Generalized linear regression models showing the effects of genes on kidney functions and other continuous predictors.

<p>Models are adjusted for age, sex, diabetes and urinary albumin/creatinine ratio.</p><p>CKD-EPI, Chronic Kidney Disease Epidemiology Collaboration; eGFR, estimated glomerular filtration rate; MDRD, Modification of Diet in Renal Disease.</p

Odd ration and 95% confidence intervals from logistic regression for the prediction of CKD stage 3–5.

<p>ACR, urinary albumin/creatinine ratio; CKD-EPI, Chronic Kidney Disease Epidemiology Collaboration; eGFR, estimated glomerular filtration rate; MDRD, Modification of Diet in Renal Disease.</p

Baseline characteristics overall and by diabetes status.

<p>ACR, urinary albumin/creatinine ratio; CKD-EPI, Chronic Kidney Disease Epidemiology Collaboration; eGFR, estimated glomerular filtration rate; MDRD, Modification of Diet in Renal Disease; SD, standard deviation.</p

Genotype distributions, minor allele frequencies, and unadjusted p-values for comparing genotype distributions according to diabetes status, additive allelic effects between diabetes groups.

<p>HWE, Hardy-Weindberg Equilibrium (HWE p-values are from exact tests).</p

Odd ratio and 95% confidence intervals from logistic regression for the prediction of proteinuria.

<p>Odd ratio and 95% confidence intervals from logistic regression for the prediction of proteinuria.</p

MOESM1 of Lipoprotein(a) and incident type-2 diabetes: results from the prospective Bruneck study and a meta-analysis of published literature

Additional file 1. Online appendix