Luisa Mota‐vieira
Biographic Data
| ID | 4285520 |
|---|---|
| NAME | Luisa Mota‐vieira |
| GIVEN NAMES | Luisa |
| FAMILY NAME | Mota‐vieira |
| SIGNATURE | VIEIRA L M |
| AFFILIATIONS | Hospital do Divino Espírito Santo |
| ORCID | 0000-0003-1451-6705 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 9 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2003 |
| LATEST PUBLICATION YEAR | 2017 |
| H-INDEX | 2 |
Mitochondrial DNA analysis of Tunisians reveals a mosaic genetic structure with recent population expansion
Genealogical and molecular analysis of a family-based cohort of congenital heart disease patients from the São Miguel Island (Azores, Portugal)
This study analysed several genealogical and genetic features related with CHD, revealing the presence of parental consanguinity and extensive familial aggregation in the CHD patients from São Miguel Island
Genetic variation in key genes associated with statin therapy in the Azores Islands (Portugal) healthy population
The results contribute to overcome the lack of knowledge regarding the frequency of pharmacogenetic SNPs and their corresponding haplotypes in targeted populations, such as Azores islands. Moreover, the present work constitutes an initial step to implementing pharmacogenomics in clinical practice where physicians could use a patient's genetic make-up to optimize statin therapy, regarding efficiency and myopathy risk
Genetic signature of the São Miguel island population (Azores) assessed by 21 microsatellite loci
To study the genetic diversity of São Miguel's population we compared 21 microsatellite loci in 204 individuals from São Miguel island and 103 individuals from mainland Portugal. The results show that São Miguel and mainland Portugal populations have an average gene diversity of 0.767 and 0.765, respectively. Allele frequencies of all markers are comparable to other European populations. This observation is corroborated by the genetic relationshi…
Evaluation of linkage disequilibrium on the Xq13.3 region
The design of genetic studies of complex diseases is dependent on the extent and distribution of linkage disequilibrium (LD) across the genome in different populations. Here, we characterize the extent of LD in the Azores (Western, Central, and Eastern island groups) and mainland Portugal populations. LD was evaluated in the Xq13.3 region by genotyping eight STR markers spanning 20.9 Mb. Standardized multiallelic disequilibrium coefficient (D') a…
Azores Islands
Overall, the Azorean population can be analysed as a homogeneous genetic group, which consequently, would present, possibly, the same drug-reaction profile. In terms of genomic medicine, these results will have a significant impact on the design of future genetic and pharmacogenomic studies in the Azorean population
Assessment of Azorean ancestry by Alu insertion polymorphisms
Knowledge of population ancestry from genetic markers is essential, for example, to understand the history of human migration and to carry out admixture and association studies. Here we assess the genome ancestry of the Azorean population through analysis of six Alu polymorphic sites (TPA-25, ACE, APO, B65, PV92, and D1) in 65 Azoreans and 30 Portuguese unrelated blood donors and compare data for the Y-chromosome and mtDNA. Allele frequencies wer…
Geography of surnames in the Azores
In order to obtain a better understanding of the genetic structure of the Azorean population, a specificity and spatial distribution analysis was performed, based on 2,454 different surnames present in the Azorean telephone directory (2002). We considered as specific surnames those with an absolute frequency ratio equal to or higher than 50%. The results revealed 51 specific surnames in the whole archipelago. The smallest island presents the only…
Surnames in the Azores
Geographic isolation is a significant factor to consider when characterizing human populations. The knowledge of the genetic structure of isolated populations has been of great importance to disease-locus positioning and gene identification. To investigate the genetic structure of the Azorean population, we conducted a survey based on the frequencies of surnames listed in the 2001 telephone book. We calculated the following parameters: isonymy (I…
Population Structure of Sao Miguel Island, Azores
The knowledge of a population structure may constitute a powerful tool for mapping genes underlying susceptibility to Mendelian and complex diseases. To obtain a better understanding of the population structure of São Miguel Island (Azorean Archipelago, Portugal), we carried out a surname survey using the surnames listed in the most recent telephone book (2001). We identified 1315 different surnames in a total of 27,621 subscribers. The frequency…
Population Structure of Sao Miguel Island, Azores
The knowledge of a population structure may constitute a powerful tool for mapping genes underlying susceptibility to Mendelian and complex diseases. To obtain a better understanding of the population structure of São Miguel Island (Azorean Archipelago, Portugal), we carried out a surname survey using the surnames listed in the most recent telephone book (2001). We identified 1315 different surnames in a total of 27,621 subscribers. The frequency…
