Assessing the combined impact of 18 common genetic variants of modest effect sizes on type 2 diabetes risk.
Assessing the combined impact of 18 common genetic variants of modest effect sizes on type 2 diabetes risk.
复制标题
评估18种常见遗传变异的综合遗传变异对2型糖尿病风险的综合影响。
作者:
Lango H;UK Type 2 Diabetes Genetics Consortium;Palmer CN;Morris AD;Zeggini E;Hattersley AT;McCarthy MI;Frayling TM;Weedon MN
OBJECTIVES—Genome-wide association studies have dramatically increased the number of common genetic variants that are robustly associated with type 2 diabetes. A possible clinical use of this information is to identify individuals at high risk of developing the disease, so that preventative measures may be more effectively targeted. Here, we assess the ability of 18 confirmed type 2 diabetes variants to differentiate between type 2 diabetic case and control subjects. RESEARCH DESIGN AND METHODS—We assessed index single nucleotide polymorphisms (SNPs) for the 18 independent loci in 2,598 control subjects and 2,309 case subjects from the Genetics of Diabetes Audit and Research Tayside Study. The discriminatory ability of the combined SNP information was assessed by grouping individuals based on number of risk alleles carried and determining relative odds of type 2 diabetes and by calculating the area under the receiver-operator characteristic curve (AUC). RESULTS—Individuals carrying more risk alleles had a higher risk of type 2 diabetes. For example, 1.2% of individuals with >24 risk alleles had an odds ratio of 4.2 (95% CI 2.11–8.56) against the 1.8% with 10–12 risk alleles. The AUC (a measure of discriminative accuracy) for these variants was 0.60. The AUC for age, BMI, and sex was 0.78, and adding the genetic risk variants only marginally increased this to 0.80. CONCLUSIONS—Currently, common risk variants for type 2 diabetes do not provide strong predictive value at a population level. However, the joint effect of risk variants identified subgroups of the population at substantially different risk of disease. Further studies are needed to assess whether individuals with extreme numbers of risk alleles may benefit from genetic testing.
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影响因子:
158.5
作者:
Knowler, WC;Barrett-Connor, E;Nathan, DM
通讯作者:
Nathan, DM
DOI:
10.1056/nejmoa072366
发表时间:
2007-08-02
期刊:
The New England journal of medicine
影响因子:
--
作者:
Samani NJ;Erdmann J;Hall AS;Hengstenberg C;Mangino M;Mayer B;Dixon RJ;Meitinger T;Braund P;Wichmann HE;Barrett JH;König IR;Stevens SE;Szymczak S;Tregouet DA;Iles MM;Pahlke F;Pollard H;Lieb W;Cambien F;Fischer M;Ouwehand W;Blankenberg S;Balmforth AJ;Baessler A;Ball SG;Strom TM;Braenne I;Gieger C;Deloukas P;Tobin MD;Ziegler A;Thompson JR;Schunkert H;WTCCC and the Cardiogenics Consortium
通讯作者:
WTCCC and the Cardiogenics Consortium
影响因子:
30.8
作者:
通讯作者:
--
影响因子:
30.8
作者:
Hampe, Jochen;Franke, Andre;Schreiber, Stefan
通讯作者:
Schreiber, Stefan
影响因子:
8.8
作者:
Janssens, A. Cecile J. W.;Moonesinghe, Ramal;Khoury, Muin J.
通讯作者:
Khoury, Muin J.