As I have become more immersed into New York City and
clinical life, my mentor and I have been working on developing a project around
a genetic disorder called Bloom’s Syndrome. This disease causes sun sensitive
skin that can develop lesions generally limited to the face, growth and immune deficiencies,
insulin resistance, and increased risk for cancer. The mechanism for these symptoms
lies in the genetic instability that arises from mutations to the BLM gene.
We all carry a set of genetic material in the form of
chromosomes from our parents. The DNA in these chromosomes can get all jumbled
up if mutations form in the genome. As these chromosomes break and reassemble,
valuable information that keeps the body running properly on the molecular
level can be lost. This process causes some of the symptoms seen in people with
Bloom’s Syndrome. The BLM gene encodes for a type of protein called a helicase.
Helicases are important for chromosome stability and genetic remodeling. When
these proteins do not function properly, parts of one chromosome could transfer
to another and the information on those chromosomes could be subjected to the
process mentioned above.
In Bloom’s syndrome, the mutations seen are inherited by one
common ancestor as an autosomal recessive disorder. This means that both parents
need to carry the mutation to pass on the disorder to their children. Often
this is a 25% chance that the child will inherit the disorder and a 50% chance
that they will become a carrier for the disease. Since this disease has a high
cancer risk and is prevalent in specific communities such as Ashkenazi Jews
(the blmAsh mutation), a registry of current clinical literature on
the disease and patients affected by the disease along with their specific
mutation has been documented.
The Bloom’s Syndrome Registry is also the type of
information that can be used for applications like Face2Gene which uses machine
learning to correlate facial features to possible genetic disorders. My task
with this registry is to work with my mentor to update information, analyze
some of the new and old data to gain some new insights on the prevalence of
certain mutations and which communities might be most affected.
I am halfway done with Immersion and part two of the NYC
experience is about to commence!
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