34, 5.64) for preterm birth and (OR 7.45, 95% CI 6.58, 8.44) for NICU admission; and gestational hypertension (OR 4.35, 95% CI 4.03, 4.70) for low birth weight. Among infections, bacterial vaginosis is retained in the multivariable model as a risk factor for preterm and low birth weight while hepatitis C is a risk factor for NICU admission.
 
  Our findings suggest the continued importance of addressing the need to provide preconception and inter conception care for women since many modifiable risk factors are correlated and need to be addressed well before the woman becomes pregnant.
 Our findings suggest the continued importance of addressing the need to provide preconception and inter conception care for women since many modifiable risk factors are correlated and need to be addressed well before the woman becomes pregnant.
  To assess validity of a fetal overgrowth index in an external cohort of women with diabetes in pregnancy METHODS We performed a retrospective analysis of data derived from women with singleton gestations complicated by diabetes who delivered January 2015-June 2018. The following index variables were used to calculate risk of fetal overgrowth as defined by a customized birthweight ≥ 90th centile age, history of fetal overgrowth in a prior pregnancy, gestational weight gain, fetal abdominal circumference measurement and fasting glucose between 24 and 30weeks.
 
  In our validation cohort, 21% of 477 pregnancies were complicated by fetal overgrowth. The predictive index had a bias-corrected bootstrapped area under receiver operating characteristic curve of 0.90 (95% CI 0.86-0.93). 55% of the cohort had a low-risk index (≤ 3) which had a negative predictive value of 97% (95% CI 94-98%), while 18% had a high-risk index (≥ 8) that had a positive predictive value of 74% (95% CI 66-81%).
 
  The fetal overgrowth index incorporates five factors that are widely available in daily clinical practice prior to the period of maximum fetal growth velocity in the third trimester. Despite substantial differences between our cohort and the one studied for model development, we found the performance of the index was strong. This finding lends support for the general use of this tool that may aid counseling and allow for targeted allocation of healthcare resources among women with pregnancies complicated by diabetes.
 The fetal overgrowth index incorporates five factors that are widely available in daily clinical practice prior to the period of maximum fetal growth velocity in the third trimester. Despite substantial differences between our cohort and the one studied for model development, we found the performance of the index was strong. This finding lends support for the general use of this tool that may aid counseling and allow for targeted allocation of healthcare resources among women with pregnancies complicated by diabetes.Brucellosis is a zoonosis caused by bacteria of the Brucella genus. Any source of contamination that could be infectious must be monitored to reduce the risk of exposure to brucellosis, so the purpose of this work was to determine the presence of Brucella spp. on surface water and tilapia (Oreochromis niloticus) skin from a volcanic lake in Mexico. A seasonal sampling during 2016-2017 was carried out at fifteen specific sites for water sampling and five sites for the collection of tilapia fish. From all water and fish samples tested, we found only three isolates of Brucella species. We isolated and identified B. abortus from surface water through bacteriological and molecular techniques, and B. abortus and B. suis from the same tilapia skin sample. The isolated strains likely came from breeding animals that are common to the region, such as infected pigs or cattle with Brucella abortus or B. suis, respectively. A similar finding has not been reported in a water from volcanic lake or tilapia fish in Mexico. We concluded that B. abortus and B. suis are present on the surface water of the volcanic lake and tilapia skin as possible contaminants derived from biological material from cows and pigs carrying this bacterium.
  Charcot-Marie-Tooth (CMT) disease is a prevalent and heterogeneous peripheral neuropathy. Most patients affected with the axonal form of CMT (CMT2) do not harbor mutations in the approximately 90 known CMT-associated genes. We aimed to identify causative genes in two CMT2 pedigrees.
 
  Neurologic examination, laboratory tests and brain MRIs were performed. Genetic analysis included exome sequencing of four patients from the two pedigrees. The predicted effect of a deep intronic mutation on splicing was tested by regular and real-time PCR and sequencing.
 
  Clinical data were consistent with CMT2 diagnosis. Inheritance patterns were autosomal recessive. Exome data of CMT2-101 did not include mutations in known CMT-associated genes. Sequence data, segregation analysis, bioinformatics analysis, evolutionary conservation, and information in the literature strongly implicated HADHA as the causative gene. An intronic variation positioned 23 nucleotides away from following intron/exon border in GDAP1 was ultimately is only the second intronic mutation reported in GDAP1.  https://www.selleckchem.com/products/atglistatin.html  The mutation in the CMT2-102 pedigree was outside the canonical splice site sequences, emphasizing the importance of careful examination of available intronic sequences in exome sequence data.
  The physical locations of citrus centromere are revealed by combining genetic and immunological assays for the first time and nine citrus centromere-specific markers for cytogenetics are mined. Centromere localization is challenging, because highly redundant repetitive sequences in centromeric regions make sequence assembly difficult. Although several citrus genomes have been released, the centromeric regions and their characteristics remain to be elucidated. Here, we mapped citrus centromeres through half-tetrad analysis (HTA) that included the genotyping of 54 tetraploid hybrids derived from 2n megagametophytes of Nadorcott tangor with 212 single nucleotide polymorphism (SNP) markers. The sizes of centromeric regions, which estimated based on the heterozygosity restitution rate pattern along the chromosomes, ranged from 1.12 to 18.19Mb. We also profiled the binding sequences with the centromere-specific histone variant CenH3 by chromatin immunoprecipitation sequencing (ChIP-seq). Based on the positions of the top ten CenH3-enriched contigs, the sizes of centromeric regions were estimated to range from 0.