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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Systems biology: where it's at in 2005.
PMID 16086862 · PMC1273629 · Genome biology · 2005 · 8 claims · 8 setups
High-throughput genetic-interaction and physical-interaction maps show only minimal overlap with each other, whereas literature-derived genetic and physical interaction maps share a much greater fraction of edges
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Phosphorylation states of cell cycle and DNA repair proteins can be altered by the nsSNPs.
PMID 16111488 · PMC1208866 · BMC cancer · 2005 · 8 claims · 4 setups
15 of 89 nsSNPs (16.9%) studied were predicted to abolish or create phosphorylation sites in 14 of 32 proteins (44.0%)
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Public health genomics approach to type 2 diabetes.
PMID 18971439 · PMC2570384 · Diabetes · 2008 · 7 claims · 3 setups
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).
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Policy implications of genetic information on regulation under the Clean Air Act: the case of particulate matter and asthmatics.
PMID 16507451 · PMC1392222 · Environmental health perspectives · 2006 · 8 claims · 4 setups
The Clean Air Act mandates protection of sensitive subpopulations, including asthmatics, from air pollution health effects, creating an opening for genetic susceptibility data in regulation.
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Public health genomics: translating obesity genomics research into population health benefits.
PMID 19037221 · PMC2736102 · Obesity (Silver Spring, Md.) · 2008 · 8 claims · 6 setups
Obesity genomics research is mostly in the discovery phase (T1); a four-phase translational framework (T1-T4) is needed to move discoveries to population health impact
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Is replication the gold standard for validating genome-wide association findings?
PMID 19112512 · PMC2605260 · PloS one · 2008 · 8 claims · 4 setups
The probability of replicating a specific GWA-identified variant decreases as the number of independent GWA/replication studies increases, when individual study power is less than 100%.
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Integrated analysis of genetic and proteomic data identifies biomarkers associated with adverse events following smallpox vaccination.
PMID 18923431 · PMC2692715 · Genes and immunity · 2009 · 7 claims · 6 setups
A two-stage strategy (Random Forest filtering followed by decision tree modeling) can integrate categorical genetic and continuous proteomic data to identify biomarkers of AE risk
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Association of the MAPT locus with Parkinson's disease.
PMID 19912324 · PMC3906622 · European journal of neurology · 2010 · 7 claims · 5 setups
H1/H2-tagging SNPs rs1052553 (MAPT) and rs62063857 (Saitohin/STH) are significantly associated with increased risk of PD
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Has reproduction · 83
Current status of use of high throughput nucleotide sequencing in rheumatology.
PMID 33408124 · PMC7789458 · RMD open · 2021 · 8 claims · 8 setups
RNA-Seq is the most represented HTS assay used in rheumatology research, primarily for biomarker identification in blood or synovial tissue.
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The asthma consultative process: a collaborative approach to integrating genomics into public health practice.
PMID 15888238 · PMC1327721 · Preventing chronic disease · 2005 · 6 claims · 4 setups
A collaborative process combining literature review, expert working group input, and professional/community consultations can synthesize asthma genomics knowledge for public health practice.
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Human synthetic lethal inference as potential anti-cancer target gene detection.
PMID 20015360 · PMC2804737 · BMC systems biology · 2009 · 7 claims · 8 setups
Targeting the synthetic lethal partner of a gene mutated in cancer selectively damages tumor cells while sparing healthy cells, offering a rationale for anti-cancer drug design
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Animal models of gene-nutrient interactions.
PMID 19037208 · PMC2703433 · Obesity (Silver Spring, Md.) · 2008 · 8 claims · 5 setups
Mice and rats are well-suited models for human food selection because they share food preferences with humans and are supported by extensive genetic tools (sequenced genome, inbred strains, gene targeting, Cre-lox).
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Indirect genomic effects on survival from gene expression data.
PMID 18358079 · PMC2397510 · Genome biology · 2008 · 7 claims · 6 setups
A novel methodology (dynamic path analysis combined with additive hazard survival regression) can detect and quantify indirect effects of gene expression on survival mediated through transcription factor target genes.
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Haplotype frequencies at the DRD2 locus in populations of the East European Plain.
PMID 19793394 · PMC2765450 · BMC genetics · 2009 · 8 claims · 4 setups
The three-locus TaqI B-TaqI D-TaqI A haplotype at DRD2 constitutes a powerful genetic marker reflecting the most ancient dispersal of anatomically modern humans
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MSI test to distinguish between HNPCC and other predisposing syndromes -- of value in tailored surveillance.
PMID 15528791 · PMC3839337 · Disease markers · 2004 · 8 claims · 5 setups
MSI (or immunohistochemistry) testing applied to a pre-selected patient with a family history or early-onset colorectal cancer can distinguish HNPCC from unknown non-HNPCC colorectal cancer syndromes.
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Analysis of nucleotide diversity of NAT2 coding region reveals homogeneity across Native American populations and high intra-population diversity.
PMID 16847467 · PMC3099416 · The pharmacogenomics journal · 2007 · 8 claims · 6 setups
NAT2 variants are homogeneously distributed across native populations of the American continent
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Gene losses during human origins.
PMID 16464126 · PMC1361800 · PLoS biology · 2006 · 7 claims · 7 setups
A comparative genomic screen identified 67 new human-specific nonprocessed pseudogenes, bringing the total (with 13 from prior literature) to 80 human-specific pseudogenes.
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Has reproduction · 77
Representing and querying disease networks using graph databases.
PMID 27462371 · PMC4960687 · BioData mining · 2016 · 7 claims · 8 setups
Graph databases are well suited for representing biological information because it is typically highly connected, semi-structured and unpredictable, unlike relational databases which require rigid schemas.