Fine-mapping clustered GWAS hits enhances the identification of disease risk and protective genetic variants

This dataset contains: 1) Raw FASTQ and BAM files for short reads. Here, DNA libraries were prepared using Nextera Rapid Capture Custom Enrichment kit (Illumina) and paired-end sequenced on a HiSeq2500 (Illumina). 2) Raw FASTQ and BAM files for long reads. Here, DNA libraries were prepared using 1D DNA ligation Sequencing Kit (SQK-LSK109, Oxford Nanopore) and single-end sequenced on a MinION device (Oxford Nanopore).

86 samples
DAC: EGAC00001001908
Technologies: Illumina HiSeq 2500, MinION

Access Policy1 Study Files

Metadata

Request Access

Data Access Policy for short and long-read sequencing results obtained for 86 Brugada syndrome samples.

1. The User Institution agrees to only use these Data for the purpose of the Project (described in Appendix II) and only for Research Purposes. The User Institution further agrees that it will only use these Data for Research Purposes. 2. The User Institution agrees to preserve, at all times, the confidentiality of these Data. In particular, it undertakes not to use, or attempt to use these Data to compromise or otherwise infringe the confidentiality of information on Research Participants. 3. The User Institution agrees to protect the confidentiality of Research Participants in any research papers or publications that they prepare by taking all reasonable care to limit the possibility of identification. 4. The User Institution agrees not to link or combine these Data to other information or archived data available in a way that could re-identify the Research Participants, even if access to that data has been formally granted to the User Institution or is freely available without restriction. 5. The User Institution agrees only to transfer or disclose these Data, in whole or part, or any material derived from these Data, to the Authorized Personnel. Should the User Institution wish to share these Data with an External Collaborator, the External Collaborator must complete a separate application for access to these Data. 6. The User Institution agrees that the Data Producers, and all other parties involved in the creation, funding or protection of these Data: a) make no warranty or representation, express or implied as to the accuracy, quality or comprehensiveness of these Data; b) exclude to the fullest extent permitted by law all liability for actions, claims, proceedings, demands, losses (including but not limited to loss of profit), costs, awards damages and payments made by the Recipient that may arise (whether directly or indirectly) in any way whatsoever from the Recipient’s use of these Data or from the unavailability of, or break in access to, these Data for whatever reason and; c) bear no responsibility for the further analysis or interpretation of these Data. 7. The User Institution agrees to follow the Guidelines on FAIR Data Management in Horizon 2020 (https://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf) in https://ec.europa.eu/research/participants/docs/h2020-funding-guide/cross-cutting-issues/open-access-data-management/open-access_en.htm and the Toronto Statement (https://www.nature.com/articles/461168a). This includes but is not limited to recognizing the contribution of the Data Producers and including a proper acknowledgement in all reports or publications resulting from the use of these Data. 8. The User Institution agrees not to make intellectual property claims on these Data and not to use intellectual property protection in ways that would prevent or block access to, or use of, any element of these Data, or conclusion drawn directly from these Data. 9. The User Institution can elect to perform further research that would add intellectual and resource capital to these data and decide to obtain intellectual property rights on these downstream discoveries. In this case, the User Institution agrees to implement licensing policies that will not obstruct further research and to follow the U.S. National Institutes of Health Best Practices for the Licensing of Genomic Inventions (2005) (https://www.ott.nih.gov/sites/default/files/documents/pdfs/70fr18413.pdf) conformity with the Organization for Economic Co-operation and Development Guidelines for the Licensing of the Genetic Inventions (2006) (http://www.oecd.org/science/biotech/36198812.pdf). 10. The User Institution agrees to destroy/discard the Data held, once it is no longer used for the Project, unless obliged to retain the data for archival purposes in conformity with audit or legal requirements.

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
EGAS00001004927	Short and long-read sequencing of Brugada syndrome samples	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
EGAF00004961713	fastq.gz	315.1 MB
EGAF00004961714	fastq.gz	310.2 MB
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EGAF00004961717	bam	363.9 MB
EGAF00004961718	bam	335.5 MB
EGAF00004961719	fastq.gz	293.1 MB
EGAF00004961720	fastq.gz	276.2 MB
EGAF00004961721	fastq.gz	323.0 MB
EGAF00004961722	fastq.gz	310.4 MB
EGAF00004961723	fastq.gz	407.6 MB
EGAF00004961724	fastq.gz	428.7 MB
EGAF00004961725	fastq.gz	759.1 MB
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EGAF00004961836	bam	337.0 MB
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EGAF00004961843	bam	338.5 MB
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EGAF00004970892	fastq.gz	209.6 kB
EGAF00004970893	fastq.gz	73.0 MB
EGAF00004970894	fastq.gz	78.0 MB
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EGAF00004970912	fastq.gz	79.3 MB
EGAF00004970913	fastq.gz	80.1 MB
EGAF00004970914	fastq.gz	41.4 kB
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EGAF00004970920	fastq.gz	65.2 MB
EGAF00004970921	fastq.gz	85.7 MB
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EGAF00004970929	fastq.gz	402.8 kB
EGAF00004970930	fastq.gz	89.8 MB
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EGAF00004970932	fastq.gz	126.3 MB
EGAF00004970933	fastq.gz	103.7 MB
EGAF00004970934	fastq.gz	114.6 MB
EGAF00004970935	fastq.gz	61.0 MB
EGAF00004970936	fastq.gz	78.2 MB
EGAF00004970937	fastq.gz	67.6 MB
EGAF00004970938	fastq.gz	167.5 MB
EGAF00004970939	fastq.gz	197.7 MB
EGAF00004970940	fastq.gz	95.7 MB
EGAF00004970941	fastq.gz	211.2 MB
EGAF00004970942	fastq.gz	146.3 MB
EGAF00004975266	fastq.gz	61.5 MB
EGAF00004975267	fastq.gz	74.4 MB
555 Files (180.3 GB)