Raj Rajnarayanan Profile picture
Mar 26, 2022 29 tweets 25 min read Read on X
New #PANGO designations - BA.2.*

BA.2.4Alias of B.1.1.529.2.4, #Singapore lineage

BA.2.5Alias of B.1.1.529.2.5, lineage in #Portugal and other countries

BA.2.6Alias of B.1.1.529.2.6, lineage in #France and other countries

BA.2.7Alias of B.1.1.529.2.7, #USA lineage ImageImage
These are new designations - branching from the BA.2 subvariant

more to follow ..... will update key mutational differences and transmission advantage (if any)
BA.2.4 (aka B.1.1.529.2.4) | prevalent in Singapore

Key mutation: ORF6:M58K

COV-spectrum predicts a growth advantage of 14% over BA.2 and 46% over BA.1.1 in #Singapore

BA.2 and BA.1.1 are currently the dominant lineages in circulation in Singapore Image
BA.2.5 (aka B.1.1.529.2.5) | prevalent in #Portugal and other countries (mostly Europe)

Key mutation: ORF1ab:P1018S

COV-spectrum predicts a global growth advantage of 2% over BA.2 and 49% over BA.1.1 in the #World Image
BA.2.5 (BA.2 + orf1ab:P1018S) is clearly distinct from BA.2.1 (yellow), BA.2.2 (orange), BA.2.3 (lime green)

BA.2.5 (uploaded sample - rendered in green) Image
BA.2.6 (aka B.1.1.529.2.6) | prevalent in #France and other countries

Key mutation: ORF3a:D27H

COV-spectrum predicts a global growth advantage of 11% over BA.2 and 62% over BA.1.1 in the #World Image
BA.2.7 (aka B.1.1.529.2.7) | Prevalent in #USA and other countries

Key mutation: Orf1ab:T2124I or NSP3 mutation in the group 2 marker domain

COV-spectrum predicts a global growth advantage of 13% over BA.2 and 67% over BA.1.1 Image
Fully vaccinated individuals are better protected than the unvaccinated

Get #Boosted ASAP (especially >65 yr old; immune compromised)

Several of the current therapeutics should work - (#bebtelovimab, #paxlovid)

NPIs if you are in a hotspot
BA.2.8 (aka B.1.1.529.2.8) | Prevalent in #UnitedKingdom (#Scotland)

Key mutations: ORF3a: T9K and ORF3a: A31T

COV-spectrum predicts a global growth advantage of 34% over BA.2 and >100% over BA.1.1 Image
#NewCoV2Lineages #Alert

Two new BA.1 lineages added to the #PANGO collection

BA.1.18 (BA.1 + ORF1a:T1822I)
BA.1.19 (BA.1 + ORF1b:L2523F)

spotted by @CorneliusRoemer Image
Globally both BA.1.18 & BA.1.19 are tending down

BA.1.18:cov-spectrum.org/explore/World/…
(slight increase in #France (~3%) recently)

BA.1.19: cov-spectrum.org/explore/World/…
#OmicronUpdates #NewLineageAlerts

XM - New recombinant lineage designated -BA.1.1/BA.2 #Recombinant (Prevalent in Germany, Netherlands and other countries)

Spotted by @JosetteSchoenma

more info: github.com/cov-lineages/p… Image
#OmicronUpdates #NewLineageAlerts

BA.2.9 alias of B.1.1.529.2.9
BA.2.10 alias of B.1.1.529.2.10
BA.2.3.1 alias of B.1.1.529.2.3.1
BA.1.17.2 B.1.1.529.1.17.2 and
XN - BA.1*/BA.2 recombinant

#Pango #Designations Image
BA.2.3.1 (aka B.1.1.529.2.3.1) | Prevalent in #Japan
Key mutations: Spike: Q677E

COV-spectrum predicts a growth advantage of 15% over BA.2 and 59% over BA.1.1 in Japan

Spotted by Takashi Abe | github.com/cov-lineages/p… Image
BA.2.9 (aka B.1.1.529.2.9) | Prevalent in #Denmark and other countries

Current Hotspots: #Poland #Germany

Key mutations: ORF3a: H78Y

COV-spectrum predicts a global growth advantage of -3% over BA.2 and 35% over BA.1.1 Image
BA.2.9 (BA.2 + Orf3a:H78Y)

