Abstract
This article presents the dataset regarding spectrum of mutations in 21-Hydroxylase deficient CAH patients as described in “The spectrum of CYP21A2 mutations in Congenital Adrenal Hyperplasia in an Indian cohort” (R. Khajuria, R. Walia, A. Bhansali, R. Prasad, 2017) [1]. This dataset features about the CAH patients in the cohort, their classification into subtypes and finally screening the exon–intron boundaries of 21-Hydroxylase gene (CYP21A2) to detect common mutations, novel mutations along polymorphisms in the CYP21A2 gene. The specified large set of primers and the parameters for the mutation detection allow the identification and molecular characterization of CYP21A2 gene in the CAH patients.
Keywords: CYP21A2 gene, Salt wasting, Simple virilizing, Non classical, Known mutations, Novel mutations
Specifications Table
| Subject area | Biology |
| More specific subject area | Endocrinology, Molecular biology |
| Type of data | Text, Table, Graph, Figure |
| How data was acquired | Scatter diagram for 17-α-OHP, Primer sequences were checked using BLAST search |
| Data format | Analyzed |
| Experimental factors | DNA isolated from the blood of CAH patients |
| Experimental features | ELISA, Polymerase chain reaction |
| Data source location | Chandigarh, India |
| Data accessibility | Data is with this article and available at genbank via accession numbers: NCBI accession number-KF812549, NCBI accession number- KF534754, NCBI accession number- KF692099, NCBI accession number- KF447378 |
Value of the data
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The data provides the information about female to male ratio in the 21-Hydroxylase deficient CAH patients which could be compared to other studies.
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The data supports that level of 17-α-OHP in classical CAH patients is higher than non classical CAH patients as mentioned by other researchers and clinicians.
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The sequence of the primers mentioned would help other researchers to identify common and novel mutations in CYP21A2 gene.
1. Data
Congenital Adrenal Hyperplasia is an autosomal recessive disorder mainly caused by defects in 21-Hydroxylase gene (CYP21A2) which codes for 21-Hydroxylase enzyme [2]. Fig. 1, Fig. 2, Fig. 3 and Table 1 indicate ratio of patients (males and females) in classical (SW, SV) and non classical CAH and the associated level of 17-α-OHP which is the substrate of 21-Hydroxylase enzyme. The major disease-causing mutations in CYP21A2 (functional gene) are transferred from CYP21A1P (pseudogene) due to unequal crossing over during meiosis or apparent gene conversion events [3], macro or microconversion events [4]. Table 1, Table 2, Table 3, Table 4, Table 5 elucidate the age of the CAH patients in the classical and nonclassical CAH, the primer sequences which were used for detection of the common mutations, polymorphisms and novel mutations in the CYP21A2 gene. The novel mutations were detected at the frequency of 3%–5% when large cohorts were investigated [5] (Table 6).
Fig. 1.
Number of patients in each sub-type of CAH.
Fig. 2.
Number of patients in each sub-type of CAH along the male to female ratio in the three sub-types of CAH.
Fig. 3.
Scatter diagram representing the level of 17-α-OHP (ng/ml) in different categories of CAH (classical and non-classical). Levels of 17-α-OHP are higher in classical form of CAH as compared to non-classical form of CAH.
Table 1.
Range of age in CAH patients.
| Category of CAH | Minimum age (years) | Maximum age (years) |
|---|---|---|
| Salt wasting | 1 month | 19 |
| Simple virilizing | 3.5 | 55 |
| Non classical | 17 | 24 |
Table 2.
