ELSA Polygenic Scores, 2022

DOI

Abstract copyright UK Data Service and data collection copyright owner.

Polygenic scores (PGSs) are specific to each individual and represent an individual load for the common variants that are associated with a trait under study. They are increasingly used to predict disease risks. PGSs have been constructed for a number of behavioural, emotional and health-related phenotypes in the English Longitudinal Study of Ageing (ELSA) study (see the main ELSA study under SN 5050). ELSA is a large, multidisciplinary study of cohort of men and women living in England aged 50 or over and representative of the English population both in terms of socioeconomic profile and geographic region. The methods employed for creating PGSs are those outlined by the US Health and Retirement Study (HRS - not held at the UK Data Service). This was done in order to harmonise the research across age-related longitudinal studies by adopting a consistent methodology for creating PGSs. By making these PGSs publicly available, it is hoped that they will facilitate wide use among the ELSA data users.Latest edition information:For the second edition (November 2022), updated polygenic scores data and documentation were deposited.

No sampling (total universe)

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Identifier
DOI https://doi.org/10.5255/UKDA-SN-8773-2
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=19c4db044ba425f201cf682034dd14aaa8133a0a9e94a48b21b29a9fad4fb276
Provenance
Creator NatCen Social Research
Publisher UK Data Service
Publication Year 2021
Funding Reference Economic and Social Research Council; HM Treasury
Rights Copyright NatCen Social Research; <p>The Data Collection is available to UK Data Service registered users subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">End User Licence Agreement</a>.</p><p>Commercial use of the data requires approval from the data owner or their nominee. The UK Data Service will contact you.</p>
OpenAccess true
Representation
Resource Type Numeric
Discipline Social Sciences
Spatial Coverage England