scholarly journals Etiologia genética do aborto recorrente / Genetic etiology of recurrent abortion

2021 ◽  
Vol 4 (6) ◽  
pp. 25673-25677
Author(s):  
Daniel Alencar De Araújo ◽  
Denise Teixeira Santos ◽  
Larisse Yara De Carvalho ◽  
Daniela Moura Parente
Genetics ◽  
2003 ◽  
Vol 163 (2) ◽  
pp. 833-835 ◽  
Author(s):  
J Kirsty Millar ◽  
Pippa A Thomson ◽  
Naomi R Wray ◽  
Walter J Muir ◽  
Douglas H R Blackwood ◽  
...  

2021 ◽  
Author(s):  
Abdullah Al Mutery ◽  
Mona Mahfood ◽  
Jihen Chouchen ◽  
Abdelaziz Tlili

Author(s):  
Nevena V. Radonjić ◽  
Jonathan L. Hess ◽  
Paula Rovira ◽  
Ole Andreassen ◽  
Jan K. Buitelaar ◽  
...  

AbstractGenomewide association studies have found significant genetic correlations among many neuropsychiatric disorders. In contrast, we know much less about the degree to which structural brain alterations are similar among disorders and, if so, the degree to which such similarities have a genetic etiology. From the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) consortium, we acquired standardized mean differences (SMDs) in regional brain volume and cortical thickness between cases and controls. We had data on 41 brain regions for: attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), epilepsy, major depressive disorder (MDD), obsessive compulsive disorder (OCD), and schizophrenia (SCZ). These data had been derived from 24,360 patients and 37,425 controls. The SMDs were significantly correlated between SCZ and BD, OCD, MDD, and ASD. MDD was positively correlated with BD and OCD. BD was positively correlated with OCD and negatively correlated with ADHD. These pairwise correlations among disorders were correlated with the corresponding pairwise correlations among disorders derived from genomewide association studies (r = 0.494). Our results show substantial similarities in sMRI phenotypes among neuropsychiatric disorders and suggest that these similarities are accounted for, in part, by corresponding similarities in common genetic variant architectures.


2014 ◽  
Vol 24 (2) ◽  
pp. 83-86 ◽  
Author(s):  
Janardan P. Pandey
Keyword(s):  

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