volume 5 issue 12 pages 1744-1758

Resource profile and user guide of the Polygenic Index Repository

Joel Becker 1
Casper A P Burik 2
Grant Goldman 3
Nancy Wang 3
Hariharan Jayashankar 3
Michael Bennett 3
Daniel W. Belsky 4, 5
Robert Karlsson 2
Rafael Ahlskog 6
Aaron Kleinman 7
David A. Hinds 7
Michelle Agee 8, 9, 10, 11
BABAK ALIPANAHI 10
Adam Auton 8, 9, 10, 11
Robert K. Bell 12
Katarzyna Bryc 8
Sarah L. Elson 8
Pierre Fontanillas 13, 14
Nicholas A Furlotte 15
Karen E. Huber 15, 16
Nadia K. Litterman 17
Jennifer C. McCreight 17, 18
Matthew H. McIntyre 19
Joanna L. Mountain 19
Carrie A. M. Northover 20
Steven J. Pitts 21
J. Fah Sathirapongsasuti 21, 22
Olga V Sazonova 21, 22
Janie F. Shelton 23
Suyash Shringarpure 24
Chao Tian 25, 26
Joyce Y. Tung 27
Vladimir Vacic 2, 28
Catherine H. Wilson 6
Avshalom Caspi 29
David L. Corcoran 30
Terrie E. Moffitt 31
Richie Poulton 3, 32
Karen Sugden 1, 3
Benjamin S. Williams 3, 25, 26
Kathleen Mullan Harris 33, 34
Andrew Steptoe 2
3
 
National Bureau of Economic Research, Cambridge, USA
7
 
23andMe, Inc., Mountain View, USA
31
 
Center for Translational Bioethics and Health Care Policy, Geisinger Health System, Danville, USA
Publication typeJournal Article
Publication date2021-06-17
scimago Q1
wos Q1
SJR5.537
CiteScore31.0
Impact factor15.9
ISSN23973374
Experimental and Cognitive Psychology
Behavioral Neuroscience
Social Psychology
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. Benjamin et al. construct polygenic indexes (DNA-based predictors) for 47 phenotypes and make them available to researchers in 11 datasets. They also present a theoretical framework and estimator to help interpret analyses using polygenic indexes.
Found 
Found 

Top-30

Journals

1
2
3
4
Nature Communications
4 publications, 3.39%
Translational Psychiatry
4 publications, 3.39%
Nature Human Behaviour
4 publications, 3.39%
Proceedings of the National Academy of Sciences of the United States of America
4 publications, 3.39%
Behavior Genetics
4 publications, 3.39%
bioRxiv
3 publications, 2.54%
PLoS ONE
3 publications, 2.54%
BMC Medicine
2 publications, 1.69%
Journal of Health Economics
2 publications, 1.69%
Journal of Economic Psychology
2 publications, 1.69%
Hastings Center Report
2 publications, 1.69%
Science
2 publications, 1.69%
Political Psychology
2 publications, 1.69%
medRxiv : the preprint server for health sciences
2 publications, 1.69%
Demography
2 publications, 1.69%
Postdigital Science and Education
2 publications, 1.69%
Biological Psychiatry Global Open Science
2 publications, 1.69%
SSRN Electronic Journal
2 publications, 1.69%
Journal of Political Economy Microeconomics
2 publications, 1.69%
Political Behavior
2 publications, 1.69%
PLoS Genetics
1 publication, 0.85%
Frontiers in Genetics
1 publication, 0.85%
Human Genomics
1 publication, 0.85%
Journal of Political Economy
1 publication, 0.85%
npj Science of Learning
1 publication, 0.85%
Development and Psychopathology
1 publication, 0.85%
Journal of Child Psychology and Psychiatry and Allied Disciplines
1 publication, 0.85%
Evolution; international journal of organic evolution
1 publication, 0.85%
Journal of the Royal Society of New Zealand
1 publication, 0.85%
1
2
3
4

