APA (7th ed.) Citation

Kowalski, M. H., Qian, H., Hou, Z., Rosen, J. D., Tapia, A. L., Shan, Y., . . . Li, Y. (2019). Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations. Public Library of Science (PLoS).

Chicago Style (17th ed.) Citation

Kowalski, Madeline H., et al. Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium Whole Genome Sequences Improves Imputation Quality and Detection of Rare Variant Associations in Admixed African and Hispanic/Latino Populations. Public Library of Science (PLoS), 2019.

MLA (9th ed.) Citation

Kowalski, Madeline H., et al. Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium Whole Genome Sequences Improves Imputation Quality and Detection of Rare Variant Associations in Admixed African and Hispanic/Latino Populations. Public Library of Science (PLoS), 2019.