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Stephanie A. Bien

Researcher at Fred Hutchinson Cancer Research Center

Publications -  61
Citations -  3001

Stephanie A. Bien is an academic researcher from Fred Hutchinson Cancer Research Center. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 18, co-authored 51 publications receiving 1943 citations.

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Journal ArticleDOI

Genetic analyses of diverse populations improves discovery for complex traits

Genevieve L. Wojcik, +90 more
- 27 Jun 2019 - 
TL;DR: The value of diverse, multi-ethnic participants in large-scale genomic studies is demonstrated and evidence of effect-size heterogeneity across ancestries for published GWAS associations, substantial benefits for fine-mapping using diverse cohorts and insights into clinical implications are shown.
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Discovery of common and rare genetic risk variants for colorectal cancer

Jeroen R. Huyghe, +224 more
- 01 Jan 2019 - 
TL;DR: Genome-wide association analyses based on whole-genome sequencing and imputation identify 40 new risk variants for colorectal cancer, including a strongly protective low-frequency variant at CHD1 and loci implicating signaling and immune function in disease etiology.
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Genome-wide physical activity interactions in adiposity. A meta-analysis of 200,452 adults

Mariaelisa Graff, +349 more
- 27 Apr 2017 - 
TL;DR: In additional genome-wide meta-analyses adjusting for PA and interaction with PA, 11 novel adiposity loci are identified, suggesting that accounting for PA or other environmental factors that contribute to variation in adiposity may facilitate gene discovery.
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Determining Risk of Colorectal Cancer and Starting Age of Screening Based on Lifestyle, Environmental, and Genetic Factors.

TL;DR: The models determined risk of CRC and starting ages for screening with greater accuracy than the family history only model, which is based on the current screening guideline, might serve as a first step toward developing individualized CRC prevention strategies.
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Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations

Madeline H. Kowalski, +86 more
- 23 Dec 2019 - 
TL;DR: It is demonstrated that using TOPMed sequencing data as the imputation reference panel improves genotypes into admixed African and Hispanic/Latino samples with genome-wide genotyping array data, which subsequently enhanced gene-mapping power for complex traits.