TY - JOUR
T1 - The contribution of X-linked coding variation to severe developmental disorders
AU - Deciphering Developmental Disorders Study
AU - Martin, Hilary C.
AU - Gardner, Eugene J.
AU - Samocha, Kaitlin E.
AU - Kaplanis, Joanna
AU - Akawi, Nadia
AU - Sifrim, Alejandro
AU - Eberhardt, Ruth Y.
AU - Tavares, Ana Lisa Taylor
AU - Neville, Matthew D.C.
AU - Niemi, Mari E.K.
AU - Gallone, Giuseppe
AU - McRae, Jeremy
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 - Jarvis, Joanna
AU - Keelagher, Rebecca
AU - Lim, Derek
AU - McMullan, Dominic
AU - Morton, Jenny
AU - Naik, Swati
AU - O’Driscoll, Mary
AU - Ong, Kai Ren
AU - Osio, Deborah
AU - Ragge, Nicola
AU - Turton, Sarah
AU - Vogt, Julie
AU - Williams, Denise
AU - Bodek, Simon
AU - Donaldson, Alan
AU - Hills, Alison
AU - Low, Karen
N1 - Publisher Copyright:
© 2021, The Author(s).
PY - 2021/12
Y1 - 2021/12
N2 - Over 130 X-linked genes have been robustly associated with developmental disorders, and X-linked causes have been hypothesised to underlie the higher developmental disorder rates in males. Here, we evaluate the burden of X-linked coding variation in 11,044 developmental disorder patients, and find a similar rate of X-linked causes in males and females (6.0% and 6.9%, respectively), indicating that such variants do not account for the 1.4-fold male bias. We develop an improved strategy to detect X-linked developmental disorders and identify 23 significant genes, all of which were previously known, consistent with our inference that the vast majority of the X-linked burden is in known developmental disorder-associated genes. Importantly, we estimate that, in male probands, only 13% of inherited rare missense variants in known developmental disorder-associated genes are likely to be pathogenic. Our results demonstrate that statistical analysis of large datasets can refine our understanding of modes of inheritance for individual X-linked disorders.
AB - Over 130 X-linked genes have been robustly associated with developmental disorders, and X-linked causes have been hypothesised to underlie the higher developmental disorder rates in males. Here, we evaluate the burden of X-linked coding variation in 11,044 developmental disorder patients, and find a similar rate of X-linked causes in males and females (6.0% and 6.9%, respectively), indicating that such variants do not account for the 1.4-fold male bias. We develop an improved strategy to detect X-linked developmental disorders and identify 23 significant genes, all of which were previously known, consistent with our inference that the vast majority of the X-linked burden is in known developmental disorder-associated genes. Importantly, we estimate that, in male probands, only 13% of inherited rare missense variants in known developmental disorder-associated genes are likely to be pathogenic. Our results demonstrate that statistical analysis of large datasets can refine our understanding of modes of inheritance for individual X-linked disorders.
UR - http://www.scopus.com/inward/record.url?scp=85099943870&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85099943870&partnerID=8YFLogxK
U2 - 10.1038/s41467-020-20852-3
DO - 10.1038/s41467-020-20852-3
M3 - Article
C2 - 33504798
AN - SCOPUS:85099943870
SN - 2041-1723
VL - 12
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 627
ER -