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
Keyword(s):  
Genetic Effects ◽  
Healthy Adults ◽  
Subcortical Volumes ◽  
Shared Genetic

scholarly journals Limited statistical evidence for shared genetic effects of eQTLs and autoimmune-disease-associated loci in three major immune-cell types

2017 ◽  
Vol 49 (4) ◽  
pp. 600-605 ◽  
Author(s):  
Sung Chun ◽  
Alexandra Casparino ◽  
Nikolaos A Patsopoulos ◽  
Damien C Croteau-Chonka ◽  
Benjamin A Raby ◽  
...  
Keyword(s):  
Autoimmune Disease ◽  
Immune Cell ◽  
Cell Types ◽  
Genetic Effects ◽  
Statistical Evidence ◽  
Shared Genetic

scholarly journals Heritability of leptin levels and the shared genetic effects on body mass index and leptin in adult Finnish twins

2001 ◽  
Vol 25 (1) ◽  
pp. 132-137 ◽  
Author(s):  
J Kaprio ◽  
J Eriksson ◽  
M Lehtovirta ◽  
M Koskenvuo ◽  
J Tuomilehto
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Genetic Effects ◽  
Shared Genetic

scholarly journals Shared genetic effects between hepatic steatosis and fibrosis: A prospective twin study

Hepatology ◽  
2016 ◽  
Vol 64 (5) ◽  
pp. 1547-1558 ◽  
Author(s):  
Jeffrey Cui ◽  
Chi-Hua Chen ◽  
Min-Tzu Lo ◽  
Nicholas Schork ◽  
Ricki Bettencourt ◽  
...  
Keyword(s):  
Hepatic Steatosis ◽  
Twin Study ◽  
Genetic Effects ◽  
Shared Genetic

scholarly journals Genome-wide association uncovers shared genetic effects among personality traits and mood states

2012 ◽  
Vol 159B (6) ◽  
pp. 684-695 ◽  
Author(s):  
Michelle Luciano ◽  
Jennifer E. Huffman ◽  
Alejandro Arias-Vásquez ◽  
Anna A.E. Vinkhuyzen ◽  
Christel M. Middeldorp ◽  
...  
Keyword(s):  
Personality Traits ◽  
Genetic Effects ◽  
Mood States ◽  
Genome Wide Association ◽  
Genome Wide ◽  
Shared Genetic

scholarly journals A systematic genetic analysis and visualization of phenotypic heterogeneity among orofacial cleft GWAS signals

2018 ◽  
Author(s):  
Jenna C. Carlson ◽  
Deepti Anand ◽  
Azeez Butali ◽  
Carmen J. Buxo ◽  
Kaare Christensen ◽  
...  
Keyword(s):  
Complex Traits ◽  
Cleft Lip ◽  
Cleft Lip And Palate ◽  
Expression Patterns ◽  
Complex Trait ◽  
Genetic Effects ◽  
Phenotypic Heterogeneity ◽  
New Associations ◽  
Orofacial Clefting ◽  
Shared Genetic

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.

scholarly journals Quantifying concordant genetic effects of de novo mutations on multiple disorders

2021 ◽  
Author(s):  
Hanmin Guo ◽  
Lin Hou ◽  
Yu Shi ◽  
Sheng Chih Jin ◽  
Xue Zeng ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
De Novo ◽  
Statistical Significance ◽  
Genetic Effects ◽  
Incomplete Penetrance ◽  
De Novo Mutations ◽  
Risk Genes ◽  
Fetal Tissues ◽  
Statistical Framework ◽  
Shared Genetic

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.

Shared Genetic Effects may Partially Explain Higher Depression and PTSD Prevalence Among Women Using Hormone Therapy (HT)

2021 ◽  
Vol 89 (9) ◽  
pp. S101-S102
Author(s):  
Laramie Duncan ◽  
Joeri Meijsen ◽  
Hanyang Shen ◽  
Mytilee Vemuri ◽  
Natalie Rasgon ◽  
...  
Keyword(s):  
Hormone Therapy ◽  
Genetic Effects ◽  
Ptsd Prevalence ◽  
Shared Genetic

scholarly journals Gene–Environment Interactions Between Depressive Symptoms and Smoking Quantity

2016 ◽  
Vol 19 (4) ◽  
pp. 322-329 ◽  
Author(s):  
Kaisu Keskitalo-Vuokko ◽  
Tellervo Korhonen ◽  
Jaakko Kaprio
Keyword(s):  
Depressive Symptoms ◽  
Population Based ◽  
Depression Score ◽  
Genetic Effects ◽  
Phenotypic Correlation ◽  
Environmental Correlations ◽  
Gene By Environment Interactions ◽  
Smoking Quantity ◽  
Genetic And Environmental Factors ◽  
Shared Genetic

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.

Investigation of shared genetic effects for psychotic and obsessive symptoms in young adult twins

2011 ◽  
Vol 188 (2) ◽  
pp. 276-282 ◽  
Author(s):  
Corrado Fagnani ◽  
Marcella Bellani ◽  
Michele Tansella ◽  
Matteo Balestrieri ◽  
Virgilia Toccaceli ◽  
...  
Keyword(s):  
Young Adult ◽  
Genetic Effects ◽  
Adult Twins ◽  
Shared Genetic
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