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Expanding the clinical picture of the MECP2 Duplication syndromePerinatal characteristics, early childhood development and medical co-morbidities in MECP2 Duplication syndrome
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Screening for rheumatic heart disease: Quality and agreement of focused cardiac ultrasound by briefly trained health workersAfter brief training, health workers with no prior experience in echocardiography can obtain adequate quality images and make a reliable assessment
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Systematic review and meta-analysis of respiratory viral coinfections in childrenCoinfection is not associated with increased clinical severity, but further investigations by pathogen pairs are warranted
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25-hydroxyvitamin D status of pregnant women is associated with the use of antenatal vitamin supplements and ambient ultraviolet radiationVitamin D deficiency in a predominantly white Caucasian cohort of pregnant women is less prevalent than has been reported in other studies
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MACROD2 gene associated with autistic-like traits in a general population sampleThe MACROD2 gene is a strong positional candidate risk factor for autistic-like traits in the general population
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Blood DNA methylation biomarkers predict clinical reactivity in food-sensitized infantsThe diagnosis of food allergy (FA) can be challenging because approximately half of food-sensitized patients are asymptomatic.
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Cohort profile of the HealthNuts study: Population prevalence and environmental/genetic predictors of food allergyHealthNuts is a single-centre, multi-wave, population-based longitudinal study designed to assess prevalence, determinants, natural history and allergy...
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TagDust2: A generic method to extract reads from sequencing data.Arguably the most basic step in the analysis of next generation sequencing data (NGS) involves the extraction of mappable reads from the raw reads...
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Developing a Model to Account for Attrition Bias in a Longitudinal CohortOur objective was to develop a method that could be applied in a longitudinal cohort study to account for attrition bias in an investigation of exclusive...
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Big data in global health: Improving health in low- and middle-income countriesOver the last decade, a massive increase in data collection and analysis has occurred in many fields.