2016
DOI: 10.3389/fpsyt.2016.00128
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Multivariate Imaging Genetics Study of MRI Gray Matter Volume and SNPs Reveals Biological Pathways Correlated with Brain Structural Differences in Attention Deficit Hyperactivity Disorder

Abstract: BackgroundAttention deficit hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder affecting children, adolescents, and adults. Its etiology is not well understood, but it is increasingly believed to result from diverse pathophysiologies that affect the structure and function of specific brain circuits. Although one of the best-studied neurobiological abnormalities in ADHD is reduced fronto-striatal-cerebellar gray matter (GM) volume, its specific genetic correlates are largely unknown.Method… Show more

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Cited by 23 publications
(22 citation statements)
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References 103 publications
(132 reference statements)
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“…Analyzing the effect of genes co-expressed with a gene of interest allows the integration of information on gene networks and the functional relationships between these genes (Silveira et al, 2017;Miguel et al, 2019). Multivariate approaches like parallel ICA (p-ICA) are used to identify relationships between clusters of functionally related SNPs that are statistically correlated and phenotype components, such as brain structure (Pearlson et al, 2015;Khadka et al, 2016). Studies have been using p-ICA to correlate biological pathways with variations in gray matter density, which represents an important tool to identify an anatomical-functional basis for a behavioral phenotype (Khadka et al, 2016;Miguel et al, 2019).…”
mentioning
confidence: 99%
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“…Analyzing the effect of genes co-expressed with a gene of interest allows the integration of information on gene networks and the functional relationships between these genes (Silveira et al, 2017;Miguel et al, 2019). Multivariate approaches like parallel ICA (p-ICA) are used to identify relationships between clusters of functionally related SNPs that are statistically correlated and phenotype components, such as brain structure (Pearlson et al, 2015;Khadka et al, 2016). Studies have been using p-ICA to correlate biological pathways with variations in gray matter density, which represents an important tool to identify an anatomical-functional basis for a behavioral phenotype (Khadka et al, 2016;Miguel et al, 2019).…”
mentioning
confidence: 99%
“…Multivariate approaches like parallel ICA (p-ICA) are used to identify relationships between clusters of functionally related SNPs that are statistically correlated and phenotype components, such as brain structure (Pearlson et al, 2015;Khadka et al, 2016). Studies have been using p-ICA to correlate biological pathways with variations in gray matter density, which represents an important tool to identify an anatomical-functional basis for a behavioral phenotype (Khadka et al, 2016;Miguel et al, 2019). Additionally, stressors in early life are known to alter the expression of genes and cellular processes that influence behavior, and one of the molecular processes that contributes to this change is DNA methylation (Vinkers et al, 2015;Hing et al, 2018).…”
mentioning
confidence: 99%
“…Given that complex phenotypes are likely to be influenced by numerous polymorphic genes of common pathways, gene-set analysis (GSA) has yielded important biological insights in IG (Hibar et al, 2011;Inkster et al, 2010;Vilor-Tejedor, Gonzalez, & Calle, 2015;Khadka et al, 2016;Lin, Calhoun, & Wang, 2014a;Mattingsdal et al, 2013;Mous et al, 2015;Pérez-Palma et al, 2014). GSA aggregates the association evidence across a set of SNPs into one combined test statistic, and then tests whether this statistic is larger than what would be expected by chance.…”
Section: Gene-set Analysismentioning
confidence: 99%
“…Functional connectivity of the putamen with the insula and parietal cortex is disrupted in youth with internet gaming disorder, a condition frequently comorbid with ADHD (Hong et al, ). In particular, ADHD is associated with reduction in GMV or lesions in the putamen (Ellison‐Wright, Ellison‐Wright, & Bullmore, ; Greven et al, ; Herskovits et al, ; Khadka et al, ; Luo, Mao, Shi, Wang, & Li, ; Max et al, ; Seidman et al, ; Sobel et al, ; Valera, Faraone, Murray, & Seidman, ; Xu et al, ). In healthy subjects, the right putamen is frequently smaller than left putamen (Wellington, Semrud‐Clikeman, Gregory, Murphy, & Lancaster, ); however, children with ADHD more frequently have a smaller left putamen than the right‐hemispheric counterpart; this reversal of symmetry may relate to ADHD symptomology (Wellington et al, ).…”
Section: Introductionmentioning
confidence: 99%