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The current mutation

ID: V6387
DNA: 3768T>C
Protein: Y1256Y
Position: 4033








COV2Var annotation categories







Summary information of mutation (3768T>C)

Basic Information about Mutation.

  Gene Information   Gene ID   GU280_gp01_pp1a
  Gene Name   ORF1ab_pp1a
  Gene Type   protein_coding
  Genome position   4033
  Reference genome   GenBank ID: NC_045512.2
  Mutation type   synonymous_variant
  DNA Level   DNA Mutation: 3768T>C
  Ref Seq: T
  Mut Seq: C
  Protein Level   Protein 1-letter Mutation: Y1256Y
  Protein 3-letter Mutation: Tyr1256Tyr

Overview of the genomic positions of Mutation.
Note: The annotated 12 genes were retrieved from GeneBank (Accession: NC_045512.2). "MP" represents genomic position of mutation.





Analyzing the distribution of mutation (3768T>C) across geographic regions, temporal trends, and lineages

The count of genome sequences harboring this mutation and its distribution across global regions offer insights into regional variations.
Note: The distribution of mutation across 218 geographical regions. Color representation of genome sequence counts. The data is obtained from GISAID's metadata, specifically capturing the regional distribution of genomic sequences.



The dynamic count of genome sequences containing this mutation over time.
Note: Clicking the "Count" or "Cumulative Count" button toggles the view. Count represents the number of genome sequences per month. Cumulative count represents the accumulated total count up to the respective month. The data is obtained from GISAID's metadata, specifically capturing the collection date of genomic sequences.



For every time point represented in the graph above, identifying the top 3 lineages with the highest count of genome sequences carrying this mutation aids in pinpointing noteworthy lineages for further analysis.
Note: Users can filter the lineages by entering a "Year-Month" term in the search box. For example, entering 2020-01 will display lineages that appeared in January 2020. The data is obtained from GISAID's metadata, specifically capturing the collection date of genomic sequences.

