Your browser doesn't support javascript.
loading
Whole-genome sequencing across 449 samples spanning 47 ethnolinguistic groups provides insights into genetic diversity in Nigeria.
Joshi, Esha; Biddanda, Arjun; Popoola, Jumi; Yakubu, Aminu; Osakwe, Oluyemisi; Attipoe, Delali; Dogbo, Estelle; Salako, Babatunde; Nash, Oyekanmi; Salako, Omolola; Oyedele, Olubukunola; Eze-Echesi, Golibe; Fatumo, Segun; Ene-Obong, Abasi; O'Dushlaine, Colm.
Afiliação
  • Joshi E; 54gene, Inc., 1100 15th St. NW, Washington, DC 20005, USA.
  • Biddanda A; 54gene, Inc., 1100 15th St. NW, Washington, DC 20005, USA.
  • Popoola J; 54gene, Inc., 1100 15th St. NW, Washington, DC 20005, USA.
  • Yakubu A; 54gene, Inc., 1100 15th St. NW, Washington, DC 20005, USA.
  • Osakwe O; 54gene, Inc., 1100 15th St. NW, Washington, DC 20005, USA.
  • Attipoe D; 54gene, Inc., 1100 15th St. NW, Washington, DC 20005, USA.
  • Dogbo E; 54gene, Inc., 1100 15th St. NW, Washington, DC 20005, USA.
  • Salako B; Nigerian Institute of Medical Research, Lagos 101245, Nigeria.
  • Nash O; Center for Genomics Research and Innovation, National Agency for Biotechnology Development, Abuja 09004, Nigeria.
  • Salako O; H3Africa Bioinformatics Network (H3ABioNet) Node, Centre for Genomics Research and Innovation, NABDA/FMST, Abuja 09004, Nigeria.
  • Oyedele O; College of Medicine University of Lagos, Lagos 101233, Nigeria.
  • Eze-Echesi G; 54gene, Inc., 1100 15th St. NW, Washington, DC 20005, USA.
  • Fatumo S; 54gene, Inc., 1100 15th St. NW, Washington, DC 20005, USA.
  • Ene-Obong A; H3Africa Bioinformatics Network (H3ABioNet) Node, Centre for Genomics Research and Innovation, NABDA/FMST, Abuja 09004, Nigeria.
  • O'Dushlaine C; The African Computational Genomics (TAGC) Research Group, MRC/UVRI and London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.
Cell Genom ; 3(9): 100378, 2023 Sep 13.
Article em En | MEDLINE | ID: mdl-37719143
ABSTRACT
African populations have been drastically underrepresented in genomics research, and failure to capture the genetic diversity across the numerous ethnolinguistic groups (ELGs) found on the continent has hindered the equity of precision medicine initiatives globally. Here, we describe the whole-genome sequencing of 449 Nigerian individuals across 47 unique self-reported ELGs. Population structure analysis reveals genetic differentiation among our ELGs, consistent with previous findings. From the 36 million SNPs and insertions or deletions (indels) discovered in our dataset, we provide a high-level catalog of both novel and medically relevant variation present across the ELGs. These results emphasize the value of this resource for genomics research, with added granularity by representing multiple ELGs from Nigeria. Our results also underscore the potential of using these cohorts with larger sample sizes to improve our understanding of human ancestry and health in Africa.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article