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Suying Bao

As seen in: Nature, BioRxiv, Cell Press, Texas Medical Center
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Articles

Author Correction: A deep catalogue of protein-coding variation in 983,578 individuals - Nature

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By Kathie Y Sun, Suying Bao, Manav Kapoor, Joshua Backman, Adam E. Locke, Liron Ganel, Veera M. Rajagopal, Jesus Alegre-Díaz, Jaime Berumen, Roberto Tapia-Conyer, Pablo Kuri-Morales, Jason Torres, Jonathan Emberson, Michael Cantor, Timothy Thornton, Alan R. Shuldiner, Aris Baras, Goncalo Abecasis, Jonathan Marchini, Jeffrey Reid, William Salerno
| Nature Verified
Correction to: Nature https://doi.org/10.1038/s41586-024-07556-0 Published online 20 May 2024 Since the version of the article initially published, in the Data availability section, the sentence “Regeneron can make GHS individual-level genomic data available to qualified academic noncommercial researchers through the Regeneron pre-clinical Research portal at https://regeneron.envisionpharma.com/vt_regeneron/ under a data access agreement” has been updated in the HTML and PDF versions of the...
Open in Who Shared View Duplicates (3) Issue with article?

A Deep Catalogue of Protein-Coding Variation in 983,578 Individuals

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By Kathie Y Sun, Xiaodong Bai, Siying Chen, Suying Bao
| Texas Medical Center
Abstract Rare coding variants that substantially affect function provide insights into the biology of a gene1-3. However, ascertaining the frequency of such variants requires large sample sizes4-8. Here we present a catalogue of human protein-coding variation, derived from exome sequencing of 983,578 individuals across diverse populations.
Open in Who Shared Issue with article?

A deep catalogue of protein-coding variation in 983,578 individuals - Nature

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By Kathie Y Sun, Suying Bao, Manav Kapoor, Joshua Backman, Adam E. Locke, Veera M. Rajagopal, Jesús Manuel Alegre, Jaime Berumen, Roberto Tapia-Conyer, Pablo Kuri-Morales, Jason Torres, Jonathan Emberson, Michael Cantor, Timothy Thornton, Alan R. Shuldiner, Aris Baras, Goncalo Abecasis, Jonathan Marchini, Jeffrey Reid, Liron Ganel, William Salerno
| Nature Verified
Abstract Rare coding variants that significantly impact function provide insights into the biology of a gene1-3. However, ascertaining their frequency requires large sample sizes4-8. Here, we present a catalogue of human protein-coding variation, derived from exome sequencing of 983,578 individuals across diverse populations.
Open in Who Shared Issue with article?
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