Multi-omic latent variable data integration reveals multicellular structure pathways associated with resistance to tuberculin skin test (TST)/interferon gamma release assay (IGRA) conversion in Uganda

Table 1 Demographic data and group membership of subjects in input datasets

		TBI	RSTR	p-value^A
N subjects		15	18
Median Age at Enrollment (IQR)		15 (8.5)	12.5 (7.5)	0.277
Median Age at Sample Collection (IQR)		23 (4)	21.5 (7.5)	0.293
Sex, % Male (n/N)		66% (10/15)	39% (7/18)	0.215
Median BMI (IQR)^B		23.6 (4.0)	21.2 (6.6)	0.546
Median Exposure Score at Enrollment (IQR)		6 (1.5)	6 (1.0)	0.690
BCG scar, % Yes (n/N)^B		60% (9/15)	61% (11/18)	0.981
% HIV+		0	0
Relatedness Within Phenotype
	Mean 3° or Closer Per Person (SD)	0.53 (0.52)	0.33 (0.49)	0.263
	Mean 1° or Closer Per Person (SD)	0.13 (0.35)	0 (0)	0.126

^A P-values calculated by Wilcoxon rank-sum tests for continuous variables and Pearson’s chi-squared tests for categorical variables
^B NA values were present in these variables. For BMI, the one NA value was in the RSTR group and was excluded from summary statistics. In % BCG scar, the 9 NA values across groups (RSTR = 5, TBI = 4) were treated as a third group in addition to “Yes” and “No” for the statistical test

ISSN: 1471-2164