Alexander P. Reiner spends much of his time researching Genetics, Genome-wide association study, Genetic association, Internal medicine and Single-nucleotide polymorphism. Genotype, Gene, Exome, Allele and Allele frequency are the subjects of his Genetics studies. The Genome-wide association study study combines topics in areas such as SNP, Bioinformatics, Medical genetics, Meta-analysis and Locus.
His research in Genetic association intersects with topics in Phenome, Genomics, Pacific islanders and Genetic variation. His study in Internal medicine is interdisciplinary in nature, drawing from both Gastroenterology, Endocrinology and Type 2 diabetes. His studies deal with areas such as Polymorphism and Gene mapping as well as Single-nucleotide polymorphism.
Alexander P. Reiner mostly deals with Genetics, Genome-wide association study, Internal medicine, Genetic association and Single-nucleotide polymorphism. His study in Genetics focuses on Gene, Allele, Locus, Exome and Minor allele frequency. His research in Genome-wide association study focuses on subjects like Bioinformatics, which are connected to Disease.
He has included themes like Endocrinology and Cardiology in his Internal medicine study. His biological study spans a wide range of topics, including Evolutionary biology, Genetic variation, Linkage disequilibrium, Meta-analysis and Computational biology. The concepts of his Single-nucleotide polymorphism study are interwoven with issues in Polymorphism, Immunology, Heritability, Haplotype and Candidate gene.
Alexander P. Reiner mainly investigates Genome-wide association study, Genetics, Internal medicine, Genetic association and Disease. His Genome-wide association study study improves the overall literature in Single-nucleotide polymorphism. Alexander P. Reiner interconnects Endocrinology and Cardiology in the investigation of issues within Internal medicine.
His Genetic association study incorporates themes from Mendelian randomization, Genome, Meta-analysis, ABO blood group system and Computational biology. His Disease study integrates concerns from other disciplines, such as Telomere, Precision medicine, Cholesterol and Bioinformatics. Within one scientific family, he focuses on topics pertaining to Minor allele frequency under Whole genome sequencing, and may sometimes address concerns connected to Exome.
His primary areas of study are Genome-wide association study, Genetics, Genetic association, Genetic architecture and Disease. Alexander P. Reiner has researched Genome-wide association study in several fields, including Evolutionary biology, Heritability, Mendelian randomization, Cardiology and Human genetics. Genetics is closely attributed to Lipid profile in his work.
His Genetic association research includes themes of SNP and Genomics. His Genetic architecture study combines topics in areas such as Precision medicine, Genome, Reference genome, Blood cell and Computational biology. Internal medicine covers Alexander P. Reiner research in Disease.
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Effect of VKORC1 haplotypes on transcriptional regulation and warfarin dose.
Mark J. Rieder;Alexander P. Reiner;Brian F. Gage;Deborah A. Nickerson.
The New England Journal of Medicine (2005)
The interleukin-6 receptor as a target for prevention of coronary heart disease: a mendelian randomisation analysis.
D I Swerdlow;M V Holmes;K B Kuchenbaecker.
The Lancet (2012)
Loss-of-function mutations in APOC3, triglycerides, and coronary disease
Jacy Crosby;Gina M. Peloso;Gina M. Peloso;Paul L. Auer;David R. Crosslin.
The New England Journal of Medicine (2014)
Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction
Ron Do;Ron Do;Nathan O. Stitziel;Hong Hee Won;Hong Hee Won;Anders Berg Jørgensen.
Association between C reactive protein and coronary heart disease: mendelian randomisation analysis based on individual participant data
G. Eiriksdottir;T. B. Harris;L. J. Launer;V. Gudnason.
web science (2011)
HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials.
Daniel I Swerdlow;David Preiss;Karoline B Kuchenbaecker;Michael Holmes.
The Lancet (2015)
DNA methylation-based measures of biological age: meta-analysis predicting time to death
Brian H. Chen;Riccardo E. Marioni;Riccardo E. Marioni;Elena Colicino;Marjolein J. Peters.
Aging (Albany NY) , 8 (9) pp. 1844-1865. (2016) (2016)
Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use
Mengzhen Liu;Yu Jiang;Robbee Wedow;Yue Li;Yue Li.
Nature Genetics (2019)
Genetic risk factors for ischaemic stroke and its subtypes (the METASTROKE collaboration): a meta-analysis of genome-wide association studies.
Matthew Traylor;Martin Farrall;Elizabeth G Holliday;Cathie Sudlow.
Lancet Neurology (2012)
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)
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