| Literature DB >> 30086704 |
Marina V Zytsar1,2, Nikolay A Barashkov3,4, Marita S Bady-Khoo5, Olga A Shubina-Olejnik6, Nina G Danilenko6, Alexander A Bondar7, Igor V Morozov2,7, Aisen V Solovyev3,4, Valeriia Yu Danilchenko1,2, Vladimir N Maximov1, Olga L Posukh8,9.
Abstract
BACKGROUND: Mutations in GJB2 gene are a major causes of deafness and their spectrum and prevalence are specific for various populations. The well-known mutation c.35delG is more frequent in populations of Caucasian origin. Data on the c.35delG prevalence in Russia are mainly restricted to the European part of this country. We aimed to estimate the carrier frequency of c.35delG in Western Siberia and thereby update current data on the c.35delG prevalence in Russia. According to a generally accepted hypothesis, c.35delG originated from a common ancestor in the Middle East or the Mediterranean ~ 10,000-14,000 years ago and spread throughout Europe with Neolithic migrations. To test the c.35delG common origin hypothesis, we have reconstructed haplotypes bearing c.35delG and evaluated the approximate age of c.35delG in Siberia.Entities:
Keywords: Deafness; GJB2, c.35delG; Haplotypes; Siberia
Mesh:
Substances:
Year: 2018 PMID: 30086704 PMCID: PMC6081885 DOI: 10.1186/s12881-018-0650-5
Source DB: PubMed Journal: BMC Med Genet ISSN: 1471-2350 Impact factor: 2.103
Primer sequences for PCR, fragment analysis and Sanger sequencing
| c.35delG and studied markers (localization, GRCh38.p12)a | Primer sequences | Methods of detection |
|---|---|---|
| c.35delG | F: 5′-GGTGAGGTTGTGTAAGAGTTGG-3′ | PCR-mediated site-directed mutagenesis (PSDM) with use of |
| D13S141b | F: 5’-GTCCTCCCGGCCTAGTCTTA-3’ (6-FAM) | Fragment analysis (GeneScan 500 LIZ) on ABI 3130XL (Applied Biosystems) |
| D13S175b | F: 5’-TATTGGATACTTGAATCTGCTG-3’ (PET) | |
| D13S1853b | F: 5’- CAGACTGGCACAAACTTAACTG −3’ (6-FAM) | |
| rs3751385 | F: 5’-GGCTGGTGAAGTGCAACG-3′ | PCR-RFLP analysis with use of |
aLocalization was taken from the Ensembl Genome browser [53]; b - Specific primer sequences for PCR amplification of microsatellites D13S141, D13S175, and D13S1853 were obtained from the Ensembl genome browser and the NCBI Probe Database [53, 54], one from each primer pairs was labeled with the fluorescent dyes
Fig. 1Distribution of the c.35delG carrier frequency on the territory of Russia and in some countries of the former Soviet Union. The c.35delG carrier frequencies (%) were obtained from all available data published up to 2018 (Additional file 1: Table S1). Codes from 1 to 36 indicate analyzed samples (region under study and/or ethnicity which were indicated in the original publications). In some cases, c.35delG carrier frequency was calculated by us from the data given in original publications. The maximum value of the c.35delG carrier frequency is used for the figure if there are several data sets for a region or an ethnically stratified sample. Codes : – Estonia (4.4–4.5%), – Lithuania (1.0%), – Belarus (3.4–6.2%), – Ukraine (3.3–4.1%); : – residents of Kaliningrad and Kaliningradskaya Oblast’ (7.5%), - residents of Pskov and Pskovskaya Oblast’ (2.0–4.7%), - residents of St. Petersburg and Leningradskaya Oblast’ (3.3–5.9%), - residents of Arkhangelsk and Arkhangelskaya Oblast’ (5.0%); : – residents of different regions (3.8–5.1%); – Russians (Kirovskaya Oblast’) (3.8%); : – Komi (0%), - Mari (2.0–2.6%), - Udmurts (0.5–3.7%), – Mordvins (5.7–6.2%), – Chuvashes (0–2.6%), - Russians (5.0%), - Tatars (1.0–2.6%), - Bashkirs (0–3.6%), – Russians (Ekaterinburg) (2.2%); : - Russians (Novosibirsk, Western Siberia) (4.1%), – Altaians (0%), – Tuvinians (0%); - Buryats (0%); - Yakuts (0.4–1.0%), - Russians (Yakutia, Eastern Siberia) (2.5%); : - residents of Rostovskya Oblast’ (Russians) (2.9%), – Cherkessians (1.3–2.0%), – Karachays (0.3%), - Ingush (0–2.0%), - Chechens (0–0.7%), - Avars (0%); – Abkhazians (3.8%), – Armenians (3.7%); : - Uzbeks (0%), - Kazakhs (0.8%), - Uighurs (0.9%)
