ABSTRACT
OBJECTIVE@#To investigate the clinical characteristics and genetic basis for a child with Keppen-Lubinsky syndrome (KPLBS).@*METHODS@#Trio-whole exome sequencing (Trio-WES) was carried out for the proband and her parents. Candidate variant was verified by Sanger sequencing and bioinformatic analysis.@*RESULTS@#The child has featured peculiar facies including large eyes, alar hypoplasia, microretrognathia, premature aging appearance in addition with growth delay and mental retardation. Trio-WES has identified that she has carried a de novo variant of the KCNJ6 gene, namely c.460G>C (p.Gly154Arg). The variant has not been recorded in the database. Prediction of protein structure indicated that the variant may affect the potassium ion selective filtration structure channel in the transmembrane region of KCNJ6 protein, which may result in up regulation of the function of the channel.@*CONCLUSION@#The de novo c.460G>C (p.Gly154Arg) variant of the KCNJ6 gene probably underlay the KPLBS in this child. Above finding has enriched the genotypic and phenotype spectrum of this syndrome.
Subject(s)
Female , Humans , Cataract , China , G Protein-Coupled Inwardly-Rectifying Potassium Channels/genetics , Hypogonadism/congenital , Intellectual Disability/genetics , Mutation , Exome SequencingABSTRACT
Objetivo. Explicar la variación de la desnutrición infantil (DI), entendida como baja talla para la edad (0 a 5 años) entre 1999 y 2006. Material y métodos. Se emplearon estimaciones estatales de DI y diversos indicadores que reflejan las probables causas subyacentes del fenómeno como la pobreza, el producto per cápita estatal, la educación de las mujeres y los accesos a infraestructura de salud y de drenaje. Para el análisis de datos se utilizaron los métodos de regresión con datos panel de efectos fijos y aleatorios. Resultados. Se encontró que la carencia de salud y drenaje, así como la pobreza, empeoran la DI, mientras que la educación de las mujeres la disminuye. Conclusiones. El estudio muestra que las variables de infraestructura explican en buena parte la variación reciente de la DI entre estados, y que el crecimiento económico no es una condición suficiente para reducir la DI.
Objective. Explain the variation in child malnutrition (CM), understood as low height for age (0 to 5 years old) for the period 1999-2006. Materials and methods. State estimations of child malnutrition and several indicators of subjacent probable causes of CM were employed, such as poverty indices, state product per capita, women scholar attainment and access to health and the sewage system. Panel data regression analysis with fixed and random effects were used to analyze the data. Results. The results indicate that the lack to access to health and sewage systems and poverty worsen CM, whereas women education helps to diminish CM. Conclusion. The study shows that infrastructure variables explain a significant part of the recent variation in DI across Mexican states, and that economic growth is not a sufficient condition to diminish DI.