European Human Genetics Conference 2007 June 16 – 19, 2007 ...
European Human Genetics Conference 2007 June 16 – 19, 2007 ...
European Human Genetics Conference 2007 June 16 – 19, 2007 ...
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Concurrent Symposia 1<br />
phomagenesis. I will also draw attention to pitfalls of the conditional<br />
gene targeting approach, which can lead to serious misinterpretations<br />
of experiments.<br />
S38. On principal & modifying genes in Hirschsprung disease<br />
A. Chakravarti;<br />
Center for Complex Disease Genomics, McKusick - Nathans Institute of Genetic<br />
Medicine, Johns Hopkins University School of Medicine, Baltimore, MD,<br />
United States.<br />
Hirschsprung disease (HSCR), or congenital aganglionosis, is a classical<br />
multifactorial disorder that has continued to teach us important<br />
lessons in non-Mendelian inheritance and the genomics of complex<br />
disorders. To date, we know of 9 genes that harbor rare mutations, all<br />
incompletely penetrant but with greater effects in males than females.<br />
One of these genes, the RET tyrosine kinase, also harbors a polymorphism<br />
in an enhancer leading to reduced RET transcription and high<br />
association with short segment HSCR (S-HSCR). Interestingly, the enhancer<br />
polymorphism modifies the genetic effects of rare mutations<br />
not only for RET in HSCR but many other HSCR-related traits such<br />
as Down syndrome, Congenital Central Hypoventilation syndrome and<br />
Bardet-Biedel syndrome. Thus, a single gene can have a diversity of<br />
mutations with differential effects but the same mutation can also have<br />
differential effects depending on its interactions with other (mutant)<br />
genes. In HSCR, the genetic modifiers can be both allelic and nonallelic.<br />
I will describe the genetic tests needed to distinguish between<br />
these scenarios.<br />
S39. Why use the candidate gene approach to find CF<br />
modifiers?<br />
M. Drumm1 , M. Knowles2 ;<br />
1 2 Case Western Reserve University, Cleveland, OH, United States, University of<br />
North Carolina, Chapel Hill, NC, United States.<br />
Genes that do not cause, but modify, a clinical phenotype are of medical<br />
interest as these genes provide information about the biology causing<br />
the phenotype and will potentially suggest therapeutic strategies to<br />
treat the disease phenotype. There are various strategies to identify<br />
these modifying genes and one of the key design features is the choice<br />
of variants selected. Technologic advances are making genome scans<br />
more feasible and affordable, and these approaches allow one to test<br />
hypotheses about candidate genes, as well as identify genes not previously<br />
considered to contribute to the phenotype. However, these<br />
scans are still costly and therefore candidate gene approaches are<br />
still useful. The candidate gene approach relies on knowledge of the<br />
pathophysiology of the disease to be effective, as genes whose products<br />
lie in relevant pathways will be assessed. Consequently, when<br />
a candidate gene is found to associate with the phenotype, some information<br />
is already known about the gene’s role in the phenotype.<br />
Therefore, this approach is most likely to verify a pathway’s involvement<br />
in the disease phenotype, rather than to identify new pathways.<br />
We have taken the candidate gene approach to identifying modifiers<br />
of cystic fibrosis. In doing so, we have incorporated several strategies<br />
to identify candidates. One approach has been to examine genes in<br />
pathways thought to contribute to the pathophysiology of the disease,<br />
such as epithelial ion transport mediators, inflammatory cascade components,<br />
endocrine pathways and innate defense, to name a few. A<br />
second approach has been to examine genes that have been reported<br />
to modify or cause related disorders, such as asthma and chronic obstructive<br />
pulmonary disease (COPD), as CF, asthma and COPD are<br />
likely to have overlapping biology. Using this candidate approach, we<br />
have tested apparent associating genes in at least two populations of<br />
CF patients to verify associations. These approaches have identified<br />
transforming growth factor beta1, and genes in inflammatory pathways<br />
and airway function as genes contributing to disease severity.<br />
S40. Genes that modify iron loading in mice<br />
N. Andrews1,2 ;<br />
1Childrens Hospital, Karp Family Research Laboratories, RM 8-125, Boston,<br />
MA, United States, 2Harvard Medical School, Boston, MA, United States.<br />
Adult onset hemochromatosis, an iron overload disorder affecting the<br />
liver, heart and pancreas, is usually caused by mutations in HFE. However,<br />
only a fraction of patients homozygous for disease-associated<br />
mutations develop clinical hemochromatosis. A wide range in the severity<br />
