2023 - Research.com Genetics in United States Leader Award
2009 - Fellow of the American Association for the Advancement of Science (AAAS)
2006 - Member of the National Academy of Medicine (NAM)
2002 - Fellow of the American Statistical Association (ASA)
Michael Boehnke mostly deals with Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Internal medicine. His studies deal with areas such as Body mass index and Glucose homeostasis as well as Genetics. His Genome-wide association study research includes themes of Quantitative trait locus, Genetic architecture, Allele, Imputation and Type 2 diabetes.
He has researched Genetic association in several fields, including Bioinformatics, Blood pressure, Heritability, Computational biology and Genetic testing. His Single-nucleotide polymorphism research incorporates elements of Human genome, Genetic variation and Copy-number variation. His Internal medicine research integrates issues from Endocrinology and Cardiology.
Genetics, Genome-wide association study, Genetic association, Locus and Type 2 diabetes are his primary areas of study. His study in Genetics focuses on Genetic linkage, Gene, Single-nucleotide polymorphism, Allele and Quantitative trait locus. His studies in Genome-wide association study integrate themes in fields like Bioinformatics, Genetic variation, Expression quantitative trait loci, Computational biology and Genetic architecture.
His Computational biology research is multidisciplinary, incorporating perspectives in Meta-analysis and Genome. His study in Genetic association is interdisciplinary in nature, drawing from both Imputation, Exome sequencing and Linkage disequilibrium. His Type 2 diabetes research is multidisciplinary, relying on both Internal medicine, Insulin and Insulin resistance.
His primary areas of study are Genome-wide association study, Genetics, Genetic association, Gene and Computational biology. His research in Genome-wide association study intersects with topics in Bipolar disorder, Meta-analysis, Disease, Locus and Genetic variation. His Genetics and Expression quantitative trait loci, Exome sequencing, Quantitative trait locus, Genotype and Mendelian randomization investigations all form part of his Genetics research activities.
The concepts of his Genetic association study are interwoven with issues in Phenotype, Biobank and Haplotype. His Gene research includes elements of Pulse pressure and Coding. The various areas that Michael Boehnke examines in his Computational biology study include Type I and type II errors, Genome, Whole genome sequencing, Association test and Genetic architecture.
Michael Boehnke spends much of his time researching Genetics, Genome-wide association study, Genetic association, Gene and Computational biology. His research links Blood lipids with Genetics. Michael Boehnke interconnects Schizophrenia, Meta-analysis, Quantitative trait locus, Expression quantitative trait loci and Heritability in the investigation of issues within Genome-wide association study.
Single-nucleotide polymorphism and Genotype is closely connected to Exome in his research, which is encompassed under the umbrella topic of Heritability. His Computational biology research incorporates themes from Genome, Reference genome and Data visualization. His study looks at the relationship between Genome and topics such as Genetic architecture, which overlap with Genetic variation.
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Analysis of protein-coding genetic variation in 60,706 humans
Monkol Lek;Konrad J. Karczewski;Konrad J. Karczewski;Eric V. Minikel;Eric V. Minikel;Kaitlin E. Samocha.
Finding the missing heritability of complex diseases
Teri A. Manolio;Francis S. Collins;Nancy J. Cox;David B. Goldstein.
The International HapMap Project
John W. Belmont;Paul Hardenbol;Thomas D. Willis;Fuli Yu.
Biological, clinical and population relevance of 95 loci for blood lipids
Tanya M. Teslovich;Kiran Musunuru;Albert V. Smith;Andrew C. Edmondson.
Age-Related Clonal Hematopoiesis Associated with Adverse Outcomes
Siddhartha Jaiswal;Pierre Fontanillas;Jason Flannick;Jason Flannick;Alisa Manning.
The New England Journal of Medicine (2014)
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
Elizabeth K. Speliotes;Elizabeth K. Speliotes;Cristen J. Willer;Sonja I. Berndt;Keri L. Monda.
Nature Genetics (2010)
A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants.
Laura J. Scott;Karen L. Mohlke;Lori L. Bonnycastle;Cristen J. Willer.
LocusZoom: regional visualization of genome-wide association scan results
Randall J. Pruim;Ryan P. Welch;Serena Sanna;Tanya M. Teslovich.
Discovery and refinement of loci associated with lipid levels
Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta;Gina M. Peloso;Gina M. Peloso;Gina M. Peloso.
Nature Genetics (2013)
Rare-Variant Association Testing for Sequencing Data with the Sequence Kernel Association Test
Michael C. Wu;Seunggeun Lee;Tianxi Cai;Yun Li.
American Journal of Human Genetics (2011)
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