Meta-analysis of genome-wide association studies for cancer therapy-related cardiovascular dysfunction and functional mapping highlight an intergenic region close to TP63.

Cancer therapy-related cardiac dysfunction (CTRCD), which commonly includes left ventricular dysfunction and heart failure, is the main adverse effect of anticancer therapy. In recent years several candidate genes studies and genome-wide association studies have identified common genetic variants associated with CTRCD, but evidence remains limited and few genetic variants are robust. A genome-wide meta-analysis of CTRCD was performed with 852 oncology patients receiving cancer therapy. DNA samples were genotyped and imputed to perform a GWAS meta-analysis for case-control (N = 852 (380 cases and 472 controls) and extreme phenotypes (N = 618 (78 cases and 472 controls) looking for genetic variants that predispose to CTRCD. The results were validated in a replicate cohort of 1,191 oncology patients (245 cases and 946 controls). Functional mapping of the replicated loci was then performed. The meta-analysis showed 9 and 17 loci suggestively associated (P-value < 1 × 10-5) with CTRCD in case-control and extreme phenotypes analyses, respectively. The 3q28 locus (rs rs7652759, P = 5.64 × 10-6) in the case-control analysis was the strongest signal, with up to 64 SNPs above the suggestive significance threshold. The rs7652759, an intergenic variant between TPRG1 and TP63 genes, was the only variant validated in the replication cohort (P-value = 0.01). Functional mapping of this significant locus revealed up to 5 new genes potentially involved in the CTRCD. We identified the intergenic region near TP63 as a novel CTRCD susceptibility locus. In the future, the genotyping of these markers could be considered in new CTRCD risk scores to improve preventive strategies in cardio-oncology.

Genetic susceptibility in pharmacodynamic and pharmacokinetic pathways underlying drug-induced arrhythmia and sudden unexplained deaths.

Drug-induced arrhythmia is an adverse drug reaction that can be potentially fatal since it is mostly related to drug-induced QT prolongation, a known risk factor for Torsade de Pointes and sudden cardiac death (SCD). Several risk factors have been described in association to these drug-induced events, such as preexistent cardiac disease and genetic variation. Our objective was to study the genetic susceptibility in pharmacodynamic and pharmacokinetic pathways underlying suspected drug-induced arrhythmias and sudden unexplained deaths in 32 patients. The genetic component in the pharmacodynamic pathway was studied by analysing 96 genes associated with higher risk of SCD through massive parallel sequencing. Pharmacokinetic-mediated genetic susceptibility was investigated by studying the genes encoding cytochrome P450 enzymes using medium-throughput genotyping. Pharmacodynamic analysis showed three probably pathogenic variants and 45 variants of uncertain significance in 28 patients, several of them previously described in relation to mild or late onset cardiomyopathies. These results suggest that genetic variants in cardiomyopathy genes, in addition to those related with channelopathies, could be relevant to drug-induced cardiotoxicity and contribute to the arrhythmogenic phenotype. Pharmacokinetic analysis showed three patients that could have an altered metabolism of the drugs they received involving CYP2C19 and/or CYP2D6, probably contributing to the arrhythmogenic phenotype. The study of genetic variants in both pharmacodynamic and pharmacokinetic pathways may be a useful strategy to understand the multifactorial mechanism of drug-induced events in both clinical practice and forensic field. However, it is necessary to comprehensively study and evaluate the contribution of the genetic susceptibility to drug-induced cardiotoxicity.

Massive parallel sequencing applied to the molecular autopsy in sudden cardiac death in the young.

Sudden cardiac death in the young is a very traumatic event that occurs often in apparently healthy individuals without an explainable cause of death after a comprehensive medico-legal investigation. Knowledge about the pathologies with a risk of sudden death is increasingly showing a greater underlying genetic heterogeneity, which provides one of the main handicaps for molecular autopsy. On the other hand the enormous technological advances in sequencing technologies, allow us to analyse as many genes as we want at a cost increasingly reduced. The sum of these two factors (increased knowledge of genetics and available technologies) allow us to make an individualized study of the causes of sudden cardiac death in young adults, through massive sequencing of all potential genes involved in the process. We define this approach as massive genomic autopsy, and with this review we will try to explain the possible scenarios and methods available for its implementation.

Y-chromosomal DNA analysis in French male lineages.

French population, despite of its crucial geographic location for repopulation movements of Europe across time, it has been insufficiently characterized at the genetic level, especially for Y-chromosomal DNA variation. In order to make a genetic structure characterization, we have analyzed the Y-chromosome diversity of 558 male individuals, scattered along 7 different French regions: Alsace (Strasbourg), Auvergne (Clermont-Ferrand), Bretagne (Rennes), Île-de-France (Paris), Midi-Pyrénées (Toulouse), Nord-Pas-de-Calais (Lille) and Provence-Alpes-Côte d'Azur (Marseille). A total of 17 Y-chromosome STRs and 27 Y-chromosome SNPs were genotyped for each individual. Even though we find that most of the individual populations in France were not differentiated from each other, Bretagne population shows population substructure, an important fact to be considered when establishing general population databases.

