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The genotyping of insertion deletion polymorphisms (Indels) has gained importance in population studies and human identification over the last few years and so has the study of the X-chromosome markers.
The analysis of systems involving several variables is of great importance in population and quantitative genetics, for example, in multi-trait prediction of breeding values or in the study of networks using multi-locus data.
Thus many concepts that are of importance in population genetics are also pivotal for understanding cancer, including the distribution of mutational effects, epistasis and robustness of the various genes that are involved in producing cancer [ 192, 285, 286].
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This could be of paramount importance in populations that are at a higher risk of developing active TB, such as HIV-positive subjects, in communities with a high TB prevalence [27], subjects with rheumatoid arthritis [5], or patients for whom diagnosis of active TB and monitoring or treatment may be difficult, such as pediatric patients [26].
Time periods over which events take place are of prime importance in population-based case finding.
This issue is of particular importance in population-based studies because smoking and smoking cessation are characterized using low-cost straightforward approaches including few questions.
This is of particular importance in populations with increasing age [ 35].
Furthermore, it is not clear whether the factors leading to poor attainment of treatment targets in previous audits with older populations are of equal importance in our population.
New biomarkers are important for an early diagnosis and can have a prominent importance in neonatal population, in which UO can be increased by immature tubules and SCr can suffer maternal influence.
Local adaptation is of fundamental importance in evolutionary, population, conservation, and global-change biology.
Gliomas are among the biggest challenges in neurological and oncology rehabilitation and optimising treatment is of major clinical importance in this population.
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