Table 1. Multivariable logistic regression model’s estimated coefficients and respective 95% confidence intervals.

	Variable	Coefficient estimate	Lower 95% CI	Upper 95% CI	P values
Modeling Mononucleotide STR	(Intercept)	0.48	0.38	0.59	<0.001
	Repeat units	0.12	0.05	0.19	<0.001
	GC_Diff	0.09	0.02	0.16	0.01
	Missingness	0.06	-0.01	0.12	0.1
	Mean_Posterior	0.81	0.70	0.92	<0.001
	Mean_stutter	-0.15	-0.24	-0.07	<0.001
	He	7.00	6.38	7.64	<0.001
	MeanHe	-3.87	-4.57	-3.17	<0.001
	MinimumHe	-0.81	-1.03	-0.57	<0.001
	MaximumHe	2.33	2.08	2.59	<0.001
Modeling Polynucleotide STR	(Intercept)	1.55	1.40	1.71	<0.001
	Length	-0.11	-0.18	-0.04	0.003
	Repeat units	0.16	0.06	0.26	0.001
	GC_Flank	0.11	0.05	0.17	<0.001
	Mean_Posterior	0.10	0.00	0.20	0.05
	Mean_Stutter	-0.11	-0.20	0.03	0.04
	He	10.20	9.02	11.41	<0.001
	MeanHe	-12.41	-13.73	-11.10	<0.001
	JostD	-1.10	-1.42	-0.75	<0.001
	MinimumHe	-0.48	-0.84	-0.12	0.009
	MaximumHe	7.02	6.52	7.52	<0.001

The model was fitted on the P. falciparum dataset.