The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
Admixture in Latin America: Geographic Structure, Phenotypic Diversity and Self-Perception of Ancestry Based on 7,342 Individuals
Open accessAbstract
The current genetic makeup of Latin America has been shaped by a history of extensive admixture between Africans, Europeans and Native Americans, a process taking place within the context of extensive geographic and social stratification. We estimated individual ancestry proportions in a sample of 7,342 subjects ascertained in five countries (Brazil, Chile, Colombia, México and Perú). These individuals were also characterized for a range of physical appearance traits and for self-perception of ancestry. The geographic distribution of admixture proportions in this sample reveals extensive population structure, illustrating the continuing impact of demographic history on the genetic diversity of Latin America. Significant ancestry effects were detected for most phenotypes studied. However, ancestry generally explains only a modest proportion of total phenotypic variation. Genetically estimated and self-perceived ancestry correlate significantly, but certain physical attributes have a strong impact on self-perception and bias self-perception of ancestry relative to genetically estimated ancestry.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source doesn’t support the claim as written.
In the citing paper
“They assessed genetic ancestry with 15,000 SNPs, making their index highly-reliable [56].”
From Global Ancestry and Cognitive Ability (2019) · cites this paper as [56]
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
Fast model-based estimation of ancestry in unrelated individuals
Alexander, D. H., Novembre, J., & Lange, K. (2009) · Genome Research · doi:10.1101/gr.094052.109 · Cited by 9,898 · cited 2×
“Individual African, European and Native American ancestry proportions were estimated using the ADMIXTURE program [17] using supervised runs where African, European and Native American reference groups (K = 3) were provided (see below).”
MethodCommon SNPs explain a large proportion of the heritability for human height
Yang, J., Benyamin, B., McEvoy, B. P., Gordon, S., Henders, A. K., Nyholt, D. R., Madden, P. A., Heath, A. C., Martin, N. G., Montgomery, G. W., et al. (2010) · Nature Genetics · doi:10.1038/ng.608 · Cited by 4,446 · cited 1×
“Recent genome-wide association analyses in Europeans have implicated loci for variation in height and related anthropometric traits [43,44].”
BackgroundThe History and Geography of Human Genes
Cavalli-Sforza, L. L., Menozzi, P., & Piazza, A. (2018) · Princeton University Press eBooks · doi:10.2307/j.ctv301gjp · Cited by 3,175
Hundreds of variants clustered in genomic loci and biological pathways affect human height
Lango Allen, H., Estrada, K., Lettre, G., Berndt, S. I., Weedon, M. N., Rivadeneira, F., Willer, C. J., Jackson, A. U., Vedantam, S., Raychaudhuri, S., et al. (2010) · Nature · doi:10.1038/nature09410 · Cited by 1,945
Worldwide Human Relationships Inferred from Genome-Wide Patterns of Variation
Li, J. Z., Absher, D. M., Tang, H., Southwick, A. M., Casto, A. M., Ramachandran, S., Cann, H. M., Barsh, G. S., Feldman, M. W., Cavalli-Sforza, L. L., et al. (2008) · Science · doi:10.1126/science.1153717 · Cited by 1,915
Color and genomic ancestry in Brazilians
Parra, F. C., Amado, R. C., Lambertucci, J., Rocha, J., Antunes, C., & Pena, S. D. (2002) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.0126614100 · Cited by 939 · cited 1×
“Few studies have examined the impact of genetic ancestry on physical appearance or the relationship of these to individual notions of ethnicity and ancestry [15,16].”
BackgroundRace and Ethnicity in Latin America
Wade, P. (2010) · Pluto Press eBooks · doi:10.2307/j.ctt183p73f · Cited by 822
Informativeness of Genetic Markers for Inference of Ancestry*
Rosenberg, N. A., Li, L. M., Ward, R. H., & Pritchard, J. K. (2003) · The American Journal of Human Genetics · doi:10.1086/380416 · Cited by 710 · cited 2×
“…of 5,000 markers, highly informative for world-wide continental ancestry estimation, identified by Paschou et al (2010) [18] using the approach of Rosenberg et al. (2003) [55] based on the worldwide CEPH-HGDP cell panel genotyped with Illumina’s Human610-Quad beadchip (including data for about…”
MethodReconstructing Native American population history
Reich, D., Patterson, N., Campbell, D., Tandon, A., Mazieres, S., Ray, N., Parra, M. V., Rojas, W., Duque, C., Mesa, N., et al. (2012) · Nature · doi:10.1038/nature11258 · Cited by 696 · cited 5×
“Of the final set of 30 markers retained, 13 are monomorphic in 408 Native Americans (from 47 populations from México Southwards [57]), the rest have minor allele frequencies ranging from 0.01 to 0.15 (median 0.06) in that group of populations.”
