Polymorphisms in the Cholinergic Receptors Muscarinic (CHRM2 and CHRM3) Genes and Alzheimer’s Disease

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PMID: 30090216 (PubMed) - PMCID: PMC6064004 - View online: PubReader
Volume 10, Issue 3, July-September 2018, Page 196 to 199
Tuesday, July 25, 2017 :Received , Tuesday, October 17, 2017 :Accepted

• Ya Chee, Lim Pengiran Anak Puteri Rashidah Sa'adatul Bolkiah Institute of Health Sciences, Universiti Brunei Darussalam, Jalan Tungku Link, BE 1410, Gadong, Brunei Darussalam, Tel: +673 246 0922 ext 2218, Fax: +673 246 3062, E-mail: yachee.lim@ubd.edu.bn
  - Pengiran Anak Puteri Rashidah Sa'adatul Bolkiah Institute of Health Sciences, Universiti Brunei Darussalam, Jalan Tungku Link, BE 1410, Gadong, Brunei Darussalam

• Cumming, Alaistair
  - Pengiran Anak Puteri Rashidah Sa'adatul Bolkiah Institute of Health Sciences, Universiti Brunei Darussalam, Jalan Tungku Link, BE 1410 , Gadong, Brunei Darussalam

Alzheimer’s Disease (AD) is an intricate neurodegenerative disorder of the Central Nervous System (CNS) ¹. Muscarinic acetylcholine receptors (mAchRs) are G-protein coupled receptors located in neurons of the nervous system, cardiac and smooth muscles ^2,3. CHRM2 gene is involved in neuronal excitability, synaptic plasticity, release of acetylcholine and  cognitive function ^4,5. rs6962027 of CHRM2 gene was reported to be involved in varying personality traits of agreeableness and conscientiousness, which may modulate molecular function of the gene or protein, and therefore AD development. CHRM3 is well-distributed throughout the nervous system and heterodimerizes with CHRM2 to form heterodimers ⁶. The C-terminal tail of CHRM3 has anti-apoptotic properties. The aim of this study was to investigate the association of the polymorphic variation in CHRM2 gene (rs6962027) and CHRM3 gene (rs7511970) in relation to early- and late-onset of Alzheimer’s disease.

Subjects: Samples from 240 Alzheimer’s Disease (AD) patients were collected, analyzed and divided into two categories, namely, the early-onset AD group (samples from AD patients below 65 years old) and late-onset AD group. These samples included randomly selected samples from Edinburgh, UK [named ADE samples (n=106)] and from Aberdeen [named HFR samples (n=5)]. The other category was the late-onset AD group, randomly selected from Edinburgh [named AD samples (n=71)] and from Aberdeen [named HFR samples (n=25)]. The controls were made up of 128 healthy individuals randomly selected in Glasgow [P population (n=182)]. Aberdeen Birth Cohort (ABC) Study samples  provided 196 cases.
Genotyping: Genomic DNA samples were obtained by standard procedures from peripheral blood ⁷. The samples were amplified by Polymerase Chain Reaction (PCR) and genotyped using Restriction Fragment Length Polymorphism (RFLP). Two Single Nucleotide Polymorphisms (SNPs) were identified, namely, rs6962027 and rs7511970 for genotyping.
Restriction Fragment Length Polymorphism (RFLP): RFLP was done to investigate the allelic variant that each sample contained. Each sample was amplified via Polymerase Chain Reaction. Restriction enzymes of Bcc1 and BstN1 (New England Biolabs, Inc., USA) were used to detect allelic variant of the SNP rs6962027 in CHRM2 gene and SNP rs7511970 of CHRM3 gene, respectively. 
Data analysis
Gene-disease association analysis: Comparisons of the allelic and the genotypic frequencies between different sample populations were done to determine if there was an association between controls (P populations and ABC populations) and the patient populations (ADE, AD and HFR samples).
Chi-squared test and Hardy-Weinberg Equilibrium: Chi-squared test was carried out and each population is considered to be in Hardy-Weinberg Equilibrium when χ² value was less than 3.84 (equivalent to the p-value at 0.05).

