Systematic genome-wide approach to positional candidate cloning for identification of novel human disease genes

H. Kiyosawa, T. Kawashima, D. Silva, N. Petrovsky, Y. Hasegawa, K. Sakai, Y. Hayashizaki

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Background: Recent large-scale genome projects afford a unique opportunity to identify many novel disease genes and thereby better understand the genetic basis of human disease. Functional Annotation of Mouse (FANTOM) 2, the largest mouse transcriptome project yet, provides a wealth of data on novel genes, splice variants and non-coding RNA, and provides a unique opportunity to identify novel human disease genes. Aims: To demonstrate the power of combining the FANTOM 2 cDNA dataset with a positional candidate approach and bioinformatics analysis to identify genes underlying human genetic disease. Results: By mapping all FANTOM 2 cDNA to the human genome, we were able to identify mouse clones that co-localised on the human genome with mapped but uncloned human disease loci. By this method we identified mouse and corresponding human genes mapping within the loci of 100 different human genetic diseases (mapped interval of <5 cM). Of particular interest was the elucidation through FANTOM 2 novel mouse gene data of candidate human genes for the following: (i) developmental disorders: neural tube defect, Meckel syndrome, Wolf-Hirschhorn syndrome and keratosis follicularis spinulosa decalvans cum ophiasi; (ii) neurological disorders: benign familial infantile convulsions 3, early-onset cerebellar ataxia with retained tendon reflexes, infantile-onset spinocerebellar ataxia and vacuolar neuromyopathy and (iii) cancer-related syndromes: tylosis with oesophageal cancer and low-grade B-cell chronic lymphatic leukaemia. Conclusions: The FANTOM 2 data will dramatically accelerate efforts to identify genes underlying human disease. It will also facilitate the creation of transgenic mouse models to help elucidate the function of potential human disease genes.

Original languageEnglish
Pages (from-to)79-90
Number of pages12
JournalInternal Medicine Journal
Volume34
Issue number3
DOIs
Publication statusPublished - 1 Mar 2004
Externally publishedYes

Keywords

  • Genetic disease
  • Genomics
  • Positional cloning
  • Transcriptome

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