BackgroundMethodInfluentialSelf-citation
Flagged first, then by citations
Cited by
Sorted by citations
Items 301–400 of 442
Suarez‐Kurtz, G. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1246765 · Cited by 3
Forensic DNA phenotyping in the next-generation sequencing era
Carratto, T. M. T., de Oliveira, M. L. G., & Mendes‐Junior, C. T. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-99144-5.00033-0 · Cited by 3
Sex assessment from contemporary Mexican postcranial long bones
Garmendia, A. M., Sánchez‐Mejorada, G., & Gómez‐Valdés, J. (2025) · International Journal of Legal Medicine · doi:10.1007/s00414-025-03541-y · Cited by 3
“Further, the fact that Mexican populations show heterogenic genetic ancestry, must be considered [52].”
Self-citationAncestry and Genetic Admixture of the Colombian Population: A Systematic Review and Meta‐Analysis
Rodríguez-Rey, G. T., Orjuela-Rodríguez, M., & Galeano‐Vanegas, N. F. (2025) · American Journal of Biological Anthropology · doi:10.1002/ajpa.70124 · Cited by 3
de Mesquita, T. G. R., Santo, J. D. E., de Souza, J. L., da Silva, L. S., do Nascimento, T. A., de Souza, M. L. G., Guerra, M. V. D. F., & Ramasawmy, R. (2023) · PLoS ONE · doi:10.1371/journal.pone.0281814 · Cited by 4
Sequera, H. D. G., de Souza, J. L., Santo, J. D. E., da Silva, L. S., Pinheiro, S. K., Kerr, H. K. A., de Souza, M. L. G., Guerra, M. V. D. F., de Mesquita, T. G. R., & Ramasawmy, R. (2023) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0011416 · Cited by 3
Genomic African and Native American Ancestry and 15‐Year Cognitive Trajectory: Bambui Study, Brazil
Lima‐Costa, M. F., Gouveia, M. H., César, C. C., Tarazona‐Santos, E., Stewart, R. J., Ferri, C. P., & Costa, E. (2018) · Journal of the American Geriatrics Society · doi:10.1111/jgs.15504 · Cited by 3
“To our knowledge, no population-based longitudinal studies have examined the association between genomic ancestry and cognitive decline in Latin America, one of the most ethno-racially heterogeneous regions of the world.(10,12,13) Brazil, the world’s fifth most populous nation, is the largest Latin American country.”
BackgroundRojas-Suárez, J. A., Carvajal, J. A., Echavarría, M. P., Ramos, I. J. A., Zambrano, M., Hincapié, M. A., Peña, E. E., Libreros‐Peña, L., & Escobar, M. F. (2023) · International Journal of Gynecology & Obstetrics · doi:10.1002/ijgo.15195 · Cited by 3
Pérez-Jeldres, T., Magne, F., Ascui, G., Alvares, D., Orellana, M., Álvarez-Lobos, M., Hernández-Rocha, C., Azócar, L., Aguilar, N., Espino, A., et al. (2023) · Frontiers in Medicine · doi:10.3389/fmed.2023.1258395 · Cited by 5
Genetic landscape of forensic DNA phenotyping markers among Mediterranean populations
Becher, D., Jmel, H., Kheriji, N., Sarno, S., & Kéfi, R. (2023) · Forensic Science International · doi:10.1016/j.forsciint.2023.111906 · Cited by 3
Rosenthal, E. A., Hsu, L.-I., Thomas, M., Peters, U., Kachulis, C., Patterson, K., & Jarvik, G. P. (2024) · Genetic Epidemiology · doi:10.1002/gepi.22590 · Cited by 4
“However, genetic ancestry is continuous due to admixture, and cannot be adequately determined by observable phenotypes in the clinic, such as skin color, hair type, or eye shape (Parra, Kittles, and Shriver 2004; Ruiz ‐ Linares et al. 2014).”
Camilo, D. F., Vasques, A. C. J., Hayashi, K., Tura, A., da Silva, C. D. C., Zambon, M. P., Antonio, M. Â. R. D. G. M., & Geloneze, B. (2018) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.12.013 · Cited by 3
Controlling my genome with my smartphone: first clinical experiences of the PROMISE system
Amr, A., Hinderer, M., Griebel, L., Deuber, D., Egger, C., Sedaghat‐Hamedani, F., Kayvanpour, E., Hühn, D., Haas, J., Frese, K., et al. (2021) · Clinical Research in Cardiology · doi:10.1007/s00392-021-01942-8 · Cited by 3
Implementing Genomics in the Care of Neuropsychiatric Patients in Latin America
Forero, D. A., Urriago, H., López‐León, S., González‐Giraldo, Y., de Miranda, D. M., & Jovel, C. A. E. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-811531-2.00005-9 · Cited by 3
Elias, A. B. R., de Araújo, G. S., SOUZA, S. J. D., & Suarez‐Kurtz, G. (2020) · Pharmacogenetics and Genomics · doi:10.1097/fpc.0000000000000398 · Cited by 3
Modeling population structure under hierarchical Dirichlet processesPreprint
Iorio, M. D., Elliott, L. T., Favaro, S., Adhikari, K., & Teh, Y. W. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1503.08278 · Cited by 3
“Latin American samples are uniquely advantageous for this purpose [50] because of their well-documented history of extensive mixing between Native Americans and people arriving from Europe and Africa.”
