| Literature DB >> 31495697 |
João Felipe Bezerra1, Heglayne Pereira Vital da Silva1, Raul Hernandes Bortolin2, André Ducati Luchessi1, Marcela Abbott Galvão Ururahy1, Melina Bezerra Loureiro1, Vera Lúcia Gil-da-Silva-Lopes3, Maria das Graças Almeida1, Viviane Souza do Amaral4, Adriana Augusto de Rezende5.
Abstract
INTRODUCTION: Non-syndromic orofacial clefts have a complex etiology due to the contribution from both genetic and environmental risk factors, as well as the interaction between them. Among the more than 15 susceptibility loci for non-syndromic orofacial clefts with considerable statistical and biological support, the IRF6 is the most validated gene by the majority of studies. Nonetheless, in genetically heterogeneous populations such as Brazilian, the confirmation of association between non-syndromic orofacial clefts and IRF6 common variants is not a consolidated fact and unrecognized IRF6 variants are poorly investigated.Entities:
Keywords: Etiologia; Etiology; Fendas orofaciais não sindrômicas; IRF6; Nonsyndromic orofacial clefts; Polimorfismo de um único nucleotídeo; Single nucleotide polymorphism
Mesh:
Substances:
Year: 2019 PMID: 31495697 PMCID: PMC9422540 DOI: 10.1016/j.bjorl.2019.04.011
Source DB: PubMed Journal: Braz J Otorhinolaryngol ISSN: 1808-8686
Clinical characteristics of studied groups.
| Case ( | Control ( | ||
|---|---|---|---|
| Male | 119 (64.1%) | 90 (49.4%) | <0.001 |
| Female | 67 (35.9%) | 92 (50.6%) | |
| 8.1 ± 7.5 | 11.7 ± 6.2 | 0.175 | |
| Cleft lip and palate (CLP) | 106 (57.0%) | ||
| Male | 84 (79.2%) | ||
| Female | 22 (20.7%) | ||
| Cleft Lip only (CL) | 42 (22.6%) | ||
| Male | 28 (66.6%) | ||
| Female | 14 (33.3%) | ||
| Cleft Palate only (CP) | 38 (20.4%) | ||
| Male | 06 (15.7%) | ||
| Female | 32 (84.2%) | ||
Chi-square test.
t-test.
Genotypic frequencies of IRF6 polymorphisms in studied groups.
| Polymorphims | Genotypes | Control | CLP + CL (%) | OR (95% CI) | CP (%) | OR (95% CI) | ||
|---|---|---|---|---|---|---|---|---|
| rs2235371 | CC | 163 (89.6%) | 129 (87.1%) | 1.00 | 0.247 | 29 (76.3%) | 1.00 | 0.016 |
| CT | 17 (9.3%) | 16 (10.8%) | 1.61 (0.84–3.10) | 05 (13.2%) | 1.65 (0.57–4.83) | |||
| TT | 02 (1.1%) | 03 (2.0%) | 2.19 (0.39–12.12) | 04 (10.5%) | 11.24 (1.97–64.22) | |||
| Minor allele carrier (CT + TT) | 19 (10.4%) | 19 (12.8%) | 1.22 (0.54–1.72) | 0.887 | 09 (23.7%) | 2.35 (0.23–3.71) | 0.033 | |
| Minor allele frequency | 21 (5.75%) | 22 (7.4%) | 1.16 (0.69–1.55) | 0.762 | 13 (17.1%) | 3.01 (0.97–8.97) | 0.004 | |
| rs642961 | GG | 133 (73.5%) | 112 (74.3%) | 1.00 | 0.754 | 30 (76.9%) | 1.00 | 0.590 |
