<!--#if expr="$title" --> <!--#echo var="title" --> <!--#else --> HIV Drug Resistance Database <!--#endif -->
Stanford University HIV Drug Resistance Database - A curated public database designed to represent, store, and analyze the divergent forms of data underlying HIV drug resistance.

MARVEL on RT mutations at position 116


HIVdb Algorithm: Comments & Scores
  • F116Y usually occurs in combination with the multinucleoside resistance mutations F77L and Q151M.

Mutation3TCFTCABCAZTD4TDDITDF
F116Y55101010105
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.

PosWTRTI Naive Persons NRTI (but no NNRTI) Treated Persons
A
5908
B
37841
C
11133
D
1662
F
1155
G
1327
AE
10363
AG
3907
 
A
285
B
4182
C
892
D
120
F
80
G
137
AE
342
AG
81
116 F    I 0.1      Y 0.4 Y 1.2 Y 0.8
L 0.1
Y 1.7
S 0.9
 Y 0.7 Y 1.5  
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.
MutationNRTINNRTINumSeqNumMut% Mutantp
F116I007975490.00 
F116I>=1>=03387640.000.820
F116IAZT>=04540  
F116IDDI>=0530  
F116ID4T>=0550  
F116IABC>=0480  
F116ID4T+3TC>=041480  
F116IAZT+3TC>=033030  
F116ID4T+DDI>=04740  
F116IAZT+DDI>=06940  
F116IABC+3TC>=04110  
F116ITDF+3TC>=013660  
F116ITDF+FTC>=05330  
MutationNRTINNRTINumSeqNumMut% Mutantp
F116L0079754110.00 
F116L>=1>=033876120.000.034
F116LAZT>=04540  
F116LDDI>=0530  
F116LD4T>=0550  
F116LABC>=0480  
F116LD4T+3TC>=0414810.000.903
F116LAZT+3TC>=0330310.000.975
F116LD4T+DDI>=047410.200.106
F116LAZT+DDI>=06940  
F116LABC+3TC>=04110  
F116LTDF+3TC>=013660  
F116LTDF+FTC>=05330  
MutationNRTINNRTINumSeqNumMut% Mutantp
F116S0079754110.00 
F116S>=1>=03387690.000.215
F116SAZT>=04540  
F116SDDI>=0530  
F116SD4T>=0550  
F116SABC>=0480  
F116SD4T+3TC>=041480  
F116SAZT+3TC>=0330310.000.975
F116SD4T+DDI>=04740  
F116SAZT+DDI>=06940  
F116SABC+3TC>=04110  
F116STDF+3TC>=013660  
F116STDF+FTC>=05330  
MutationNRTINNRTINumSeqNumMut% Mutantp
F116Y007975430.00 
F116Y>=1>=0338766952.000.000
F116YAZT>=04540  
F116YDDI>=0530  
F116YD4T>=0550  
F116YABC>=04812.000.000
F116YD4T+3TC>=04148982.300.000
F116YAZT+3TC>=03303160.400.000
F116YD4T+DDI>=0474132.700.000
F116YAZT+DDI>=0694152.100.000
F116YABC+3TC>=041140.900.000
F116YTDF+3TC>=0136650.300.000
F116YTDF+FTC>=053310.100.004
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.