Mechanistic insights into the CYP2C19 genetic variants prevalent in the Indian population
•Established the distribution of CYP2C19 variants in Indians using Infinium global screening array.•Five CYP2C19 variants were identified in Indians (*2, *3, *6,*8 and *17)•The *2 and *17 variants are prevalent while *3, *6 and *8 are rare.•The *2, *3 and *7 have lesser probability of exon skipping,...
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Published in | Gene Vol. 784; p. 145592 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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Elsevier B.V
05.06.2021
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Abstract | •Established the distribution of CYP2C19 variants in Indians using Infinium global screening array.•Five CYP2C19 variants were identified in Indians (*2, *3, *6,*8 and *17)•The *2 and *17 variants are prevalent while *3, *6 and *8 are rare.•The *2, *3 and *7 have lesser probability of exon skipping, while *17 has more probability.•In the presence of *17 variant, GATA1, MEF2 and EVI1 transcription factors binding is enhanced.•This increased binding contributes to DNA curvature in the presence of *17 variant.•The *5,*6, *8, *9 and *10 variants with higher evolutionary preservation are probably damaging.•Region-specific data of Indians clustered together except for Assamese.
CYP2C19 metabolizes the antiplatelet and antiepileptic drugs. Any alteration in CYP2C19 activity might influence the therapeutic efficacy. The objective of this study was to identify CYP2C19 variants prevalent in Indians and perform their in silico characterization.
Infinium global screening array (GSA) was used for CYP2C19 genotyping in 2000 healthy Indians. In addition, we performed in silico characterization of the identified variants.
Out of the 11 variants covered (*2, *3, *4,*5,*6, *7,*8, *9,*10,*11, and *17), five were identified in Indians (*2, *3, *6,*8 and *17). The *2 and *17 were the most prevalent alleles (minor allele frequencies, MAF: 32.0% and 13.95%). The *3, *6 and *8 were rare (MAFs: 0.425%, 0.025% and 0.05%). The *2 variant is shown to affect the splicing at the fifth exon–intron boundary. The *3 variant is a non-sense variant that is predicted to be deleterious. On the otherhand, the *17 variant showed more binding affinity for GATA binding protein 1 (GATA1), myocyte enhancer factor 2 (MEF2) and ectotropic viral integration site 1 (EVI1). The *6 and *8 variants predicted to be deleterious. The *2, *3 and *7 variants showed lesser probability of exon skipping, while *17 showed more probability. The genotype distribution of Indian subjects is comparable with that of South Asians (SAS) (1000 genome project, phase 3).
The *2, *3 and *17 variants are the key pharmacogenetic determinants in Indians. The *2 and *3 are loss-of-function variants. The *17 is a gain-of-function variant with increased binding of transcriptional factors. |
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AbstractList | CYP2C19 metabolizes the antiplatelet and antiepileptic drugs. Any alteration in CYP2C19 activity might influence the therapeutic efficacy. The objective of this study was to identify CYP2C19 variants prevalent in Indians and perform their in silico characterization.
Infinium global screening array (GSA) was used for CYP2C19 genotyping in 2000 healthy Indians. In addition, we performed in silico characterization of the identified variants.
Out of the 11 variants covered (*2, *3, *4,*5,*6, *7,*8, *9,*10,*11, and *17), five were identified in Indians (*2, *3, *6,*8 and *17). The *2 and *17 were the most prevalent alleles (minor allele frequencies, MAF: 32.0% and 13.95%). The *3, *6 and *8 were rare (MAFs: 0.425%, 0.025% and 0.05%). The *2 variant is shown to affect the splicing at the fifth exon-intron boundary. The *3 variant is a non-sense variant that is predicted to be deleterious. On the otherhand, the *17 variant showed more binding affinity for GATA binding protein 1 (GATA1), myocyte enhancer factor 2 (MEF2) and ectotropic viral integration site 1 (EVI1). The *6 and *8 variants predicted to be deleterious. The *2, *3 and *7 variants showed lesser probability of exon skipping, while *17 showed more probability. The genotype distribution of Indian subjects is comparable with that of South Asians (SAS) (1000 genome project, phase 3).
