Consensus statement: chromosomal microarray is a first-tier clinical diagnostic test for individuals with developmental disabilities or congenital anomalies.
By David T. Miller, M. Adam, S. Aradhya, Leslie G. Biesecker, A. Brothman, N. Carter, D. Church, J. Crolla, Evan E. Eichler, C. Epstein and 22 more. American Journal of Human Genetics, 2010
2,697 citations recorded by the source corpus.
Chromosomal microarray (CMA) is increasingly utilized for genetic testing of individuals with unexplained developmental delay/intellectual disability (DD/ID), autism spectrum disorders (ASD), or multiple congenital anomalies (MCA). Performing CMA and G-banded karyotyping on every patient substantially increases the total cost of genetic testing. The International Standard Cytogenomic Array (ISCA) Consortium held two international workshops and conducted a literature review of 33 studies, including 21,698 patients tested by CMA. We provide an evidence-based summary of clinical cytogenetic testing comparing CMA to G-banded karyotyping with respect to technical advantages and limitations, diagnostic yield for various types of chromosomal aberrations, and issues that affect test interpretation. CMA offers a much higher diagnostic yield (15%-20%) for genetic testing of individuals with unexplained DD/ID, ASD, or MCA than a G-banded karyotype ( approximately 3%, excluding Down syndrome and other recognizable chromosomal syndromes), primarily because of its higher sensitivity for submicroscopic deletions and duplications. Truly balanced rearrangements and low-level mosaicism are generally not detectable by arrays, but these are relatively infrequent causes of abnormal phenotypes in this population (<1%). Available evidence strongly supports the use of CMA in place of G-banded karyotyping as the first-tier cytogenetic diagnostic test for patients with DD/ID, ASD, or MCA. G-banded karyotype analysis should be reserved for patients with obvious chromosomal syndromes (e.g., Down syndrome), a family history of chromosomal rearrangement, or a history of multiple miscarriages.
Subfields: Genetics, Molecular Biology, Pediatrics, Perinatology and Child Health
View Paper: https://www.semanticscholar.org/paper/9129e40033b14ab4c835d5434af948349d4eff99
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Martin Kircher
- Eric Boerwinkle
- Gregory M. Cooper
- Stephen W. Scherer
- Jay Shendure
- David Haussler
- Sharon E Plon
- Edwin H. Cook Jr.
In Molecular Biology
- Gregory M. Cooper
- Martin Kircher
- David Haussler
- Robert M. Kuhn
- Jay Shendure
- Eric Boerwinkle
- Kate R. Rosenbloom
- Mark Diekhans
In Pediatrics, Perinatology and Child Health
Citations in the corpus
- The Database of Genomic Variants: a curated collection of structural variation in the human genome (2013, positive): “These include the DECIPHER genomic disorders and consented patient data (19), and data sets from the ISCA consortium (23,24).”
- Whole genome sequencing resource identifies 18 new candidate genes for autism spectrum disorder (2017, positive): “…= 21), megabase CNVs ( n = 25), CNVs involving genomic disorder loci ( n = 69) or CNVs affecting previously reported ASD-risk genes ( n = 58), all determined by standard diagnostic reporting criteria 16,17,37 and many associated with known syndromes of which ASD can be a component feature 5,9,10 .”
- The Genetic Basis of Mendelian Phenotypes: Discoveries, Challenges, and Opportunities. (2015, positive): “) The increasing availability of clinical WES testing holds promise for improving diagnostic yield, and although the diagnostic rate reported with this technology is currently only ~25%–30%, it represents a substantially higher rate than the diagnostic yield of other genomic assays, such as karyotyp”
- Molecular Findings Among Patients Referred for Clinical Whole-Exome Sequencing (2014, background): “1 In brief, the tier 1 (focused) report included the following 6 variant reporting categories: (1) deleterious mutations (also known as pathogenic variants) related to the disease phenotype; (2) variants of unknown clinical significance related to the disease phenotype; (3) medically actionable muta”
- Needles in stacks of needles: finding disease-causal variants in a wealth of genomic data (2011, positive): “Furthermore, causative mutations include not only SNVs but also structural changes, such as small insertion or deletion events, large CNVs, retrotransposition events and inversions 3,92,93,94 .”
- The UCSC Genome Browser database: update 2011 (2010, methodology): “We intend to add medical genomics data from the International Standards for Cytogenomic Arrays (ISCA) consortium (41).”