Meta-analysis of African ancestry genome-wide association studies identified novel locus and validates multiple loci associated with kidney function
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Opeyemi S. Soremekun | Richard Mayanja | B. Bagaya | S. Fatumo | Daudi Jjingo | R. Kalyesubula | T. Chikowore | T. Machipisa | Christopher Kintu | Tafadzwa Machipisa
[1] Lina M. Sulieman,et al. The All of Us Research Program: Data quality, utility, and diversity , 2022, Patterns.
[2] Improving equity in human genomics research , 2022, Communications Biology.
[3] A. Bello,et al. Prevalence of Chronic Kidney Disease as a Marker of Hypertension Target Organ Damage in Africa: A Systematic Review and Meta-Analysis , 2021, International journal of hypertension.
[4] I. Barroso. The importance of increasing population diversity in genetic studies of type 2 diabetes and related glycaemic traits , 2021, Diabetologia.
[5] Christopher D. Brown,et al. Mapping the genetic architecture of human traits to cell types in the kidney identifies mechanisms of disease and potential treatments , 2020, bioRxiv.
[6] A. Morris,et al. Discovery and fine-mapping of kidney function loci in first genome-wide association study in Africans , 2020, bioRxiv.
[7] Lina M. Sulieman,et al. The All of Us Research Program: data quality, utility, and diversity , 2020, medRxiv.
[8] S. Fatumo. The opportunity in African genome resource for precision medicine , 2020, EBioMedicine.
[9] A. Köttgen,et al. The CKDGen Consortium: ten years of insights into the genetic basis of kidney function. , 2020, Kidney international.
[10] Max W. Y. Lam,et al. Genome-wide Association Studies in Ancestrally Diverse Populations: Opportunities, Methods, Pitfalls, and Recommendations , 2019, Cell.
[11] Mary D. Fortune,et al. Uganda Genome Resource Enables Insights into Population History and Genomic Discovery in Africa , 2019, Cell.
[12] Jacob M. Keaton,et al. Mapping eGFR loci to the renal transcriptome and phenome in the VA Million Veteran Program , 2019, Nature Communications.
[13] O. Andreassen,et al. A global overview of pleiotropy and genetic architecture in complex traits , 2019, Nature Genetics.
[14] Karsten B. Sieber,et al. A catalog of genetic loci associated with kidney function from analyses of a million individuals , 2019, Nature Genetics.
[15] A. McKnight,et al. Genetic Susceptibility to Chronic Kidney Disease – Some More Pieces for the Heritability Puzzle , 2019, Front. Genet..
[16] A. Mokdad,et al. Analysis of the Global Burden of Disease study highlights the global, regional, and national trends of chronic kidney disease epidemiology from 1990 to 2016. , 2018, Kidney international.
[17] Paul J. Hoover,et al. An eQTL landscape of kidney tissue in human nephrotic syndrome , 2018, bioRxiv.
[18] D. Posthuma,et al. Functional mapping and annotation of genetic associations with FUMA , 2017, Nature Communications.
[19] A. Hofman,et al. Meta-GWAS Accuracy and Power (MetaGAP) Calculator Shows that Hiding Heritability Is Partially Due to Imperfect Genetic Correlations across Studies , 2016, bioRxiv.
[20] Mary Brophy,et al. Million Veteran Program: A mega-biobank to study genetic influences on health and disease. , 2016, Journal of clinical epidemiology.
[21] Tom R. Gaunt,et al. Edinburgh Research Explorer Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function , 2022 .
[22] M. Udler,et al. Effect of Genetic African Ancestry on eGFR and Kidney Disease. , 2015, Journal of the American Society of Nephrology : JASN.
[23] Joris M. Mooij,et al. MAGMA: Generalized Gene-Set Analysis of GWAS Data , 2015, PLoS Comput. Biol..
[24] E. Zeggini,et al. The African Genome Variation Project shapes medical genetics in Africa , 2014, Nature.
[25] R. Kazancioglu. Risk factors for chronic kidney disease: an update , 2013, Kidney international supplements.
[26] Kai-Uwe Eckardt,et al. Evolving importance of kidney disease: from subspecialty to global health burden , 2013, The Lancet.
[27] Ellen T. Gelfand,et al. The Genotype-Tissue Expression (GTEx) project , 2013, Nature Genetics.
[28] Jake K. Byrnes,et al. Bayesian refinement of association signals for 14 loci in 3 common diseases , 2012, Nature Genetics.
[29] P. Elliott,et al. UK Biobank: Current status and what it means for epidemiology , 2012 .
[30] Susan L. Furth,et al. Improved equations estimating GFR in children with chronic kidney disease using an immunonephelometric determination of cystatin C , 2012, Kidney international.
[31] Yun Li,et al. METAL: fast and efficient meta-analysis of genomewide association scans , 2010, Bioinform..
[32] Yurii S. Aulchenko,et al. Multiple loci associated with indices of renal function and chronic kidney disease , 2009, Nature Genetics.
[33] C. Schmid,et al. A new equation to estimate glomerular filtration rate. , 2009, Annals of internal medicine.
[34] C. Schubert. The genomic basis of the Williams – Beuren syndrome , 2008, Cellular and Molecular Life Sciences.
[35] E. Vittinghoff,et al. Racial differences in the progression from chronic renal insufficiency to end-stage renal disease in the United States. , 2003, Journal of the American Society of Nephrology : JASN.
[36] Dean Y. Li,et al. New insights into elastin and vascular disease. , 2003, Trends in cardiovascular medicine.
[37] Dan J Stein,et al. H3Africa: current perspectives , 2018 .
[38] K. Johnson. An Update. , 1984, Journal of food protection.