Limited evolution but increasing trends of primary non-nucleoside reverse transcriptase inhibitor...
-
Upload
independent -
Category
Documents
-
view
1 -
download
0
Transcript of Limited evolution but increasing trends of primary non-nucleoside reverse transcriptase inhibitor...
©2014 International Medical Press ISSN 1359-6535
Limited evolution but increasing trends of primary non-nucleoside reverse transcriptase inhibitor resistance mutations in therapy-naive HIV-1-infected individuals in India
Ujjwal Neogi, Soham Gupta, Riya Palchaudhuri, Shwetha D Rao, Suresh Shastri,Vishal Diwan, Ranbir S Laishram, Ayesha De Costa, Anita Shet Antiviral Therapy 2014; 10.3851/IMP2769 Submission date 2nd January 2014 Acceptance date 9th March 2014 Publication date 4th April 2014 For information about publishing your article in Antiviral Therapy go to http://www.intmedpress.com/index.cfm?pid=12
This provisional PDF matches the article and figures as they appeared upon acceptance. Copyedited and fully formatted PDF and full text (HTML) versions will be made available soon.
Publication: Antiviral Therapy; Type: Short communication
DOI: 10.3851/IMP2769
Short communication
Limited evolution but increasing trends of primary non-nucleoside reverse transcriptase inhibitor resistance mutations in therapy-naive HIV-1-infected individuals in India Ujjwal Neogi1,2*, Soham Gupta3, Riya Palchaudhuri3, Shwetha D Rao3, Suresh Shastri4,Vishal Diwan5, Ranbir S Laishram6, Ayesha De Costa7, Anita Shet3,8 1Hematology Research Unit, Division of Molecular Medicine, St John’s Research Institute, Bangalore, India
2Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm,
Sweden
3Division of Public Health and Infections, St John’s Research Institute, Bangalore, India
4National AIDS Control Organisation, New Delhi, India
5Department of Public Health and Environment, RD Gardi Medical College, Ujjain, India
6Department of Pediatrics, Regional Institute of Medical Science, Imphal, India
7Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
8Department of Pediatrics, St John’s Medical College Hospital, Bangalore, India
*Corresponding author e-mail: [email protected]
Abstract:
Background: After the rapid scale-up of antiretroviral therapy (ART) in resource-limited settings, surveillance of primary drug resistance mutations (DRMs) among ART-naïve individuals has important public health benefits. Although a highly successful national ART-program initiated by the Government of India exists, data on the prevalence of primary-DRMs is scarce. The objective of the study is to estimate the prevalence, pattern and spectrum of population-based primary-DRMs in therapy-naïve HIV-1 infected individuals using clinical strains and database sequences from seven HIV-prevalence states of India.
Methods: Drug resistance genotyping was performed on either plasma RNA or whole blood genomic DNA using a validated in-house method on 170 HIV-1 positive therapy-naïve individuals. An additional 679 database-derived sequences from four other states were included in the analysis. The WHO recommended list of mutations (SDRM_2009) for nucleoside reverse-transcriptase inhibitors (NRTI) and non-nucleoside reverse-transcriptase inhibitors (NNRTI) were used for interpretation of DRMs. Trends of primary DRMs before and after the ART roll-out were studied.
Results: The overall prevalence of primary-DRMs was 2.6% in the selected states of India when clinical isolates as well as database-derived sequences were combined. Common mutations included T69D, D67N (NRTI-mutations) and L100I, K101E, K103N and Y181C (NNRTI-mutations). There was a significant increase in NNRTI-mutations over time.
Conclusions: The overall DRMs prevalence in this study was low. However, an increasing trend in primary NNRTI-resistance was observed during the last decade.
Publication: Antiviral Therapy; Type: Short communication
DOI: 10.3851/IMP2769
Establishment of HIV-drug resistance threshold surveillance will be useful in understanding further trends of transmitted resistance.
