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Raj Rajnarayanan Profile picture
@RajlabN
Apr 20, 2023 • 9 tweets • 7 min read • Read on X
Scrolly
#VariantDashboard #India - #30DayTrends

Top lineages:

XBB.1.16 (62.8%)
XBB.1.16.1 (9.2%)
XBB.2.3 (7.8%)
XBB.1.16+NS3_V13L (4.7%)
XBB.1.5 (3.2%)
XBB.2.3.2 (3%)
XBB.1.9.1 (1.4%)
XBB.1 (1.3%)
XBB.2.3.4 (1.3%)

Tracker:public.tableau.com/app/profile/ra…

Updated: 04/19/23 Image
Granular details - #VariantDashboard #India - #30DayTrends

XBB.1.16* (76.6%) is still the dominant variant group in #India, followed by XBB.2.3* (14%)

Note: Data limited to few States that are sequencing and rapidly submitting data Image
#VariantDashboard #30DayTrends - #Delhi

XBB.1.16 (51.2%)
XBB.1.16+NS3_V13L (11.7%)
XBB.1.16.1 (9.6%)
XBB.2.3 (7.5%)
XBB.2.3.2 (4.7%)
XBB.1.5 (3.6%)
XBB.1.9.1 (2.8%) Image
#VariantDashboard #30DayTrends - #Gujarat

XBB.1.16 (66.7%)
XBB.2.3 (9.5%)
XBB.1.16.1 (9.2%)
XBB.2.3.2 (2.8%)
XBB.2.3.4 (2.5%)
XBB.1.5 (2.2%)
XBB.1.16+NS3_V13L (2%)
XBB.1 (1.7%) Image
#VariantDashboard #30DayTrends - #Maharashtra

XBB.1.16 (69.9%)
XBB.1.16.1 (8.6%)
XBB.1.5 (5.3%)
XBB.2.3 (4.7%)
XBB.1.16+NS3_V13L (2.4%)
XBB.2.3.2 (1.9%)
XBB.1.9.1 (1.3%)
XBB.2.3.3 (1.3%) Image
#VariantDashboard #30DayTrends - #Haryana

XBB.1.16 (59.6%)
XBB.2.3 (12.5%)
XBB.1.16.1 (8.8%)
XBB.1.16+NS3_V13L (5.2%)
XBB.2.3.2 (4.4%)
XBB.2.3.4 (1.5%) Image
#Delhi is a XBB.1.16 + NS3_V13L (ORF3a:V13L) hotspot Image
XBB.1.16 with NS3 V13L mutation (aka ORF3a V13L) has been proposed by @siamosolocani but has not been designated yet.

github.com/cov-lineages/p…
@Dagaz499

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More from @RajlabN

Raj Rajnarayanan Profile picture
Jun 19
#COVID19 #VariantDashboard - #USA | 06/18/24
#SARSCoV2 #Lineages #30DAYTRENDS

KP.2.3 (7.7%)
KP.2 (7.4%)
KP.3.1 (5%)
KP.3.3 (4.8%)
JN.1.16.1 (4.2%)
LB.1.7 (4%)
JN.1.16 (3.4%)
KP.1.1.1 (3.4%)
LB.1.3 (3.3%)
KP.2.2 (3.1%)
--
KP.3.1.1 (1.5%)👀


1/ntinyurl.com/mryj4uu7
You can filter spike mutations S31del, R346T, L455S, F456L, T572I (Top convergent mutations) to display #SLip, #FLiRT, #TiRT, #FLiRTTI, #DeFLiRT combo mutations; (Note: retired #FLip as of now)

Also, by state, lineage, collection date

2/n Image
#AirportSurveillance data - @CDCgov

Traveler Based Genomic Surveillance Program ( )

New: included "Travel history: Mediterranean Norwegian escape" use sampling strategy menu to display (a KP.5 and KP.2 is reported from WY)

3/n wwwnc.cdc.gov/travel/page/tr…
Image
Read 7 tweets
Raj Rajnarayanan Profile picture
Jun 9
Tracking #SARSCoV2 #Lineages - Globally |06/08/24

Top lineages -#30DayTrends (#G30)

KP.2.3 (8.7%)
KP.2 (8.7%)
KP.3.1 (7.7%)
KP.3 (6.2%)
KP.3.2 (5.1%)
LB.1 (5%)
KP.1.1 (4.9%)

Track:

1/n public.tableau.com/app/profile/ra…
Image
Granular details #Global #30DayTrends

KP.3* & KP.2* are the dominant group of lineages in the world.

