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International Journal of Molecular Sciences
  • Correction
  • Open Access

7 April 2024

Correction: Udosen 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

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1
The African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM, Entebbe 7545, Uganda
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The African Center of Excellence in Bioinformatics of Bamako (ACE-B), University of Sciences, Techniques and Technologies of Bamako, Bamako 3206, Mali
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H3Africa Bioinformatics Network (H3ABioNet) Node, Centre for Genomics Research and Innovation, NABDA/FMST, Abuja 901101, Nigeria
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Molecular Bio-Computation and Drug Design Laboratory, School of Health Sciences, Westville Campus, University of KwaZulu-Natal, Durban 4001, South Africa
This article belongs to the Special Issue New Advances in Metabolic Syndrome
In the original publication [1], the funding from United States’ Veteran Health Administration with grant numbers 5I01BX003360 and 1I01CX001897 awarded to Adriana M. Hung was not included. There was an error in the sample size stated in Figure 1 for the Million Veteran Program cohort. The sample size listed is 56,833 but the correct sample size is 59,933. The total sample size of the meta-analysis consequently increases to 80,950. Thus, all instances of the number 77,850 in the title, abstract, text, Table 1 and Figure 1 should be 80,950. The corrected Figure 1 and Table 1 appear below. The authors state that the scientific conclusions are unaffected. In the Acknowledgments, the authors would like to add an acknowledgment of the contributions of Jacklyn N. Hellwege, Ayush Giri, Adriana M. Hung and Todd L. Edwards of the Nashville VA and Vanderbilt University Medical Centers for leading the effort that generated the GWAS summary statistics of blood pressure in the Million Veteran Program included in this report. This correction was approved by the Academic Editor. The original publication has also been updated.
Figure 1. Study design schematic for discovery and validation of loci. APCDR; African Partnership for Control of Disease Research, UKB; United Kingdom Biobank, MVP; Million Veteran Program.
Table 1. Description of cohorts used in this study.

Reference

  1. 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. [Google Scholar] [CrossRef] [PubMed]
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