Collection date Lineage Total lineage monthly counts Lineage-specific monthly counts Lineage-specific monthly frequency
2020-10 B.1.1 1 1 1.00e+0
2020-12 B.1.2 6 5 8.33e-1
2020-12 B.1.258 6 1 1.67e-1
2020-03 B.1.91 2 2 1.00e+0
2020-04 B.1.1 3 2 6.67e-1
2020-04 A 3 1 3.33e-1
2020-05 B.1.496 10 10 1.00e+0
2020-06 B.1.496 22 21 9.55e-1
2020-06 B.1.350 22 1 4.55e-2
2021-01 B.1.1.7 16 5 3.12e-1
2021-01 B.1.258 16 4 2.50e-1
2021-01 B.1.177.44 16 2 1.25e-1
2021-10 AY.3 54 16 2.96e-1
2021-10 AY.120 54 9 1.67e-1
2021-10 AY.4 54 8 1.48e-1
2021-11 AY.4 87 42 4.83e-1
2021-11 AY.120 87 16 1.84e-1
2021-11 AY.25.1 87 6 6.90e-2
2021-12 BA.1.15 54 14 2.59e-1
2021-12 AY.4 54 10 1.85e-1
2021-12 BA.1.1 54 10 1.85e-1
2021-02 B.1.177.60 10 5 5.00e-1
2021-02 B.1.258 10 3 3.00e-1
2021-02 B.1.234 10 1 1.00e-1
2021-03 B.1.1.7 18 13 7.22e-1
2021-03 B.1.177.60 18 4 2.22e-1
2021-03 B.1.637 18 1 5.56e-2
2021-04 B.1.1.7 13 12 9.23e-1
2021-04 B.1.617.2 13 1 7.69e-2
2021-05 P.1 76 33 4.34e-1
2021-05 B.1.617.2 76 18 2.37e-1
2021-05 B.1.1.7 76 13 1.71e-1
2021-06 B.1.617.2 86 45 5.23e-1
2021-06 P.1 86 14 1.63e-1
2021-06 P.1.10.2 86 14 1.63e-1
2021-07 B.1.617.2 34 17 5.00e-1
2021-07 AY.14 34 7 2.06e-1
2021-07 AY.122 34 3 8.82e-2
2021-08 AY.122 24 7 2.92e-1
2021-08 AY.120 24 5 2.08e-1
2021-08 P.1.12 24 3 1.25e-1
2021-09 AY.44 32 8 2.50e-1
2021-09 AY.120 32 6 1.88e-1
2021-09 AY.4 32 4 1.25e-1
2022-01 BA.1.1 47 21 4.47e-1
2022-01 BA.1.15 47 16 3.40e-1
2022-01 BA.1 47 2 4.26e-2
2022-10 BE.1 13 6 4.62e-1
2022-10 BQ.1.5 13 3 2.31e-1
2022-10 BA.5.2.24 13 1 7.69e-2
2022-11 BQ.1.5 63 23 3.65e-1
2022-11 BW.1 63 19 3.02e-1
2022-11 BE.1 63 8 1.27e-1
2022-12 BQ.1.5 79 46 5.82e-1
2022-12 BW.1 79 11 1.39e-1
2022-12 BQ.1.28 79 6 7.59e-2
2022-02 BA.1.1 35 11 3.14e-1
2022-02 BA.1.15 35 9 2.57e-1
2022-02 BA.2 35 8 2.29e-1
2022-03 BA.2 55 27 4.91e-1
2022-03 BA.2.9 55 18 3.27e-1
2022-03 BA.1.1 55 5 9.09e-2
2022-04 BA.2 52 41 7.88e-1
2022-04 BA.2.23 52 5 9.62e-2
2022-04 BA.2.1 52 2 3.85e-2
2022-05 BA.2.23 51 21 4.12e-1
2022-05 BA.2 51 19 3.73e-1
2022-05 BA.2.9 51 9 1.76e-1
2022-06 BA.2 16 13 8.12e-1
2022-06 BA.2.23 16 2 1.25e-1
2022-06 BA.5 16 1 6.25e-2
2022-07 BA.5.1.16 15 8 5.33e-1
2022-07 BA.5.1.19 15 2 1.33e-1
2022-07 BF.5 15 2 1.33e-1
2022-08 BE.1 13 5 3.85e-1
2022-08 BE.1.2 13 2 1.54e-1
2022-08 BA.5.1.3 13 1 7.69e-2
2022-09 BE.1 18 10 5.56e-1
2022-09 BZ.1 18 4 2.22e-1
2022-09 BF.5 18 3 1.67e-1
2023-01 XBB.1.5 38 11 2.89e-1
2023-01 BQ.1.5 38 10 2.63e-1
2023-01 BW.1 38 5 1.32e-1
2023-02 XBB.1.5 20 12 6.00e-1
2023-02 BQ.1.1.32 20 3 1.50e-1
2023-02 BW.1 20 2 1.00e-1

The count of genome sequences and the frequency of this mutation in each lineage.
Note: Displaying mutation frequencies (>0.01) among 2,735 lineages. Mutation Count represents the count of sequences carrying this mutation. Users can filter the lineages by entering a search term in the search box. For example, entering "A.1" will display A.1 lineages. The data is obtained from GISAID's metadata, specifically capturing the lineage of genomic sequences. Mutation count: Count of sequences carrying this mutation.

Mutation ID Lineage Mutation frequency Mutation count Earliest lineage emergence Latest lineage emergence
V6387 BW.1 5.05e-2 38 2022-1-3 2023-2-14
V6387 BQ.1.5 1.78e-2 82 2022-7-25 2023-2-21
V6387 B.1.496 9.39e-1 31 2020-3-15 2020-6-25
V6387 BZ.1 3.10e-2 4 2022-7-14 2022-10-19
V6387 P.1.10.2 1.00e+0 24 2021-5-17 2021-7-8






Examining mutation (3768T>C) found in abundant sequences of non-human animal hosts

Exploring mutation presence across 35 non-human animal hosts for cross-species transmission.
Note: We retained the mutation that appear in at least three non-human animal hosts' sequences. The data is obtained from GISAID's metadata, specifically capturing the host of genomic sequences.

Animal host Lineage Source region Collection date Accession ID




Association between mutation (3768T>C) and patients of different ages, genders, and statuses

Note: The logistic regression model was employed to examine changes in patient data before and after the mutation. The logistic regression model was conducted using the glm function in R. The data is obtained from GISAID's metadata, specifically capturing the patient status, gender, and age of genomic sequences.

