Quantitative genetic approaches may facilitate analysis under such genetic uncertainties, however, such approaches require some simplifying assumptions.
Although a substantial fraction of variation can be explained by limited numbers of large-effect genetic variants, uncertainty in successful predictions and overall cost-benefit ratios will make such tests elusive for everyday clinical use.
Polymerase chain reaction (PCR) techniques allow highly sensitive detection of specific DNA for diagnosis of infectious and genetic disease, but uncertainty relating to sensitivity and contamination has frequently resulted in controversy over results.
All genetic tests introduce uncertainty.
Robustness is the ability to resume reliable operation in the face of different types of perturbations: environmental and genetic changes, parameter uncertainty, and stochastic fluctuations [ 5- 8].
These limitations include (a) loss of sensitivity to detect rare genetic variants, (b) uncertainty in allele frequency estimations determined by the unequal representation of samples within the pool, and (c) loss of individual sequence data hampering direct genotype-phenotype associations.
In personal genome testing for multifactorial diseases, consumers or patients are confronted with a double uncertainty: genetic risks in themselves are probabilistic, and the clinical validity and utility of these risks are doubtful.
In spite of these uncertainties, genetic distances obtained from segregation analyses usually correlate well with the physical distances of the genetic markers 102, 105, 106.
Several methods have been recently proposed that take into account of genetic branch lengths, phylogenetic uncertainty, and branch length uncertainty for reconstructing distributional change through evolutionary time, using either maximum likelihood [ 49] or Bayesian inference [ 50].
(ii) Decisional conflict scale (DCS): This 10-item validated scale measures decisional conflict in relation to genetic testing choices, including uncertainty about alternatives, modifiable factors contributing to uncertainty, and perceptions of effectiveness of decision-making [ 32].
Many purposefully do not arrange for genetic testing because of uncertainty over the right way to proceed or to protect the information.
