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Genomics02:02

Genomics

39.8K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Genomic Imprinting and Inheritance02:30

Genomic Imprinting and Inheritance

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Diploid organisms inherit genetic material through chromosomes from both parents. Copies of the same gene are known as alleles. In most cases, both alleles are simultaneously expressed and allow various cellular processes to function optimally. If one of the alleles is missing or mutated, the expression of the other allele can compensate; however, this is not true for all genes.
The expression of some genes depends on which parent passed the gene to the offspring, through a phenomenon known as...
36.9K
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

9.0K
While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
9.0K
Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes

15.1K
The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
15.1K
Genomic DNA in Prokaryotes00:46

Genomic DNA in Prokaryotes

48.3K
The genome of most prokaryotic organisms consists of double-stranded DNA organized into one circular chromosome in a region of cytoplasm called the nucleoid. The chromosome is tightly wound, or supercoiled, for efficient storage. Prokaryotes also contain other circular pieces of DNA called plasmids. These plasmids are smaller than the chromosome and often carry genes that confer adaptive functions, such as antibiotic resistance.
Genomic Diversity in Bacteria
Although bacterial genomes are much...
48.3K
Genomic DNA in Eukaryotes00:58

Genomic DNA in Eukaryotes

52.4K
Eukaryotes have large genomes compared to prokaryotes. To fit their genomes into a cell, eukaryotic DNA is packaged extraordinarily tightly inside the nucleus. To achieve this, DNA is tightly wound around proteins called histones, which are packaged into nucleosomes that are joined by linker DNA and coil into chromatin fibers. Additional fibrous proteins further compact the chromatin, which is recognizable as chromosomes during certain phases of cell division.
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Editorial: Population genomic architecture: Conserved polymorphic sequences (CPSs), not linkage disequilibrium.

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Genetics of Marbling in Wagyu Revealed by the Melting Temperature of Intramuscular and Subcutaneous Lipids.

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Haplotypes for Type, Degree, and Rate of Marbling in Cattle Are Syntenic with Human Muscular Dystrophy.

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Soma-to-germline feedback is implied by the extreme polymorphism at IGHV relative to MHC: The manifest polymorphism of the MHC appears greatly exceeded at Immunoglobulin loci, suggesting antigen-selected somatic V mutants penetrate Weismann's Barrier.

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Genomic evolution and polymorphism: segmental duplications and haplotypes at 108 regions on 21 chromosomes.

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Related Experiment Video

Updated: Jan 20, 2026

Use of Single Chain MHC Technology to Investigate Co-agonism in Human CD8+ T Cell Activation
12:09

Use of Single Chain MHC Technology to Investigate Co-agonism in Human CD8+ T Cell Activation

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MHC Genomics and Disease: Looking Back to Go Forward.

Roger L Dawkins1, Sally S Lloyd2

  • 1Centre for Innovation in Agriculture, Murdoch University and C Y O'Connor ERADE Village Foundation, North Dandalup 6207, Western Australia, Australia. rldawkins@cyo.edu.au.

Cells
|August 24, 2019
PubMed
Summary
This summary is machine-generated.

Ancestral haplotypes, conserved genetic sequences, influence disease susceptibility and resistance. Combining haplotype and SNP analysis offers a more effective approach for understanding genetic associations with diseases.

Keywords:
MHCancestral haplotypeautoimmune disease

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Area of Science:

  • Genetics
  • Population Genetics
  • Genomic Medicine

Background:

  • Ancestral haplotypes are highly conserved, polymorphic DNA sequences inherited over generations.
  • These haplotypes are linked to susceptibility and resistance to various diseases, including autoimmune conditions and enzyme deficiencies.
  • Current detection methods rely on ethnic segregation, differing from single nucleotide polymorphism (SNP) and Genome-Wide Association Studies (GWAS).

Purpose of the Study:

  • To propose a novel pathway for integrating ancestral haplotype analysis with SNP typing.
  • To address limitations and disappointments observed in traditional GWAS.
  • To enhance the understanding of genetic contributions to complex diseases.

Main Methods:

  • Identification of conserved ancestral haplotypes through methods beyond SNPs and GWAS.
  • Utilizing ethnic segregation patterns for haplotype detection.
  • Developing a combined approach integrating haplotype data with SNP typing.

Main Results:

  • Ancestral haplotypes are key determinants of disease associations, distinct from single-allele effects.
  • Specific alleles can be shared across multiple ancestral haplotypes, influencing diseases like ankylosing spondylitis and narcolepsy.
  • SNP typing proves most effective after initial definition of ancestral haplotypes.

Conclusions:

  • A combined approach of ancestral haplotype identification and SNP analysis is proposed.
  • This integrated strategy aims to improve the accuracy and utility of genetic association studies.
  • Understanding ancestral haplotypes is crucial for deciphering complex disease genetics and overcoming GWAS limitations.