Using lifetime risk estimates in personal genomic profiles: estimation of uncertainty
Φόρτωση...
Ημερομηνία
Συγγραφείς
Yang, Q.
Flanders, W. D.
Moonesinghe, R.
Ioannidis, J. P.
Guessous, I.
Khoury, M. J.
Τίτλος Εφημερίδας
Περιοδικό ISSN
Τίτλος τόμου
Εκδότης
Περίληψη
Τύπος
Είδος δημοσίευσης σε συνέδριο
Είδος περιοδικού
peer-reviewed
Είδος εκπαιδευτικού υλικού
Όνομα συνεδρίου
Όνομα περιοδικού
Am J Hum Genet
Όνομα βιβλίου
Σειρά βιβλίου
Έκδοση βιβλίου
Συμπληρωματικός/δευτερεύων τίτλος
Περιγραφή
Personal genome tests are now offered direct-to-consumer (DTC) via genetic variants identified by genome-wide association studies (GWAS) for common diseases. Tests report risk estimates (age-specific and lifetime) for various diseases based on genotypes at multiple loci. However, uncertainty surrounding such risk estimates has not been systematically investigated. With breast cancer as an example, we examined the combined effect of uncertainties in population incidence rates, genotype frequency, effect sizes, and models of joint effects among genetic variants on lifetime risk estimates. We performed simulations to estimate lifetime breast cancer risk for carriers and noncarriers of genetic variants. We derived population-based cancer incidence rates from Surveillance, Epidemiology, and End Results (SEER) Program and comparative international data. We used data for non-Hispanic white women from 2003 to 2005. We derived genotype frequencies and effect sizes from published GWAS and meta-analyses. For a single genetic variant in FGFR2 gene (rs2981582), combination of uncertainty in these parameters produced risk estimates where upper and lower 95% simulation intervals differed by more than 3-fold. Difference in population incidence rates was the largest contributor to variation in risk estimates. For a panel of five genetic variants, estimated lifetime risk of developing breast cancer before age 80 for a woman that carried all risk variants ranged from 6.1% to 21%, depending on assumptions of additive or multiplicative joint effects and breast cancer incidence rates. Epidemiologic parameters involved in computation of disease risk have substantial uncertainty, and cumulative uncertainty should be properly recognized. Reliance on point estimates alone could be seriously misleading.
Περιγραφή
Λέξεις-κλειδιά
Adolescent, Adult, Aged, Aged, 80 and over, Breast Neoplasms/epidemiology/*genetics, Child, Child, Preschool, Female, *Genetic Predisposition to Disease, Genetic Variation, Genetics, Population, *Genome, Human, *Genomics, Genotype, Humans, Infant, Infant, Newborn, Middle Aged, Models, Statistical, Reproducibility of Results, Risk, SEER Program
Θεματική κατηγορία
Παραπομπή
Σύνδεσμος
http://www.ncbi.nlm.nih.gov/pubmed/19931039
http://ac.els-cdn.com/S0002929709004728/1-s2.0-S0002929709004728-main.pdf?_tid=d14ad90d05fc2383f7033da3cf8462f2&acdnat=1333363592_b5f3631407f5054483737076d44b032d
http://ac.els-cdn.com/S0002929709004728/1-s2.0-S0002929709004728-main.pdf?_tid=d14ad90d05fc2383f7033da3cf8462f2&acdnat=1333363592_b5f3631407f5054483737076d44b032d
Γλώσσα
en
Εκδίδον τμήμα/τομέας
Όνομα επιβλέποντος
Εξεταστική επιτροπή
Γενική Περιγραφή / Σχόλια
Ίδρυμα και Σχολή/Τμήμα του υποβάλλοντος
Πανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικής