scholarly journals Shared genetic effects of emotion and subcortical volumes in healthy adults

NeuroImage ◽  
2022 ◽  
pp. 118894
Author(s):  
Seung Yun Choi ◽  
Sang Joon Son ◽  
Bumhee Park
2017 ◽  
Vol 49 (4) ◽  
pp. 600-605 ◽  
Author(s):  
Sung Chun ◽  
Alexandra Casparino ◽  
Nikolaos A Patsopoulos ◽  
Damien C Croteau-Chonka ◽  
Benjamin A Raby ◽  
...  

2001 ◽  
Vol 25 (1) ◽  
pp. 132-137 ◽  
Author(s):  
J Kaprio ◽  
J Eriksson ◽  
M Lehtovirta ◽  
M Koskenvuo ◽  
J Tuomilehto

Hepatology ◽  
2016 ◽  
Vol 64 (5) ◽  
pp. 1547-1558 ◽  
Author(s):  
Jeffrey Cui ◽  
Chi-Hua Chen ◽  
Min-Tzu Lo ◽  
Nicholas Schork ◽  
Ricki Bettencourt ◽  
...  

2012 ◽  
Vol 159B (6) ◽  
pp. 684-695 ◽  
Author(s):  
Michelle Luciano ◽  
Jennifer E. Huffman ◽  
Alejandro Arias-Vásquez ◽  
Anna A.E. Vinkhuyzen ◽  
Christel M. Middeldorp ◽  
...  

2018 ◽  
Author(s):  
Jenna C. Carlson ◽  
Deepti Anand ◽  
Azeez Butali ◽  
Carmen J. Buxo ◽  
Kaare Christensen ◽  
...  

AbstractPhenotypic heterogeneity is a hallmark of complex traits, and genetic studies of such traits may focus on them as a single diagnostic entity or by analyzing specific components. For example, in orofacial clefting (OFC), three subtypes – cleft lip (CL), cleft lip and palate (CLP), and cleft palate (CP) have been studied separately and in combination. To further dissect the genetic architecture of OFCs and how a given associated locus may be contributing to distinct subtypes of a trait we developed a framework for quantifying and interpreting evidence of subtype-specific or shared genetic effects in complex traits. We applied this technique to create a “cleft map” of the association of 30 genetic loci with three OFC subtypes. In addition to new associations, we found loci with subtype-specific effects (e.g., GRHL3 (CP), WNT5A (CLP)), as well as loci associated with two or all three subtypes. We cross-referenced these results with mouse craniofacial gene expression datasets, which identified additional promising candidate genes. However, we found no strong correlation between OFC subtypes and expression patterns. In aggregate, the cleft map revealed that neither subtype-specific nor shared genetic effects operate in isolation in OFC architecture. Our approach can be easily applied to any complex trait with distinct phenotypic subgroups.


2021 ◽  
Author(s):  
Hanmin Guo ◽  
Lin Hou ◽  
Yu Shi ◽  
Sheng Chih Jin ◽  
Xue Zeng ◽  
...  

AbstractExome sequencing on tens of thousands of parent-proband trios has identified numerous deleterious de novo mutations (DNMs) and implicated risk genes for many disorders. Recent studies have suggested shared genes and pathways are enriched for DNMs across multiple disorders. However, existing analytic strategies only focus on genes that reach statistical significance for multiple disorders and require large trio samples in each study. As a result, these methods are not able to characterize the full landscape of genetic sharing due to polygenicity and incomplete penetrance. In this work, we introduce EncoreDNM, a novel statistical framework to quantify shared genetic effects between two disorders characterized by concordant enrichment of DNMs in the exome. EncoreDNM makes use of exome-wide, summary-level DNM data, including genes that do not reach statistical significance in single-disorder analysis, to evaluate the overall and annotation-partitioned genetic sharing between two disorders. Applying EncoreDNM to DNM data of nine disorders, we identified abundant pairwise enrichment correlations, especially in genes intolerant to pathogenic mutations and genes highly expressed in fetal tissues. These results suggest that EncoreDNM improves current analytic approaches and may have broad applications in DNM studies.


2021 ◽  
Vol 89 (9) ◽  
pp. S101-S102
Author(s):  
Laramie Duncan ◽  
Joeri Meijsen ◽  
Hanyang Shen ◽  
Mytilee Vemuri ◽  
Natalie Rasgon ◽  
...  

2016 ◽  
Vol 19 (4) ◽  
pp. 322-329 ◽  
Author(s):  
Kaisu Keskitalo-Vuokko ◽  
Tellervo Korhonen ◽  
Jaakko Kaprio

We investigated genetic and environmental correlations and gene by environment interactions (GxE) between depressive symptoms measured by the Beck Depression Inventory (BDI) and quantity smoked measured by number of cigarettes smoked per day (CPD) using quantitative genetic modeling. The population-based sample consisted of 12,063 twin individuals from the Finnish Twin Cohort Study. Bivariate Cholesky decomposition revealed that the phenotypic correlation (r = 0.09) between BDI and CPD was explained by shared genetic (rg = 0.18) and environmental (re = 0.08) factors. GxE models incorporating moderator effects were built by using CPD as trait and BDI as moderator and vice versa. The importance of the genetic variance component increased with increasing moderator value in both models. Thus, the influence of genetic effects on variance of smoking quantity was enhanced in individuals with elevated depression score and vice versa; the genetic effects on depression variance were potentiated among heavy smokers. In conclusion, shared genetic and environmental factors as well as GxE underlie the association of smoking with depression.


2011 ◽  
Vol 188 (2) ◽  
pp. 276-282 ◽  
Author(s):  
Corrado Fagnani ◽  
Marcella Bellani ◽  
Michele Tansella ◽  
Matteo Balestrieri ◽  
Virgilia Toccaceli ◽  
...  

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