A Nondegenerate Code of Deleterious Variants in Mendelian Loci Contributes to Complex Disease Risk - Test2 - elhamkhani - TriplyDB

A Nondegenerate Code of Deleterious Variants in Mendelian Loci Contributes to Complex Disease Risk

A Nondegenerate Code of Deleterious Variants in Mendelian Loci Contributes to Complex Disease Risk

http://www.wikidata.org/entity/Q30002401

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The Human Phenotype Ontology: Semantic Unification of Common and Rare Disease Big data for bipolar disorder.Improving medical students' knowledge of genetic disease: a review of current and emerging pedagogical practices Moving from capstones toward cornerstones: successes and challenges in applying systems biology to identify mechanisms of autism spectrum disorders Current strategies for mutation detection in phenotype-driven screens utilising next generation sequencing Mendelian randomization: genetic anchors for causal inference in epidemiological studies The Genetic Basis of Mendelian Phenotypes: Discoveries, Challenges, and Opportunities The impact of human copy number variation on gene expression Applying the ARRIVE Guidelines to an In Vivo Database Molecularly and clinically related drugs and diseases are enriched in phenotypically similar drug-disease pairs Investigation of 7-dehydrocholesterol reductase pathway to elucidate off-target prenatal effects of pharmaceuticals: a systematic review News from the NIH: potential contributions of the behavioral and social sciences to the precision medicine initiative Surveying Recent Themes in Translational Bioinformatics: Big Data in EHRs, Omics for Drugs, and Personal Genomics The human disease network in terms of dysfunctional regulatory mechanisms Evolutionary signatures amongst disease genes permit novel methods for gene prioritization and construction of informative gene-based networks Big data in medicine is driving big changes Quantifying the impact and extent of undocumented biomedical synonymy Network biology concepts in complex disease comorbidities Temporal disease trajectories condensed from population-wide registry data covering 6.2 million patients Data-driven discovery of seasonally linked diseases from an Electronic Health Records system.Depression-like episodes in mice harboring mtDNA deletions in paraventricular thalamus Quantification of diabetes comorbidity risks across life using nation-wide big claims data [Big data, medical language and biomedical terminology systems].Next-generation DNA sequencing identifies novel gene variants and pathways involved in specific language impairment 'Particle genetics': treating every cell as unique.Serum calcium and risk of migraine: a Mendelian randomization study Properties of human disease genes and the role of genes linked to Mendelian disorders in complex disease aetiology.Reading and language disorders: the importance of both quantity and quality.Variant adiponutrin confers genetic protection against cholestatic itch Identifying novel interventional strategies for psychiatric disorders: integrating genomics, 'enviromics' and gene-environment interactions in valid preclinical models.Mining cancer-specific disease comorbidities from a large observational health database Modules, networks and systems medicine for understanding disease and aiding diagnosis.Building the graph of medicine from millions of clinical narratives.Copy number variants encompassing Mendelian disease genes in a large multigenerational family segregating bipolar disorder Genetic similarity between cancers and comorbid Mendelian diseases identifies candidate driver genes.Case-only exome sequencing and complex disease susceptibility gene discovery: study design considerations.Disease Comorbidity Network Guides the Detection of Molecular Evidence for the Link Between Colorectal Cancer and Obesity.DNetDB: The human disease network database based on dysfunctional regulation mechanism PredictSNP2: A Unified Platform for Accurately Evaluating SNP Effects by Exploiting the Different Characteristics of Variants in Distinct Genomic Regions.Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks

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A Nondegenerate Code of Deleterious Variants in Mendelian Loci Contributes to Complex Disease Risk

http://www.wikidata.org/entity/Q30002401

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2013 nî lūn-bûn

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2013 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած

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2013 թվականի սեպտեմբերին հրատարակված գիտական հոդված

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2013年の論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年论文

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A Nondegenerate Code of Delete ...... ibutes to Complex Disease Risk

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A Nondegenerate Code of Delete ...... ibutes to Complex Disease Risk

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A Nondegenerate Code of Delete ...... ibutes to Complex Disease Risk

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A Nondegenerate Code of Delete ...... ibutes to Complex Disease Risk

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A Nondegenerate Code of Delete ...... ibutes to Complex Disease Risk

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A Nondegenerate Code of Delete ...... ibutes to Complex Disease Risk

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A nondegenerate code of delete ...... ibutes to complex disease risk

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Anders Boeck Jensen

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Charles F Bearden

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Christopher S Lyttle

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Elmer V Bernstam

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Jonathan M Mortensen

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Kevin P White

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Lars Juhl Jensen

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Nancy J Cox

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Nigam H Shah

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Sortilin as a regulator of lipoprotein metabolism

Digenic inheritance of an SMCHD1 mutation and an FSHD-permissive D4Z4 allele causes facioscapulohumeral muscular dystrophy type 2

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