Investigation of known estimated glomerular filtration rate loci in patients with Type 2 diabetes. Issue 10 (14th May 2013)

• Record Type: Journal Article
• Authors: Deshmukh, H. A.; Palmer, C. N. A.; Morris, A. D.; Colhoun, H. M.
• Is Part Of: Diabetic medicine. Volume 30:Issue 10(2013:Oct.)
• Page Start: 1230
• Page End: 1235
• Publication Date: 2013-05-14
• Subjects: Diabetes -- Periodicals; 616.462
• DOI: 10.1111/dme.12211
• Languages: English
• ISSNs: 0742-3071

Abstract

<abstract abstract-type="main" xml:lang="en" id="dme12211-abs-0001"> <title>Abstract</title> <sec id="dme12211-sec-0001" sec-type="section"> <title>Aims</title> <p>To replicate the association of genetic variants with estimated glomerular filtration rate (GFR) and albuminuria, which has been found in recent genome‐wide studies in patients with Type 2 diabetes.</p> </sec> <sec id="dme12211-sec-0002" sec-type="section"> <title>Methods</title> <p>We evaluated 16 candidate single nucleotide polymorphisms for estimated GFR in 3028 patients with Type 2 diabetes sampled from clinics across Tayside, Scotland, UK, who were included in the Genetics of Diabetes Audit and Research Tayside (GoDARTs) study. These single nucleotide polymorphisms were tested for their association with estimated GFR at entry to the study, with albuminuria, and with time to stage 3B chronic kidney disease (estimated GFR<45 ml/min/1.73 m<sup>2</sup>). We also stratified the effects on estimated GFR in patients with (<italic>n </italic>=<italic> </italic>2096) and without albuminuria (<italic>n </italic>=<italic> </italic>613).</p> </sec> <sec id="dme12211-sec-0003" sec-type="section"> <title>Results</title> <p>rs1260326 in <italic>GCKR</italic> (β=1.30, <italic>P </italic>=<italic> </italic>3.23E‐03), rs17319721 in <italic>SHROOM3</italic> (β = −1.28, <italic>P</italic>‐value = 3.18E‐03) and rs12917707 in <italic>UMOD</italic> (β = 2.0, <italic>P</italic>‐value = 8.84E‐04) were significantly associated with baseline estimated GFR. Analysis of effects on estimated GFR, stratified by albuminuria status, showed that in those without albuminuria (normoalbuminura; <italic>n </italic>=<italic> </italic>613), <italic>UMOD</italic> had a significantly stronger effect on estimated GFR (β<sub>normo</sub> = 4.03 ± 1.23 vs β<sub>albuminuria</sub> = 1.72 ± 0.76, <italic>P </italic>=<italic> </italic>0.002) compared with those with albuminuria, while <italic>GCKR</italic> (β<sub>normo</sub> = 0.45 ± 0.89 vs β<sub>albuminuria</sub> = 1.12 ± 0.55, <italic>P </italic>=<italic> </italic>0.08) and <italic>SHROOM3</italic> (β<sub>normo</sub> = −0.07 ± 0.89 vs β<sub>albuminuria</sub> = −1.43 ± 0.53, <italic>P </italic>=<italic> </italic>0.003) had a stronger effect on estimated GFR in those with albuminuria. <italic>UMOD</italic> was also associated with a lower rate of transition to stage 3B chronic kidney disease (hazard ratio = 0.83[0.70, 0.99], <italic>P </italic>=<italic> </italic>0.03).</p> </sec> <sec id="dme12211-sec-0004" sec-type="section"> <title>Conclusion</title> <p>The genetic variants that regulate estimated GFR in the general population tend to have similar effects in patients with Type 2 diabetes and in this latter population, it is important to adjust for albuminuria status while investigating the genetic determinants of renal function.</p> </sec> </abstract>