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La selección genómica (SG) es usada para predecir el mérito de un genotipo respecto a un carácter cuantitativo a partir de datos moleculares o genómicos. Estadísticamente, la SG requiere ajustar un modelo de regresión con múltiples variables predictoras asociadas a los estados de los marcadores moleculares (MM). El modelo se calibra en una población en la que hay datos fenotípicos y genómicos. La abundancia y la correlación de la información de los MM dificultan la estimación, y por ello existen distintas estrategias para el ajuste del modelo basadas en: mejor predictor lineal insesgado (BLUP), regresiones Bayesianas y aprendizaje automático. La correlación entre el fenotipo observado y el mérito genético predicho por el modelo ajustado, provee una medida de eficiencia (capacidad predictiva) de la SG. El objetivo de este trabajo fue realizar un meta-análisis de la eficiencia de la SG en cereales. Se realizó una revisión sistemática de estudios relacionados a SG y se llevó a cabo un meta-análisis, para obtener una medida global de la eficiencia de la SG en trigo y maíz, bajo diferentes escenarios (cantidad de MM y método estadístico usado para la SG). El metaanálisis indicó un coeficiente de correlación promedio de 0,61 entre los méritos genéticos predichos y los fenotipos observados. No se observaron diferencias significativas en la eficiencia de la SG realizada con modelos basados en BLUP (RR-BLUP y GBLUP), enfoque estadístico más comúnmente usado. El incremento de MM no cambia significativamente la eficiencia de la SG.

Genomic selection (GS) is used to predict the merit of a genotype with respect to a quantitative trait from molecular or genomic data. Statistically, GS requires fitting a regression model with multiple predictors associated with the molecular markers (MM) states. The model is calibrated in a population with phenotypic and genomic data. The abundance and correlation of MM information make model estimation challenging. For that reason there are diverse strategies to adjust the model: based on best linear unbiased predictors (BLUP), Bayesian regressions and machine learning methods. The correlation between the observed phenotype and the predicted genetic merit by the fitted model provides a measure of the efficiency (predictive ability) of the GS. The objective of this work was to perform a metaanalysis on the efficiency of GS in cereals. A systematic review of related GS studies and a meta-analysis, in wheat and maize, was carried out to obtain a global measure of GS efficiency under different scenarios (MM quantity and statistical models used in GS). The meta-analysis indicated an average correlation coefficient of 0.61 between observed and predicted genetic merits. There were no significant differences in the efficiency of the GS based on BLUP (RR-BLUP and GBLUP), the most common statistical approach. The increase of MM data, make GS efficiency do not vary widely.

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BACKGROUND: The Guatemalan Highlands is a region of great but so far poorly known mycological diversity. People living in this area have long used wild fungi as a source of food and income. However, our knowledge of the ethnomycological practices of the Mayan peoples of Guatemala is still rudimental, especially if compared with information reported for the neighboring region of Mexico. Among the main indigenous groups of the Maya people inhabiting the highlands of Central Guatemala, stand the Kaqchikel, accounting for nearly 8% of the entire Guatemalan population. The main aim of this study was to record the traditional knowledge and use of edible wild mushrooms by inhabitants of the municipality of San Juan Sacatepéquez that lies at the heart of the Kaqchikel area in the central highlands of Guatemala, also describing the relevant selling practices and dynamics. A secondary aim was to compare the diversity and composition of the mushroom assemblage offered at the market with the macrofungal diversity of woods in the area. METHODOLOGY: This study is the result of 4 years of ethnomycological research, conducted through continuous visits to the municipal market and focused interviews with collectors and vendors. Field sampling in pine-oak forested areas surrounding San Juan Sacatepéquez, from where the mushrooms sold at the market are foraged, were also conducted, in the presence of local collectors. RESULTS: The results show a significant richness of species sold in the market, a network of commerce of purchase, sale, and resale of several species, with relatively stable prices, and knowledge about edible and inedible species that is transmitted mainly within the family nucleus. The business of selling mushrooms in the market is an exclusive activity of women, who are supplied by collectors or by other vendors. Fungi are sold and bought only as food, while no consumption of hallucinogenic mushrooms or medicinal mushrooms was recorded. Several species of Amanita, Cantharellus, Boletus, Lactarius, and Russula were those most commercialized in the 4 years of the study, but we also spotted fungi never reported before as consumed in the country, including Gastropila aff. fumosa (= Calvatia fumosa) and several species of Cortinarius. Field sampling in nearby pine-oak forests confirmed an elevated local macrofungal diversity. CONCLUSION: Our study unveiled the contemporary wealth of Kaqchikel culture for what concerns mushrooms, demonstrating that mushrooms continue to be culturally and economically important for these communities despite the erosion of traditional knowledge. Our results also confirmed the need to investigate in greater detail the Guatemalan mycodiversity that is vast and poorly known.

