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Ghazal Zaboli

Researcher at Uppsala University

Publications -  19
Citations -  3272

Ghazal Zaboli is an academic researcher from Uppsala University. The author has contributed to research in topics: Population & Genome-wide association study. The author has an hindex of 18, co-authored 19 publications receiving 3044 citations. Previous affiliations of Ghazal Zaboli include Karolinska University Hospital & Karolinska Institutet.

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New loci associated with kidney function and chronic kidney disease

Anna Köttgen, +137 more
- 01 May 2010 - 
TL;DR: The CKDGen consortium performed a meta-analysis of genome-wide association data in 67,093 individuals of European ancestry to identify new susceptibility loci for reduced renal function as estimated by serum creatinine, serum cystatin c and CKD.
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Genome-wide association study identifies five loci associated with lung function.

Emmanouela Repapi, +109 more
- 01 Jan 2010 - 
TL;DR: Genome-wide association with forced expiratory volume in 1 s (FEV1) and the ratio of FEV1 to forced vital capacity (FVC) in the SpiroMeta consortium offers mechanistic insight into pulmonary function regulation and indicate potential targets for interventions to alleviate respiratory disease.
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A Comprehensive Evaluation of Potential Lung Function Associated Genes in the SpiroMeta General Population Sample

Ma'en Obeidat, +76 more
- 20 May 2011 - 
TL;DR: Polymorphisms spanning previously associated lung function genes did not show strong evidence for association with lung function measures in the SpiroMeta consortium population of 20,288 individuals from the general population.
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Meta-analysis identifies multiple loci associated with kidney function–related traits in east Asian populations

Yukinori Okada, +414 more
- 01 Aug 2012 - 
TL;DR: A meta-analysis of genome-wide association studies for kidney function–related traits, including 71,149 east Asian individuals from 18 studies in 11 population-, hospital- or family-based cohorts, conducted as part of the Asian Genetic Epidemiology Network (AGEN), identified 17 loci newly associated with kidney function-related traits.