Analyzing the association between mutation and patient status.
Note: we categorized the data into different patient statuses (ambulatory, deceased, homebound, hospitalized, mild, and recovered) based on GISAID classifications. In the analysis exploring the association between mutation and patient status, the model included mutation, patient status, patient age, gender, sequence region of origin, and sequence collection time point. In the 'increase' direction of the mutation, it means that when this mutation occurs, it increases the corresponding effect proportion. In the 'decrease' direction of the mutation, it means that when this mutation occurs, it decreases the corresponding effect proportion. A p-value lower than 0.001 signifies a notable differentiation between the population with and without the mutation.

Attribute Effect Estimate SE Z-value P-value Direction
Patient status Ambulatory -1.24e+1 2.61e+0 -4.75e+0 2.07e-6 Decrease
Deceased 1.23e+2 1.41e+4 8.78e-3 9.93e-1 Increase
Homebound -2.99e+2 1.17e+5 -2.55e-3 9.98e-1 Decrease
Hospitalized 1.16e+1 3.25e+0 3.58e+0 3.45e-4 Increase
Mild 4.39e-2 2.29e+3 1.92e-5 1.00e+0 Increase
Recovered 6.62e+0 2.98e+0 2.22e+0 2.64e-2 Increase

Analyzing the association between mutation and patient status.
Note: we categorized the data into different patient age (0-17, 18-39, 40-64, 65-84, and 85+). In the analysis exploring the association between mutation and patient age, the model included mutation, patient age, gender, sequence region of origin, and sequence collection time point. In the 'increase' direction of the mutation, it means that when this mutation occurs, it increases the corresponding effect proportion. In the 'decrease' direction of the mutation, it means that when this mutation occurs, it decreases the corresponding effect proportion. A p-value lower than 0.001 signifies a notable differentiation between the population with and without the mutation.

Attribute Effect Estimate SE Z-value P-value Direction
Patient age, years 0-17 5.15e-1 5.29e-1 9.74e-1 3.30e-1 Increase
18-39 -3.20e-1 2.63e-1 -1.21e+0 2.25e-1 Decrease
40-64 -3.38e-1 2.50e-1 -1.35e+0 1.76e-1 Decrease
65-84 2.43e-1 2.98e-1 8.16e-1 4.15e-1 Increase
>=85 6.97e-1 3.90e-1 1.79e+0 7.36e-2 Increase

Analyzing the association between mutation and patient status.
Note: we categorized the data into different patient gender (male and female). In the analysis exploring the association between mutation and patient gender, the model included mutation, patient gender, patient age, sequence region of origin, and sequence collection time point. In the 'increase' direction of the mutation, it means that when this mutation occurs, it increases the corresponding effect proportion. In the 'decrease' direction of the mutation, it means that when this mutation occurs, it decreases the corresponding effect proportion. A p-value lower than 0.001 signifies a notable differentiation between the population with and without the mutation.

Attribute Effect Estimate SE Z-value P-value Direction
Patient gender Male 1.12e-1 2.38e-1 4.71e-1 6.38e-1 Increase





Investigating natural selection at mutation (3768T>C) site for genetic adaptation and diversity

Note: Investigating the occurrence of positive selection or negative selection at this mutation site reveals implications for genetic adaptation and diversity.

The MEME method within the HyPhy software was employed to analyze positive selection. MEME: episodic selection.
Note: List of sites found to be under episodic selection by MEME (p < 0.05). "Protein Start" corresponds to the protein's starting genomic position. "Protein End" corresponds to the protein's ending genomic position. The term 'site' represents a selection site within the protein.

Protein name Protein start Protein end Protein length Site P-value Lineage Method

The FEL method within the HyPhy software was employed to analyze both positive and negative selection. FEL: pervasive selection on samll datasets.
Note: List of sites found to be under pervasive selection by FEL (p < 0.05). A beta value greater than alpha signifies positive selection, while a beta value smaller than alpha signifies negative selection. "Protein Start" corresponds to the protein's starting genomic position. "Protein End" corresponds to the protein's ending genomic position. The term 'site' represents a selection site within the protein.

