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Large sample size, ...
Large sample size, wide variant spectrum, and advanced machine-learning technique boost risk prediction for inflammatory bowel disease
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- Wei, Zhi (författare)
- Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA
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- Wang, Wei (författare)
- Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA
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- Bradfield, Jonathan (författare)
- The Center for Applied Genomics, Abramson Research Center, The Children’s Hospital of Philadelphia, Philadelphia PA, USA
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- Li, Jin (författare)
- The Center for Applied Genomics, Abramson Research Center, The Children’s Hospital of Philadelphia, Philadelphia PA, USA
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- Cardinale, Christopher (författare)
- The Center for Applied Genomics, Abramson Research Center, The Children’s Hospital of Philadelphia, Philadelphia PA, USA
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- Frackelton, Edward (författare)
- The Center for Applied Genomics, Abramson Research Center, The Children’s Hospital of Philadelphia, Philadelphia PA, USA
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- Kim, Cecilia (författare)
- The Center for Applied Genomics, Abramson Research Center, The Children’s Hospital of Philadelphia, Philadelphia PA, USA
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- Mentch, Frank (författare)
- The Center for Applied Genomics, Abramson Research Center, The Children’s Hospital of Philadelphia, Philadelphia PA, USA
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- Van Steen, Kristel (författare)
- Systems andModeling Unit, Montefiore Institute, University of Liege, Liege, Belgium; Bioinformatics and Modeling, GIGA-R, University of Liege, Liege, Belgium
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- Visscher, Peter M. (författare)
- Queensland Brain Institute, The University of Queensland, Brisbane QLD, Australia; University of Queensland Diamantina Institute, The University of Queensland, Brisbane QLD, Australia
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- Baldassano, Robert N. (författare)
- Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia PA, USA
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- Hakonarson, Hakon (författare)
- The Center for Applied Genomics, Abramson Research Center, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA; Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia PA, USA
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IIBDGC the International IBD Genetics, Consortium (författare)
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- Halfvarson, Jonas, 1970- (bidragsgivare)
- Örebro universitet,Institutionen för medicinska vetenskaper,Department of Medicine, Örebro University Hospital, Örebro, Sweden
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(creator_code:org_t)
- University of Chicago Press, 2013
- 2013
- Engelska.
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Ingår i: American Journal of Human Genetics. - : University of Chicago Press. - 0002-9297 .- 1537-6605. ; 92:6, s. 1008-12
- Relaterad länk:
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https://doi.org/10.1...
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http://www.cell.com/...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- We performed risk assessment for Crohn's disease (CD) and ulcerative colitis (UC), the two common forms of inflammatory bowel disease (IBD), by using data from the International IBD Genetics Consortium's Immunochip project. This data set contains ~17,000 CD cases, ~13,000 UC cases, and ~22,000 controls from 15 European countries typed on the Immunochip. This custom chip provides a more comprehensive catalog of the most promising candidate variants by picking up the remaining common variants and certain rare variants that were missed in the first generation of GWAS. Given this unprecedented large sample size and wide variant spectrum, we employed the most recent machine-learning techniques to build optimal predictive models. Our final predictive models achieved areas under the curve (AUCs) of 0.86 and 0.83 for CD and UC, respectively, in an independent evaluation. To our knowledge, this is the best prediction performance ever reported for CD and UC to date.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Gastroenterologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Gastroenterology and Hepatology (hsv//eng)
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Wei, Zhi
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Wang, Wei
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Bradfield, Jonat ...
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Li, Jin
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Cardinale, Chris ...
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Frackelton, Edwa ...
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Kim, Cecilia
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Mentch, Frank
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Van Steen, Krist ...
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Visscher, Peter ...
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Baldassano, Robe ...
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Hakonarson, Hako ...
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IIBDGC the Inter ...
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Halfvarson, Jona ...
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Örebro universitet