Impact of genetic information on coronary disease risk in Madeira: The GENEMACOR study.

INTRODUCTION: Coronary artery disease (CAD), characterized by an atherogenic process in the coronary arteries, is one of the leading causes of death in Madeira. The GENEMACOR (GENEs in MAdeira and CORonary Disease) study sought to investigate the main risk factors - environmental and genetic - and estimate whether a genetic risk score (GRS) improves CAD prediction, discrimination and reclassification. METHODS: Traditional risk factors and 33 CAD genetic variants were considered in a case-control study with 3139 individuals (1723 patients and 1416 controls). The multivariate analysis assessed the likelihood of CAD. A multiplicative GRS (mGRS) was created, and two models (with and without mGRS) were prepared. Two areas under receiver operating characteristic curve (area under curve (AUC)) were analyzed and compared to discriminate CAD likelihood. Net reclassification improvement (NRI) and integrated discrimination index (IDI) were used to reclassify the population. RESULTS: All traditional risk factors were strong and independent predictors of CAD, with smoking being the most significant (OR 3.25; p<0.0001). LPA rs3798220 showed a higher CAD likelihood (odds ratio 1.45; p<0.0001). Individuals in the fourth mGRS quartile had an increased CAD probability of 136% (p<0.0001). A traditional risk factor-based model estimated an AUC of 0.73, rising to 0.75 after mGRS inclusion (p<0.0001), revealing a better fit. Continuous NRI better reclassified 28.1% of the population, and categorical NRI mainly improved the reclassification of the intermediate risk group. CONCLUSIONS: CAD likelihood was influenced by traditional risk factors and genetic variants. Incorporating GRS into the traditional model improved CAD predictive capacity, discrimination and reclassification. These approaches may provide helpful diagnostic and therapeutic advances, especially in the intermediate risk group.

WITHDRAWN: Impact of genetic information on Coronary Disease risk in Madeira: The GENEMACOR study.

The Publisher regrets that this article is an accidental duplication of an article that has already been published, 10.1016/j.repc.2022.10.005. The duplicate article has therefore been withdrawn. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/our-business/policies/article-withdrawal.

Phylogeography of Sub-Saharan Mitochondrial Lineages Outside Africa Highlights the Roles of the Holocene Climate Changes and the Atlantic Slave Trade.

Despite the importance of ancient DNA for understanding human prehistoric dispersals, poor survival means that data remain sparse for many areas in the tropics, including in Africa. In such instances, analysis of contemporary genomes remains invaluable. One promising approach is founder analysis, which identifies and dates migration events in non-recombining systems. However, it has yet to be fully exploited as its application remains controversial. Here, we test the approach by evaluating the age of sub-Saharan mitogenome lineages sampled outside Africa. The analysis confirms that such lineages in the Americas date to recent centuries-the time of the Atlantic slave trade-thereby validating the approach. By contrast, in North Africa, Southwestern Asia and Europe, roughly half of the dispersal signal dates to the early Holocene, during the "greening" of the Sahara. We elaborate these results by showing that the main source regions for the two main dispersal episodes are distinct. For the recent dispersal, the major source was West Africa, but with two exceptions: South America, where the fraction from Southern Africa was greater, and Southwest Asia, where Eastern Africa was the primary source. These observations show the potential of founder analysis as both a supplement and complement to ancient DNA studies.

Biomolecular insights into North African-related ancestry, mobility and diet in eleventh-century Al-Andalus.

Historical records document medieval immigration from North Africa to Iberia to create Islamic al-Andalus. Here, we present a low-coverage genome of an eleventh century CE man buried in an Islamic necropolis in Segorbe, near Valencia, Spain. Uniparental lineages indicate North African ancestry, but at the autosomal level he displays a mosaic of North African and European-like ancestries, distinct from any present-day population. Altogether, the genome-wide evidence, stable isotope results and the age of the burial indicate that his ancestry was ultimately a result of admixture between recently arrived Amazigh people (Berbers) and the population inhabiting the Peninsula prior to the Islamic conquest. We detect differences between our sample and a previously published group of contemporary individuals from Valencia, exemplifying how detailed, small-scale aDNA studies can illuminate fine-grained regional and temporal differences. His genome demonstrates how ancient DNA studies can capture portraits of past genetic variation that have been erased by later demographic shifts-in this case, most likely the seventeenth century CE expulsion of formerly Islamic communities as tolerance dissipated following the Reconquista by the Catholic kingdoms of the north.

