| Literature DB >> 30872409 |
Nisha Thakur1, Pallavi Singhal1, Ravi Mehrotra2, Mausumi Bharadwaj3.
Abstract
Background: Cervical cancer is the second major female cancer in India and constitutes one-fourth of the world's burden. Human Papilloma Virus (HPV) infection is an essential but insufficient cause for cervical cancer. Genetic variants in microRNAs (miRNAs/miRs) play an important role in the susceptibility of various types of cancers.Objective: To evaluate the association of Single Nucleotide Polymorphisms (SNPs) in miR-146a (rs2910164), miR-196a2 (rs11614913), and miR-499 (rs3746444), with cervical cancer susceptibility in Indian population.Entities:
Keywords: India; SNP; biomarkers; cervical cancer; microRNA; single nucleotide polymorphisms
Year: 2019 PMID: 30872409 PMCID: PMC6465206 DOI: 10.1042/BSR20180723
Source DB: PubMed Journal: Biosci Rep ISSN: 0144-8463 Impact factor: 3.840
Characteristics of three miR SNPs investigated in the present study
| Gene ID | Organism | Molecule type | NCBI dbSNP ID | Location | Chromosome (position) | Alleles | Ancestral allele | Global MAF/minor allele count | Functional consequences |
|---|---|---|---|---|---|---|---|---|---|
| miR-146a | Genomic | rs2910164 | Pre-miRNA | 5 (160485411) | C/G | G | C = 0.2792/32442 (ExAC) | nc | |
| miR-196a2 | Genomic | rs11614913 | Pre-miRNA | 12 (53991815) | C/T | C | T = 0.3327/1666 (1000 Genomes) | nc | |
| miR-499 | Homo sapiens | Genomic | rs3746444 | pre-miRNA | 20 (34990448) | C/T | T | G = 0.1835/919 (1000 Genomes) | nc |
Abbreviation: MAF, minor allele frequency. Source: NCBI (http://www.ncbi.nlm.nih.gov) and
1000Genome (http://www.1000genomes.org)
Exome Aggregation Consortium (ExAC) (http://exac.broadinstitute.org)
NHLBI GO Exome Sequencing Project (ESP) (https://esp.gs.washington.edu)
nc, non-coding.
Distribution of miRNA genotypic and allelic frequencies in cervical cancer cases and controls
| Control ( | Cases ( | OR (95% CI) | ||
|---|---|---|---|---|
| GG | 73 (48.7) | 80 (53.3) | 1.00 (Reference) | |
| GC | 49 (32.7) | 49 (32.7) | 0.823 | 0.91 (0.54–1.52) |
| CC | 28 (18.6) | 21 (14.0) | 0.325 | 0.68 (0.35–1.31) |
| GC+CC | 77 (51.3) | 70 (46.7) | 0.488 | 0.83 (0.53–1.31) |
| G | 195 (65) | 209 (69.7) | 1.00 (Reference) | |
| C | 105 (35) | 91 (30.3) | 0.258 | 0.81 (0.57–1.14) |
| CC | 42 (28) | 75 (50) | 1.00 (Reference) | |
| CT | 51 (34) | 58 (38.7) | 0.127 | 0.64 (0.37–1.08) |
| TT | 57 (38) | 17 (11.3) | ||
| CT+TT | 108 (72) | 75 (50) | ||
| C | 135 (45) | 208 (69.3) | 1.00 (Reference) | |
| T | 165 (55) | 91 (30.7) | ||
| CC | 80 (53.3) | 78 (52.0) | 1.00 (Reference) | |
| CT | 49 (32.7) | 47 (31.3) | 0.949 | 0.98 (0.59–1.63) |
| TT | 21 (14.0) | 25 (16.7) | 0.617 | 1.22 (0.63–2.36) |
| CT+TT | 70 (46.7) | 72 (48.0) | 0.909 | 1.06 (0.67–1.66) |
| C | 209 (69.7) | 203 (67.7) | 1.00 (Reference) | |
| T | 91 (30.3) | 97 (32.3) | 0.659 | 1.09 (0.77–1.55) |
P-value, probability from chi-square test comparing the genotypic/allelic distribution in cervical cancer cases and controls. Significant P-values are shown in bold.
Combination analysis of miR-146 G/C, miR-196a2 C/T, and miR-499 C/T polymorphisms in Indian cervical cancer cases and controls
| Genotype | Controls | Cases | OR (95% CI) | |
|---|---|---|---|---|
| CC/CC | 7 (4.67) | 13 (8.67) | 1.000 (Reference) | |
| CC/CT | 9 (6) | 8 (5.33) | 0.3309 | 0.4786 (0.1274–1.798) |
| CC/TT | 12 (8) | 0 (0) | ||
| CG/CC | 17 (11.33) | 27 (18) | 1 | 0.8552 (0.2843–2.573) |
| CG/CT | 13 (8.67) | 13 (8.67) | 0.3767 | 0.5385 (0.1625–1.785) |
| CG/TT | 20 (13.33) | 9 (6) | ||
| GG/CC | 18 (12) | 35 (23.33) | 1 | 1.047 (0.3553–3.085) |
| GG/CT | 29 (19.33) | 37 (24.67) | 0.607 | 0.6870 (0.2429–1.943) |
| GG/TT | 25 (16.67) | 8 (5.33) | ||
| CC/CC | 19 (12.7) | 14 (9.33) | 1.000 (Reference) | |
| CC/CT | 5 (3.33) | 6 (4) | 0.5093 | 1.629 (0.4125–6.430) |
| CC/TT | 4 (2.67) | 1 (0.67) | 0.6295 | 0.3393 (0.03408–3.377) |
| CG/CC | 30 (20) | 29 (19.33) | 0.6636 | 1.312 (0.5558–3.096) |
| CG/CT | 13 (8.67) | 12 (8) | 0.7913 | 1.253 (0.4404–3.563) |
| CG/TT | 5 (3.33) | 9 (6) | 0.2124 | 2.443 (0.6703–8.903) |
| GG/CC | 33 (22) | 34 (22.67) | 0.5245 | 1.398 (0.6034-3.240) |
| GG/CT | 30 (20) | 30 (20) | 0.5214 | 1.357 (0.5765–3.195) |
| GG/TT | 11 (7.33) | 15 (10) | 0.2993 | 1.851 (0.6539–5.238) |
| CC/CC | 26 (17.33) | 43 (28.67) | 1.000 (Reference) | |
| CC/CT | 11 (7.33) | 23 (15.33) | 0.6659 | 1.264 (0.5306–3.012) |
| CC/TT | 5 (3.33) | 9 (6) | 1 | 1.088 (0.3288–3.603) |
| CT/CC | 26 (17.33) | 28 (18.67) | 0.2732 | 0.6512 (0.3161–1.341) |
| CT/CT | 16 (10.67) | 19 (12.67) | 0.5266 | 0.7180 (0.3148–1.638) |
| CT/TT | 9 (6) | 11 (7.33) | 0.6085 | 0.7390 (0.2700–2.023) |
| TT/CC | 29 (19.33) | 7 (4.67) | ||
| TT/CT | 22 (14.67) | 5 (3.33) | ||
| TT/TT | 6 (4) | 5 (3.33) | 0.3328 | 0.5039 (0.1397–1.818) |
To make calculation possible, 0.5 was added to each value. Abbreviation: P-value, probability from chi-square test comparing the genotypic/allelic distribution in cervical cancer cases and controls. Significant P-values are shown in bold.