The *2, *3 and *17 variants are the key pharmacogenetic determinants in Indians. The *2 and *3 are loss-of-function variants. The *17 is a gain-of-function variant with increased binding of transcriptional factors. CYP2C19 metabolizes the antiplatelet and antiepileptic drugs. Any alteration in CYP2C19 activity might influence the therapeutic efficacy. The objective of this study was to identify CYP2C19 variants prevalent in Indians and perform their in silico characterization.Infinium global screening array (GSA) was used for CYP2C19 genotyping in 2000 healthy Indians. In addition, we performed in silico characterization of the identified variants.Out of the 11 variants covered (*2, *3, *4,*5,*6, *7,*8, *9,*10,*11, and *17), five were identified in Indians (*2, *3, *6,*8 and *17). The *2 and *17 were the most prevalent alleles (minor allele frequencies, MAF: 32.0% and 13.95%). The *3, *6 and *8 were rare (MAFs: 0.425%, 0.025% and 0.05%). The *2 variant is shown to affect the splicing at the fifth exon–intron boundary. The *3 variant is a non-sense variant that is predicted to be deleterious. On the otherhand, the *17 variant showed more binding affinity for GATA binding protein 1 (GATA1), myocyte enhancer factor 2 (MEF2) and ectotropic viral integration site 1 (EVI1). The *6 and *8 variants predicted to be deleterious. The *2, *3 and *7 variants showed lesser probability of exon skipping, while *17 showed more probability. The genotype distribution of Indian subjects is comparable with that of South Asians (SAS) (1000 genome project, phase 3).The *2, *3 and *17 variants are the key pharmacogenetic determinants in Indians. The *2 and *3 are loss-of-function variants. The *17 is a gain-of-function variant with increased binding of transcriptional factors. •Established the distribution of CYP2C19 variants in Indians using Infinium global screening array.•Five CYP2C19 variants were identified in Indians (*2, *3, *6,*8 and *17)•The *2 and *17 variants are prevalent while *3, *6 and *8 are rare.•The *2, *3 and *7 have lesser probability of exon skipping, while *17 has more probability.•In the presence of *17 variant, GATA1, MEF2 and EVI1 transcription factors binding is enhanced.•This increased binding contributes to DNA curvature in the presence of *17 variant.•The *5,*6, *8, *9 and *10 variants with higher evolutionary preservation are probably damaging.•Region-specific data of Indians clustered together except for Assamese. CYP2C19 metabolizes the antiplatelet and antiepileptic drugs. Any alteration in CYP2C19 activity might influence the therapeutic efficacy. The objective of this study was to identify CYP2C19 variants prevalent in Indians and perform their in silico characterization. Infinium global screening array (GSA) was used for CYP2C19 genotyping in 2000 healthy Indians. In addition, we performed in silico characterization of the identified variants. Out of the 11 variants covered (*2, *3, *4,*5,*6, *7,*8, *9,*10,*11, and *17), five were identified in Indians (*2, *3, *6,*8 and *17). The *2 and *17 were the most prevalent alleles (minor allele frequencies, MAF: 32.0% and 13.95%). The *3, *6 and *8 were rare (MAFs: 0.425%, 0.025% and 0.05%). The *2 variant is shown to affect the splicing at the fifth exon–intron boundary. The *3 variant is a non-sense variant that is predicted to be deleterious. On the otherhand, the *17 variant showed more binding affinity for GATA binding protein 1 (GATA1), myocyte enhancer factor 2 (MEF2) and ectotropic viral integration site 1 (EVI1). The *6 and *8 variants predicted to be deleterious. The *2, *3 and *7 variants showed lesser probability of exon skipping, while *17 showed more probability. The genotype distribution of Indian subjects is comparable with that of South Asians (SAS) (1000 genome project, phase 3). The *2, *3 and *17 variants are the key pharmacogenetic determinants in Indians. The *2 and *3 are loss-of-function variants. The *17 is a gain-of-function variant with increased binding of transcriptional factors. CYP2C19 metabolizes the antiplatelet and antiepileptic drugs. Any alteration in CYP2C19 activity might influence the therapeutic efficacy. The objective of this study was to identify CYP2C19 variants prevalent in Indians and perform their in silico characterization.PURPOSECYP2C19 metabolizes the antiplatelet and antiepileptic drugs. Any alteration in CYP2C19 activity might influence the therapeutic efficacy. The objective of this study was to identify CYP2C19 variants prevalent in Indians and perform their in silico characterization.Infinium global screening array (GSA) was used for CYP2C19 genotyping in 2000 healthy Indians. In addition, we performed in silico characterization of the identified variants.METHODSInfinium global screening array (GSA) was used for CYP2C19 genotyping in 2000 healthy Indians. In addition, we performed in silico characterization of the identified variants.Out of the 11 variants covered (*2, *3, *4,*5,*6, *7,*8, *9,*10,*11, and *17), five were identified in Indians (*2, *3, *6,*8 and *17). The *2 and *17 were the most prevalent alleles (minor allele frequencies, MAF: 32.0% and 13.95%). The *3, *6 and *8 were rare (MAFs: 0.425%, 0.025% and 0.05%). The *2 variant is shown