Additional value of a combined genetic risk score to standard cardiovascular stratification.

The utility of genetic risk scores (GRS) as independent risk predictors remains inconclusive. Here, we evaluate the additive value of a multi-locus GRS to the Framingham risk score (FRS) in coronary artery disease (CAD) risk prediction. A total of 2888 individuals (1566 coronary patients and 1322 controls) were divided into three subgroups according to FRS. Multiplicative GRS was determined for 32 genetic variants associated to CAD. Logistic Regression and Area Under the Curve (AUC) were determined first, using the TRF for each FRS subgroup, and secondly, adding GRS. Different models (TRF, TRF+GRS) were used to classify the subjects into risk categories for the FRS 10-year predicted risk. The improvement offered by GRS was expressed as Net Reclassification Index and Integrated Discrimination Improvement. Multivariate analysis showed that GRS was an independent predictor for CAD (OR = 1.87; p<0.0001). Diabetes, arterial hypertension, dyslipidemia and smoking status were also independent CAD predictors (p<0.05). GRS added predictive value to TRF across all risk subgroups. NRI showed a significant improvement in all categories. In conclusion, GRS provided a better incremental value in intermediate subgroup. In this subgroup, inclusion of genotyping may be considered to better stratify cardiovascular risk.

[Genetic Polymorphisms Associated with the Onset of Arterial Hypertension in a Portuguese Population]. / Polimorfismos Genéticos Associados ao Aparecimento de Hipertensão Arterial Numa População Portuguesa.

INTRODUCTION: Arterial hypertension is a complex, multifactorial disease, controlled by genetic and environmental factors. OBJECTIVE: Evaluate the genetic susceptibility for developing arterial hypertension and its association with the traditional risk factors in the outbreak of this pathology. MATERIAL AND METHODS: Case-control study with 1712 individuals, mean age of 51.0 ± 7.9 years (860 hypertensive patients and 852 controls). Biochemical and traditional risk factors, and genetic variants were evaluated: ACE I/D rs4340, ACE A2350G rs4343, AGT T174M rs4762, AGT M235T rs699 AGTR1 A1166C rs5186, CYP11B2 -344 C/T rs1799998, ADRB1 R389G rs1801253, ADRB2 R16G rs1042713, ADD1 G460W rs4961, SCNN1G G173A rs5718, GNB3 C825T rs5443, ATP2B1 A/G rs2681472, CYP17A1 T/C rs11191548, SLC4A2 C/T rs2303934. The risk of each gene for hypertension was estimated by the dominant, recessive, co-dominant and multiplicative models. By logistic regression, variables associated with hypertension were evaluated. ROC curves were first performed with traditional risk factors and then adding the genetic variants associated with hypertension. Data were analyzed by SPSS for Windows 19.0 and MedCalc v. 13.3.3.0. RESULTS: The genetic variants ADD1 G460W, GNB3 C825T, ACE I/D, ACE A2350G were associated with hypertension. ROC curve with traditional risk factors and these variants showed an increase in the predictive capacity of hypertension (p = 0.018). DISCUSSION: According to the results of our study, the genetic variants found to be associated with hypertension were: ACE I/D rs4340, ACE A2350G rs4343, ADD1 G460W rs4961 and GNB3 C825T rs5443. The first two variants are associated with hypertension by interfering with the renin-angiotensin-aldosterone system, which plays an important role in regulating blood pressure. It should be noted that genes encoding the components of renin-angiotensin-aldosterone system are natural candidates for the development and progression of hypertension. In our population alpha-aducin polymorphism (ADD1 G460W rs4961) was also associated with hypertension. In a Portuguese population, known to have high salt intake, it makes sense that this polymorphism which is relevant in salt and water management may consequently be relevant in the onset of hypertension. The genetic variant GNB3 C825T rs5443 that affects intracellular signalling was also found to be a strong risk candidate for hypertension. Initially, with the elaboration of the ROC curve and calculation of the AUC using only with traditional risk factors and later by adding the variants ADD1 G460W, GNB3 C825T, ACE I/D and ACE A2350G to the traditional risk factors, we verified that genetic polymorphisms increased the predictive risk of hypertension, when compared to the risk given only by traditional risk factors, with statistical significance (p = 0.018). This suggests that hypertension is a multifactorial disease that results from the interaction of environmental, genetic and lifestyle factors that interact with each other and lead to the advent of this important pathology. CONCLUSION: In our study, the hypertension-associated polymorphisms are linked to the renin-angiotensin-aldosterone axis (ACE I/D, ACE A2350G), as well as to salt and water management (ADD1 G460W, GNB3 C825T). Through a multivariate analysis, it was concluded that these two last genetic variants together with four of the traditional risk factors (smoking, alcohol consumption, obesity and diabetes) are associated in a significant and independent way with essential hypertension. In a predictive model of hypertension, the introduction of genetic variants slightly increases the predictive value of the model.

