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Given that the cancer is a result of interplay of various types of genetic changes, understanding of the role of somatic mutations in tumorigenesis is a complex problem in which different combinations of somatic variants affect different network of genes and associated pathways.
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This GWAS revealed associations of markers with multiple traits, which may indicate pleiotropy of one single tagged causal variant, LD between distinct causal variants affecting different traits, or genetic correlation among traits.
Thrombo inCode® (TiC) enables diagnosis of hereditary thrombophilia (by analysing genetic variants affecting different points of the blood coagulation cascade function, promoting the development of VTE) and is also a clinical genetic function for assessing the risk of VTE.
In the case of modularity, it means that among gene variants that affect different numbers of traits, those gene variants are selected which affect lower numbers of traits, as well as certain combinations of traits.
The variants found affect different miRNAs known to be involved in 57 diseases.
The site appears to affect different devices.
Interestingly, some variants affect the risk of different associated AIDs in opposite directions.
Using a pull-down assay, Olsen et al. (2014) demonstrated how different variants affect the binding of multiple regulatory proteins.
Thus, it will be interesting to determine how different BAF60 variants affect the activity of the Brg1 complex, its binding to muscle-specific transcription factors and effects on chromatin structure at native muscle promoters.
These variations will be helpful to understand genetic variations among different ethnic and racial backgrounds as well as how these variants affect drug metabolism [6, 7].
Sequence variants affecting phenotypes between different individuals were believed to be mostly due to small differences, such as single nucleotide polymorphisms (SNPs) [ 1- 4].
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