Evaluating NAT2PRED for inferring the individual acetylation status from unphased genotype data

BMC Medical Genetics

Table 1 Classification error rates of NAT2PRED in each geographic region^a.

	Classification error rate (%)
	Two acetylation phenotypes ^b	Three acetylation phenotypes ^c
Sub-Saharan Africa (n = 617)	6.81% [0-14%]	14.26% [0-30%]
Europe and North Africa (n = 4,391)	0.32% [0-1%]	0.98% [0-8%]
Central/South Asia (n = 757)	0.53% [0-1%]	3.57% [0-10%]
East Asia (n = 2,346)	0.09% [0-0.2%]	1.71% [0-8%]
America (n = 378)	0%	2.12% [0-3%]

Values are the classification error rates of NAT2PRED when all population samples within a geographic area were pooled into a single sample. The range of variation of the classification error rate across individual samples is indicated in square brackets.
^aSee Figure 1 for the population composition of each geographic area.
^bClassification error rate when two phenotypic classes are considered: slow vs. other acetylators (intermediate and rapid acetylators pooled together).
^cClassification error rate when three phenotypic classes are considered: slow, intermediate and rapid acetylators.

ISSN: 1471-2350