What's new for 'JKB_daily1' in PubMed

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Sender's message: Sepsis or genomics or altitude: JKB_daily1

Sent on Thursday, 2013 January 24
Search: (sepsis[MeSH Terms] OR septic shock[MeSH Terms] OR altitude[MeSH Terms] OR genomics[MeSH Terms] OR genetics[MeSH Terms] OR retrotransposons[MeSH Terms] OR macrophage[MeSH Terms]) AND ("2009/8/8"[Publication Date] : "3000"[Publication Date]) AND (("Science"[Journal] OR "Nature"[Journal] OR "The New England journal of medicine"[Journal] OR "Lancet"[Journal] OR "Nature genetics"[Journal] OR "Nature medicine"[Journal]) OR (Hume DA[Author] OR Baillie JK[Author] OR Faulkner, Geoffrey J[Author]))

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PubMed Results

Items 1 - 2 of 2

1.	Science. 2013 Jan 18;339(6117):321-4. doi: 10.1126/science.1229566. Identifying personal genomes by surname inference. Gymrek M, McGuire AL, Golan D, Halperin E, Erlich Y. Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA. Abstract Sharing sequencing data sets without identifiers has become a common practice in genomics. Here, we report that surnames can be recovered from personal genomes by profiling short tandem repeats on the Y chromosome (Y-STRs) and querying recreational genetic genealogy databases. We show that a combination of a surname with other types of metadata, such as age and state, can be used to triangulate the identity of the target. A key feature of this technique is that it entirely relies on free, publicly accessible Internet resources. We quantitatively analyze the probability of identification for U.S. males. We further demonstrate the feasibility of this technique by tracing back with high probability the identities of multiple participants in public sequencing projects.
	PMID: 23329047 [PubMed - indexed for MEDLINE]
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2.	Science. 2013 Jan 18;339(6117):275-6. doi: 10.1126/science.1234593. Research ethics. The complexities of genomic identifiability. Rodriguez LL, Brooks LD, Greenberg JH, Green ED. National Human Genome Research Institute, National Institutes of Health (NIH), Bethesda, MD 20892, USA.
	PMID: 23329035 [PubMed - indexed for MEDLINE]
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