publication . Article . Other literature type . 2013

Population-based analysis of Alzheimer's disease risk alleles implicates genetic interactions.

Ebbert, Mark T.W.; Ridge, Perry G.; Wilson, Andrew R.; Sharp, Aaron R.; Bailey, Matthew; Norton, Maria C.; Tschanz, JoAnn T.; Munger, Ronald G.; Corcoran, Christopher D.; Kauwe, John S.K.;
Open Access
  • Published: 13 Aug 2013 Journal: Biological Psychiatry, volume 75, pages 732-737 (issn: 0006-3223, Copyright policy)
  • Publisher: Elsevier BV
Abstract
Background Reported odds ratios and population attributable fractions (PAF) for late-onset Alzheimer’s disease (LOAD) risk loci (BIN1, ABCA7, CR1, MS4A4E, CD2AP, PICALM, MS4A6A, CD33, and CLU) come from clinically ascertained samples. Little is known about the combined PAF for these LOAD risk alleles and the utility of these combined markers for case–control prediction. Here we evaluate these loci in a large population-based sample to estimate PAF and explore the effects of additive and nonadditive interactions on LOAD status prediction performance. Methods 2419 samples from the Cache County Memory Study were genotyped for APOE and nine LOAD risk loci from AlzGe...
Subjects
free text keywords: Biological Psychiatry, Epistasis, Allele, Single-nucleotide polymorphism, Logistic regression, Population, education.field_of_study, education, Biology, Genetics, Odds ratio, Receiver operating characteristic, PICALM, Article
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