What is he best known for?
The fields of study he is best known for:
Alkes L. Price mostly deals with Genetics, Genome-wide association study, Genetic association, Computational biology and Heritability.
His Population genetics research extends to the thematically linked field of Genetics.
His work deals with themes such as Quantitative trait locus, Genetic correlation and Disease, which intersect with Genome-wide association study.
His Genetic association research is multidisciplinary, relying on both Imputation, Bipolar disorder, Regression and Comorbidity.
As part of one scientific family, Alkes L. Price deals mainly with the area of Heritability, narrowing it down to issues related to the SNP, and often Medical research, Epidemiology of cancer and Data science.
His study explores the link between Population stratification and topics such as Genetic genealogy that cross with problems in Evolutionary biology, Ancestry-informative marker, Spurious relationship and Population structure.
His most cited work include:
- Principal components analysis corrects for stratification in genome-wide association studies (7332 citations)
- Principal components analysis corrects for stratification in genome-wide association studies (7332 citations)
- Biological insights from 108 schizophrenia-associated genetic loci (4834 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Genetics, Genome-wide association study, Heritability, Single-nucleotide polymorphism and Genetic association.
His study in Genetics is interdisciplinary in nature, drawing from both Evolutionary biology and Population genetics.
His Genome-wide association study study integrates concerns from other disciplines, such as Quantitative trait locus, Statistics, Computational biology and Disease.
His study focuses on the intersection of Heritability and fields such as Regression with connections in the field of Annotation.
His Single-nucleotide polymorphism research is multidisciplinary, incorporating elements of Genetic correlation, Allele and Human genetics.
He combines subjects such as Population stratification, Threshold model, Allele frequency and Imputation with his study of Genetic association.
He most often published in these fields:
- Genetics (73.00%)
- Genome-wide association study (68.87%)
- Heritability (50.41%)
What were the highlights of his more recent work (between 2018-2021)?
- Heritability (50.41%)
- Computational biology (34.44%)
- Genome-wide association study (68.87%)
In recent papers he was focusing on the following fields of study:
Alkes L. Price focuses on Heritability, Computational biology, Genome-wide association study, Single-nucleotide polymorphism and Gene.
His Heritability study falls within the topics of Genetics and Evolutionary biology.
Alkes L. Price combines Genetics and Pathogenicity in his research.
His Computational biology research incorporates themes from SNP, Genome, Epigenomics, Imputation and Cell type.
The various areas that Alkes L. Price examines in his Genome-wide association study study include Diabetic retinopathy, Glycemic, Diabetes mellitus, Schizophrenia and Genetic association.
His Single-nucleotide polymorphism research is multidisciplinary, incorporating perspectives in Human genetics and Functional genomics.
Between 2018 and 2021, his most popular works were:
- Leveraging Polygenic Functional Enrichment to Improve GWAS Power (258 citations)
- Leveraging Polygenic Functional Enrichment to Improve GWAS Power (258 citations)
- Extreme Polygenicity of Complex Traits Is Explained by Negative Selection (56 citations)
In his most recent research, the most cited papers focused on:
Alkes L. Price spends much of his time researching Heritability, Trait, Single-nucleotide polymorphism, Biobank and Computational biology.
Alkes L. Price integrates many fields, such as Trait and Evolutionary biology, in his works.
His research in Single-nucleotide polymorphism is mostly focused on Genome-wide association study.
The Genome-wide association study study combines topics in areas such as Internal medicine, Gene expression and Oncology.
His Biobank research integrates issues from SNP and Posterior mean.
His Gene study is focused on Genetics in general.
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