Table 1. Characterization of the ancestry profile of Brazilian geographical regions based on all 51 manuscripts included in the scoping review.
| Geographical region | State | City | N | Mean± SD | Weighted Mean± weighted SD | Ref | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| EUR | AFR | AME | EUR | AFR | AME | |||||
| Center-West | Distrito Federal | Brasilia | 780 | 65.0± 10.58 | 22.0± 7.55 | 13.0± 3.61 | 63.0± 10.26 | 23.9± 7.65 | 13.1± 3.13 | 1 - 3 |
| Taguatinga# | 189 | 63.0 | 25.0 | 12.0 | 63.0 | 25.0 | 12.0 | 4 | ||
| Total/Mean of the state | 969 | 64.5± 8.70 | 22.8± 6.34 | 12.7± 2.98 | 63.0± 8.67 | 24.1± 6.49 | 12.9± 2.70 | |||
| Mato Grosso do sul | NI# | 84 | 59.0 | 26.0 | 15.0 | 59.0 | 26.0 | 15.0 | 5 | |
| Total/mean of the state | 84 | 59.0 | 26.0 | 15.0 | 59.0 | 26.0 | 15.0 | |||
| Total/mean of the region | 1053 | 63.4± 7.92 | 23.4± 5.68 | 13.2± 2.78 | 62.7± 8.15 | 24.2± 6.06 | 13.1± 2.59 | |||
| North | Pará | Belém | 1044 | 54.5± 10.19 | 18.33± 7.00 | 27.17± 4.17 | 55.5± 10.43 | 17.60± 7.06 | 26.9± 4.44 | 6 - 11 |
| Santarém# | 90 | 60.0 | 11.0 | 29.0 | 60.0 | 11.0 | 29.0 | 13 | ||
| Goianésia do Pará# | 273 | 44.0 | 32.0 | 25.0 | 44.0 | 32.0 | 25.0 | 14 | ||
| NI# | 210 | 45 | 23 | 32 | 45 | 23 | 32 | 12 | ||
| Total/mean of the state | 1617 | 52.9± 9.53 | 19.6± 7.86 | 27.56± 3.90 | 52.4± 9.88 | 20.4± 8.24 | 27.2± 4.18 | |||
| Amapá | Macapá | 437 | 48.0± 2.82 | 24.0± 7.07 | 28.0± 9.89 | 47.2± 2.59 | 22.0± 6.46 | 30.8± 9.05 | 15-16 | |
| Total/mean of the state | 437 | 48± 2.82 | 24± 7.07 | 28± 9.89 | 47.2± 2.59 | 22.0± 6.46 | 30.8± 9.05 | |||
| Amazonas | Manaus | 294 | 58.5± 17.68 | 14.0± 2.82 | 27.5± 14.85 | 67.4± 12.37 | 12.6± 1.98 | 20.0± 10.39 | 5,17 | |
| Rio Pardo# | 340 | 44.0 | 18.0 | 38.0 | 44.0 | 18.0 | 38.0 | 18 | ||
| Total/mean of the state | 634 | 53.7± 15.04 | 15.3± 3.05 | 31.0± 12.12 | 54.9± 16.06 | 15.5± 3.51 | 29.6± 12.6 | |||
| Rondônia | Porto Velho | 404 | 57.0± 4.24 | 24.0± 8.48 | 19.0± 12.02 | 55.8± 3.89 | 21.6± 7.79 | 22.9± 11.04 | 19-20 | |
| Total/mean of the state | 404 | 57.0± 4.25 | 24.0± 8.49 | 19.0± 12.03 | 55.8± 3.89 | 21.6± 7.79 | 22.9± 11.04 | |||
| Total/mean of the region | 3092 | 52.9± 9.27 | 19.9± 7.14 | 27.3± 7.41 | 52.6± 9.72 | 19.8± 6.95 | 27.7± 7.22 | |||
| Northeast | Ceará | Barbalha# | 60 | 68.0 | 19.0 | 13.0 | 68.0 | 19.0 | 13.0 | 13 |
| Fortaleza | 1712 | 55.4± 7.13 | 19.9± 3.8 | 24.7± 5.55 | 54.0± 7.33 | 18.7± 3.81 | 27.1± 7.00 | 21-22 | ||
| Total/mean of the state | 1772 | 57.0± 7.96 | 19.8± 3.53 | 23.2± 6.60 | 54.5± 7.63 | 18.7± 3.71 | 26.7± 7.34 | |||
| Bahia | Salvador | 4859 | 52.6± 14.15 | 39.8± 11.19 | 7.5± 4.11 | 47.9± 12.42 | 43.8± 9.21 | 8.3± 4.80 | 21,23-28 | |
