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.
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.
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.
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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Genome-wide associations for birth weight and correlations with adult disease
Momoko Horikoshi;Robin N. Beaumont;Felix R. Day;Nicole M. Warrington;Nicole M. Warrington.
Linear and threshold model genetic parameters for disease, fertility and milk production in dairy cattle
H. N. Kadarmideen;R. Thompson;G. Simm.
Animal Science (2000)
Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors
Nicole M Warrington;Robin N Beaumont;Momoko Horikoshi;Felix R Day.
Nature Genetics (2019)
Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index.
Janine F. Felix;Jonathan P. Bradfield;Claire Monnereau;Ralf J P Van Der Valk.
Human Molecular Genetics (2016)
Genetic parameters and evaluations from single- and multiple-trait analysis of dairy cow fertility and milk production
Haja N Kadarmideen;Robin Thompson;Michael P Coffey;Mohamad A Kossaibati.
Livestock Production Science (2003)
Multi-omic data integration and analysis using systems genomics approaches: methods and applications in animal production, health and welfare
Prashanth Suravajhala;Lisette J. A. Kogelman;Haja N. Kadarmideen.
Genetics Selection Evolution (2016)
Genetic Parameters for Body Condition Score and its Relationship with Type and Production Traits in Swiss Holsteins
H.N. Kadarmideen;S. Wegmann.
Journal of Dairy Science (2003)
Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle
Pamela A. Alexandre;Pamela A. Alexandre;Lisette J. A. Kogelman;Miguel H. A. Santana;Danielle Passarelli.
BMC Genomics (2015)
Genetic correlations among body condition score, somatic cell score, milk production, fertility and conformation traits in dairy cows
H. N. Kadarmideen.
Animal Science (2004)
From genetical genomics to systems genetics: potential applications in quantitative genomics and animal breeding
Haja N. Kadarmideen;Peter von Rohr;Luc L.G. Janss.
Mammalian Genome (2006)
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