Mutation ARV - Evidence

HOME Genotype-Rx Genotype-Pheno Genotype-Clinical hivdb program

MARVEL on RT mutations at position 118

HIVdb Algorithm: Comments & Scores

V118I occurs in ~2% of untreated persons and with increased frequency in persons receiving multiple NRTIs. It causes low-level resistance to 3TC and possibly to other NRTIs when present with E44A/D and/or one or more TAMs.

Mutation	3TC	FTC	ABC	AZT	D4T	DDI	TDF
V118I	5	5	2	2	2	2	2

Footnote:Mutation scores on the left are derived from published literature linking mutations and ARVs (the complete details can be found in the HIVdb Release Notes).

Genotype-treatment correlation

Mutation frequency according to subtype and drug-class experience.

The frequency of each mutation at position 118 according to subtype and drug-class experience. Data are shown for the 8 most common subtypes. The number of persons in each subtype/treatment category is shown beneath the subtype. Mutations occurring at a frequency >0.5% are shown. Each mutation is also a hyper-link to a separate web page with information on each isolate, including literature references with PubMed abstracts, the GenBank accession number, and complete sequence and treatment records.

Pos	WT	RTI Naive Persons								NRTI (but no NNRTI) Treated Persons
Pos	WT	A 3214	B 22121	C 7684	D 1183	F 678	G 1313	AE 3424	AG 2589	A 172	B 3960	C 288	D 126	F 83	G 142	AE 325	AG 75
118	V	I ^1.7	I ^3.0	I ^2.3	I ^3.4	I ^2.8	I ^1.5	I ^1.1	I ^0.7	I ^2.4	I ¹²	I ^7.2	I ¹¹	I ^6.6	I ^2.2	I ¹¹	I ^5.4
Footnote: The query page Mutation Prevalence According to Subtype and Treatment to examine the frequency of all mutations according to subtype and treatment; The program HIVSeq provides similar output for mutations in user-submitted sequences; A complete description of the program that generates these tables can be found at Rhee et al AIDS 2006.

Mutation frequency according to treatment with individual ARVs.

The first row shows the frequency of the mutation in persons who are RTI-naive (indicated in green). The second row shows the frequency of the mutation in persons who have received one or more NRTIs (+/- NNRTIs). The following rows show the frequency of the mutation in persons who have received only a single NRTI. Mutation rates that differ significantly between treated and untreated isolates are indicated in yellow.

Mutation	NRTI	NNRTI	NumSeq	NumMut	% Mutant	p
V118A	0	0	40259	13	0.00
V118A	>=1	>=0	17080	7	0.00	0.791
V118A	AZT	>=0	452	0
V118A	DDI	>=0	53	0
V118A	D4T	>=0	55	0
V118A	ABC	>=0	45	0
V118A	D4T+3TC	>=0	2251	3	0.10	0.065
V118A	AZT+3TC	>=0	1969	0
V118A	D4T+DDI	>=0	460	0
V118A	AZT+DDI	>=0	510	0
V118A	ABC+3TC	>=0	26	0
V118A	TDF+3TC	>=0	94	0
V118A	TDF+FTC	>=0	24	0

Mutation	NRTI	NNRTI	NumSeq	NumMut	% Mutant	p
V118C	0	0	40259	5	0.00
V118C	>=1	>=0	17080	6	0.00	0.143
V118C	AZT	>=0	452	0
V118C	DDI	>=0	53	0
V118C	D4T	>=0	55	0
V118C	ABC	>=0	45	0
V118C	D4T+3TC	>=0	2251	2	0.00	0.057
V118C	AZT+3TC	>=0	1969	3	0.10	0.000
V118C	D4T+DDI	>=0	460	0
V118C	AZT+DDI	>=0	510	0
V118C	ABC+3TC	>=0	26	0
V118C	TDF+3TC	>=0	94	0
V118C	TDF+FTC	>=0	24	0

Mutation	NRTI	NNRTI	NumSeq	NumMut	% Mutant	p
V118I	0	0	40259	1100	2.70
V118I	>=1	>=0	17080	3264	19.10	0.000
V118I	AZT	>=0	452	12	2.60	0.964
V118I	DDI	>=0	53	2	3.70	0.964
V118I	D4T	>=0	55	1	1.80	1.000
V118I	ABC	>=0	45	2	4.40	0.805
V118I	D4T+3TC	>=0	2251	121	5.30	0.000
V118I	AZT+3TC	>=0	1969	80	4.00	0.001
V118I	D4T+DDI	>=0	460	47	10.20	0.000
V118I	AZT+DDI	>=0	510	85	16.60	0.000
V118I	ABC+3TC	>=0	26	2	7.60	0.343
V118I	TDF+3TC	>=0	94	1	1.00	0.500
V118I	TDF+FTC	>=0	24	0

Footnote: About one-half of the untreated isolates belong to non-subtype B isolates; About 20% of the treated isolates belong to non-subtype B isolates; A page containing summaries for all of the mutations at this position can be found here.

Genotype-phenotype correlation

Phenotypes of top 10 common patterns of drug resistance mutations with mutations at position 118.

Mutation pattern data is not available for V118.

A complete summary of additional in vitro susceptibility data for viruses with V118 obtained using other assays including the Antivirogram can be found here.

Phenotypic coefficients using machine learning

Least Square Regression (LSR) was used to learn the relative contribution of each mutation to the fold decrease in susceptibility for an ARV. The figure on the left (click to enlarge the figure) shows the regression coefficients (which correlate with the contribution to resistance) for the 23 nonpolymorphic NRTI-resistance mutations shown to contribute decreased susceptibility to at least one NRTI. A complete description of the method that generates this figure can be found at Rhee et al PNAS 2006.

MARVEL on RT mutations at position 118

Database

Resources

Team