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Julie A. Douglas

Researcher at University of Michigan

Publications -  52
Citations -  8859

Julie A. Douglas is an academic researcher from University of Michigan. The author has contributed to research in topics: Cancer & Prostate cancer. The author has an hindex of 24, co-authored 47 publications receiving 8493 citations. Previous affiliations of Julie A. Douglas include Skidmore College & Johns Hopkins University.

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The International HapMap Project

John W. Belmont, +145 more
- 18 Dec 2003 - 
TL;DR: The HapMap will allow the discovery of sequence variants that affect common disease, will facilitate development of diagnostic tools, and will enhance the ability to choose targets for therapeutic intervention.
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A common variant associated with prostate cancer in European and African populations

TL;DR: Allele −8 of the microsatellite DG8S737 was associated with prostate cancer in three case-control series of European ancestry from Iceland, Sweden and the US, and the association was replicated in an African American case- control group with a similar OR, leading to a greater estimated PAR.
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The Finland-United States investigation of non-insulin-dependent diabetes mellitus genetics (FUSION) study. I. An autosomal genome scan for genes that predispose to type 2 diabetes.

TL;DR: An ordered-subsets analysis based on families with high or low diabetes-related quantitative traits yielded results that support the possible existence of disease-predisposing genes on chromosomes 6 and 10, and Genomewide linkage-disequilibrium analysis using microsatellite marker data revealed strong evidence of association for D22S423.
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Experimentally-derived haplotypes substantially increase the efficiency of linkage disequilibrium studies.

TL;DR: It is shown that, particularly when phenotyping is expensive, conversion-based haplotyping can be more efficient and cost-effective than standard genotyping.
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A Multipoint Method for Detecting Genotyping Errors and Mutations in Sibling-Pair Linkage Data

TL;DR: A hidden Markov method for detecting genotyping errors and mutations in multilocus linkage data designed for use with sibling-pair data when parental genotypes are unavailable, which generally flags those errors that have the largest impact on linkage results.