2022 - Research.com Best Scientist Award
2014 - Member of the National Academy of Medicine (NAM)
2014 - Curt Stern Award, American Society of Human Genetics
His primary scientific interests are in Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Human genome. The concepts of his Genome-wide association study study are interwoven with issues in Internal medicine, Imputation, Computational biology, Type 2 diabetes and Genetic architecture. His study in Genetic association is interdisciplinary in nature, drawing from both Body mass index, Genetic heterogeneity and Heritability.
As a part of the same scientific study, Gonçalo R. Abecasis usually deals with the Single-nucleotide polymorphism, concentrating on Case-control study and frequently concerns with Genotype and Macular degeneration. His Human genome study integrates concerns from other disciplines, such as Genetic variation and Genomics. His Genetic variation study also includes
His scientific interests lie mostly in Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Gene. Genetics is represented through his Locus, Genotype, Allele, Quantitative trait locus and Haplotype research. The various areas that Gonçalo R. Abecasis examines in his Genome-wide association study study include Bioinformatics, Genetic variation, Internal medicine, Imputation and Computational biology.
His Computational biology research is multidisciplinary, relying on both Genome and Genomics. His research in Genomics tackles topics such as 1000 Genomes Project which are related to areas like Exome sequencing. His Genetic association research integrates issues from Linkage disequilibrium, Meta-analysis, Genotyping, Exome and Genetic architecture.
Gonçalo R. Abecasis spends much of his time researching Genome-wide association study, Genetics, Genetic association, Computational biology and Gene. The Genome-wide association study study combines topics in areas such as Bioinformatics, Quantitative trait locus, Meta-analysis, Disease and Locus. His Genetic variation, Genome, Single-nucleotide polymorphism, Medical genetics and Allele study are his primary interests in Genetics.
His study on Genetic association also encompasses disciplines like
Genome-wide association study, Genetics, Computational biology, Genetic association and Genotype are his primary areas of study. His Genome-wide association study research is multidisciplinary, incorporating elements of Allele frequency, Medical genetics, Quantitative trait locus, Genetic architecture and Imputation. His work deals with themes such as Meta-analysis and Cholesterol, which intersect with Genetics.
He interconnects Genome, Data visualization, MEDLINE and Statistical power in the investigation of issues within Computational biology. He has researched Genetic association in several fields, including Sample, Data mining, Regression and Age of onset. His Genotype study combines topics from a wide range of disciplines, such as Biobank, Blood lipids, Exome, Behavioural genetics and Neuroscience.
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The Sequence Alignment/Map format and SAMtools
Heng Li;Bob Handsaker;Alec Wysoker;Tim Fennell.
An integrated map of genetic variation from 1,092 human genomes
Goncalo R Abecasis;Adam Auton;Lisa D Brooks.
A global reference for human genetic variation.
Adam Auton;Gonçalo R. Abecasis;David M. Altshuler;Richard M. Durbin.
The variant call format and VCFtools
Petr Danecek;Adam Auton;Goncalo Abecasis;Cornelis A. Albers.
A Map of Human Genome Variation From Population-Scale Sequencing
Gonçalo R Abecasis;David Altshuler;David Altshuler;Adam Auton.
The International HapMap Project
John W. Belmont;Paul Hardenbol;Thomas D. Willis;Fuli Yu.
Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project
Ewan Birney;John A. Stamatoyannopoulos;Anindya Dutta;Roderic Guigó.
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.
Merlin--rapid analysis of dense genetic maps using sparse gene flow trees.
Gonçalo R. Abecasis;Stacey S. Cherny;William O. Cookson;Lon R. Cardon.
Nature Genetics (2002)
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