Systems genetics approaches to understand complex traits

Details

• Alternative Title:
  Nat Rev Genet
• Personal Author:
  Civelek, Mete ; Lusis, Aldons J.
• Description:
  Systems genetics is an approach to understand the flow of biological information that underlies complex traits. It uses a range of experimental and statistical methods to quantitate and integrate intermediate phenotypes, such as transcript, protein or metabolite levels, in populations that vary for traits of interest. Systems genetics studies have provided the first global view of the molecular architecture of complex traits and are useful for the identification of genes, pathways and networks that underlie common human diseases. Given the urgent need to understand how the thousands of loci that have been identified in genome-wide association studies contribute to disease susceptibility, systems genetics is likely to become an increasingly important approach to understanding both biology and disease.
• Keywords:
  Animals Epistasis, Genetic Gene Expression Regulation Gene Regulatory Networks Genetic Loci Genetic Predisposition To Disease Genetic Techniques Genome-Wide Association Study Humans Models, Genetic Phenotype Systems Biology

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• Source:
  Nat Rev Genet. 2014; 15(1):34-48
• Pubmed ID:
  24296534
• Pubmed Central ID:
  PMC3934510
• Document Type:
  Journal Article
• Funding:
  HL094322/HL/NHLBI NIH HHSUnited States/ ; R01 HL094322/HL/NHLBI NIH HHSUnited States/ ; DP3D094311/DP/NCCDPHP CDC HHSUnited States/ ; R21 HL110667/HL/NHLBI NIH HHSUnited States/ ; HL28481/HL/NHLBI NIH HHSUnited States/ ; P01 HL028481/HL/NHLBI NIH HHSUnited States/ ; HL110667/HL/NHLBI NIH HHSUnited States/ ; T32HL69766/HL/NHLBI NIH HHSUnited States/ ; R01 HL123295/HL/NHLBI NIH HHSUnited States/ ; HL30568/HL/NHLBI NIH HHSUnited States/ ; P01 HL030568/HL/NHLBI NIH HHSUnited States/ ; T32 HL069766/HL/NHLBI NIH HHSUnited States/
• Volume:
  15
• Issue:
  1
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:3b58227547c119be808a4e8e41a67dc9533cb96f60aa9adc847d03364c1677fb
• Download URL:
  https://stacks.cdc.gov/view/cdc/29860/cdc_29860_DS1.pdf
• File Type:
  [PDF - 735.66 KB ]