BACKGROUND: Balancing the subject composition of case and control groups to create homogenous ancestries between each group is essential for medical association studies. METHODS: We explored the applicability of single-tube 34-plex ancestry informative markers (AIM) single nucleotide polymorphisms (SNPs) to estimate the African Component of Ancestry (ACA) to design a future case-control association study of a Brazilian urban sample. RESULTS: One hundred eighty individuals (107 case group; 73 control group) self-described as white, brown-intermediate or black were selected. The proportions of the relative contribution of a variable number of ancestral population components were similar between case and control groups. Moreover, the case and control groups demonstrated similar distributions for ACA <0.25 and >0.50 categories. Notably a high number of outlier values (23 samples) were observed among individuals with ACA <0.25. These individuals presented a high probability of Native American and East Asian ancestral components; however, no individuals originally giving these self-described ancestries were observed in this study. CONCLUSIONS: The strategy proposed for the assessment of ancestry and adjustment of case and control groups for an association study is an important step for the proper construction of the study, particularly when subjects are taken from a complex urban population. This can be achieved using a straight forward multiplexed AIM-SNPs assay of highly discriminatory ancestry markers.
BACKGROUND: Balancing the subject composition of case and control groups to create homogenous ancestries between each group is essential for medical association studies. METHODS: We explored the applicability of single-tube 34-plex ancestry informative markers (AIM) single nucleotide polymorphisms (SNPs) to estimate the African Component of Ancestry (ACA) to design a future case-control association study of a Brazilian urban sample. RESULTS: One hundred eighty individuals (107 case group; 73 control group) self-described as white, brown-intermediate or black were selected. The proportions of the relative contribution of a variable number of ancestral population components were similar between case and control groups. Moreover, the case and control groups demonstrated similar distributions for ACA <0.25 and >0.50 categories. Notably a high number of outlier values (23 samples) were observed among individuals with ACA <0.25. These individuals presented a high probability of Native American and East Asian ancestral components; however, no individuals originally giving these self-described ancestries were observed in this study. CONCLUSIONS: The strategy proposed for the assessment of ancestry and adjustment of case and control groups for an association study is an important step for the proper construction of the study, particularly when subjects are taken from a complex urban population. This can be achieved using a straight forward multiplexed AIM-SNPs assay of highly discriminatory ancestry markers.
Authors: C M Probst; E P Bompeixe; N F Pereira; M M de O Dalalio; J E Visentainer; L T Tsuneto; M L Petzl-Erler Journal: Hum Biol Date: 2000-08 Impact factor: 0.553
Authors: J Alves-Silva; M da Silva Santos; P E Guimarães; A C Ferreira; H J Bandelt; S D Pena; V F Prado Journal: Am J Hum Genet Date: 2000-06-28 Impact factor: 11.025
Authors: Howard M Cann; Claudia de Toma; Lucien Cazes; Marie-Fernande Legrand; Valerie Morel; Laurence Piouffre; Julia Bodmer; Walter F Bodmer; Batsheva Bonne-Tamir; Anne Cambon-Thomsen; Zhu Chen; J Chu; Carlo Carcassi; Licinio Contu; Ruofu Du; Laurent Excoffier; G B Ferrara; Jonathan S Friedlaender; Helena Groot; David Gurwitz; Trefor Jenkins; Rene J Herrera; Xiaoyi Huang; Judith Kidd; Kenneth K Kidd; Andre Langaney; Alice A Lin; S Qasim Mehdi; Peter Parham; Alberto Piazza; Maria Pia Pistillo; Yaping Qian; Qunfang Shu; Jiujin Xu; S Zhu; James L Weber; Henry T Greely; Marcus W Feldman; Gilles Thomas; Jean Dausset; L Luca Cavalli-Sforza Journal: Science Date: 2002-04-12 Impact factor: 47.728
Authors: C Phillips; A Salas; J J Sánchez; M Fondevila; A Gómez-Tato; J Alvarez-Dios; M Calaza; M Casares de Cal; D Ballard; M V Lareu; A Carracedo Journal: Forensic Sci Int Genet Date: 2007-08-22 Impact factor: 4.882
Authors: Maria Alice V Willrich; Mario H Hirata; Fabiana D V Genvigir; Simone S Arazi; Ivanise M M Rebecchi; Alice C Rodrigues; Marcia M S Bernik; Egidio L Dorea; Marcelo C Bertolami; André A Faludi; Rosario D C Hirata Journal: Clin Chim Acta Date: 2008-08-05 Impact factor: 3.786
Authors: Tomás Zambrano; Mario Hiroyuki Hirata; Álvaro Cerda; Egidio L Dorea; Gelba A Pinto; Maria C Gusukuma; Marcelo C Bertolami; Luis A Salazar; Rosario Dominguez Crespo Hirata Journal: Int J Clin Exp Med Date: 2015-04-15