Introdução: A hipertensão arterial é uma doença complexa, multifatorial, controlada por fatores genéticos e ambientais.Objetivo: Avaliar a susceptibilidade genética no aparecimento de hipertensão arterial e sua associação com os fatores de risco tradicionais na eclosão desta patologia.Material e Métodos: Estudo caso-controlo com 1712 indivíduos, idade média de 51,0 ± 7,9 anos (860 hipertensos e 852 controlos). Avaliaram-se os fatores tradicionais, bioquímicos e as variantes genéticas: ACE I/D rs4340, ACE A2350G rs4343, AGT T174M rs4762, AGT M235T rs699 AGTR1 A1166C rs5186, CYP11B2 -344 C/T rs1799998, ADRB1 R389G rs1801253, ADRB2 R16G rs1042713, ADD1 G460W rs4961, SCNN1G G173A rs5718, GNB3 C825T rs5443, ATP2B1 A/G rs2681472, CYP17A1 T/C rs11191548, SLC4A2 C/T rs2303934. Calculámos o risco de cada gene para a hipertensão, pelos modelos dominante, recessivo, co-dominante e multiplicativo. Através da regressão logística, avaliámos as variáveis associadas à hipertensão. Elaboraram-se curvas ROC com os fatores tradicionais e posteriormente adicionando as variantes genéticas associadas com hipertensão. Analisámos os dados através do SPSS for Windows 19.0 e MedCalc v. 13.3.3.0.Resultados: As variantes genéticas ADD1 G460W, GNB3 C825T, ACE I/D e ACE A2350G associaram-se à hipertensão. A curva ROC com os factores de risco tradicionais e estas variantes mostrou um incremento na capacidade preditiva de hipertensão (p = 0,018).Discussão: Segundo os resultados do nosso estudo as variantes genéticas que após análise univariada se associaram à hipertensão arterial foram a ACE I/D rs4340, ACE A2350G rs4343, ADD1 G460W rs4961, GNB3 C825T rs5443. As duas primeiras variantes relacionam-se com a hipertensão arterial por interferirem no sistema renina-angiotensina-aldosterona, que tem um importante papel na regulação da pressão arterial. Salienta-se o facto dos genes que codificam os componentes do sistema renina-angiotensinaaldosterona serem candidatos naturais ao desenvolvimento e progressão da hipertensão arterial. Também na nossa população os polimorfismos da alfa-aducina (ADD1 G460W rs4961), associaram-se à hipertensão arterial. Nesta população portuguesa, conhecida por ter elevado consumo de sal, faz sentido que estes polimorfismos, sejam relevantes na gestão do sal e da água e consequentemente, no aparecimento de hipertensão arterial. A variante genética GNB3 C825T rs5443 que interfere na sinalização intracelular também constituiu uma forte candidata à hipertensão arterial. Com a elaboração da curva ROC e cálculo das AUC inicialmente só com os fatores de risco tradicionais e posteriormente adicionando as variantes ADD1 G460W, GNB3 C825T, ACE I/D e ACE A2350G aos fatores de risco tradicionais, verificámos ter havido um incremento no risco preditivo de hipertensão arterial, relativamente ao existente só com os fatores de risco tradicionais, com significado estatístico (p = 0,018). Isto sugere que a hipertensão arterial é uma doença multifatorial, que resulta da interação de fatores ambientais, genéticos e estilos de vida que interagem entre si e levam ao aparecimento desta importante patologia.Conclusão: No nosso estudo os polimorfismos associados à hipertensão, estão ligados ao eixo renina-angiotensina-aldosterona (ACE I/D, ACE A2350G), bem como à gestão de sal e água (ADD1 G460W, GNB3 C825T). Através de uma análise multivariada, concluiu-se que estas duas últimas variantes genéticas conjuntamente com quatro dos fatores tradicionais (tabagismo, hábitos alcoólicos, obesidade e diabetes) se associam de forma significativa e independente à hipertensão arterial essencial. Num modelo preditivo de hipertensão arterial, a introdução das variantes genéticas aumenta ligeiramente o valor preditivo do modelo.

