SplicingCodes.com has identified KANSARL fusion gene as the first familially-inherited cancer fusion gene specific to the population of European ancestry origin

Miami, Florida, March 24, 2017

SplicingCodes.com today announces that its scientists, in collaboration with colleagues from USA and China, have identified the KANSARL fusion gene as the first familially-inherited cancer susceptible fusion gene specific to the population of European ancestry origin. The KANSARL fusion gene is also the cancer gene being discovered so far affecting the largest numbers of people and families. KANSARL is a fusion gene between KANSL1-ARL17A on the negative strand of 17q21.31 and is likely to encode the truncated KANSL1 protein, ...

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SCIF

identifies following fusion transcripts from RNA-seq

  • Inter- and intra- chromosomal translocations
  • Inversions
  • Deletions
  • Duplications
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KANSARL Fusion Gene

Our scientists, in collaboration with colleagues from USA and China, have identified the KANSARL fusion gene as the first familially-inherited cancer susceptible fusion gene specific to the population of European ancestry origin...

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For Events

We have generated over 1 million fusion transcripts. Next, we will analyze fusion transcripts from individual high-quality datasets. At our website, we will publish some high-recurrent biomarkers from these datasets to promote scientific researches. If you are interested in the detailed data, please contact us.
Alzheimer’s diseases ...
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SplicingCode Theory

Fellow Scientists:
We had formally proposed splicingcode model in 2007 and published it in 2012. Recently, we have used this model to analyze fusion transcripts and have identified over 1.1 million fusion transcripts. These large numbers of fusion transcripts have indirectly validated the splicingcode’s mathematics model ...
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For Volunteers

Dear Friends;
Welcome to SplicingCodes.com! We have identified over 1.1 million fusion transcripts, which are transcribed from two different genes and are joined together by chromosomal translocations, inversions, deletions, trans-splicing and read-through. Over 97% of these fusion transcripts are generally novel ....
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