Background: Certain rare syndromes with developmental delay or intellectual disability caused by genomic copy number variants (CNVs), either deletions or duplications, are associated with higher rates of obesity. Current strategies to diagnose these syndromes typically rely on phenotype-driven investigation. However, the strong phenotypic overlap between syndromic forms of obesity poses challenges to accurate diagnosis, and many different individual cytogenetic and molecular approaches may be required. Multiplex ligation-dependent probe amplification (MLPA) enables the simultaneous analysis of multiple targeted loci in a single test, and serves as an important screening tool for large cohorts of patients in whom deletions and duplications involving specific loci are suspected. Our aim was to design a synthetic probe set for MLPA analysis to investigate in a cohort of 338 patients with syndromic obesity deletions and duplications in genomic regions that can cause this phenotype.
Results: We identified 18 patients harboring copy number imbalances; 18 deletions and 5 duplications. The alterations in ten patients were delineated by chromosomal microarrays, and in the remaining cases by additional MLPA probes incorporated into commercial kits. Nine patients showed deletions in regions of known microdeletion syndromes with obesity as a clinical feature: in 2q37 (4 cases), 9q34 (1 case) and 17p11.2 (4 cases). Four patients harbored CNVs in the DiGeorge syndrome locus at 22q11.2. Two other patients had deletions within the 22q11.2 'distal' locus associated with a variable clinical phenotype and obesity in some individuals. The other three patients had a recurrent CNV of one of three susceptibility loci: at 1q21.1 'distal', 16p11.2 'distal', and 16p11.2 'proximal'.
Conclusions: Our study demonstrates the utility of an MLPA-based first line screening test to the evaluation of obese patients presenting with syndromic features. The overall detection rate with the synthetic MLPA probe set was about 5.3% (18 out of 338). Our experience leads us to suggest that MLPA could serve as an effective alternative first line screening test to chromosomal microarrays for diagnosis of syndromic obesity, allowing for a number of loci (e.g., 1p36, 2p25, 2q37, 6q16, 9q34, 11p14, 16p11.2, 17p11.2), known to be clinically relevant for this patient population, to be interrogated simultaneously.
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http://dx.doi.org/10.1186/s13039-014-0075-6 | DOI Listing |
Alzheimers Dement
December 2024
Xiangya Hospital, Central South University, Changsha, Hunan, China.
Background: Single nucleotide polymorphism (SNP)-based genetic studies have identified many risk genes for Alzheimer's disease (AD), but only explain part of the heritability. Structural variation (SVs) may account for some of this otherwise unexplained heritability. In this study, we sequenced 1,519 AD patients and 2,010 controls using 30X whole-genome sequencing (WGS).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Stanford University, School of Medicine, Stanford, CA, USA.
Background: Alzheimer's disease (AD) is the most common form of dementia. Neuropathologically, AD stands out as a mixed proteinopathy. Beta-amyloid and tau biomarkers can now add in-vivo support to the AD diagnosis.
View Article and Find Full Text PDFClin Chem
January 2025
Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT, United States.
Background: Structural variation (SV), defined as balanced and unbalanced chromosomal rearrangements >1 kb, is a major contributor to germline and neoplastic disease. Large variants have historically been evaluated by chromosome analysis and now are commonly recognized by chromosomal microarray analysis (CMA). The increasing application of genome sequencing (GS) in the clinic and the relatively high incidence of chromosomal abnormalities in sick newborns and children highlights the need for accurate SV interpretation and reporting.
View Article and Find Full Text PDFClin Chem
January 2025
Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.
Background: Mate-pair sequencing detects both balanced and unbalanced structural variants (SVs) and simultaneously informs in relation to both genomic location and orientation of SVs for enhanced variant classification and clinical interpretation, while chromosomal microarray analysis (CMA) only reports deletion/duplication. Herein, we evaluated its diagnostic utility in a prospective back-to-back prenatal comparative study with CMA.
Methods: From October 2021 to September 2023, 426 fetuses with ultrasound anomalies were prospectively recruited for mate-pair sequencing and CMA in parallel for prenatal genetic diagnosis.
Clin Chem
January 2025
Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Background: Genetic testing has traditionally been divided into molecular genetics and cytogenetics, originally driven by the use of different assays and their associated limitations. Cytogenetic technologies such as karyotyping, fluorescent in situ hybridization or chromosomal microarrays are used to detect large "megabase level" copy number variants and other structural variants such as inversions or translocations. In contrast, molecular methodologies are heavily biased toward subgenic "small variants" such as single nucleotide variants, insertions/deletions, and targeted detection of intragenic, exon level deletions or duplications.
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