BackgroundSelf-citationMariño‐Ramírez, L., Sharma, S., Hamilton, J. M., Nguyen, T. L., Gupta, S., Natarajan, A. V., Nagar, S. D., Menuey, J. L., Chen, W., Sánchez, A., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.28.651081 · Cited by 3
Cárdenas, W. A., Conley, A. B., Nagar, S. D., Núñez-Ríos, D. L., Jordan, I. K., & Lattig, M. C. (2024) · PLoS ONE · doi:10.1371/journal.pone.0313777 · Cited by 3
Farrera, A., Ríos, M. S. M., Velasco, M. G., & Campos-Rodríguez, J. A. (2025) · Science & Justice · doi:10.1016/j.scijus.2025.101260 · Cited by 2
Jaime, M., Toro, L., Varela-Villarroel, C., Montano-Bruno, D., Pesce, B., Schneider, D. I., Soto, L., Bozán, F., Neira, O. J., Cuéllar‐Gutiérrez, M. C., et al. (2025) · Biological Research · doi:10.1186/s40659-025-00663-w · Cited by 2
“More recently, two studies of continental ancestry, one using 30 ancestry-informative SNPs [38] and another employing GeneChip Arrays [39], have reported that the current Chilean population has about 43% Amerindian, 55% European, and 2% African ancestry on average [38].”
Pharmacogenomics and genetic ancestry: an opportunity to transform clinical practice in Colombia
Acosta-Monterrosa, A. A., Montoya-Quintero, K. F., Barceló-Martinez, E., & Galván-Barrios, J. P. (2026) · Frontiers in Pharmacology · doi:10.3389/fphar.2026.1774562 · Cited by 2
Genetic Ancestry and Population Structure Across Ecuador
González‐Andrade, F. (2026) · Genes · doi:10.3390/genes17040437 · Cited by 3
“Geographic analyses of Latin American Mestizo populations further demonstrate that ancestry proportions vary substantially across space and reflect local demographic history rather than uniform national profiles [3].”
Muniz, A. A., da Silva, A. R., Ferraz, I. A., Martins, M. L., Godin, M. M., Schmidt, L. C., Dusse, L. M. S., & Malta, M. C. F. D. S. (2019) · Transfusion Medicine · doi:10.1111/tme.12653 · Cited by 2
“overestimation of European ancestry, whereas hair type is strongly associated with an overestimation of African ancestry.(43) On the other hand, methodological factors, such as the sample size and the ancestry estimation strategy, used in different studies, may also influence the results.”
BackgroundResultCambios en la presión arterial de acuerdo con la estatura en adultos mexicanos
Pérez-Sastre, M. A., & Ortiz-Hernández, L. (2021) · Revista de Saúde Pública · doi:10.11606/s1518-8787.20210550032531 · Cited by 2
Bustos, M. A., Castañeda-Castañeda, L. D., Acosta, C. R., García, D., Bohada, D. P., Rodríguez, R., & Guerrero, M. I. (2023) · PLoS ONE · doi:10.1371/journal.pone.0281553 · Cited by 2
“Colombia is characterized by the great genetic diversity of its population, owing to the extent of past immigration [29, 30].”
García-Silva, J., Silva-Ramírez, B., Villarreal-Treviño, A. V., Mata-Tijerina, V., Rubio‐Pérez, N., & Rodríguez, F. G. (2024) · Clinical Rheumatology · doi:10.1007/s10067-024-07221-x · Cited by 2
Ceballos, F. C., Boekstegers, F., Scherer, D., Ponce, C. B., Marcelain, K., Gárate‐Calderón, V., Waldenberger, M., Morales, E., Rojas, A., Munoz, C., et al. (2024) · Cancers · doi:10.3390/cancers16244195 · Cited by 2
Self-citationGenetic ancestry influences body shape and obesity risk in Latin American populations
Trujillo‐Jiménez, M. A., Perez, L., Paschetta, C., Ramallo, V., Ruderman, A., Useglio, M., Margalef, P. T., Morales, L., Freire-Gómez, C., Navarro, P., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-21071-w · Cited by 2
“All the databases contain the anthropometric indices on which our analyses are based: Body Mass Index (BMI), Waist-Hip Ratio (WHR), and Waist-to-Height Ratio (WHtR) 35,40–44 .”
