| Literature DB >> 35928472 |
Elham Ghadirkhomi1, Akram Ghdirkhomi2, Seyed Abdolhamid Angaji3.
Abstract
Background: Amenorrhoea is considered a kind of menstrual disorder in a woman of reproductive age. It is a symptom with many potential causes such as an abnormality in the hypothalamic-pituitary-ovarian axis, anatomical abnormalities of the genital tract or functional causes. Aims: In this study, we aimed to investigate chromosomal abnormalities in patients presenting with primary amenorrhoea. Study Setting and Design: This study was conducted in the medical genetic laboratory. Materials andEntities:
Keywords: Chromosomal abnormality; cytogenetic study; karyotyping; primary amenorrhoea
Year: 2022 PMID: 35928472 PMCID: PMC9345280 DOI: 10.4103/jhrs.jhrs_13_22
Source DB: PubMed Journal: J Hum Reprod Sci ISSN: 1998-4766
Chromosomal abnormalities in primary amenorrhea
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|---|---|
| 45, X/46, XX | 7 |
| 45, X | 6 |
| 48, XXXX | 1 |
| 45, X/46, i (Xq)/47, X, i (Xq), i (Xq) | 1 |
| 45, X/46, XY | 1 |
| 46, XY | 4 |
| 46, X, i (Xq) | 4 |
| 46, XX, del (X)(q13) | 1 |
| 46, XX, del (X)(q23) | 1 |
| 46, XX, del (X)(q26) | 1 |
| 45, X/46, XX, del (X)(q23) | 1 |
| 46, XX, del (Xp) | 1 |
| 46, i (Xp) | 1 |
| Total | 30 |
Figure 1Chromosome abnormalities in primary amenorrhoea
Figure 2Partial karyotype images of the chromosome abnormalities (only sex chromosome images of the karyotypes are shown). (a) Normal female. (b) Male karyotype: XY. (c) Monosomy X. (d) Iso-chromosome of long arm of X: 46,X,i(Xq). (e) 48,XXXX. (f) 47,X,i(Xq),i(Xq). (g) Iso-chromosome of short arm of X: 46,X,i(Xp)
Figure 3Chromosomal abnormalities in primary amenorrhoea
Frequency of chromosomal abnormalities among different populations
| Population (references) | Number of cases with chromosomal anomalies | Numerical abnormalities (%) | Structural abnormalities (%) | Sex reversed (%) | Numerical and structural anomalies together (%) |
|---|---|---|---|---|---|
| India[ | 162 out of 620 cases | 43.83 | 21.6 | 34.57 | - |
| India[ | 39 out of 140 cases | 53.84 | 2.56 | 20.5 | 23.1 |
| India[ | 36 out of 150 cases | 50 | 30.5 | 8.3 | 11.2 |
| India[ | 121 out of 490 cases | 43.8 | 26.4 | 29.8 | - |
| India[ | 1177 out of 3776 cases | 31.2 | 21.7 | 33.9 | 13.2 |
| India[ | 23 out of 174 cases | 34.78 | 8.7 | 43.47 | 13.05 |
| Indonesia[ | 24 out of 79 cases | 45.8 | 4.2 | 33.3 | 16.7 |
| Turkey[ | 44 out of 175 cases | 34 | 32 | 29.5 | 4.5 |
| China[ | 58 out of 237 cases | 50 | 12 | 34.5 | 3.5 |
| Malaysia[ | 34 out of 117 cases | 26.5 | 11.8 | 50 | 11.7 |
| Tunis[ | 16 out of 40 cases | 43.8 | 18.8 | 31.2 | 6.2 |
| Romania[ | 269 out of 493 cases | 79.9 | 5.6 | 5.3 | 9.2 |
| Our study | 30 out of 134 cases | 46.7 | 30 | 16.7 | 6.6 |