Publishers

5
10
15
20
25
30
35
Springer Nature
32 publications, 27.12%
Elsevier
20 publications, 16.95%
Cold Spring Harbor Laboratory
19 publications, 16.1%
Wiley
10 publications, 8.47%
Public Library of Science (PLoS)
4 publications, 3.39%
University of Chicago Press
4 publications, 3.39%
Cambridge University Press
4 publications, 3.39%
Taylor & Francis
4 publications, 3.39%
Proceedings of the National Academy of Sciences (PNAS)
4 publications, 3.39%
SAGE
3 publications, 2.54%
American Association for the Advancement of Science (AAAS)
2 publications, 1.69%
Frontiers Media S.A.
1 publication, 0.85%
MDPI
1 publication, 0.85%
Duke University Press
1 publication, 0.85%
Emerald
1 publication, 0.85%
Bristol University Press
1 publication, 0.85%
Oxford University Press
1 publication, 0.85%
Annual Reviews
1 publication, 0.85%
MIT Press
1 publication, 0.85%
5
10
15
20
25
30
35
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
118
Share
Cite this
GOST |
Cite this
GOST Copy
Becker J. et al. Resource profile and user guide of the Polygenic Index Repository // Nature Human Behaviour. 2021. Vol. 5. No. 12. pp. 1744-1758.
GOST all authors (up to 50) Copy
Becker J. et al. Resource profile and user guide of the Polygenic Index Repository // Nature Human Behaviour. 2021. Vol. 5. No. 12. pp. 1744-1758.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1038/s41562-021-01119-3
UR - https://doi.org/10.1038/s41562-021-01119-3
TI - Resource profile and user guide of the Polygenic Index Repository
T2 - Nature Human Behaviour
AU - Becker, Joel
AU - Burik, Casper A P
AU - Goldman, Grant
AU - Wang, Nancy
AU - Jayashankar, Hariharan
AU - Bennett, Michael
AU - Belsky, Daniel W.
AU - Karlsson, Robert
AU - Ahlskog, Rafael
AU - Kleinman, Aaron
AU - Hinds, David A.
AU - Agee, Michelle
AU - ALIPANAHI, BABAK
AU - Auton, Adam
AU - Bell, Robert K.
AU - Bryc, Katarzyna
AU - Elson, Sarah L.
AU - Fontanillas, Pierre
AU - Furlotte, Nicholas A
AU - Huber, Karen E.
AU - Litterman, Nadia K.
AU - McCreight, Jennifer C.
AU - McIntyre, Matthew H.
AU - Mountain, Joanna L.
AU - Northover, Carrie A. M.
AU - Pitts, Steven J.
AU - Sathirapongsasuti, J. Fah
AU - Sazonova, Olga V
AU - Shelton, Janie F.
AU - Shringarpure, Suyash
AU - Tian, Chao
AU - Tung, Joyce Y.
AU - Vacic, Vladimir
AU - Wilson, Catherine H.
AU - Caspi, Avshalom
AU - Corcoran, David L.
AU - Moffitt, Terrie E.
AU - Poulton, Richie
AU - Sugden, Karen
AU - Williams, Benjamin S.
AU - Harris, Kathleen Mullan
AU - Steptoe, Andrew
PY - 2021
DA - 2021/06/17
PB - Springer Nature
SP - 1744-1758
IS - 12
VL - 5
PMID - 34140656
SN - 2397-3374
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2021_Becker,
author = {Joel Becker and Casper A P Burik and Grant Goldman and Nancy Wang and Hariharan Jayashankar and Michael Bennett and Daniel W. Belsky and Robert Karlsson and Rafael Ahlskog and Aaron Kleinman and David A. Hinds and Michelle Agee and BABAK ALIPANAHI and Adam Auton and Robert K. Bell and Katarzyna Bryc and Sarah L. Elson and Pierre Fontanillas and Nicholas A Furlotte and Karen E. Huber and Nadia K. Litterman and Jennifer C. McCreight and Matthew H. McIntyre and Joanna L. Mountain and Carrie A. M. Northover and Steven J. Pitts and J. Fah Sathirapongsasuti and Olga V Sazonova and Janie F. Shelton and Suyash Shringarpure and Chao Tian and Joyce Y. Tung and Vladimir Vacic and Catherine H. Wilson and Avshalom Caspi and David L. Corcoran and Terrie E. Moffitt and Richie Poulton and Karen Sugden and Benjamin S. Williams and Kathleen Mullan Harris and Andrew Steptoe and others},
title = {Resource profile and user guide of the Polygenic Index Repository},
journal = {Nature Human Behaviour},
year = {2021},
volume = {5},
publisher = {Springer Nature},
month = {jun},
url = {https://doi.org/10.1038/s41562-021-01119-3},
number = {12},
pages = {1744--1758},
doi = {10.1038/s41562-021-01119-3}
}
MLA
Cite this
MLA Copy
Becker, Joel, et al. “Resource profile and user guide of the Polygenic Index Repository.” Nature Human Behaviour, vol. 5, no. 12, Jun. 2021, pp. 1744-1758. https://doi.org/10.1038/s41562-021-01119-3.