Self-citationGenetic ancestry proportion influences risk of adverse events from tuberculosis treatment in Brazil
Piekos, J. A., Amorim, G., Ridolfi, F. M., Cordeiro‐Santos, M., Kritski, A. L., Figueiredo, M. C., Andrade, B. C. O. P., Santos, A. R., Haas, D. W., Sterling, T. R., et al. (2026) · Human Genetics · doi:10.1007/s00439-025-02809-y · Cited by 2
“2B represents an odds ratio of 1 in urban areas to have higher proportions of European and African genetic ancestry, and individuals living more inland have a higher proportion of Amerindian genetic ancestry (Ruiz-Linares et al. 2014; Gontijo et al. 2014; Homburger et al. 2015 ).”
Villanueva-Pájaro, D. J., Calderón, D. L. C., Rosero, M. C. O., Suárez, N. A. R., & Arteaga, J. C. Z. (2023) · Revista de Nutrición Clínica y Metabolismo · doi:10.35454/rncm.v6n1.449 · Cited by 2
Pharmacogenomics in Latin American Populations
Botton, M. R., Campos, K. C., Duconge-Soler, J., & Scott, S. A. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-812626-4.00012-7 · Cited by 2
Origen étnico y ancestría genética, ¿qué lugar tienen en la práctica médica en Argentina?
Ruderman, A., Paschetta, C., González‐José, R., & Ramallo, V. (2020) · Revista Argentina de Antropología Biológica · doi:10.24215/18536387e020 · Cited by 2
Self-citationAbel, S. (2020) · ODEERE · doi:10.22481/odeere.v5i10.7181 · Cited by 2
Neitzke‐Montinelli, V., Gomes, P. D. S. F. C., Pascutti, P. G., Moura-Neto, R. S., & Silva, R. (2022) · PLoS ONE · doi:10.1371/journal.pone.0267286 · Cited by 3
“Based on this AIMs approach, a previous study evaluated several aspects of physical traits in admixed populations from Latin American [23].”
ResultInfluentialHLA molecular study of patients in a public kidney transplant program in Guatemala
Escobar-Castro, K., Hernández-Zaragoza, D. I., Santizo, A., del Toro‐Arreola, S., Hernández, E., & Manuel Toledo, S. (2022) · Human Immunology · doi:10.1016/j.humimm.2022.08.003 · Cited by 2
Distribution of Pharmacogene Allele and Phenotype Frequencies in Brazilian Psychiatric Patients
May, G., de Souza, B. R., Gueuvoghlanian‐Silva, B. Y., Camilo, E., Mostardeiro, S. R., May, P. P. B., Mateo, E. C. C., Vietta, G. G., & Hoss, G. R. W. (2023) · Pharmacogenomics · doi:10.2217/pgs-2023-0075 · Cited by 2
Menie, M. A. W. O., Peñaherrera‐Aguirre, M., Sarraf, M. A., Minnigh, T. L., & Coyle, T. R. (2024) · Evolutionary Psychological Science · doi:10.1007/s40806-024-00411-5 · Cited by 2
Effect of Protected Areas on Human Populations in the Context of Colombian Armed Conflict, 2005–2018
Rodríguez-Díaz, R., Colino-Rabanal, V. J., Gutiérrez‐López, A., & Blanco-Villegas, M. J. (2020) · Sustainability · doi:10.3390/su13010146 · Cited by 2
Disentangling signatures of selection before and after European colonization in Latin AmericansPreprint
Mendoza‐Revilla, J., Chacón-Duque, J. C., Fuentes‐Guajardo, M., Ormond, L., Wang, K., Hurtado, M., Villegas, V., Granja, V., Acuña-Alonzo, V., Jaramillo, C., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.11.15.467418 · Cited by 2
Self-citationCullina, S., Shemirani, R., Asgari, S., & Kenny, E. E. (2024) · medRxiv · doi:10.1101/2024.11.18.24317494 · Cited by 2
Tumor filoide en una mujer indígena colombiana
Melo-Uribe, M. A., Cajiao, G., Valenzuela, N., Cajiao, V., & Parra-Medina, R. S. (2016) · Revista Repertorio de Medicina y Cirugía · doi:10.1016/j.reper.2016.06.001 · Cited by 1
Álvarez, L., Contreras-Ortiz, J. O., & Giraldo, M. (2020) · Journal of Nutrition and Metabolism · doi:10.1155/2020/3419598 · Cited by 1
“*ese changes can be genetically transmitted, generating populations with a response to genetically conditioned cocoa that may differ even in geographically close places such as different cities in the same country [15, 16].”
BackgroundLevi-Monsalve, A., & Flores-Carrasco, S. V. (2024) · Cytology and Genetics · doi:10.3103/s0095452724030083 · Cited by 2
“The individual genetic ancestry proportion pattern here observed agrees with the admixture pattern currently accepted by diverse sources of evidence (Adhikari et al. , 2016; Wang et al. , 2008; Ruiz-Linares et al. , 2014; Salzano and Sans, 2014).”