Genetic Risk Analysis of Coronary Artery Disease in a Population-based Study in Portugal, Using a Genetic Risk Score of 31 Variants.

BACKGROUND: Genetic risk score can quantify individual's predisposition to coronary artery disease; however, its usefulness as an independent risk predictor remains inconclusive. OBJECTIVE: To evaluate the incremental predictive value of a genetic risk score to traditional risk factors associated with coronary disease. METHODS: Thirty-three genetic variants previously associated with coronary disease were analyzed in a case-control population with 2,888 individuals. A multiplicative genetic risk score was calculated and then divided into quartiles, with the 1st quartile as the reference class. Coronary risk was determined by logistic regression analysis. Then, a second logistic regression was performed with traditional risk factors and the last quartile of the genetic risk score. Based on this model, two ROC curves were constructed with and without the genetic score and compared by the Delong test. Statistical significance was considered when p values were less than 0.05. RESULTS: The last quartile of the multiplicative genetic risk score revealed a significant increase in coronary artery disease risk (OR = 2.588; 95% CI: 2.090-3.204; p < 0.0001). The ROC curve based on traditional risk factors estimated an AUC of 0.72, which increased to 0.74 when the genetic risk score was added, revealing a better fit of the model (p < 0.0001). CONCLUSIONS: In conclusion, a multilocus genetic risk score was associated with an increased risk for coronary disease in our population. The usual model of traditional risk factors can be improved by incorporating genetic data.

Genetic Risk Analysis of Coronary Artery Disease in a Population-based Study in Portugal, Using a Genetic Risk Score of 31 Variants / Análise de Risco Genético da Doença Arterial Coronariana em um Estudo Populacional em Portugal, Usando um Score de Risco Genético com 31 Variantes

Abstract Background: Genetic risk score can quantify individual's predisposition to coronary artery disease; however, its usefulness as an independent risk predictor remains inconclusive. Objective: To evaluate the incremental predictive value of a genetic risk score to traditional risk factors associated with coronary disease. Methods: Thirty-three genetic variants previously associated with coronary disease were analyzed in a case-control population with 2,888 individuals. A multiplicative genetic risk score was calculated and then divided into quartiles, with the 1st quartile as the reference class. Coronary risk was determined by logistic regression analysis. Then, a second logistic regression was performed with traditional risk factors and the last quartile of the genetic risk score. Based on this model, two ROC curves were constructed with and without the genetic score and compared by the Delong test. Statistical significance was considered when p values were less than 0.05. Results: The last quartile of the multiplicative genetic risk score revealed a significant increase in coronary artery disease risk (OR = 2.588; 95% CI: 2.090-3.204; p < 0.0001). The ROC curve based on traditional risk factors estimated an AUC of 0.72, which increased to 0.74 when the genetic risk score was added, revealing a better fit of the model (p < 0.0001). Conclusions: In conclusion, a multilocus genetic risk score was associated with an increased risk for coronary disease in our population. The usual model of traditional risk factors can be improved by incorporating genetic data.

Resumo Fundamento: O escore de risco genético pode quantificar a predisposição do indivíduo em desenvolver doença arterial coronariana; no entanto, sua utilidade como preditor de risco independente permanece inconclusiva. Objetivo: Avaliar o incremento no valor preditivo de um escore de risco genético aos fatores de risco tradicionais associados à doença arterial coronariana. Métodos: Trinta e três variantes genéticas previamente associadas à doença arterial coronariana foram analisadas em uma população caso-controle com 2888 indivíduos. Um escore de risco genético multiplicativo foi calculado e dividido em quartis, com o 1º quartil como a classe de referência. O risco coronário foi determinado por análise de regressão logística. Uma segunda regressão logística foi realizada com fatores de risco tradicionais e o último quartil do escore de risco genético. Com base nesse modelo, duas curvas ROC foram construídas com e sem o escore de risco e comparadas pelo teste de DeLong. A significância estatística foi considerada quando os valores de p eram inferiores a 0,05. Resultados: O último quartil do score de risco genético multiplicativo revelou um aumento significativo no risco de doença arterial coronariana (OR = 2,588; IC 95%: 2,090-3,204; p < 0,0001). A curva ROC baseada nos fatores de risco tradicionais estimou uma AUC de 0,72, que aumentou para 0,74 quando o score de risco genético foi adicionado, revelando um ajuste melhor do modelo (p < 0,0001). Conclusões: Em conclusão, um escore de risco genético com múltiplos loci foi associado a um risco aumentado de doença coronariana na nossa população. O modelo usual de fatores de risco tradicionais pode ser melhorado pela incorporação de dados genéticos.

