In clinical research settings of diabetes, multiple linear regression is often used to predict insulin sensitivity (derived from clamp or FSIGT data as response variable Y) by several independent variables (XT = (x1,...xk)): e.g. OGTT measurements (including repeated measurements of glucose, insulin and C-peptide for example), biochemical markers derived from fasting and postprandial state or parameters of body composition. The gene discussed is INS; the disease is diabetes mellitus.