Exploring the Impact of Mitonuclear Discordance on Disease in Latin American Admixed Populations
Ruiz, M., Böhme, D., Repetto, G. M., & Rebolledo‐Jaramillo, B. (2025) · Genes · doi:10.3390/genes16060638 · Cited by 1
“Following the Columbus exchange, African, European, and Native American ancestries began to mix [23,24], producing novel mitonuclear combinations now common in Latin Americans [25]—yet their health implications remain understudied.”
Guerra, M. V. D. F., de Souza, J. L., da Silva, L. S., Santo, J. D. E., de Mesquita, T. G. R., Queiroz, K. L. G. D., Silva, G., Ogusku, M. M., de Souza, M. L. G., Neto, J. P. D. M., et al. (2025) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0013318 · Cited by 1
“Our study population consists of approximately 50% to 60% of Native American, 40% to 50% European and around 10% African ancestry [27].”
Echavarría, S., Obispo, D., Espetia, S., Guevara, M. L., Acosta, Ó., Alegría, M. D., Mamani, E., Fujita, R., & Yabar, C. A. (2025) · Human Genome Variation · doi:10.1038/s41439-025-00321-3 · Cited by 1
“In the case of CCR5 - Δ 32 , our fi ndings reveal that the prevalence of this mutation was low, which could be related to the low degree of admixture detected between the current Peruvian population and the European population, primarily Spanish 10 .”
Graciano, N., López, L., Rodríguez, C. A., Montoya, K., & Cortés, J. (2025) · Breast Cancer Research and Treatment · doi:10.1007/s10549-025-07814-3 · Cited by 1
“…cohort of non-metastatic TNBC patients with non-PCR in Colombia, a Latin American country characterized by the admixture of European, native American and African populations (in average 60%, 29% and 11%, respectively) [12], adjusting for potential confounders using propensity score methods.”
Expert Panel Guidelines for Hybrid CaHA ‐ CMC / CPM ‐ HA Fillers in the Mexican Population
García, V. D. L. F., Zavaleta, S. S., Arenas, M. G. L., Ávila, J. R., Baca, S. I. M., García, J. T., Balbas, A. G., Vilchez, H. R. E., Vázquez, J. R., Lozano, R., et al. (2025) · Journal of Cosmetic Dermatology · doi:10.1111/jocd.70548 · Cited by 1
Rojas-Costa, G. M., Silva-Pinto, V., Valenzuela-Sánchez, Y., de la Iglesia-Vayá, M., Molina‐Mateo, J., Salazar‐García, D. C., Valdes-Sosa, P. A., & Gálvez, M. (2025) · Scientific Reports · doi:10.1038/s41598-025-25186-y · Cited by 1
Joerin-Luque, I. A., Blaczyk, I. B., dos Santos, P. I., Alves, A. C. G., Sukow, N. M., de Oliveira, A. C. M., de Cristo, T. F., Bispo, A. R. D. A., Gros, A. F., Saatkamp, M. L. S., et al. (2025) · Genes · doi:10.3390/genes16121510 · Cited by 1
“Previous studies have evaluated the association of self-perceived ethno-racial categories with autosomal and uniparental ancestries in urban populations [81–83].”
Valencia, J. G., Hernández‐Vásquez, A., & Barengo, N. C. (2025) · Medical Education & Clinical Practice · doi:10.21142/mecp.2026.1.1.e002 · Cited by 1
“…shortcomings, Woolcott et al. proposed the Relative Fat Mass (RFM) index in 2018, a simple sex-specific equation based on waist circumference and height that provides an estimate of body fat percentage and demonstrated better agreement with dual-energy X-ray absorptiometry (DXA) than BMI [8] .”
InfluentialGazcón-Rivas, C. P., Roa-Bruzón, I. Y., Almira, L. F. D., Valdez-Gaxiola, C. A., Dumois‐Petersen, S., Eduardo Figuera, L., Ramos, A. Q., Gurrola‐Díaz, C. M., Ortuño‐Sahagún, D., Valle, Y., et al. (2026) · Medical Sciences · doi:10.3390/medsci14020228 · Cited by 1
“While some variants differed from those in European, African, or Asian populations, frequencies were generally comparable to those reported for other Latin American groups, consistent with the well-documented admixture patterns in the region [18,19].”
