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Connection

Francesca Luca to Genome-Wide Association Study

This is a "connection" page, showing publications Francesca Luca has written about Genome-Wide Association Study.
Connection Strength

1.268
  1. Integrating molecular QTL data into genome-wide genetic association analysis: Probabilistic assessment of enrichment and colocalization. PLoS Genet. 2017 Mar; 13(3):e1006646.
    View in: PubMed
    Score: 0.328
  2. High-throughput allele-specific expression across 250 environmental conditions. Genome Res. 2016 12; 26(12):1627-1638.
    View in: PubMed
    Score: 0.320
  3. Probabilistic integration of transcriptome-wide association studies and colocalization analysis identifies key molecular pathways of complex traits. Am J Hum Genet. 2023 01 05; 110(1):44-57.
    View in: PubMed
    Score: 0.123
  4. Analyzing and reconciling colocalization and transcriptome-wide association studies from the perspective of inferential reproducibility. Am J Hum Genet. 2022 05 05; 109(5):825-837.
    View in: PubMed
    Score: 0.117
  5. Probabilistic colocalization of genetic variants from complex and molecular traits: promise and limitations. Am J Hum Genet. 2021 01 07; 108(1):25-35.
    View in: PubMed
    Score: 0.106
  6. PTWAS: investigating tissue-relevant causal molecular mechanisms of complex traits using probabilistic TWAS analysis. Genome Biol. 2020 09 11; 21(1):232.
    View in: PubMed
    Score: 0.105
  7. Efficient Integrative Multi-SNP Association Analysis via Deterministic Approximation of Posteriors. Am J Hum Genet. 2016 06 02; 98(6):1114-1129.
    View in: PubMed
    Score: 0.078
  8. Cross-population joint analysis of eQTLs: fine mapping and functional annotation. PLoS Genet. 2015 Apr; 11(4):e1005176.
    View in: PubMed
    Score: 0.072
  9. Which Genetics Variants in DNase-Seq Footprints Are More Likely to Alter Binding? PLoS Genet. 2016 Feb; 12(2):e1005875.
    View in: PubMed
    Score: 0.019
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.