Accepted 9 March 2014, published online 4 April 2014
Short Title: Prevalence of primary DRMs in India
Introduction
The management of human immunodeficiency virus (HIV) infection has progressed significantly since the
introduction of antiretroviral therapy (ART). Administration of ART durably suppresses HIV-replication and is
known to reduce both morbidity and mortality associated with HIV-infection. A roadblock in the success of
the ART is the emergence of drug resistance. Transmission of HIV-1 isolates with drug resistance mutations
(DRM) to the next generation of patients can negatively impact prevention programs and therapeutic
strategies. Thus surveillance of primary DRMs has important public health benefits since the rapid scale-up
of ART was associated with increase in transmitted DRMs (TDRMs). Since the inception of the National
AIDS Control Program in the year 2004 to provide free ART, India has observed a rapid scale-up of ART
access. In resource rich settings, routine primary drug resistance testing is standard practise for those who
are initiating therapy. However this is not a part of routine standard of care in resource limited settings like
India. Previous studies from India report a variable prevalence of first-line nucleoside reverse-transcriptase
inhibitors (NRTI) and non-nucleoside reverse-transcriptase inhibitors (NNRTI) related DRMs in therapy naïve
patients ranging between 1.6% and 38% [1–8]. As observed by our group and others, the use of different
DRM lists to evaluate the DRM can result in differing prevalences and can sometimes report falsely elevated
prevalence of DRM [9,10]. Additionally, the other factors were the regional variance of the sampling,
subtypes under study and naturally occurring polymorphisms in non-B subtypes. A decade after the ART roll-
out in India, there is still no archetypal data on primary-DRMs in therapy-naïve individuals.
In India, it is not practical to get large number of samples from newly diagnosed cases spanning
across the different geographical corners of the nation. Hence, we aimed to estimate the prevalence, pattern
and spectrum of population-based primary-DRMs in therapy-naïve HIV-1 infected individuals by using clinical
strains and sequences obtained from a secondary database. Compiling this information would be useful
nationally for the purpose of TDR surveillance [11].
Methods
Between 2010 and 2012, blood samples were collected from HIV-1 seropositive antiretroviral-naïve subjects
(n=178) hailing from four different sites in three states of India, including Karnataka (Bangalore and Mysore;
n=103), Manipur (Imphal; n=50) and Madhya Pradesh (Ujjain; n=25). Majority of the patients (64.6%) were
newly diagnosed within 3 months at the time of sample collection and 58% of the patients were initiating first-
line of therapy. Plasma viral RNA (for Karnataka samples) and whole blood genomic DNA (for Madhya
Pradesh and Manipur samples) was extracted from the blood fraction. In view of non-availability of cold chain
transport, whole blood genomic DNA was used for Madhya Pradesh and Manipur samples. Our previous
study has shown a high concordance in the primary DRM profile in both the plasma viral RNA and whole
blood genomic DNA in therapy-naïve patients. We therefore believe that samples from both compartments
can reliably detect DRM in therapy-naïve individuals.
Publication: Antiviral Therapy; Type: Short communication
DOI: 10.3851/IMP2769
Partial pol gene was amplified and sequenced and subjected for drug resistance genotyping using a
validated in-house method as described by us previously [9]. Subtyping was carried out using maximum
likelihood (ML) phylogenetic tree with GTR+G+I model using the Molecular Evolutionary Genetics Analysis
software version 5.05 (MEGA 5.05) [12] with the reference sequences of different subtypes (n=170)
downloaded from HIV Los Alamos Database (“LANL”, www.hiv.lanl.gov).The sequences that were not
clustered with pure subtypes were further analysed for recombination in Recombination Identification
program version 3 (RIP 3.0) (www.hiv.lanl.gov).
Partial pol sequences comprising at least 41 to 235 amino acids of reverse transcriptase (RT) region
from therapy-naïve individuals from previous studies [1–3,6,7,13–16] were downloaded from the LANL. Only
non-identical sequences (n=679), without any frame shift, stop codons and APOBEC restrictions were
included in the analysis. Database sequences belonged to individuals from four states of India including
Tamil Nadu (n=307), Andhra Pradesh (n=47), Maharashtra (n=280), Delhi (n=61).
Drug resistance genotyping were interpreted using mutation lists provided by World Health
Organization (WHO) recommendations for Surveillance of Drug Resistance Mutations updated in 2009
(SDRM_2009) [17]. Based on our recent finding of low level prevalence of T215S and L74I mutations in
therapy failure patients, we have excluded these two minor nucleoside reverse transcriptase inhibitors
(NRTI) mutations [9].
The study was approved by Institutional Ethical Review Board, St. John’s Medical College Hospital,
Bangalore, India. Written informed consent was obtained from all the study participants prior to recruitment.
