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International audience; We developed a new mutationally well-balanced 32 Y-STR multiplex ( CombYplex) together with a machine learning (ML) program PredYMa Le to assess the impact of STR mutability on haplogourp prediction, while respecting forensic community criteria (high DC/HD). We designed CombYplex around two sub-panels M1 and M2 characterized by average and high-mutation STR panels. Using these two sub-panels, we tested how our program PredYmale reacts to mutability when considering basal branches and, moving down, terminal branches. We tested first the discrimination capacity of CombYplex on 996 human samples using various forensic and statistical parameters and showed that its resolution is sufficient to separate haplogroup classes. In parallel, Pred YMa Le was designed and used to test whether a ML approach can predict haplogroup classes from Y-STR profiles. Applied to our kit, SVM and Random Forest classifiers perform very well (average 97 %), better than Neural Network (average 91 %) and Bayesian methods (< 90 %). We observe heterogeneity in haplogroup assignation accuracy among classes, with most haplogroups having high prediction scores (99–100 %) and two (E1b1b and G) having lower scores (67 %). The small sample sizes of these classes explain the high tendency to misclassify the Y-profiles of these haplogroups; results were measurably improved as soon as more training data were added. We provide evidence that our ML approach is a robust method to accurately predict haplogroups when it is combined with a sufficient number of markers, well-balanced mutation rate Y-STR panels, and large ML training sets. Further research on confounding factors (such as CNV-STR or gene conversion) and ideal STR panels in regard to the branches analysed can be developed to help classifiers further optimize prediction scores.

RESUMEN Introduction: Variants in genes encoding for HIV-1 co-receptors and their natural ligands have been individually associated to natural resistance to HIV-1 infection. However, the simultaneous presence of these variants has been poorly studied. Objective: To evaluate the association of single and multilocus haplotypes in genes coding for the viral co-receptors CCR5 and CCR2, and their ligands CCL3 and CCL5, with resistance or susceptibility to HIV-1 infection. Materials and methods: Nine variants in CCR5-CCR2, two SNPs in CCL3 and two in CCL5 were genotyped by PCR-RFLP in 35 seropositive (cases) and 49 HIV-1-exposed seronegative Colombian individuals (controls). Haplotypes were inferred using the Arlequin software, and their frequency in individual or combined loci was compared between cases and controls by the chi-square test. A p’ value

Introducción. Las poblaciones de Aedes aegypti pueden experimentar cambios en cuanto a su abundancia y diversidad genética y, con ello, su potencial evolutivo para responder al control vectorial. El conocimiento de los cambios en la variación genética a escala espacio-temporal, permite entender mejor la epidemiología del dengue y contribuye al diseño adecuado y oportuno de estrategias antivectoriales. Objetivo. Evaluar los cambios genéticos, la diversidad y el flujo génico en seis poblaciones microgeográficas de Ae. aegypti en Medellín en diferentes períodos epidemiológicos del dengue. Materiales y métodos. En 255 especímenes provenientes de seis barrios de Medellín, se evaluó la variación en la composición de los haplotipos mtDNA CO1 , así como la diversidad y la diferenciación genética en un período epidémico (2010) y en otro endémico (2012). Resultados. Se detectaron dos grupos de haplotipos muy diferenciados entre sí en ambos períodos, al igual que un haplotipo de alta frecuencia presente en todos los barrios. La mayor diversidad de haplotipos se registró en el 2012, pero la mayor diversidad de nucleótidos se presentó en el 2010. No se observó correlación significativa entre las distancias genéticas y geográficas. Conclusión. La composición genética de Ae. aegypti varía temporalmente sin un patrón predecible. La presencia de un haplotipo de gran frecuencia en ambos períodos podría ser indicio de una variación persistente adaptada al control vectorial. Sin embargo, la circulación simultánea de haplotipos CO1 muy diferenciados y compatibles con múltiples introducciones, sugiere que diversos acervos genéticos serían aptos para la transmisión. Estos resultados son compatibles con la dispersión del mosquito por efecto de actividades antrópicas, lo cual posibilitaría la diseminación rápida del virus durante epidemias en Medellín. Introduction: Aedes aegypti populations may experience changes in abundance and genetic diversity in addition to changes in their evolutionary capability to respond to vector control. The knowledge on the changes in genetic variation on a spatio-temporal scale improves the epidemiological understanding of dengue and supports the appropriate and timely design of vector control strategies. Objective: To assess the genetic changes, diversity and gene flow in six microgeographical populations of Ae. aegypti in Medellín for different epidemiological periods of dengue. Materials and methods: A total of 255 specimens from six different neighborhoods in Medellín were used to assess variations in the CO1 mtDNA haplotype composition, diversity and genetic differentiation for an epidemic period (2010) and an endemic period (2012). Results: Two groups of highly differentiated haplotypes were present in both periods, and a high-frequency haplotype was assessed for all neighborhoods. The highest haplotype diversity was recorded in 2012, but the maximum nucleotide diversity was recorded in 2010. No significant correlation between genetic and geographic distances was observed. Conclusions: The genetic composition of Ae. aegypti varies over time without a predictable pattern. In addition, the presence of a high-frequency haplotype in both periods could indicate a persistent variation adapted to vector control. However, the simultaneous movement of highly differentiated CO1 haplotypes compatible with multiple introductions suggests that different gene pools would be suitable for transmission. These results are consistent with mosquito dispersion due to human activities, which would enable the rapid spread of the virus during epidemics in Medellin.

