Literature DB >> 31061854

Data on genotype frequency for SNPs associated to age of smoking onset and successful smoking cessation treatment.

Gloria Pérez-Rubio1, Luis Alberto López-Flores1, Alejandra Ramírez-Venegas2, Raúl H Sansores3, Ramcés Falfán-Valencia1.   

Abstract

This article contains data on the allele and genotype frequency for single nucleotide polymorphisms (SNPs) in candidate genes CHRNA5 (rs16969968, rs17408276, rs680244) CHRNA3 (rs6495307, rs12914385) NRXN1 (rs10865246, rs1882296, rs985919) and HTR2A (rs6311, rs6313) previously evaluated as genetic risk variants for cigarette smoking at an early age and relapse to smoking cessation treatment Pérez-Rubio et al., 2018. These SNPs were selected due to previous associations in other populations, including Mexican Mestizos. Smokers were classified according to the age at onset, cigarettes per day, nicotine dependence, COPD status and therapy received.

Entities:  

Year:  2019        PMID: 31061854      PMCID: PMC6488734          DOI: 10.1016/j.dib.2019.103893

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications table Comparing and analyzing in other populations offer an opportunity to find causal genetic variants in tobacco smoking-related variables. The analysis in mestizo smokers validates previous reports in Caucasian populations. Further studies in other mestizo populations, with different degrees of Amerindian/Caucasian contribution, are desirables.

Data

A descriptive table (Table 1) showing characteristics on the single nucleotide polymorphisms (SNPs) is included, these comprise gene location, alleles (change/minor), chromosome position, minor allele frequency and gene consequence when it applies.
Table 1

Characteristics in evaluated SNPs.

GeneSNPAllele
Chr PositionMAFaGene Consequenceb
ChangeMinor
CHRNA5rs16969968G > AA15:78590583A = 0.26553Missense Variant:D [GAT] > N [AAT]
rs17408276T > CC15:78589276C = 0.2881Intron Variant
rs680244C > TC15:78578946T = 0.4098Intron Variant
CHRNA3rs6495307C > TT15:78597979T = 0.3994Intron Variant
rs12914385C > TT15:78606381T = 0.3138Intron Variant
NRXN1rs10865246A/CC2:50443116C = 0.4950Intron Variant
rs1882296T > CC2:50039707C = 0.3900Intron Variant
rs985919C > AA2:50459875A = 0.4957Intron Variant
HTR2Ars6311C > TT13:46897343T = 0.39702KB Upstream Variant
rs6313G > AA13:46895805A = 0.40701Synonymous Variant: S [TCC] > S [TCT]

Minor allele frequency according to The genome Aggregation Database (gnomAD).

Codon in brackets.

Characteristics in evaluated SNPs. Minor allele frequency according to The genome Aggregation Database (gnomAD). Codon in brackets. Genotype frequencies for 10 SNPs in the candidate genes CHRNA5 (rs16969968, rs17408276, rs680244), CHRNA3 (rs6495307, rs12914385), NRXN1 (rs10865246, rs1882296, rs985919) and HTR2A (rs6311, rs6313) were evaluated in the participation of smoking-related variables in Mexican Mestizo smokers and their characteristics are described in Table 2, Table 3, Table 4, Table 5.
Table 2

Genotype frequency of SNP in early and late smokers.

GeneSNP/GenotypeES (n = 81)LS (n = 70)
CHRNA5rs16969968nGF (%)nGF (%)
GG4150.64463.8
GA3441.92231.9
AA67.434.3
rs17408276
TT4861.53855.9
TC2937.22637.1
CC11.345.7
rs680244
GG4758.04361.4
GA2834.62332.9
AA67.445.7
CHRNA3rs6495307
CC4658.24260.0
CT3139.22332.9
TT22.557.1
rs12914385
CC3543.24058.0
CT3846.92637.7
TT89.934.3
NRXN1rs10865246
AA3340.72738.6
AC3745.73854.3
CC1113.657.1
rs1882296
AA4251.93955.7
AG3543.22637.1
GG44.957.1
rs985919
TT2834.62434.3
TG4758.03752.9
GG67.4912.9
HTR2Ars6311
CC2632.12434.3
CT3846.93955.7
TT1721.0710.0
rs6313
GG5669.16085.7
GA1417.357.1
AA1113.657.1

ES: People who smoke cigarettes at an early age; LS: People who smoke cigarettes at a late age; GF: Genotype frequency.

