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Spinal muscular atrophy diagnosis and carrier screening from genome sequencing data

Authors :
Zoya Kingsbury
Andrew J. Connell
Ryan J. Taft
Alba Sanchis-Juan
Courtney E. French
Matthew E.R. Butchbach
David R. Bentley
Aditi Chawla
Xiao Chen
Isabelle Delon
Michael A. Eberle
Aaron L. Halpern
F Lucy Raymond
Nihr BioResource
Source :
Genetics in Medicine, Chen, X, Sanchis-juan, A, French, C E, Connell, A J, Delon, I, Kingsbury, Z, Chawla, A, Halpern, A L, Taft, R J, Bentley, D R, Bioresource, NIHR, Williamson, C, Butchbach, M E R, Raymond, F L, Eberle, M A & Dixon, P 2020, ' Spinal muscular atrophy diagnosis and carrier screening from genome sequencing data ', GENETICS IN MEDICINE, vol. 22, no. 5, pp. 945-953 . https://doi.org/10.1038/s41436-020-0754-0
Publication Year :
2020
Publisher :
Nature Publishing Group US, 2020.

Abstract

PurposeSpinal muscular atrophy (SMA), caused by loss of the SMN1 gene, is a leading cause of early childhood death. Due to the near identical sequences of SMN1 and SMN2, analysis of this region is challenging. Population-wide SMA screening to quantify the SMN1 copy number (CN) is recommended by the American College of Medical Genetics.MethodsWe developed a method that accurately identifies the CN of SMN1 and SMN2 using genome sequencing (GS) data by analyzing read depth and eight informative reference genome differences between SMN1/2.ResultsWe characterized SMN1/2 in 12,747 genomes, identified 1568 samples with SMN1 gains or losses and 6615 samples with SMN2 gains or losses and calculated a pan-ethnic carrier frequency of 2%, consistent with previous studies. Additionally, 99.8% of our SMN1 and 99.7% of SMN2 CN calls agreed with orthogonal methods, with a recall of 100% for SMA and 97.8% for carriers, and a precision of 100% for both SMA and carriers.ConclusionThis SMN copy number caller can be used to identify both carrier and affected status of SMA, enabling SMA testing to be offered as a comprehensive test in neonatal care and an accurate carrier screening tool in GS sequencing projects.

Details

Language :
English
ISSN :
15300366 and 10983600
Volume :
22
Issue :
5
Database :
OpenAIRE
Journal :
Genetics in Medicine
Accession number :
edsair.doi.dedup.....e691a1b29fc20874442d996b2129dc58