)
Number of subjects
carrying one or
more mutations
Number of
mutations
Proportion of
subjects carrying
mutations **
5
6
7
8
9
1. Iron sufficient
(n=63)
2. Iron deficient
(n=77)
3. Iron deficient anemic
(n=22)
2
1
2
7
1
1
2
1
1
3
3
2
2
2
1
3
3
1
0,03
0,02
0,03
0,09
0,01
0,01
0,09
0,05
0,05
* Each column corresponds to subjects carrying identical mutations within each iron status group.
** Calculated as Number of subject / n of the corresponding iron status group
10
11
12
13
3
1
4
1
2
3
4
5
6
7
Figure 1.Wild-type and Mutant patterns in the HAMP gene determined by Single Strand
Conformational Polymorphism
Pattern A: Peak for Wild-type genotype in HAMP gene.
Pattern B: Abnormal double peak for mutant genotype in HAMP gene
8
9
10
11
12
13
14
1
1
2
Figure 2. Distribution of subjects attending to the number of mutations present, the proportion
of subjects carrying mutations and iron status.
2
Number of mutations
ID
IS
IS
Proportion of subjects carrying mutations
IDA
IDA
IS
ID
0
2
Dimension 2
1
Iron status
-1
IDA
ID
-2
-1,5
-1,0
-0,5
0,0
0,5
1,0
1,5
2,0
Dimension 1
3
4
5
6
7
8
9
10
11
12
13
14
IS= iron sufficient group (n= 63)
ID=iron deficient group (n= 77)
IDA=iron deficient anemic (n= 22)
Normalization and distribution of subjects performed by Pearson’s correlation test.
15
2
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