MAPD: Median of the Absolute values of all Pairwise Differences is a per-microarray estimate of variability, like standard deviation (SD) or interquartile range (IQR). It measures the variability in log2 ratios by looking at the pair difference of all probes and taking a median value. The effect of an occasional big difference in log2 ratios between probes is removed by taking a median value and not a mean. This variability can come from different sources:
Intrinsic variability in the starting material, hybridization cocktail preparation, microarray, or scanner.
Apparent variability induced by the fact that the reference may have systematic differences from the sample on this microarray. Regardless of the source of variability, increased variability decreases the quality of the CN calls. A high MAPD can be attributed to any of the above factors and indicates that CN calls may be inaccurate, leading to a higher false positive/negative rate.
SNPQC: This is a measure of how well genotype alleles are resolved in the microarray data. In other words, it estimates the distributions of homozygous AA, heterozygous AB, and homozygous BB alleles and calculates the distance between them. The better the separation of these distributions, the better the ability to identify a genotype based on its cluster position. The larger the difference between the peaks and the troughs, the better the resolution of homozygotes and heterozygotes and the higher the SNPQC metric is. If the three peaks are not well resolved, the difference between peaks and troughs will be low, resulting in a lower SNPQC value. A low SNPQC value indicates that quality of the SNP allele data is compromised, due to higher noise within the array, which compromises the overall quality and clarity of results.
Find additional tips, troubleshooting help, and resources within our Microarray Analysis Support Center.
Answer Id: E13996
Yes
No
Thank you for your response