Experiments
Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).
-
Full-text index only
Rare germline mutations in the BRCA2 gene are associated with early-onset prostate cancer.
PMID 17700570 · PMC2360390 · British journal of cancer · 2007 · 8 claims · 3 setups
Germline protein-truncating BRCA2 mutations confer an elevated relative risk (~7.8-fold) of early-onset prostate cancer in Caucasian men
-
Full-text index only
Variation in breast cancer risk in BRCA1 and BRCA2 mutation carriers.
PMID 18710587 · PMC2575529 · Breast cancer research : BCR · 2008 · 8 claims · 4 setups
Lifetime breast cancer risk estimates in BRCA1/2 mutation carriers vary widely (roughly 40% to >80%) depending on the study population and ascertainment method
-
Full-text index only
Prevalence and penetrance of BRCA1 and BRCA2 mutations in a population-based series of breast cancer cases. Anglian Breast Cancer Study Group.
PMID 11044354 · PMC2408797 · British journal of cancer · 2000 · 6 claims · 4 setups
BRCA1 and BRCA2 mutations are rare in the general population and account for only a small fraction of all breast cancer in the UK
-
Full-text index only
A genome-wide association study of social and non-social autistic-like traits in the general population using pooled DNA, 500 K SNP microarrays and both community and diagnosed autism replication samples.
PMID 20012890 · PMC2797846 · Behavior genetics · 2010 · 6 claims · 4 setups
SNP Microarrays and Pooling (SNP-MaP) is a valid economical method for genome-wide screening of quantitative trait extremes using pooled DNA on microarrays
-
Full-text index only
A mouse to human search for plasma proteome changes associated with pancreatic tumor development.
PMID 18547137 · PMC2504036 · PLoS medicine · 2008 · 7 claims · 8 setups
GEM models combined with in-depth proteomic analysis provide a useful strategy to identify candidate cancer markers applicable to human disease with potential for early detection