Public release date: 5-Mar-2012 [ | E-mail | Share ]

Contact: Emma Thorne emma.thorne@nottingham.ac.uk 44-115-951-5793 University of Nottingham

Scientists at The University of Nottingham have used a revolutionary new DNA-reading technology for a research project that could lead to correct genetic diagnosis for muscle-wasting diseases.

The technique could be used to offer people with muscular dystrophy, or a related neuromuscular condition, a more accurate prognosis, which would enable them to make more informed choices on life decisions, including family planning.

The researchers used a next-generation DNA sequencing machine to investigate the condition of a patient who had previously been misdiagnosed with the wrong type of muscular dystrophy.

The research, led by Professor Jane Hewitt in the University's School of Biology, was funded by the Muscular Dystrophy Campaign through a PhD studentship for Andreas Leidenroth.

Andreas said: "Our case study demonstrates how genetic diagnostics will be done in the future. New DNA sequencing machines will be cheap to run, easy to use, fit on a desk and decode an entire human genome in minutes. High-throughout DNA sequencing in the NHS is no longer a question of 'if', but of 'when'. The biggest challenge will be to develop standardised filtering guidelines so that we can easily extract medically relevant information from these large DNA datasets."

The study, published in the European Journal of Human Genetics, focused on a person who had previously been diagnosed with facioscapulohumeral muscular dystrophy (FSHD) a type of muscular dystrophy that predominantly affects muscles of the face, shoulder and upper arm. However, when the researchers studied her DNA more closely they found several inconsistencies and realised that she was highly unlikely to have FSHD.

To gain a genetic diagnosis for this, traditionally genes known to be involved in muscular dystrophies would have to be tested one by one, which can be a laborious and time consuming process. This would also have limited the search to a small number of genes and risked missing the mutation.

Instead, the Nottingham team used whole genome sequencing which, rather than reading the code of a single gene at a time, can simultaneously decipher the more than 25,000 genes of the human genome. This had the advantage of almost guaranteeing to examine the mutated gene but also poses a serious challenge: human DNA can vary from one person to the next so how could they tell which was a harmful genetic mutation rather than a harmless 'spelling difference' unique to that person?

Read more:
Next-generation DNA sequencing to improve diagnosis for muscular dystrophy