scholarly journals Threshold trait architecture of Hsp90-buffered variation

2015 ◽  
Author(s):  
Charles C Carey ◽  
Kristen F Gorman ◽  
Becky Howsmon ◽  
Charles Kooperberg ◽  
Aaron K Aragaki ◽  
...  

Common genetic variants buffered by Hsp90 are candidates for human diseases of signaling such as cancer. Like cancer, morphological abnormalities buffered by Hsp90 are discrete threshold traits with a continuous underlying basis of liability determining their probability of occurrence. QTL and deletion maps for one of the most frequent Hsp90-dependent abnormalities in Drosophila, deformed eye (dfe), were replicated across three genetically related artificial selection lines using strategies dependent on proximity to the dfe threshold and the direction of genetic and environmental effects. Up to 17 dfe loci (QTL) linked by 7 interactions were detected based on the ability of small recombinant regions of an unaffected and completely homozygous control genotype to dominantly suppress or enhance dfe penetrance at its threshold in groups of isogenic recombinant flies, and over 20 deletions increased dfe penetrance from a low expected value in one or more line, identifying a complex network of genes responsible for the dfe phenotype. Replicated comparisons of these whole-genome mapping approaches identified several QTL regions narrowly defined by deletions and 4 candidate genes, with additional uncorrelated QTL and deletions highlighting differences between the approaches and the need for caution in attributing the effect of deletions directly to QTL genes.

2014 ◽  
Vol 7 (1) ◽  
pp. 484 ◽  
Author(s):  
Basil Xavier ◽  
Julia Sabirova ◽  
Moons Pieter ◽  
Jean-Pierre Hernalsteens ◽  
Henri de Greve ◽  
...  

PLoS ONE ◽  
2013 ◽  
Vol 8 (6) ◽  
pp. e66493 ◽  
Author(s):  
Thijs Bosch ◽  
Erwin Verkade ◽  
Martijn van Luit ◽  
Bruno Pot ◽  
Paul Vauterin ◽  
...  

PLoS ONE ◽  
2013 ◽  
Vol 8 (9) ◽  
pp. e72657 ◽  
Author(s):  
Emmanuel Cornillot ◽  
Amina Dassouli ◽  
Aprajita Garg ◽  
Niseema Pachikara ◽  
Sylvie Randazzo ◽  
...  

PLoS ONE ◽  
2013 ◽  
Vol 8 (4) ◽  
pp. e61762 ◽  
Author(s):  
Fatma Onmus-Leone ◽  
Jun Hang ◽  
Robert J. Clifford ◽  
Yu Yang ◽  
Matthew C. Riley ◽  
...  

2012 ◽  
Vol 50 (11) ◽  
pp. 3526-3533 ◽  
Author(s):  
S. K. Shukla ◽  
M. Pantrang ◽  
B. Stahl ◽  
A. M. Briska ◽  
M. E. Stemper ◽  
...  

2016 ◽  
Author(s):  
Yanni Zeng ◽  
Pau Navarro ◽  
Charley Xia ◽  
Carmen Amador ◽  
Ana M. Fernandez-Pujals ◽  
...  

AbstractBackgroundBoth genetic and environmental contributions to risk of depression have been identified, but estimates of their effects are limited. Commonalities between major depressive disorder (MDD) and self-declared depression (SDD) are also unclear. Dissecting the genetic and environmental contributions to these traits and their correlation would inform the design and interpretation of genetic studies.MethodsUsing data from a large Scottish family-based cohort (GS:SFHS, N=21,387), we estimated the genetic and environmental contributions to MDD and SDD. Genetic effects associated with common genome-wide genetic variants (SNP heritability) and additional pedigree-associated genetic variation and Non-genetic effects associated with common environments were estimated using linear mixed modeling (LMM).FindingsBoth MDD and SDD had significant contributions from effects of common genetic variants, the additional genetic effect of the pedigree and the common environmental effect shared by couples. The correlation between SDD and MDD was high (r=1⋅00, se=0⋅21) for common-variant-associated genetic effects and moderate for both the additional genetic effect of the pedigree (r=0⋅58, se=0⋅08) and the couple-shared environmental effect (r=0⋅53, se=0⋅22).InterpretationBoth genetics and couple-shared environmental effects were the major factors influencing liability to depression. SDD may provide a scalable alternative to MDD in studies seeking to identify common risk variants. Rarer variants and environmental effects may however differ substantially according to different definitions of depression.FundingStudy supported by Wellcome Trust Strategic Award 104036/Z/14/Z. GS:SFHS funded by the Scottish Government Health Department, Chief Scientist Office, number CZD/16/6.


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