Protein name Protein start Protein end Protein length Site Alpha Beta P-value Lineage Method

The FUBAR method within the HyPhy software was employed to analyze both positive and negative selection. FUBAR: pervasive selection on large datasets.
Note: List of sites found to be under pervasive selection by FUBAR (prob > 0.95). A prob[alpha < beta] value exceeding 0.95 indicates positive selection, while a prob[alpha > beta] value exceeding 0.95 indicates negative selection. "Protein Start" corresponds to the protein's starting genomic position. "Protein End" corresponds to the protein's ending genomic position. The term 'site' represents a selection site within the protein.

Protein name Protein start Protein end Protein length Site Prob[alpha>beta] Prob[alpha<beta] Lineage Method




Alterations in protein physicochemical properties induced by mutation (3768T>C)

Understanding the alterations in protein physicochemical properties can reveal the evolutionary processes and adaptive changes of viruses
Note: ProtParam software was used for the analysis of physicochemical properties. Significant change threshold: A change exceeding 10% compared to the reference is considered a significant change. "GRAVY" is an abbreviation for "grand average of hydropathicity".

Group Protein name Molecular weight Theoretical PI Extinction coefficients Aliphatic index GRAVY




Alterations in protein stability induced by mutation (3768T>C)

The impact of mutations on protein stability directly or indirectly affects the biological characteristics, adaptability, and transmission capacity of the virus
Note: iMutant 2.0 was utilized to analyze the effects of mutations on protein stability. pH 7 and a temperature of 25°C are employed to replicate the in vitro environment. pH 7.4 and a temperature of 37°C are utilized to simulate the in vivo environment.

Mutation Protein name Mutation type Position ΔDDG Stability pH Temperature Condition




Impact on protein function induced by mutation (3768T>C)

The impact of mutations on protein function
Note: The MutPred2 software was used to predict the pathogenicity of a mutation and gives the molecular mechanism of pathogenicity. A score above 0.5 indicates an increased likelihood of pathogenicity. "Pr" is the abbreviation for "proportion. P" is the abbreviation for "p-value.

Mutation Protein name Mutation type Score Molecular mechanisms




Exploring mutation (3768T>C) distribution within intrinsically disordered protein regions

Intrinsically Disordered Proteins (IDPs) which refers to protein regions that have no unique 3D structure. In viral proteins, mutations in the disordered regions s are critical for immune evasion and antibody escape, suggesting potential additional implications for vaccines and monoclonal therapeutic strategies.
Note: The iupred3 software was utilized for analyzing IDPs. A score greater than 0.5 is considered indicative of an IDP. In the plot, "POS" represents the position of the mutation.





Alterations in enzyme cleavage sites induced by mutation (3768T>C)

Exploring the impact of mutations on the cleavage sites of 28 enzymes.
Note: The PeptideCutter software was used for detecting enzymes cleavage sites. The increased enzymes cleavage sites refer to the cleavage sites in the mutated protein that are added compared to the reference protein. Conversely, the decreased enzymes cleavage sites indicate the cleavage sites in the mutated protein that are reduced compared to the reference protein.

Mutation Protein name Genome position Enzyme name Increased cleavage sites Decreased cleavage sites




Impact of spike protein mutation (3768T>C) on antigenicity and immunogenicity

Investigating the impact of mutations on antigenicity and immunogenicity carries important implications for vaccine design and our understanding of immune responses.
Note: An absolute change greater than 0.0102 (three times the median across sites) in antigenicity score is considered significant. An absolute changegreater than 0.2754 (three times the median across sites) in immunogenicity score is considered significant. The VaxiJen tool was utilized for antigenicity analysis. The IEDB tool was used for immunogenicity analysis. Antigens with a prediction score of more than 0.4 for this tool are considered candidate antigens. MHC I immunogenicity score >0, indicating a higher probability to stimulate an immune response.

Group Protein name Protein region Antigenicity score Immunogenicity score




Impact of mutation (3768T>C) on viral transmissibility by the affinity between RBD and ACE2 receptor

Unraveling the impact of mutations on the interaction between the receptor binding domain (RBD) and ACE2 receptor using deep mutational scanning (DMS) experimental data to gain insights into their effects on viral transmissibility.
Note: The ΔBinding affinity represents the disparity between the binding affinity of a mutation and the reference binding affinity. A positive Δbinding affinity value (Δlog10(KD,app) > 0) signifies an increased affinity between RBD and ACE2 receptor due to the mutation. Conversely, a negative value (Δlog10(KD,app) < 0) indicates a reduced affinity between RBD and ACE2 receptor caused by the mutation. A p-value smaller than 0.05 indicates significance. "Ave mut bind" represents the average binding affinity of this mutation. "Ave ref bind" refers to the average binding affinity at a site without any mutation (reference binding affinity).

