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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

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