| GA | 43 (23.8%) | 29 (19.5%) | 0.84 (0.51–1.39) | 07 (17.9%) | 0.72 (0.30–1.76) | |||
| AA | 05 (2.8%) | 06 (6.2%) | 1.17 (0.35–3.94) | 02 (5.1%) | 1.77 (0.33–9.58) | |||
| Minor allele carrier (GA + AA) | 48 (26.6%) | 35 (25.7%) | 1.56 (0.98–5.67) | 0.587 | 09 (23.0%) | 2.34 (0.96–5.98) | 0.672 | |
| Minor allele frequency | 53 (14.7%) | 42 (15.9%) | 1.89 (0.34–3.27) | 0.892 | 11 (14.0%) | 3.57 (0.64–4.57) | 0.748 | |
| rs2236907 | CC | 93 (51.3%) | 65 (43.6%) | 1.00 | 0.216 | 20 (51.3%) | 1.00 | 0.384 |
| CA | 57 (31.7%) | 51 (34.8%) | 0.80 (0.50–1.26) | 10 (25.6%) | 1.24 (0.54–2.84) | |||
| AA | 28 (15.5%) | 32 (21.6%) | 1.31 (0.71–2.42) | 09 (23.1%) | 2.04 (0.74–5.62) | |||
| Minor allele carrier (CA + AA) | 85 (47.2%) | 83 (56.4%) | 2.01 (1.17–3.12) | 0.465 | 19 (48.7%) | 3.25 (0.12–12.89) | 0.872 | |
| Minor allele frequency | 113 (31.3%) | 115 (39.0%) | 1.69 (0.82–2.89) | 0.567 | 28 (35.9%) | 2.12 (0.45–5.12) | 0.723 | |
| rs861019 | AA | 85 (46.1%) | 72 (48.9%) | 1.00 | 0.827 | 20 (52.6%) | 1.00 | 0.396 |
| AG | 64 (35.0%) | 50 (34.2%) | 1.08 (0.69–1.72) | 15 (39.4%) | 1.01 (0.48–2.13) | |||
| GG | 33 (18.9%) | 26 (16.9%) | 0.91 (0.50–1.66) | 03 (7.8%) | 0.49 (0.15–1.61) | |||
| Minor allele carrier (CA + AA) | 97 (53.9%) | 76 (51.1%) | 1.98 (1.21–2.93) | 0.657 | 18 (47.2%) | 2.78 (1.12–3.27) | 0.827 | |
| Minor allele frequency | 130 (36.4%) | 106 (34.0%) | 1.23 (0.67–3.56) | 0.734 | 23 (27.5%) | 3.89 (0.45–6.34) | 0.645 | |
| rs1044516 | AA | 99 (55.0%) | 88 (59.4%) | 1.00 | 0.645 | 20 (51.3%) | 1.00 | 0.893 |
| AC | 71 (39.4%) | 52 (35.1%) | 0.82 (0.53–1.26) | 17 (43.6%) | 1.19 (0.58–2.42) | |||
| CC | 10 (5.6%) | 08 (5.4%) | 0.84 (0.33–2.15) | 02 (5.1%) | 0.99 (0.20–4.87) | |||
| Minor allele carrier (AG + GG) | 81 (45.0%) | 60 (40.5%) | 2.10 (1.02–3.65) | 0.362 | 19 (48.7%) | 1.87 (1.65–3.01) | 0.574 | |
| Minor allele frequency | 91 (25.3%) | 68 (22.9%) | 3.21 (0.75–4.96) | 0.824 | 21 (26.9%) | 3.15 (0.89–4.56) | 0.897 | |
Significant association, p < 0.05.
CLP, Cleft Lip and Palate; CL, Cleft Lip only; CP, Cleft Palate only.
Figure 1Pairwise linkage disequilibrium plot of IRF6/rs1044516, rs2235371, rs2236907, rs861019, and rs642961 in the combined sample (cases & controls) showing r2 (×100) values. The block is designed according to the internally developed solid spine of linkage disequilibrium (LD). The value within each diamond represents the pairwise correlation between pairs of Single-nucleotide polymorphisms (SNPs) (measured as 100 × r2) defined by the upper left and the upper right sides of the diamond. Below are showed the frequency of each haplotype.