His main research concerns Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Schizophrenia. The concepts of his Genome-wide association study study are interwoven with issues in Linkage disequilibrium, Expression quantitative trait loci, Allele, ANK3 and Genetic architecture. The concepts of his Genetic association study are interwoven with issues in Imputation, International HapMap Project, Data mining and Genetic variation.
His studies examine the connections between Data mining and genetics, as well as such issues in Identity by descent, with regards to Linkage. Shaun Purcell works mostly in the field of Single-nucleotide polymorphism, limiting it down to concerns involving Haplotype and, occasionally, Epigenetics of diabetes Type 2 and CDKAL1. His Schizophrenia research incorporates themes from Major depressive disorder, Bipolar disorder and Meta-analysis.
His scientific interests lie mostly in Genetics, Genome-wide association study, Single-nucleotide polymorphism, Genetic association and Gene. His Genetics study integrates concerns from other disciplines, such as Bipolar disorder and Schizophrenia. His Bipolar disorder research includes themes of Major depressive disorder, Genetic heterogeneity and ANK3.
His Genome-wide association study study combines topics from a wide range of disciplines, such as Bioinformatics, Exome, Locus, Genetic variation and Genetic architecture. In his work, Case-control study is strongly intertwined with Odds ratio, which is a subfield of Single-nucleotide polymorphism. The various areas that Shaun Purcell examines in his Genetic association study include Population stratification, Imputation, Quantitative trait locus and Heritability.
His primary areas of investigation include Genetics, Genome-wide association study, Gene, Schizophrenia and Sleep in non-human animals. Shaun Purcell integrates many fields, such as Genetics and Variation, in his works. His biological study deals with issues like Genetic variation, which deal with fields such as Endocrinology, Hypoxemia, Polymorphism, Sleep apnea and IL18R1.
Shaun Purcell has researched Gene in several fields, including Computational biology and Disease. His Schizophrenia research includes elements of Mendelian randomization, Major depressive disorder, Bipolar disorder, Depression and Intellectual disability. Shaun Purcell usually deals with Genetic association and limits it to topics linked to Linkage disequilibrium and Etiology, European descent and Genetic variants.
Shaun Purcell mainly investigates Genome-wide association study, Schizophrenia, Disease, Obstructive sleep apnea and Polysomnography. His work carried out in the field of Genome-wide association study brings together such families of science as Bioinformatics, Sleep in non-human animals, Expression quantitative trait loci, Imputation and Computational biology. His biological study spans a wide range of topics, including Genetics, Mendelian randomization, Bipolar disorder, Psychosis and Major depressive disorder.
Shaun Purcell regularly links together related areas like Age of onset in his Genetics studies. His work in Mendelian randomization addresses issues such as Dopamine binding, which are connected to fields such as Cognition, Genetic association and Linkage disequilibrium. His Disease study combines topics in areas such as Chromosomal region, Genetic admixture, Apnea–hypopnea index, Genetic genealogy and Single-nucleotide polymorphism.
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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.
Second-generation PLINK: rising to the challenge of larger and richer datasets
Christopher C. Chang;Carson C. Chow;Laurent C.A.M. Tellier;Shashaank Vattikuti.
A haplotype map of the human genome
John W. Belmont;Andrew Boudreau;Suzanne M. Leal;Paul Hardenbol.
A second generation human haplotype map of over 3.1 million SNPs
Kelly A. Frazer;Dennis G. Ballinger;David R. Cox;David A. Hinds.
Common polygenic variation contributes to risk of schizophrenia and bipolar disorder
Shaun M. Purcell;Shaun M. Purcell;Naomi R. Wray;Jennifer L. Stone;Jennifer L. Stone;Peter M. Visscher.
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)
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
Elizabeth K. Speliotes;Elizabeth K. Speliotes;Cristen J. Willer;Sonja I. Berndt;Keri L. Monda.
Nature Genetics (2010)
Genome-Wide Association Analysis Identifies Loci for Type 2 Diabetes and Triglyceride Levels
Richa Saxena;Benjamin F. Voight;Valeriya Lyssenko;Noël P. Burtt.
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