Objective Array comparative genomic hybridization (CGH) is transforming clinical cytogenetics with its ability to interrogate the human genome at increasingly high resolution. The aim of this study was to determine whether array CGH testing in the prenatal population provides diagnostic information over conventional karyotyping.Methods MEDLINE (1970 to December 2009), EMBASE (1980 to December 2009) and CINAHL (1982 to December 2009
The genetic etiology of non-aneuploid fetal structural abnormalities is typically investigated by karyotyping and array-based detection of microscopically detectable rearrangements, and submicroscopic copy-number variants (CNVs), which collectively yield a pathogenic finding in up to 10% of cases. We propose that exome sequencing may substantially increase the identification of underlying etiologies. We performed exome sequencing on a cohort of 30 non-aneuploid fetuses and neonates (along with their parents) with diverse structural abnormalities first identified by prenatal ultrasound. We identified candidate pathogenic variants with a range of inheritance models, and evaluated these in the context of detailed phenotypic information. We identified 35 de novo single-nucleotide variants (SNVs), small indels, deletions or duplications, of which three (accounting for 10% of the cohort) are highly likely to be causative. These are de novo missense variants in FGFR3 and COL2A1, and a de novo 16.8 kb deletion that includes most of OFD1. In five further cases (17%) we identified de novo or inherited recessive or X-linked variants in plausible candidate genes, which require additional validation to determine pathogenicity. Our diagnostic yield of 10% is comparable to, and supplementary to, the diagnostic yield of existing microarray testing for large chromosomal rearrangements and targeted CNV detection. The de novo nature of these events could enable couples to be counseled as to their low recurrence risk. This study outlines the way for a substantial improvement in the diagnostic yield of prenatal genetic abnormalities through the application of next-generation sequencing.
Background Approximately 50% of spontaneous miscarriages are associated with chromosome abnormalities. Identification of these karyotypic abnormalities helps to estimate recurrence risks in future pregnancies. Chromosomal microarray analysis (CMA) is transforming clinical cytogenetic practice with its ability to examine the human genome at increasingly high resolution.Objectives The aim of this study was to determine whether CMA testing on the products of conception following miscarriage provides better diagnostic information compared with conventional karyotyping.Search strategy MEDLINE (from 1996 to December 2012), EMBASE (from 1974 to December 2012), and CINAHL (from 1996 to December 2012) databases were searched electronically.Selection criteria Studies were selected if CMA was used on products of conception following miscarriage, alongside conventional karyotyping.Data collection and analysis Nine papers were included in the systematic review and meta-analysis. All statistical analyses were performed using STATA 11.0 (Stata Corp., College Station, TX, USA).Main results There was agreement between CMA and karyotyping in 86.0% of cases (95% CI 77.0-96.0%). CMA detected 13% (95% CI 8.0-21.0) additional chromosome abnormalities over conventional full karyotyping. In addition, traditional, full karyotyping detected 3% (95% CI 1.0-10.0%) additional abnormalities over CMA. The incidence of a variant of unknown significance (VOUS) being detected was 2% (95% CI 1.0-10.0%).Author's conclusions Compared with karyotyping, there appears to be an increased detection rate of chromosomal abnormalities when CMA is used to analyse the products of conception; however, some of these abnormalities are VOUS, and this information should be provided when counselling women following miscarriage and when taking consent for the analysis of miscarriage products by CMA.Keywords arrayCGH, CMA, karyotyping, microarray, miscarriage.
The objective was to gain insight into the experiences of women and their partners diagnosed with a fetal abnormality on prenatal ultrasound examination and receiving genetic testing including microarray. Twenty-five semi-structured interviews were performed with women +/- their partners after receiving the results of prenatal genetic testing. Framework analysis was performed to elicit themes and subthemes. Five main themes were recognized; diagnosis, genetic testing, family and support, reflections of the treatment received and emotions. Our results showed that women recall being told about QFPCR for trisomy 13, 18, and 21 but often no further testing. Women expected the conventional karyotype and microarray result would be normal following a normal QFPCR result. There were frequent misconceptions by couples regarding aspects of counseling/testing. Communication of variants of unknown (clinical) significance (VOUS) presents a particularly difficult challenge. Good clear communication by health care professionals is paramount. When counseling women and their partners for fetal chromosomal testing it should be reinforced that although the most common, trisomy 13, 18, and 21 only account for some of the chromosomal changes resulting in abnormal scan findings. Couples should have literature to take home summarizing scan anomalies and reinforcing information about genetic testing.
Themes should be appreciated within local contexts to illuminate barriers and facilitators. Potential solutions include motorcycle ambulance programs, collaboration with taxi services, community education, subsidies, and vehicle maintenance.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.