ArticleFrontiers in genetics2019
Complimentary Methods for Multivariate Genome-Wide Association Study Identify New Susceptibility Genes for Blood Cell Traits.
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- 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 · 2023Pooled it
- Article
- Multivariate GWAS analysis reveals loci associated with liver functions in continental African populations.PloS one · 2023Article
- Bridging the genomic data gap in Africa: implications for global disease burdens.Globalization and health · 2022Review
- Uganda Genome Resource: A rich research database for genomic studies of communicable and non-communicable diseases in Africa.Cell genomics · 2022Review
- Article
- The flashfm approach for fine-mapping multiple quantitative traits.Nature communications · 2021Article
- Multi-phenotype genome-wide association studies of the Norfolk Island isolate implicate pleiotropic loci involved in chronic kidney disease.Scientific reports · 2021Article
- Discovery and fine-mapping of kidney function loci in first genome-wide association study in Africans.Human molecular genetics · 2021Article
- Article
- An atlas connecting shared genetic architecture of human diseases and molecular phenotypes provides insight into COVID-19 susceptibility.Genome medicine · 2021Article
- Whole-genome sequencing association analysis of quantitative red blood cell phenotypes: The NHLBI TOPMed program.American journal of human genetics · 2021Article
- An atlas connecting shared genetic architecture of human diseases and molecular phenotypes provides insight into COVID-19 susceptibility.medRxiv : the preprint server for health sciences · 2020Article
- Studies of human twins reveal genetic variation that affects dietary fat perception.Chemical senses · 2020Article
- The opportunity in African genome resource for precision medicine.EBioMedicine · 2020Article
- MetaPhat: Detecting and Decomposing Multivariate Associations From Univariate Genome-Wide Association Statistics.Frontiers in genetics · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Genome-wide association studies (GWAS) have found hundreds of novel loci associated with full blood count (FBC) phenotypes. However, most of these studies were performed in a single phenotype framework without putting into consideration the clinical relatedness among traits. In this work, in addition to the standard univariate GWAS, we also use two different multivariate methods to perform the first multiple traits GWAS of FBC traits in ∼7000 individuals from the Ugandan General Population Cohort (GPC). We started by performing the standard univariate GWAS approach. We then performed our first multivariate method, in this approach, we tested for marker associations with 15 FBC traits simultaneously in a multivariate mixed model implemented in GEMMA while accounting for the relatedness of individuals and pedigree structures, as well as population substructure. In this analysis, we provide a framework for the combination of multiple phenotypes in multivariate GWAS analysis and show evidence of multi-collinearity whenever the correlation between traits exceeds the correlation coefficient threshold of
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