Sentence examples for analyses of complex diseases from inspiring English sources

These findings illustrate the importance of population-based reference cohorts for the interpretation of candidate pathogenic variants, even for analyses of complex diseases and de novo variation.

Limited access to biomaterials collected by individual laboratories and projects has presented a major roadblock in the past to genome-wide analyses of complex diseases, including gene discovery in sporadic ALS.

Effective analyses of these existing GWAS results will benefit post-GWAS study of SNP associations and improve genetic analyses of complex diseases.

The ultimate goal of systems-level analyses of complex diseases is to uncover information necessary to establish a correlation between disease phenotype, mRNA abundance, and the underlying DNA polymorphism or causal gene network.

The absence of any residual main effects at DQB1, HLA- B, and HLA- A make it unlikely that the observed association results from these loci despite their strong LD with HLA- C. As with all genetic analyses of complex diseases, our study has a number of limitations that need to be considered when evaluating its conclusions.

These analyses have provided valuable insights into the genetics of complex diseases; however, they typically detect only common, low-risk variants each with small effect and explain only a tiny proportion of disease heritability [ 4].

Among the phenomena reducing the power of these analyses, phenocopy level (PE) hampers very seriously the investigation of complex diseases, as well known in neurological disorders, cancer, and likely of primary importance in human ageing.

Gene- and pathway-based analyses also allow detection of additional genes that contribute to susceptibility of complex diseases that might be missed in single-SNP analysis.

In recent years, regulatory network analyses were brought into different biological contexts to further understand mechanism of complex diseases such as prostate cancer [ 9] and schizophrenia [ 10].

For complex diseases which affect multiple cellular processes, such analyses could identify targets which simultaneously regulate multiple processes and the development of complex diseases.

These sub-networks help to analyse the activity at various levels of specificity, especially in case of complex diseases where the main interest is to elucidate the coordination principle that controls the progression of the disease.