Multivariate GWAS analysis reveals loci associated with liver functions in continental African populations. S1 File
Soremekun, C, Machipisa, T, Soremekun, O, Pirie, F, Oyekanmi, N
, Motala, AA, Chikowore, T and Fatumo, S
(2023).
Multivariate GWAS analysis reveals loci associated with liver functions in continental African populations. S1 File.
[Dataset].
PLOS ONE.
https://doi.org/10.1371/journal.pone.0280344.s001
The study sought to identify genetic loci associated with liver biomarker levels with a shared genetic basis, using a multivariate genome-wide association study (GWAS) approach. The dataset contains the results of a joint analysis from two genetically distinct African populations, the Ugandan Genome Resource (UGR = 6,407) and South African Zulu cohort (SZC = 2,598).
Keywords
Genome-wide association Study, Biomarkers, Liver diseases, Single nucleotide polymorphisms, Bilirubin, Genetic loci, Fatty liver, Genetics of diseaseItem Type | Dataset |
---|---|
Capture method | Experiment |
Date | 21 February 2023 |
Geographical area covered (offline during plugin upgrade) |
North Latitude East Longitude South Latitude West Longitude 3.25839 34.2802 -0.607024 30.6767 -26.6421 31.8193 -34.3566 20.2177 |
Language(s) of written materials | English |
Creator(s) |
Soremekun, C, Machipisa, T, Soremekun, O, Pirie, F, Oyekanmi, N |
LSHTM Faculty/Department |
Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology MRC/UVRI and LSHTM Uganda Research Unit |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda |
Funders |
Project Funder Grant Number Funder URI |
Date Deposited | 02 Mar 2023 16:51 |
Last Modified | 02 Mar 2023 17:01 |
Publisher | PLOS ONE |
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- Data record – Figshare (Data)
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- Data record – Figshare (Data)
- Data download – Figshare (Online Data Resource)
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ORCID: https://orcid.org/0000-0002-0796-7834
ORCID: https://orcid.org/0000-0003-4525-3362