Screening for Hereditary Cancer in Latin America
Álvarez, K., Álvarez, C., Dominguez–Valentin, M., & Carvallo, P. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-811531-2.00003-5 · Cited by 1
Colonialism, ethnogenesis, and biogeographic ancestry in the US Southwest
Hunley, K., Moes, E., Edgar, H. J. H., Healy, M. E., Mosley, C., & Dixon, A. (2021) · American Journal of Physical Anthropology · doi:10.1002/ajpa.24380 · Cited by 1
Reference Curves of Growth from Colombian National Surveys and Anthropometric Secular Trends
Gracia, J. R., Granda, E. A. M., & Pineda, A. F. G. (2023) · Springer eBooks · doi:10.1007/978-3-031-27848-8_6 · Cited by 1
Differences in Body Weight According to Skin Color and Sex in Mexican Adults
Ortiz-Hernández, L., & Miranda-Quezada, I. P. (2023) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-023-01829-6 · Cited by 1
“Furthermore, in Mexico, skin color is a poor indicator of continental ancestry assessed with genetic markers [37].”
Executive function and decision-making in Colombian patients with paranoid schizophrenia
Acosta-López, J. E., Cervantes-Henríquez, M. L., Téllez-Bustillo, S., Ahmad, M., Sánchez-Rojas, M., Paredes-Manrique, C., & Zegarra-Valdivia, J. A. (2024) · F1000Research · doi:10.12688/f1000research.143978.1 · Cited by 1
“55 This work is of particular interest because Colombia is an ethnically diverse country presenting the highest levels in Latin America 56,57 of mixtures by three groups (Indigenous/Amerindians, Spaniards, and Africans).”
García‐Vilchis, B., Román-López, T. V., Ramírez-González, D., López-Camaño, X. J., Murillo-Lechuga, V., Díaz-Téllez, X., Sánchez-Moncada, C. I., Espinosa-Méndez, I. M., Zenteno, D., Espinosa-Valdés, Z., et al. (2024) · Twin Research and Human Genetics · doi:10.1017/thg.2024.18 · Cited by 1
“…estimated to range from 56% to 90% for indigenous ancestry, from 10% to 38% for European ancestry, and around 5% and 2% for African and Asian ancestry respectively (Bodner et al., 2021; De Oliveira et al., 2023; Juárez-Cedillo et al., 2008; Martinez-Fierro et al., 2009; Ruiz-Linares et al., 2014).”
BackgroundCesani, M. F., de Espinosa, M. G. M., & Serrano, M. D. M. (2024) · American Journal of Human Biology · doi:10.1002/ajhb.24183 · Cited by 1
Boland, M. R. (2024) · Springer eBooks · doi:10.1007/978-3-031-74383-2_6 · Cited by 1
3 Eventualizing Human Diversity Dynamics: Admixture Modeling through Time and Space
Barragán, C. A., Yair, S., & Griesemer, J. R. (2025) · University of California Press eBooks · doi:10.1525/luminos.218.d · Cited by 1
Indefensible Spaces: Policing and the Struggle for Housing
Kurwa, R. (2025) · University of California Press eBooks · doi:10.1525/luminos.235 · Cited by 1
Research and data sovereignty in genetically admixed populations
Zollner, L., Kumar, R., & Bermejo, J. L. (2025) · Diabetologia · doi:10.1007/s00125-025-06383-w · Cited by 1
González-Gómez, J., Santiesteban, G. M., Cerda-Flores, R. M., & Calderón‐Garcidueñas, A. L. (2015) · Revista Española de Medicina Legal · doi:10.1016/j.reml.2015.05.003 · Cited by 1
Quinto‐Sánchez, M., Cintas, C., Ramallo, V., de Cerqueira, C. C. S., Gómez‐Valdés, J., Acuña-Alonzo, V., Adhikari, K., Everardo, P., de Ávila, F., Jaramillo, C., et al. (2017) · Revista Argentina de Antropología Biológica · doi:10.17139/raab.2018.0020.01.06 · Cited by 1
Self-citationGeographic distribution of the 3435C>T polymorphism of the MDR1 gene in Peruvian populations
Ayala, E. V., Marcos-Carbajal, P., Coelho, E. B., Sandoval, J. R., & Salazar‐Granara, A. (2019) · Drug Metabolism and Personalized Therapy · doi:10.1515/dmpt-2018-0041 · Cited by 2
Colonialism and the co‐evolution of ethnic and genetic structure in New Mexico
Hunley, K., Edgar, H. J. H., Healy, M. E., & Mosley, C. (2020) · American Journal of Physical Anthropology · doi:10.1002/ajpa.23997 · Cited by 1
Godde, K., & González, M. R. (2021) · American Journal of Biological Anthropology · doi:10.1002/ajpa.24457 · Cited by 1
Native American ancestry leads to complexity in 5-HTTLPR polymorphism association studies
Hünemeier, T., Bisso‐Machado, R., Salzano, F. M., & Bortolini, M. C. (2015) · Molecular Psychiatry · doi:10.1038/mp.2015.39 · Cited by 1
