Validated Obesity Variants Have Limited Clinical Utility Publish date: Jul 29, 2010 ![]() THURSDAY, July 29 (HealthDay News) -- The discriminative value of 20 validated common genetic variants associated with
obesity is too weak for clinical practice use; however, when added to conventional nongenetic risk factors, they increase
the discrimination ability, according to a study published in the July issue of Diabetes. Camilla Helene Sandholt, of the Hagedorn Research Institute in Gentofte, Denmark, and colleagues evaluated the combined
effect of 20 validated genetic variants and their ability to discriminate between normal weight and overweight/obese individuals.
The researchers genotyped 1,725 normal weight, 1,519 overweight, and 681 obese individuals from the population-based Inter99
cohort for all 20 variants. Compared to the 10 percent of individuals in the study who carried fewer than 14 risk-alleles, the researchers found that
the 10 percent of individuals in the study who carried more than 22 risk-alleles had a significant increase in the probability
of being both overweight (odds ratio, 2.00) and obese (odds ratio, 2.62). Using the 20 single nucleotide polymorphisms (SNPs),
the discrimination ability, as measured by the area under the receiver operating characteristics curve, was 0.53 for overweight
and 0.58 for obesity. When combining the SNP data with conventional nongenetic risk factors of obesity, discrimination ability
increased to 0.64 for overweight and 0.69 for obesity, with the latter significantly higher compared to nongenetic factors
alone. "The discriminative value of the 20 SNPs on obesity is low compared with conventional risk factors but contributes significantly
when combined with conventional risk factors," the authors write. The Inter99 project was funded in part by Novo Nordisk, which employs two study authors. Copyright © 2010 HealthDay. All rights reserved. | Featured JobsCoding Counselor Simple and accurate ICD-9 code search. Start Here Patient Education Print customized patient education handouts. Start Here Dermatology Diagnosis Identify skin diseases by age, gender, location. Start Here AHRQ Clinical Guidelines Objective findings on medical interventions. Start Here ![]() ![]() |