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Michael Boehnke

Researcher at University of Michigan

Publications -  540
Citations -  155551

Michael Boehnke is an academic researcher from University of Michigan. The author has contributed to research in topics: Genome-wide association study & Type 2 diabetes. The author has an hindex of 152, co-authored 511 publications receiving 136681 citations. Previous affiliations of Michael Boehnke include SUNY Downstate Medical Center & Norwegian University of Science and Technology.

Papers
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Journal Article

Identifying marker typing incompatibilities in linkage analysis.

TL;DR: Two methods for automatically identifying those individuals whose genotypes are most likely the cause of the inconsistencies in the pedigree are developed and implemented as a module of the pedigree analysis program package MENDEL.
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Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use

David M. Brazel, +185 more
TL;DR: Fine-mapping genome-wide association study loci identifies specific variants contributing to the biological etiology of substance use behavior, including nonsynonymous/loss-of-function coding variants.

Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

Georg Ehret, +345 more
TL;DR: A new meta-analysis of GWAS data that includes staged follow-up genotyping to identify additional BP loci is reported, providing new insights into the genetics and biology of BP, and suggest novel potential therapeutic pathways for cardiovascular disease prevention.
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Methods for meta‐analysis of multiple traits using GWAS summary statistics

TL;DR: MetaUSAT is a novel unified association test of a single genetic variant with multiple traits that uses only summary statistics from existing GWAS that can provide novel insights into the genetic architecture of a common disease or traits.
Journal ArticleDOI

Pleiotropy Analysis of Quantitative Traits at Gene Level by Multivariate Functional Linear Models

TL;DR: Three types of approximate F‐distribution tests based on Pillai–Bartlett trace, Hotelling–Lawley trace, and Wilks's Lambda are introduced to test for association between multiple quantitative traits and multiple genetic variants in one genetic region.