Citations 3
Development and Validation of a Modified Full Age Spectrum Creatinine-Based Equation to Estimate Glomerular Filtration Rate
Pottel, Hans , Björk, Jonas , Courbebaisse, Marie , Couzi, Lionel , Ebert, Natalie , Eriksen, Björn O. , Dalton, R. Neil, Dubourg, Laurence , Gaillard, F. , Garrouste, Cyril , Grubb, Anders , Jacquemont, Lola, Hansson, Magnus , Lamb, Edmund J. , Legendre, Christophe , Littmann, Karin , Mariat, Christophe , Melsom, Toralf , Schäeffner, Elke , Sundin, Per‐Ola , Berg, Ulla, Åsling‐Monemi, Kajsa, Selistre, Luciano da Silva , Åkesson, Anna , Delanaye, Pierre , Gaillard, Francois , Kamar, Nassim , Rule, Andrew D , Schaeffner, Elke , Sundin, Per-Ola , Turner, Stephen , Bökenkamp, Arend , Selistre, Luciano , Larsson, Anders , Nyman, Ulf , Eriksen, Bjørn Odvar , Grubb, Anders , Delanaye, Pierre , Ebert, Natalie , Björk, Jonas , Rostaing, Lionel , Rule, Andrew D. , Turner, Stephen T. , Bökenkamp, Arend
Annals of Internal Medicine | November 9, 2020 | Volume: 174 | Issue: 2 | Pages: 183-191
Prospects for improved glomerular filtration rate estimation based on creatinine—results from a transnational multicentre study
Björk, Jonas , Courbebaisse, Marie , Couzi, Lionel , Dalton, R. Neil, Dubourg, Laurence , Ebert, Natalie , Gaillard, F. , Grubb, Anders , Hansson, Magnus , Jacquemont, Lola, Lamb, Edmund J. , Legendre, Christophe , Littmann, Karin , Mariat, Christophe , Melsom, Toralf , Schäeffner, Elke , Sundin, Per‐Ola , Åkesson, Anna , Delanaye, Pierre , Pottel, Hans , Gaillard, Francois , Rostaing, Lionel , Sundin, Per-Ola , Turner, Stephen , Delanaye, Pierre , Grubb, Anders , Schaeffner, Elke , Ebert, Natalie , Björk, Jonas , Nyman, Ulf , Eriksen, Björn O. , Garrouste, Cyril , Jones, Ian Lloyd , Kamar, Nassim , Rule, Andrew D. , Turner, Stephen T.
Clinical Kidney Journal | March 6, 2020 | Volume: 13 | Issue: 4 | Pages: 674-683
Abstract Background The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine equation is routinely used to assess renal function but exhibits varying accuracy depending on patient characteristics and clinical presentation. The overall aim of the present study was to assess if and to what extent glomerular filtration rate (GFR) estimation based on creatinine can be improved. Methods In a cross-sectional analysis covering the years 2003–17, CKD-EPI was validated against measured GFR (mGFR; using various tracer methods) in patients with high likelihood of chronic kidney disease (CKD; five CKD cohorts, n = 8365) and in patients with low likelihood of CKD (six community cohorts, n = 6759). Comparisons were made with the Lund–Malmö revised equation (LMR) and the Full Age Spectrum equation. Results 7In patients aged 18–39 years old, CKD-EPI overestimated GFR with 5.0–16 mL/min/1.73 m2 in median in both cohort types at mGFR levels <120 mL/min/1.73 m2. LMR had greater accuracy than CKD-EPI in the CKD cohorts (P30, the percentage of estimated GFR within 30% of mGFR, 83.5% versus 76.6%). CKD-EPI was generally the most accurate equation in the community cohorts, but all three equations reached P30 above the Kidney Disease Outcomes Quality Initiative benchmark of 90%. Conclusions None of the evaluated equations made optimal use of available data. Prospects for improved GFR estimation procedures based on creatinine exist, particularly in young adults and in settings where patients with suspected or manifest CKD are investigated.
Quality Control Procedures for Genome‐Wide Association Studies
Turner, Stephen , Armstrong, Loren L., Bradford, Yuki, Carlson, Christopher S. , Crawford, Dana C. , Crenshaw, Andrew, Doheny, Kimberly F. , Haines, Jonathan L. , Hayes, Geoffrey, Jarvik, Gail P. , Jiang, Lan , Li, Rongling, Manolio, Teri A. , Matsumoto, Martha, McCarty, Catherine A. , McDavid, Andrew , Mirel, Daniel B., Paschall, Justin, Pugh, Elizabeth, Rasmussen, Luke V. , Wilke, Russell A. , Zuvich, Rebecca L., Ritchie, Marylyn D. , Andrade, Mariza de , Kullo, Iftikhar J. , Ling, Hua , Jarvik, Gail P , Rasmussen, Luke V
Current Protocols in Human Genetics | January 13, 2011 | Volume: 68 | Issue: 1 | Pages: No page available
AbstractGenome‐wide association studies (GWAS) are being conducted at an unprecedented rate in population‐based cohorts and have increased our understanding of the pathophysiology of complex disease. Regardless of context, the practical utility of this information will ultimately depend upon the quality of the original data. Quality control (QC) procedures for GWAS are computationally intensive, operationally challenging, and constantly evolving. Here we enumerate some of the challenges in QC of GWAS data and describe the approaches that the electronic MEdical Records and Genomics (eMERGE) network is using for quality assurance in GWAS data, thereby minimizing potential bias and error in GWAS results. We discuss common issues associated with QC of GWAS data, including data file formats, software packages for data manipulation and analysis, sex chromosome anomalies, sample identity, sample relatedness, population substructure, batch effects, and marker quality. We propose best practices and discuss areas of ongoing and future research. Curr. Protoc. Hum. Genet. 68:1.19.1‐1.19.18 © 2011 by John Wiley & Sons, Inc.