His main research concerns Genetics, Evolutionary biology, Genome, Haplotype and Human genome. His research related to Denisovan, Single-nucleotide polymorphism, Genetic association, Population stratification and Genome-wide association study might be considered part of Genetics. His study in Evolutionary biology is interdisciplinary in nature, drawing from both Statistic, Ancient DNA, Test statistic and Genomics.
His studies in Genome integrate themes in fields like Computational biology and Hominidae. His Haplotype research is multidisciplinary, incorporating perspectives in MSMB and Prostate cancer. His work deals with themes such as Natural selection and Biological dispersal, which intersect with Human genome.
Nick Patterson mostly deals with Genetics, Evolutionary biology, Genome, Genome-wide association study and Single-nucleotide polymorphism. His Genetics study which covers Genetic admixture that intersects with Gene mapping. The study incorporates disciplines such as Selection, Genomics, Neanderthal, Denisovan and Gene flow in addition to Evolutionary biology.
The concepts of his Neanderthal study are interwoven with issues in Ancient DNA and Neanderthal genome project. His Genome-wide association study study combines topics from a wide range of disciplines, such as Population stratification, Case-control study, Disease, Genetic association and Computational biology. His study in Single-nucleotide polymorphism is interdisciplinary in nature, drawing from both Quantitative trait locus and Heritability.
Nick Patterson mainly focuses on Ancient DNA, Evolutionary biology, Genetics, Steppe and Ethnology. The various areas that Nick Patterson examines in his Ancient DNA study include Radiocarbon dating, Archaeology, Contamination, Statistics and Nuclear DNA. His Evolutionary biology study incorporates themes from Genome-wide association study, Genome, Genomics, Neanderthal and Gene flow.
His study ties his expertise on Missing data together with the subject of Genetics. His studies examine the connections between Steppe and genetics, as well as such issues in Mediterranean climate, with regards to Immigration and Balearic islands. In Ethnology, Nick Patterson works on issues like Prehistory, which are connected to Population genetics, Period, Social stratification, Islam and Genetic differentiation.
The scientist’s investigation covers issues in Evolutionary biology, Genome, Ethnology, Gene flow and Bronze Age. The Evolutionary biology study combines topics in areas such as Effective population size, Genome-wide association study, Single-nucleotide polymorphism, Lineage and Genomics. His Genome-wide association study study improves the overall literature in Gene.
His Single-nucleotide polymorphism research is multidisciplinary, incorporating perspectives in Adaptation, Genetic drift and Computational biology. He combines subjects such as Coalescent theory, Phylogenetic tree, Introgression, Locus and Heliconius with his study of Gene flow. His work on Chalcolithic as part of his general Bronze Age study is frequently connected to Pastoralism, thereby bridging the divide between different branches of science.
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Principal components analysis corrects for stratification in genome-wide association studies
Alkes L Price;Alkes L Price;Nick J Patterson;Robert M Plenge;Robert M Plenge;Michael E Weinblatt.
Nature Genetics (2006)
PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes
Vamsi K Mootha;Cecilia M Lindgren;Cecilia M Lindgren;Karl-Fredrik Eriksson;Aravind Subramanian.
Nature Genetics (2003)
A haplotype map of the human genome
John W. Belmont;Andrew Boudreau;Suzanne M. Leal;Paul Hardenbol.
(2005)
A second generation human haplotype map of over 3.1 million SNPs
Kelly A. Frazer;Dennis G. Ballinger;David R. Cox;David A. Hinds.
(2007)
Population structure and eigenanalysis
Nick Patterson;Alkes Price;Alkes Price;David Emil Reich;David Emil Reich.
PLOS Genetics (2006)
A Draft Sequence of the Neandertal Genome
Richard E. Green;Johannes Krause;Adrian W. Briggs;Tomislav Maricic.
Science (2010)
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)
Large-Scale Copy Number Polymorphism in the Human Genome
Jonathan Sebat;B. Lakshmi;Jennifer Troge;Joan Alexander.
Science (2004)
An atlas of genetic correlations across human diseases and traits.
Brendan Bulik-Sullivan;Brendan Bulik-Sullivan;Hilary K Finucane;Verneri Anttila;Verneri Anttila;Alexander Gusev.
Nature Genetics (2015)
Initial sequence of the chimpanzee genome and comparison with the human genome
Tarjei S. Mikkelsen;LaDeana W. Hillier.
Nature (2005)
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