title: Genetics and the individualized prediction of fracture.
abstract: Recent genome-wide association studies have identified many genetic variants associated with fracture risk. These genetic variants are common in the general population but have very modest effect sizes. A remaining challenge is to translate these genetic variant discoveries to better predict the risk of fracture based on an individual's genetic profile (ie, individualized risk assessment). Empirical and simulation studies have shown that 1) the utility of a single genetic variant for fracture risk assessment is very limited; but 2) a profile of 50 genetic variants, each with odds ratio ranging from 1.02 to 1.15, can improve the accuracy of fracture prediction and classification beyond that obtained by conventional clinical risk factors. These results are consistent with the view that genetic profiling, when integrated in existing risk assessment models, can inform a more accurate prediction of fracture risk in an individual.
authors.affiliation: Osteoporosis and Bone Biology Program, Garvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, Sydney, NSW 2010, Australia. t.nguyen@garvan.org.au
authors.forename: Tuan V
authors.initials: TV
authors.lastname: Nguyen
authors.forename: John A
authors.initials: JA
authors.lastname: Eisman
mesh_terms: D005260:Female; D050723:Fractures, Bone / Q000235:genetics*; D020022:Genetic Predisposition to Disease; D014644:Genetic Variation; D005823:Genetics; D055106:Genome-Wide Association Study; D006801:Humans; D008297:Male; D020641:Polymorphism, Single Nucleotide; D018570:Risk Assessment; D012307:Risk Factors