TY - JOUR
T1 - Evidence for 28 genetic disorders discovered by combining healthcare and research data
AU - Kaplanis, Joanna
AU - Samocha, Kaitlin E.
AU - Wiel, Laurens
AU - Zhang, Zhancheng
AU - Arvai, Kevin J.
AU - Eberhardt, Ruth Y.
AU - Gallone, Giuseppe
AU - Lelieveld, Stefan H.
AU - Martin, Hilary C.
AU - McRae, Jeremy F.
AU - Short, Patrick J.
AU - Torene, Rebecca I.
AU - de Boer, Elke
AU - Danecek, Petr
AU - Gardner, Eugene J.
AU - Huang, Ni
AU - Lord, Jenny
AU - Martincorena, Iñigo
AU - Pfundt, Rolph
AU - Reijnders, Margot R. F.
AU - Yeung, Alison
AU - Yntema, Helger G.
AU - Borras, Silvia
AU - Clark, Caroline
AU - Dean, John
AU - Miedzybrodzka, Zosia
AU - Ross, Alison
AU - Tennant, Stephen
AU - Dabir, Tabib
AU - Donnelly, Deirdre
AU - Humphreys, Mervyn
AU - Magee, Alex
AU - McConnell, Vivienne
AU - McKee, Shane
AU - McNerlan, Susan
AU - Morrison, Patrick J.
AU - Rea, Gillian
AU - Stewart, Fiona
AU - Cole, Trevor
AU - Cooper, Nicola
AU - Cooper-Charles, Lisa
AU - Cox, Helen
AU - Islam, Lily
AU - Berg, Jonathan
AU - Goudie, David
AU - McWilliam, Catherine
AU - Jackson, Andrew
AU - Gardiner, Carol
AU - Ellis, Ian
AU - Stewart, Alison
AU - Vissers, Lisenka E. L. M.
AU - Juusola, Jane
AU - Wright, Caroline F.
AU - Brunner, Han G.
AU - Firth, Helen V.
AU - Fitzpatrick, David R.
AU - Barrett, Jeffrey C.
AU - Hurles, Matthew E.
AU - Gilissen, Christian
AU - Retterer, Kyle
N1 - Inclusion of RadboudUMC data was in part supported by the Solve-RD project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 779257. This work was in part financially supported by grants from the Netherlands Organization for Scientific Research (917-17-353 to C.G.). The DDD study presents independent research commissioned by the Health Innovation Challenge Fund (grant number HICF-1009-003). This study makes use of DECIPHER, which is funded by the Wellcome Trust. The full acknowledgements can be found at www.ddduk.org/access.html.
PY - 2020/10/29
Y1 - 2020/10/29
N2 - De novo mutations in protein-coding genes are a well-established cause of developmental disorders1. However, genes known to be associated with developmental disorders account for only a minority of the observed excess of such de novo mutations1,2. Here, to identify previously undescribed genes associated with developmental disorders, we integrate healthcare and research exome-sequence data from 31,058 parent–offspring trios of individuals with developmental disorders, and develop a simulation-based statistical test to identify gene-specific enrichment of de novo mutations. We identified 285 genes that were significantly associated with developmental disorders, including 28 that had not previously been robustly associated with developmental disorders. Although we detected more genes associated with developmental disorders, much of the excess of de novo mutations in protein-coding genes remains unaccounted for. Modelling suggests that more than 1,000 genes associated with developmental disorders have not yet been described, 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 genes associated with developmental disorders.
AB - De novo mutations in protein-coding genes are a well-established cause of developmental disorders1. However, genes known to be associated with developmental disorders account for only a minority of the observed excess of such de novo mutations1,2. Here, to identify previously undescribed genes associated with developmental disorders, we integrate healthcare and research exome-sequence data from 31,058 parent–offspring trios of individuals with developmental disorders, and develop a simulation-based statistical test to identify gene-specific enrichment of de novo mutations. We identified 285 genes that were significantly associated with developmental disorders, including 28 that had not previously been robustly associated with developmental disorders. Although we detected more genes associated with developmental disorders, much of the excess of de novo mutations in protein-coding genes remains unaccounted for. Modelling suggests that more than 1,000 genes associated with developmental disorders have not yet been described, 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 genes associated with developmental disorders.
UR - http://www.scopus.com/inward/record.url?scp=85092568889&partnerID=8YFLogxK
U2 - 10.1038/s41586-020-2832-5
DO - 10.1038/s41586-020-2832-5
M3 - Article
C2 - 33057194
AN - SCOPUS:85092568889
SN - 0028-0836
VL - 586
SP - 757
EP - 762
JO - Nature
JF - Nature
IS - 7831
ER -