Carlos Baeza-Richer

Four variants in transferrin and HFE genes as potential markers of iron deficiency anaemia risk: an association study in menstruating women

BackgroundIron deficiency anaemia is a worldwide health problem in which environmental, physiologic and genetic factors play important roles. The associations between iron status biomarkers and single nucleotide polymorphisms (SNPs) known to be related to iron metabolism were studied in menstruating women.MethodsA group of 270 Caucasian menstruating women, a population group at risk of iron deficiency anaemia, participated in the study. Haematological and biochemical parameters were analysed and 10 selected SNPs were genotyped by minisequencing assay. The associations between genetic and biochemical data were analysed by Bayesian Model Averaging (BMA) test and decision trees. Dietary intake of a representative subgroup of these volunteers (n = 141) was assessed, and the relationship between nutrients and iron biomarkers was also determined by linear regression.ResultsFour variants, two in the transferrin gene (rs3811647, rs1799852) and two in the HFE gene (C282Y, H63D), explain 35% of the genetic variation or heritability of serum transferrin in menstruating women. The minor allele of rs3811647 was associated with higher serum transferrin levels and lower transferrin saturation, while the minor alleles of rs1799852 and the C282Y and H63D mutations of HFE were associated with lower serum transferrin levels. No association between nutrient intake and iron biomarkers was found.ConclusionsIn contrast to dietary intake, these four SNPs are strongly associated with serum transferrin. Carriers of the minor allele of rs3811647 present a reduction in iron transport to tissues, which might indicate higher iron deficiency anaemia risk, although the simultaneous presence of the minor allele of rs1799852 and HFE mutations appear to have compensatory effects. Therefore, it is suggested that these genetic variants might potentially be used as markers of iron deficiency anaemia risk.

Influence of Diet, Menstruation and Genetic Factors on Iron Status: A Cross-Sectional Study in Spanish Women of Childbearing Age

The aim of this study was to investigate the combined influence of diet, menstruation and genetic factors on iron status in Spanish menstruating women (n = 142). Dietary intake was assessed by a 72-h detailed dietary report and menstrual blood loss by a questionnaire, to determine a Menstrual Blood Loss Coefficient (MBLC). Five selected SNPs were genotyped: rs3811647, rs1799852 (Tf gene); rs1375515 (CACNA2D3 gene); and rs1800562 and rs1799945 (HFE gene, mutations C282Y and H63D, respectively). Iron biomarkers were determined and cluster analysis was performed. Differences among clusters in dietary intake, menstrual blood loss parameters and genotype frequencies distribution were studied. A categorical regression was performed to identify factors associated with cluster belonging. Three clusters were identified: women with poor iron status close to developing iron deficiency anemia (Cluster 1, n = 26); women with mild iron deficiency (Cluster 2, n = 59) and women with normal iron status (Cluster 3, n = 57). Three independent factors, red meat consumption, MBLC and mutation C282Y, were included in the model that better explained cluster belonging (R2 = 0.142, p < 0.001). In conclusion, the combination of high red meat consumption, low menstrual blood loss and the HFE C282Y mutation may protect from iron deficiency in women of childbearing age. These findings could be useful to implement adequate strategies to prevent iron deficiency anemia.

Models and implementation for relationship problems with dropout

Allelic dropout in relationship problems may commonly appear in areas such as disaster victim identification and the identification of missing persons. If dropout is not accounted for, the results may be incorrect interpretation of profiles, loss of valuable information and biased results. In this paper, we explore different models for dropout in kinship cases and present an efficient implementation for one of the models. The implementation allows for dropout to be handled simultaneously with phenomena like silent alleles and mutations that may also cause discordances in relationship data, in addition to subpopulation correction. The implemented dropout model is freely available in the new version of the Familias software. The concepts and methods are illustrated on real and simulated data.

Identification of a Novel Quantitative Trait Nucleotype Related to Iron Status in a Calcium Channel Gene

Several iron-related parameters have been reported to show significant heritability, and thus, seemed to be genetically regulated. A genome wide family-based study revealed two regions that showed a linkage signal with transferrin receptor levels. The aim of the study was to identify genetic markers associated with iron status biomarkers. Ten SNPs selected from the literature were tested, and parameters related to iron metabolism were analysed, in a group (n=284) of Spanish women. Data were analyzed using Bayesian Model Averaging (BMA) test and decision trees. The rs1375515, located in an intronic region of the calcium channel gene CACNA2D3, showed strong associations with levels of mean corpuscular volume according to BMA test, and with levels of haemoglobin and ferritin according to decision trees. The allele G was associated to low levels of these parameters which suggests higher iron deficiency anaemia risk. This SNP along with the C282Y mutation explained significant differences in the distribution of individuals in three iron-related clinical phenotypes (normal, iron deficient and iron deficiency anaemic). In conclusion, the rs1375515, or other genetic polymorphisms in linkage, may play important roles in iron status, probably by affecting the function of a calcium channel. These findings may be useful for further investigation in the etiology of iron diseases.

Genetic contribution to iron status: SNPs related to iron deficiency anaemia and fine mapping of CACNA2D3 calcium channel subunit

Numerous studies associate genetic markers with iron- and erythrocyte-related parameters, but few relate them to iron-clinical phenotypes. Novel SNP rs1375515, located in a subunit of the calcium channel gene CACNA2D3, is associated with a higher risk of anaemia. The aim of this study is to further investigate the association of this SNP with iron-related parameters and iron-clinical phenotypes, and to explore the potential role of calcium channel subunit region in iron regulation. Furthermore, we aim to replicate the association of other SNPs reported previously in our population. We tested 45 SNPs selected via systematic review and fine mapping of CACNA2D3 region, with haematological and biochemical traits in 358 women of reproductive age. Multivariate analyses include back-step logistic regression and decision trees. The results replicate the association of SNPs with iron-related traits, and also confirm the protective effect of both A allele of rs1800562 (HFE) and G allele of rs4895441 (HBS1L-MYB). The risk of developing anaemia is increased in reproductive age women carriers of A allele of rs1868505 (CACNA2D3) and/or T allele of rs13194491 (HIST1H2BJ). Association of SNPs from fine mapping with ferritin and serum iron suggests that calcium channels could be a potential pathway for iron uptake in physiological conditions.

Kinship analysis and allelic dropout: a forensic approach on an archaeological case

Abstract Background: This study relies on the discovery of two pit burials (LTA and LTB) of the Bronze Age Cogotas I archaeological culture (circa 3600–2950 BP) in Spain. LTA was a single burial and LTB contained three skeletal remains of two adults and a newborn or foetus at term. Aim: The central question posed by this find was whether the LTB tomb constituted a traditional nuclear family (father, mother and son or daughter). Methods: Ancient and forensic DNA protocols were employed to obtain reliable results. Autosomal, X-STR markers and mitochondrial DNA were amplified. Subsequently, different kinship probabilities were estimated by means of LR values calculated using the Familias 3 software. Furthermore, an allelic dropout sensitivity test was developed in order to evaluate the influence of allelic dropout phenomena on the results. Results: It was possible to determine the molecular sex of all individuals and to establish a maternal relationship between the perinatal individual and one of the adults. Conclusion: The remains in the LTB tomb were not a traditional nuclear family (father, mother and son/daughter) and it was probably a tomb where two women, one of them pregnant, were buried.