The "power" of predictive sequencing

Twitter commentary on Roberts et. al. Science Translational Medicine study claiming that predictive personal genome sequencing has little value (http://stm.sciencemag.org/content/early/2012/04/02/scitranslmed.3003380).

  1. This study says healthy people won't be helped by their sequence. @bmahersciwriter #GWASisDEAD
  2. is massive overstatement a prerequisite for working on anything related to GWAS? @matthewherper @bmahersciwriter
  3. @matthewherper @bmahersciwriter I was going to write up the paper but was incredibly underwhelmed.
  4. @matthewherper @bmahersciwriter Most interesting thing to me was Science put it up (under embargo) last wk to give reporters more time.
  5. What were you overwhelmed by? the idea that genomics won't be predictive is pretty powerful, no? @edyong209 @bmahersciwriter
  6. @matthewherper @edyong209 @bmahersciencewriter that's not a new idea, & ppl I talked to thought twin methodology v problematic
  7. It's not a new idea, but it strikes me as a convincing way to explain it... @Erika_Check @edyong209 @bmahersciencewriter
  8. @matthewherper @bmahersciencewriter @edyong209 interesting Q: what to do if a finding will get tons of coverage but sources pan it?
  9. @matthewherper @edyong209 @bmahersciwriter not enough space/time to pick apart every specious result, but some are worth explaining.
  10. Actually, then you can do a "The NYTimes is Wrong" post. People like 'em. @Erika_Check @edyong209 @bmahersciwriter
  11. @Erika_Check @matthewherper @bmahersciwriter Helpful to have voice of reason to complement broader and less hard-won coverage, I'd say.
  12. @Erika_Check @matthewherper @bmahersciwriter I think one question might be "Are the sources panning the finding on interesting grounds?"

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Erika Check Hayden

Biomedical reporter @NatureNews, blogger at http://www.lastwordonnothing.com/ and instructor at http://scicom.ucsc.edu/ Tweets are my own.

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