Table 3

Genotype frequency of SNP in smoker status by cigarettes per day.

GeneSNP/GenotypeHS (n = 86)MS (n = 11)LIS (n = 54)
CHRNA5rs16969968nGF (%)nFG (%)nGF (%)
GG4754.7763.63158.5
GA3237.2436.42037.7
AA78.100.023.8
rs17408276
TT4554.2550.03667.9
TC3643.4440.01528.3
CC22.4110.023.8
rs680244
GG4957.0763.63463.0
GA3237.2327.31629.6
AA55.819.147.4
CHRNA3rs6495307
CC4756.0654.53564.8
CT3440.5436.41629.6
TT33.619.135.6
rs12914385
CC3844.7763.63055.6
CT3945.9436.42138.9
TT89.400.035.6
NRXN1rs10865246
AA3338.4327.32444.4
AC4451.2763.62444.4
CC910.519.1611.1
rs1882296
AA4248.8654.53361.1
AG3743.0436.42037.0
GG78.119.111.9
rs985919
TT2731.4436.42138.9
TG5058.1545.52953.7
GG910.5218.247.4
HTR2Ars6311
CC2731.4436.41935.2
CT4147.8763.62953.7
TT1820.900.0611.1
rs6313
GG6980.211100.03666.7
GA68.000.01324.1
AA1112.800.059.2

HS: People who were heavy smokers; MS: People who were moderate smokers; LIS: People who were light smokers; GF: Genotype frequency.

Table 4

Genotype frequency of SNP in the level of nicotine dependence by FTCD.

GeneSNP/GenotypesHD (n = 63)MD (n = 42)LD (n = 54)
CHRNA5rs16969968nGF (%)nGF (%)nGF (%)
GG3555.62661.92151.2
GA2336.51535.71843.9
AA57.912.424.9
rs17408276
TT3659.02561.02255.0
TC2439.31536.61537.5
CC11.612.437.5
rs680244
GG3352.43071.42354.8
GA2844.41023.81331.0
AA23.224.8614.3
CHRNA3rs6495307
CC3150.82866.72559.5
CT2845.91331.01331.0
TT23.312.449.5
rs12914385
CC3250.81945.22151.2
CT2539.72047.61946.3
TT69.537.112.4
NRXN1rs10865246
AA2844.41433.31638.1
AC2946.02661.91945.2
CC69.524.8716.7
rs1882296
AA3352.42559.52354.8
AG2641.31433.31842.9
GG46.337.112.4
rs985919
TT2539.71535.71126.2
TG3250.82354.82764.3
GG69.549.549.5
HTR2Ars6311
CC1930.21433.31740.5
CT3250.82457.11945.2
TT1219.049.5614.3
rs6313
GG4876.23173.83583.3
GA711.1819.049.5
AA812.737.137.1

HD: Smokers with high nicotine dependence; MD: Smokers with moderate nicotine dependence; LD: Smokers with low nicotine dependence; GF: Genotype frequency.

Table 5

Genotype frequency of SNP according to COPD status.

GeneSNP/GenotypesCOPD (n = 11)Non-COPD (n = 140)
CHRNA5rs16969968nGF (%)nGF (%)
GG545.58057.6
GA545.55136.7
AA19.185.8
rs17408276
TT327.38361.5
TC872.74734.8
CC00.053.7
rs680244
GG545.58560.7
GA545.54632.9
AA19.196.4
CHRNA3rs6495307
CC545.58360.1
CT654.54834.8
TT00.075.1
rs12914385
CC330.07251.4
CT660.05841.4
TT110.0107.1
NRXN1rs10865246
AA19.15942.1
AC763.66848.6
CC327.3139.3
rs1882296
AA218.27956.4
AG763.65438.6
GG218.275.0
rs985919
TT327.35035.7
TG654.57855.7
GG218.2128.6
HTR2Ars6311
CC981.84330.7
CT00.07553.6
TT218.12215.7
rs6313
GG1090.110675.7
GA19.01812.9
AA00.01611.4

COPD: Smokers with COPD; Non-COPD: Smokers without COPD; GF: Genotype frequency.

