Optimized phenotype definitions boost GWAS power.
Saved in:
| Title: | Optimized phenotype definitions boost GWAS power. |
|---|---|
| Authors: | Zietz M; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, California, United States of America., Brown KL; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, United States of America., Gisladottir U; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, United States of America., Tatonetti NP; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, California, United States of America. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2026 Jul 01; Vol. 22 (7), pp. e1014431. Date of Electronic Publication: 2026 Jul 01 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1553-7358 |
|---|---|
| DOI: | 10.1371/journal.pcbi.1014431 |
