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Ricardo M. Cerda-Flores

Researcher at Universidad Autónoma de Nuevo León

Publications -  158
Citations -  2119

Ricardo M. Cerda-Flores is an academic researcher from Universidad Autónoma de Nuevo León. The author has contributed to research in topics: Population & Genotype. The author has an hindex of 21, co-authored 153 publications receiving 1929 citations. Previous affiliations of Ricardo M. Cerda-Flores include University of Texas Health Science Center at Houston & Mexican Social Security Institute.

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Pre-Hispanic Mesoamerican demography approximates the present-day ancestry of Mestizos throughout the territory of Mexico.

TL;DR: STRUCTURE results and admixture estimations by means of LEADMIX software in Mestizo populations demonstrated genetic heterogeneity or asymmetric admixture throughout Mexico, displaying an increasing North-to-South gradient of Amerindian ancestry, and vice versa regarding the European component.
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Estimation of nonpaternity in the Mexican population of Nuevo Leon: a validation study with blood group markers.

TL;DR: It is concluded that even though DNA markers are more informative, the probabilistic approach developed here would still be needed to estimate the true rate of nonpaternity in a population or to evaluate the precision of detecting true fathers.
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Genetic admixture in three Mexican Mestizo populations based on D1S80 and HLA-DQA1 loci.

TL;DR: DNA markers, such as D1S80 and HLA‐DQA1, are useful for examining genetic homogeneity/heterogeneity across Mestizo populations of Mexico, and the inverse relationship of the proportion of gene diversity due to population differences to within population gene diversity is consistent with theoretical predictions, supporting the use of these markers for population genetics studies.
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Maximum likelihood estimates of admixture in northeastern Mexico using 13 short tandem repeat loci

TL;DR: In this paper, the authors provided allelic distributions of the tetrameric short tandem repeat (STR) polymorphisms in 143 Mestizos from Northeastern Mexico and compared them with D1S80 and HLA-DQA1 (n = 103).