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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.

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Genome scan of schizophrenia families in a large Veterans Affairs Cooperative Study sample: Evidence for linkage to 18p11.32 and for racial heterogeneity on chromosomes 6 and 14

TL;DR: Results from a genome scan of 166 schizophrenia families collected through the Department of Veterans Affairs Cooperative Studies Program are reported, with a definition of affection status included schizophrenia and schizoaffective disorder, depressed type and families as European American and African American based on the probands' and parents' races based on data collected by interviewing the Probands.
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Transancestral fine-mapping of four type 2 diabetes susceptibility loci highlights potential causal regulatory mechanisms

Momoko Horikoshi, +71 more
TL;DR: Transancestral fine-mapping data is undertook in 22 086 cases and 42 539 controls of East Asian, European, South Asian, African American and Mexican American descent to provide insight into the mechanisms through which type 2 diabetes association signals are mediated, and suggest future routes to understanding the biology of specific disease susceptibility loci.
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Using sex‐averaged genetic maps in multipoint linkage analysis when identity‐by‐descent status is incompletely known

TL;DR: The results suggest that when possible, sex‐specific maps should be used in linkage analyses for multipoint linkage analysis of affected sibling pairs when identity‐by‐descent states are incompletely known due to missing parental genotypes and incomplete marker heterozygosity.

Genome-wide meta-analysis of common variant differences between men and women

Vesna Boraska, +126 more
TL;DR: This paper conducted a large-scale genome-wide association scan (GWAS) meta-analysis across 51 studies, comprising overall 114 863 individuals (61 094 women and 53 769 men) of European ancestry and 2 623 828 common (minor allele frequency > 0.05) single-nucleotide polymorphisms (SNPs).

Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions

Paul S. de Vries, +265 more
TL;DR: A person's lipid profile is influenced by genetic variants and alcohol consumption, but the contribution of interactions between these exposures has not been studied, so gene-alcohol interactions are incorporated into a multiancestry genome-wide association study of levels of high-density lipoprotein cholesterol, low-density cholesterol, and triglycerides.