The five sample populations genotyped for CHRM2 (SNP rs6962027) and CHRM3 (SNP rs7511970) gene analyzed by RFLP are tabulated in table 1 in terms of genotypic and allelic frequencies of the sample populations. Table 1 shows similar genotypic and allelic frequencies for both P and ABC populations of the two CHRM genes. These two healthy populations are the control population. The frequencies of the major allele (A) and the minor (T) for CHRM2 (SNP rs6962027) gene are 0.53 and 0.47, respectively. The frequencies for ADE, AD and HFR populations of CHRM2 (SNP rs6962027) gene were almost equal (Table 1), averaging to 0.57 (for A allele) and 0.43 (for T allele) for the patient population. A reduction in the allelic frequency of the T (minor) allele is observed in the patient population. The heterozygotes (AT) and rare homozygotes (TT) occur less frequently in the patient group, showing a small decline in frequencies. A consistent trend in frequencies is observed for all the sample populations. The disparity in frequencies between A and T alleles is wider in the patient populations (ADE, AD and HFR). For SNP rs7511970 of CHRM3 gene, the allelic frequencies for G allele and A allele are 0.53 and 0.47 correspondingly. There is a wider gap between the major allele (G) and minor allele (T) relative to other sample populations, suggesting that the G allele has an effect on late-onset AD. Nevertheless, no significant difference is found between these two populations (Tables 1 and 2).
The χ² values of all sample populations of both CHRM2 (SNP rs6962027) and CHRM3 (rs7511970) polymorphic genes are in Hardy-Weinberg Equilibrium. To investigate if there is any bias in terms of genotypic frequency, the genotypic frequencies are stratified in terms of males and females. Depending on the age the patient was diagnosed with AD, HFR population is categorized into either ADE for early-onset or AD for late-onset. The G-values for CHRM2 (rs6962027) polymorphic gene were 0.17 for ADE population and 1.34 for AD population, while for the CHRM3 (rs7511970) polymorphic gene, the G-values were 1.54 for ADE population and 0.13 for AD population (Table 3). Therefore, at 5% significance level, there is no significant difference between the male and female developing AD for both CHRM genes.
rs6962027 is located in the 3’UTR region of CHRM2 gene. Table 4 illustrates the possible configurations of genotypes in an individual which may make up the haplotype. Table 5 shows a consistent change in TT/TT genotypic combination of the two loci (rs6962027 and rs6969811) of CHRM2 gene. This signifies that further analysis between the TT/TT and other haplotypes genotypic combinations is needed.  In addition, it is noted that the frequencies of P and ABC populations, as well as for AD and ADE population, are comparable.
This is a classic case-control experiment with healthy and diseased individuals with Pearson χ² test statistic to test the association by use of unrelated controls. The values obtained illustrated no association between CHRM2 rs6262027A polymorphic variant or CHRM3 rs7511970T polymorphic variant and AD (Table 6).

