His primary scientific interests are in Genetics, Genome-wide association study, Genetic association, Linkage disequilibrium and Single-nucleotide polymorphism. In general Genetics study, his work on Haplotype and International HapMap Project often relates to the realm of Bipolar disorder and Psychosis, thereby connecting several areas of interest. While the research belongs to areas of Haplotype, he spends his time largely on the problem of Human genome, intersecting his research to questions surrounding Selection and Natural selection.
The concepts of his Genome-wide association study study are interwoven with issues in Allele, Allele frequency, Genotyping, Disease and ANK3. His Genetic association research incorporates elements of Genetic architecture, Psoriasis, Immunology and Genetic predisposition. His research in Linkage disequilibrium intersects with topics in Sample size determination, Bioinformatics and Pruning.
His scientific interests lie mostly in Genetics, Genome-wide association study, Genetic association, Linkage disequilibrium and Single-nucleotide polymorphism. His studies in Haplotype, Allele, Copy-number variation, Gene and Genome are all subfields of Genetics research. In his study, Mutation is strongly linked to Natural selection, which falls under the umbrella field of Haplotype.
His Genome-wide association study study incorporates themes from Case-control study, Immunology, Disease, Genetic architecture and Candidate gene. His Genetic association research is multidisciplinary, incorporating elements of Psoriasis, Genetic predisposition, Bioinformatics, Genetic heterogeneity and Genetic variation. His Linkage disequilibrium study also includes
His main research concerns Genetics, Genome-wide association study, Genetic association, Copy-number variation and Disease. Chris C. A. Spencer conducted interdisciplinary study in his works that combined Genetics and Bipolar disorder. His research in Genome-wide association study intersects with topics in Odds ratio, Biobank, Computational biology and Case-control study.
His Biobank research integrates issues from Phenome and Single-nucleotide polymorphism. His Genetic association research is multidisciplinary, relying on both Meta-analysis, Bayesian probability and Frequentist inference. Chris C. A. Spencer focuses mostly in the field of Copy-number variation, narrowing it down to topics relating to Structural variation and, in certain cases, Locus, 1000 Genomes Project, Haplotype and Red blood cell.
Chris C. A. Spencer spends much of his time researching Genome-wide association study, Genetics, Copy-number variation, Virology and Hepatitis C virus. His study in Genome-wide association study is interdisciplinary in nature, drawing from both Odds ratio, Phenotype and Case-control study. Chris C. A. Spencer combines topics linked to Disease with his work on Genetics.
His studies in Copy-number variation integrate themes in fields like Structural variation, GYPA, 1000 Genomes Project, Haplotype and GYPB. His research integrates issues of Acquired immune system, Genetic variability and Innate immune system in his study of Virology. His Hepatitis C virus study integrates concerns from other disciplines, such as Genome and Immune system.
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Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
Paul R. Burton;David G. Clayton;Lon R. Cardon;Nick Craddock.
A haplotype map of the human genome
John W. Belmont;Andrew Boudreau;Suzanne M. Leal;Paul Hardenbol.
A second generation human haplotype map of over 3.1 million SNPs
Kelly A. Frazer;Dennis G. Ballinger;David R. Cox;David A. Hinds.
Biological insights from 108 schizophrenia-associated genetic loci
Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Aiden Corvin;James T. R. Walters.
Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis
Stephen Sawcer;Garrett Hellenthal;Matti Pirinen;Chris C. A. Spencer.
Genome-wide detection and characterization of positive selection in human populations
Pardis C. Sabeti;Pardis C. Sabeti;Patrick Varilly;Patrick Varilly;Ben Fry;Jason Lohmueller.
Genome-wide association study identifies five new schizophrenia loci
Stephan Ripke;Alan R. Sanders;Kenneth S. Kendler;Douglas F. Levinson.
Nature Genetics (2011)
Association scan of 14,500 nonsynonymous SNPs in four diseases identifies autoimmunity variants
Paul R Burton;David G Clayton;Lon R Cardon;Nick Craddock.
Nature Genetics (2007)
Identification of loci associated with schizophrenia by genome-wide association and follow-up
Michael C. O'Donovan;Nicholas Craddock;Nadine Norton;Hywel Williams.
Nature Genetics (2008)
Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores
Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev.
American Journal of Human Genetics (2015)
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