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Michael A. Schmidt

Researcher at University of Miami

Publications -  26
Citations -  1423

Michael A. Schmidt is an academic researcher from University of Miami. The author has contributed to research in topics: Genome-wide association study & Exome sequencing. The author has an hindex of 14, co-authored 26 publications receiving 1074 citations. Previous affiliations of Michael A. Schmidt include John P. Hussman Institute for Human Genomics.

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Exome sequencing of extended families with autism reveals genes shared across neurodevelopmental and neuropsychiatric disorders

TL;DR: This work has identified novel DNA variations related to ASD, demonstrated that exome sequencing in extended families is a powerful tool for ASD candidate gene discovery, and provided further evidence of an underlying genetic component to a wide range of neurodevelopmental and neuropsychiatric diseases.
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Whole exome sequencing study identifies novel rare and common Alzheimer's-Associated variants involved in immune response and transcriptional regulation

Joshua C. Bis, +118 more
- 01 Aug 2020 - 
TL;DR: The Alzheimer’s Disease Sequencing Project undertook whole exome sequencing in 5,740 late-onset Alzheimer disease cases and 5,096 cognitively normal controls primarily of European ancestry, identifying novel and predicted functional genetic variants in genes previously associated with AD.
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Evaluation of Copy Number Variations Reveals Novel Candidate Genes in Autism Spectrum Disorder Associated Pathways

TL;DR: A significantly higher burden in the number and size of deletions is identified, and evidence of genetic overlap between ASDs and other neurodevelopmental and neuropsychiatric diseases is found, finding a few of the missing pieces of ASD heritability and lead to discovering novel etiological mechanisms.
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Novel Alzheimer Disease Risk Loci and Pathways in African American Individuals Using the African Genome Resources Panel: A Meta-analysis

Brian W. Kunkle, +79 more
- 01 Jan 2021 - 
TL;DR: Pathway analyses strongly support the notion that immunity, lipid processing, and intracellular trafficking pathways underlying Alzheimer disease in African American individuals overlap with those observed in non-Hispanic White individuals.
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SeqEM: an adaptive genotype-calling approach for next-generation sequencing studies

TL;DR: The proposed genotype-calling algorithm, which is called SeqEM, applies the well-known Expectation-Maximization algorithm to an appropriate likelihood for a sample of unrelated individuals with next-generation sequence data, leveraging information from the sample to estimate genotype probabilities and the nucleotide-read error rate.