The genetic variant C825T of the beta 3 subunit of G protein is associated with hypertension in a Portuguese population. / A variante genética c825t da subunidade ß3da proteína G associa­se com a hipertensão arterial numa população portuguesa.

INTRODUCTION: Hypertension is an important public health problem, affecting about 25% of the adult population worldwide.1 Genetic and environmental factors contribute to its pathogenesis. The T allele of the C825T polymorphism of the beta 3 subunit of G protein (rs5443) leads to the production of a truncated variant that enhances intracellular signaling and may interfere with the regulation of blood pressure. This genetic variant has been described as a risk factor for hypertension, although study results are controversial. OBJECTIVE: The objective of this study was to analyze the association of the C825T polymorphism of the GNB3 gene with the occurrence of hypertension in a Portuguese population from the Madeira archipelago. METHODS: A case-control study was performed with 1641 Caucasian individuals (mean age 50.6±8.1 years), 848 with hypertension and 793 controls. Blood was collected from all participants for biochemical and genetic analysis, including genotyping of the C825T polymorphism. Logistic regression analysis was performed to determine which variables were significantly associated with the onset of hypertension. Statistical analyses were performed using IBM SPSS version 19.0 and p-values <0.05 were considered statistically significant. RESULTS: In our study, there was a significant association between the C825T polymorphism of the GNB3 gene and the occurrence of hypertension (odds ratio 1.275; 95% confidence interval 1.042-1.559; p=0.018) in the dominant model, after multivariate analysis. CONCLUSION: We conclude that the C825T polymorphism of the beta 3 subunit of G protein is significantly and independently associated with the occurrence of hypertension in the study population.

Relationship between ADD1 Gly460Trp gene polymorphism and essential hypertension in Madeira Island.

Essential hypertension (EH) is a complex disease in which physiological, environmental, and genetic factors are involved in its genesis. The genetic variant of the alpha-adducin gene (ADD1) has been described as a risk factor for EH, but with controversial results.The objective of this study was to evaluate the association of ADD1 (Gly460Trp) gene polymorphism with the EH risk in a population from Madeira Island.A case-control study with 1614 individuals of Caucasian origin was performed, including 817 individuals with EH and 797 controls. Cases and controls were matched for sex and age, by frequency-matching method. All participants collected blood for biochemical and genotypic analysis for the Gly460Trp polymorphism. We further investigated which variables were independently associated to EH, and, consequently, analyzed their interactions.In our study, we found a significant association between the ADD1 gene polymorphism and EH (odds ratio 2.484, P = .01). This association remained statistically significant after the multivariate analysis (odds ratio 2.548, P = .02).The ADD1 Gly460Trp gene polymorphism is significantly and independently associated with EH risk in our population. The knowledge of genetic polymorphisms associated with EH is of paramount importance because it leads to a better understanding of the etiology and pathophysiology of this pathology.

Genetic characterization of Guinea-Bissau using a 12 X-chromosomal STR system: Inferences from a multiethnic population.

A male West African sample from Guinea-Bissau (West-African coast) was genetically analyzed using 12 X chromosomal short tandem repeats that are grouped into four haplotype groups. Linkage disequilibrium was tested (p≤0.0008) and association was detected for the majority of markers in three out of the four studied haplotype clusters. The sample of 332 unrelated individuals analyzed in this study belonged to several recognized ethnic groups (n=18) which were used to evaluate the genetic variation of Guinea-Bissau's population. Pairwise genetic distances (FST) did not reveal significant differences among the majority of groups. An additional 110 samples from other countries also belonging to West Africa were as well compared with the sample of Guinea-Bissau. No significant differences were found between these two groups of West African individuals, supporting the genetic homogeneity of this region on the X chromosome level. The generation of over 100 DNA West African sequences provided new insights into the repeat sequence structure of some of the present X-STRs. Parameters for forensic evaluation were also calculated for each X-STR, supporting the potential application of these markers in typical kinship scenarios. Also, the high power of discrimination values for samples of female and male origin observed in this study, confirms the usefulness of the present X-STRs in identification analysis.

