The implications of genetic factors in autism spectrum disorder and Alzheimer’s disease

Author(s):  
Ola M Eid ◽  
Maha M Eid
2018 ◽  
Vol 48 ◽  
pp. 117-130 ◽  
Author(s):  
Sarah Parisot ◽  
Sofia Ira Ktena ◽  
Enzo Ferrante ◽  
Matthew Lee ◽  
Ricardo Guerrero ◽  
...  

2019 ◽  
Vol 5 (4) ◽  
pp. 293-302 ◽  
Author(s):  
Lucy Barnard-Brak ◽  
David Richman ◽  
Zhanxia Yang

Purpose Autism spectrum disorder (ASD) is a lifelong disorder that requires intervention and support services for a growing geriatric population. The purpose of this paper is to examine the mean age at death of individuals with ASD and subsequent comorbidity with Alzheimer’s disease, and any form of dementia, as a whole and according to sex. Design/methodology/approach Data consisted of 1,754 individuals who had an ASD listed as one of the causes of deaths from the National Vital Statistics System with data from 1999 to 2015. In the current study, the authors present contradictory results with a mean age at death for individuals with ASD was 68 years by adjusting for changing prevalence rates. Findings Females with ASD had a higher mean age at death than males with ASD; consistent with the trend in the sex differences in the general population. The results of the current study also indicate that individuals with ASD were, in fact, less likely than the general population to have Alzheimer’s disease or a form of dementia. However, males with ASD were significantly more likely to have acquired Alzheimer’s disease or a form of dementia as compared to females with ASD. Originality/value Guan and Li (2017) reported a mean age at death of 36 years old for individuals with ASD, which was subsequently reported in the mass media, most notably CNN. The authors contend that this study provides a more accurate estimate mean age at death.


2018 ◽  
Vol 19 (9) ◽  
pp. 876-880 ◽  
Author(s):  
Athanasios Alexiou ◽  
Georgia Soursou ◽  
Nagendra Sastry Yarla ◽  
Ghulam Md Ashraf

2021 ◽  
Vol 292 ◽  
pp. 03062
Author(s):  
Siyang Wei ◽  
Zilan Xin ◽  
Yuankai Zhang

With the natural and social environment changing, people’s mental health is facing severe challenges. Many people are suffering from mental disorders in the present day. A large part of mental disorders can be linked with the nerve system. And nerve system disorders tend to be associated with the development of nerve systems. The gene and the environment can play an important role in the development of the body, and abnormal genes and detrimental environmental factors can contribute a lot to nerve system disorders. Previous research has studied the occurrence and gene-and-environmental impact of many nerve system disorders. Among them, this essay chooses three kinds of disorders: Alzheimer’s disease (AD), Phobia, and Autism Spectrum Disorder, which can cause a lot of trouble in people’s daily life. In this essay, we are to study the occurrence of some nerve systems’ disorders and hope to study the genetic and environmental contribution of these disorders. These three disorders gain a lot of attention as they are very common, and they can partly reflect the contribution of genes and the environment.


2019 ◽  
Vol 25 (10) ◽  
pp. 2556-2566 ◽  
Author(s):  
John P. Hegarty ◽  
Luiz F. L. Pegoraro ◽  
Laura C. Lazzeroni ◽  
Mira M. Raman ◽  
Joachim F. Hallmayer ◽  
...  

Abstract Atypical growth patterns of the brain have been previously reported in autism spectrum disorder (ASD) but these alterations are heterogeneous across individuals, which may be associated with the variable effects of genetic and environmental influences on brain development. Monozygotic (MZ) and dizygotic (DZ) twin pairs with and without ASD (aged 6–15 years) were recruited to participate in this study. T1-weighted MRIs (n = 164) were processed with FreeSurfer to evaluate structural brain measures. Intra-class correlations were examined within twin pairs and compared across diagnostic groups. ACE modeling was also completed. Structural brain measures, including cerebral and cerebellar gray matter (GM) and white matter (WM) volume, surface area, and cortical thickness, were primarily influenced by genetic factors in TD twins; however, mean curvature appeared to be primarily influenced by environmental factors. Similarly, genetic factors accounted for the majority of variation in brain size in twins with ASD, potentially to a larger extent regarding curvature and subcortical GM; however, there were also more environmental contributions in twins with ASD on some structural brain measures, such that cortical thickness and cerebellar WM volume were primarily influenced by environmental factors. These findings indicate potential neurobiological outcomes of the genetic and environmental risk factors that have been previously associated with ASD and, although preliminary, may help account for some of the previously outlined neurobiological heterogeneity across affected individuals. This is especially relevant regarding the role of genetic and environmental factors in the development of ASD, in which certain brain structures may be more sensitive to specific influences.


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