Becker, J;
Burik, CAP;
Goldman, G;
Wang, N;
Jayashankar, H;
Bennett, M;
Belsky, DW;
... Okbay, A; + view all
(2021)
Resource profile and user guide of the Polygenic Index Repository.
Nature Human Behaviour
, 5
pp. 1744-1758.
10.1038/s41562-021-01119-3.
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Abstract
Polygenic indexes (PGIs) are DNA-based predictors. Their value for research in many scientific disciplines is growing rapidly. As a resource for researchers, we used a consistent methodology to construct PGIs for 47 phenotypes in 11 datasets. To maximize the PGIs’ prediction accuracies, we constructed them using genome-wide association studies — some not previously published — from multiple data sources, including 23andMe and UK Biobank. We present a theoretical framework to help interpret analyses involving PGIs. A key insight is that a PGI can be understood as an unbiased but noisy measure of a latent variable we call the ‘additive SNP factor’. Regressions in which the true regressor is this factor but the PGI is used as its proxy therefore suffer from errors-in-variables bias. We derive an estimator that corrects for the bias, illustrate the correction, and make a Python tool for implementing it publicly available.
| Type: | Article |
|---|---|
| Title: | Resource profile and user guide of the Polygenic Index Repository |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1038/s41562-021-01119-3 |
| Publisher version: | https://doi.org/10.1038/s41562-021-01119-3 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Behavioural genetics, Economics, Genome-wide association studies, Human behaviour |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Behavioural Science and Health |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10131355 |
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