Genotype frequency of SNP in early and late smokers. ES: People who smoke cigarettes at an early age; LS: People who smoke cigarettes at a late age; GF: Genotype frequency. Genotype frequency of SNP in smoker status by cigarettes per day. HS: People who were heavy smokers; MS: People who were moderate smokers; LIS: People who were light smokers; GF: Genotype frequency. Genotype frequency of SNP in the level of nicotine dependence by FTCD. HD: Smokers with high nicotine dependence; MD: Smokers with moderate nicotine dependence; LD: Smokers with low nicotine dependence; GF: Genotype frequency. Genotype frequency of SNP according to COPD status. COPD: Smokers with COPD; Non-COPD: Smokers without COPD; GF: Genotype frequency.

Experimental design, materials, and methods

Participants

Subjects with ≥30 years, men and women. To determine Mexican Mestizo ancestry, subjects were asked about their parents and grandparents ancestry and not belong to an indigenous group (See Table 6).
Table 6

Genotype frequency of SNP by therapy received.

GeneSNP/GenotypesPT (n = 93)CBT (n = 47)
CHRNA5rs16969968nGF (%)nGF (%)
GG5155.42859.6
GA3538.01736.2
AA66.524.3
rs17408276
TT5158.02961.7
TC3337.51736.2
CC44.512.1
rs680244
GG5458.13063.8
GA3032.31736.2
AA99.700.0
CHRNA3rs6495307
CC5559.82860.9
CT3133.71737.0
TT66.512.2
rs12914385
CC4650.02348.9
CT3841.32348.9
TT88.712.1
NRXN1rs10865246
AA3537.62042.6
AC4750.52246.8
CC1111.8510.6
rs1882296
AA4750.52655.3
AG4346.21634.0
GG33.2510.6
rs985919
TT2931.21838.3
TG5559.12451.1
GG99.7510.6
HTR2Ars6311
CC2931.12042.5
CT4548.42451.0
TT1920.436.4
rs6313
GG6873.14187.2
GA1314.036.4
AA1212.236.4

PT: Smokers who received pharmacologic therapy and cognitive-behavioral therapy; CBT: Smokers who received only cognitive-behavioral therapy; GF: Genotype frequency.

Genotype frequency of SNP by therapy received. PT: Smokers who received pharmacologic therapy and cognitive-behavioral therapy; CBT: Smokers who received only cognitive-behavioral therapy; GF: Genotype frequency. Smokers recruited from the Smoking Cessation Support Clinic of the Department of Investigation in Tobacco Consumption and COPD at the Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas (INER) in Mexico City, with the following criteria: individuals who started smoking in adolescence (<18 years) were defined as early smokers (ES) or those who started smoking in adulthood (≥18 years) defined as late smokers (LS); these subjects have been recruited previously in our research group [2], [3].

Smoking-related variables

A survey with smoking-related variables was assessed to daily smokers. They were asked about their smoking pattern by cigarette smoked per day (cpd), classified as heavy smokers (HS, ≥20 cpd), moderate smokers (MS, 11–19 cpd) and light smokers (LIS, ≤ 10 cpd). Level on nicotine dependence was measured by Fagerström Test for Cigarette Dependence (FCTD), classified as high (HD), moderate (MD) and low dependence (LD) by their score as 7 to 10, 5 and 6, and less than 4, respectively. According to the intervention received by the physicians and psychologists, individuals were classified as only cognitive-behavioral therapy (CBT) without any pharmacological therapy (PT), and CBT plus any PT, which could include nicotine replacement therapy and/or Bupropion and Varenicline.

COPD diagnosis

As a requirement to attend the cessation sessions, participants were asked to perform spirometry in order to diagnose smoking-related diseases as chronic obstructive pulmonary disease (COPD). The diagnosis was done a physician and was based on patient medical history, physical examination, and spirometry data, with American Thoracic Society criteria. COPD was defined as an FEV1/FVC ratio of less than 70% in post-bronchodilator maneuver.

