Literature DB >> 18071703

Identification of beta thalassemia mutations in South Brazilians.

Vivian C D Reichert1, Simone M de Castro, Sandrine C Wagner, Dulcinéia M de Albuquerque, Mara H Hutz, Sandra Leistner-Segal.   

Abstract

We have evaluated the mutation profile in a sample of 127 unrelated beta-thalassemia (beta thal) individuals, diagnosed through A2 and fetal hemoglobin quantification by high-performance liquid chromatography (HPLC) from the Brazilian southernmost state, where a flow of Italian immigrants had occurred in the late 19th century, mainly from Northern Italy. The molecular analysis was performed by DNA sequencing of the most common mutations found in the Mediterranean region. The beta 0 codon 39 nonsense mutation was the most frequent alteration (50.9%), followed by beta+ IVSI 110 G>A (18.1%), beta 0 IVSI 1 G>A (12.9%), beta+ IVSI 6 T>C (9.5%), and other rare mutations (8.6%). The chosen gene sequence was able to identify 91% beta-thal mutations in the population studied, showing some similarity with allele frequencies of the mainly colonizing countries of Rio Grande do Sul state. The comparison of our results to other Brazilian studies has shown significant differences. Therefore, we can conclude that the genotypic profile of beta-thal shows great variability. Hence, it would be arbitrary to infer regional study results as being representative of the Brazilian whole population. Brazilian researchers of different regions should identify their most frequent genotypes to provide better understanding on this disease and state adequate public health policies.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 18071703     DOI: 10.1007/s00277-007-0418-z

Source DB:  PubMed          Journal:  Ann Hematol        ISSN: 0939-5555            Impact factor:   3.673


  7 in total

1.  Hb S/β-Thalassemia in the REDS-III Brazil Sickle Cell Disease Cohort: Clinical, Laboratory and Molecular Characteristics.

Authors:  André R Belisário; Anna B Carneiro-Proietti; Ester Cerdeira Sabino; Aderson Araújo; Paula Loureiro; Cláudia Máximo; Miriam V Flor-Park; Daniela D O W Rodrigues; Mina Cintho Ozahata; Christopher McClure; Rosimere Afonso Mota; Isabel C Gomes Moura; Brian Custer; Shannon Kelly
Journal:  Hemoglobin       Date:  2020-03-16       Impact factor: 0.849

2.  Detection of responsible mutations for beta thalassemia in the Kermanshah Province of Iran using PCR-based techniques.

Authors:  Zohreh Rahimi; Adriana Muniz; Abbas Parsian
Journal:  Mol Biol Rep       Date:  2009-05-13       Impact factor: 2.316

3.  Prevalence of common α-thalassemia determinants in south Brazil: Importance for the diagnosis of microcytic anemia.

Authors:  Sandrine C Wagner; Simone M de Castro; Tatiana P Gonzalez; Ana P Santin; Leticia Filippon; Carina F Zaleski; Laura A Azevedo; Bruna Amorin; Sidia M Callegari-Jacques; Mara H Hutz
Journal:  Genet Mol Biol       Date:  2010-12-01       Impact factor: 1.771

4.  Characterization of beta-thalassemia mutations in patients from the state of Rio Grande do Norte, Brazil.

Authors:  Zama Messala Luna da Silveira; Maria das Vitórias Barbosa; Thales Allyrio Araújo de Medeiros Fernandes; Elza Miyuki Kimura; Fernando Ferreira Costa; Maria de Fátima Sonati; Ivanise Marina Moretti Rebecchi; Tereza Maria Dantas de Medeiros
Journal:  Genet Mol Biol       Date:  2011-07-01       Impact factor: 1.771

5.  Anti-Toxoplasma gondii antibodies in patients with beta-hemoglobinopathies: the first report in the Americas.

Authors:  Marina Neves Ferreira; Claudia Regina Bonini-Domingos; Isabeth Fonseca Estevão; Clarice Lopes de Castro Lobo; Gisele Cristina Souza Carrocini; Aparecida Perpétuo Silveira-Carvalho; Octávio Ricci; Luiz Carlos de Mattos; Cinara Cássia Brandão de Mattos
Journal:  BMC Res Notes       Date:  2017-06-14

6.  High resolution melting analysis: a rapid screening and typing tool for common β-thalassemia mutation in Chinese population.

Authors:  Min Lin; Ji-Wei Jiao; Xiu-Hui Zhan; Xiao-Fen Zhan; Mei-Chen Pan; Jun-Li Wang; Chun-Fang Wang; Tian-Yu Zhong; Qin Zhang; Xia Yu; Jiao-Ren Wu; Hui-Tian Yang; Fen Lin; Xin Tong; Hui Yang; Guang-Cai Zha; Qian Wang; Lei Zheng; Ying-Fang Wen; Li-Ye Yang
Journal:  PLoS One       Date:  2014-08-04       Impact factor: 3.240

7.  Use of an automated pyrosequencing technique for confirmation of sickle cell disease.

Authors:  Camila Cruz de Martino; Cecilia Salete Alencar; Paula Loureiro; Anna Barbara de Freitas Carneiro-Proietti; Claudia de Alvarenga Máximo; Rosimere Afonso Mota; Daniela Oliveira Werneck Rodrigues; Nelson Gaburo Junior; Shannon Kelly; Ester Cerdeira Sabino
Journal:  PLoS One       Date:  2019-12-12       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.