Whole-genome sequencing of a census-based elderly cohort of Brazilians

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001008203	None		-
EGAD00001008640	Whole-genome sequencing BAM files of a census-based elderly cohort of Brazilians (n=1171)	HiSeq X Ten	1

Publications	Citations
Exomic variants of an elderly cohort of Brazilians in the ABraOM database. Naslavsky MS, Yamamoto GL, de Almeida TF, Ezquina SAM, Sunaga DY, Pho N, Bozoklian D, Sandberg TOM, Brito LA, Lazar M, Bernardo DV, Amaro E, Duarte YAO, Lebrão ML, Passos-Bueno MR, Zatz M. Hum Mutat 38: 2017 751-763	113
Whole-genome sequencing of 1,171 elderly admixed individuals from São Paulo, Brazil. Naslavsky MS, Scliar MO, Yamamoto GL, Wang JYT, Zverinova S, Karp T, Nunes K, Ceroni JRM, de Carvalho DL, da Silva Simões CE, Bozoklian D, Nonaka R, Dos Santos Brito Silva N, da Silva Souza A, de Souza Andrade H, Passos MRS, Castro CFB, Mendes-Junior CT, Mercuri RLV, Miller TLA, Buzzo JL, Rego FO, Araújo NM, Magalhães WCS, Mingroni-Netto RC, Borda V, Guio H, Rojas CP, Sanchez C, Caceres O, Dean M, Barreto ML, Lima-Costa MF, Horta BL, Tarazona-Santos E, Meyer D, Galante PAF, Guryev V, Castelli EC, Duarte YAO, Passos-Bueno MR, Zatz M. Nat Commun 13: 2022 1004	22
Challenges in selecting admixture models and marker sets to infer genetic ancestry in a Brazilian admixed population. Escher LM, Naslavsky MS, Scliar MO, Duarte YAO, Zatz M, Nunes K, Oliveira SF. Sci Rep 12: 2022 21240	2
Characterization of pharmacogenomic variants in a Brazilian admixed cohort of elderly individuals based on whole-genome sequencing data. Bertholim-Nasciben L, Scliar MO, Debortoli G, Thiruvahindrapuram B, Scherer SW, Duarte YAO, Zatz M, Suarez-Kurtz G, Parra EJ, Naslavsky MS. Front Pharmacol 14: 2023 1178715	0
Whole genomes from Angola and Mozambique inform about the origins and dispersals of major African migrations. Tallman S, Sungo MDD, Saranga S, Beleza S. Nat Commun 14: 2023 7967	0