Dominic McMullan

Additional information from array comparative genomic hybridization technology over conventional karyotyping in prenatal diagnosis: a systematic review and meta‐analysis

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.

Use of prenatal chromosomal microarray: prospective cohort study and systematic review and meta‐analysis

Chromosomal microarray analysis (CMA) is utilized in prenatal diagnosis to detect chromosomal abnormalities not visible by conventional karyotyping. A prospective cohort of women undergoing fetal CMA and karyotyping following abnormal prenatal ultrasound findings is presented in the context of a systematic review and meta‐analysis of the literature describing detection rates by CMA and karyotyping.

Exome sequencing improves genetic diagnosis of structural fetal abnormalities revealed by ultrasound

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.

Microarray Based Analysis of 3p25-p26 Deletions [3p- Syndrome)

Distal deletion of chromosome 3p25‐pter (3p‐ syndrome) produces a distinct clinical syndrome characterized by low birth weight, mental retardation, telecanthus, ptosis, and micrognathia. Congenital heart disease (CHD), typically atrioventricular septal defect (AVSD) occurs in about a third of patients. Previously we reported on an association between the presence of CHD and the proximal extent of the deletion such that a CHD susceptibility gene was mapped between D3S1263 and D3S3594. In addition, we and others have suggested several candidate genes for the psychomotor retardation usually seen with constitutional 3p25 deletions. In order to further investigate genotype–phenotype correlations in 3p‐ syndrome we analyzed 14 patients with cytogenetically detectable deletions of 3p25 (including one patient with a normal phenotype) using Affymetrix 250K SNP microarrays. Deletion size varied from ∼6 to 12 Mb. Assuming complete penetrance, a candidate critical region for a CHD susceptibility gene was refined to ∼200 kb and a candidate critical region for mental retardation was mapped to an ∼1 Mb interval containing SRGAP3 but other 3p neurodevelopmental genes including CHL1, CNTN4, LRRN1, and ITPR1 mapped outside the candidate critical interval. We suggest that current evidence suggests that SRGAP3 is the major determinant of mental retardation in distal 3p deletions.

Discovery of four recessive developmental disorders using probabilistic genotype and phenotype matching among 4,125 families.

Discovery of most autosomal recessive disease-associated genes has involved analysis of large, often consanguineous multiplex families or small cohorts of unrelated individuals with a well-defined clinical condition. Discovery of new dominant causes of rare, genetically heterogeneous developmental disorders has been revolutionized by exome analysis of large cohorts of phenotypically diverse parent-offspring trios. Here we analyzed 4,125 families with diverse, rare and genetically heterogeneous developmental disorders and identified four new autosomal recessive disorders. These four disorders were identified by integrating Mendelian filtering (selecting probands with rare, biallelic and putatively damaging variants in the same gene) with statistical assessments of (i) the likelihood of sampling the observed genotypes from the general population and (ii) the phenotypic similarity of patients with recessive variants in the same candidate gene. This new paradigm promises to catalyze the discovery of novel recessive disorders, especially those with less consistent or nonspecific clinical presentations and those caused predominantly by compound heterozygous genotypes.

Prenatal exome sequencing for fetuses with structural abnormalities: the next step

†College of Women’s and Children’s Health & School of Clinical and Experimental Medicine, College of Medicine and Dentistry, University of Birmingham, Edgbaston, Birmingham, UK; Fetal Medicine Centre, Birmingham Women’s Foundation Trust, Edgbaston, Birmingham, UK; ‡Department of Clinical Genetics, Birmingham Women’s Foundation Trust, Edgbaston, Birmingham, UK; §Genome Mutation and Genetic Disease Group, The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK; ¶West Midlands Genetics Laboratory, Birmingham Women’s Foundation Trust, Edgbaston, Birmingham, UK *Correspondence. (e-mail: sarahchillman@hotmail.com)

