-
Loading metrics
Identifying causal variants by fine mapping across multiple studies
-
Nathan LaPierre ,
Contributed equally to this work with: Nathan LaPierre, Kodi Taraszka
Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing
Affiliation Department of Computer Science, University of California, Los Angeles, California, United States
⨯ -
Kodi Taraszka ,
Contributed equally to this work with: Nathan LaPierre, Kodi Taraszka
Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing
Affiliation Department of Computer Science, University of California, Los Angeles, California, United States
⨯ -
Helen Huang,
Roles Formal analysis, Software, Visualization, Writing – original draft
Affiliation Bioinformatics Interdepartmental Program, University of California, Los Angeles, California, United States
⨯ -
Rosemary He,
Roles Formal analysis, Software
Affiliation Department of Mathematics, University of California, Los Angeles, California, United States
⨯ - Farhad Hormozdiari,
-
Eleazar Eskin
Roles Conceptualization, Funding acquisition, Investigation, Methodology, Supervision, Visualization, Writing – original draft, Writing – review & editing
* E-mail: eeskin@cs.ucla.edu
Affiliations Department of Computer Science, University of California, Los Angeles, California, United States, Department of Human Genetics, University of California, Los Angeles, California, United States, Department of Computational Medicine, University of California, Los Angeles, California, United States
⨯
https://orcid.org/0000-0003-2394-8868
Identifying causal variants by fine mapping across multiple studies
- Nathan LaPierre,
- Kodi Taraszka,
- Helen Huang,
- Rosemary He,
- Farhad Hormozdiari,
- Eleazar Eskin
-
- Published: September 20, 2021
- https://doi.org/10.1371/journal.pgen.1009733