TidyGWAS: a scalable approach for standardized cleaning of genome-wide association study summary statistics

Authors

Arvid Harder (ORCID: https://orcid.org/0000-0002-5984-9207)
Jerry Guintivano (ORCID: https://orcid.org/0000-0003-3541-1101)
Patrick F. Sullivan (ORCID: https://orcid.org/0000-0002-6619-873X)
Joëlle A. Pasman (ORCID: https://orcid.org/0000-0001-7558-0482)
Yi Lü (ORCID: https://orcid.org/0000-0001-7832-3019)

Institutions

University of North Carolina at Chapel Hill (US)
Karolinska Institutet (SE)
Amsterdam Neuroscience (NL)
Amsterdam University Medical Centers (NL)
University of Amsterdam (NL)

Publication Details

Journal: Bioinformatics Advances
Published: 2024-12-26
DOI: https://doi.org/10.1093/bioadv/vbaf262
Citations: 1
Primary Topic: Genetic Associations and Epidemiology
Type: article
Field-Weighted Citation Impact: 0.55

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article

TidyGWAS: a scalable approach for standardized cleaning of genome-wide association study summary statistics

Arvid Harder, Jerry Guintivano, Patrick F. Sullivan, Joëlle A. Pasman et al.

Dec 26, 2024

1 citations

Bioinformatics Advances

Genetic Associations and Epidemiology

0.55

article

TidyGWAS: a scalable approach for standardized cleaning of genome-wide association study summary statistics

Arvid Harder, Jerry Guintivano, Patrick F. Sullivan, Joëlle A. Pasman, Yi Lü

December 26, 2024article en

1 citations

Abstract

No abstract available for this paper.

Bioinformatics AdvancesVol. 5(1)

University of North Carolina at Chapel Hill (US), Karolinska Institutet (SE), Amsterdam Neuroscience (NL), Amsterdam University Medical Centers (NL), University of Amsterdam (NL)

Openalex Percentile: Top 23%

Genetic Associations and Epidemiology

0.55

DOI Open Access PDF OpenAlex

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