1,721,118 research outputs found
A novel HLA-DR4 haplotype generated by a rare recombinational event between DRB1 and DQA1 loci
No full textTelomere length in preterm infants: A promising biomarker of early adversity and care in the Neonatal Intensive Care Unit?
No full textPreterm infants present an immature neurobehavioral profile at birth, even in absence of severe brain injuries and perinatal complications. As such, they require a long-lasting hospitalization in the Neonatal Intensive Care Unit (NICU), which is thought to grant at-risk newborns' survival, but still entails a number of physical, painful, and socio-emotional stressors. Hence, preterm birth and NICU stay represent an early adverse experience, which has been linked to detrimental consequences for neurological, neuro-endocrinal, behavioral, and socio-emotional development, as well as to disease later in life. Recent advances in the behavioral epigenetic field are helping us to unveil the potential mechanisms through which early NICU-related stress may lead to negative developmental outcomes. From this perspective, telomere regulation might be a key programming mechanism. Telomeres are the terminal portion of chromosomes and are known to get shorter with age. Moreover, telomere length (TL) is affected by the exposure to stress during early development. As such, TL might be an innovative biomarker of early adverse exposures in young infants and children. Unfortunately, there is paucity of studies investigating TL in populations of preterm infants and its association with known NICU-related stressors remains unexplored. In the present paper, the potential relevance of TL for research and clinical work with preterm infants will be underlined in the light of recent contributions linking progressive telomere shortening and early exposure to adverse experiences and stressful environments in humans. Finally, insights will be provided to guide clinically relevant translational research on TL in the field of VPT birth and NICU stay
An assessment of gene-by-gene interactions as a tool to unfold missing heritability in dyslexia
No full textEven if substantial heritability has been reported and candidate genes have been identified extensively, all known marker associations explain only a small proportion of the phenotypic variance of developmental dyslexia (DD) and related quantitative phenotypes. Gene-by-gene interaction (also known as “epistasis”—G × G) triggers a non-additive effect of genes at different loci and should be taken into account in explaining part of the missing heritability of this complex trait. We assessed potential G × G interactions among five DD candidate genes, i.e., DYX1C1, DCDC2, KIAA0319, ROBO1, and GRIN2B, upon DD-related neuropsychological phenotypes in 493 nuclear families with DD, by implementing two complementary regression-based approaches: (1) a general linear model equation whereby the trait is predicted by the main effect of the number of rare alleles of the two genes and by the effect of the interaction between them, and (2) a family-based association test to detect G × G interactions between two unlinked markers by splitting up the association effect into a between- and a within-family genetic orthogonal components. After applying 500,000 permutations and correcting for multiple testing, both methods show that G × G effects between markers within the DYX1C1, KIAA0319/TTRAP, and GRIN2B genes lower the memory letters composite z-score of on average 0.55 standard deviation. We provided initial evidence that the effects of familial transmission of synergistic interactions between genetic risk variants can be exploited in the study of the etiology of DD, explain part of its missing heritability, and assist in designing customized charts of individualized neurocognitive impairments in complex disorders, such as DD
A large analphoid invdup(3)(q22.3qter) marker chromosome characterized by array-CGH in a child with malformations, mental retardation, ambiguous genitalia and Blaschko's lines.
No full textInfluence of the OPRM-1 Gene Polymorphism Upon Children’s Degree of Withdrawal and Brain Activation in the Early Phases of Implicit Facial Expressions’ Processing
No full textUnusual cognitive and behavioural profile in a Williams syndrome patient with atypical 7q11.23 deletion
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SLC6A4 methylation as an epigenetic marker of life adversity exposures in humans: A systematic review of literature
No full textThe application of epigenetics to the study of behavioral and socio-emotional development in humans has revealed that DNA methylation could be a potential marker of adversity exposure and long-lasting programming of health and disease. The serotonin transporter gene (SLC6A4) is a stress-related gene which has well-documented implications for behavioral and socio-emotional development and which has been shown to be susceptible to transcriptional regulation via epigenetic mechanisms. In the present paper, a systematic review of papers assessing the association among adversity exposures, SLC6A4 methylation and developmental outcomes is reported. Nineteen studies were included. Findings revealed that SLC6A4 methylation has been investigated in humans in association with a number of prenatal and postnatal adverse exposures, encompassing maternal depression during pregnancy, perinatal stress exposure, childhood trauma and abuse, and environmental stress. SLC6A4 is confirmed as a relevant biomarker of early adversity exposures, and epigenetic mechanisms occurring at this gene appear to play a critical role for programming. Nonetheless, specific methodological issues still need to be addressed in future human behavioral epigenetic research
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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