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BACKGROUND: To consolidate the new classification model addressed to the allergic and hypersensitivity conditions according to the International Classification of Diseases (ICD)-11 revision timeline, we here propose real-life application of quality assurance methodology to evaluate sensitivity and accuracy of the 'Anaphylaxis' subsection. METHODS: We applied field-testing methodology by analysing all the consecutive inpatients' files documented as allergies from the University Hospital of Montpellier electronic database for the period of 1 year. The files clinically validated as being anaphylaxis were manually blind-coded under ICD-10 and current ICD-11 beta draft. The correspondence of coding and the impressions regarding sensibility were evaluated. RESULTS: From all 2318 files related to allergic or hypersensitivity conditions, 673 had some of the anaphylaxis ICD-10 codes; 309 files (46%) from 209 patients had anaphylaxis and allergic or hypersensitivity comorbidities description. The correspondence between the two coders was perfect for 162 codes from all 309 entities (52.4%) (Cohen-kappa value 0.63) with the ICD-10 and for 221 codes (71.5%) (Cohen-kappa value 0.77) with the ICD-11. There was a high agreement regarding sensibility of the ICD-11 usability (Cohen-kappa value 0.75). CONCLUSION: We here propose the first attempt of real-life application to validate the new ICD-11 'Anaphylaxis' subsection. Clearer was the improvement in accuracy reaching 71.5% of agreement when ICD-11 was used. By allowing all the relevant diagnostic terms for anaphylaxis to be included into the ICD-11 framework, WHO has recognized their importance not only to clinicians but also to epidemiologists, statisticians, healthcare planners and other stakeholders.

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BACKGROUND: In 2012, an analysis of the Brazilian mortality database demonstrated undernotification of anaphylaxis deaths due, at least in part, to difficult coding under the International Classification of Diseases (ICD)-10. This work triggered a cascade of strategic international actions supported by the Joint Allergy Academies and the ICD World Health Organization (WHO) representatives to update the classifications of allergic disorders for the ICD-11 revision. These efforts have resulted in the construction of the new 'Allergic and hypersensitivity conditions' section under the 'Disorders of the Immune system' chapter. OBJECTIVE: To analyze the capacity of the new ICD-11 revision to capture anaphylaxis deaths. METHODS: We re-estimated the anaphylaxis deaths that occurred in Brazil during the period 2008 to 2010, utilizing this new framework and the database of the Brazilian mortality information system that had initially been extracted in May 2011. However, in 2016, a manual review of each of the 3638 records was performed. RESULTS: We identified 639 anaphylaxis deaths, of which 95% were classified as 'definitive anaphylaxis deaths'. In contrast to the 2012 published data, we found a higher number of cases; moreover, all 606 definitive anaphylaxis deaths would be considered as underlying causes of death utilizing the ICD-11 revision. CONCLUSION: This study is the first example of how the new 'Allergic and hypersensitivity conditions' section of the forthcoming ICD-11 can improve the quality of official vital statistics data and the visibility of an important public health concern. This research will facilitate comprehensive, comparable population-based epidemiologic data collection on anaphylaxis.