Synergistic Association of Genetic Variants with Environmental Risk Factors in Susceptibility to Essential Hypertension.

AIMS: Essential hypertension (EH) is a disease in which both environment and genes have an important role. This study was designed to identify the interaction model between genetic variants and environmental risk factors that most highly potentiates EH development. METHODS: We performed a case-control study with 1641 participants (mean age 50.6 ± 8.1 years), specifically 848 patients with EH and 793 controls, adjusted for gender and age. Traditional risk factors, biochemical and genetic parameters, including the genotypic discrimination of 14 genetic variants previously associated with EH, were investigated. Multifactorial dimensionality reduction (MDR) software was used to analyze gene-environment interactions. Validation was performed using logistic regression analysis with environmental risk factors, significant genetic variants, and the best MDR model. RESULTS: The best model indicates that the interactions among the ADD1 rs4961 640T allele, diabetes, and obesity (body mass index ≥30) increase approximately four-fold the risk of EH (odds ratio = 3.725; 95% confidence interval: 2.945-4.711; p < 0.0001). CONCLUSION: This work showed that the interaction between the ADD1 rs4961 variant, obesity, and the presence of diabetes increased the susceptibility to EH four-fold. In these circumstances, lifestyle adjustment and diabetes control should be intensified in patients who carry the ADD1 variant.

The Genetic Background of Metabolic Trait Clusters in Children and Adolescents.

BACKGROUND: It is well known that metabolic risk factors of cardiovascular diseases are correlated, but the background of this clustering in children is more poorly known than in adults. Thus, we studied the contribution of genetic and environmental factors to the clustering of metabolic traits in childhood and adolescence. DATA AND METHODS: Nine metabolic traits were measured in 214 complete twin pairs aged 3-18 years in the Autonomous Region of Madeira, Portugal, in 2007 and 2008. The variation of and covariations between the traits were decomposed into genetic and environmental components by using classical genetic twin modeling. RESULTS: A model, including additive genetic and environmental factors unique for each twin individual, explained the variation of metabolic factors well. Under this model, the heritability estimates varied from 0.47 (systolic blood pressure in children under 12 years of age) to 0.91 (high-density lipoprotein [HDL] cholesterol in adolescents 12 years of age or older). The most systematic correlations were found between adiposity (body mass index and waist circumference) and blood lipids (HDL cholesterol, low-density lipoprotein cholesterol, and triglycerides), as well as blood pressure. These correlations were mainly explained by common genetic factors. CONCLUSIONS: Our results suggest that obesity, in particular, is behind the clustering of metabolic factors in children and adolescents. Both general and abdominal obesity partly share the same genetic background as blood lipids and blood pressure. Obesity prevention early in childhood is important in reducing the risk of metabolic diseases in adulthood.

Genetic risk score and cardiovascular mortality in a southern european population with coronary artery disease.

Several genetic risk scores (GRS) have been associated with cardiovascular disease; their role, however, in survival from proven coronary artery disease (CAD) have yielded conflicting results. OBJECTIVE: The objective of this study was to evaluate long-term cardiovascular mortality according to the genetic risk score in a Southern European population with CAD. METHODS: A cohort of 1464 CAD patients with angiographic proven CAD were followed up prospectively for up to 58.3 (interquartile range: 25.8-88.1) months. Genotyping of 32 single-nucleotide polymorphisms previously associated with CAD was performed using oligonucleotides probes marked with fluorescence for each allele. GRS was constructed according to the additive model assuming codominance and categorised using the median (=26). Cox Regression analysis was performed to determine independent multivariate predictors of cardiovascular mortality. Kaplan-Meier survival curves compared high vs low GRS using log-rank test. C-index was done for our population, as a measure of discrimination in survival analysis model. RESULTS: During a mean follow-up of 58.3 months, 156 patients (10.7%) died, 107 (7.3%) of CV causes. High GRS (≥26) was associated with reduced cardiovascular survival. Survival analysis with Cox regression model adjusted for 8 variables showed that high GRS, dyslipidemia, diabetes and 3-vessel disease were independent risk factors for cardiovascular mortality (HR=1.53, P=.037; HR=3.64, P=.012; HR=1.75, P=.004; HR=2.97, P<.0001, respectively). At the end of follow-up, the estimated survival probability was 70.8% for high GRS and 80.8% for low GRS (Log-rank test 5.6; P=.018). C-Index of 0.71 was found when GRS was added to a multivariate survival model of diabetes, dyslipidemia, smoking, hypertension and 3 vessel disease, stable angina and dual antiplatelet therapy. CONCLUSIONS: Besides the classical risk factors management, this work highlights the relevance of the genetic profile in survival from CAD. It is expected that new therapies will be dirsected to gene targets with proven value in cardiovascular survival.