Self-citationMito-nuclear effects uncovered in admixed populationsPreprint
Zaidi, A. A., & Makova, K. (2018) · bioRxiv · doi:10.1101/349126 · Cited by 1
Parâmetros populacionais e forenses de polimorfismos indel e detecção alelo-específica
Rodrigues, M. L. D. B. (2018) · doi:10.11606/d.17.2018.tde-29102018-154557 · Cited by 1
The Popgen Pipeline Platform: A Software Platform for Facilitating Population Genomic AnalysesPreprint
Webb, A. E., Knoblauch, J. G., Sabankar, N., Kallur, A. S., Hey, J., & Sethuraman, A. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/785774 · Cited by 1
Novel Genetic Loci Affecting Facial Shape Variation in HumansPreprint
Xiong, Z., Zhou, H., Dankova, G., Howe, L. J., Lee, M. K., Hysi, P. G., de Jong, M. A., Zhu, G., Adhikari, K., Li, D., et al. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3307375 · Cited by 1
Self-citationRetracing Human Genetic Histories and Natural Selection Using Precise Local Ancestry InferencePreprint
Lerga-Jaso, J., Novković, B., Unnikrishnan, D., Bamunusinghe, V., Hatorangan, M. R., Manson, C., Pedersen, H., Osama, A., Terpolovsky, A., Bohn, S., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.11.557177 · Cited by 1
“For example, the highest percentage of Native American ancestry (NAM) was found in Bolivia, Peru, Ecuador and Mexico, matching demographic and genetic reports from this region (24-26).”
BackgroundRosenthal, E. A., Hsu, L., Thomas, M., Peters, U., Kachulis, C., Patterson, K., & Jarvik, G. P. (2023) · medRxiv · doi:10.1101/2023.10.23.23296753 · Cited by 1
Lima, L. D. A. (2015) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.95.2015.tde-24082015-160400
Fuerst, J. G. R. (2015)
González-Gómez, J., Santiesteban, G. M., Cerda-Flores, R. M., & Calderón‐Garcidueñas, A. L. (2016) · Revista Española de Medicina Legal · doi:10.1016/j.remle.2015.05.001
Genomic Medicine in Developing Countries and Resource-Limited Environments
Κάτσιλα, Θ., Mitropoulos, K. A., Mohamed, Z., Forero, D. A., Laissue, P., Wonkam, A., López-Correa, C., Chantratita, W., LLerena, A. L., Ali, B. R., et al. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-802971-8.00026-2
Villar, M. E., Carrijo, F. T., Ramos, H. E., & Figueiredo, C. A. (2016) · Revista de Ciências Médicas e Biológicas · doi:10.9771/cmbio.v15i3.18196
BRASIL E A IDIOSSINCRASIA DA MISCIGENAÇÃO
Santos, E. T., Kehdy, F. S. G., Magalhães, W. C. S., Rodrigues, M. R., Scliar, M. O., Zolini, C., Barreto, M. L., Horta, B. L., Pereira, A. C., & Lima‐Costa, M. F. (2016) · Revista da Universidade Federal de Minas Gerais · doi:10.35699/2316-770x.2015.2748
Bortolini, M. C. (2019) · Ciência e Cultura · doi:10.21800/2317-66602019000200012
Self-citationPaz‐y‐Miño, C., Astudillo-González, O., Maldonado-Oyervide, D., López‐Cortés, A., Pérez‐Villa, A., Armendáriz‐Castillo, I., García-Cárdenas, J. M., Guerrero, S. X., Guevara‐Ramírez, P., Yumiceba, V., et al. (2019) · Forensic science international. Genetics supplement series · doi:10.1016/j.fsigss.2019.09.026
The Genetic Population Structure of Robinson Crusoe Island, Chile
Mountford, H. S., Villanueva, P., Fernández, M. A., Lilian Jara, S., Barbieri, Z. D., Carvajal‐Carmona, L. G., Cazier, J., & Newbury, D. F. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.00669
Body shape: Implicaciones en el estudio de obesidad y factores asociados
Navarro, J. P., Delrieux, C. A., & González‐José, R. (2020) · AJEA · doi:10.33414/ajea.5.770.2020
The impact of post-alignment processing procedures on whole-exome sequencing data
Borges, M. G., de Moraes, H. T., Rocha, C. S., & Lopes‐Cendes, Í. (2020) · Genetics and Molecular Biology · doi:10.1590/1678-4685-gmb-2020-0047
Prediction of Eye, Hair and Skin Color in Admixed Populations of Latin AmericaPreprint
Palmal, S., Adhikari, K., Mendoza-Revilla, J., Fuentes-Guajardo, M., de Cerqueira, C. S. D., Chacón-Duque, J., Sohail, A., Hurtado, M., Villegas, V., Granja, V., et al. (2020) · bioRxiv · doi:10.1101/2020.12.09.415901 · Cited by 1
Self-citationIncremento del uso de la información genómica en la atención médica en Colombia - Programa ORIGEN-
Ceferino, M. L. (2021) · Repositorio Universidad de Caldas
