scholarly journals Using Genome Wide Estimates of Heritability to Examine the Relevance of Gene-Environment Interplay

2016 ◽  
Author(s):  
BENJAMIN W DOMINGUE ◽  
Jason D. Boardman

We use genome-wide data from the third generation respondents of the Framingham Heart Study to estimate heritability in body mass index using different quantities of the measured genotype. Heritability decreases rapidly when SNPs implicated by a genome-wide association study are removed but shows essentially no decline when SNPs implicated by a gene-environment interaction in a second genome-wide analysis are removed. This second result is highlighted by our additional finding that the SNPs which explain heritability amongst a subsample defined by higher educational attainment explain no heritability of the heritability in the lower education group, and vice-versa. Finally, we do find consistent heritability estimates when we compare family-based estimates versus those based on measured genotype.

2017 ◽  
Vol 19 (3) ◽  
pp. 237-245 ◽  

The majority of addictive disorders have a significant heritability—roughly around 50%. Surprisingly, the most convincing association (a nicotinic acetylcholine receptor CHRNA5-A3-B4 gene cluster in nicotine dependence), with a unique attributable risk of 14%, was detected through a genome-wide association study (GWAS) on lung cancer, although lung cancer has a low heritability. We propose some explanations of this finding, potentially helping to understand how a GWAS strategy can be successful. Many endophenotypes were also assessed as potentially modulating the effect of nicotine, indirectly facilitating the development of nicotine dependence. Challenging the involved phenotype led to the demonstration that other potentially overlapping disorders, such as schizophrenia and Parkinson disease, could also be involved, and further modulated by parent monitoring or the existence of a smoking partner. Such a complex mechanism of action is compatible with a gene-environment interaction, most clearly explained by epigenetic factors, especially as such factors were shown to be, at least partly, genetically driven.


2016 ◽  
Vol 34 (8) ◽  
pp. 863-870 ◽  
Author(s):  
Xuexia Wang ◽  
Can-Lan Sun ◽  
Adolfo Quiñones-Lombraña ◽  
Purnima Singh ◽  
Wendy Landier ◽  
...  

Purpose Interindividual variability in the dose-dependent association between anthracyclines and cardiomyopathy suggests that genetic susceptibility could play a role. The current study uses an agnostic approach to identify genetic variants that could modify cardiomyopathy risk. Methods A genome-wide association study was conducted in childhood cancer survivors with and without cardiomyopathy (cases and controls, respectively). Single-nucleotide polymorphisms (SNPs) that surpassed a prespecified threshold for statistical significance were independently replicated. The possible mechanistic significance of validated SNP(s) was sought by using healthy heart samples. Results No SNP was marginally associated with cardiomyopathy. However, SNP rs1786814 on the CELF4 gene passed the significance cutoff for gene-environment interaction (Pge = 1.14 × 10−5). Multivariable analyses adjusted for age at cancer diagnosis, sex, anthracycline dose, and chest radiation revealed that, among patients with the A allele, cardiomyopathy was infrequent and not dose related. However, among those exposed to greater than 300 mg/m2 of anthracyclines, the rs1786814 GG genotype conferred a 10.2-fold (95% CI, 3.8- to 27.3-fold; P < .001) increased risk of cardiomyopathy compared with those who had GA/AA genotypes and anthracycline exposure of 300 mg/m2 or less. This gene-environment interaction was successfully replicated in an independent set of anthracycline-related cardiomyopathy. CUG-BP and ETR-3-like factor proteins control developmentally regulated splicing of TNNT2, the gene that encodes for cardiac troponin T (cTnT), a biomarker of myocardial injury. Coexistence of more than one cTnT variant results in a temporally split myofilament response to calcium, which causes decreased contractility. Analysis of TNNT2 splicing variants in healthy human hearts suggested an association between the rs1786814 GG genotype and coexistence of more than one TNNT2 splicing variant (90.5% GG v 41.7% GA/AA; P = .005). Conclusion We report a modifying effect of a polymorphism of CELF4 (rs1786814) on the dose-dependent association between anthracyclines and cardiomyopathy, which possibly occurs through a pathway that involves the expression of abnormally spliced TNNT2 variants.


2012 ◽  
Vol 129 (3) ◽  
pp. 840-845.e21 ◽  
Author(s):  
Mark Granada ◽  
Jemma B. Wilk ◽  
Marina Tuzova ◽  
David P. Strachan ◽  
Stephan Weidinger ◽  
...  

2019 ◽  
Vol 15 ◽  
pp. P291-P292
Author(s):  
Donghe Li ◽  
John Farrell ◽  
Lindsay A. Farrer ◽  
Gyungah R. Jun ◽  
Sungho Won

2007 ◽  
Vol 8 (Suppl 1) ◽  
pp. S6 ◽  
Author(s):  
Joanne M Murabito ◽  
Carol L Rosenberg ◽  
Daniel Finger ◽  
Bernard E Kreger ◽  
Daniel Levy ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document