Mutation ARV - Evidence

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MARVEL on RT mutations at position 116

HIVdb Algorithm: Comments & Scores

F116Y increases multinucleoside resistance caused by Q151M when present with F77L or V75I; its effect in the absence of Q151M is not known.

Mutation	3TC	FTC	ABC	AZT	D4T	DDI	TDF
F116Y	5	5	10	10	10	10	5

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 116 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
116	F									Y ^1.2	Y ^1.3	Y ^2.2	S ^0.8 Y ^0.8		Y ^0.7	Y ^1.6
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
F116I	0	0	43342	8	0.00
F116I	>=1	>=0	17082	2	0.00	0.818
F116I	AZT	>=0	452	0
F116I	DDI	>=0	53	0
F116I	D4T	>=0	55	0
F116I	ABC	>=0	45	0
F116I	D4T+3TC	>=0	2251	0
F116I	AZT+3TC	>=0	1969	0
F116I	D4T+DDI	>=0	460	0
F116I	AZT+DDI	>=0	511	0
F116I	ABC+3TC	>=0	26	0
F116I	TDF+3TC	>=0	94	0
F116I	TDF+FTC	>=0	24	0

Mutation	NRTI	NNRTI	NumSeq	NumMut	% Mutant	p
F116L	0	0	43342	4	0.00
F116L	>=1	>=0	17082	6	0.00	0.060
F116L	AZT	>=0	452	0
F116L	DDI	>=0	53	0
F116L	D4T	>=0	55	0
F116L	ABC	>=0	45	0
F116L	D4T+3TC	>=0	2251	0
F116L	AZT+3TC	>=0	1969	1	0.00	0.535
F116L	D4T+DDI	>=0	460	1	0.20	0.050
F116L	AZT+DDI	>=0	511	0
F116L	ABC+3TC	>=0	26	0
F116L	TDF+3TC	>=0	94	0
F116L	TDF+FTC	>=0	24	0

Mutation	NRTI	NNRTI	NumSeq	NumMut	% Mutant	p
F116S	0	0	43342	8	0.00
F116S	>=1	>=0	17082	3	0.00	0.794
F116S	AZT	>=0	452	0
F116S	DDI	>=0	53	0
F116S	D4T	>=0	55	0
F116S	ABC	>=0	45	0
F116S	D4T+3TC	>=0	2251	0
F116S	AZT+3TC	>=0	1969	0
F116S	D4T+DDI	>=0	460	0
F116S	AZT+DDI	>=0	511	0
F116S	ABC+3TC	>=0	26	0
F116S	TDF+3TC	>=0	94	0
F116S	TDF+FTC	>=0	24	0

Mutation	NRTI	NNRTI	NumSeq	NumMut	% Mutant	p
F116Y	0	0	43342	3	0.00
F116Y	>=1	>=0	17082	416	2.40	0.000
F116Y	AZT	>=0	452	0
F116Y	DDI	>=0	53	0
F116Y	D4T	>=0	55	0
F116Y	ABC	>=0	45	0
F116Y	D4T+3TC	>=0	2251	63	2.70	0.000
F116Y	AZT+3TC	>=0	1969	7	0.30	0.000
F116Y	D4T+DDI	>=0	460	14	3.00	0.000
F116Y	AZT+DDI	>=0	511	15	2.90	0.000
F116Y	ABC+3TC	>=0	26	0
F116Y	TDF+3TC	>=0	94	0
F116Y	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 116.

Mutation pattern data is not available for F116.

A complete summary of additional in vitro susceptibility data for viruses with F116 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 116

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