The Role of Genetic Variants in the Long Non-Coding RNA Genes MALAT1 and H19 in the Pathogenesis of Childhood Obesity
Abstract
:1. Introduction
2. Results
2.1. Characteristics of Studied Population
2.2. Genotype of the SNP rs3200401 in the MALAT1 Gene Has a Positive Association with the Obesity Risk
2.3. Genotype of the SNP rs217727 in the H19 Gene Has a Negative Association with the Obesity Risk
3. Materials and methods
3.1. Ethics Statement
3.2. Study Participants and Sample Collection
3.3. Biochemical Analysis and Obesity Assessment
3.4. SNP Selection
3.5. DNA Extraction and Genotyping
3.6. Statistical Analysis
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
AC | Atherogenic coefficient |
BMI | Body mass index |
CI | Confidence interval |
GWAS | Genome-wide association studies |
HDLc | High-density lipoprotein cholesterol |
HOMAIR | Homeostatic Model Assessment for Insulin Resistance |
IR | Insulin resistance |
LDLc | Low-density lipoprotein cholesterol |
LncRNA | Long non-coding RNA |
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Control | INS-S | INS-R | p-Value | |
---|---|---|---|---|
n = 50 | n = 50 | n = 50 | ||
Age | 10.46 ± 3.23 | 10.89 ± 3.73 | 13.56 ± 2.43 | |
Gender | ||||
Male | 32 | 28 | 32 | |
Female | 18 | 22 | 18 | |
Total cholesterol | 3.93 ± 0.7 | 3.80 ± 0.8 | 3.84 ± 0.7 | 0.6551 |
HDL | 1.41 ± 0.35 | 1.45 ± 0.39 | 1.15 | 0.0018 |
LDL | 2.24 ± 0.54 | 1.97 ± 0.63 | 1.97 ± 0.61 | 0.0316 |
VLDL | 0.29 | 0.38 | 0.65 ± 0.32 | <0.0001 |
TG | 0.59 | 0.77 | 1.32 ± 0.66 | <0.0001 |
AC | 1.71 | 1.75 | 2.37 ± 0.99 | 0.0138 |
Glucose | 4.84 | 4.83 ± 0.5 | 4.97 ± 0.81 | 0.3045 |
Insulin | 11.68 ± 3.87 | 16.59 ± 4.8 | 37.14 | <0.0001 |
HOMA-IR | 2.51 ± 0.9 | 3.32 | 7.82 | <0.0001 |
Obese n (%) | Controls n (%) | p | OR (95% CI) | ||
---|---|---|---|---|---|
Control vs. Total obese | Genotype | 100 | 50 | 0.0009 | |
CC | 48 (48%) | 40 (80%) | R 1 | ||
CT | 46 (46%) | 9 (18%) | 0.0005 | 4.259 (1.93–10.18) | |
TT | 6 (6%) | 1 (2%) | 0.4251 | 3.128 (0.4844–36.57) | |
CT + TT | 52 | 10 | 0.0002 | 4.333 (1.934–9.319) | |
Alleles | |||||
C | 142 (71%) | 89 (89%) | R | ||
T | 58 (29%) | 11 (11%) | 0.0004 | 3.305 (1.64–6.622) |
INS-S n | Control n | ||||
---|---|---|---|---|---|
Control vs. INS-S | Genotype | 50 | 50 | 0.0002 | |
CC | 20 (40%) | 40 (80%) | R | ||
CT | 29 (58%) | 9 (18%) | <0.0001 | 6.444 (2.61–15.21) | |
TT | 1 (2%) | 1 (2%) | >0.9999 | 1 (0.05168–19.35) | |
CT + TT | 30 | 10 | <0.0001 | 6 (2.529–14.43) | |
Alleles | |||||
C | 69 (69%) | 89 (89%) | R | ||
T | 31 (31%) | 11 (11%) | 0.0008 | 3.635 (1.731–8.025) | |
