Alanna C. Morrison spends much of her time researching Genome-wide association study, Genetics, Internal medicine, Genetic association and Single-nucleotide polymorphism. Her research integrates issues of Bioinformatics, Blood pressure, Medical genetics, Disease and Genetic architecture in her study of Genome-wide association study. Her Blood pressure research includes themes of Kidney disease and Renal function.
Her study in Internal medicine is interdisciplinary in nature, drawing from both Endocrinology and Cardiology. Her Genetic association research is multidisciplinary, relying on both Quantitative trait locus, Dominance, Inbreeding depression and Locus. Her work deals with themes such as Haplotype and FEV1/FVC ratio, which intersect with Single-nucleotide polymorphism.
Genetics, Genome-wide association study, Internal medicine, Genetic association and Gene are her primary areas of study. She regularly links together related areas like Blood pressure in her Genetics studies. Her research in Blood pressure intersects with topics in Framingham Risk Score and Risk factor.
Her Genome-wide association study study also includes
Alanna C. Morrison focuses on Genetics, Genome-wide association study, Genetic association, Gene and Internal medicine. In most of her Genetics studies, her work intersects topics such as PCSK9. Alanna C. Morrison has researched Genome-wide association study in several fields, including Polymorphism, Bioinformatics, Blood pressure, Medical genetics and Genetic architecture.
Her Genetic association research is multidisciplinary, incorporating perspectives in Quantitative trait locus, Linkage disequilibrium, Locus and Imputation. Alanna C. Morrison interconnects Alcohol and Alcohol interactions in the investigation of issues within Gene. Her Internal medicine research incorporates themes from Endocrinology and Cardiology.
Her main research concerns Genome-wide association study, Genetics, Genetic association, Genetic architecture and Internal medicine. The concepts of her Genome-wide association study study are interwoven with issues in SNP, Polymorphism, Heart failure, Bioinformatics and Medical genetics. Many of her studies on Genetics involve topics that are commonly interrelated, such as Lipid metabolism.
Her Genetic association study results in a more complete grasp of Single-nucleotide polymorphism. The study incorporates disciplines such as Genome, Reference genome, Genomics and Computational biology in addition to Genetic architecture. Her Internal medicine study combines topics from a wide range of disciplines, such as Endocrinology, Metabolomics and Cardiology.
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Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk
Georg B. Ehret;Georg B. Ehret;Georg B. Ehret;Patricia B. Munroe;Kenneth M. Rice;Murielle Bochud.
Genome-wide association study of blood pressure and hypertension.
Daniel Levy;Georg B. Ehret;Georg B. Ehret;Kenneth Rice;Germaine C. Verwoert.
Nature Genetics (2009)
A prospective study of estrogen replacement therapy and the risk of developing Alzheimer's disease The Baltimore Longitudinal Study of Aging
Claudia Kawas;S. Resnick;A. Morrison;R. Brookmeyer.
A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease
M Nikpay;A Goel;Won H-H.;L M Hall.
Nature Genetics (2015)
Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function
Dana B. Hancock;Mark Eijgelsheim;Jemma B. Wilk;Sina A. Gharib.
Nature Genetics (2010)
A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease
Majid Nikpay;Anuj Goel;Hong-Hee Won;Leanne M. Hall.
Diagnostic Yield and Clinical Utility of Sequencing Familial Hypercholesterolemia Genes in Patients With Severe Hypercholesterolemia
Amit V. Khera;Amit V. Khera;Hong Hee Won;Gina M. Peloso;Gina M. Peloso;Kim S. Lawson.
Journal of the American College of Cardiology (2016)
Inactivating mutations in NPC1L1 and protection from coronary heart disease
Nathan O. Stitziel;Hong Hee Won;Alanna C. Morrison;Gina M. Peloso.
The New England Journal of Medicine (2014)
Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries
Mary F. Feitosa;Aldi T. Kraja;Daniel I. Chasman;Yun J. Sung.
PLOS ONE (2018)
Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure
Louise V. Wain;Germaine C. Verwoert;Paul F. O'Reilly;Gang Shi.
Nature Genetics (2011)
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