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Related Concept Videos

Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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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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Genome-wide Association Studies-GWAS01:11

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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What is Population Genetics?01:25

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A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
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Human Genetics01:28

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Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
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Genetics meets proteomics: perspectives for large population-based studies.

Karsten Suhre1, Mark I McCarthy2,3,4,5, Jochen M Schwenk6

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Summary

Proteomic analysis reveals how proteins link genetic and environmental factors to human diseases. This research explores plasma proteome data for new drug targets and biomarkers, highlighting future directions for large-scale studies.

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Area of Science:

  • Human biology
  • Proteomics
  • Genetics

Background:

  • Proteomic analysis offers insights into human biology and disease mechanisms.
  • Proteins act as intermediate phenotypes, linking genetic and non-genetic risk factors to clinical outcomes.
  • Genome-wide proteomic data analysis is an emerging field.

Purpose of the Study:

  • To review current findings from plasma proteome studies.
  • To discuss the potential of proteomic data in advancing biomedical translation.
  • To explore the interpretation of genome-wide association analyses with proteomic data.

Main Methods:

  • Review of current literature on plasma proteomic studies.
  • Analysis of associations between protein levels and DNA sequence variants.
  • Discussion of technological challenges and future perspectives.

Main Results:

  • Proteomic data can expose disease-associated pathways.
  • Identification of potential novel drug targets and translational biomarkers.
  • Emerging genome-wide, population-scale analyses of proteomic data.

Conclusions:

  • Plasma proteome analysis is crucial for understanding disease mechanisms.
  • Integrating proteomic data with genome-wide association studies enhances biomedical translation.
  • Future large-scale biobank studies will benefit from technological advancements in proteomics.