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Mutation Protein name Protein region Mutation Position Ave mut bind Ave ref bind ΔBinding affinity P-value Image


The interface between the receptor binding domain (RBD) and ACE2 receptor is depicted in the crystal structure 6JM0.
Note: The structure 6M0J encompasses the RBD range of 333 to 526. The binding sites (403-406, 408, 417, 439, 445-447, 449, 453, 455-456, 473-478, 484-498, and 500-506) on the RBD that interface with ACE2 are indicated in magenta. The binding sites on the RBD that have been identified through the interface footprints experiment. The ACE2 binding sites within the interface are shown in cyan, representing residues within 5Å proximity to the RBD binding sites. The mutation within the RBD range of 333 to 526 is depicted in red.

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        Show interface residues:





Impact of mutation (3768T>C) on immune escape by the affinity between RBD and antibody/serum

By utilizing experimental data from deep mutational scanning (DMS), we can uncover how mutations affect the interaction between the receptor binding domain (RBD) and antibodies/serum. This approach provides valuable insights into strategies for evading the host immune response.
Note: We considered a mutation to mediate strong escape if the escape score exceeded 0.1 (10% of the maximum score of 1). A total of 1,504 antibodies/serum data were collected for this analysis. "Condition name" refers to the name of the antibodies/serum. "Mut escape score" represents the escape score of the mutation in that specific condition. "Avg mut escape score" indicates the average escape score of the mutation site in that condition, considering the occurrence of this mutation and other mutations. Class 1 antibodies bind to an epitope only in the RBD “up” conformation, and are the most abundant. Class 2 antibodies bind to the RBD both in “up” and “down” conformations. Class 3 and class 4 antibodies both bind outside the ACE2 binding site. Class 3 antibodies bind the RBD in both the open and closed conformation, while class 4 antibodies bind only in the open conformation.

Mutation Condition name Condition type Condition subtype Condition year Mut escape score Avg mut escape score




Investigating the co-mutation patterns of mutation (3768T>C) across 2,735 viral lineages

Investigating the co-mutation patterns of SARS-CoV-2 across 2,735 viral lineages to unravel the cooperative effects of different mutations. In biological research, correlation analysis of mutation sites helps us understand whether there is a close relationship or interaction between certain mutations.
Note: The Spearman correlation coefficient is used to calculate the correlation between two mutations within each Pango lineage. Holm–Bonferroni method was used for multiple test adjustment. We retained mutation pairs with correlation values greater than 0.6 or less than -0.6 and Holm–Bonferroni corrected p-values less than 0.05.