INS-R n | INS-S n | ||||
INS-S vs. INS-R | Genotype | 50 | 50 | 0.0283 | |
CC | 28 (56%) | 20 (40%) | R | ||
CT | 17 (34%) | 29 (58%) | 0.0422 | 0.4187 (0.1803–0.9964) | |
TT | 5 (10%) | 1 (2%) | 0.2044 | 5.444 (0.6843–65.28) | |
CT + TT | 22 | 30 | 0.1609 | 0.5238 (0.2449–1.173) | |
Alleles | |||||
C | 73 (73%) | 69 (69%) | R | ||
T | 27 (27%) | 31 (31%) | 0.6404 | 0.8232 (0.4536–1.551) |
Obese n | Controls n | p | OR (95% CI) | ||
---|---|---|---|---|---|
Control vs. Total obese | Genotype | 100 | 48 | 0.9547 | |
GG | 56 (56%) | 28 (58.33%) | R | ||
GA | 38 (38%) | 17 (35.42%) | 0.8536 | 1.118 (0.5305–2.317) | |
AA | 6 (6%) | 3 (6.25%) | >0.9999 | 0.9574 (0.255–3.622) | |
GA + AA | 44 | 20 | 0.8601 | 1.1 (0.5542–2.264) | |
Alleles | |||||
G | 150 (75%) | 73 (76.04%) | R | ||
A | 50 (25%) | 23 (23.96%) | 0.8863 | 1.058 (0.604–1.905) | |
INS-S n | Controls n | ||||
Control vs. INS-S | Genotype | 50 | 48 | 0.7967 | |
GG | 26 (52%) | 28 (58.33%) | R | ||
GA | 21 (42%) | 17 (35.42%) | 0.5318 | 1.33 (0.594–3.059) | |
AA | 3 (6%) | 3 (6.25%) | >0.9999 | 0.9574 (0.2148–4.27) | |
GA + AA | 24 | 20 | 0.5492 | 1.292 (0.5659–2.755) | |
Alleles | |||||
G | 73 (73%) | 73 (76.04%) | R | ||
A | 27 (27%) | 23 (23.96%) | 0.7433 | 1.174 (0.6147–2.289) | |
INS-R n | INS-S n | ||||
INS-S vs. INS-R | Genotype | 50 | 50 | 0.7023 | |
GG | 30 (60%) | 26 (52%) | R | ||
GA | 17 (34%) | 21 (42%) | 0.5286 | 0.7016 (0.3081–1.553) | |
AA | 3 (6%) | 3 (6%) | >0.9999 | 1 (0.2244–4.455) | |
GA + AA | 20 | 24 | 0.5459 | 0.7222 (0.341–1.627) | |
Alleles | |||||
G | 77 (77%) | 73 (73%) | R | ||
A | 23 (23%) | 27 (27%) | 0.6245 | 0.8076 (0.4159–1.54) |
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Shkurat, T.P.; Ammar, M.; Bocharova, O.; Teplyakova, E.; Aleksandrova, A.; Ali, R.; Lipovich, L. The Role of Genetic Variants in the Long Non-Coding RNA Genes MALAT1 and H19 in the Pathogenesis of Childhood Obesity. Non-Coding RNA 2023, 9, 22. https://doi.org/10.3390/ncrna9020022
Shkurat TP, Ammar M, Bocharova O, Teplyakova E, Aleksandrova A, Ali R, Lipovich L. The Role of Genetic Variants in the Long Non-Coding RNA Genes MALAT1 and H19 in the Pathogenesis of Childhood Obesity. Non-Coding RNA. 2023; 9(2):22. https://doi.org/10.3390/ncrna9020022
Chicago/Turabian StyleShkurat, Tatiana Pavlovna, Manar Ammar, Olga Bocharova, Elena Teplyakova, Anzhela Aleksandrova, Ruba Ali, and Leonard Lipovich. 2023. "The Role of Genetic Variants in the Long Non-Coding RNA Genes MALAT1 and H19 in the Pathogenesis of Childhood Obesity" Non-Coding RNA 9, no. 2: 22. https://doi.org/10.3390/ncrna9020022