Literature DB >> 25293718

The correlation between ancestry and color in two cities of Northeast Brazil with contrasting ethnic compositions.

Thiago Magalhães da Silva1, M R Sandhya Rani2, Gustavo Nunes de Oliveira Costa1, Maria A Figueiredo1, Paulo S Melo3, João F Nascimento3, Neil D Molyneaux4, Maurício L Barreto1, Mitermayer G Reis5, M Glória Teixeira1, Ronald E Blanton2.   

Abstract

The degree of admixture in Brazil between historically isolated populations is complex and geographically variable. Studies differ as to what the genetic and phenotypic consequences of this mixing have been. In Northeastern Brazil, we enrolled 522 residents of Salvador and 620 of Fortaleza whose distributions of self-declared color were comparable to those in the national census. Using the program Structure and principal components analysis there was a clear correlation between biogeographic ancestry and categories of skin color. This correlation with African ancestry was stronger in Salvador (r=0.585; P<0.001) than in Fortaleza (r=0.236; P<0.001). In Fortaleza, although self-declared blacks had a greater proportion of European ancestry, they had more African ancestry than the other categories. When the populations were analyzed without pseudoancestors, as in some studies, the relationship of 'race' to genetic ancestry tended to diffuse or disappear. The inclusion of different African populations also influenced ancestry estimates. The percentage of unlinked ancestry informative markers in linkage disequilibrium, a measure of population structure, was 3-5 times higher in both Brazilian populations than expected by chance. We propose that certain methods, ascertainment bias and population history of the specific populations surveyed can result in failure to demonstrate a correlation between skin color and genetic ancestry. Population structure in Brazil has important implications for genetic studies, but genetic ancestry is irrelevant for how individuals are treated in society, their health, their income or their inclusion. These track more closely with perceived skin color than genetic ancestry.

Mesh:

Year:  2014        PMID: 25293718      PMCID: PMC4463503          DOI: 10.1038/ejhg.2014.215

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  32 in total

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Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

2.  Mexican American ancestry-informative markers: examination of population structure and marker characteristics in European Americans, Mexican Americans, Amerindians and Asians.

Authors:  Heather E Collins-Schramm; Bill Chima; Takanobu Morii; Kimberly Wah; Yolanda Figueroa; Lindsey A Criswell; Robert L Hanson; William C Knowler; Gabriel Silva; John W Belmont; Michael F Seldin
Journal:  Hum Genet       Date:  2003-11-20       Impact factor: 4.132

3.  Biogeographic ancestry, self-identified race, and admixture-phenotype associations in the Heart SCORE Study.

Authors:  Indrani Halder; Kevin E Kip; Suresh R Mulukutla; Aryan N Aiyer; Oscar C Marroquin; Gordon S Huggins; Steven E Reis
Journal:  Am J Epidemiol       Date:  2012-07-06       Impact factor: 4.897

4.  Genetic ancestry and income are associated with dengue hemorrhagic fever in a highly admixed population.

Authors:  Ronald E Blanton; Luciano K Silva; Vanessa G Morato; Antonio R Parrado; Juarez P Dias; Paulo R S Melo; Eliana A G Reis; Katrina A B Goddard; Márcio R T Nunes; Sueli G Rodrigues; Pedro F C Vasconcelos; Jesuina M Castro; Mitermayer G Reis; Maurício L Barreto; M Glória Teixeira
Journal:  Eur J Hum Genet       Date:  2008-02-13       Impact factor: 4.246

5.  Genetic composition of a Brazilian population: the footprint of the Gold Cycle.

Authors:  E M Queiroz; A M Santos; I M Castro; G L L Machado-Coelho; A P C Cândido; T M Leite; R W Pereira; R N Freitas
Journal:  Genet Mol Res       Date:  2013-10-29

6.  Racial admixture in north-eastern Brazil.

Authors:  H Krieger; N E Morton; M P Mi; E Azevêdo; A Freire-Maia; N Yasuda
Journal:  Ann Hum Genet       Date:  1965-11       Impact factor: 1.670

7.  Large-scale SNP analysis reveals clustered and continuous patterns of human genetic variation.

Authors:  Mark D Shriver; Rui Mei; Esteban J Parra; Vibhor Sonpar; Indrani Halder; Sarah A Tishkoff; Theodore G Schurr; Sergev I Zhadanov; Ludmila P Osipova; Tom D Brutsaert; Jonathan Friedlaender; Lynn B Jorde; W Scott Watkins; Michael J Bamshad; Gerardo Gutierrez; Halina Loi; Hajime Matsuzaki; Rick A Kittles; George Argyropoulos; Jose R Fernandez; Joshua M Akey; Keith W Jones
Journal:  Hum Genomics       Date:  2005-06       Impact factor: 4.639

8.  Genomic ancestry, self-reported "color" and quantitative measures of skin pigmentation in Brazilian admixed siblings.