The muscarinic acetylcholine receptors are drug targets for neurodegenerative diseases. All five subtypes of the CHRM genes are expressed in mouse brain endothelial cells. Recent findings report that the mRNA expression of CHRM2 and CHRM3 corresponds to the protein concentrations ⁸. However, no statistically significant association was found between this polymorphic variant of the gene with AD. An interesting trend was shown between the control and patient populations. There was a decrease of AT heterozygotes and TT rare homozygotes in the patient populations, even though CHRM2 rs6962027 polymorphic gene was observed to be in Hardy-Weinberg Equilibrium. 
Statistically, rs7511970 of CHRM3 gene is not found to be associated with AD development in this study. Yet, SNP rs7511970G polymorphic variant of this gene showed an interesting trend with respect to late-onset AD. In the late-onset AD population, an increase in GG genotype was prominent. In the AD population, the GG genotype was almost equal in frequency to GA genotype. However, statistical analysis did not yield significant result for this observation. CHRM3 polymorphic variant gene was shown to be in Hardy-Weinberg Equilibrium. SNP rs7511970 polymorphic variant CHRM3 gene did not show any significance with early-onset AD, but there is a possibility that this SNP rs7511970G variant may exert a weak influence on late-onset AD. As this study consists only of small sample sizes, increasing the data set and the number of SNP markers would be useful to confirm the results obtained.
The combined haplotypic analysis of the two SNPs (rs6962027 and rs6969811) of CHRM2 gene demonstrated an increase in frequency in the cases (patients) when both SNPs were TT. At one degree of freedom, the combination of TT/TT genotype yielded a value close to the critical value at 5% significance level. Thus, the combination of TT/TT genotype may be observed to modulate AD risk and therefore the sample size of the populations in this study should be increased. Since SNP rs6969811 of CHRM2 gene is highly significant for AD development, its interaction with another SNP may enhance or reduce the effect of AD risk. As CHRM3 receptors were reported to heterodimerize with CHRM2, it is possible that CHRM3 genes share a few roles as CHRM2 genes and may  have similar physiological effects ⁶.
Different polymorphic variants in these CHRM genes may have different levels of impact on the translational efficiency of the messenger RNA, transcribed from the respective gene, and so result in different outcomes for the disease risk. Therefore, genotyping more markers in a single gene (either CHRM2 or CHRM3) would give a better picture of the effect on AD risk. In summary, this study has indicated a plausible weak effect of the combined TT in both SNPs rs6962027 and rs7511970 of CHRM2 gene on AD risk.

This study concludes that there is no association between SNP rs6962027 of CHRM2 gene and AD, as well as between rs7511970 of CHRM3 gene and AD. However, it is plausible that SNP rs7511970 of CHRM3 gene may exert an influence on late-onset AD that can only be detected with a larger sample population. As AD is a complex disease with many susceptible genes awaiting confirmation, concept of epistasis is highly applicable, as many varying genes may influence the outcome of AD confounded by the role of the environment. Therefore, tackling this puzzle of complex neurodegenerative AD is an intricate process that takes into account gene-gene interaction, gene-environment interaction and genotype-genotype.

This work was a Masters project of Lim Ya Chee, who was sponsored by Ministry of Education of Brunei Darussalam. This work was conducted at University of Aberdeen, Scotland, United Kingdom under the supervision of Mr Alaistair Cumming.

Larger Image Table 1. Genotyping and allele frequencies of CHRM2 (SNP rs6962027) and CHRM3 (SNP rs7511970) polymorphic genes The control population is composed of P and ABC populations, while the patient (case) population is made up of ADE, AD and HFR populations. The whole number (such as 49 for genotype AA in P population) denotes the number of samples that possess this particular genotype in this sample in this study, whereas the number in the bracket (such as 0.27 for AA genotype in P population) denotes the genotypic frequencies. The last two columns display the allelic frequencies.

Larger Image Table 2. Comparisons between genotypic and allelic frequencies of control (P and ABC) populations and late-onset AD patient (AD sample population with the late-onset AD samples from HFR) population for CHRM3 gene The G-value obtained for the genotypic frequencies and allelic frequencies from the data tabulated here are 1.15 and 0.56, respectively (NS).

Larger Image Table 3. Genotypic frequencies in males and females of AD and ADE populations The G-value obtained for ADE population of CHRM2 gene is 0.17 (NS), for AD population of CHRM2 gene is 1.34 (NS), for ADE population for CHRM3 gene is 0.17 (NS) and for AD population for CHRM3 gene is 1.34 (NS).

Larger Image Table 4. Possible haplotypic configurations for the genotypes at these two loci (rs6962027 and rs6969811) There are nine possible configurations. Note that when the individual is heterozygous for both loci, the phase of the haplotype is unknown.

Larger Image Table 5. Summary table displaying the frequencies of the different combinations of the genotypes at the two loci on CHRM2 gene (rs6962027 and rs6969811) The whole numbers (such as 43 in the P population) denotes the number of individuals with that particular combination of haplotypes (in this case, AT/AT). Frequencies are calculated and stated in brackets (such as 0.24 in P population for AT/AT).

Larger Image Table 6. Contingency table illustrating the difference in haplotype combination frequencies between the two loci on CHRM2 gene (rs6962027 and rs6969811) in various populations The G-value obtained is 3.65 (NS) at one degree of freedom.