Microarray comparative genomic hybridization in prenatal diagnosis: a review

G‐band chromosomal karyotyping of fetal cells obtained by invasive prenatal testing has been used since the 1960s to identify structural chromosomal anomalies. Prenatal testing is usually performed in response to parental request, increased risk of fetal chromosomal abnormality associated with advanced maternal age, a high‐risk screening test and/or the presence of a congenital malformation identified by ultrasonography. The results of karyotyping may inform the long‐term prognosis (e.g. aneuploidy being associated with a poor outcome or microscopic chromosomal anomalies predicting global neurodevelopmental morbidity). Relatively recent advances in microarray technology are now enabling high‐resolution genome‐wide evaluation for DNA copy number abnormalities (e.g. deletions or duplications). While such technological advances promise increased sensitivity and specificity they can also pose difficult challenges of interpretation and clinical management. This review aims to give interested clinicians without an extensive prior knowledge of microarray technology, an overview of its use in prenatal diagnosis, the literature to date, advantages, potential pitfalls and experience from our own tertiary center. Copyright

Design and validation of a metabolic disorder resequencing microarray (BRUM1)

The molecular genetic diagnosis of inherited metabolic disorders is challenging. The diseases are rare, and most show locus heterogeneity. Hence, testing of the genes associated with IMDs is time consuming and often not easily available. We report a resequencing array that allows the simultaneous resequencing of up to 92 genes associated with IMDs. To validate the array, DNA samples from 51 patients with 52 different known variants (including point variants, small insertion, and deletions [indels]) in seven genes (C14ORF133, GAA, NPC1, NPC2, VPS33B, WFS1, and SLC19A2) were amplified by PCR and hybridized to the array. A further patient cohort with 48 different mutations in NPC1 were analyzed blind. Out of 76 point variants, 73 were identified using automated software analysis followed by manual review. Ten insertion and deletion variants were detected in the extra tiling using mutation specific probes, with 11 heterozygous deletions and 3 heterozygous insertions. In summary, we identified 96% (95% confidence interval [CI] 89–99%) of point variants added to the array, but the pickup rate reduced to 83% (95% CI 75–89%) when insertions/deletions were included. Although the methodology has strengths and weaknesses, application of this technique could expedite diagnosis in most patients with multilocus IMDs. Hum Mutat 31:1–8, 2010.

Prenatal whole exome sequencing: the views of clinicians, scientists, genetic counsellors and patient representatives

Focus groups were conducted with individuals involved in prenatal diagnosis to determine their opinions relating to whole exome sequencing in fetuses with structural anomalies.

Copy number profiling in von Hippel-Lindau disease renal cell carcinoma.

Germline mutations in the VHL tumor suppressor gene cause von Hippel‐Lindau (VHL) disease and somatic VHL mutations occur in the majority of clear cell renal cell carcinoma (cRCC). To compare copy number abnormalities (CNAs) between cRCC from VHL patients and sporadic cRCC cases without detectable somatic VHL mutations, we analyzed 34 cRCC with Affymetrix 250K arrays. To increase the power of the study, we then combined our results with those of a previously published study and compared CNAs in VHL and non‐VHL related cRCC using the genomic identification of significant targets in cancer (GISTIC) program. In VHL, cRCC GISTIC analysis identified four statistically significant regions of copy number gain and four statistically significant regions of deletion that occurred in >10% of tumors analyzed. Sporadic cRCC without detectable VHL mutations had, on average, more copy number abnormalities than VHL cRCC though the most common regions of loss/gain (e.g., 3p and 14q loss and 5q gain) were present in both tumor sets. However, CNAs on chromosome arms 7p (gain) and 8p (loss) were only detected in VHL RCC. Although individual copy number abnormality peaks contained clear candidate cancer genes in some cases (e.g., the 3p loss peak in VHL cRCC contained only six genes including VHL), most peaks contained many genes. To date, only a minority of the candidate genes included in these peaks have been analyzed for mutation or epigenetic inactivation in cRCC but TNFRSF10C and DUSP4 map to the 8p region deleted in VHL cRCC and TP53 and HIF2A (EPAS1) mapped to CNA loss and gain peaks (chromosomes 17 and 2, respectively) detected in sporadic VHL wild‐type cRCC.