Results
Of the 178 patient samples successful amplification and sequencing was done in 170 individual samples,
[Bangalore (n=51), Mysore (n=51), Imphal (n=47) and Ujjain (n=21)]. Patient characteristics are presented in
table 1. Among the primary clinical sequences, HIV-1 subtype C has the highest prevalence with 90%
(153/170) of the infection followed by subtype B (4.7%; 8/170); recombinant strains (URF_BC) (4.7%; 8/170)
and subtype A1 (0.6%; 1/170).
The overall prevalence of DRMs in the clinical samples from the three states was 3.5% (6/170).
Baseline DRM prevalence in Karnataka (Bangalore and Mysore), Manipur (Imphal) and Madhya Pradesh
(Ujjain) was 3.9%, 2.1% and 4.8% respectively (Table 2). The prevalence of NRTI-mutations was 1.2%
(2/170), consisting of T69D and D67N mutations. The prevalence of NNRTI-mutations was 2.3% (4/170) with
K101E, K103N, Y181C and L100I+K103N mutations (Table 2).
For DRM analysis we used the modified SDRM_2009 mutation list; which excluded the mutations
T215S and L74I, as these two mutations were present at <0.5% in failing patients in our study [9]. If we
included the T215S mutation (observed in two samples), this resulted in the prevalence of primary DRM in
the study population still below the threshold level of <5% (4.7%, 8/170).
We observed no significant association of baseline DRMs with individual clinical and demographic
factors. Analysis of the database-derived sequences (n=679), also identified low prevalence of NRTI-related
DRMs (1%; 7/679) and NNRTI-related DRMs (1.3%; 9/679) with an overall prevalence of 2.4% (16/679)
which was broadly uniform across the country.
Publication: Antiviral Therapy; Type: Short communication
DOI: 10.3851/IMP2769
Combining both the clinical and database-derived sequences, the prevalence of primary DRMs was
2.5% (22/849) with 1.1% (9/849) NRTI-mutations and 1.5% (13/849) NNRTI-mutations (Table 2). The overall
prevalence in all the seven states studied is below 5% (Figure 1A). Temporal analysis of the sequences
based on the timing of sample collection within specific time periods of 2004 (before the national ART roll-
out became widespread), 2005-2009 and 2010 (after rapid scale up of ART) years revealed a significant
increase in NNRTI mutations: from 0.9% (2005-2009) to 3.6% (2010) (p<0.05) (Figure 1B). The prevalence
of NRTI mutations was observed to be stable through these time periods.
Discussion
The results from our study indicate that despite an overall increase in primary DRM in naïve-patients from
1.5% to 4.5% over a period of 10 years, the overall prevalence was found to be low (<5%) in all the seven
states of the country under study including the five high prevalence states. In the absence of a nationwide
surveillance data of TDRMs in India, we can extrapolate that the national prevalence of TDRMs is below 5%
based upon our current data on primary DRM among the therapy-naïve population as suggested by a recent
study [11]. It is also to be noted that 65% of the individuals included in the study were newly diagnosed.
A recent review showed that the prevalence of TDRM is greater in resource-rich settings such as
Europe and North America (10.9% to 12.9%) compared to resource-limited settings (4.2% to 6.3%), where
ART was introduced later [18]. A meta-regression analysis estimated that in East Africa there was an
increase of TDRMs from 0.9% to 7.4%, 8 years after ART roll-out [19]. In India, previous studies on drug
resistance surveillance studies among recently diagnosed individuals from Kakinada, Mumbai and Northern
India showed <5% TDRM prevalence [1–3]. However, level of primary DRMs among the therapy naïve
individuals from different parts of India reported the prevalence as moderate (5 to 15%) [5–7,13–15]. In our
study, the overall prevalence of reverse transcriptase DRM for Indian strains from naïve patients was
determined to be 2.5% and most of our samples and sequences originated from the high HIV-prevalent
states of India. There was a gradual increase in DRM in therapy-naïve patients over the last decade yet the
overall prevalence was below the WHO threshold level of drug resistance (<5%). Our study also showed that
there was significant rise in NNRTI-mutations and not in the NRTI-mutations during the course of DRM
evolution over the past decade. Similar results have been obtained in another low and middle income
country, Argentina, where the NNRTI mutations was increased from 2.1% in 2003–2005 to 5.9% in 2010–
2011. The rise in NNRTI-mutation might be due to use of drug nevirapine (NVP) which is considered to be
the drug-of-choice in India in the past decade. Our previous study in this setting also proposed in favour of
efavirenz (EFV) as a first-line NNRTI choice in the country while re-examining the use of NVP. This is
because four out of ten individuals failing on NNRTI-based therapy, acquired cross-resistance to second
generation of NNRTIs like etravirine (ETR) probably due to the usage of NVP in our setting [20]. The higher
ART exposure in the period after the rapid scale up of ART in 2005 may also have led to the apparent higher
prevalence seen among the sequences obtained between 2005 and 2009.
