MDPI and ACS Style
Udosen, B.; Soremekun, O.; Kamiza, A.; Machipisa, T.; Cheickna, C.; Omotuyi, O.; Soliman, M.; Wélé, M.; Nashiru, O.; Chikowore, T.;
et al. Meta-Analysis and Multivariate GWAS Analyses in 80,950 Individuals of African Ancestry Identify Novel Variants Associated with Blood Pressure Traits. Int. J. Mol. Sci. 2023, 24, 2164.
https://doi.org/10.3390/ijms24032164
AMA Style
Udosen B, Soremekun O, Kamiza A, Machipisa T, Cheickna C, Omotuyi O, Soliman M, Wélé M, Nashiru O, Chikowore T,
et al. Meta-Analysis and Multivariate GWAS Analyses in 80,950 Individuals of African Ancestry Identify Novel Variants Associated with Blood Pressure Traits. International Journal of Molecular Sciences. 2023; 24(3):2164.
https://doi.org/10.3390/ijms24032164
Chicago/Turabian Style
Udosen, Brenda, Opeyemi Soremekun, Abram Kamiza, Tafadzwa Machipisa, Cisse Cheickna, Olaposi Omotuyi, Mahmoud Soliman, Mamadou Wélé, Oyekanmi Nashiru, Tinashe Chikowore,
and et al. 2023. "Meta-Analysis and Multivariate GWAS Analyses in 80,950 Individuals of African Ancestry Identify Novel Variants Associated with Blood Pressure Traits" International Journal of Molecular Sciences 24, no. 3: 2164.
https://doi.org/10.3390/ijms24032164