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).

• Genotype-phenotype associations: modulation by diet and obesity.

  PMID 19037211 · PMC2771769 · Obesity (Silver Spring, Md.) · 2008 · 8 claims · 7 setups

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  Obesity modulates the association between APOE genotype and fasting insulin/glucose levels in men, with obese APOE4 carriers showing higher insulin and glucose than other obese genotype groups.

  framingham spanish caucasian population apoe edn1 lpl

• Changes in social contacts in England during the COVID-19 pandemic between March 2020 and March 2021 as measured by the CoMix survey: A repeated cross-sectional study.

  PMID 35231023 · PMC8887739 · PLoS medicine · 2022 · 8 claims · 2 setups

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  Recorded social contacts in England decreased dramatically compared to prepandemic levels measured by the POLYMOD study

  general population comix polymod

• Human genetics branches out in Barcelona.

  PMID 18710599 · PMC2575509 · Genome biology · 2008 · 8 claims · 8 setups

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  A meta-analysis of three GWAS scans (DIAGRAM) identifies new type 2 diabetes susceptibility loci (JAZF1, CDC123/CAMK1D, ADAMTS9, THADA) with modest individual effect

  patients families lymphoblastoid genome genome-wide gwas genetic

• Prostate cancer genomics: towards a new understanding.

  PMID 19104501 · PMC2721916 · Nature reviews. Genetics · 2009 · 8 claims · 8 setups

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  Multiple GWAS have identified over a dozen replicated germline SNPs each associated with a modest increase in prostate cancer risk

  germline families african-american combined genome-wide linkage admixture

• Systems biology and the host response to viral infection.

  PMID 18066032 · PMC7097743 · Nature biotechnology · 2007 · 8 claims · 8 setups

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  Systems biology integration of 'omics data (transcriptomics, proteomics, genomics) with computational modeling is needed to fully understand virus-host interactions and identify novel antiviral targets

  lung cd4 rhesus kshv microarray quantitative genomic