Our study has some inadvertent limitations. First, in the present study the samples are restricted only
to seven high prevalent states of India. Excluding Manipur and Madhya Pradesh, majority of the
samples/sequences used in this study were obtained from urban-settings. The reasons for this being limited
logistic challenges and availability of the drug resistance genotyping in the big cities. Further, the therapy-
Publication: Antiviral Therapy; Type: Short communication
DOI: 10.3851/IMP2769
naïve status of the patients was as per the self-report by the patients. Thus the risk of undisclosed prior ART
use and can have potential impact on HIVDR prevalence estimates. Nevertheless, primary DRM was
observed to be <5%. And finally, there might be an inherent selection bias of the samples, specifically
between the recently diagnosed patients and chronically infected patients. However the strength of our study
are noteworthy, and trump the limitations. This study represents the first nationwide compilation of data on
primary DRM profile. Additionally for the first time we reported DRM profile from Manipur and Ujjain, Madhya
Pradesh, remote areas bereft of sophisticated laboratory facilities
In conclusion, our study demonstrates a significant increase in NNRTI-mutations over a decade
despite low (2.5%) baseline prevalence of drug resistance. Although the prevalence is low and reassuring,
the successful rapid scale-up of access to first-line ART in India warrants an urgent need to establish an on-
going system of HIVDR surveillance as per WHO guidelines for HIVDR “Early Warning Indicators”. A
capacity building program for regional drug resistance monitoring should be prioritised to implement the drug
resistance genotyping in the country. This will not only help us to track the level of TDR at the population
level, but will also assist in the optimisation of future therapeutic regimens.
Acknowledgements
Authors would like to thank staff of the respective sites for their support in the recruitment of participants in this study. A special thanks to the HIVIND study team and the patients. Authors would like to thank National AIDS Control Organization (NACO) and Karnataka State AIDS Prevention Society (KSAPS) for their generous support. The authors are also grateful to the Manipur Network of Positive People in northeast India for their support. The study has been partially supported by European Union Framework Program 7 (EU FP7).
Conflict of interest
None
References
1. Thorat SR, Chaturbhuj DN, Hingankar NK, et al. Surveillance of transmitted HIV type 1 drug resistance among HIV type 1-positive women attending an antenatal clinic in Kakinada, India. AIDS Res Hum Retroviruses 2011; 27:1291–1297.
2. Sinha S, Ahmad H, Shekhar RC, et al. Prevalence of HIV Drug Resistance Mutations in HIV Type 1 Isolates in Antiretroviral Therapy Naive Population from Northern India. Aids Res Treat 2012; 2012:905823.
3. Chaturbhuj DN, Hingankar NK, Srikantiah P, et al. Transmitted HIV drug resistance among HIV-infected voluntary counseling and testing centers (VCTC) clients in Mumbai, India. AIDS Res Hum Retroviruses 2010; 26:927–932.
4. Deshpande A, Jauvin V, Magnin N, et al. Resistance mutations in subtype C HIV type 1 isolates from Indian patients of Mumbai receiving NRTIs plus NNRTIs and experiencing a treatment failure: resistance to AR. AIDS Res Hum Retroviruses 2007; 23:335–340.
5. Arora SK, Gupta S, Toor JS, Singla A. Drug resistance-associated genotypic alterations in the pol gene of HIV type 1 isolates in ART-naive individuals in North India. AIDS Res Hum Retroviruses 2008; 24:125–130.
6. Lall M, Gupta RM, Sen S, Kapila K, Tripathy SP, Paranjape RS. Profile of primary resistance in HIV-1-infected treatment-naive individuals from Western India. AIDS Res Hum Retroviruses 2008; 24:987–990.