Genetic Polymorphism of Drug-Metabolizing Enzymes CYP2C9 and CYP2C19 in Moroccan Population.

BACKGROUND: The polymorphic cytochrome P450 isoenzymes CYP2C9 and CYP2C19 are involved in the biotransformation of a wide variety of clinical drugs. Their major alleles occur with varying frequencies among different populations worldwide and have been associated with a varied capacity to degrade important therapeutic agents. This gives rise to important individual and interethnic variability in drug metabolism and may be the cause for different clinical responses regarding drug administration. In this study we aimed to analyze the distribution of the CYP2C9 and CYP2C19 major alleles associated with the impaired metabolism, and that account for the "poor metabolizer" phenotype in our study population. METHODS: A sample of 290 healthy subjects living in South Morocco was genotyped using a restriction fragment length polymorphism-polymerase chain reaction genotyping method. RESULTS: The CYP2C9*3 and CYP2C19*3 mutations were not found in our population. The CYP2C9*2 and CYP2C19*2 were the most common alleles, respectively with frequencies of 8% and 11.4%. Regarding CYP2C9*2 and CYP2C19*2, approximately 16% and 22% of Moroccans are respectively deficient metabolizers, and thus largely lack this enzymatic activity. Our results suggest that only CYP2C9*2 and CYP2C19*2 are likely to substantially contribute to individual and interethnic variability of CY2C9-19 activity in our population. CONCLUSIONS: The distribution of clinically relevant alleles of the CYP2C19 and CYP2C9 genes among our population follows the patterns commonly found in other Mediterranean populations, and suggests a certain degree of African influence. This population study provides relevant information on polymorphisms within the CYP2C19 and CYP2C9 genes. In the future, these results could be used in prognosis and for predicting response to drug treatments as well as to help develop personalized medicine studies in the Moroccan population.

New sequence variants detected at DXS10148, DXS10074 and DXS10134 loci.

A great amount of population and forensic genetic data are available for X-STRs supporting the need for having a common and accurate nomenclature among laboratories allowing for better communication, data exchange, and data comparison. DXS10148, DXS10074 and DXS10134 are commonly used X-STRs particularly due to their inclusion in the commercial kit Investigator Argus X-12 (Qiagen). Samples from West Africa and Iraq were sequenced for all three X-STRs allowing the detection of new DNA sequence variants. At DXS10148, variation was detected at four bases downstream from the flanking region from the repeat motif. The sequence AAGG-AAAG has been detected for the first time as a varying (AAGG-AAAG)1-3 motif, in the present work. One additional string when compared to the common one (AAGG-AAAG)2 adds eight bases to the fragment size of the tetranucleotide STR. This means that 2 repeats are added in these cases to the fragment size of the allele, while the presence of only one copy will reduce the expected allele size by 2 repeats. At DXS10074 two varying stretches consisting of AC and AG dinucleotide repeats were observed in the upstream flanking region, six bases from the main repeat core that also influence the expected allele size. DXS10134 revealed a simpler nomenclature in the Guinea-Bissau sample set when compared to the previously described allele nomenclature. This detected new hidden variation also has impact on the actual allele nomenclature at this locus as it contributes to a new class of short alleles so far undetected in other studies.

RTTN mutations link primary cilia function to organization of the human cerebral cortex.

