| Literature DB >> 29845028 |
Safoora Pordel1, Kazem Nemati1, Mohammad Hossein Karimi2, Mehrnoosh Doroudchi1.
Abstract
BACKGROUND: In the human evolutionary history, Single Nucleotide Polymorphism (SNP) frequencies are valuable in terms of finding connections between different populations. Due to the pronounced role of the immune system in combating pathogens and environmental stressors, polymorphisms in the immune genes are subject to selection pressure of the diseases as well. The functional polymorphisms in NF-κB1 promoter (-94 ins/del) are associated with different diseases; therefore, we aimed to establish the frequencies of NF-κB1 rs28362491 alleles in a population of Southwestern Iranians in comparison with the world populations.Entities:
Keywords: Iran; NF-κB1; Normal population; PCR–RFLP; Polymorphism
Year: 2018 PMID: 29845028 PMCID: PMC5971177
Source DB: PubMed Journal: Iran J Public Health ISSN: 2251-6085 Impact factor: 1.429
The structures of primers and required restriction enzyme, as well as length of PCR product is presented
| NF-κB1-94 ins/del ATTG | Forward | 285 | Van91I (PflMI) |
Fig. 1:The RFLP products of -94NFκB ins/del ATTG are shown
Genotype distribution of -94 NF-κB1 ins/del ATTG
| ins/ins | 93 (46.97) | 81 | 12 |
| ins/del | 84 (42.42) | 75 | 9 |
| del/del | 21 (10.61) | 18 | 3 |
| Allele | % | % | |
| ins | 68.18 | 68.18 | |
| del | 31.82 | 31.82 | |
Genotype frequency of -94 ins/del NF-κB1 in different populations
| Turkish 1 (20) | 46 (46.47) | 47 (47.47) | 6 (6.06) | ns |
| Turkish 2 (54) | 30 | 58 | 12 | 0.01 |
| Turkish 3 (women) (55) | 50 (27) | 113 (59) | 27 (14) | 0.0001 |
| Chinese 1 (56) | 43 (21.3) | 100 (49.75) | 58 (28.85) | <0.0001 |
| Chinese 2 (17) | 113 (24) | 266 (58) | 79 (17) | <0.0001 |
| Chinese 3 (57) | 20 (17.24) | 62 (53.45) | 34 (29.31) | <0.0001 |
| Chinese 4 (58) | 97 (24) | 183 (45.30) | 124 (30.70) | <0.0001 |
| Chinese 5 (59) | 44 (30.77) | 68 (47.55) | 31 (21.68) | 0.001 |
| Chinese 6 (women)(60) | 135 (36.99) | 166 (45.48) | 64 (17.53) | 0.02 |
| Chinese 7 (61) | 379 (34.64) | 562 (51.37) | 153 (13.98) | 0.003 |
| Chinese 8 (62) | 81 (15.58) | 271 (52.11) | 168 (32.31) | < 0.0001 |
| German (63) | 118 (38.44) | 141 (45.93) | 45 (15.63) | ns |
| Malaysian (64) | 16 (6.75) | 138 (58.23) | 83 (35.02) | < 0.0001 |
| Brazilian (women) (7) | 55 (29.1) | 88 (46.6) | 46 (24.3) | < 0.0001 |
| Chinese-HAN (15) | 222 (36.0) | 291 (47.2) | 103 (16.7) | 0.01 |
| Chinese-UYGHUR (15) | 147 (41.3) | 161 (45.2) | 48 (13.5) | ns |
| Chinese 9 (women) (65) | 135 (37.0) | 166 (45.5) | 64 (17.5) | 0.0001 |
| Chinese 10 (14) | 166 (31.6) | 252 (48.0) | 107 (20.4) | 0.0001 |
| American non-Jewish (18) | 58 (38.9) | 70 (47) | 21 (14.1) | ns |
| American Jewish (18) | 61 (43) | 65 (45.8) | 16 (11.3) | ns |
| Danish (66) | 267(34.28) | 385 (49.42) | 127 (16.30) | 0.002 |
| Spanish (67) | 31 (31.3) | 53 (53.5) | 14 (15.2) | 0.03 |
| Swedish 1 (68) | 116 (26.0) | 255 (59.0) | 67 (15) | < 0.0001 |
| Swedish 2 (17) | 116 (26.0) | 256 (58.0) | 67 (15) | < 0.0001 |
| Swedish 3 (69) | 256(41.16) | 270(43.41) | 96(15.43) | ns |
| Southeast Iranian (women) (33) | 62(30.5) | 106(52.2) | 35(17.2) | 0.002 |
| Our studied population | 93 (46.97) | 84 (42.42) | 21 (10.61) |
Fig. 2:The geographic distribution of populations in which -94 NF-κB1 94 ins/del ATTG polymorphism is reported. The red line represents the silk road
Fig. 3:Comparison of the frequency of mutant allele in different human populations