His primary areas of investigation include Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Gene. His research on Genetics frequently links to adjacent areas such as Disease. His Genome-wide association study research includes themes of Schizophrenia, Bipolar disorder, Meta-analysis, Heritability and Genetic architecture.
His research integrates issues of Genome, International HapMap Project, Imputation, Human genetics and Candidate gene in his study of Genetic association. The concepts of his International HapMap Project study are interwoven with issues in Population stratification, Linkage, Data mining and Identity by descent. His Single-nucleotide polymorphism study integrates concerns from other disciplines, such as Immunology, Neurodevelopmental disorder, Genetic linkage, Locus and Haplotype.
The scientist’s investigation covers issues in Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Gene. His Genetics study focuses mostly on Exome sequencing, Exome, Allele, Genetic variation and Copy-number variation. His Genome-wide association study research includes themes of SNP, Schizophrenia, Attention deficit hyperactivity disorder, Heritability and Genetic architecture.
His work in Schizophrenia addresses issues such as Bipolar disorder, which are connected to fields such as Major depressive disorder. In his research, Whole genome sequencing is intimately related to Computational biology, which falls under the overarching field of Genetic association. The Single-nucleotide polymorphism study combines topics in areas such as Disease, Locus and Candidate gene.
His primary scientific interests are in Genome-wide association study, Genetics, Genetic association, Computational biology and Gene. Benjamin M. Neale interconnects SNP, Evolutionary biology, Heritability, Attention deficit hyperactivity disorder and Genetic architecture in the investigation of issues within Genome-wide association study. His research integrates issues of Meta-analysis, Autism spectrum disorder and Neurodevelopmental disorder in his study of Attention deficit hyperactivity disorder.
His Genetics research is multidisciplinary, incorporating perspectives in Bipolar disorder and Schizophrenia. His work carried out in the field of Genetic association brings together such families of science as Biobank, Mendelian randomization, Allele, Clinical psychology and Minor allele frequency. His Computational biology research incorporates elements of Structural variation, Genome, Whole genome sequencing and DNA sequencing.
His main research concerns Genome-wide association study, Genetics, Gene, Exome sequencing and Genetic association. His Genome-wide association study research includes elements of Evolutionary biology, Heritability, Clinical psychology, Cohort and Genetic architecture. His Genetics research is multidisciplinary, incorporating elements of Schizophrenia and Schizophrenia.
The various areas that he examines in his Gene study include Computational biology and Neuroscience. His studies in Exome sequencing integrate themes in fields like Amyotrophic lateral sclerosis, SOD1, Genotyping, Alzheimer's disease and Haplotype. His Genetic association study incorporates themes from Biobank, Data mining, Imputation, Imputation and Correlation and dependence.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses
Shaun Purcell;Shaun Purcell;Benjamin Neale;Benjamin Neale;Kathe Todd-Brown;Lori Thomas.
American Journal of Human Genetics (2007)
Analysis of protein-coding genetic variation in 60,706 humans
Monkol Lek;Konrad J. Karczewski;Konrad J. Karczewski;Eric V. Minikel;Eric V. Minikel;Kaitlin E. Samocha.
Biological insights from 108 schizophrenia-associated genetic loci
Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Aiden Corvin;James T. R. Walters.
Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis
Jordan W. Smoller;Kenneth Kendler;Nicholas John Craddock;Phil Hyoun Lee.
The Lancet (2013)
Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs
S. Hong Lee;Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Stephen V. Faraone.
Nature Genetics (2013)
LD score regression distinguishes confounding from polygenicity in genome-wide association studies :
Brendan K Bulik-Sullivan;Po-Ru Loh;Hilary K Finucane;Stephan Ripke.
Nature Genetics (2015)
Clonal Hematopoiesis and Blood-Cancer Risk Inferred from Blood DNA Sequence
Giulio Genovese;Anna K. Kähler;Robert E. Handsaker;Johan Lindberg.
The New England Journal of Medicine (2014)
Patterns and rates of exonic de novo mutations in autism spectrum disorders
Benjamin M. Neale;Yan Kou;Li Liu;Avi Ma'Ayan.
Synaptic, transcriptional and chromatin genes disrupted in autism
Silvia De Rubeis;Xin-Xin He;Arthur P Goldberg;Christopher S. Poultney.
Genome-wide association study identifies five new schizophrenia loci
Stephan Ripke;Alan R. Sanders;Kenneth S. Kendler;Douglas F. Levinson.
Nature Genetics (2011)
Profile was last updated on December 6th, 2021.
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