Data

ASPREE Whole Genome Sequencing Dataset

Monash University
Paul Lacaze (Aggregated by) Professor John McNeil (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26180/21391629.v1&rft.title=ASPREE Whole Genome Sequencing Dataset&rft.identifier=https://doi.org/10.26180/21391629.v1&rft.publisher=Monash University&rft.description=Garvan Institute of Medical Research launched the Medical Genome Reference Bank, the world’s largest publicly available ‘genome bank’ specifically of healthy older people, an initiative of Garvan’s Kinghorn Centre for Clinical Genomics and NSW Health. Because it includes only the genomes of individuals over the age of 70 who have no history of major disease (cardiovascular disease, neurodegenerative disease or cancer), the Reference Bank is expected to be relatively free of genetic variants associated with disease – making it a powerful filter, or ‘control’, for accelerating genomic discovery in medical research. In addition, it will aid in the diagnosis of genetic disease and may shed light on mechanisms of healthy aging. To make data requests, you may undertake an approval process by contacting Paul Lacaze on Paul.Lacaze@monash.edu&rft.creator=Paul Lacaze&rft.creator=Professor John McNeil&rft.date=2023&rft_rights=CC-BY-4.0&rft_subject=ARDC Data Retention Project Project&rft.type=dataset&rft.language=English Access the data

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Garvan Institute of Medical Research launched the Medical Genome Reference Bank, the world’s largest publicly available ‘genome bank’ specifically of healthy older people, an initiative of Garvan’s Kinghorn Centre for Clinical Genomics and NSW Health.

Because it includes only the genomes of individuals over the age of 70 who have no history of major disease (cardiovascular disease, neurodegenerative disease or cancer), the Reference Bank is expected to be relatively free of genetic variants associated with disease – making it a powerful filter, or ‘control’, for accelerating genomic discovery in medical research. In addition, it will aid in the diagnosis of genetic disease and may shed light on mechanisms of healthy aging.


To make data requests, you may undertake an approval process by contacting Paul Lacaze on Paul.Lacaze@monash.edu

Issued: 2023-01-24

Created: 2023-01-24

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