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The 1000 Genomes Project

jd writes "An international consortium of specialists in genetics has announced the 1000 Genomes Project, in which at least 1,000 people from around the world will have their genomes fully sequenced as part of an effort to discover the relationship between genetics and disease. At present, over 100 regions of DNA are known to be related to illnesses, but the maps that exist are vague and are drawn from an extremely small population pool. According to the article, this results in the need for slow, expensive, and laborious studies to pinpoint causes, especially for rarer conditions. This project aims to find conditions that might only appear once in every 2,000 people (though how they intend to do that with half that number is unclear). The researchers hope to massively speed up the diagnosis of genetically linked illnesses and to improve the reliability of such diagnoses."

6 of 95 comments (clear)

  1. Selection by mastershake_phd · · Score: 5, Insightful

    This project aims to find conditions that might only appear once in every 2,000 people (though how they intend to do that with half that number is unclear).
     
    Well, they could sequence the DNA of people known to have rare diseases.

  2. 1 in 2000 people by rsidd · · Score: 5, Informative

    This project aims to find conditions that might only appear once in every 2,000 people (though how they intend to do that with half that number is unclear)

    Let's try to make it clearer, then.

    The probability that a given condition appears in an individual is 1 in 2000, or 0.0005. The probability that it does not appear in that individual is 0.9995. The probability that it does not appear in any of 1000 individuals is 0.9995^1000 = 0.6 approximately; and the probability that at least one of the 1000 individuals has it is 0.4. Not bad at all. (If you used 2000 people, the probability that at least one of them would have it would improve to about 0.6.)

    Suppose you aren't interested in just one conditions, but in lots of conditions -- say, ten of them. The probability that at least one individual would have at least one of those conditions is 1 - 0.9995^(1000*10) = 0.993 == ie, practically certain.

    They really ought to teach basic probability theory in schools...

    1. Re:1 in 2000 people by nacturation · · Score: 5, Insightful

      This project aims to find conditions that might only appear once in every 2,000 people (though how they intend to do that with half that number is unclear)

      Let's try to make it clearer, then.

      The probability that a given condition appears in an individual is 1 in 2000, or 0.0005. The probability that it does not appear in that individual is 0.9995. The probability that it does not appear in any of 1000 individuals is 0.9995^1000 = 0.6 approximately; and the probability that at least one of the 1000 individuals has it is 0.4. Not bad at all. (If you used 2000 people, the probability that at least one of them would have it would improve to about 0.6.)

      Suppose you aren't interested in just one conditions, but in lots of conditions -- say, ten of them. The probability that at least one individual would have at least one of those conditions is 1 - 0.9995^(1000*10) = 0.993 == ie, practically certain.

      They really ought to teach basic probability theory in schools...

      Your post is like that scene in Indiana Jones with the guy making some really impressive sword moves, looking all menacing... while Indy just pulls out his revolver and shoots him. You could get a whole room full of geeks cranking numbers and arguing over how many people they would need to find in order to exceed a particular probability that any one participant has Lou Gehrig's disease, while a simpler person would leave the room, come back the next day, and say "Hey guys, meet my neighbor Bob... he has Lou Gehrig's."
      --
      Want to improve your Karma? Instead of "Post Anonymously", try the "Post Humously" option.
  3. 1000 Gnomes Project? by Aereus · · Score: 4, Funny

    I have no idea what they plan to do with 1000 gnomes, but I can only guess that whatever it is will end in a giant explosion.

  4. This is fantastic news by Biotech9 · · Score: 4, Insightful

    Anyone reading up on the progress in genomics over the last decade has seen the huge leaps in speed and accuracy and the insane cuts in cost to work with nucleic acids.

    From a lab level where what used to be a weeks work with lots of chemicals and processing is now usually a 20 minute protocol with a kit from Quagen. what used to be massive amounts of work with hundreds of gels and digestions and labeling steps to analyse nucleic acid sequences is now a few days with an affymetrix kit, giving far more accurate and useable results. Across every step this progress has been rapid.

    And in the future, near-term like within a decade, all these methods will become outdated and replaced with near-realtime analysis and diagnosis. The best point in all of this is that no matter how advanced medical tech has become, the limiting factor has been that it's necessary to actually BRING your disease ridden body to the hospital or doctor. The rise of companies like www.decodeme.com is what i expect DNA assesment to be like in the future. You send off some samples you scrape off your cheek yourself, and within a few days you get a full diagnosis on any known predisposition to disease or genetic problems.

    Which is why a lot more attention should be put into the debate on morality and genetic profiling. It's going to be here before you can blink, it might be nice to know what you think about using embryo selection to wipe out CF before it becomes a possibility.

  5. Rare Conditons by MassiveForces · · Score: 4, Informative

    Finding diseases that eventuate in 1 in 2000 people with a genomic study of 1000 people is entirely possible... with one thousand people you have two thousand sets of genes. Since most genetic diseases are caused by two of the same recessive alleles (usually resulting from broken genes) in a single haplotype there would be lots of carriers; those with a single disease allele that could be spotted as a major deletion relative to the genomic reference sequence.