4.8 Article

KCTD13 is a major driver of mirrored neuroanatomical phenotypes of the 16p11.2 copy number variant

Journal

NATURE
Volume 485, Issue 7398, Pages 363-U111

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/nature11091

Keywords

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Funding

  1. Silvo O. Conte center from the National Institute of Mental Health (NIMH), National Institutes of Health [MH-094268, MH-084018, MH-091230, HD06286]
  2. Simon's Foundation
  3. Autism Consortium of Boston
  4. Leenaards Foundation
  5. Swiss National Science Foundation
  6. Swiss National Science Foundation Sinergia
  7. NIMH National Research Service [F32MH087123]
  8. bourse de releve academique de la Faculte de Biologie et Medecine de l'Universite de Lausanne

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Copy number variants (CNVs) are major contributors to genetic disorders(1). We have dissected a region of the 16p11.2 chromosome-which encompasses 29 genes-that confers susceptibility to neurocognitive defects when deleted or duplicated(2,3). Overexpression of each human transcript in zebrafish embryos identified KCTD13 as the sole message capable of inducing the microcephaly phenotype associated with the 16p11.2 duplication(2-5), whereas suppression of the same locus yielded the macrocephalic phenotype associated with the 16p11.2 deletion(5,6), capturing the mirror phenotypes of humans. Analyses of zebrafish and mouse embryos suggest that microcephaly is caused by decreased proliferation of neuronal progenitors with concomitant increase in apoptosis in the developing brain, whereas macrocephaly arises by increased proliferation and no changes in apoptosis. A role for KCTD13 dosage changes is consistent with autism in both a recently reported family with a reduced 16p11.2 deletion and a subject reported here with a complex 16p11.2 rearrangement involving de novo structural alteration of KCTD13. Our data suggest that KCTD13 is a major driver for the neurodevelopmental phenotypes associated with the 16p11.2 CNV, reinforce the idea that one or a small number of transcripts within a CNV can underpin clinical phenotypes, and offer an efficient route to identifying dosage-sensitive loci.

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