Spotted/Proposed by shay671, bitbyte2015, @JosetteSchoenma and @siamosolocani

github.com/cov-lineages/p…
BA.2.10 (aka B.1.1.529.2.10) | Prevalent in #India and other countries

Current Hotspots: #Australia #Singapore

Key mutations: ORF1b:S959P

COV-spectrum predicts a global growth advantage of -15% over BA.2 and 15% over BA.1.1 Image
BA.2.10 (BA.2 + orf1b:S959P)

Designation proposed by @CorneliusRoemer

github.com/cov-lineages/p…
#NewCoV2Lineages #Alert

BA.2.10.1Alias of B.1.1.529.2.10.1, Prevalent in #Singapore and other countries

BA.2.3.2Alias of B.1.1.529.2.3.2, Prevalent in #Vietnam and #Japan

Summary of PANGO designations: pango.network/summary-of-des… Image
BA.2.3.2 (aka B.1.1.529.2.3.2) | Prevalent in #Vietnam #Japan and other countries

Key mutations: E:S55F

COV-spectrum predicts a global growth advantage of 12% over BA.2 and 64% over BA.1.1

#PANGO designations: pango.network/summary-of-des… Image
BA.2.10.1 (aka B.1.1.529.2.10.1) | Prevalent in #Singapore and other countries

Key mutations: S:G798D

COV-spectrum predicts a growth advantage of 11% over BA.2 and 43% over BA.1.1 in Singapore

#PANGO designations: pango.network/summary-of-des… Image
#OmicronUpdates #NewLineageAlerts

BA.4 alias of BA.1.1.529.4
BA.5 alias of BA.1.1.529.5
BA.2.11 alias of BA.1.1.529.2.11
BA.2.12 alias of BA.1.1.529.2.12
BA.2.12.1 alias of BA.1.1.529.2.12.1

#Pango #Designations Image
These are new #PANGO designations - BA.4 & BA.5 have key signature mutations that warrants a good closer look...

BA.2.11, BA.2.12 & BA.2.12.1 are branching from the BA.2 subvariant

more to follow ..... will update key mutational differences and transmission advantage (if any)
BA.2.11 (aka B.1.1.529.2.11) | Prevalent in #France

Key mutations: ORF1a:S2519P+S:L452R

COV-spectrum predicts a global growth advantage of 55% over BA.2 and 149% over BA.1.1 (sample size is low - these numbers are not reliable yet)

Spotted by vthibault35

#PANGO issue: #491 Image
BA.2.12 (aka B.1.1.529.2.12) | Prevalent in #NorthAmerica, #Europe

Key mutations: Spike S704L

COV-spectrum predicts a global growth advantage of 3% over BA.2 and 47% over BA.1.1

Mutation spotted by
@nzm8qs, @CorneliusRoemer and others

#PANGO issue: #499 Image
BA.2.12.1 (aka B.1.1.529.2.12.1) | Prevalent in #UnitedStates

Key mutations: Spike S704L, L452Q

COV-spectrum predicts a global growth advantage of 32% over BA.2 and 105% over BA.1.1

Mutation spotted by @nzm8qs and others

#PANGO issue: #499 Image
BA.5 (aka B.1.1.529.5) | Prevalent in #SouthAfrica

Key mutations: Spike L452R, F486V, 493Q-reversion; M:D3N

COV-spectrum predicts a significant growth advantage over BA.1*/2* (sample size is low - these numbers are not reliable yet)

#PANGO issue: github.com/cov-lineages/p… Image
BA.4 (aka B.1.1.529.4) | Prevalent in #SouthAfrica

Key mutations: Spike L452R, F486V, 493Q-reversion; N:P151S

COV-spectrum predicts a significant growth advantage over BA.1*/2* (sample size is low - these numbers are not reliable yet)

#PANGO issue: github.com/cov-lineages/p… Image
Test positivity in #SouthAfrica is 5.8%

No significant increase in Hospitalizations or deaths
nicd.ac.za/diseases-a-z-i…

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More from @RajlabN

Apr 16
#COVID19 #VariantDashboard - #USA | 04/16/24

#SARSCoV2 #Lineages #30DAYTRENDS

JN.1 (24.7%)
JN.1.4 (13.3%)
JN.1.7 (9.8%)
JN.1.8.1 (5.6%)
KP.2 (4.6%)
JN.1.18 (3.5%)
KQ.1 (3%)
JN.1.13.1 (2.6%)
JN.1.4.5 (2.6%)
JN.1.32 (2.3%)

