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Integrating healthcare and research genetic data empowers the discovery of 28 novel developmental disorders

Authors :
Matthew E. Hurles
Deciphering Developmental Disorders Study
de Boer E
Jeffrey C. Barrett
Kevin J. Arvai
Stefan H. Lelieveld
Giuseppe Gallone
Patrick J. Short
Helen V. Firth
Hilary C. Martin
Christian Gilissen
Alison Yeung
Joanna Kaplanis
Petr Danecek
Ni Huang
Rebecca I. Torene
Kaitlin E. Samocha
R. Pfundt
Helger G. Yntema
Han G. Brunner
Caroline F. Wright
Ruth Y. Eberhardt
Jane Juusola
Reijnders Mrf.
Inigo Martincorena
David R. FitzPatrick
Jeremy F. McRae
Eugene J. Gardner
Vissers Lelm
Zhancheng Zhang
Kyle Retterer
Jenny Lord
Laurens Wiel
Publication Year :
2019
Publisher :
Cold Spring Harbor Laboratory, 2019.

Abstract

SummaryDe novo mutations (DNMs) in protein-coding genes are a well-established cause of developmental disorders (DD). However, known DD-associated genes only account for a minority of the observed excess of such DNMs. To identify novel DD-associated genes, we integrated healthcare and research exome sequences on 31,058 DD parent-offspring trios, and developed a simulation-based statistical test to identify gene-specific enrichments of DNMs. We identified 285 significantly DD-associated genes, including 28 not previously robustly associated with DDs. Despite detecting more DD-associated genes than in any previous study, much of the excess of DNMs of protein-coding genes remains unaccounted for. Modelling suggests that over 1,000 novel DD-associated genes await discovery, many of which are likely to be less penetrant than the currently known genes. Research access to clinical diagnostic datasets will be critical for completing the map of dominant DDs.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........6da160ce9cbc430e2807b72510bf8c6f