Allele frequencies of D13S141, D13S175, D13S1853, and rs3751385 in the c.35delG homozygotes and in the control samples (individuals without c.35delG)
| Markers (location from c.35delG) | Allelea | Homozygotes for c.35delG ( | Control samples ( | |||||
|---|---|---|---|---|---|---|---|---|
| Number of alleles | Allele frequency | χ2 | p | δ | Number of alleles | Allele frequency | ||
| D13S141 | 120 | 0 | 0.0000 | – | – | 0.0000 | 0 | 0.0000 |
| 122 | 0 | 0.0000 | – | – | 0.0000 | 0 | 0.0000 | |
| 124 | 16 | 0.3333 | 7.8 |
| −0.5953 | 78 | 0.5821 | |
| 126 | 32 | 0.6667 | 11 |
|
| 51 | 0.3806 | |
| 128 | 0 | 0.0000 | 0.71 | 0.2121 | −0.0387 | 5 | 0.0373 | |
| Total | 48 | 134 | ||||||
| rs3751385 | C | 0 | 0.0000 | 76 |
| −5.1652 | 62 | 0.8378 |
| T | 46 | 1.0000 | 76 |
|
| 12 | 0.1622 | |
| Total | 46 | 74 | ||||||
| D13S175 | 99 | 0 | 0.0000 | 0.002 | 0.5410 | −0.0151 | 2 | 0.0149 |
| 101 | 0 | 0.0000 | 2.1 | 0.0591 | −0.0720 | 9 | 0.0672 | |
| 103 | 2 | 0.0417 | 7.3 |
| −0.2467 | 31 | 0.2313 | |
| 105 | 41 | 0.8542 | 28 |
|
| 53 | 0.3955 | |
| 107 | 0 | 0.0000 | 2.5 |
| −0.0806 | 10 | 0.0746 | |
| 109 | 4 | 0.0833 | 0.45 | 0.2570 | −0.0589 | 18 | 0.1343 | |
| 111 | 0 | 0.0000 | 0.002 | 0.5410 | −0.0151 | 2 | 0.0149 | |
| 113 | 1 | 0.0208 | 0.46 | 0.2616 | −0.0413 | 8 | 0.0597 | |
| 115 | 0 | 0.0000 | 0.29 | 0.7363 | −0.0076 | 1 | 0.0075 | |
| Total | 48 | 134 | ||||||
| D13S1853 | 200 | 1 | 0.0208 | 0.092 | 0.4074 | −0.0251 | 6 | 0.0448 |
| 202 | 34 | 0.7083 | 23 |
|
| 40 | 0.2985 | |
| 204 | 8 | 0.1667 | 16 |
| −0.6920 | 68 | 0.5075 | |
| 206 | 5 | 0.1042 | 0.17 | 0.3497 | −0.0439 | 19 | 0.1418 | |
| 208 | 0 | 0.0000 | 0.29 | 0.7363 | −0.0076 | 1 | 0.0075 | |
| Total | 48 | 134 | ||||||
- Designation of the STR allele corresponds to its size in nucleotides; δ - measure of linkage disequilibrium; the maximum indices of linkage disequilibrium and statistically significant (p < 0.05) differences in allele frequencies between the c.35delG homozygotes and the control samples are in bold
Fig. 2The D13S141-D13S175-D13S1853 haplotypes in studied samples. a Distribution of the D13S141-D13S175-D13S1853 haplotypes reconstructed by the Arlequin software (EM algorithm) in the c.35delG homozygotes (pink bars) and in the control samples (green bars) (see explanation in text). n – number of haplotypes. b The D13S141-rs3751385-c.35delG-D13S175-D13S1853 haplotypes found in the c.35delG homozygotes. N - number of individuals. The most frequent haplotypes are highlighted in color: 126-T-105-202 – by red, 124-T-105-202 – by blue; nt - not tested
The most common D13S141-c.35delG-D13S175 haplotypes in different populations
| Common haplotypes | Geographical region (Ethnicity) | References |
|---|---|---|
| 126 a-105 (56.3%), 124b-105 (29.2%) | Siberia, Russia (mostly Russians) | this study |
| 125 a-105 (67.9%)c, 123b-105 (12.5%)c | Volga-Ural region of Russia (mostly Russians and Tatars) | [ |
| 127 a-105 (71.8%), 125b-105 (18.2%) | Belarus | [ |
| 3–4 (90%)c | Palestine | [ |
| 2–6 (34.5%)c, 3–5 (26.9%)c | Eastern Black Sea region, Turkey | [ |
| 5 (127)-4 (105) (43%), | Anatolia, Turkey | [ |
| 125–105 (83.3%)c, 123–105 (10.0%)c | Morocco | [ |
| 127–105 (61.5%)c, 125–105 (15.6%)c | Spain | [ |
Allele destinations are taken from original sources. – fourteen CA repeats (CA14) was revealed by Sanger sequencing; – thirteen CA repeats (CA13) was revealed by Sanger sequencing; - frequencies of haplotypes were calculated on the basis of the data given in original sources [19, 21, 24, 26]