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).

• Tissue plasminogen activator and plasminogen activator inhibitor type 1 gene polymorphism in patients with gastric ulcer complicated with bleeding.

  PMID 12589088 · PMC3054991 · Journal of Korean medical science · 2003 · 6 claims · 5 setups

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  The t-PA I/D or D/D genotype is significantly associated with duodenal (vs gastric) ulcer location

  genomic randomly patients endoscopic allele-specific pcr logistic

• Adaptations to climate in candidate genes for common metabolic disorders.

  PMID 18282109 · PMC2242814 · PLoS genetics · 2008 · 8 claims · 7 setups

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  A network-based bioinformatics approach (Molecular Triangulation) was used to select 82 candidate genes belonging to the core subnetwork of metabolic syndrome phenotypes.

  individuals population genic compiled snp spearman bayesian

• Public health genomics approach to type 2 diabetes.

  PMID 18971439 · PMC2570384 · Diabetes · 2008 · 7 claims · 3 setups

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  Combining GWAS-discovered genetic variants provides only weak predictive ability for type 2 diabetes and adds little beyond established clinical risk factors (age, sex, BMI).

  population-based white genetic genotyping systematic

• Addressing the obesity epidemic: a genomics perspective.

  PMID 17362622 · PMC1893129 · Preventing chronic disease · 2007 · 8 claims · 8 setups

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  Obesity is a multifactorial disorder reflecting complex interactions of genes, environment, and lifestyle

  identical fraternal children younger twin family longitudinal

• 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

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  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

  simulated simulation-based simulated