2009 Vienna - European Society of Human Genetics
2009 Vienna - European Society of Human Genetics
2009 Vienna - European Society of Human Genetics
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Concurrent Symposia<br />
Monogenic diabetes accounts for 1-2% <strong>of</strong> diabetes with an estimated<br />
prevalence <strong>of</strong> up to 1/1000 in Europe. For some patients, defining the<br />
genetic aetiology <strong>of</strong> their diabetes may lead to improved treatment.<br />
Mild fasting hyperglycaemia resulting from heterozygous inactivating<br />
GCK mutations does not usually require pharmacological treatment<br />
and children misdiagnosed as having type 1 diabetes have been able<br />
to stop insulin injections without a deterioration in glycaemic control.<br />
Those patients with HNF1A or HNF4A mutations are sensitive to low<br />
dose oral sulphonylureas but may later progress to insulin.<br />
Heterozygous activating mutations in the KCNJ11 and ABCC8 genes<br />
encoding the Kir6.2 and SUR1 subunits <strong>of</strong> the beta-cell ATP sensitive<br />
potassium (K ATP ) channel account for around 50% <strong>of</strong> patients with permanent<br />
neonatal diabetes (PNDM) diagnosed in the first 6 months <strong>of</strong><br />
life. This discovery <strong>of</strong> the underlying genetic aetiology has dramatically<br />
improved treatment since most patients achieve improved glycaemic<br />
control upon transfer from insulin to high dose oral sulphonylureas.<br />
The challenge now is to educate health care pr<strong>of</strong>essionals to recognise<br />
monogenic subtypes <strong>of</strong> diabetes in order to maximise the benefits<br />
<strong>of</strong> a pharmacogenetic approach to treating diabetes.<br />
s04.3<br />
microRNAs: Functions in metabolism and therapeutic<br />
opportunities<br />
M. St<strong>of</strong>fel;<br />
Institute <strong>of</strong> Molecular Systems Biology, Swiss Federal Institute <strong>of</strong> Technology,<br />
ETH Zurich, Zürich, Switzerland.<br />
No abstract received as per date <strong>of</strong> printing. Please see www.eshg.<br />
org/eshg<strong>2009</strong> for updates.<br />
s05.1<br />
structural genomic variation<br />
C. Lee;<br />
Department <strong>of</strong> Pathology, Brigham and Women’s Hospital, EBRC 404A, Boston,<br />
MA, United States.<br />
No abstract received as per date <strong>of</strong> printing. Please see www.eshg.<br />
org/eshg<strong>2009</strong> for updates.<br />
s05.2<br />
Array-cGH in clinical practice: Fascination and frustration.<br />
K. Devriendt;<br />
Center for <strong>Human</strong> <strong>Genetics</strong>, University <strong>of</strong> Leuven, Leuven, Belgium.<br />
Array-CGH gradually is being integrated into the routine clinical practice<br />
to detect submicroscopic chromosomal imbalances. The first experience<br />
is one <strong>of</strong> fascination. In about 15% <strong>of</strong> cases with a “chromosomal”<br />
phenotype, an etiological diagnosis can now be reached.<br />
Mosaicism can be detected more easily, and chromosomal aberrations<br />
are characterized precisely. Improved genotype-phenotype correlations<br />
not only facilitates counselling and guidance, but also has lead to<br />
the elucidation <strong>of</strong> the genetic cause <strong>of</strong> several clinical disorder such as<br />
CHARGE and Pitt-Hopkins syndromes. More surprisingly, the field <strong>of</strong><br />
reverse phenotyping has emerged, where phenotyping <strong>of</strong> individuals<br />
sharing a similar imbalance has resulted in the delineation <strong>of</strong> novel<br />
recognisable entities.<br />
Now that the major technical issues <strong>of</strong> array-CGH have been solved,<br />
its application in clinical practice faces several challenges. In an attempt<br />
to decipher the large number <strong>of</strong> remaining unexplained cases,<br />
higher resolution arrays were applied, but met with limited success.<br />
It appears that many smaller imbalances cause a monogenic disorder,<br />
which had not been recognized clinically. The high number <strong>of</strong> rare<br />
variants poses major difficulties in the interpretation <strong>of</strong> found imbalances.<br />
Traditional cytogenetic criteria <strong>of</strong> pathogenicity such as size or<br />
de novo occurrence do not longer apply. Also, the distinction between<br />
pathogenic and polymorphic becomes blurred even further since many<br />
CNV’s act as susceptibility loci and in addition, the associated phenotypes<br />
vary in an unexplained way. Also, as a result <strong>of</strong> genome wide<br />
screening, the clinician will be confronted with unexpected results that<br />
may have important implications for the person and his family. These<br />
issues will have to be considered before one can apply array-CGH in<br />
prenatal diagnosis.<br />
s05.3<br />
mitotic recombination in leukaemia<br />
B. D. Young, M. Raghavan, M. Gupta;<br />
