| Title: | Resource profile and user guide of the Polygenic Index Repository |
| Journal: | Nature Human Behaviour |
| Published: | 17 Jun 2021 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/34140656/ |
| DOI: | https://doi.org/10.1038/s41562-021-01119-3 |
| URL: | https://research.vu.nl/files/152631985/Resource_profile_and_user_guide_of_the_Polygenic_Index_Repository.pdf |
| Citations: | 83 (54 in last 2 years) as of 8 Aug 2024 |
Publication 3587
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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.</p>
6 Keywords
- Data Analysis
- Databases, Genetic
- Genome-Wide Association Study
- Humans
- Multifactorial Inheritance
- Polymorphism, Single Nucleotide
42 Authors
- Joel Becker
- Casper A. P. Burik
- Grant Goldman
- Nancy Wang
- Hariharan Jayashankar
- Michael Bennett
- Daniel W. Belsky
- Richard Karlsson Linnér
- Rafael Ahlskog
- Aaron Kleinman
- David A. Hinds
- Avshalom Caspi
- David L. Corcoran
- Terrie E. Moffitt
- Richie Poulton
- Karen Sugden
- Benjamin S. Williams
- Kathleen Mullan Harris
- Andrew Steptoe
- Olesya Ajnakina
- Lili Milani
- Tõnu Esko
- William G. Iacono
- Matt McGue
- Patrik K. E. Magnusson
- Travis T. Mallard
- K. Paige Harden
- Elliot M. Tucker-Drob
- Pamela Herd
- Jeremy Freese
- Alexander Young
- Jonathan P. Beauchamp
- Philipp D. Koellinger
- Sven Oskarsson
- Magnus Johannesson
- Peter M. Visscher
- Michelle N. Meyer
- David Laibson
- David Cesarini
- Daniel J. Benjamin
- Patrick Turley
- Aysu Okbay
1 Application
| Application ID | Title |
|---|---|
| 11425 | The Social Science Genetic Association Consortium |
Enabling scientific discoveries that improve human health