of iron loading and its complications can be explained by both ge-<br />
netic factors (modifier genes) and environmental factors (e.g., alcohol<br />
intake, dietary iron consumption, and menstruation). Iron physiology in<br />
mice closely resembles that in humans, making the mouse a valuable<br />
genetic model. We undertook a quantitative trait locus (QTL) analysis<br />
in mice to identify modifier genes that might influence the severity of<br />
hemochromatosis. We identified a strong QTL on mouse chromosome<br />
9 that differentially affected macrophage iron burden in C57BL/10J and<br />
SWR/J mice. A C57BL/10J missense allele of an evolutionarily conserved<br />
gene, Mon1a, co-segregated with the QTL in congenic mouse<br />
lines. We present evidence that Mon1a is a cytoplasmic protein involved<br />
in trafficking of ferroportin, the major mammalian iron exporter,<br />
to the surface of iron-recycling macrophages. Differences in amounts<br />
of surface ferroportin correlate with differences in cellular iron content.<br />
Mon1a is also important for trafficking of cell surface and secreted molecules<br />
unrelated to iron metabolism, suggesting that it plays a fundamental<br />
role in the mammalian secretory apparatus.<br />
S41. Genetic Modulation of Sickle Cell Anemia<br />
M. H. Steinberg;<br />
Center of Excellence in Sickle Cell Disease, Boston Medical Center; Dept. of<br />
Medicine, Boston University School of Medicine, Boston, MA, United States.<br />
Sickle cell anemia, a Mendelian disease caused by homozygosity for<br />
a beta-globin gene mutation (HBB, glu6val)), has notorious phenotypic<br />
variability. We are conducting candidate gene and genome-wide association<br />
studies (GWA) to understand the relationships between genetic<br />
heterogeneity and the phenotype of disease.<br />
Fetal hemoglobin (HbF) is the most powerful modulator of sickle cell<br />
anemia. HbF levels are regulated by at least three quantitative trait<br />
loci (QTL) on 8q, Xp and 6q and by elements linked to HBB. When<br />
panels of single nucleotide polymorphisms (SNPs) were used to study<br />
the association of variability in these QTLs in two independent sickle<br />
cell anemia patient groups, SNPs in TOX ( 8q12.1) were associated<br />
with HbF. TOX belongs to a high mobility group box protein family that<br />
binds DNA with high sequence specificity. Many potential TOX binding<br />
sites, including one in the HBG2 promoter are found near the HBB<br />
gene cluster. GWA using pooled DNA confirmed the association on<br />
SNPs in 6q and 8q associated with HbF and identified promising new<br />
areas for further study.<br />
Stroke is a common complication of childhood sickle cell anemia. Using<br />
Bayesian network modeling to evaluate the interactions between<br />
many candidate gene SNPs and the risk of a stroke, we developed a<br />
prognostic model for stroke. SNPs in 11 genes and four clinical variables,<br />
interacted in a complex network of dependency to modulate the<br />
risk of stroke. Case-control association studies examining candidate<br />
genes in other subphenotypes of sickle cell anemia showed associations<br />
with several genes of the TGF-beta/BMP pathway.<br />
To study the genetic association with a global estimate of disease severity,<br />
we developed a model predicting which patients with sickle cell<br />
disease are at risk for near-term death and validated this model in two<br />
independent patient groups. Using this severity score as a phenotype<br />
of disease, SNPs in EDN1, ECE1, KDR, EGF and NOX3 were associated<br />
with overall disease severity.<br />
Understanding the genetic modulation of the hemolytic, vascular and<br />
inflammatory components of this disease could provide important<br />
prognostic information and suggest novel approaches to treatment.<br />
S42. Inborn errors of mitochondrial fatty acid beta-oxidation:<br />
From newborn screening to diagnosis and treatment<br />
R. J. A. Wanders;<br />
University of Amsterdam, Academic Medical Center, Lab Genetic Metabolic<br />
Diseases, F0-224, Amsterdam, The Netherlands.<br />
The mitochondrial fatty acid (FA) beta-oxidation deficiencies constitute<br />
an expanding group of clinically and genetically heterogeneous<br />
disorders. Originally, diagnosis of patients suffering from a fatty acid<br />
oxidation (FAO) disorder was difficult, but the introduction of (tandem)<br />
mass-spectrometry and in particular its use for the analysis of acylcarnitines<br />
in plasma from patients, has revolutionized the diagnosis of<br />
FAO deficiencies. In fact, since tandem mass spectrometry has turned<br />
out to be so robust and reliable, existing neonatal screening programs<br />
have been extended in many countries around the world and now include<br />
different FAO disorders, using tandem mass spectrometric analysis<br />
of acylcarnitines in blood spots. The best known FAO disorder<br />
is medium-chain acyl-CoA dehydrogenase (MCAD) deficiency with an