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After Bonferroni correction for multiple comparisons (corrected ��-level: P = 0.0085), none of the SNPs was significantly associated with TAT, VAT, NVAT, liver fat content, or IMCL (M. tibialis and M. soleus) (all P > 0.009). Most of the newly discovered obesity SNPs, despite their influence on BMI, were not associated with weight-related complications like increased lipid levels, coronary heart disease, and diabetes mellitus (1). Only the SNPs rs6548238 in TMEM18 and rs10938397 in GNPDA2 increase the risk for diabetes (P > 0.0008) (ref. 1). This lack of association may be due to the incomplete correlation of BMI with these traits and the small effect sizes of these genes (21). Recently, we showed that the conventional biomarkers Verubecestat datasheet for obesity (BMI and body fat measurement (bioimpedance)) reflected the risk for comorbidities (e.g., the metabolic syndrome and diabetes) only incomplete. Therefore, a kind of metabolically benign obesity exists with a body composition, which is shifted to nonvisceral fat, lower hepatic fat content, and lower visceral adipose tissue (11). Thus, it was important to investigate whether the novel risk SNPs increase specific fat compartments. Despite the low effect size on BMI, some of these new obesity SNPs may influence body composition in a kind of benign obesity, like the gene near MC4R (14), or metabolically unfavorable obesity, GSK126 like the gene RARRES2 (13). As compared to the FTO SNPs (22), these latest SNPs displayed only a weak association with BMI and, thus, might also include false-positives. Therefore, we applied Bonferroni correction for multiple comparisons in order to minimize the number of statistical type 1 errors (23). By analyzing the data in this way, we could not detect any reliable association of the candidate SNPs with measures of adiposity or body fat distribution. By analyzing these SNPs without Bonferroni correction, we could confirm the association of the risk alleles of TMEM18 rs6548238 and MTCH2 rs10838738 with BMI. The association of TMEM18 with total body fat and/or waist circumference further strengthens the role of this SNP in general obesity. However, even under these less-stringent statistical conditions, this SNP did not display specific effects on body fat distribution. SH2B1 and GNPDA2 showed effects on VAT and Fluconazole IMCL. These associations may represent statistical type 1 errors because of the lack of effect on BMI in our cohort. We found no reliable association of the risk allele of KTCD15 and NEGR1 with weight-related traits or body composition. Thus, the genetic variation in TMEM18 may exert weak effects on total body fat without accentuation of a specific fat compartment. To further prove these findings, further studies are needed, which allow the reliable detection of smaller effect sizes (