Philip L. De Jager mostly deals with Genetics, Genome-wide association study, Allele, Single-nucleotide polymorphism and Alzheimer's disease. His Genetics study combines topics from a wide range of disciplines, such as Disease and Immunology. He combines subjects such as Human genetics and Bioinformatics with his study of Disease.
The Genome-wide association study study combines topics in areas such as Quantitative trait locus, Expression quantitative trait loci, Genetic association, Heritability and Candidate gene. The concepts of his Allele study are interwoven with issues in Molecular genetics, Multiple sclerosis, Autoimmunity and Genotype. His work deals with themes such as PICALM, Apolipoprotein E, Case-control study and Cognitive decline, which intersect with Alzheimer's disease.
Genetics, Genome-wide association study, Disease, Alzheimer's disease and Multiple sclerosis are his primary areas of study. His work on Genetics deals in particular with Gene, Single-nucleotide polymorphism, Allele, Locus and Haplotype. His Allele study combines topics in areas such as Odds ratio, Immunology and Genotype.
His Genome-wide association study study integrates concerns from other disciplines, such as Polymorphism, Quantitative trait locus, Genetic architecture, Expression quantitative trait loci and Genetic association. The study incorporates disciplines such as Computational biology, Neuroscience and Bioinformatics in addition to Disease. His Alzheimer's disease research includes themes of Apolipoprotein E, Oncology and Cognitive decline.
Philip L. De Jager spends much of his time researching Disease, Cognitive decline, Internal medicine, Computational biology and Cognition. His biological study spans a wide range of topics, including Genome-wide association study, Single-nucleotide polymorphism, Pediatrics and Bioinformatics. His study in Genome-wide association study is interdisciplinary in nature, drawing from both Mendelian randomization and Endophenotype.
Philip L. De Jager has included themes like Multiple sclerosis, Endocrinology and Oncology in his Internal medicine study. His Computational biology research is multidisciplinary, relying on both Proteome, Transcriptome, Expression quantitative trait loci, Gene and Genetic association. His Gene study introduces a deeper knowledge of Genetics.
Philip L. De Jager focuses on Internal medicine, Neuropathology, Oncology, Cognitive decline and Genome-wide association study. The various areas that Philip L. De Jager examines in his Neuropathology study include Genetics and Human brain. Philip L. De Jager has researched Genetics in several fields, including Inbreeding and Inbreeding depression.
His studies deal with areas such as Multiple sclerosis, Optic neuritis and Apolipoprotein E as well as Oncology. His Apolipoprotein E research is multidisciplinary, incorporating elements of Odds ratio and Allele. His work carried out in the field of Genome-wide association study brings together such families of science as Caudate nucleus, Nucleus accumbens, Putamen, Synaptic signaling and Genetic association.
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Integrative analysis of 111 reference human epigenomes
Anshul Kundaje;Wouter Meuleman;Wouter Meuleman;Jason Ernst.
Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease
Jean-Charles Lambert;Jean-Charles Lambert;Jean-Charles Lambert;Carla A Ibrahim-Verbaas;Denise Harold;Adam C Naj.
Nature Genetics (2013)
Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis
Stephen Sawcer;Garrett Hellenthal;Matti Pirinen;Chris C. A. Spencer.
Risk alleles for multiple sclerosis identified by a genomewide study.
David A. Hafler;Alastair Compston;Stephen Sawcer;Mark J. Daly.
The New England Journal of Medicine (2007)
Common variants at MS4A4/MS4A6E , CD2AP , CD33 and EPHA1 are associated with late-onset Alzheimer's disease
Adam C. Naj;Gyungah Jun;Gary W. Beecham;Li-San Wang.
Nature Genetics (2011)
Genetics of rheumatoid arthritis contributes to biology and drug discovery
Yukinori Okada;Yukinori Okada;Di Wu;Di Wu;Di Wu;Gosia Trynka;Gosia Trynka;Towfique Raj;Towfique Raj.
Genome-wide association study meta-analysis identifies seven new rheumatoid arthritis risk loci
Eli A Stahl;Soumya Raychaudhuri;Soumya Raychaudhuri;Elaine F Remmers;Gang Xie.
Nature Genetics (2010)
Genetic and Epigenetic Fine-Mapping of Causal Autoimmune Disease Variants
Kyle Kai How Farh;Alexander Marson;Jiang Zhu;Markus Kleinewietfeld.
Gene-wide analysis detects two new susceptibility genes for Alzheimer's disease
Valentina Escott-Price;Céline Bellenguez;Li-San Wang;Seung-Hoan Choi.
PLOS ONE (2014)
Charting a dynamic DNA methylation landscape of the human genome
Michael J. Ziller;Hongcang Gu;Fabian Müller;Julie Donaghey;Julie Donaghey.
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