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The South Asia Rheumatic Heart Disease Genetics Network Data

This dataset comprises over 850 individuals recruited in Uttar Pradesh, India, including cases of rheumatic heart disease based on echocardiographic diagnosis and controls recruited on the basis of normal echocardiograms. For this analysis all available samples were genotyped using the Illumina HumanCore-24 BeadChip platform.

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The South Asia Rheumatic Heart Disease Genetics Network Data Access Committee will consider applications for access to anonymised genotype data generated as a result of the Network’s activities.

Guidelines and Information about Data Access 1. General principles The South Asia Rheumatic Heart Disease Genetics Network will consider applications for access to anonymised genotype data generated as a result of the Network’s activities. Access to data will be granted to qualified researchers for appropriate use. A qualified researcher refers to a scientist who is employed, or a student enrolled at, or legitimately affiliated with an academic, non-profit or government institution, or a commercial company. The data will be deposited in the European Genotype Archive (EGA) and access will be by application to the South Asia Rheumatic Heart Disease Genetics Network Data Access Committee (DAC). Access to data will be granted to researchers for appropriate use and will be governed by the provisions laid out in the associated informed consent for each cohort or collection, and the terms contained in the Data Access Agreement. The DAC is concerned only with access to the core, anonymised, genotype data generated by this study. Data will be accompanied by information on the sex, age and geographical region recruitment. Access is conditional upon availability of samples and/or data and signed agreement by the researcher(s) and the responsible employing Institution to abide by policies related to publication, data disposal, ethical approval and confidentiality. 2. Application procedure Applicants requesting access to data from the South Asia Rheumatic Heart Disease Genetics Network will be asked to complete a basic application form and to agree to the terms and conditions laid out in the Data Access Agreement (DAA). The DAA must be signed by both the applicant and the relevant Head of Department, Head of Institute, or equivalent. Successful applicants who have access to data will be designated “Registered Users” and will be issued with a username and password by the EGA to enable access to the database. The DAC will consider applications that include named collaborators, but each Institution must sign a separate Data Access Agreement. Should you wish to share the data with additional collaborators not previously approved, they must make a separate application for access to the Data. Applicants agree to use the data for the approved purpose and project described in the application; use of the data for a new purpose or project will require a new application and approval. The relevant forms are available on request by email to tom [dot] parks [at] well [dot] ox [dot] ac [dot] uk. 3. Membership of Network Data Access Committee Prof Ganesan Karthikeyan, All India Institute of Medical Sciences, Delhi, India – Chair Dr Tom Parks, Wellcome Centre for Human Genetics, Oxford, UK – Secretary Professor Balraj Mittal, Babasahen Bhimrao Ambedkar University, Lucknow, India Professor Masood Sadiq, Children’s Hospital Lahore and Institute of Child Health, Lahore, Pakistan Dr Kathryn Robson, Weatherall Institute of Molecular Medicine, Oxford, UK 4. Assessment Criteria Each application will be assessed to determine if: • it has been submitted by a qualified researcher or researchers, embedded in a recognised research institution that can provide institutional responsibility for appropriate research governance • the project described constitutes 'biomedical research' in the context of the consent process, and is likely to be understood as such by the sample donors • it breaches any of the ethical permissions or restrictions in the consent forms for any component cohort or collection • it has the potential to produce information that will enable identification of individual participants • that PhD students include details of their research supervisors In addition the DAC has agreed NOT attempt to peer review the scientific quality of proposals. However, it does ask for a brief summary of the research to be undertaken, in order to judge whether it falls within the scope of the consents. It also considers that grossly inadequate research is ethically questionable, and reserves the right to refer back for clarification those requests that do not appear to attain even a minimal standard of competence

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
EGAS00001003565 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
EGAF00002439980 vcf 1.2 GB
1 File (1.2 GB)