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).

• Genomics and the prevention and control of common chronic diseases: emerging priorities for public health action.

  PMID 15888216 · PMC1327699 · Preventing chronic disease · 2005 · 8 claims · 6 setups

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  Family history is the most consistent risk factor for almost all human diseases across the lifespan.

  adults care utah epidemiologic national observational population-based

• 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

• Advances in breast cancer: pathways to personalized medicine.

  PMID 19088015 · PMC4535810 · Clinical cancer research : an official journal of the American Association for Cancer Research · 2008 · 8 claims · 8 setups

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  Germline BRCA1/BRCA2 mutations are strong predictors of breast and ovarian cancer, conferring a 40-80% lifetime risk of breast cancer

  population-based women breast high-risk germline genome-wide microarray

• 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

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  Germline protein-truncating BRCA2 mutations confer an elevated relative risk (~7.8-fold) of early-onset prostate cancer in Caucasian men

  peripheral population-based same germline epidemiological genotype-phenotype

• Getting it right: being smarter about clinical trials.

  PMID 16608383 · PMC1435786 · PLoS medicine · 2006 · 9 claims · 8 setups

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  Bias and confounding in observational studies can produce misleading associations that are overturned by randomized trials (e.g., HRT).

  postmenopausal general patients men randomized population-based large

• 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