Stephen B. Montgomery mostly deals with Genetics, Gene, Expression quantitative trait loci, Quantitative trait locus and Genome-wide association study. In most of his Genetics studies, his work intersects topics such as Computational biology. In Computational biology, Stephen B. Montgomery works on issues like 1000 Genomes Project, which are connected to DNA sequencing.
His Expression quantitative trait loci research is multidisciplinary, incorporating elements of International HapMap Project, Genomics and Gene expression, Gene expression profiling. His studies examine the connections between Genome-wide association study and genetics, as well as such issues in Human genetic variation, with regards to Evolutionary biology, Minor allele frequency, Imputation, SNP genotyping and Copy-number variation. His research investigates the connection with Genetic variation and areas like Human genetics which intersect with concerns in Transcriptome.
Stephen B. Montgomery mainly investigates Genetics, Gene, Computational biology, Genome-wide association study and Expression quantitative trait loci. His Genetics study focuses mostly on Regulation of gene expression, Quantitative trait locus, Genetic variation, Genome and Human genome. His Human genome study combines topics in areas such as Negative selection and 1000 Genomes Project.
His research in Gene focuses on subjects like Disease, which are connected to Bioinformatics and Heart failure. His Computational biology study also includes fields such as
Stephen B. Montgomery spends much of his time researching Computational biology, Genome-wide association study, Gene, Transcriptome and Genetics. His studies deal with areas such as Chromatin, Linkage disequilibrium, Haplotype and Whole genome sequencing as well as Computational biology. His Genome-wide association study research integrates issues from Phenotype, Expression quantitative trait loci, Genetic association, Glucose homeostasis and Heritability.
His work in the fields of Gene, such as Mobile genetic elements and Insertion sequence, intersects with other areas such as Prophage and Antibiotic resistance. His research on Genetics frequently connects to adjacent areas such as Disease. In his research on the topic of Genome, Human genome, Multifactorial Inheritance, Alternative splicing and Function is strongly related with Genetic variation.
The scientist’s investigation covers issues in Computational biology, Transcriptome, Gene, Genome-wide association study and Phenotype. Stephen B. Montgomery has researched Computational biology in several fields, including Adaptation and Transposable element. His biological study spans a wide range of topics, including Proteome, Quantitative trait locus, Expression quantitative trait loci, Regulation of gene expression and Genetic variation.
His Genetic variation research is multidisciplinary, incorporating perspectives in Genome, Human genome, Multifactorial Inheritance, Function and Alternative splicing. His Virulence, Mobile genetic elements, Insertion sequence and Gene expression study, which is part of a larger body of work in Gene, is frequently linked to Prophage, bridging the gap between disciplines. His Genome-wide association study study is related to the wider topic of Genetics.
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A global reference for human genetic variation.
Adam Auton;Gonçalo R. Abecasis;David M. Altshuler;Richard M. Durbin.
(2015)
Integrating common and rare genetic variation in diverse human populations
D M Altshuler;R A Gibbs;L Peltonen.
Nature (2010)
The Genome Sequence of the SARS-associated Coronavirus
Marco A. Marra;Steven J. M. Jones;Caroline R. Astell;Robert A. Holt.
Science (2003)
Genetic effects on gene expression across human tissues.
Enhancing GTEx (eGTEx) groups.
Nature (2017)
The GTEx Consortium atlas of genetic regulatory effects across human tissues
F Aguet;AN Barbeira;R Bonazzola;A Brown.
Science (2020)
Transcriptome and genome sequencing uncovers functional variation in humans
Tuuli Lappalainen;Michael Sammeth;Marc R. Friedländer;Peter A. C. ‘t Hoen.
Nature (2013)
A global reference for human genetic variation
Adam Auton;Gonçalo R. Abecasis;David M. Altshuler;Richard M. Durbin.
PMC (2015)
Population genomics of human gene expression
Barbara E. Stranger;Alexandra C. Nica;Matthew S. Forrest;Antigone Dimas.
Nature Genetics (2007)
Mapping copy number variation by population-scale genome sequencing
Ryan E. Mills;Klaudia Walter;Chip Stewart;Robert E. Handsaker.
(2011)
A Systematic Survey of Loss-of-Function Variants in Human Protein-Coding Genes
Daniel G. MacArthur;Daniel G. MacArthur;Suganthi Balasubramanian;Adam Frankish;Ni Huang.
Science (2012)
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