Paul M. VanRaden

What is he best known for?

The fields of study he is best known for:

• Gene
• Statistics
• Genetics

His scientific interests lie mostly in Genetics, Dairy cattle, Single-nucleotide polymorphism, Genotype and Statistics. His work in the fields of Quantitative trait locus, Allele, Genetic linkage and Recombination hotspot overlaps with other areas such as Non-allelic homologous recombination. His biological study deals with issues like Biotechnology, which deal with fields such as Fertility, Pregnancy rate and Animal science.

His studies in Single-nucleotide polymorphism integrate themes in fields like Pseudoautosomal region, Recombination and Meiosis. His Nonlinear regression and Mixed model study, which is part of a larger body of work in Statistics, is frequently linked to Animal model, Best linear unbiased prediction and True breeding organism, bridging the gap between disciplines. His studies deal with areas such as Base population and Allele frequency as well as Inbreeding.

His most cited work include:

• Efficient Methods to Compute Genomic Predictions (2709 citations)
• Invited review: reliability of genomic predictions for North American Holstein bulls. (927 citations)
• Derivation, calculation, and use of national animal model information. (339 citations)

What are the main themes of his work throughout his whole career to date?

Paul M. VanRaden spends much of his time researching Genetics, Dairy cattle, Animal science, Quantitative trait locus and Statistics. His study in Single-nucleotide polymorphism, Genotype, Haplotype, Allele and Genotyping falls under the purview of Genetics. His Dairy cattle research focuses on subjects like Imputation, which are linked to Pedigree chart.

His Animal science study also includes fields such as

• Ice calving and related Heritability,
• Lactation and related Milking. His work deals with themes such as Genome-wide association study, Genetic marker, Locus, Computational biology and Candidate gene, which intersect with Quantitative trait locus. His work in the fields of Statistics, such as Reliability, intersects with other areas such as Variance and Animal model.

He most often published in these fields:

• Genetics (44.03%)
• Dairy cattle (27.61%)
• Animal science (19.40%)

What were the highlights of his more recent work (between 2016-2020)?

• Genetics (44.03%)
• Dairy cattle (27.61%)
• Genome-wide association study (8.96%)

In recent papers he was focusing on the following fields of study:

Genetics, Dairy cattle, Genome-wide association study, Candidate gene and Computational biology are his primary areas of study. The Single-nucleotide polymorphism, Allele, Genotype and Pleiotropy research he does as part of his general Genetics study is frequently linked to other disciplines of science, such as Epigenome, therefore creating a link between diverse domains of science. His Dairy cattle research incorporates elements of Phenotype, Fertility, Biotechnology and Animal breeding.

The study incorporates disciplines such as Quantitative trait locus and Offspring in addition to Genome-wide association study. His study looks at the intersection of Brown Swiss and topics like Ice calving with Animal science. As a member of one scientific family, Paul M. VanRaden mostly works in the field of Animal science, focusing on Inbreeding and, on occasion, Haplotype.

Between 2016 and 2020, his most popular works were:

• Selecting sequence variants to improve genomic predictions for dairy cattle (55 citations)
• Symposium review: Possibilities in an age of genomics: The future of selection indices. (47 citations)
• A Large-Scale Genome-Wide Association Study in U.S. Holstein Cattle. (23 citations)

In his most recent research, the most cited papers focused on:

• Gene
• Statistics
• Genetics

Paul M. VanRaden focuses on Genome-wide association study, Quantitative trait locus, Candidate gene, Dairy cattle and Genetics. In his study, Genetic variation and Imprinting is inextricably linked to Imputation, which falls within the broad field of Quantitative trait locus. His Candidate gene study combines topics from a wide range of disciplines, such as Computational biology and Genetic association.

The subject of his Dairy cattle research is within the realm of Animal science. His research in Single-nucleotide polymorphism and Allele are components of Genetics. His work in the fields of Single-nucleotide polymorphism, such as Indel, overlaps with other areas such as Percentage point.