Bibliographic Details
| Title: |
Rare disease gene association discovery from burden analysis of the 100,000 Genomes Project data. |
| Authors: |
Cipriani V, Vestito L, Magavern EF, Jacobsen JO, Arno G, Behr ER, Benson KA, Bertoli M, Bockenhauer D, Bowl MR, Burley K, Chan LF, Chinnery P, Conlon P, Costa M, Davidson AE, Dawson SJ, Elhassan E, Flanagan SE, Futema M, Gale DP, García-Ruiz S, Corcia CG, Griffin HR, Hambleton S, Hicks AR, Houlden H, Houlston RS, Howles SA, Kleta R, Lekkerkerker I, Lin S, Liskova P, Mitchison H, Morsy H, Mumford AD, Newman WG, Neatu R, O'Toole EA, Ong AC, Pagnamenta AT, Rahman S, Rajan N, Robinson PN, Ryten M, Sadeghi-Alavijeh O, Sayer JA, Shovlin CL, Taylor JC, Teltsh O, Tomlinson I, Tucci A, Turnbull C, van Eerde AM, Ware JS, Watts LM, Webster AR, Westbury SK, Zheng SL, Caulfield M, Smedley D |
| Source: |
MedRxiv : the preprint server for health sciences [medRxiv] 2023 Dec 21. Date of Electronic Publication: 2023 Dec 21. |
| Publication Type: |
Preprint; Journal Article |
| Journal Info: |
Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE |
| Database: |
MEDLINE Ultimate |
