Exome sequencing of thyroid disease in Val Borbera
The Val Borbera is a region characterized by low iodine and high prevalence of thyroid disorders, the commonest endocrine disorders in the general population. About 30% of the participants of the Val Borbera Project were affected by such disorders and were characterized by several parameters, TSH level, anti TPO antibodies, echography, family origin. Individuals with extreme phenotypes were identified and could be clustered based on family origin and genotype. We propose to exome sequence 6 of them, affected with true goiter, at high dept (40-60x) to obtain information on exonic rare variants. Due to the family structure and to the availability of whole genome sequence information on 110 individuals from the isolated population we expect to be able to identify putative causative variants for thyroid disorders that may be studied in the remaining affected individuals.
- 19/05/2016
- 8 samples
- DAC: EGAC00001000205
- Technology: Illumina HiSeq 2000
- PUB DUO:0000019 (version: 2021-02-23)publication requiredThis data use modifier indicates that requestor agrees to make results of studies using the data available to the larger scientific community.
- US DUO:0000026 (version: 2021-02-23)user specific restrictionThis data use modifier indicates that use is limited to use by approved users.
- PS DUO:0000027 (version: 2021-02-23)project specific restrictionThis data use modifier indicates that use is limited to use within an approved project.
- IS DUO:0000028 (version: 2021-02-23)institution specific restrictionThis data use modifier indicates that use is limited to use within an approved institution.
- GRU DUO:0000042 (version: 2021-02-23)general research useThis data use permission indicates that use is allowed for general research use for any research purpose.
Wellcome Trust Sanger Institute Data Sharing 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 |
|---|---|---|
| EGAS00001000344 | 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 | |
|---|---|---|---|---|
| EGAF00000165128 | bam | 3.7 GB | ||
| EGAF00000165129 | bam | 3.1 GB | ||
| EGAF00000165130 | bam | 3.1 GB | ||
| EGAF00000165131 | bam | 3.4 GB | ||
| EGAF00000165132 | bam | 3.3 GB | ||
| EGAF00000165133 | bam | 3.8 GB | ||
| EGAF00000165134 | bam | 3.5 GB | ||
| EGAF00000165135 | bam | 3.4 GB | ||
| EGAF00000166456 | bam | 4.5 GB | ||
| EGAF00000166457 | bam | 3.9 GB | ||
| EGAF00000166458 | bam | 3.8 GB | ||
| EGAF00000166459 | bam | 4.2 GB | ||
| EGAF00000166460 | bam | 4.0 GB | ||
| EGAF00000166461 | bam | 4.6 GB | ||
| EGAF00000166462 | bam | 4.4 GB | ||
| EGAF00000166463 | bam | 4.2 GB | ||
| 16 Files (60.9 GB) | ||||