Table 3 Six isoniazid resistance compensatory mutations derived from ahpC expression data and GeneXpert graded resistance-associated by regression

From: Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosis

Variant

WHO OR

ALL OR

MIC Coef.

Regression Grading

References

ahpC_c.-57C > T

1.16

1.17

0.05*

1) Assoc w R

GeneXpert

ahpC_c.-48G > A

1.17

1.16

0.02*

1) Assoc w R

ahpC Expression

ahpC_c.-52C > T

1.14

1.14

0.04*

1) Assoc w R

ahpC Expression

ahpC_c.-54C > T

1.12

1.13

0.03*

1) Assoc w R

ahpC Expression

ahpC_c.-76T > A

1.14

1.10

0.06*

1) Assoc w R

GeneXpert

ahpC_c.-72C > T

1.04

1.08

0.11

2) Assoc w R - Interim

ahpC Expression

  1. Variants are ordered by regression grading, then odds ratio in the ALL dataset, in decreasing order. *: ORs or coefficients NOT significant by the corresponding permutation tests. All six variants are graded “Uncertain” by SOLO and SOLO + GR. The small ORs of these mutations are consistent with indirect effects on INH resistance.
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