7. Iqbal HS, Solomon SS, Madhavan V, Solomon S, Balakrishnan P. Primary HIV-1 drug resistance and polymorphic patterns among injecting drug users (IDUs) in Chennai, Southern India. J Int Assoc Physicians AIDS Care (Chic) 2009; 8:323–327.
8. Deshpande A, Karki S, Recordon-Pinson P, Fleury HJ. Drug resistance mutations in HIV type 1 isolates from naive patients eligible for first line antiretroviral therapy in JJ Hospital, Mumbai, India. AIDS Res Hum Retroviruses 2011; 27:1345–1347.
Publication: Antiviral Therapy; Type: Short communication
DOI: 10.3851/IMP2769
9. Neogi U, Sahoo PN, De Costa A, Shet A. High viremia and low level of transmitted drug resistance in anti-retroviral therapy-naive perinatally-infected children and adolescents with HIV-1 subtype C infection. BMC Infect Dis 2012; 12:317.
10. Sungkanuparph S, Kiertiburanakul S, Sukasem C, Chantratita W. Discrepancies between WHO 2009 and IAS-USA 2009 lists for determining the rate of transmitted HIV-1 drug resistance: a prospective study. J Acquir Immune Defic Syndr 2012; 59:e3–e5.
11. Ragonnet-Cronin M, Lee BE, Plitt SS, et al. Baseline clinical HIV genotypes are a valid measure of transmitted drug resistance within the treatment-naive population. J Acquir Immune Defic Syndr 2013; 64:443–447.
12. Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S. MEGA5: Molecular Evolutionary Genetics Analysis Using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods. Mol Biol Evol 2011; 28:2731–2739.
13. Kandathil AJ, Kannangai R, Abraham OC, et al. The frequency of HIV-I drug resistance mutations among treatment-naive individuals at a tertiary care centre in south India. Int J STD AIDS 2009; 20:522–526.
14. Rajesh L, Karunaianantham R, Narayanan PR, Swaminathan S. Antiretroviral drug-resistant mutations at baseline and at time of failure of antiretroviral therapy in HIV type 1-coinfected TB patients. AIDS Res Hum Retroviruses 2009; 25:1179–1185.
15. Deshpande A, Recordon-Pinson P, Deshmukh R, et al. Molecular characterization of HIV type 1 isolates from untreated patients of Mumbai (Bombay), India, and detection of rare resistance mutations. AIDS Res Hum Retroviruses 2004; 20:1032–1035.
16. Sen S, Tripathy SP, Chimanpure VM, Patil AA, Bagul RD, Paranjape RS. Human immunodeficiency virus type 1 drug resistance mutations in peripheral blood mononuclear cell proviral DNA among antiretroviral treatment-naive and treatment-experienced patients from Pune, India. AIDS Res Hum Retroviruses 2007; 23:489–497.
17. Bennett DE, Camacho RJ, Otelea D, et al. Drug resistance mutations for surveillance of transmitted HIV-1 drug-resistance: 2009 update. PLoS ONE 2009; 4:e4724.
18. Frentz D, Boucher CA, van de Vijver DA. Temporal changes in the epidemiology of transmission of drug-resistant HIV-1 across the world. AIDS Rev 2012; 14:17–27.
19. Gupta RK, Jordan MR, Sultan BJ, et al. Global trends in antiretroviral resistance in treatment-naive individuals with HIV after rollout of antiretroviral treatment in resource-limited settings: a global collaborative study and meta-regression analysis. Lancet 2012; 380:1250–1258.
20. Neogi U, Shet A, Shamsundar R, Ekstrand ML. Selection of nonnucleoside reverse transcriptase inhibitor-associated mutations in HIV-1 subtype C: evidence of etravirine cross-resistance. AIDS 2011; 25:1123–1126.
Figure Legends:
Figure 1. Prevalence and trends of baseline DRM in India.
A. The prevalence distribution in study states was entered and a choropleth map was generated using ArcGIS® software (ESRI, NY, USA). (B). Trends of transmitted drug resistance over a period of 10 years. A total 849 patient samples and
database sequences collected in different time periods were included in the analysis. They were categorized based on
the year of sampling; 2004 (n=197), 2005-2009 (n=430) and 2010 (n=222). The DRM in the three time periods was 1.5%, 2.1% and 4.5% respectively, while NRTI was 1%, 1.2% and 0.9% respectively. The NNRTI mutations were 0.5%,
0.9% and 3.6% in 2004, 2005-2009, 2010. The p values between each time points were mentioned.
