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Research Report 2003 - Max-Planck-Institut für molekulare Genetik

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Department of Vertebrate Genomics<br />

30<br />

Genetic Variation, Haplotypes & Genetics<br />

of Complex Disease Group<br />

Head:<br />

Margret Hoehe, MD, PhD<br />

The group was established in 2002.<br />

Scientist:<br />

Bernd Timmermann, Dipl.Biol.<br />

Introduction<br />

Haplotype-based approaches to all phases of disease gene discovery have gained a<br />

central role in genetic analysis. In particular, the systematic analysis of candidate genebased<br />

haplotypes is a key step common to all strategies of disease gene identification.<br />

Candidate gene sequences have to be compared in large numbers of patients and controls<br />

in order to identify those specific sequence variants associated with the disease.<br />

In that, haplotype-based approaches to candidate gene analysis are mandatory, because<br />

only the correct determination of the specific combinations of given gene sequence<br />

variants as they occur separately on each of the two chromosomes of an individual<br />

will allow establishment of correlations between genetic variation, gene function,<br />

dysfunction, and disease phenotype.<br />

Scientific overview<br />

We have developed approaches and technologies in order to<br />

1) compare candidate gene sequences systematically at large scale (“Multiplex<br />

Sequence Comparison”, high throughput capillary sequencing)<br />

2) determine the molecular haplotypes<br />

3) predict haplotypes in silico, specifically the most likely haplotype pairs for each<br />

genotype in a given sample<br />

4) perform classification of haplotypes to reduce haplotype complexity and extract<br />

genetic risk haplotypes against a background of high genome sequence diversity.<br />

In the process of research, development and production, we have systematically analysed<br />

more than thirty candidate genes of relevance for several common, complex diseases<br />

in an average of about 300 individuals, one of the largest bodies of comparative sequence<br />

data (more than 25 finished Megabases of sequence), and the greatest depth of<br />

sequence analysis reached to date. This body of data allows addressing important questions<br />

regarding linkage disequilibrium and haplotype structures given in genomic regions<br />

and candidate gene segments, respectively, at the ultimate level of resolution.<br />

This has important implications for all approaches to haplotype-based disease gene<br />

discovery. The analysis of haplotype/genotype-phenotype relationships is presently<br />

being addressed in national and international collaborations (J. Ott, Rockefeller University,<br />

K.K. Kidd, H. Zhao, Yale University, K. M. Weiss, Penn State University, R. Shamir, Tel Aviv<br />

University/Weizmann-<strong>Institut</strong>e, J. Reich, K. Rohde, <strong>Max</strong>-Delbrück-Center, A. Ullrich, <strong>Max</strong><br />

<strong>Planck</strong> <strong>Institut</strong>e for Biochemistry, R. Reinhardt, <strong>Max</strong> <strong>Planck</strong> <strong>Institut</strong>e for Molecular Genetics).<br />

Present work / future developments / co-operations<br />

In this context, approaches to a) cope with the multiplicity of haplotypes through various<br />

approaches to haplotype classification, b) analyse all genes simultaneously for<br />

association with phenotype, c) analyse haplotype-haplotype and gene-gene-environment<br />

interactions are being developed and applied. Moreover, comparative sequence<br />

analyses of novel candidate genes are carried out in order to identify genetoc risk<br />

patterns for complex disease. First significant results on potential genetic risk profiles<br />

for diseases have been obtained.

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