Answer:
Explanation:
identifying common genetic variants underlying chronic non-communicable diseases, but have proved to be more difficult for acute infectious diseases that represent a substantial portion of the global disease burden and are most prevalent in tropical regions. This is partly due to the practical difficulties of establishing large sample collections and reliable phenotypic datasets in resource-constrained settings, but also theoretical and methodological challenges associated with the study of pathogenic diseases in populations with high levels of genetic diversity and population structure1,2,3. The Malaria Genomic Epidemiology Network (MalariaGEN) was established in 2005 to overcome these obstacles with standardized protocols, common phenotypic definitions, agreed policies for equitable data sharing and local capacity building for genetic data analysis, enabling large collaborative studies across different countries where malaria is endemic4.
Here we extend previous work by using data collected from 11 countries to perform a comprehensive GWAS of human resistance to severe malaria (SM)
The first one; a disturbance that transfers energy from one place to another
The evolutionary effects of the genetic drift are the greatest when the population is small.
In small populations, genetic drift can significantly change the frequencies of the alleles and affect the genetic structure of the population. In big populations, the effects of the genetic drift are small and insignificant.
Answer:
...a force acts upon it.
Explanation:
"An object in motion tends to stay in motion unless a force acts upon it."
This same rule implies to running water. Water typically runs from a higher place to a lower place with the usage of gravity (except for certain rare cases). Until there is something blocking (for example, a dam, or a let down in the steepness of the drop), the water will continue to move forward.
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