Polymicrogyria is a malformation of the developing cerebral cortex caused by abnormal organization and characterized by many small gyri and fusion of the outer molecular layer. We have identified autosomal-recessive mutations in RTTN, encoding Rotatin, in individuals with bilateral diffuse polymicrogyria from two separate families. Rotatin determines early embryonic axial rotation, as well as anteroposterior and dorsoventral patterning in the mouse. Human Rotatin has recently been identified as a centrosome-associated protein. The Drosophila melanogaster homolog of Rotatin, Ana3, is needed for structural integrity of centrioles and basal bodies and maintenance of sensory neurons. We show that Rotatin colocalizes with the basal bodies at the primary cilium. Cultured fibroblasts from affected individuals have structural abnormalities of the cilia and exhibit downregulation of BMP4, WNT5A, and WNT2B, which are key regulators of cortical patterning and are expressed at the cortical hem, the cortex-organizing center that gives rise to Cajal-Retzius (CR) neurons. Interestingly, we have shown that in mouse embryos, Rotatin colocalizes with CR neurons at the subpial marginal zone. Knockdown experiments in human fibroblasts and neural stem cells confirm a role for RTTN in cilia structure and function. RTTN mutations therefore link aberrant ciliary function to abnormal development and organization of the cortex in human individuals.

Distribution of polymorphisms IL4-590 C/T and IL4 RP2 in the human populations of Madeira, Azores, Portugal, Cape Verde and Guinea-Bissau.

The IL4 gene is located on chromosome 5q23.3-31.2. Polymorphisms within this cytokine gene, like the derivative allele T of IL4-590, have been reported as being associated to elevated IgE serum levels and asthma. In the present work, the allelic and genotypic frequency of the IL4-590 and IL4 RP2 polymorphisms was carried out in 599 individuals from Madeira, Azores, Portugal mainland, Cape Verde and Guinea-Bissau and in a sample of 101 asthmatics from Madeira population. In all populations the polymorphisms were in LD and presented a significant dissimilar allelic and genotypic distribution (p<0.05) except between mainland Portugal and Madeira when compared to Azores. Significant differences regarding both loci were found between Madeira population and the group of asthmatics. Genotype 183183TT frequency is higher for African populations while 253253CC prevails in Caucasian populations. The existence of a Hardy-Weinberg Disequilibrium in Guinea-Bissau population not observed in neutral markers leads to the hypothesis of natural selection occurring in these loci probably associated to a rapid population growth an hypothesis strengthened by neutral STRs D5S818 and CSF1PO gene diversity.

Independent association of the variant rs1333049 at the 9p21 locus and coronary heart disease.

INTRODUCTION: Recent genome-wide association studies have identified single-nucleotide polymorphisms (SNPs) at the 9p21 locus as risk factors for coronary artery disease (CAD). Among them, the SNP rs1333049 has demonstrated a consistent association with CAD, which has been successfully replicated in several populations. AIM: To investigate whether the SNP rs1333049 located on the 9p21 chromosome is an independent risk factor for CAD in a Portuguese population. METHODS: We performed a case-control study which included 1406 individuals, 723 consecutive coronary patients (mean age 53.71 +/- 8.9 years, 79.9% male and 683 controls without coronary disease (mean age 53.3 +/- 10.5 years, 73.9% male). Cases and controls were selected so as not to be significantly different in terms of gender and age. We studied the SNP rs1333049 at the 9p21 locus in all individuals, using standard PCR combined with the TaqMan technique (Applied Biosystems). The allelic and genotype distribution (C/G), odds ratios and corresponding confidence intervals for CAD risk were determined. A forward Wald logistic regression analysis model was constructed, adjusted for age, gender, conventional risk factors, biochemical markers and the genotypes under study, in order to determine which variables were linked significantly and independently with CAD. RESULTS: The C allele was found in 60% of the CAD patients and 53% of the controls, with OR = 1.33; p = 0.0002. The CC genotype appeared in 35.7% of CAD patients, with OR = 1.34, p = 0.010. The heterozygous CG genotype was present in 48.1% of the CAD patients and 47% of the controls, and did not present vascular risk (OR = 1.05, p = 0.670). After logistic regression analysis, the CC genotype remained in the equation with OR = 1.7; p = 0.018 and CG with OR = 1.5, p = 0.048. CONCLUSION: In the present study we replicated the coronary risk linked to the recently discovered variant rs1333049 on the 9p21 chromosome in a Portuguese population. Although the mechanism underlying the risk is still unknown, the robustness of this risk allele in risk stratification for CAD has been consistent, even in very different populations. The presence of the CC or CG genotype may thus prove to be useful for predicting the risk of developing CAD in the Portuguese population.