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BACKGROUND: Since 2013, an international collaboration of Allergy Academies, including first the World Allergy Organization (WAO), the American Academy of Allergy Asthma and Immunology (AAAAI), and the European Academy of Allergy and Clinical Immunology (EAACI), and then the American College of Allergy, Asthma and Immunology (ACAAI), the Latin American Society of Allergy, Asthma and Immunology (SLAAI), and the Asia Pacific Association of Allergy, Asthma and Clinical Immunology (APAAACI), has spent tremendous efforts to have a better and updated classification of allergic and hypersensitivity conditions in the forthcoming International Classification of Diseases (ICD)-11 version by providing evidences and promoting actions for the need for changes. The latest action was the implementation of a classification proposal of hypersensitivity/allergic diseases built by crowdsourcing the Allergy Academy leaderships. METHODS: Following bilateral discussions with the representatives of the ICD-11 revision, a face-to-face meeting was held at the United Nations Office in Geneva and a simplification process of the hypersensitivity/allergic disorders classification was carried out to better fit the ICD structure. RESULTS: We are here presenting the end result of what we consider to be a model of good collaboration between the World Health Organization and a specialty. CONCLUSION: We strongly believe that the outcomes of all past and future actions will impact positively the recognition of the allergy specialty as well as the quality improvement of healthcare system for allergic and hypersensitivity conditions worldwide.

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The global allergy community strongly believes that the 11th revision of the International Classification of Diseases (ICD-11) offers a unique opportunity to improve the classification and coding of hypersensitivity/allergic diseases via inclusion of a specific chapter dedicated to this disease area to facilitate epidemiological studies, as well as to evaluate the true size of the allergy epidemic. In this context, an international collaboration has decided to revise the classification of hypersensitivity/allergic diseases and to validate it for ICD-11 by crowdsourcing the allergist community. After careful comparison between ICD-10 and 11 beta phase linearization codes, we identified gaps and trade-offs allowing us to construct a classification proposal, which was sent to the European Academy of Allergy and Clinical Immunology (EAACI) sections, interest groups, executive committee as well as the World Allergy Organization (WAO), and American Academy of Allergy Asthma and Immunology (AAAAI) leaderships. The crowdsourcing process produced comments from 50 of 171 members contacted by e-mail. The classification proposal has also been discussed at face-to-face meetings with experts of EAACI sections and interest groups and presented in a number of business meetings during the 2014 EAACI annual congress in Copenhagen. As a result, a high-level complex structure of classification for hypersensitivity/allergic diseases has been constructed. The model proposed has been presented to the WHO groups in charge of the ICD revision. The international collaboration of allergy experts appreciates bilateral discussion and aims to get endorsement of their proposals for the final ICD-11.

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OBJECTIVE: The purpose of the study is to determine the prevalence of polydactyly, its clinical characteristic and its association with some risk factors. MATERIAL AND METHODS: A retrospective, case-control study, of 45 newborn with polydactyly and their controls, in 26,670 consecutive births in the Nuevo Hospital Civil de Guadalajara, with 20 weeks or more of gestational age, and birth weight greater than 500 g, since November of 1988 to October of 1992. The information were obtained from the database of the Congenital External Malformation Register, carried out by the University of Guadalajara. The prevalence of polydactyly was obtained and clinical characteristic were documented. Continuous variables were compared using t Student test. For discrete variables, analysis were carried out using X2 test and the odds ratio. RESULTS: The prevalence of polydactyly was of 1.73 x 1,000 alive newborn. The polydactyly of the hands in 26 newborn; preaxial in five and 21 was postaxial. The polydactyly in the foot was present in 19 newborn. The only statistics differences with control group were: low length and the antecedent of other malformation in the family. CONCLUSION: The found prevalence is different to the one informed in the literature. The association with antecedent of another malformation in the family, support the role of hereditary factors in etiology.

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