Oligonucleotides (primers) used to amplify the CYP21A2 gene including exon-intron boundaries. Column 1 is primer code, column 2 is primer sequence, column 3 is PCR product size (bp), Column 4 is mutation detected and column 5 is annealing temperatures(°C).
| 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|
| P 1 | 5′-TGC ATT TCC CTT CCT TGC TTC-3′ | 952 | F1 | 63.2 |
| P 2 | 5′-GCA GGG AGT AGT CTC CCA AGG- 3′a | |||
| P 3 | 5′-CCT TGG GAG ACT ACT CCC TGC-3′ | 320 | I172N E6 cluster | 58.4 |
| P 4 | 5′-AGG GGT TCG TAC GGG AGC AAT A-3′a | 2070 | F2 | 64.2 |
| P 5 | 5′-CTG AGG TGC CAC TTA TAG CTC-3′a | |||
| P 6 | 5′-AAG CTC CGG AGC CTC CAC CTC G-5′ | 148 | P30L | 51.5 |
| P 7 | 5′-AGA TCA GCC TCT CAC CTT GC-3′a | |||
| P 8 | 5′-TGG GGC ATC CCC AAT CCA GGT CCC-3′ | 156 | i2g | 62.0 |
| P 9 | 5′-ACC AGC TTG TCT GCA GGA GGAT-3′a | |||
| P 10 | 5′-TCT CCG AAG GTG AGG TAA CA T-3′a | 320 | I172N | 58.4 |
| P 11b | 5′-AGC TGC ATC TCC ACG ATG GA-3′a | 696 | E6 cluster | 60.6 |
| N allele | ||||
| P 11a | 5′-TCA GCT GCT TCT CCT CGT TGT GG-3′a | 696 | E6 cluster | 60.2 |
| M allele | ||||
| P 12 | 5′-GAT CAC ATC GTG GAG ATG CAG CTG-3′ | 781 | V281L | 71.0 |
| P 13 | 5′TGG GCC GTG TGG TGC GGT GGG GCA A-3′a | Q318X | ||
| P 14 | 5′CCA GAT TCA GCA GCG ACT G-3′ | 162 | R356W | 67.0 |
| P 15 | 5′-TGG GGC AAG GCT AAG GGC ACA AC C-3′a |
underlined primers are antisense primers.
Table 3.
List of the mutations, PCR product size, the restriction enzyme used and the fragment size obtained after digestion for the detection of the common mutations.
| Mutation | PCR product | Restriction enzyme | Fragments produced after digestion if mutation present | Fragments produced after digestion if mutation absent |
|---|---|---|---|---|
| P30L | 148 bp | Bsh12361 | 148 bp | 126 bp & 22 bp |
| I172N | 320 bp | Nde 1 | 297 bp & 28 bp | 320 bp |
| V281L | 781 bp | Apa L1 | 686 bp & 95 bp | 375 bp,311 bp & 95 bp |
| i2g | 156 bp | Sau3A1 | 133 bp & 23 bp | 156 bp |
| Q318X | 781 bp | Pst 1 | 457 bp,204 bp & 120 bp | 299 bp,204 bp,158 bp & 120 bp |
| R356W | 163 bp | Eco521 | 162 bp | 136 bp |
| Gene Deletion | 210 bp | Taq 1 | 187 bp | 210 bp & 187 bp |
Table 4.
List of the mutations, optimum temperature, time duration required for the detection of the known mutations.
| Mutation | Restriction enzyme | Temp. | Duration of incubation |
|---|---|---|---|
| P30L | Bsh12361 | 37 °C | 4 h |
| I172N | Nde 1 | 37 °C | 4 h |
| V281L | Apa L1 | 37 °C | 4 h |
| i2g | Sau3A1 | 37 °C | 2 h |
| Q318X | Pst 1 | 37 °C | 4 h |
| R356W | Eco521 | 37 °C | 4 h |
| Gene deletion | Taq 1 | 65 °C | 4 h |
Table 5.
Mutations or sequence variations, primers used for PCR and restriction enzymes used in detection of normal and mutant alleles.
| Poly-morphim | Primer | PCR product | Enzyme |
Fragment Size (bp) |
|
|---|---|---|---|---|---|
| Normal allele | Mutant allele | ||||
| S268T | 7-F TGCAGGAGAGCCTCGTGGCAGG 7-R ACGCACCTCAGGGTGGTGAAG | 212 bp | Nco 1 | – | – |
| D183E | 5-F GGAGACAAGATCAAGGTGCCT | 217 bp | – | 212 | 146 and 66 |
| 5-R CCAGGTCCTCACCCTGAGA | |||||
Table 6.