Cancer Research UK , Barts and Royal London School <strong>of</strong> Medicine, Medical<br />
Oncology Unit, Cancer Genomics Group, London, United Kingdom.<br />
The introduction <strong>of</strong> array-based analysis <strong>of</strong> single nucleotide polymorphisms<br />
(SNPs) allows the rapid determination <strong>of</strong> many thousands <strong>of</strong><br />
allelotypes in a human DNA sample. This technology is particularly<br />
suited to the study <strong>of</strong> changes that take place during the development<br />
<strong>of</strong> cancer. For example, regions <strong>of</strong> tumour-associated loss <strong>of</strong> heterozygosity<br />
(LOH) can be detected as by comparison with germline DNA<br />
from the same individual. Since this approach also yields copy number<br />
information it is possible to determine the probable source <strong>of</strong> LOH.<br />
The application <strong>of</strong> SNP genotype arrays to acute myeloid leukaemia<br />
(AML) unexpectedly uncovered large regions <strong>of</strong> acquired homozygosity<br />
which were not associated with copy number gain or loss and which<br />
cannot be detected by conventional cytogenetics. This phenomenon,<br />
which <strong>of</strong>ten continues to the telomere, has been termed acquired uniparental<br />
disomy (aUPD) and is the consequence <strong>of</strong> a mitotic recombination<br />
event occurring during the evolution <strong>of</strong> the cancer. In a large<br />
study we have demonstrated that there is a distinct pattern <strong>of</strong> aUPD<br />
in approximately 17% <strong>of</strong> AML with certain regions being preferentially<br />
affected. Furthermore we have shown that certain gene mutations are<br />
being rendered homozygous by the mitotic recombination event, including<br />
FLT3, WT1and CEBPA. These data strongly suggest that the<br />
mutation precedes mitotic recombination [1].<br />
A relatively large proportion <strong>of</strong> AML patients will relapse with resistant<br />
disease. Recently we have applied SNP array analysis to serial<br />
leukaemia samples including both presentation and relapse material<br />
in order to determine whether mitotic recombination could have a role<br />
in disease evolution. It was observed that up to 40% <strong>of</strong> AML at relapse<br />
should evidence <strong>of</strong> aUPD frequently affecting chromosome 13q and<br />
involving mutations to FLT3. This suggests that mitotic recombination<br />
events could have an important role in the evolution <strong>of</strong> AML [2]<br />
References<br />
1. Gupta, M., Raghavan, M., Gale, R.E., Chelala, C., Allen, C., Molloy,<br />
G., Chaplin, T., Linch, D.C., Cazier, J.B., and Young, B.D., Novel<br />
regions <strong>of</strong> acquired uniparental disomy discovered in acute myeloid<br />
leukemia. Genes Chromosomes Cancer, 2008. 47(9): p. 729-39.<br />
2. Raghavan, M., Smith, L.L., Lillington, D.M., Chaplin, T., Kakkas,<br />
I., Molloy, G., Chelala, C., Cazier, J.B., Cavenagh, J.D., Fitzgibbon,<br />
J., Lister, T.A., and Young, B.D., Segmental uniparental disomy is a<br />
commonly acquired genetic event in relapsed acute myeloid leukemia.<br />
Blood, 2008. 112(3): p. 814-21.<br />
s06.1<br />
<strong>Genetics</strong> <strong>of</strong> human autoimmune disease<br />
D. Hafler;<br />
Brigham and Women’s Hospital and Harvard Medical School, Division <strong>of</strong><br />
Molecular Immunology,Center for Neurologic Diseases, Boston, MA, United<br />
States.<br />
No abstract received as per date <strong>of</strong> printing. Please see www.eshg.<br />
org/eshg<strong>2009</strong> for updates.<br />
s06.2<br />
Genome-wide association studies <strong>of</strong> obesity and height: What<br />
have we learned?<br />
J. Hirschhorn1,2 , for the GIANT Consortium;<br />
1Department <strong>of</strong> <strong>Genetics</strong>, Children’s Hospital/Harvard Medical School, Boston,<br />
MA, United States, 2Broad Institute, Cambridge, MA, United States.<br />
Genome-wide association (GWA) studies have been used to map loci<br />
at which common genetic variants are associated with polygenic traits<br />
and diseases. However, the modest effects <strong>of</strong> these common variants<br />
has meant that mapping and validating associated loci requires large<br />
numbers <strong>of</strong> samples and collaborations. We have taken a collaborative<br />
approach and are using GWA studies representing over 100,000<br />
individuals to identify common variants associated with anthropometric<br />
traits, including height and measures <strong>of</strong> obesity. Earlier iterations <strong>of</strong><br />
these efforts, involving studies <strong>of</strong> up to 30,000 samples, successfully<br />
identified 10 loci for body mass index and over 40 loci for height. These<br />
results have implicated both expected and novel biological pathways,<br />
and have highlighted the role <strong>of</strong> central nervous system in regulating<br />
body weight as well as several distinct pathways in the regulation <strong>of</strong>