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Daniel J. Schaid

Researcher at Mayo Clinic

Publications -  420
Citations -  36988

Daniel J. Schaid is an academic researcher from Mayo Clinic. The author has contributed to research in topics: Population & Genome-wide association study. The author has an hindex of 91, co-authored 403 publications receiving 34196 citations. Previous affiliations of Daniel J. Schaid include University of Rochester & University of Florida.

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Microsatellite instability in cancer of the proximal colon

TL;DR: Colorectal tumor DNA was examined for somatic instability at (CA)n repeats on human chromosomes 5q, 15q, 17p, and 18q, and this instability was significantly correlated with the tumor's location in the proximal colon and with increased patient survival and loss of heterozygosity.
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Score Tests for Association between Traits and Haplotypes when Linkage Phase Is Ambiguous

TL;DR: New methods of testing the statistical association between haplotypes and a wide variety of traits, including binary, ordinal, and quantitative traits are developed, which allow adjustment for nongenetic covariates, which may be critical when analyzing genetically complex traits.
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Efficacy of Bilateral Prophylactic Mastectomy in Women with a Family History of Breast Cancer

TL;DR: In women with a high risk of breast cancer on the basis of family history, prophylactic mastectomy can significantly reduce the incidence of Breast cancer.
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REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants

Nilah M. Ioannidis, +45 more
TL;DR: This work developed REVEL (rare exome variant ensemble learner), an ensemble method for predicting the pathogenicity of missense variants on the basis of individual tools: MutPred, FATHMM, VEST, PolyPhen, SIFT, PROVEAN, MutationAssessor, LRT, GERP, SiPhy, phyloP, and phastCons.
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Apolipoprotein E status as a predictor of the development of Alzheimer's disease in memory-impaired individuals.

TL;DR: Patients with mild cognitive impairment can be clinically defined, many members of this group progress to Alzheimer's disease, and APOE epsilon 4 allele status appears to be a strong predictor of clinical progression.