Oligonucleotides primers used for amplification of CYP21A2 gene exons.
| Exons | Primer Sequence 5′–3′ | PCR product (bp) | Annealing temperature (°C) |
|---|---|---|---|
| Forward 1 | AGCGGATCCCCCGGTGGCCTC | 216 | 63.0 |
| Reverse 1 | CCGTGGCCCAGCCTGCAGATG | ||
| Forward 2 | AGCTCTGAGGACTGATCTTGA | 208 | 61.8 |
| Reverse 2 | CCGTGGCCCAGCCTGCAGATG | ||
| Forward 3 | AGCTCTGAGGACTGATCTTGA | 226 | 66.4 |
| Reverse 3 | AGCAGCAGTTGGAGCCAGGTT | ||
| Forward 4 | GTACGATAGCACCTTCCTGTT | 207 | 61.8 |
| Reverse 4 | GCTGAGTCTCCAACTCTGGTT | ||
| Forward 5 | TTGGGGTTCGCCCTGCCCGTA | 217 | 68.6 |
| Reverse 5 | CAAAGCTTCATCACCCCCTCC | ||
| Forward 6 | AGGAGGGAGTTGACTTGGTGT | 193 | 63.4 |
| Reverse 6 | CTGTTCCCATGTCCACAGTGC | ||
| Forward 7 | TGGGACAGAGGAAATATGCCA | 212 | 65.5 |
| Reverse 7 | CCTTTACZCACCTCTCTCATG | ||
| Forward 8 | GGCTCCTATGTCACCTTGATG | 227 | 62.1 |
| Reverse 8 | CAACCTCCATCCAGTGCCTAG | ||
| Forward 9 | GGTCAGCATCTGGACCCCAGG | 212 | 66.9 |
| Reverse 9 | AGGTTGCAGTTCACTAGGCTG | ||
| Forward 10 | AGGTGCTAACCTGGATAACTG | 303 | 59.8 |
| Reverse 10 | CACATACTGCATGTGAGAGTC |
2. Experimental design
2.1. Sample collection
The patients were categorized into 3 types viz., Salt Wasting (SW), Simple Virilizing (SV) and non classical (NC). CAH patients had varied age groups among the 3 types.
2.2. 17-α-OHP measurement
17-α-OHP was measured in the serum samples of the CAH patients by enzyme-linked immune-sorbent assay (ELISA), based on the principle of competitive binding.
2.3. Identification of common mutations, polymorphisms and novel mutations
DNA was isolated by the standard protocols [6]. The common mutations, polymorphisms and the novel mutations were detected the 110 alleles [1]. Various mutations were present at different frequencies in our population [1]. The genotype of the patients and the affected no of alleles were detected in the present study (Figs. 4, 5). The prevalence of common mutations in 3 sub-types of CAH were also studied in present study (Fig. 6).
Fig. 4.
Type of genotype and their abundance in Indian CAH patients.
Fig. 5.
Bar diagram representing various mutations identified and the corresponding number of mutated alleles affected with each mutation.
Fig. 6.
Mutations prevailing in different forms of CAH- Salt-Wasting, Simple-Virilizing and Non-Classical respectively in our population.
Acknowledgments
We express our sincere gratitude to Science & Engineering Research Board (SERB), New Delhi, India for funding the project (Sanction number: SR/SO/HS/0045/2010) and Indian Council of Medical Research, New Delhi for ICMR-JRF and SRF (Reference number: 3/1/3/JRF-2011/HRD-3). We are also thankful to all the patients included in this study.
Footnotes
Transparency data associated with this article can be found in the online version at doi:10.1016/j.dib.2016.12.013.
Transparency document. Supporting Material
Supplementary Material
.
References
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