Lyngdoh, Tanica Vuistiner, Philippe Marques-Vidal, Pedro Rousson, Valentin Waeber, Gérard Vollenweider, Peter Bochud, Murielle Association of adiposity measures (using combined SNPs from the <i>FTO</i>, <i>MC4R</i> and <i>TMEM18</i> gene as instrument) with SUA (dependent variable of interest) in the overall sample. <p>BMI = body mass index; SNP = single-nucleotide polymorphism; SUA = serum uric acid; WC = waist circumference.</p><p>The β(95%CI) represents the association of SUA with adiposity markers as tested by the conventional epidemiological method (ordinary least square [OLS]) and by the instrumental variable analysis in a two-stage least square (2 SLS) regression (so called Mendelian randomization approach whenever the instruments are genetic variants). Similar magnitude and direction of coefficients derived from both the OLS and 2 SLS regressions suggest a causal effect of exposure (in this case adiposity) on the outcome of interest (in this case SUA). Further, a P value<sub>2SLS</sub> <0.05 against the null hypothesis favors a causal effect of adiposity on SUA.</p>a<p><i>P</i> value from the Durbin-Hausman test which compares the difference between estimates derived from the OLS and 2 SLS regressions.</p><p>Results are expressed as standardized regression coefficient (β) along with 95% confidence interval (CI).</p><p>Adjusted analysis controlled for age, sex, smoking, alcohol use, estimated glomerular filtration rate (GFR) and diuretic use.</p> adiposity;measures;snps;sua 2012-06-19
    https://plos.figshare.com/articles/dataset/_Association_of_adiposity_measures_using_combined_SNPs_from_the_FTO_MC4R_and_TMEM18_gene_as_instrument_with_SUA_dependent_variable_of_interest_in_the_overall_sample_/292825
10.1371/journal.pone.0039321.t005