Introducción. Las proteínas desacoplantes pertenecen a la familia de proteínas transportadoras de aniones que desacoplan la producción de ATP de la respiración mitocondrial, causando pérdida de protones a través de la membrana mitocondrial interna y disipando la energía en forma de calor. Aunque su función no ha sido bien establecida, algunos polimorfismos en estas proteínas se han asociado con diabetes mellitus tipo 2, obesidad y resistencia a la insulina. Objetivo. Evaluar la asociación entre las variantes -3826A/G, ID 45, -2723T/A, -1957G/A, -866G/A, -55C/T de los genes de las proteínas desacoplantes 1, 2 y 3 con diabetes mellitus tipo 2 en una población del nordeste colombiano. Materiales y métodos. Se tipificaron 545 casos y 449 controles para 14 variantes de los genes de las proteínas desacoplantes por medio de PCR y PCR-RFLP. Se hicieron pruebas de asociación simples con ji al cuadrado y se corrigieron en un análisis de regresión logística bayesiana, incluyendo los estimados de mezcla individual obtenidos mediante 54 marcadores informativos de ascendencia europea, africana y amerindia. Resultados. Las variantes -3826A (OR=0,78; IC95% 0,63-0,97; p=0,02), -55C (OR=1,41; IC95% 1,04-1,92; p=0,03) de las proteínas desacoplantes 1 y 3, respectivamente, y el haplotipo D45, -866G, -1957G, -2723T, -55C (OR=1,26; IC95% 1,02-1,56; p=0,03) se asociaron con diabetes tipo 2. Estas asociaciones se conservaron después de ajustar por la mezcla genética individual. Conclusión. Algunas variantes de las proteínas desacoplantes 1, 2 y 3, y sus haplotipos, confieren riesgo para diabetes mellitus tipo 2 en una población del nordeste colombiano. Introduction. The uncoupling proteins belong to the family of anion transporting proteins which uncouple the ATP production from the mitochondrial respiration, cause proton leakage through the inner mitochondrial membrane, and release energy as heat. Although uncoupling protein function has not been well established, specific polymorphisms in these proteins have been associated with type 2 diabetes mellitus, obesity and insulin resistance. Objective. The association was assessed between the polymorphisms in uncoupling protein genes 1, 2 and 3 genes and type 2 diabetes mellitus. Materials and methods. In a northwestern Colombian population, 545 diabetes cases and 449 controls were investigated for presence of 14 polymorphisms in uncoupling protein genes (3826A/G, ID 45, 2723T/A, 1957G/A, 866G/A, and 55C/T) by PCR and PCR-RFLP. Single associations were evaluated by chi-square test, and bayesian logistic regression analysis was done including as covariates the individual admixture estimates obtained by 54 informative markers for European, African and Amerind ancestry. Results.Association between type 2 diabetes mellitus and the polymorphisms 3826A (OR=0.78; 95%CI=0.63-0.97; p=0.02) and 55C (OR=1.41; 95%CI=1.04-1.92; p=0.03) and the haplotype D45, 866G, 1957G, 2723T, and 55C (OR=1.26; 95%CI=1.02-1.56; p=0.03) were found. These associations remained after adjustment using individual genetic admixture estimates. Conclusion.Some alleles of uncoupling protein genes 1, 2 and 3, and their haplotypes confer risk to type 2 diabetes in a northwestern Colombian population.