Publication: Antiviral Therapy; Type: Short communication
DOI: 10.3851/IMP2769
Table 1. Socio-demographic and clinical parameters of individuals included in this study
Bangalore (n=51)
Mysore (n=52)
Ujjain (n=25)
Imphal (n=50)
Age, mean (SD), years 40.5 (9.5) 35 (6) 30.5 (10.5) 35 (10.6)
Gender, No. (%) Male Female
33 (64.7%) 18 (35.3%)
33 (63.5%) 19 (36.5%)
13 (52%) 12 (48%)
44 (88%) 6 (12%)
Route of transmission, No. (%) Heterosexual Homosexual IVDU Vertical
51 (100%)
0 0 0
52 (100%)
0 0 0
22 (88%)
1 (4%) 0
2 (8%)
5 (10%)
0 44 (88%)
1 (2%)
Duration of sero-diagnosis, Median (IQR), days
18 (13-58) 14 (10-17) 66 (5-358) NA
CD4 cell count, Median (IQR), cells/mm
3
124 (71-238) 147 (83-228) 397 (191-566) 367 (298-550)
Viral Load, Mean (SD), Log copies/mL
5.62 (0.68) 5.63 (0.79) NA NA
Genotyping performed, No. (%) 51 (100%) 51 (98%) 21 (84%) 47 (94%)
HIV Subtype, No. (%) HIV-1C HIV-1 B HIV-1A1 Recombinants
51 (100%)
0 0 0
50 (98%)
0 1 (2%)
0
21 (100%)
0 0 0
31 (66%) 8 (17%)
0 8 (17%)
*NA- Not available
Publication: Antiviral Therapy; Type: Short communication
DOI: 10.3851/IMP2769
Table 2. Drug resistant mutation profile in clinical cohorts (Karnataka, Manipur and Madhya Pradesh) and database derived sequences (Andhra Pradesh, Tamil Nadu, Maharashtra and Delhi)
Mutations
Clinical Cohorts Database Sequences Total
Karnataka Manipur Madhya Pradesh
Andhra Pradesh
Tamil Nadu
Maharashtra New Delhi (n=849)
(n=102) (n=47) (n=21) (n=47) (n=303) (n=273) (n=56)
NRTI-Mutations 2 (1.9%) 0 0 0 2
(0.7%) 5 (1.8%) 0 9 (1.1%)
M41L 0 0 0 0 2
(0.7%) 0 0 2 (0.2%)
D67N 1 (1%) 0 0 0 0 1 (0.4%) 0 2 (0.2%)
T69D 1 (1%) 0 0 0 0 0 0 1 (0.1%)
M184V 0 0 0 0 0 2 (0.7%) 0 2 (0.2%)
K219R 0 0 0 0 0 1 (0.4%) 0 1 (0.1%)
M41L+M184V+T215Y
0 0 0 0 0 1 (0.4%) 0 1 (0.1%)
NNRTI-Mutations 2 (1.9%) 1 (2.1%) 1 (4.8%) 1 (2.1%) 2
(0.7%) 5 (1.8%)
1 (1.8%)
13 (1.5%)
K101E 1 (1%) 0 0 1 (2.1%) 0 0 0 2 (0.2%)
K103N/S 0 1 (2.1%) 0 0 0 2 (0.7%) 0 3 (0.4%)
V106M 0 0 0 0 0 2 (0.7%) 0 2 (0.2%)
Y181C 1 (1%) 0 0 0 1
(0.3%) 0 0 2 (0.2%)
G190A 0 0 0 0 1
(0.3%) 0
1 (1.8%)
2 (0.2%)
L100I+K103N 0 0 1 (4.8%) 0 0 0 0 1 (0.1%)
K103N+V106M 0 0 0 0 0 1 (0.3%) 0 1 (0.2%)
Overall 4 (3.9%) 1 (2.1%) 1 (4.8%) 1 (2.1%) 4
(1.3%) 10 (3.7%)
1 (1.8%)
22 (2.6%)