Surnames in the Azores
Geographic isolation is a significant factor to consider when characterizing human populations. The knowledge of the genetic structure of isolated populations has been of great importance to disease-locus positioning and gene identification. To investigate the genetic structure of the Azorean population, we conducted a survey based on the frequencies of surnames listed in the 2001 telephone book. We calculated the following parameters: isonymy (I…
Population Structure of Sao Miguel Island, Azores
The knowledge of a population structure may constitute a powerful tool for mapping genes underlying susceptibility to Mendelian and complex diseases. To obtain a better understanding of the population structure of São Miguel Island (Azorean Archipelago, Portugal), we carried out a surname survey using the surnames listed in the most recent telephone book (2001). We identified 1315 different surnames in a total of 27,621 subscribers. The frequency…
Geography of surnames in the Azores
In order to obtain a better understanding of the genetic structure of the Azorean population, a specificity and spatial distribution analysis was performed, based on 2,454 different surnames present in the Azorean telephone directory (2002). We considered as specific surnames those with an absolute frequency ratio equal to or higher than 50%. The results revealed 51 specific surnames in the whole archipelago. The smallest island presents the only…
Surnames in the Azores
Geographic isolation is a significant factor to consider when characterizing human populations. The knowledge of the genetic structure of isolated populations has been of great importance to disease-locus positioning and gene identification. To investigate the genetic structure of the Azorean population, we conducted a survey based on the frequencies of surnames listed in the 2001 telephone book. We calculated the following parameters: isonymy (I…
Assessment of Azorean ancestry by Alu insertion polymorphisms
Knowledge of population ancestry from genetic markers is essential, for example, to understand the history of human migration and to carry out admixture and association studies. Here we assess the genome ancestry of the Azorean population through analysis of six Alu polymorphic sites (TPA-25, ACE, APO, B65, PV92, and D1) in 65 Azoreans and 30 Portuguese unrelated blood donors and compare data for the Y-chromosome and mtDNA. Allele frequencies wer…
Genetic signature of the São Miguel island population (Azores) assessed by 21 microsatellite loci
To study the genetic diversity of São Miguel's population we compared 21 microsatellite loci in 204 individuals from São Miguel island and 103 individuals from mainland Portugal. The results show that São Miguel and mainland Portugal populations have an average gene diversity of 0.767 and 0.765, respectively. Allele frequencies of all markers are comparable to other European populations. This observation is corroborated by the genetic relationshi…
Evaluation of linkage disequilibrium on the Xq13.3 region
The design of genetic studies of complex diseases is dependent on the extent and distribution of linkage disequilibrium (LD) across the genome in different populations. Here, we characterize the extent of LD in the Azores (Western, Central, and Eastern island groups) and mainland Portugal populations. LD was evaluated in the Xq13.3 region by genotyping eight STR markers spanning 20.9 Mb. Standardized multiallelic disequilibrium coefficient (D') a…
Azores Islands
Overall, the Azorean population can be analysed as a homogeneous genetic group, which consequently, would present, possibly, the same drug-reaction profile. In terms of genomic medicine, these results will have a significant impact on the design of future genetic and pharmacogenomic studies in the Azorean population
Genetic variation in key genes associated with statin therapy in the Azores Islands (Portugal) healthy population
The results contribute to overcome the lack of knowledge regarding the frequency of pharmacogenetic SNPs and their corresponding haplotypes in targeted populations, such as Azores islands. Moreover, the present work constitutes an initial step to implementing pharmacogenomics in clinical practice where physicians could use a patient's genetic make-up to optimize statin therapy, regarding efficiency and myopathy risk
Genealogical and molecular analysis of a family-based cohort of congenital heart disease patients from the São Miguel Island (Azores, Portugal)
This study analysed several genealogical and genetic features related with CHD, revealing the presence of parental consanguinity and extensive familial aggregation in the CHD patients from São Miguel Island
Mitochondrial DNA analysis of Tunisians reveals a mosaic genetic structure with recent population expansion
Demography (9 works) · Population (9 works) · Biology (8 works) · Forensic and Genetic Research (7 works) · Genetic diversity and population structure (7 works) · Genetics (7 works) · Geography (7 works) · Evolutionary biology (6 works) · Demography (5 works) · Gene (5 works)