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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>

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