Patterns of Y-STR variation in Italy.

The 17 Y-chromosomal short tandem repeats (STRs) included in the AmpFlSTR Yfiler Amplification Kit (AB Applied Biosystems) (DYS19, DYS389I, DYS389II, DYS390, DYS391, DYS392, DYS393, DYS385ab, DYS437, DYS438, DYS439, DYS448, DYS456, DYS458, DYS635 and GATA H4.1) were typed in 292 samples from seven Italian regions. Population comparisons with other European samples were undertaken; for this purpose, two databases were collated from the literature: (a) 19 population samples including >2900 Yfiler profiles, and (b) 67 population samples including >15,000 minimum haplotype profiles. A total of 276 different Yfiler haplotypes were observed in Italy, and only one of them was shared among our seven population samples. The overall haplotype diversity (0.9996) was comparable to other European samples. AMOVA indicates that among population variance depends on the amount of Y-STRs used, being higher when using minimal haplotypes. This is probably due to the fact that Yfiler profiles are represented by singleton haplotypes in all the population samples raising the diversity values to the maximum theoretical value. AMOVA results seems to depend even more strongly on the amount of population samples used, the among population variance in Italy ranging from 2.82% to 11.03% (using 15 and 32 Italian populations samples, respectively). Variance is not as strongly stratified geographically within Italy, although it is notorious that latitude is more important than longitude in the distribution of variance. The results also indicated that Italy is less stratified than other European samples. The present study contributes to enrich the Y-chromosome databases regarding high-resolution Y-chromosome data sets and demonstrates that extended Y-STR profiles substantially increases the discriminatory capacity in individual identification for forensic purposes.

Y-chromosome lineages in native South American population.

The present work tries to investigate the population structure and variation of the Amerindian indigenous populations living in Argentina. A total of 134 individuals from three ethnic groups (Kolla, Mapuche and Diaguitas) living in four different regions were collected and analysed for 26 Y-SNPs and 11 Y-STRs. Intra-population variability was analysed, looking for population substructure and neighbour populations were considered for genetic comparative analysis, in order to estimate the contribution of the Amerindian and the European pool, to the current population. We observe a high frequency of R1b1 and Q1a3a* Y-chromosome haplogroups, in the ethnic groups Mapuche, Diaguita and Kolla, characteristic of European and Native American populations, respectively. When we compare our native Argentinean population with other from the South America we also observe that frequency values for Amerindian lineages are relatively lower in our population. These results show a clear Amerindian genetic component but we observe a predominant European influence too, suggesting that typically European male lineages have given rise to the displacement of genuinely Amerindian male lineages in our South American population.

The genetic male legacy from El Salvador.

Allele frequencies and haplotype and haplogroup analysis have been performed for 16 Y-chromosome binary markers and 8 Y-chromosome STRs (DYS19, DYS385I and II, DYS389I and II, DYS390, DYS391, DYS392, DYS393). Data was obtained from a general sample of 93 unrelated individuals living in metropolitan areas from El Salvador, and 67 individuals from different historical ethnic groups, Conchagua, San Alejo, Panchimalco, Izalco and finally Nueva Concepción with white people. Levels of admixture among metropolitan and rural areas were evaluated and population substructure measured. A total of 13 haplogroups and 136 different haplotypes were found. The most frequent haplogroup in the general metropolitan population was the European R1b, while in the Indigenous samples considered as a whole the most frequent was the Amerindian haplogroup Q3.

Hierarchical analysis of 30 Y-chromosome SNPs in European populations.

Analysis of Y-chromosome haplogroups defined by binary polymorphisms, has became a standard approach for studying the origin of modern human populations and for measuring the variability between them. Furthermore, the simplicity and population specificity of binary polymorphisms allows inferences to be drawn about the population origin of any male sample of interest for forensic purposes. From the 245 binary polymorphisms that can be analysed by PCR described in the Y Chromosome Consortium tree, we have selected 30 markers. The set of 30 has been grouped into 4 multiplexes in order to determine the most frequent haplogroups in Europe, using only 1 or 2 multiplexes. In this way, we avoid typing unnecessary SNPs to define the final haplogroup saving effort and cost, since we only need to type 9 SNPs in the best case and in the worst case, no more than 17 SNPs to define the haplogroup. The selected method for allele discrimination was a single base extension reaction using the SNaPshot multiplex kit. A total of 292 samples from 8 different districts of Galicia (northwest Spain) were analysed with this strategy. No significant differences were detected among the different districts, except for the population from Marina Lucense, which showed a distant haplogroup frequency but not higher Phi(st) values.