| Ilheus | 256 | 61± 0.00 | 31.5± 2.12 | 7.5± 2.12 | 61± 0.00 | 31.3± 2.10 | 7.7± 2.10 | 7,29 | ||
| Jequie# | 20 | 44.0 | 42.0 | 11.0 | 44.0 | 42.0 | 11.0 | 30 | ||
| Total/mean of the state | 5135 | 53.4± 12.69 | 38.6± 10.03 | 7.8± 3.66 | 48.5± 12.23 | 43.18± 9.25 | 8.29± 4.60 | |||
| Alagoas | Maceió | 120 | 67 | 19 | 14 | 67 | 19 | 14 | 5,13 | |
| NI# | 104 | 55 | 27 | 19 | 55 | 27 | 19 | |||
| Total/mean of the state | 224 | 61.0± 8.49 | 23.0± 5.66 | 16.5± 3.55 | 61.4± 8.46 | 22.7± 5.64 | 16.3± 3.52 | |||
| Maranhão | São Luis# | 177 | 42.0 | 19.0 | 39.0 | 42.0 | 19.0 | 39.0 | 31 | |
| Total/mean of the state | 177 | 42.0 | 19.0 | 39.0 | 42.0 | 19.0 | 39.0 | |||
| Piauí | NI# | 204 | 60.0 | 22.0 | 18.0 | 60.0 | 22.0 | 18.0 | 32 | |
| Total/mean of the state | 204 | 60.0 | 22.0 | 18.0 | 60.0 | 22.0 | 18.0 | |||
| Pernambuco | Recife# | 192 | 60.0 | 23.0 | 17.0 | 60.0 | 23.0 | 17.0 | 33 | |
| NI# | 133 | 57.0 | 28.0 | 15.0 | 57.0 | 28.0 | 15.0 | 5 | ||
| Total/mean of the state | 325 | 58.5± 2.12 | 25.5± 3.54 | 16± 1.41 | 58.8± 2.08 | 25.0± 3.47 | 16.2± 1.39 | |||
| Total/mean of the region | 7837 | 55.3± 10.16 | 28.8± 11.31 | 15.8± 9.45 | 50.8± 11.09 | 35.2± 13.56 | 13.9± 9.99 | |||
| South | Rio Grande do Sul | Porto Alegre | 7197 | 81.7± 3.51 | 9.3± 4.72 | 8.3± 1.15 | 84.7± 1.49 | 4.5± 2.27 | 8.9± 0.43 | 7,17,34 |
| Pelotas# | 3736 | 76.0 | 16.0 | 8.0 | 76.0 | 16.0 | 8.0 | 25 | ||
| NI# | 81 | 95 | 1 | 4 | 95 | 1 | 4 | 9 | ||
| NI# | 23 | 73 | 14 | 13 | 73 | 14 | 13 | 5 | ||
| Total/mean of the state | 11037 | 81.5± 7.86 | 9.8± 5.98 | 8.3± 2.94 | 81.8± 4.82 | 8.4± 6.23 | 8.6± 0.75 | |||
| Paraná | NI# | 21 | 71.0 | 17.0 | 12.0 | 71.0 | 17.0 | 12.0 | 5 | |
| Total/mean of the state | 21 | 71.0 | 17.0 | 12.0 | 71.0 | 17.0 | 12.0 | |||
| Santa Catarina | NI# | 20 | 80.0 | 11.0 | 9.0 | 80.0 | 11.0 | 9.0 | 5 | |
| Total/mean of the state | 20 | 80.0 | 11.0 | 9.0 | 80.0 | 11.0 | 9.0 | |||
| Total/mean of the region | 11078 | 80.0± 7.60 | 10.9± 5.64 | 8.9± 2.80 | 81.8± 4.72 | 8.4± 6.08 | 8.6± 0.74 | |||
| Southeast | Espirito Santo | NI# | 92 | 74 | 13 | 13 | 74 | 13 | 13 | 5 |
| Total/mean of the state | 92 | 74 | 13 | 13 | 74 | 13 | 13 | |||
| Minas Gerais | Belo Horizonte | 324 | 70.5± 7.77 | 24.5± 14.14 | 5.5± 6.36 | 68.0± 6.97 | 28.7± 12.03 | 3.5± 5.70 | 35-36 | |
| Alfenas | 758 | 88.0± 1.41 | 10.0± 0.70 | 2.0± 0.70 | 87.8± 1.38 | 10.2± 1.38 | 2.0± 0 | 23,37 | ||
| Manhuaçu# | 30 | 73 | 19 | 8 | 73 | 19 | 8 | 39 | ||
| Montes Claros# | 24 | 73 | 19 | 8 | 73 | 19 | 8 | 39 | ||
| Ouro Preto# | 189 | 52 | 38 | 10 | 52 | 38 | 10 | 40 | ||
