| Literature DB >> 29238403 |
Natalia V Kovaleva1, Philip D Cotter2,3.
Abstract
BACKGROUND: Mosaicism for chromosome rearrangements is common in preimplantation diagnoses, yet is rare in prenatal diagnoses as well as in other groups of patients referred to cytogenetic testing. Consequently, there is a lack of detailed studies on this kind of mosaicism in all groups of patients. Previous reports have identified a deficit of males among asymptomatic carriers of N/unbalanced Rea. Three mechanisms were proposed for explaining this phenomenon, including a high instability in the early female embryonic development, a male-specific selection against abnormal cells in the early embryo development, or a high intrauterine lethality of male carriers. To address these possibilities, we have performed a meta-analysis of male-to-female ratio (sex ratio, SR) in prenatally diagnosed and in spontaneously aborted carriers of mosaic Rea.Entities:
Keywords: Genomic imbalance; Maternal age; Non-centromeric autosomal rearrangement; Paternal age; Segmental somatic mosaicism; Sex ratio
Year: 2017 PMID: 29238403 PMCID: PMC5725842 DOI: 10.1186/s13039-017-0346-0
Source DB: PubMed Journal: Mol Cytogenet ISSN: 1755-8166 Impact factor: 2.009
Sex ratio in carriers of mosaicism for segmental autosomal mosaicism
| Study groups | Unbalanced rearrangements | Balanced rearrangements | ||||
|---|---|---|---|---|---|---|
| Males | Females | Sex ratio | Males | Females | Sex ratio | |
| Asymptomatic carriers of gonadal mosaicism (transmitting parents)a | 7 | 28 | 0.25 | 9 | 8 | |
| Asymptomatic carriers of somatic mosaicism (patients with reproductive disorders and fortitously detected carriers)a | 2 | 8 | 0.25 | 15 | 14 | |
| Total | 9 | 36 | 0.25* | 24 | 22 | 1.1 |
| Affected carriers of somatic and gonadal mosaicisma,b | 95 | 133 | 0.7 | 7 | 6 | |
| Prenatally diagnosed affected carriersc | 15 | 23 | 0.65 | 2 | 1 | |
| Total | 110 | 156 | 0.7** | 9 | 7 | 1.3 |
| Prenatally diagnosed normal carriersc | 18 | 10 | 1.8 *** | 12 | 8 | 1.5 |
aKovaleva, Cotter, 2016; bKovaleva, Cotter, 2017; cpresent data
*different from population ratio of 1.06, p < 0.0001
**different from population ratio of 1.06, p = 0.0009 (binomial test)
***different from SR = 0.7 in combined sample, p = 0.0348 (chisquare, Yates-corrected()