This analysis includes #SARSCoV2 sequences submitted to @GISAID with sample collection dates on or after 05/09/2024 (8,025 sequences)

2/n Image
@GISAID You can filter spike mutations S31del, R346T, L455S, F456L, T572I (Top convergent mutations) to display #SLip, #FLiRT, #TiRT, #FLiRTTI, #DeFLiRT combo mutations; (Note: retired #FLip as of now)

4/n Image
Read 15 tweets
Raj Rajnarayanan Profile picture
Jun 5
#SARSCoV2 #VaccineAntigen Updates

Question before @US_FDA #VRBPAC committee:

For the 2024-2025 Formula of #COVID19 vaccines in the U.S., does the committee recommend a monovalent JN.1-lineage vaccine composition?

Watch:

1/n youtube.com/live/weaKQiFk_…
Image
Mutations of Interest on JN.1 background

JN.1 + F456L (FL) |JN.1.16 • JN.1.11.1
JN.1 + R346T (RT) |•JN.1.18 •JN.1.13.1 • KQ.1
JN.1 + R346T + F456L (#FLiRT) |•KP.2 • KP.1.1
JN.1 + R346T + F456L + T572I (#FLiRTTI) |• KZ.1.1.1
JN.1 + F456L + Q493E (#FLuQE) |• KP.3

2/n Image
from @Novavax presentation

JN.1 Vaccine Induces Broad Neutralizing Responses to All Subvariants Tested

3/n Image
Read 4 tweets
Raj Rajnarayanan Profile picture
Jun 5
#SARSCoV2 Updates

KP.3 group of lineages (as of 6/4/2024) Image
KP.2 (JN.1.11.1 w/ S:R346T) group of lineages (as of 6/4/2024) Image
JN.1* group swells to 266 (not counting recombinants)
Read 4 tweets
Raj Rajnarayanan Profile picture
May 18
Tracking #SARSCoV2 #Lineages - Globally |05/18/24

Top lineages -#30DayTrends (#G30)

KP.2 (12.7%)
KP.3 (11.6%)👀
JN.1.7 (6.9%)
JN.1 (6.8%)
JN.1.16 (5%)
JN.1.4 (4.9%)
JN.1.16.1 (4.6%)
KP.1.1 (3.6%)
KS.1 (2.8%)
JN.1.32 (2.7%)
LB.1 (2.7%)


1/npublic.tableau.com/app/profile/ra…
Granular details #Global #30DayTrends

KP* is the dominant group of lineages in the world.

This analysis includes #SARSCoV2 sequences submitted to @GISAID with sample collection dates on or after 04/18/2024 (6,469 sequences)

2/n Image
@GISAID Predicted Immune Escape vs ACE2 Binding Scores of circulating SARSCoV2 lineages (Relative to BA.2)



3/n public.tableau.com/app/profile/ra…
Image
Read 7 tweets
Raj Rajnarayanan Profile picture
May 6
#COVID19 #VariantDashboard - #USA | 05/05/24

#SARSCoV2 #Lineages #30DAYTRENDS

JN.1.7 (12%)
JN.1 (11.5%)
KP.2 (8.9%)
JN.1.4 (8.4%)
JN.1.13.1 (5.6%)
JN.1.8.1 (4.5%)
JN.1.18 (3.9%)
JN.1.16 (3.6%)
KQ.1 (2.8%)
JN.1.16.1 (2.7%)
KP.3 (2.2%)

||
1/ntinyurl.com/mryj4uu7
Sequence count by US States

A total of 1886 sequences were submitted with specimen collection dates on or after 04/04/2024 (of which 373 (~19.8%) were collected via airport surveillance)

2/n Image
Predicted #ImmuneEscape vs ACE2 Binding Scores (Relative to BA.2)



3/n public.tableau.com/app/profile/ra…
Image
Read 6 tweets

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