Associated mutation ID DNA mutation Mutation type Protein name Protein mutation correlation coefficient Lineage
V1214 4673C>T missense_variant ORF1ab_pp1a T1558I 1.00e+0 AY.100
V5037 86G>T missense_variant ORF7b W29L 6.79e-1 AY.3
V8871 1893T>C synonymous_variant S P631P 8.45e-1 AY.3
V1376 5771G>T missense_variant ORF1ab_pp1a S1924I 8.66e-1 P.1
V3152 18743C>T missense_variant ORF1ab_pp1ab A6248V 7.82e-1 B.1.617.2
V7817 14856C>T synonymous_variant ORF1ab_pp1ab V4952V 7.61e-1 B.1.617.2
V3767 742T>C missense_variant S Y248H 7.07e-1 BA.5.6
V7513 12567G>A synonymous_variant ORF1ab_pp1a Q4189Q 7.07e-1 AY.119
V1334 5465C>T missense_variant ORF1ab_pp1a T1822I 7.07e-1 AY.3.1
V1147 4221G>T missense_variant ORF1ab_pp1a K1407N 7.07e-1 AY.4.2.3
V482 1328C>T missense_variant ORF1ab_pp1a S443F 7.07e-1 AY.4.2.3
V4100 2533G>T missense_variant S A845S 1.00e+0 AY.4.7
V7666 13800T>C synonymous_variant ORF1ab_pp1ab D4600D 7.07e-1 AY.4.7
V8909 2145C>T synonymous_variant S P715P 7.07e-1 AY.4.7
V1951 9428C>T missense_variant ORF1ab_pp1a A3143V 1.00e+0 AY.4.9
V3534 56C>T missense_variant S T19I 7.07e-1 B.1.177.44
V7370 11490A>T synonymous_variant ORF1ab_pp1a P3830P 1.00e+0 B.1.177.60
V8944 2461C>T synonymous_variant S L821L 8.66e-1 B.1.177.60
V1911 9095C>T missense_variant ORF1ab_pp1a T3032I 1.00e+0 B.1.621
V7969 16074C>T synonymous_variant ORF1ab_pp1ab V5358V 8.16e-1 B.1.621
V8761 1029C>T synonymous_variant S N343N 6.32e-1 B.1.621
V3416 20561C>T missense_variant ORF1ab_pp1ab T6854I 7.07e-1 BA.1.1.10
V4734 98G>T missense_variant M C33F 1.00e+0 BA.1.1.10
V9247 759C>A synonymous_variant ORF3a S253S 1.00e+0 BA.1.1.10
V7676 13854G>A synonymous_variant ORF1ab_pp1ab T4618T 1.00e+0 BA.2.1
V7788 14625C>T synonymous_variant ORF1ab_pp1ab Y4875Y 6.32e-1 BA.2.1
V281 496A>G missense_variant ORF1ab_pp1a S166G 9.52e-1 BA.2.23
V6534 4839T>C synonymous_variant ORF1ab_pp1a H1613H 9.67e-1 BA.2.23
V7327 11142C>T synonymous_variant ORF1ab_pp1a V3714V 1.00e+0 BA.2.3.2
V8399 19290C>T synonymous_variant ORF1ab_pp1ab G6430G 7.07e-1 BA.2.3.2
V3449 20835G>T missense_variant ORF1ab_pp1ab E6945D 1.00e+0 BA.5.1.19
V9561 18C>T synonymous_variant N P6P 7.07e-1 BA.5.1.19
V7288 10734T>C synonymous_variant ORF1ab_pp1a G3578G 1.00e+0 BA.5.1.25
V2246 11510C>T missense_variant ORF1ab_pp1a A3837V 1.00e+0 BA.5.1.3
V6164 2133G>A synonymous_variant ORF1ab_pp1a T711T 7.07e-1 BA.5.1.3
V7384 11568C>T synonymous_variant ORF1ab_pp1a A3856A 1.00e+0 BA.5.1.3
V7592 13152T>C synonymous_variant ORF1ab_pp1a D4384D 7.07e-1 BA.5.1.3
V7511 12558C>T synonymous_variant ORF1ab_pp1a S4186S 7.07e-1 BA.5.2.33
V4902 139C>A missense_variant ORF7a H47N 7.07e-1 BA.5.2.34
V5628 1148C>T missense_variant N P383L 1.00e+0 BA.5.2.34
V7576 13008T>C synonymous_variant ORF1ab_pp1a H4336H 1.00e+0 BA.5.2.9
V3891 1380T>G missense_variant S N460K 8.66e-1 BA.5.6.2
V6641 5646T>C synonymous_variant ORF1ab_pp1a Y1882Y 1.00e+0 BA.5.6.2
V7650 13680C>T synonymous_variant ORF1ab_pp1ab N4560N 1.00e+0 BA.5.6.2
V7749 14355T>C synonymous_variant ORF1ab_pp1ab T4785T 8.16e-1 BA.5.6.2
V8222 18003C>T synonymous_variant ORF1ab_pp1ab R6001R 1.00e+0 BA.5.6.2
V9570 60C>T synonymous_variant N P20P 1.00e+0 BA.5.6.2