Authors:  Tailce K M Leite; Rômulo M C Fonseca; Nanci M de França; Esteban J Parra; Rinaldo W Pereira
Journal:  PLoS One       Date:  2011-11-02       Impact factor: 3.240

9.  Ancestry-related assortative mating in Latino populations.

Authors:  Neil Risch; Shweta Choudhry; Marc Via; Analabha Basu; Ronnie Sebro; Celeste Eng; Kenneth Beckman; Shannon Thyne; Rocio Chapela; Jose R Rodriguez-Santana; William Rodriguez-Cintron; Pedro C Avila; Elad Ziv; Esteban Gonzalez Burchard
Journal:  Genome Biol       Date:  2009-11-20       Impact factor: 13.583

10.  SPSmart: adapting population based SNP genotype databases for fast and comprehensive web access.

Authors:  Jorge Amigo; Antonio Salas; Christopher Phillips; Angel Carracedo
Journal:  BMC Bioinformatics       Date:  2008-10-10       Impact factor: 3.169

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  12 in total

1.  On the use of Chinese population as a proxy of Amerindian ancestors in genetic admixture studies with Latin American populations.

Authors:  Ronald R de Moura; Valdir de Queiroz Balbino; Sergio Crovella; Lucas A C Brandão
Journal:  Eur J Hum Genet       Date:  2015-09-02       Impact factor: 4.246

2.  Skin deep: The decoupling of genetic admixture levels from phenotypes that differed between source populations.

Authors:  Jaehee Kim; Michael D Edge; Amy Goldberg; Noah A Rosenberg
Journal:  Am J Phys Anthropol       Date:  2021-03-27       Impact factor: 2.963

3.  Development and validation of a new formula for sex estimation based on multislice computed tomographic measurements of maxillary and frontal sinuses among Brazilian adults.

Authors:  Diego Santiago de Mendonça; Lúcio Mitsuo Kurita; Francisco Samuel Rodrigues Carvalho; Fabrício Mesquita Tuji; Paulo Goberlânio de Barros Silva; Tácio Pinheiro Bezerra; Andréa Silvia Walter de Aguiar; Fábio Wildson Gurgel Costa
Journal:  Dentomaxillofac Radiol       Date:  2021-03-18       Impact factor: 3.525

Review 4.  Self-reported race/ethnicity in the age of genomic research: its potential impact on understanding health disparities.

Authors:  Tesfaye B Mersha; Tilahun Abebe
Journal:  Hum Genomics       Date:  2015-01-07       Impact factor: 4.639

5.  Genome-Wide Analysis in Brazilians Reveals Highly Differentiated Native American Genome Regions.

Authors:  Josyf C Mychaleckyj; Alexandre Havt; Uma Nayak; Relana Pinkerton; Emily Farber; Patrick Concannon; Aldo A Lima; Richard L Guerrant
Journal:  Mol Biol Evol       Date:  2017-03-01       Impact factor: 16.240

6.  Origin and age of the causative mutations in KLC2, IMPA1, MED25 and WNT7A unravelled through Brazilian admixed populations.

Authors:  Allysson Allan de Farias; Kelly Nunes; Renan Barbosa Lemes; Ronald Moura; Gustavo Ribeiro Fernandes; Uirá Souto Melo; Mayana Zatz; Fernando Kok; Silvana Santos
Journal:  Sci Rep       Date:  2018-11-08       Impact factor: 4.379

7.  Context-dependence of race self-classification: Results from a highly mixed and unequal middle-income country.

Authors:  Dóra Chor; Alexandre Pereira; Antonio G Pacheco; Ricardo V Santos; Maria J M Fonseca; Maria I Schmidt; Bruce B Duncan; Sandhi M Barreto; Estela M L Aquino; José G Mill; Maria delCB Molina; Luana Giatti; Maria daCC Almeida; Isabela Bensenor; Paulo A Lotufo
Journal:  PLoS One       Date:  2019-05-16       Impact factor: 3.240

8.  A systematic scoping review of the genetic ancestry of the Brazilian population.

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9.  Genomic ancestry and ethnoracial self-classification based on 5,871 community-dwelling Brazilians (The Epigen Initiative).

Authors:  M Fernanda Lima-Costa; Laura C Rodrigues; Maurício L Barreto; Mateus Gouveia; Bernardo L Horta; Juliana Mambrini; Fernanda S G Kehdy; Alexandre Pereira; Fernanda Rodrigues-Soares; Cesar G Victora; Eduardo Tarazona-Santos
Journal:  Sci Rep       Date:  2015-04-27       Impact factor: 4.379

Review 10.  Epidemiology and treatment of psoriasis: a Brazilian perspective.

Authors:  Gleison V Duarte; Larissa Porto-Silva; Maria de Fátima Paim de Oliveira
Journal:  Psoriasis (Auckl)       Date:  2015-04-17
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