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Integrative analysis of metabolite GWAS illuminates the molecular basis of pleiotropy and genetic correlation
View ORCID ProfileCourtney J. Smith, View ORCID ProfileNasa Sinnott-Armstrong, View ORCID ProfileAnna Cichońska, View ORCID ProfileHeli Julkunen, View ORCID ProfileEric Fauman, View ORCID ProfilePeter Würtz, View ORCID ProfileJonathan K. Pritchard
doi: https://doi.org/10.1101/2022.04.02.486791
Courtney J. Smith
1Department of Genetics, Stanford University School of Medicine, United States
Nasa Sinnott-Armstrong
1Department of Genetics, Stanford University School of Medicine, United States
2Herbold Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, Washington
Anna Cichońska
3Nightingale Health Plc, Helsinki, Finland
Heli Julkunen
3Nightingale Health Plc, Helsinki, Finland
Eric Fauman
4Internal Medicine Research Unit, Pfizer Worldwide Research, Development and Medical, United States
Peter Würtz
3Nightingale Health Plc, Helsinki, Finland
Jonathan K. Pritchard
1Department of Genetics, Stanford University School of Medicine, United States
5Department of Biology, Stanford University, United States Joint First Authors

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Posted April 04, 2022.
Integrative analysis of metabolite GWAS illuminates the molecular basis of pleiotropy and genetic correlation
Courtney J. Smith, Nasa Sinnott-Armstrong, Anna Cichońska, Heli Julkunen, Eric Fauman, Peter Würtz, Jonathan K. Pritchard
bioRxiv 2022.04.02.486791; doi: https://doi.org/10.1101/2022.04.02.486791
Integrative analysis of metabolite GWAS illuminates the molecular basis of pleiotropy and genetic correlation
Courtney J. Smith, Nasa Sinnott-Armstrong, Anna Cichońska, Heli Julkunen, Eric Fauman, Peter Würtz, Jonathan K. Pritchard
bioRxiv 2022.04.02.486791; doi: https://doi.org/10.1101/2022.04.02.486791
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