Needles in the Haystack: Identifying individuals present in pooled genomic data

PLoS Genetics

Volumn 5, Issue 10, 2009, Pages

  Braun, Rosemary ^a   Rowe, William ^a   Schaefer, Carl ^a   Zhang, Jinghui ^a   Buetow, Kenneth ^a  

^a NATIONAL CANCER INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CALIBRATION; CLINICAL RESEARCH; EMPIRICISM; FALSE POSITIVE RESULT; FORENSIC MEDICINE; GENOMICS; GENOTYPE; POPULATION; PREDICTION; SAMPLE; STRENGTH; BIOLOGICAL MODEL; EVALUATION; GENETIC ASSOCIATION; HUMAN; METHODOLOGY; POPULATION GENETICS; SINGLE NUCLEOTIDE POLYMORPHISM;

GENETICS, POPULATION; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; GENOTYPE; HUMANS; MODELS, GENETIC; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 73449120797     PISSN: 15537390     EISSN: 15537404     Source Type: Journal    
DOI: 10.1371/journal.pgen.1000668     Document Type: Article

References (4)

1. Homer N, Szelinger S, Redman M, Duggan D, Tembe W, et al. (2008) Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays. PLoS Genet 4: e1000167. doi:10.1371/journal.pgen.1000167.
2. Hunter DJ, Kraft P, Jacobs KB, Cox DG, Yeager M, et al. A genome-wide association study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer. Nat Genet 39: 870-874.
3. The International HapMap Consortium The International HapMap Project. Nature 426: 789-796.
4. R Development Core Team (2004) A language and environment for statistical computing. Vienna, Austria.