ScienceDaily (Sep. 28, 2012) ? Researchers at the Sainte-Justine University Hospital Center and University of Montreal have identified genetic origins in 10% of an important form of congenital heart diseases by studying the genetic variability within families. "This is more than the sum of the genes found to date in all previous studies, which explained only 1% of the disease, says Dr. Marc-Phillip Hitz, lead author of the study published in PLoS Genetics, under the direction of Dr. Gregor Andelfinger, pediatric cardiologist and principal investigator leading an international research team, who calls this study "a very important step towards a molecular catalog, which ultimately may explain the evolution of disease in individual patients and allow to influence the progression of the disease."
Congenital heart malformations are at the forefront of all malformations in newborns, and one of the most important causes of infant mortality in Western countries. For their study, the researchers focused on malformations of the aortic valve, where familial clustering of cases often suggests a hereditary component. The researchers therefore decided to adopt a "family approach" and selected families with several members having a heart condition, in order to be able to establish a direct link with the disease. Using very strict filtering criteria to identify possible causal copy number variants -a structural form of variation of the genetic makeup that leads to an increase or decrease in the copy number of small parts of DNA within the genome- the researchers retained only rare variants directly involved in the disease processes and causing severe adverse health effects. The variants had to be carried by the patients but not by healthy members of their family. Researchers then validated the identified genes by confirming that they were highly expressed in the developing mouse heart.
The study also noted that many affected patients carried more than one rare variant. This finding had already been made in the context of other congenital diseases. In addition, the study reveals that in the 59 families analyzed, no copy number variants recurred between two families. "Despite the homogeneity of the French-Canadian population as compared to other populations and similarities seen within families, we realize that copy number variants are very different between families with no genealogical connection. From a genetic point of view, the diseases we looked at are a "family affair."
Moreover, although the study focused on the aortic valve area, genes explaining associated conditions have been identified. "It is striking that the majority of the identified genes also play an important role in blood vessels, not just in the valves of the heart," says Dr. Andelfinger. Indeed, the images are of striking clarity: expression patterns of the genes identified selectively stain areas of the heart where lesions are observed. "Numerous patients continue to have problems after successful initial intervention on the aortic valve, such as aortic dilation. Our study sheds new light on the link between the two issues, something we always observed clinically but had a hard time to explain," he concludes.
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The above story is reprinted from materials provided by Universit? de Montr?al.
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Journal Reference:
- Marc-Phillip Hitz, Louis-Philippe Lemieux-Perreault, Christian Marshall, Yassamin Feroz-Zada, Robbie Davies, Shi Wei Yang, Anath Christopher Lionel, Guylaine D'Amours, Emmanuelle Lemyre, Rebecca Cullum, Jean-Luc Bigras, Maryse Thibeault, Philippe Chetaille, Alexandre Montpetit, Paul Khairy, Bert Overduin, Sabine Klaassen, Pamela Hoodless, Mona Nemer, Alexandre F. R. Stewart, Cornelius Boerkoel, Stephen W. Scherer, Andrea Richter, Marie-Pierre Dub?, Gregor Andelfinger. Rare Copy Number Variants Contribute to Congenital Left-Sided Heart Disease. PLoS Genetics, 2012; 8 (9): e1002903 DOI: 10.1371/journal.pgen.1002903
Note: If no author is given, the source is cited instead.
Disclaimer: This article is not intended to provide medical advice, diagnosis or treatment. Views expressed here do not necessarily reflect those of ScienceDaily or its staff.
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