to affect the splicing at the fifth exon-intron boundary. The *3 variant is a non-sense variant that is predicted to be deleterious. On the otherhand, the *17 variant showed more binding affinity for GATA binding protein 1 (GATA1), myocyte enhancer factor 2 (MEF2) and ectotropic viral integration site 1 (EVI1). The *6 and *8 variants predicted to be deleterious. The *2, *3 and *7 variants showed lesser probability of exon skipping, while *17 showed more probability. The genotype distribution of Indian subjects is comparable with that of South Asians (SAS) (1000 genome project, phase 3).RESULTSOut of the 11 variants covered (*2, *3, *4,*5,*6, *7,*8, *9,*10,*11, and *17), five were identified in Indians (*2, *3, *6,*8 and *17). The *2 and *17 were the most prevalent alleles (minor allele frequencies, MAF: 32.0% and 13.95%). The *3, *6 and *8 were rare (MAFs: 0.425%, 0.025% and 0.05%). The *2 variant is shown to affect the splicing at the fifth exon-intron boundary. The *3 variant is a non-sense variant that is predicted to be deleterious. On the otherhand, the *17 variant showed more binding affinity for GATA binding protein 1 (GATA1), myocyte enhancer factor 2 (MEF2) and ectotropic viral integration site 1 (EVI1). The *6 and *8 variants predicted to be deleterious. The *2, *3 and *7 variants showed lesser probability of exon skipping, while *17 showed more probability. The genotype distribution of Indian subjects is comparable with that of South Asians (SAS) (1000 genome project, phase 3).The *2, *3 and *17 variants are the key pharmacogenetic determinants in Indians. The *2 and *3 are loss-of-function variants. The *17 is a gain-of-function variant with increased binding of transcriptional factors.CONCLUSIONThe *2, *3 and *17 variants are the key pharmacogenetic determinants in Indians. The *2 and *3 are loss-of-function variants. The *17 is a gain-of-function variant with increased binding of transcriptional factors. |
ArticleNumber | 145592 |
Author | Alrokayan, Salman Naushad, Shaik Mohammad Kutala, Vijay Kumar Vattam, Kiran Kumar Devi, Yadamreddy Kanaka Durga Hussain, Tajamul |
Author_xml | – sequence: 1 givenname: Shaik Mohammad surname: Naushad fullname: Naushad, Shaik Mohammad email: naushadsm@gmail.com organization: Department of Pharmacogenomics, Sandor Speciality Diagnostics Pvt Ltd, Banjara Hills, Road No 3, Hyderabad, India – sequence: 2 givenname: Kiran Kumar surname: Vattam fullname: Vattam, Kiran Kumar organization: Department of Pharmacogenomics, Sandor Speciality Diagnostics Pvt Ltd, Banjara Hills, Road No 3, Hyderabad, India – sequence: 3 givenname: Yadamreddy Kanaka Durga surname: Devi fullname: Devi, Yadamreddy Kanaka Durga organization: Department of Pharmacogenomics, Sandor Speciality Diagnostics Pvt Ltd, Banjara Hills, Road No 3, Hyderabad, India – sequence: 4 givenname: Tajamul surname: Hussain fullname: Hussain, Tajamul organization: Center of Excellence in Biotechnology Research, College of Science, King Saud University, Riyadh 11451, Saudi Arabia – sequence: 5 givenname: Salman surname: Alrokayan fullname: Alrokayan, Salman organization: Research Chair for Biomedical Applications of Nanomaterials, Biochemistry Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia – sequence: 6 givenname: Vijay Kumar surname: Kutala fullname: Kutala, Vijay Kumar email: vijaykutala@gmail.com organization: Department of Clinical Pharmacology and Therapeutics, Nizam’s Institute of Medical Sciences, Hyderabad, India |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33766706$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1039_D4RA03913K crossref_primary_10_1016_j_ijcard_2024_132418 crossref_primary_10_1016_j_hsr_2022_100045 crossref_primary_10_1002_jgm_3634 |
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Keywords | MEF2 NMA ESS In silico analysis CYP2C19 GATA1 PCA GSA ESE EVI1 Transcriptional factor binding RM Global Screening Array PM |
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Snippet | •Established the distribution of CYP2C19 variants in Indians using Infinium global screening array.•Five CYP2C19 variants were identified in Indians (*2, *3,... CYP2C19 metabolizes the antiplatelet and antiepileptic drugs. Any alteration in CYP2C19 activity might influence the therapeutic efficacy. The objective of... |
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StartPage | 145592 |
SubjectTerms | Adult Aged alleles Computer Simulation CYP2C19 Cytochrome P-450 CYP2C19 - genetics European Continental Ancestry Group - genetics exons Female gain-of-function mutation GATA transcription factors Gene Frequency Genetic Variation genotype genotyping Genotyping Techniques - methods Global Screening Array Healthy Volunteers Humans In silico analysis India loss-of-function mutation Male Metagenomics Middle Aged probability therapeutics transcription (genetics) Transcriptional factor binding Young Adult |
Title | Mechanistic insights into the CYP2C19 genetic variants prevalent in the Indian population |
URI | https://dx.doi.org/10.1016/j.gene.2021.145592 https://www.ncbi.nlm.nih.gov/pubmed/33766706 https://www.proquest.com/docview/2506285234 https://www.proquest.com/docview/2551953298 |
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