An efficient method to handle the ‘large p, small n’ problem for genomewide association studies using Haseman–Elston regression

2016 ◽  
Vol 95 (4) ◽  
pp. 847-852 ◽  
Author(s):  
BUJUN MEI ◽  
ZHIHUA WANG
Keyword(s):  
Efficient Method ◽  
Association Studies ◽  
Large P Small N ◽  
Genomewide Association ◽  
Small N

scholarly journals Structural brain imaging studies offer clues about the effects of the shared genetic etiology among neuropsychiatric disorders

2021 ◽  
Author(s):  
Nevena V. Radonjić ◽  
Jonathan L. Hess ◽  
Paula Rovira ◽  
Ole Andreassen ◽  
Jan K. Buitelaar ◽  
...  
Keyword(s):  
Association Studies ◽  
Genetic Correlations ◽  
Neuropsychiatric Disorders ◽  
Brain Regions ◽  
Autism Spectrum ◽  
Genetic Etiology ◽  
Compulsive Disorder ◽  
Pairwise Correlations ◽  
Genomewide Association ◽  
Structural Brain

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.

scholarly journals Penalized orthogonal-components regression for large p small n data

2009 ◽  
Vol 3 (0) ◽  
pp. 781-796 ◽  
Author(s):  
Dabao Zhang ◽  
Yanzhu Lin ◽  
Min Zhang
Keyword(s):  
Large P Small N ◽  
Orthogonal Components ◽  
Small N

89 CROSS-DISORDER META-ANALYSIS OF GENOMEWIDE ASSOCIATION STUDIES SHEDS LIGHT INTO POTENTIALLY SHARED NEUROBIOLOGY ACROSS ADHD, ASD, OCD, AND TS

2019 ◽  
Vol 29 ◽  
pp. S109
Author(s):  
Zhiyu Yang ◽  
Hanrui Wu ◽  
Phil Lee ◽  
Fotis Tsetsos ◽  
Lea Davis ◽  
...  
Keyword(s):  
Association Studies ◽  
Meta Analysis ◽  
Genomewide Association
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