Mike A. Nalls mainly focuses on Genetics, Genome-wide association study, Single-nucleotide polymorphism, Genetic association and Internal medicine. His Genetics study frequently links to related topics such as Alzheimer's disease. The Genome-wide association study study combines topics in areas such as Bioinformatics, Meta-analysis, Quantitative trait locus, Disease and Locus.
Mike A. Nalls combines subjects such as Apolipoprotein E, Amyotrophic lateral sclerosis, Polymorphism and Haplotype with his study of Single-nucleotide polymorphism. He has researched Genetic association in several fields, including Allele frequency, Statistical power, Medical genetics, Glucose homeostasis and Genetic architecture. His study focuses on the intersection of Internal medicine and fields such as Surgery with connections in the field of B vitamins, Transient ischaemic attacks, Relative risk, Methylenetetrahydrofolate reductase and Homocysteine.
His primary scientific interests are in Genome-wide association study, Genetics, Internal medicine, Disease and Single-nucleotide polymorphism. His Genome-wide association study study incorporates themes from SNP, Meta-analysis, Genetic association, Locus and Heritability. His Genetic association research incorporates elements of Quantitative trait locus and Genetic architecture.
His Internal medicine research integrates issues from Endocrinology, Oncology and Pathology. His studies in Disease integrate themes in fields like Mendelian randomization, Cohort and Bioinformatics. His Single-nucleotide polymorphism study integrates concerns from other disciplines, such as Genotyping, Polymorphism, Allele frequency and Candidate gene.
Mike A. Nalls mainly focuses on Disease, Genome-wide association study, Gene, Genetics and Internal medicine. His work in Disease covers topics such as Mendelian randomization which are related to areas like Amyotrophic lateral sclerosis. His study on Genome-wide association study is covered under Single-nucleotide polymorphism.
In his research, Allele frequency is intimately related to Locus, which falls under the overarching field of Single-nucleotide polymorphism. His work on Linkage disequilibrium, Haplotype and Exome as part of general Genetics study is frequently linked to Context, bridging the gap between disciplines. His work focuses on many connections between Internal medicine and other disciplines, such as Oncology, that overlap with his field of interest in Odds ratio.
Mike A. Nalls focuses on Genetics, Genome-wide association study, Disease, Genetic association and Parkinson's disease. His Genetics research includes themes of Confounding and Renal function. His Genome-wide association study research is multidisciplinary, incorporating perspectives in SNP, HNF1A and Genetic marker.
His biological study spans a wide range of topics, including Odds ratio, Gene, Oncology and Cohort. His work deals with themes such as Genetic variability, Mendelian randomization and Heritability, which intersect with Genetic association. His Parkinson's disease research incorporates themes from Association test, Bioinformatics and Migraine.
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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)
Genome-Wide Association Study of Retinopathy in Individuals Without Diabetes
Richard A. Jensen;Xueling Sim;Xiaohui Li;Mary Frances Cotch.
PLOS ONE (2013)
A meta-analysis of genome-wide association studies identifies 17 new Parkinson's disease risk loci.
Diana Chang;Mike A Nalls;Ingileif B Hallgrímsdóttir;Julie Hunkapiller.
Nature Genetics (2017)
Common genetic variants influence human subcortical brain structures.
Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez.
Genome-wide association analyses identify 18 new loci associated with serum urate concentrations
Anna Köttgen;Anna Köttgen;Eva Albrecht;Alexander Teumer;Veronique Vitart.
Nature Genetics (2013)
Comprehensive Research Synopsis and Systematic Meta- Analyses in Parkinson's Disease Genetics: The PDGene Database
Christina M. Lill;Johannes T. Roehr;Johannes T. Roehr;Matthew B. McQueen;Fotini K. Kavvoura;Fotini K. Kavvoura;Fotini K. Kavvoura.
PLOS Genetics (2012)
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)
Thirty new loci for age at menarche identified by a meta-analysis of genome-wide association studies
Cathy E. Elks;John R B Perry;Patrick Sulem;Daniel I. Chasman.
Nature Genetics (2010)
Evidence for natural antisense transcript-mediated inhibition of microRNA function.
Mohammad Ali Faghihi;Ming Zhang;Jia Huang;Farzaneh Modarresi.
Genome Biology (2010)
Multiple loci influence erythrocyte phenotypes in the CHARGE Consortium
Santhi K. Ganesh;Santhi K. Ganesh;Neil A. Zakai;Frank J A Van Rooij;Nicole Soranzo;Nicole Soranzo.
Nature Genetics (2009)
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