TY - JOUR
T1 - Mosaic structural variation in children with developmental disorders
AU - King, Daniel A.
AU - Jones, Wendy D.
AU - Crow, Yanick J.
AU - Dominiczak, Anna F.
AU - Foster, Nicola A.
AU - Gaunt, Tom R.
AU - Harris, Jade
AU - Hellens, Stephen W.
AU - Homfray, Tessa
AU - Innes, Josie
AU - Jones, Elizabeth A.
AU - Joss, Shelagh
AU - Kulkarni, Abhijit
AU - Mansour, Sahar
AU - Morris, Andrew D.
AU - Parker, Michael J.
AU - Porteous, David J.
AU - Shihab, Hashem A.
AU - Smith, Blair H.
AU - Tatton-Brown, Katrina
AU - Tolmie, John L.
AU - Trzaskowski, Maciej
AU - Vasudevan, Pradeep C.
AU - Wakeling, Emma
AU - Wright, Michael
AU - Plomin, Robert
AU - Timpson, Nicholas J.
AU - Hurles, Matthew E.
AU - Deciphering Developmental Disorders (DDD) Study
N1 - © The Author 2015. Published by Oxford University Press.
PY - 2015/5/15
Y1 - 2015/5/15
N2 - Delineating the genetic causes of developmental disorders is an area of active investigation. Mosaic structural abnormalities, defined as copy number or loss of heterozygosity events that are large and present in only a subset of cells, have been detected in 0.2%-1.0% of children ascertained for clinical genetic testing. However, the frequency among healthy children in the community is not well characterised, which, if known, could inform better interpretation of the pathogenic burden of this mutational category in children with developmental disorders. In a case-control analysis, we compared the rate of large-scale mosaicism between 1,303 children with developmental disorders and 5,094 children lacking developmental disorders, using an analytical pipeline we developed, and identified a substantial enrichment in cases (odds ratio=39.4, P-value 1.073e-6). A meta-analysis that included frequency estimates among an additional 7,000 children with congenital diseases yielded an even stronger statistical enrichment (p-value 1.784e-11). In addition, to maximize detection of low-clonality events in probands, we applied a trio-based mosaic detection algorithm, which detected two additional events in probands, including an individual with genome-wide suspected chimerism. In total, we detected 12 structural mosaic abnormalities among 1,303 children (0.9%). Given the burden of mosaicism detected in cases, we suspected that many of the events detected in probands were pathogenic. Scrutiny of the genotypic-phenotypic relationship of each detected variant assessed that the majority of events are very likely pathogenic. This work quantifies the burden of structural mosaicism as a cause of developmental disorders.
AB - Delineating the genetic causes of developmental disorders is an area of active investigation. Mosaic structural abnormalities, defined as copy number or loss of heterozygosity events that are large and present in only a subset of cells, have been detected in 0.2%-1.0% of children ascertained for clinical genetic testing. However, the frequency among healthy children in the community is not well characterised, which, if known, could inform better interpretation of the pathogenic burden of this mutational category in children with developmental disorders. In a case-control analysis, we compared the rate of large-scale mosaicism between 1,303 children with developmental disorders and 5,094 children lacking developmental disorders, using an analytical pipeline we developed, and identified a substantial enrichment in cases (odds ratio=39.4, P-value 1.073e-6). A meta-analysis that included frequency estimates among an additional 7,000 children with congenital diseases yielded an even stronger statistical enrichment (p-value 1.784e-11). In addition, to maximize detection of low-clonality events in probands, we applied a trio-based mosaic detection algorithm, which detected two additional events in probands, including an individual with genome-wide suspected chimerism. In total, we detected 12 structural mosaic abnormalities among 1,303 children (0.9%). Given the burden of mosaicism detected in cases, we suspected that many of the events detected in probands were pathogenic. Scrutiny of the genotypic-phenotypic relationship of each detected variant assessed that the majority of events are very likely pathogenic. This work quantifies the burden of structural mosaicism as a cause of developmental disorders.
UR - http://www.scopus.com/inward/record.url?scp=84929720001&partnerID=8YFLogxK
U2 - 10.1093/hmg/ddv033
DO - 10.1093/hmg/ddv033
M3 - Article
C2 - 25634561
SN - 0964-6906
VL - 24
SP - 2733
EP - 2745
JO - Human Molecular Genetics
JF - Human Molecular Genetics
IS - 10
ER -