title: Fishing for Function in the Human Gene Pool.
abstract: Identification and characterization of causal non-coding variants in human genomes is challenging and requires substantial experimental resources. A new study by Tehranchi et al. describes a cost-effective approach for accurate mapping of molecular quantitative trait loci (QTLs) from pooled samples, a powerful way to link disease-associated changes to molecular functions.
authors.affiliation: Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
authors.forename: Iros
authors.initials: I
authors.lastname: Barozzi
authors.affiliation: Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; US Department of Energy Joint Genome Institute, Walnut Creek, CA 94598, USA; School of Natural Sciences, University of California, Merced, California, USA. Electronic address: avisel@lbl.gov.
authors.forename: Axel
authors.initials: A
authors.lastname: Visel
authors.affiliation: Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA. Electronic address: dedickel@lbl.gov.
authors.forename: Diane E
authors.initials: DE
authors.lastname: Dickel
mesh_terms: D002874:Chromosome Mapping; D005788:Gene Pool; D030342:Genetic Diseases, Inborn / Q000235:genetics*; D014644:Genetic Variation; D015894:Genome, Human; D006801:Humans; D020641:Polymorphism, Single Nucleotide / Q000235:genetics; D040641:Quantitative Trait Loci / Q000235:genetics*; D012045:Regulatory Sequences, Nucleic Acid / Q000235:genetics*
keywords: GWAS; QTL; cis-regulation; non-coding DNA