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The contribution of X-linked coding variation to severe developmental disorders

Title: The contribution of X-linked coding variation to severe developmental disorders
Authors: Martin HC; Gardner EJ; Samocha KE; Kaplanis J; Akawi N; Sifrim A; Eberhardt RY; Tavares ALT; Neville MDC; Niemi MEK; Gallone G; McRae J; Borras S; Clark C; Dean J; Miedzybrodzka Z; Ross A; Tennant S; Dabir T; Donnelly D; Humphreys M; Magee A; McConnell V; McKee S; McNerlan S; Morrison PJ; Rea G; Stewart F; Cole T; Cooper N; Cooper-Charles L; Cox H; Islam L; Jarvis J; Keelagher R; Lim D; McMullan D; Morton J; Naik S; O'Driscoll M; Ong K-R; Osio D; Ragge N; Turton S; Vogt J; Williams D; Bodek S; Donaldson A; Hills A; Low K; Newbury-Ecob R; Norman AM; Roberts E; Scurr I; Smithson S; Tooley M; Abbs S; Armstrong R; Dunn C; Holden S; Park S-M; Paterson J; Raymond L; Reid E; Sandford R; Simonic I; Tischkowitz M; Woods G; Bradley L; Comerford J; Green A; Lynch S; McQuaid S; Mullaney B; Berg J; Goudie D; Mavrak E; McLean J; McWilliam C; Reavey E; Azam T; Cleary E; Jackson A; Lam W; Lampe A; Moore D; Porteous M; Baple E; Baptista J; Brewer C; Castle B; Kivuva E; Owens M; Rankin J; Shaw-Smith C; Turner C; Turnpenny P; Tysoe C; Bradley T; Davidson R; Gardiner C; Joss S; Kinning E; Longman C; McGowan R; Murday V; Pilz D; Tobias E; Whiteford M; Williams N; Barnicoat A; Clement E; Faravelli F; Hurst J; Jenkins L; Jones W; Kumar VKA; Lees M; Loughlin S; Male A; Morrogh D; Rosser E; Scott R; Wilson L; Beleza A; Deshpande C; Flinter F; Holder M; Irving M; Izatt L; Josifova D; Mohammed S; Molenda A; Robert L; Roworth W; Ruddy D; Ryten M; Yau S; Bennett C; Blyth M; Campbell J; Coates A; Dobbie A; Hewitt S; Hobson E; Jackson E; Jewell R; Kraus A; Prescott K; Sheridan E; Thomson J; Bradshaw K; Dixit A; Eason J; Haines R; Harrison R; Mutch S; Sarkar A; Searle C; Shannon N; Sharif A; Suri M; Vasudevan P; Canham N; Ellis I; Greenhalgh L; Howard E; Stinton V; Swale A; Weber A; Banka S; Breen C; Briggs T; Burkitt-Wright E; Chandler K; Clayton-Smith J; Donnai D; Douzgou S; Gaunt L; Jones E; Kerr B; Langley C; Metcalfe K; Smith A; Wright R; Bourn D; Burn J; Fisher R; Hellens S; Henderson A; Montgomery T; Splitt M; Straub V; Wright M; Zwolinski S; Allen Z; Bernhard B; Brady A; Brooks C; Busby L; Clowes V; Ghali N; Holder S; Ibitoye R; Wakeling E; Blair E; Carmichael J; Cilliers D; Clasper S; Gibbons R; Kini U; Lester T; Nemeth A; Poulton J; Price S; Shears D; Stewart H; Wilkie A; Albaba S; Baker D; Balasubramanian M; Johnson D; Parker M; Quarrell O; Stewart A; Willoughby J; Crosby C; Elmslie F; Homfray T; Jin H; Lahiri N; Mansour S; Marks K; McEntagart M; Saggar A; Tatton-Brown K; Butler R; Clarke A; Corrin S; Fry A; Kamath A; McCann E; Mugalaasi H; Pottinger C; Procter A; Sampson J; Sansbury F; Varghese V; Baralle D; Callaway A; Cassidy EJ; Daniels S; Douglas A; Foulds N; Hunt D; Kharbanda M; Lachlan K; Mercer C; Side L; Temple IK; Wellesley D; Wright CF; FitzPatrick DR; Firth HV; Hurles ME
Source: Nature Communications, December 2021
Publisher Information: Nature Research
Publication Year: 2021
Collection: Newcastle University Library ePrints Service
Description: © 2021, The Author(s).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.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: unknown
Relation: https://eprints.ncl.ac.uk/273115; https://eprints.ncl.ac.uk/fulltext.aspx?url=273115/A1C8A8B2-06CC-4C57-9D5D-5E2806D970F9.pdf&pub_id=273115
Availability: https://eprints.ncl.ac.uk/273115
Rights: https://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.915C3262
Database: BASE