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Correction to Int. J. Mol. Sci. 2023, 24(3), 2164.
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Correction

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

by
Brenda Udosen
1,2,3,†,
Opeyemi Soremekun
1,4,†,
Abram Kamiza
1,5,
Tafadzwa Machipisa
6,7,
Cisse Cheickna
2,8,
Olaposi Omotuyi
9,
Mahmoud Soliman
4,
Mamadou Wélé
2,8,
Oyekanmi Nashiru
3,
Tinashe Chikowore
10,11 and
Segun Fatumo
1,3,12,*
1
The African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM, Entebbe 7545, Uganda
2
The African Center of Excellence in Bioinformatics of Bamako (ACE-B), University of Sciences, Techniques and Technologies of Bamako, Bamako 3206, Mali
3
H3Africa Bioinformatics Network (H3ABioNet) Node, Centre for Genomics Research and Innovation, NABDA/FMST, Abuja 901101, Nigeria
4
Molecular Bio-Computation and Drug Design Laboratory, School of Health Sciences, Westville Campus, University of KwaZulu-Natal, Durban 4001, South Africa
5
Malawi Epidemiology and Intervention Research Unit, Lilongwe P.O. Box 46, Malawi
6
Hatter Institute for Cardiovascular Diseases Research in Africa (HICRA), Department of Medicine, University of Cape Town, Cape Town 7701, South Africa
7
Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, ON L8L 2X2, Canada
8
Department of Biological Sciences, Faculty of Sciences and Techniques, University of Sciences, Techniques and Technologies of Bamako, Bamako 3206, Mali
9
Institute for Drug Research and Development, S.E. Bogoro Center, Afe Babalola University, Ado Ekiti 360101, Nigeria
10
Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2050, South Africa
11
MRC/Wits Developmental Pathways for Health Research Unit, Department of Pediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2050, South Africa
12
Segun Fatumo, Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
 
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*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Int. J. Mol. Sci. 2024, 25(7), 4093; https://doi.org/10.3390/ijms25074093
Submission received: 13 March 2024 / Accepted: 14 March 2024 / Published: 7 April 2024
(This article belongs to the Special Issue New Advances in Metabolic Syndrome)
Browse Figure
Versions Notes
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.

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]
Ijms 25 04093 g001
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.
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.
Ijms 25 04093 g001
Table 1. Description of cohorts used in this study.
Table 1. Description of cohorts used in this study.
CohortContinentCountrySample Size (N)PhenotypeImputation Panel and Genome Build
APCDR-UGR (27)AfricaUganda6407SBP/DBPAfrican genome panel, hg19
APCDR-DCC (27)AfricaSouth Africa1600SBP/DBPAfrican genome panel, hg19
APCDR-DDS (27)AfricaSouth Africa1165SBP/DBPAfrican genome panel, hg19
APCDR-AADM (27)AfricaNigeria, Ghana, and Kenya5231SBP/DBPAfrican genome panel, hg19
MVP-AFRN. AmericaUSA59,933SBP/DBP1k Genome, hg19
UKB-AFR (28)EuropeUK6614SBP/DBP1k Genome, hg19
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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. 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. Int. J. Mol. Sci. 2024, 25, 4093. https://doi.org/10.3390/ijms25074093

AMA Style

Udosen B, Soremekun O, Kamiza A, Machipisa T, Cheickna C, Omotuyi O, Soliman M, Wélé M, Nashiru O, Chikowore T, et al. 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. International Journal of Molecular Sciences. 2024; 25(7):4093. https://doi.org/10.3390/ijms25074093

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. 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" International Journal of Molecular Sciences 25, no. 7: 4093. https://doi.org/10.3390/ijms25074093

APA Style

Udosen, B., Soremekun, O., Kamiza, A., Machipisa, T., Cheickna, C., Omotuyi, O., Soliman, M., Wélé, M., Nashiru, O., Chikowore, T., & Fatumo, S. (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. International Journal of Molecular Sciences, 25(7), 4093. https://doi.org/10.3390/ijms25074093

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