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Lars Beckmann

Researcher at German Cancer Research Center

Publications -  45
Citations -  2137

Lars Beckmann is an academic researcher from German Cancer Research Center. The author has contributed to research in topics: Breast cancer & Single-nucleotide polymorphism. The author has an hindex of 23, co-authored 44 publications receiving 1996 citations. Previous affiliations of Lars Beckmann include New York University.

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Haplotypes and haplotype-tagging single-nucleotide polymorphism: presentation Group 8 of Genetic Analysis Workshop 14.

TL;DR: The results indicate that haplotype-sharing based on Mantel statistics can be a powerful approach and needs further methodological evaluation as mentioned in this paper, however, methodological improvements are required for chromosomal regions of low to moderate LD.
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Carcinogen metabolism, cigarette smoking, and breast cancer risk: a Bayes model averaging approach.

TL;DR: Logistic regression with and without stepwise selection and Bayes Model Averaging were applied to a population-based case-control study exploring the association of genetic variants in tobacco smoke-related carcinogen pathways with breast cancer.
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SDMinP: a program to control the family wise error rate using step-down minP adjusted P -values

TL;DR: SDMinP is an easy-to-use program for fast calculation of empirical and adjusted P-values for correlated and uncorrelated hypotheses in multiple testing experiments and implements a variation of an efficient algorithm, which reduces the originally required re-sampling effort considerably and makes the method computationally feasible.
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Gene by environment interactions.

TL;DR: This paper summarizes the contributions of group 8 to the Genetic Analysis Workshop 15, which focused on ways to address the possibility that genetic and environmental effects on phenotype may not be independent, but instead may interact in ways that could play important roles in determining phenotype.
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Comparison of different haplotype-based association methods for gene-environment (GxE) interactions in case-control studies when haplotype-phase is ambiguous.

TL;DR: The investigated retrospective methods can be an attractive alternative to haplotype-based methods which do not account for the retrospective sampling design for the analysis of gene-environment interactions in case-control data.