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Leveraging allelic imbalance to refine fine-mapping for eQTL studies.
Zou, Jennifer; Hormozdiari, Farhad; Jew, Brandon; Castel, Stephane E; Lappalainen, Tuuli; Ernst, Jason; Sul, Jae Hoon; Eskin, Eleazar.
Affiliation
  • Zou J; Computer Science Department, University of California Los Angeles, Los Angeles, California, United States of America.
  • Hormozdiari F; Genetic Epidemiology and Statistical Genetics Program, Harvard University, Cambridge, Massachusetts, United States of America.
  • Jew B; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America.
  • Castel SE; Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, California, United States of America.
  • Lappalainen T; New York Genome Center, New York, New York, United States of America.
  • Ernst J; Department of Systems Biology, Columbia University, New York, New York, United States of America.
  • Sul JH; New York Genome Center, New York, New York, United States of America.
  • Eskin E; Department of Systems Biology, Columbia University, New York, New York, United States of America.
PLoS Genet ; 15(12): e1008481, 2019 12.
Article in En | MEDLINE | ID: mdl-31834882
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Chromatin / Chromosome Mapping / Allelic Imbalance / Quantitative Trait Loci Type of study: Prognostic_studies Limits: Humans Language: En Journal: PLoS Genet Journal subject: GENETICA Year: 2019 Document type: Article Affiliation country: United States Country of publication: United States
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Chromatin / Chromosome Mapping / Allelic Imbalance / Quantitative Trait Loci Type of study: Prognostic_studies Limits: Humans Language: En Journal: PLoS Genet Journal subject: GENETICA Year: 2019 Document type: Article Affiliation country: United States Country of publication: United States