What is he best known for?
The fields of study he is best known for:
Haja N. Kadarmideen mainly investigates Genome-wide association study, Animal science, Genetics, Genetic correlation and Sire.
His studies deal with areas such as Birth weight, Phenotype, Genetic association, Missing heritability problem and Physiology as well as Genome-wide association study.
His research investigates the connection between Animal science and topics such as Heritability that intersect with problems in Fertility.
His studies link Residual feed intake with Genetics.
The Genetic correlation study combines topics in areas such as Feed conversion ratio and Ulna.
He has researched Candidate gene in several fields, including Genome, Proteomics, Quantitative trait locus, Expression quantitative trait loci and Human genetics.
His most cited work include:
- Genome-wide associations for birth weight and correlations with adult disease (257 citations)
- Linear and threshold model genetic parameters for disease, fertility and milk production in dairy cattle (181 citations)
- Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index. (178 citations)
What are the main themes of his work throughout his whole career to date?
Genetics, Gene, Quantitative trait locus, Single-nucleotide polymorphism and Genome-wide association study are his primary areas of study.
His study in Candidate gene, Gene expression, Expression quantitative trait loci, Genetic variation and Allele is carried out as part of his Genetics studies.
He usually deals with Candidate gene and limits it to topics linked to RNA-Seq and Dairy cattle and RNA.
His research investigates the link between Expression quantitative trait loci and topics such as Genomics that cross with problems in Systems biology.
His work focuses on many connections between Quantitative trait locus and other disciplines, such as Phenotype, that overlap with his field of interest in Obesity.
As a part of the same scientific family, he mostly works in the field of Genome-wide association study, focusing on Genetic association and, on occasion, Epistasis.
He most often published in these fields:
- Genetics (42.86%)
- Gene (19.23%)
- Quantitative trait locus (15.38%)
What were the highlights of his more recent work (between 2018-2021)?
- Genetics (42.86%)
- Gene (19.23%)
- Transcriptome (12.09%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Genetics, Gene, Transcriptome, Single-nucleotide polymorphism and Gene expression.
His study in Genetics concentrates on DNA methylation, Boar taint, Expression quantitative trait loci, Candidate gene and Genetic association.
He has included themes like Text mining and Circadian rhythm in his Gene study.
His research in Single-nucleotide polymorphism intersects with topics in Quantitative trait locus and Genetic variation.
His Gene expression research integrates issues from Gene interaction and Mitochondrial DNA.
His Genome-wide association study study combines topics from a wide range of disciplines, such as GABRG3 and Oncology.
Between 2018 and 2021, his most popular works were:
- Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors (129 citations)
- Detection of Co-expressed Pathway Modules Associated With Mineral Concentration and Meat Quality in Nelore Cattle. (12 citations)
- An Epigenome-Wide DNA Methylation Map of Testis in Pigs for Study of Complex Traits (10 citations)
In his most recent research, the most cited papers focused on:
Haja N. Kadarmideen mainly focuses on Genetics, Gene expression, RNA-Seq, Single-nucleotide polymorphism and Boar taint.
Many of his research projects under Genetics are closely connected to Fatty acid elongation with Fatty acid elongation, tying the diverse disciplines of science together.
His Gene expression study is focused on Gene in general.
His studies deal with areas such as Estrous cycle, Dairy cattle, Pregnancy Status, Andrology and Gestation as well as RNA-Seq.
His work on Genotyping by sequencing as part of general Single-nucleotide polymorphism research is frequently linked to Correction method and Simulated data, bridging the gap between disciplines.
His research integrates issues of RNA, Expression quantitative trait loci, Genetic variants, Androstenone and Genetic architecture in his study of Boar taint.
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