Table 1.
What accounts for the genetic ‘dark matter’ in cancer studies?a
Reason | Ability of the different study designs to address these reasons |
||
---|---|---|---|
Population-based case-control studies |
Family-based association studies |
Genetic linkage studies in pedigrees |
|
Biased phenotype definition and ascertainment |
Modest and/or Poor b |
Good and/or Modest b |
Good and/or Modest b |
Insufficient sample size resulting in low power |
Good | Modest | Poor |
Epistatic (gene–gene) interactions |
Modest c | Modest c | Good and/or Modest c |
Gene–environment interactions |
Poor | Modest c | Good and/or Modest c |
Differential effects in different populations |
Poor | Poor | Good |
Incomplete genome coverage for common variants |
Good | Good | Good and/or Modest d |
Effects of rare alleles | Poor | Poor | Good |
Parent-of-origin specific effects |
Poor | Good and/or Poor | Good |
Potential reasons explaining the genetic dark matter and the ability of different study designs to address them.
Dependent on the type of cancer and on clinical/pathological ascertainments that are carried out; some types of cancers, e.g., liver cancer, are particularly prone to misclassification if histology of the tumor samples are not available, since the liver is a common site of cancer.
Dependent on the strength of the interaction, here for relatively strong interactions.
In pedigree studies, the reduced numbers of genetic recombinations determine a high number of redundant co-segregating genetic markers and, thus, high-density coverage by SNP-arrays does not allow fine mapping.