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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Pathways to injury in chronic pancreatitis: decoding the role of the high-risk SPINK1 N34S haplotype using meta-analysis.
PMID 18414673 · PMC2289874 · PloS one · 2008 · 6 claims · 7 setups
SPINK1 N34S is strongly associated with chronic pancreatitis overall
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Molecular genetic analysis of the cytochrome P450-debrisoquine hydroxylase locus and association with cancer susceptibility.
PMID 1486838 · PMC1519624 · Environmental health perspectives · 1992 · 7 claims · 8 setups
A PCR-RFLP DNA-based assay targeting the intron 3/exon 4 G-to-A transition can identify approximately 70-80% of CYP2D6 poor metabolizers (PMs) without drug phenotyping.
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Overlapping gene mutations of hepatitis B virus in a chronic hepatitis B patient with hepatitis B surface antigen loss during lamivudine therapy.
PMID 15953865 · PMC2782199 · Journal of Korean medical science · 2005 · 7 claims · 5 setups
Serum HBsAg became negative after 36 months of lamivudine therapy while HBeAg and HBV DNA remained positive
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Discrimination of three mutational events that result in a disruption of the R122 primary autolysis site of the human cationic trypsinogen (PRSS1) by denaturing high performance liquid chromatography.
PMID 11734061 · PMC60523 · BMC genetics · 2001 · 7 claims · 3 setups
DHPLC can readily discriminate the two known mutational events (c.365G>A and c.365~366GC>AT) that both cause the R122H mutation
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Genetics and proteomics: deciphering gene association studies in critical illness.
PMID 16934133 · PMC1750993 · Critical care (London, England) · 2006 · 8 claims · 8 setups
Most critical illnesses are complex traits (multifactorial), unlike single-gene Mendelian diseases.
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Size matters: just how big is BIG?: Quantifying realistic sample size requirements for human genome epidemiology.
PMID 18676414 · PMC2639365 · International journal of epidemiology · 2009 · 7 claims · 2 setups
Conventional power calculations for case-control studies disregard analytic complexity (e.g. clinical assessment errors, unmeasured aetiological determinants) and can seriously underestimate true sample size requirements