Identification and Characterization of Genetic Components in Autism Spectrum Disorders 2019

The Identification of the Genetic Components of Autism Spectrum Disorders 2019 will serve as a resource for laboratory and clinical scientists as well as translational-based researchers, primary healthcare providers or physicians, psychologists/psychiatrists, neurologists, developmental pediatrician...

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Bibliographic Details
Other Authors: Butler, Merlin G. (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
gut
ASD
BMI
SAM
Online Access:DOAB: download the publication
DOAB: description of the publication
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245 1 0 |a Identification and Characterization of Genetic Components in Autism Spectrum Disorders 2019 
260 |a Basel  |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2022 
300 |a 1 electronic resource (256 p.) 
336 |a text  |b txt  |2 rdacontent 
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338 |a online resource  |b cr  |2 rdacarrier 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a The Identification of the Genetic Components of Autism Spectrum Disorders 2019 will serve as a resource for laboratory and clinical scientists as well as translational-based researchers, primary healthcare providers or physicians, psychologists/psychiatrists, neurologists, developmental pediatricians, clinical geneticists, and other healthcare providers, teachers, caregivers and students involved in autism spectrum disorders (ASD) with the goal to translate information directly to the clinic, education and home setting. Other professionals, students and families might find this textbook of value based on better awareness, causes and understanding of genetic components leading to autism and open avenues for treatment. Genetics play a role with up to 90% of autism, with over 800 currently recognized genes contributing to causes, clinical presentation, treatment, and counseling of family members. This textbook includes 13 chapters divided into three sections (clinical, genetics, other) written by experts in the field dedicated to research and clinical care, description, treatment and generating relevant reviews for ASD and related disorders impacting gene expression, profiling, and pathways. Identification of potential risk factors will be discussed, including obesity, microbiota, malignancy, and the immune system, as well as their direct or indirect contribution to ASD treatment and causation. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by/4.0/ 
546 |a English 
650 7 |a Research & information: general  |2 bicssc 
650 7 |a Biology, life sciences  |2 bicssc 
650 7 |a Genetics (non-medical)  |2 bicssc 
653 |a autism spectrum disorders (ASD) 
653 |a cancer 
653 |a overlapping genes and gene profiling 
653 |a super-pathways 
653 |a phenotypes and diseases 
653 |a molecular functions and processes 
653 |a 15q11.2 BP1-BP2 microdeletion (Burnside-Butler) syndrome 
653 |a imprinting 
653 |a parent-of-origin effects 
653 |a phenotype-genotype correlation 
653 |a autism 
653 |a developmental delays 
653 |a motor delays 
653 |a microbiome 
653 |a gut 
653 |a ProSAP2 
653 |a Phelan McDermid Syndrome 
653 |a gut-brain interaction 
653 |a leaky gut 
653 |a IL-6 
653 |a SHANK 
653 |a collapsin response mediator protein 4 
653 |a autism spectrum disorder 
653 |a neurodevelopmental disorder 
653 |a whole-exome sequencing 
653 |a animal model 
653 |a sex different phenotypes 
653 |a 15q11.2 BP1-BP2 microdeletion (Burnside-Butler syndrome) 
653 |a NIPA1 
653 |a NIPA2 
653 |a CYFIP1 
653 |a TUBGCP5 genes 
653 |a Prader-Willi and Angelman syndromes 
653 |a magnesium transporters and supplementation 
653 |a potential treatment options 
653 |a intellectual disability 
653 |a AMPA receptors 
653 |a NMDA receptors 
653 |a guanine nucleotide exchange factor 
653 |a synaptic plasticity 
653 |a Autism spectrum disorder 
653 |a ASD 
653 |a Obesity 
653 |a Overweight 
653 |a Body mass index 
653 |a BMI 
653 |a autism candidate genes 
653 |a synaptotagmin-like protein 4 (SYTL4) 
653 |a transmembrane protein 187 (TMEM187) 
653 |a SYTL4-protein structure 
653 |a STRING-protein-protein interaction 
653 |a expression profile 
653 |a microRNA- interactions 
653 |a autism spectrum disorders 
653 |a biological networks 
653 |a genomics 
653 |a multi-omics 
653 |a network diffusion 
653 |a data integration 
653 |a genetics 
653 |a quantitative traits 
653 |a stratification by trait severity 
653 |a heterogeneity reduction 
653 |a case-control association analysis 
653 |a fragile X syndrome 
653 |a RNA toxicity 
653 |a DNA methylation 
653 |a mosaicism 
653 |a pediatrics 
653 |a MS-QMA 
653 |a AmplideX 
653 |a cytokine 
653 |a monocyte 
653 |a β-glucan 
653 |a T cell cytokine 
653 |a trained immunity 
653 |a maternal immune activation 
653 |a epigenetics 
653 |a mice 
653 |a postnatal VPA injection 
653 |a SAM 
653 |a gene expression 
653 |a nanostring 
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