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).

• Systematic mutation analysis of KIAA0767 and KIAA1646 in chromosome 22q-linked periodic catatonia.

  PMID 16225677 · PMC1274336 · BMC psychiatry · 2005 · 8 claims · 3 setups

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  Systematic mutation screening of KIAA0767 and KIAA1646 was performed in chromosome 22q-linked periodic catatonia pedigrees

  genomic unrelated systematic case-control

• Incorporation of genetic model parameters for cost-effective designs of genetic association studies using DNA pooling.

  PMID 17634103 · PMC1947971 · BMC genomics · 2007 · 8 claims · 4 setups

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  A closed-form approximation to the F-test non-centrality parameter (NCP) incorporating genetic model parameters (disease allele frequency, marker allele frequency, prevalence, genotype relative risk, sample size, genetic model, number of pools/replicates, machine variability) can be used to compute power for DNA pooling association studies

  modeled analytic factorial power

• MTHFR 677C>T and ACE D/I polymorphisms in migraine: a systematic review and meta-analysis.

  PMID 19925624 · PMC3071567 · Headache · 2010 · 6 claims · 3 setups

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  The MTHFR 677TT genotype is associated with increased risk of migraine with aura but not migraine without aura

  migraineurs pooled genotyping meta-analysis

• Relation of candidate genes that encode for endothelial function to migraine and stroke: the Stroke Prevention in Young Women study.

  PMID 19661472 · PMC2753702 · Stroke · 2009 · 8 claims · 6 setups

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  EDN SNP rs1800542 is associated with increased ischemic stroke risk in Caucasian women

  international spyw candidate haplotype population

• 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