Beyond predictive R2: Quantile regression and non-equivalence tests reveal complex relationships of traits and polygenic scores.

Saved in:
Bibliographic Details
Title: Beyond predictive R2: Quantile regression and non-equivalence tests reveal complex relationships of traits and polygenic scores.
Authors: Mefford J; Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA. Electronic address: jmefford@mednet.ucla.edu., Smullen M; Chan Medical School, University of Massachusetts, Worcester, MA, USA., Zhang F; Department of Computer Science, University of California, Los Angeles, Los Angeles, CA, USA., Sadowski M; Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA., Border R; Department of Computer Science, University of California, Los Angeles, Los Angeles, CA, USA; Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA; Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA., Dahl A; Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA., Flint J; Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA., Zaitlen N; Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA; Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Source: American journal of human genetics [Am J Hum Genet] 2025 Jun 05; Vol. 112 (6), pp. 1363-1375.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Cell Press Country of Publication: United States NLM ID: 0370475 Publication Model: Print Cited Medium: Internet ISSN: 1537-6605 (Electronic) Linking ISSN: 00029297 NLM ISO Abbreviation: Am J Hum Genet Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1537-6605
DOI:10.1016/j.ajhg.2025.04.013