Whole-genome sequencing of rare disease patients in a national healthcare system
Most patients with rare diseases do not receive a molecular diagnosis and the aetiological variants and mediating genes for more than half such disorders remain to be discovered. We implemented whole-genome sequencing (WGS) in a national healthcare system to streamline diagnosis and to discover unknown aetiological variants, in the coding and non-coding regions of the genome. In a pilot study for the 100,000 Genomes Project, we generated WGS data for 13,037 participants, of whom 9,802 had a rare disease, and provided a genetic diagnosis to 1,138 of the 7,065 patients with detailed phenotypic data. We identified 95 Mendelian associations between genes and rare diseases, of which 11 have been discovered since 2015 and at least 79 are confirmed aetiological. Using WGS of UK Biobank1, we showed that rare alleles can explain the presence of some individuals in the tails of a quantitative red blood cell (RBC) trait. Finally, we reported 4 novel non-coding variants which cause disease through the disruption of transcription of ARPC1B, GATA1, LRBA and MPL. Our study demonstrates a synergy by using WGS for diagnosis and aetiological discovery in routine healthcare.
- 1 sample
- DAC: EGAC00001000259
- Technology: Illumina HiSeq 4000
- US DUO:0000026 (version: 2019-01-07)user specific restrictionThis data use modifier indicates that use is limited to use by approved users.
- PS DUO:0000027 (version: 2019-01-07)project specific restrictionThis data use modifier indicates that use is limited to use within an approved project.
- IS DUO:0000028 (version: 2019-01-07)institution specific restrictionThis data use modifier indicates that use is limited to use within an approved institution.
- RTN DUO:0000029 (version: 2019-01-07)return to database or resourceThis data use modifier indicates that the requestor must return derived/enriched data to the database/resource.
- GRU DUO:0000042 (version: 2019-01-07)general research useThis data use permission indicates that use is allowed for general research use for any research purpose.
NIHR-BR-RD Data Access Policy
Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.
Study ID | Study Title | Study Type |
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EGAS00001004364 | Other |
This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.
ID | File Type | Size | Located in | |
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EGAF00003593439 | fq.gz | 844.6 MB | ||
EGAF00003593440 | fq.gz | 824.1 MB | ||
2 Files (1.7 GB) |