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Integrative analysis for finding genes and networks involved in diabetes and other complex diseases

Bergholdt, Regine (author)
Storling, Zenia M. (author)
Lage, Kasper (author)
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Karlberg, E. Olof (author)
Olason, Pall I. (author)
Aalund, Mogens (author)
Nerup, Jörn (author)
Lund University,Lunds universitet,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Department of Clinical Sciences, Lund,Faculty of Medicine
Brunak, Soren (author)
Workman, Christopher T. (author)
Pociot, Flemming (author)
Lund University,Lunds universitet,Institutionen för kliniska vetenskaper, Malmö,Medicinska fakulteten,Department of Clinical Sciences, Malmö,Faculty of Medicine
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 (creator_code:org_t)
Springer Science and Business Media LLC, 2007
2007
English.
In: Genome Biology. - : Springer Science and Business Media LLC. - 1474-7596 .- 1465-6906. ; 8:11
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • We have developed an integrative analysis method combining genetic interactions, identified using type l diabetes genome scan data, and a high-confidence human protein interaction network. Resulting networks were ranked by the significance of the enrichment of proteins from interacting regions. We identified a number of new protein network modules and novel candidate genes/ proteins for type 1 diabetes. We propose this type of integrative analysis as a general method for the elucidation of genes and networks involved in diabetes and other complex diseases.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Annan klinisk medicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Other Clinical Medicine (hsv//eng)

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