DNA extraction

A 15 mL peripheral blood sample in tubes with EDTA was obtained from each participant through forearm venipuncture. The DNA extraction was performed using BDtract DNA isolation kit (Maxim Biotech, Inc. San Francisco, California, USA) and later was quantified by spectrophotometry with a NanoDrop 2000 (Thermo Scientific, DE, USA). DNA samples with a concentration >100 ng/mL and purity with a 260/280 relation ≥2.

SNP selection

These 10 SNPs were selected because they were previously evaluated with cigarette smoking or with nicotine dependence in Mexican mestizo smokers [1].

Genotyping

Genotyping was performed using a real-time PCR (7300 Real-Time PCR system, Applied Biosystems, Foster City, CA, USA) based allelic discrimination assay using 3 μL of DNA at 15 ng/μL concentration and TaqMan probes (Applied Biosystems Foster City CA, USA). In each template, were included 3 non-template controls, and 1% of the samples were genotyped in duplicate as an allele assignment control. Detection Software (SDS v. 1.4, Applied Biosystems). VIC™ and FAM™ dyes were used for alleles A and B, respectively.

Genotype frequency

All smokers in the study were compared by full genotype frequency according to the smoking-related variables.

Ethical approval

The protocol was approved by INER science and research bioethics and biosecurity committees (protocol number B15-16).

Specifications table

Subject areaGenomic medicine
More specific subject areaGenetic epidemiology
Type of dataTables.
How data was acquiredSmoking pattern survey, allelic discrimination assay by real-time PCR (Applied Biosystems, Foster City, CA, USA)
Data formatFiltered and analyzed.
Experimental factorsPeripheral blood sample, DNA extraction by BDtract DNA isolation kit (Maxim Biotech, Inc. San Francisco, California, USA).
Experimental featuresGenotyping was performed using 3 μL of DNA at 15 ng/μL concentration and TaqMan probes (Applied Biosystems Foster City CA, USA). In each template, we included 3 non-template controls, and 1% of the samples were genotyped in duplicate as an allele assignment control.
Data source locationHLA Laboratory, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas (INER) at México City
Data accessibilityAccessible from this article; DNA sample and raw data are available for further analyses in collaborative studies.
Value of the data

Comparing and analyzing in other populations offer an opportunity to find causal genetic variants in tobacco smoking-related variables.

The analysis in mestizo smokers validates previous reports in Caucasian populations.

Further studies in other mestizo populations, with different degrees of Amerindian/Caucasian contribution, are desirables.

  3 in total

1.  Genetic variants as risk factors for cigarette smoking at an early age and relapse to smoking cessation treatment: A pilot study.

Authors:  Gloria Pérez-Rubio; Luis Alberto López-Flores; Salvador García-Carmona; Leonor García-Gómez; Valeri Noé-Díaz; Enrique Ambrocio-Ortiz; Karol J Nava-Quiroz; Fernando Morales-González; Alma D Del Angel-Pablo; Alejandra Ramírez-Venegas; Raúl H Sansores; Ramcés Falfán-Valencia
Journal:  Gene       Date:  2019-02-06       Impact factor: 3.688

2.  SNPs in NRXN1 and CHRNA5 are associated to smoking and regulation of GABAergic and glutamatergic pathways.

Authors:  Gloria Pérez-Rubio; Martha E Pérez-Rodríguez; Juan Carlos Fernández-López; Alejandra Ramírez-Venegas; Jesús García-Colunga; Federico Ávila-Moreno; Angel Camarena; Raúl H Sansores; Ramcés Falfán-Valencia
Journal:  Pharmacogenomics       Date:  2016-06-29       Impact factor: 2.533

3.  Polymorphisms in HTR2A and DRD4 Predispose to Smoking and Smoking Quantity.

Authors:  Gloria Pérez-Rubio; Alejandra Ramírez-Venegas; Valeri Noé Díaz; Leonor García Gómez; Karina Elvira Fabián; Salvador García Carmona; Luis A López-Flores; Enrique Ambrocio-Ortiz; Rocío Contreras Romero; Noé Alcantar-Ayala; Raúl H Sansores; Ramcés Falfán-Valencia
Journal:  PLoS One       Date:  2017-01-19       Impact factor: 3.240

  3 in total

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