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Diving into the abyss of undiscovered kidney function-related factors.
Limou, Sophie; Parsa, Afshin.
Affiliation
  • Limou S; Molecular Genetic Epidemiology Section, Basic Research Laboratory, Basic Science Program, Leidos Biomedical Research, Inc., National Cancer Institute, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA.
  • Parsa A; Division of Nephrology, University of Maryland School of Medicine, Baltimore, Maryland, USA; Department of Medicine, Baltimore VA Medical Center, Baltimore, Maryland, USA. Electronic address: aparsa@medicine.umaryland.edu.
Kidney Int ; 90(4): 724-6, 2016 10.
Article in En | MEDLINE | ID: mdl-27633863
Meta-analyses and reintroduction of biological knowledge are 2 classic strategies to increase genomewide association study statistical power and overcome the burden of multiple testing. These strategies have empowered the nephrology community to discover new signals associated with kidney function and nephropathies. Here we discuss the current genomewide association study limitations and strategies to dive further into the abyss of yet-to-be discovered kidney function-related factors.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Kidney Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: Kidney Int Year: 2016 Type: Article Affiliation country: United States
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Kidney Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: Kidney Int Year: 2016 Type: Article Affiliation country: United States