| Bambui# | 1442 | 79 | 14 | 7 | 79 | 14 | 7 | 26 | ||
| NI# | 88 | 59 | 29 | 12 | 59 | 29 | 12 | 5 | ||
| NI# | 291 | 58 | 34 | 4 | 58 | 34 | 4 | 38 | ||
| Total/mean of the state | 3146 | 68.0± 13.83 | 24.7± 11.42 | 6.8± 4.92 | 75.4± 12.04 | 18.3± 9.82 | 5.8± 3.95 | |||
| São Paulo | Araraquara# | 403 | 76 | 18 | 12 | 76 | 18 | 12 | 41 | |
| São Paulo | 2346 | 67.0± 8.4 | 21.8± 8.9 | 9.2± 3.11 | 68.0± 8.71 | 22.5± 7.08 | 8.8± 3.46 | 37,42-45 | ||
| Botucatu | 983 | 73.5± 9.19 | 12.0± 5.65 | 9.0± 3.53 | 74.8± 8.99 | 11.2± 5.53 | 8.9± 3.46 | 46-47 | ||
| Campinas# | 109 | 73 | 20 | 7 | 73 | 20 | 7 | 17 | ||
| Ribeirão Preto# | 448 | 86 | 9 | 4 | 86 | 9 | 4 | 48 | ||
| NI# | 49 | 63 | 25 | 12 | 63 | 25 | 12 | 5 | ||
| Total/mean of the state | 4338 | 70.9± 8.79 | 18.6± 7.90 | 8.54± 3.11 | 72.5± 9.08 | 18.1± 7.84 | 8.1± 3.20 | |||
| Rio de Janeiro | Rio de Janeiro | 880 | 67.0± 9.05 | 23.3± 5.44 | 10± 3.56 | 63.9± 10.20 | 25.3± 6.39 | 10.9± 3.78 | 7,13,49,50 | |
| NI# | 335 | 65 | 28 | 7 | 65 | 28 | 7 | 51 | ||
| Total/mean of the state | 1215 | 66.6± 7.89 | 24.2± 5.17 | 9.4± 3.36 | 64.2± 8.42 | 26.0± 5.44 | 9.9± 3.69 | |||
| Total/mean of the region | 8791 | 69.1± 10.46 | 21.7± 9.21 | 8.2± 3.97 | 72.3± 10.39 | 19.2± 8.49 | 7.6± 3.73 | |||
| Total/mean of the country | 31851 | 62.4± 13.07 | 22.6± 10.37 | 14.7± 9.63 | 68.1± 15.68 | 19.6± 13.64 | 11.6± 8.20 | |||
NI- city not identified; #Included in only one study. References: 1. Lins et al. 2011a; 2. Gontijo et al. 2014, 3. Benedet et al. 2012; 4. Lins et al, 2011b; 5. Manta et al. 2013b; 6. Cardoso et al. 2014, 7. Pena et al. 2011; 8. Pereira et al. 2012; 9.Santos et al. 2010; 10.Carvalho et al. 2015; 11.Vieira et al. 2015; 12.Vieira-Machado et al. 2016; 13.Brito et al. 2011; 14.Cassiano et al. 2015; 15.Francez et al. 2011; 16.Francez et al. 2012; 17.Callegari-Jacques et al. 2003; 18. Kano et al. 2016; 19. Krauze de França, 2005; 20.Tarazona-Santos et al. 2011; 21.Silva et al. 2015; 22.Mychaleckyj et al. 2017; 23.Aquino et al. 2014; 24.do Rego Borges et al. 2015; 25.Kehdy et al. 2015; 26.Teló 2010; 27.Felix et al. 2010; 28.Machado 2008; 29.Oliveira et al. 2016; 30.Nascimento et al. 2016; 31.Ferreira et al. 2002; 32. Lopes et al. 2014; 33.Coelho et al. 2015; 34.Wagner et al. 2016; 35.Scliar et al. 2009; 36.Rolim et al. 2016; 37.Brito et al. 2012; 38.Silva et al. 2011; 39.Silva et al. 2010; 40.Queiroz et al. 2013; 41.Martins et al. 2011; 42.Nastri et al. 2016; 43.Bermardez-Pereira et al. 2016; 44.Cardena et al. 2013; 45.Guindalini 2010; 46.D'Éllia et al. 2017; 47.Ramos et al. 2016; 48.Souza et al. 2015; 49. Manta et al.2013a; 50. Santos et al. 2009; 51.Suarez-Kurts et al. 2007.