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{bio,medical} informatics


Monday, October 23, 2000

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find related articles. powered by google. The Dallas Morning News Right down to the letter
""If we understood the diseases better, we'd be in a better position to target therapies," said David Altshuler, a geneticist at the Whitehead Institute for Biomedical Research in Cambridge, Mass.

Traditionally, scientists have looked for disease-causing genes by studying large families afflicted with a certain condition. But given enough SNPs, researchers hope they won't have to rely on finding just the right family to study.Theoretically, researchers could simply compare the SNPs of unrelated people with high blood pressure, for instance, to those of people without the condition.

But researchers don't have proof yet that the new approach will work, said Eric Boerwinkle, a geneticist at the University of Texas Health Science Center in Houston.

"I think there's some skepticism," he said. "I don't know of an example where that's been carried out.""
redux [02.18.00]
find related articles. powered by google. Science SNP Mappers Confront Reality and Find It Daunting
[summary - can be viewed for free once registered]
"The genetic markers called SNPs have been widely touted as the key to personalized medicine, with drugs tailored to an individual's genotype and simple tests to determine one's risk of specific diseases. But a closed meeting held last week, sponsored by the SNP Consortium and the U.S. National Human Genome Research Institute, concluded that those promises may be harder to achieve than expected, and that more SNPs may be required to track down a particular disease gene than previously estimated.”

redux [08.01.00]
GeneLetter Inequalities and individualized medicine
"Over the next few years a number of competing groups - my own company, Sequenom, among them -- will sort through the diverse genetic material of the human species to find those variations called single nucleotide polymorphisms (SNPs, pronounced SNIPS) that predispose individuals to major clinical disorders."

“At present the overwhelming bulk of the effort to identify these natural variations is in the private sector. This is inevitable because SNPs that associate with major diseases are patentable, by traditional standards."

"Whatever ensues, it is clear that the rate of discovery of medically important SNPs and their conversion into clinically useful tools will not progress equally fast or uniformly for all segments of mankind."

"It will be easier to discover medically important SNPs in geographically isolated and inbred populations in which good familial records and where migration has not introduced confounding genetic variation. Iceland and Finland are strong early candidates."


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Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.

BIOINFORMATICS IN THE 21st CENTURY

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