V3876 1334T>C missense_variant S V445A 6.23e-1 BE.1
V3091 18319G>A missense_variant ORF1ab_pp1ab V6107I 1.00e+0 BF.24
V80 -47G>A upstream_gene_variant ORF1ab_pp1a None 7.07e-1 BQ.1.11
V9638 414C>T synonymous_variant N A138A 1.00e+0 BQ.1.11
V4467 299G>A missense_variant ORF3a G100D 8.66e-1 BQ.1.1.32
V6515 4725C>T synonymous_variant ORF1ab_pp1a D1575D 7.50e-1 BQ.1.1.32
V3038 17996T>C missense_variant ORF1ab_pp1ab I5999T 7.07e-1 BQ.1.3
V6454 4278C>T synonymous_variant ORF1ab_pp1a T1426T 7.07e-1 BQ.1.3
V3644 436_438delCAC conservative_inframe_deletion S H146del 8.47e-1 BQ.1.5
V5451 595C>T missense_variant N P199S 9.37e-1 BQ.1.5
V6732 6303C>T synonymous_variant ORF1ab_pp1a D2101D 9.44e-1 BQ.1.5
V9638 414C>T synonymous_variant N A138A 9.88e-1 BQ.1.5
V2638 14593G>T missense_variant ORF1ab_pp1ab V4865F 1.00e+0 BW.1.1
V5711 83C>T missense_variant ORF10 A28V 1.00e+0 BW.1.1
V6641 5646T>C synonymous_variant ORF1ab_pp1a Y1882Y 1.00e+0 BW.1.1
V7650 13680C>T synonymous_variant ORF1ab_pp1ab N4560N 1.00e+0 BW.1.1
V7749 14355T>C synonymous_variant ORF1ab_pp1ab T4785T 1.00e+0 BW.1.1
V9570 60C>T synonymous_variant N P20P 1.00e+0 BW.1.1
V5711 83C>T missense_variant ORF10 A28V 1.00e+0 BW.1
V6641 5646T>C synonymous_variant ORF1ab_pp1a Y1882Y 9.29e-1 BW.1
V7650 13680C>T synonymous_variant ORF1ab_pp1ab N4560N 9.29e-1 BW.1
V7749 14355T>C synonymous_variant ORF1ab_pp1ab T4785T 7.70e-1 BW.1
V8222 18003C>T synonymous_variant ORF1ab_pp1ab R6001R 9.43e-1 BW.1
V9570 60C>T synonymous_variant N P20P 9.29e-1 BW.1
V161 178G>A missense_variant ORF1ab_pp1a V60I 7.07e-1 BY.1
V355 856C>T missense_variant ORF1ab_pp1a P286S 7.07e-1 BY.1
V6982 8397T>C synonymous_variant ORF1ab_pp1a H2799H 7.07e-1 BY.1
V8326 18693T>C synonymous_variant ORF1ab_pp1ab N6231N 7.07e-1 BY.1
V6179 2197C>T synonymous_variant ORF1ab_pp1a L733L 6.12e-1 CH.1.1.1
V1376 5771G>T missense_variant ORF1ab_pp1a S1924I 6.32e-1 P.1.12
V9779 1059G>T synonymous_variant N L353L 1.00e+0 XBB
V5700 47T>C missense_variant ORF10 L16P 1.00e+0 XB
V60 -73C>T upstream_gene_variant ORF1ab_pp1a None 1.00e+0 XB
V2257 11651C>T missense_variant ORF1ab_pp1a S3884L 1.00e+0 B.1.350
V5380 401C>T missense_variant N A134V 1.00e+0 B.1.350
V5446 584G>T missense_variant N R195I 1.00e+0 B.1.350
V5997 921G>A synonymous_variant ORF1ab_pp1a A307A 1.00e+0 B.1.350
V9138 21C>T synonymous_variant ORF3a I7I 1.00e+0 B.1.350
V9773 1011C>T synonymous_variant N I337I 1.00e+0 B.1.350
V7027 8721C>T synonymous_variant ORF1ab_pp1a D2907D 6.96e-1 B.1.496
V260 421_429delAAGTCATTT conservative_inframe_deletion ORF1ab_pp1a K141_F143del 8.16e-1 B.1.91
V261 421A>G missense_variant ORF1ab_pp1a K141E 7.06e-1 B.1.91
V266 429T>A missense_variant ORF1ab_pp1a F143L 7.06e-1 B.1.91





Manual curation of mutation (3768T>C)-related literature from PubMed

The pubmed.mineR and pubmed-mapper were utilized for extracting literature from PubMed, followed by manual filtering.
Note: PubMed: (COVID-19 [Title/Abstract] OR SARS-COV-2 [Title/Abstract]) AND (DNA mutation [Title/Abstract] OR Protein mutation-1 letter [Title/Abstract] OR Protein mutation-3 letter [Title/Abstract]).

DNA level Protein level Paper title Journal name Publication year Pubmed ID