16. Gene-environment interaction in the determination of plasma fibrinogen levels

1996 ◽  
Vol 10 ◽  
pp. 5-6
Author(s):  
S.E. Humphries ◽  
F. Green ◽  
A. Thomas ◽  
H.E. Montgomery ◽  
A. Winder ◽  
...  
1997 ◽  
Vol 78 (01) ◽  
pp. 457-461 ◽  
Author(s):  
S E Humphries ◽  
A Panahloo ◽  
H E Montgomery ◽  
F Green ◽  
J Yudkin

1999 ◽  
Vol 82 (08) ◽  
pp. 818-825 ◽  
Author(s):  
Le-Anh Luong ◽  
Hugh Montgomery ◽  
Ian Day ◽  
Vidya Mohamed-Ali ◽  
John Yudkin ◽  
...  

IntroductionThis review will focus on the inflammatory risk factors that may influence changes in plasma fibrinogen levels and that may influence an individual’s risk of ischemic heart disease (IHD). These inflammatory risk factors occur to a different extent in individuals as their environment changes. Although a specific genotype may be associated, in healthy subjects, with modest differences in levels of a risk factor for thrombosis, this effect may be larger or smaller in subgroups of subjects. Documenting such gene-environment interactions is important if genotype information is ever to be used in a clinical or diagnostic setting. Understanding the molecular mechanisms of such interactions is vital to the development of novel therapeutic approaches to reduce risk of myocardial infarction (MI).We review some of the gene-environment interactions detected to date for the G-455A β-fibrinogen gene promoter polymorphism. Carriers of the A allele, representing roughly 20% of the population, consistently have, on average, 7% to 10% higher fibrinogen levels than those with the genotype GG. Data will be presented to demonstrate interaction between situations of inflammatory stimulation (e.g., smoking habit, presence of ischemic disease, and level of physical exercise) in the determination of the magnitude of the effect of the A allele on plasma fibrinogen levels.The cytokine interleukin-6 (IL-6) is the likely link between inflammatory processes and IHD. Recently we have identified a functional G/C polymorphism at -174bp in the IL-6 promoter, with the G allele being a 2 to 4 times stronger promoter upon stimulation with interleukin-1 (IL-1) or lipopolysaccharide (LPS). In a small study of healthy subjects, the C allele was associated with significantly lower mean plasma levels of IL-6, an effect which may be protect against the development of IHD. Finally, we describe a rapid throughput genotyping method that is useful for large-scale genetic epidemiology studies.


1997 ◽  
Vol 11 ◽  
pp. 3-7 ◽  
Author(s):  
S.E. Humphries ◽  
A. Thomas ◽  
H.E. Montgomery ◽  
F. Green ◽  
A. Winder ◽  
...  

2020 ◽  
Vol 16 (5) ◽  
pp. 457-470 ◽  
Author(s):  
Mohammad H. Zafarmand ◽  
Parvin Tajik ◽  
René Spijker ◽  
Charles Agyemang

Background: The body of evidence on gene-environment interaction (GEI) related to type 2 diabetes (T2D) has grown in the recent years. However, most studies on GEI have sought to explain variation within individuals of European ancestry and results among ethnic minority groups are inconclusive. Objective: To investigate any interaction between a gene and an environmental factor in relation to T2D among ethnic minority groups living in Europe and North America. Methods: We systematically searched Medline and EMBASE databases for the published literature in English up to 25th March 2019. The screening, data extraction and quality assessment were performed by reviewers independently. Results: 1068 studies identified through our search, of which nine cohorts of six studies evaluating several different GEIs were included. The mean follow-up time in the included studies ranged from 5 to 25.7 years. Most studies were relatively small scale and few provided replication data. All studies included in the review included ethnic minorities from North America (Native-Americans, African- Americans, and Aboriginal Canadian), none of the studies in Europe assessed GEI in relation to T2D incident in ethnic minorities. The only significant GEI among ethnic minorities was HNF1A rs137853240 and smoking on T2D incident among Native-Canadians (Pinteraction = 0.006). Conclusion: There is a need for more studies on GEI among ethnicities, broadening the spectrum of ethnic minority groups being investigated, performing more discovery using genome-wide approaches, larger sample sizes for these studies by collaborating efforts such as the InterConnect approach, and developing a more standardized method of reporting GEI studies are discussed.


Author(s):  
Andrey Ziyatdinov ◽  
Jihye Kim ◽  
Dmitry Prokopenko ◽  
Florian Privé ◽  
Fabien Laporte ◽  
...  

Abstract The effective sample size (ESS) is a metric used to summarize in a single term the amount of correlation in a sample. It is of particular interest when predicting the statistical power of genome-wide association studies (GWAS) based on linear mixed models. Here, we introduce an analytical form of the ESS for mixed-model GWAS of quantitative traits and relate it to empirical estimators recently proposed. Using our framework, we derived approximations of the ESS for analyses of related and unrelated samples and for both marginal genetic and gene-environment interaction tests. We conducted simulations to validate our approximations and to provide a quantitative perspective on the statistical power of various scenarios, including power loss due to family relatedness and power gains due to conditioning on the polygenic signal. Our analyses also demonstrate that the power of gene-environment interaction GWAS in related individuals strongly depends on the family structure and exposure distribution. Finally, we performed a series of mixed-model GWAS on data from the UK Biobank and confirmed the simulation results. We notably found that the expected power drop due to family relatedness in the UK Biobank is negligible.


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