Literature DB >> 26395555

A minimum set of ancestry informative markers for determining admixture proportions in a mixed American population: the Brazilian set.

Hadassa C Santos1, Andréa V R Horimoto1, Eduardo Tarazona-Santos2, Fernanda Rodrigues-Soares2, Mauricio L Barreto3, Bernardo L Horta4, Maria F Lima-Costa5, Mateus H Gouveia2, Moara Machado2, Thiago M Silva3, José M Sanches1, Nubia Esteban1, Wagner C S Magalhaes2, Maíra R Rodrigues2, Fernanda S G Kehdy2, Alexandre C Pereira1.   

Abstract

The Brazilian population is considered to be highly admixed. The main contributing ancestral populations were European and African, with Amerindians contributing to a lesser extent. The aims of this study were to provide a resource for determining and quantifying individual continental ancestry using the smallest number of SNPs possible, thus allowing for a cost- and time-efficient strategy for genomic ancestry determination. We identified and validated a minimum set of 192 ancestry informative markers (AIMs) for the genetic ancestry determination of Brazilian populations. These markers were selected on the basis of their distribution throughout the human genome, and their capacity of being genotyped on widely available commercial platforms. We analyzed genotyping data from 6487 individuals belonging to three Brazilian cohorts. Estimates of individual admixture using this 192 AIM panels were highly correlated with estimates using ~370 000 genome-wide SNPs: 91%, 92%, and 74% of, respectively, African, European, and Native American ancestry components. Besides that, 192 AIMs are well distributed among populations from these ancestral continents, allowing greater freedom in future studies with this panel regarding the choice of reference populations. We also observed that genetic ancestry inferred by AIMs provides similar association results to the one obtained using ancestry inferred by genomic data (370 K SNPs) in a simple regression model with rs1426654, related to skin pigmentation, genotypes as dependent variable. In conclusion, these markers can be used to identify and accurately quantify ancestry of Latin Americans or US Hispanics/Latino individuals, in particular in the context of fine-mapping strategies that require the quantification of continental ancestry in thousands of individuals.

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Year:  2015        PMID: 26395555      PMCID: PMC4930091          DOI: 10.1038/ejhg.2015.187

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


  28 in total

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Review 2.  Genome-wide association studies: implications for multiethnic samples.

Authors:  Richard S Cooper; Bamidele Tayo; Xiaofeng Zhu
Journal:  Hum Mol Genet       Date:  2008-10-15       Impact factor: 6.150

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Authors:  Rebecca L Lamason; Manzoor-Ali P K Mohideen; Jason R Mest; Andrew C Wong; Heather L Norton; Michele C Aros; Michael J Jurynec; Xianyun Mao; Vanessa R Humphreville; Jasper E Humbert; Soniya Sinha; Jessica L Moore; Pudur Jagadeeswaran; Wei Zhao; Gang Ning; Izabela Makalowska; Paul M McKeigue; David O'donnell; Rick Kittles; Esteban J Parra; Nancy J Mangini; David J Grunwald; Mark D Shriver; Victor A Canfield; Keith C Cheng
Journal:  Science       Date:  2005-12-16       Impact factor: 47.728

4.  Ancestry informative marker sets for determining continental origin and admixture proportions in common populations in America.

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Review 6.  Genetics in geographically structured populations: defining, estimating and interpreting F(ST).

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9.  Genome-wide analysis in Brazilian Xavante Indians reveals low degree of admixture.

Authors:  Patricia C Kuhn; Andréa R V Russo Horimoto; José Maurício Sanches; João Paulo B Vieira Filho; Luciana Franco; Amaury Dal Fabbro; Laercio Joel Franco; Alexandre C Pereira; Regina S Moises
Journal:  PLoS One       Date:  2012-08-10       Impact factor: 3.240

10.  Genetic architecture of skin and eye color in an African-European admixed population.

Authors:  Sandra Beleza; Nicholas A Johnson; Sophie I Candille; Devin M Absher; Marc A Coram; Jailson Lopes; Joana Campos; Isabel Inês Araújo; Tovi M Anderson; Bjarni J Vilhjálmsson; Magnus Nordborg; António Correia E Silva; Mark D Shriver; Jorge Rocha; Gregory S Barsh; Hua Tang
Journal:  PLoS Genet       Date:  2013-03-21       Impact factor: 5.917

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  17 in total

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4.  Increasing The Genetic Admixture of Available Lines of Human Pluripotent Stem Cells.

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5.  Analysis of the cervical microbiome and potential biomarkers from postpartum HIV-positive women displaying cervical intraepithelial lesions.

Authors:  Gislaine Curty; Raquel L Costa; Juliana D Siqueira; Angela I Meyrelles; Elizabeth S Machado; Esmeralda A Soares; Marcelo A Soares
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6.  Growth hormone insensitivity with immune dysfunction caused by a STAT5B mutation in the south of Brazil: evidence for a founder effect.

Authors:  Renata C Scalco; Fernanda T Gonçalves; Hadassa C Santos; Mari M S G Cardena; Carlos A Tonelli; Mariana F A Funari; Rosana M Aracava; Alexandre C Pereira; Cintia Fridman; Alexander A L Jorge
Journal:  Genet Mol Biol       Date:  2017-06-05       Impact factor: 1.771

7.  Prevalence of BRCA1/BRCA2 mutations in a Brazilian population sample at-risk for hereditary breast cancer and characterization of its genetic ancestry.

Authors:  Gabriela C Fernandes; Rodrigo A D Michelli; Henrique C R Galvão; André E Paula; Rui Pereira; Carlos E Andrade; Paula S Felicio; Cristiano P Souza; Deise R P Mendes; Sahlua Volc; Gustavo N Berardinelli; Rebeca S Grasel; Cristina S Sabato; Danilo V Viana; Edmundo C Mauad; Cristovam Scapulatempo-Neto; Banu Arun; Rui M Reis; Edenir I Palmero
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8.  A new panel of SNPs to assess thyroid carcinoma risk: a pilot study in a Brazilian admixture population.

Authors:  Isabelle C C Dos Santos; Julieta Genre; Diego Marques; Ananília M G da Silva; Jéssica C Dos Santos; Jéssica N G de Araújo; Victor H R Duarte; Angel Carracedo; Maria Torres-Español; Gisele Bastos; Carlos C de Oliveira Ramos; André D Luchessi; Vivian N Silbiger
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10.  An Ancestry Informative Marker Set Which Recapitulates the Known Fine Structure of Populations in South Asia.

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