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Prospects for the automated extraction of mutation data from the scientific literature.

  • Peter D Stenson‎ et al.
  • Human genomics‎
  • 2010‎

No abstract available


Methylation-mediated deamination of 5-methylcytosine appears to give rise to mutations causing human inherited disease in CpNpG trinucleotides, as well as in CpG dinucleotides.

  • David N Cooper‎ et al.
  • Human genomics‎
  • 2010‎

The cytosine-guanine (CpG) dinucleotide has long been known to be a hotspot for pathological mutation in the human genome. This hypermutability is related to its role as the major site of cytosine methylation with the attendant risk of spontaneous deamination of 5-methylcytosine (5mC) to yield thymine. Cytosine methylation, however, also occurs in the context of CpNpG sites in the human genome, an unsurprising finding since the intrinsic symmetry of CpNpG renders it capable of supporting a semi-conservative model of replication of the methylation pattern. Recently, it has become clear that significant DNA methylation occurs in a CpHpG context (where H = A, C or T) in a variety of human somatic tissues. If we assume that CpHpG methylation also occurs in the germline, and that 5mC deamination can occur within a CpHpG context, then we might surmise that methylated CpHpG sites could also constitute mutation hotspots causing human genetic disease. To test this postulate, 54,625 missense and nonsense mutations from 2,113 genes causing inherited disease were retrieved from the Human Gene Mutation Database (http://www.hgmd.org). Some 18.2 per cent of these pathological lesions were found to be C → T and G → A transitions located in CpG dinucleotides (compatible with a model of methylation-mediated deamination of 5mC), an approximately ten-fold higher proportion than would have been expected by chance alone. The corresponding proportion for the CpHpG trinucleotide was 9.9 per cent, an approximately two-fold higher proportion than would have been expected by chance. We therefore estimate that ∼5 per cent of missense/nonsense mutations causing human inherited disease may be attributable to methylation-mediated deamination of 5mC within a CpHpG context.


Identification of cancer predisposition variants in apparently healthy individuals using a next-generation sequencing-based family genomics approach.

  • Ioannis Karageorgos‎ et al.
  • Human genomics‎
  • 2015‎

Cancer, like many common disorders, has a complex etiology, often with a strong genetic component and with multiple environmental factors contributing to susceptibility. A considerable number of genomic variants have been previously reported to be causative of, or associated with, an increased risk for various types of cancer. Here, we adopted a next-generation sequencing approach in 11 members of two families of Greek descent to identify all genomic variants with the potential to predispose family members to cancer. Cross-comparison with data from the Human Gene Mutation Database identified a total of 571 variants, from which 47 % were disease-associated polymorphisms, 26 % disease-associated polymorphisms with additional supporting functional evidence, 19 % functional polymorphisms with in vitro/laboratory or in vivo supporting evidence but no known disease association, 4 % putative disease-causing mutations but with some residual doubt as to their pathological significance, and 3 % disease-causing mutations. Subsequent analysis, focused on the latter variant class most likely to be involved in cancer predisposition, revealed two variants of prime interest, namely MSH2 c.2732T>A (p.L911R) and BRCA1 c.2955delC, the first of which is novel. KMT2D c.13895delC and c.1940C>A variants are additionally reported as incidental findings. The next-generation sequencing-based family genomics approach described herein has the potential to be applied to other types of complex genetic disorder in order to identify variants of potential pathological significance.


The Human Gene Mutation Database: providing a comprehensive central mutation database for molecular diagnostics and personalized genomics.

  • Peter D Stenson‎ et al.
  • Human genomics‎
  • 2009‎

No abstract available


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