Tracker:
1/ntinyurl.com/mryj4uu7
Sequence count by US States

A total of 1509 sequences were submitted with specimen collection dates on or after 03/16/2024 (of which 69 (~4.6%) were collected via airport surveillance)

2/n Image
It's getting difficult to separate GBW airport vs baseline screening

#30DayTrends GBW uploaded 275 sequences
out of which 69 airport seqs & 206 baseline surveillance seqs

Here is a detailed account of their surveillance efforts



3/n public.tableau.com/app/profile/ra…
Image
Read 4 tweets
Apr 14
Tracking #SARSCoV2 #Lineages - Globally |04/13/24

Top lineages -#30DayTrends (#G30):

JN.1 (27.7%)
JN.1.4 (15%)
JN.1.7 (9%)
JN.1.18 (4.3%)
KP.2 (3.4%)
JN.1.8.1 (3.3%)
JN.1.32 (3.1%)
JN.1.16 (2.8%)
JN.1.4.3 (2.7%)
JN.1.11.1 (2%)

Track:

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

JN.1* is still the dominant group of lineages in the world.

This analysis includes #SARSCoV2 sequences submitted to @GISAID with sample collection dates on or after 03/14/2024 (6,157 sequences)

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

Closely looking at JN.1* with #FLiRT mutations (S:R346T & S:F456L) & #FLiRTTI ( #FLiRT + T572I)!


3/n public.tableau.com/app/profile/ra…
Image
Read 6 tweets
Apr 12
#SARSCoV2 #VariantProportions - #USA |04/12/24

@CDCgov #Nowcast 2-Week estimates

JN.1* is still the dominant circulating group of lineages

Expected JN.1.11.1* sub-lineages (KP*) and others with #FLiRT mutations to feature in the dashboard



1/n covid.cdc.gov/covid-data-tra…
Image
#FLiRT lineages are growing 👀

Nearly 20% of JN.1.13 (listed in CDC dashboard) is KS.1 (JN.1.13.1.1; not separated from the parent lineage yet)

and 55% of JN.1.16 is JN.1.16.1

Both KS.1 and JN.1.16.1 are #FLiRT lineages

2/n
Consistent with #VariantDashboard #30DayTrends #USA



3/n
Read 4 tweets
Apr 7
Tracking #SARSCoV2 #Lineages - Globally |04/06/24

Top lineages -#30DayTrends (#G30):

JN.1 (31%)
JN.1.4 (16.6%)
JN.1.7 (8%)
JN.1.18 (4%)
JN.1.32 (3.3%)
JN.1.8.1 (3.1%)
KP.2 (2.4%)
JN.1.4.3 (2.3%)
JN.1.1 (2%)
JN.1.39 (1.9%)

Track:

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

JN.1* is still the dominant group of lineages in the world.

This analysis includes #SARSCoV2 sequences submitted to @GISAID with sample collection dates on or after 03/07/2024 (6,619 sequences)

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

Closely looking at JN.1* with #FLiRT mutations (S:R346T & S:F456L) & #FLiRTTI ( #FLiRT + T572I)!


3/n public.tableau.com/app/profile/ra…
Image
Read 6 tweets
Apr 5
#H5N1 Clade 2.3.2.1c - #Vietnam

New sequence from Khanh Hoa has intriguing #avianflu reassortment and PB2-E627K mammalian adaptation signature.

PB2-E627K was absent in previously submitted avian sequences.

Case description: fao.org/vietnam/news/d…
Image
more information on H5N1 Clade 2.3.2.1c from @WHO

who.int/emergencies/di…
Case description Image
Read 5 tweets
Apr 3
H5N1 Update | Avian Flu Clade 2.3.4.4b

Looked at the newly uploaded Human Sequence (ID: 19027114) from Texas

- PB2 contains 👀E627K 👀

in addition to the mutations found in the dairy cattle and wild bird sequences uploaded earlier (used #Fluserver for mutational analysis)
Image
Thanks to the labs that are testing, rapidly sequencing and submitting data to public databases (GISAID and others)!
.@PeacockFlu talked about host adaptation signatures in @ScienceMagazine

H/T @kakape

science.org/content/articl…
Read 7 tweets

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