Literature DB >> 28405752

Genetic characterization of an X-STR decaplex system in the State of Mato Grosso, Brazil: distribution, forensic efficiency and population structure.

Joyce A Martins1, Denise P Martins2, Camila I F Oliveira-Brancati2, Juliana Martinez3, Regina M B Cicarelli3, Dorotéia R S Souza2.   

Abstract

Studies with X-STR loci show population genetic substructure, which makes necessary the characterization of such markers in the different geographical and/or ethnic populations. Therefore, this study assessed the distribution and forensic efficiency of an X-STR decaplex system in the population of the State of Mato Grosso, as well as analysed the population structure of this State based on the aforementioned system. All X-STR markers were in Hardy-Weinberg equilibrium and linkage equilibrium, and the DXS6809 was the most informative marker. The power of discrimination value in females and males was 0.99999999995 and 0.9999994, respectively. Analysis of molecular variance indicated 1.10% (p < 0.00001) of heterogeneity among Europeans, Africans, Brazilians and other Latin Americans, and in relation to such groups, the population of the State of Mato Grosso showed lower genetic variation when compared with the Brazilian group (-0.10%, p = 0.67327). The genetic distance analysis showed lower values of F ST (0.0004 ≤ F ST ≤ 0.00331), with non-significant p value (p > 0.00024), between the populations of Mato Grosso and Mato Grosso do Sul, Paraná and the Southeast region of Brazil (except for one sample of Rio de Janeiro). F ST values with significant p values (p ≤ 0.00024) were obtained between the population of Mato Grosso and Iberian, African and some Latin American populations. The X-STR decaplex system proved to be extremely useful in the population of the State of Mato Grosso, and the data obtained does not show the need for a specific forensic database for this State in relation to the Brazilian populations compared in this study, except for population of Rio de Janeiro.

Keywords:  Brazil; Mato Grosso; Population structure; X-STR

Mesh:

Year:  2017        PMID: 28405752     DOI: 10.1007/s00414-017-1578-6

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  29 in total

1.  Population genetic data for 10 X-STR loci in autochthonous Basques from Navarre (Spain).

Authors:  María José Illescas; Alba Pérez; José María Aznar; Laura Valverde; Sergio Cardoso; Jaime Algorta; Marian M de Pancorbo
Journal:  Forensic Sci Int Genet       Date:  2012-04-01       Impact factor: 4.882

2.  Genetic profile characterization of 10 X-STRs in four populations of the southeastern region of Brazil.

Authors:  Joyce A Martins; Jeane C Costa; Greiciane G Paneto; Raquel F Figueiredo; Leonor Gusmão; Paula Sánchez-Diz; Angel Carracedo; Regina M B Cicarelli
Journal:  Int J Legal Med       Date:  2010-06-16       Impact factor: 2.686

Review 3.  X-chromosomal markers: past, present and future.

Authors:  Reinhard Szibor
Journal:  Forensic Sci Int Genet       Date:  2007-04-27       Impact factor: 4.882

4.  A GEP-ISFG collaborative study on the optimization of an X-STR decaplex: data on 15 Iberian and Latin American populations.

Authors:  Leonor Gusmão; Paula Sánchez-Diz; Cíntia Alves; Iva Gomes; María Teresa Zarrabeitia; Mariel Abovich; Ivannia Atmetlla; Cecilia Bobillo; Luisa Bravo; Juan Builes; Laura Cainé; Raquel Calvo; Elizeu Carvalho; Mónica Carvalho; Regina Cicarelli; Laura Catelli; Daniel Corach; Marta Espinoza; Oscar García; Marcelo Malaghini; Joyce Martins; Fátima Pinheiro; Maria João Porto; Eduardo Raimondi; Jose Antonio Riancho; Amelia Rodríguez; Anayanci Rodríguez; Belén Rodríguez Cardozo; Vicente Schneider; Sandra Silva; Celso Tavares; Ulises Toscanini; Carlos Vullo; Martin Whittle; Iñaki Yurrebaso; Angel Carracedo; António Amorim
Journal:  Int J Legal Med       Date:  2008-12-12       Impact factor: 2.686

Review 5.  Meta-analysis of Brazilian genetic admixture and comparison with other Latin America countries.

Authors:  Ronald Rodrigues de Moura; Antonio Victor Campos Coelho; Valdir de Queiroz Balbino; Sergio Crovella; Lucas André Cavalcanti Brandão
Journal:  Am J Hum Biol       Date:  2015-03-26       Impact factor: 1.937

6.  Genetic data of X-chromosomal STRs in a Moroccan population sample (Casablanca) using an X-STR decaplex.

Authors:  Adil Laouina; Jose María Aznar; Faiza Chbel; Marian M de Pancorbo
Journal:  Forensic Sci Int Genet       Date:  2013-03-19       Impact factor: 4.882

7.  Analysis of 10 X-STRs in three African populations.

Authors:  Iva Gomes; Cíntia Alves; Karina Maxzud; Rui Pereira; Maria João Prata; Paula Sánchez-Diz; Angel Carracedo; António Amorim; Leonor Gusmão
Journal:  Forensic Sci Int Genet       Date:  2007-03-06       Impact factor: 4.882

8.  Heterogeneity in genetic admixture across different regions of Argentina.

Authors:  Sergio Avena; Marc Via; Elad Ziv; Eliseo J Pérez-Stable; Christopher R Gignoux; Cristina Dejean; Scott Huntsman; Gabriela Torres-Mejía; Julie Dutil; Jaime L Matta; Kenneth Beckman; Esteban González Burchard; María Laura Parolin; Alicia Goicoechea; Noemí Acreche; Mariel Boquet; María Del Carmen Ríos Part; Vanesa Fernández; Jorge Rey; Mariana C Stern; Raúl F Carnese; Laura Fejerman
Journal:  PLoS One       Date:  2012-04-10       Impact factor: 3.240

9.  Arlequin (version 3.0): an integrated software package for population genetics data analysis.

Authors:  Laurent Excoffier; Guillaume Laval; Stefan Schneider
Journal:  Evol Bioinform Online       Date:  2007-02-23       Impact factor: 1.625

10.  Evaluating the X chromosome-specific diversity of Colombian populations using insertion/deletion polymorphisms.

Authors:  Adriana Ibarra; Tomás Restrepo; Winston Rojas; Adriana Castillo; António Amorim; Beatriz Martínez; German Burgos; Henry Ostos; Karen Álvarez; Mauricio Camacho; Zuleyma Suarez; Rui Pereira; Leonor Gusmão
Journal:  PLoS One       Date:  2014-01-31       Impact factor: 3.240

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  1 in total

Review 1.  Forensic Applications of Markers Present on the X Chromosome.

Authors:  Fernanda M Garcia; Bárbara G O Bessa; Eldamária V W Dos Santos; Julia D P Pereira; Lyvia N R Alves; Lucas A Vianna; Matheus C Casotti; Raquel S R Trabach; Victor S Stange; Débora D Meira; Iuri D Louro
Journal:  Genes (Basel)       Date:  2022-09-07       Impact factor: 4.141

  1 in total

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