Admixture dynamics in colonial Mexico and the genetic legacy of the Manila GalleonPreprint
Rodríguez-Rodríguez, J. E., Ioannidis, A. G., Landa-Chavarría, E., Blanco-Portillo, J., Quinto-Cortés, C. D., Peñaloza‐Espinosa, R. I., Sandoval, K., & Moreno‐Estrada, A. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.09.463780
Medellín, S., & Dayana, N. (2019)
Coy v. Iowa: A Constitutional Right of Intimidation
Mayers, J. A. (1989) · Pepperdine Digital Commons (Pepperdine University)
(2017) · Duke University Press eBooks · doi:10.1215/9780822373070-013
Silva, M. A. C. E. (2021) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.41.2021.tde-09122021-151927
The Heredity Matrix: Genetics and the Understanding ofMestizaje, Health, and Belonging in Mexico
López-Beltrán, C., Delgado, A. N., González‐Santos, S. P., & Deister, V. G. (2022) · Science as Culture · doi:10.1080/09505431.2022.2065976
Normal aortic diameters within the Mexican population and the impact of gender and ethnicity
Fabiani, M. A., González-Urquijo, M., Silva‐Platas, C., Carrillo-Martinez, M. A., Vegas, D. H., Morelli, L., Puerta, C. V., Montero-Baker, M. F., Schonholtz, C., Hinojosa-Gonzalez, D. E., et al. (2022) · Revista Mexicana de Angiolog�a · doi:10.24875/rma.22000026
Juárez-Cortés, E. D., Contreras-Sieck, M. Á., Arriaga-Perea, A. J., Macías-Medrano, R. M., Jaime, A. B., Martínez, P., Zúñiga, J., Acuña-Alonzo, V., Granados, J., & Barquera, R. (2017) · Human Biology · doi:10.1353/hub.2017.0015
Self-citation
Metadata
- Authors
- Ruiz-Linares, A., Adhikari, K., Acuña-Alonzo, V., Quinto-Sanchez, M., Jaramillo, C., Arias, W., Fuentes, M., Pizarro, M., Everardo, P., de Avila, F., Gómez-Valdés, J., León-Mimila, P., Hunemeier, T., Ramallo, V., Silva de Cerqueira, C. C., Burley, M.-W., Konca, E., de Oliveira, M. Z., Veronez, M. R., Rubio-Codina, M., Attanasio, O., Gibbon, S., Ray, N., Gallo, C., Poletti, G., Rosique, J., Schuler-Faccini, L., Salzano, F. M., Bortolini, M.-C., Canizales-Quinteros, S., Rothhammer, F., Bedoya, G., Balding, D., & Gonzalez-José, R.
- Affiliations
- University College London (GB)
- Universidad de Antioquia (CO)
- University of Tarapacá (CL)
- National Institute of Anthropology and History (MX)
- Universidade Federal do Rio Grande do Sul (BR)
- Institute for Fiscal Studies (GB)
- University of Geneva (CH)
- Universidad Peruana Cayetano Heredia (PE)
- ORCID
- Venue
- PLoS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-09-25
- Volume
- 10
- Issue
- 9
- Pages
- e1004572
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- PMC
- PMC4177621
- OpenAlex
- W2112602049
- Cited by
- 442
- References
- 58
- Citations by year
- 2026: 24 · 2025: 39 · 2024: 25 · 2023: 40 · 2022: 27 · 2021: 45 · 2020: 41 · 2019: 46 · 2018: 41 · 2017: 38 · 2016: 45 · 2015: 28 · 2014: 2
- FWCI
- 24.74
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Genetics (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Archive ouverte UNIGE (University of Geneva) (publishedVersion, other-oa)
- Open Research Online (The Open University) (acceptedVersion)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc-sa)
- Americanae (AECID Library) (submittedVersion, cc-by)
- Institutional Repository University of Antioquia (University of Antioquia) (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- UCL Discovery (University College London) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Universidad de Chile (submittedVersion, cc-by-nc-nd)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
- Greater South Information System
- Funders
- Leverhulme Trust (F/07 134/DF)
- Biotechnology and Biological Sciences Research Council (BB/I021213/1)
- Economic and Social Research Council (ES/H021221/1)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Social Sciences › Anthropology › Race, Genetics, and Society
- Keywords
- admixture, genetic ancestry estimation, population structure, phenotypic diversity, demographic history, genetic diversity, self-perception bias
- MeSH terms
- Ethnicity, Biological Evolution, Female, Genetics, Population, Geography, Humans, Latin America, Male, Phenotype, Self Concept, Genetic Variation, Quantitative Trait, Heritable
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
