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).
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Epithelial ovarian cancer: influence of polymorphism at the glutathione S-transferase GSTM1 and GSTT1 loci on p53 expression.
PMID 8956789 · PMC2077203 · British journal of cancer · 1996 · 8 claims · 4 setups
GSTM1, GSTT1 and CYP2D6 genotype/allele frequencies did not differ significantly between 84 ovarian cancer cases and 325 controls, showing no association with disease susceptibility.
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ATM variants and cancer risk in breast cancer patients from Southern Finland.
PMID 16914028 · PMC1592307 · BMC cancer · 2006 · 8 claims · 6 setups
Neither 5557G>A nor ivs38-8T>C, nor any haplotype containing them, was significantly associated with breast cancer risk in any patient group
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Considerations regarding the genetics of obesity.
PMID 19037210 · PMC2682366 · Obesity (Silver Spring, Md.) · 2008 · 8 claims · 8 setups
Genetic factors account for 40-70% of the variance in human adiposity
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A common missense variant in BRCA2 predisposes to early onset breast cancer.
PMID 16280055 · PMC1410744 · Breast cancer research : BCR · 2005 · 7 claims · 4 setups
BRCA2 C5972T homozygosity (TT genotype) is rare but confers a roughly five-fold increased risk of breast cancer.
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A statistical model to identify differentially expressed proteins in 2D PAGE gels.
PMID 19763172 · PMC2734266 · PLoS computational biology · 2009 · 7 claims · 5 setups
A mixture likelihood model incorporating both detected and non-detected proteins has higher statistical power to detect differential expression than standard approaches like the Student's t-test.
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Accuracy of predicting the genetic risk of disease using a genome-wide approach.
PMID 18852893 · PMC2561058 · PloS one · 2008 · 8 claims · 4 setups
Deterministic equations can predict the accuracy (r_gĝ) of genome-wide genetic risk/value prediction for continuous, dichotomous, and case-control study designs.
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PedGenie: an analysis approach for genetic association testing in extended pedigrees and genealogies of arbitrary size.
PMID 16620382 · PMC1459209 · BMC bioinformatics · 2006 · 7 claims · 3 setups
PedGenie is a valid, flexible statistical tool for genetic association analysis in pedigrees of arbitrary size and structure using Monte Carlo significance testing