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      A Rapid Molecular Approach for Chromosomal Phasing

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          Abstract

          Determining the chromosomal phase of pairs of sequence variants – the arrangement of specific alleles as haplotypes – is a routine challenge in molecular genetics. Here we describe Drop-Phase, a molecular method for quickly ascertaining the phase of pairs of DNA sequence variants (separated by 1-200 kb) without cloning or manual single-molecule dilution. In each Drop-Phase reaction, genomic DNA segments are isolated in tens of thousands of nanoliter-sized droplets together with allele-specific fluorescence probes, in a single reaction well. Physically linked alleles partition into the same droplets, revealing their chromosomal phase in the co-distribution of fluorophores across droplets. We demonstrated the accuracy of this method by phasing members of trios (revealing 100% concordance with inheritance information), and demonstrate a common clinical application by phasing CFTR alleles at genomic distances of 11–116 kb in the genomes of cystic fibrosis patients. Drop-Phase is rapid (requiring less than 4 hours), scalable (to hundreds of samples), and effective at long genomic distances (200 kb).

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          Most cited references28

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          Identification of the cystic fibrosis gene: cloning and characterization of complementary DNA.

          Overlapping complementary DNA clones were isolated from epithelial cell libraries with a genomic DNA segment containing a portion of the putative cystic fibrosis (CF) locus, which is on chromosome 7. Transcripts, approximately 6500 nucleotides in size, were detectable in the tissues affected in patients with CF. The predicted protein consists of two similar motifs, each with (i) a domain having properties consistent with membrane association and (ii) a domain believed to be involved in ATP (adenosine triphosphate) binding. A deletion of three base pairs that results in the omission of a phenylalanine residue at the center of the first predicted nucleotide-binding domain was detected in CF patients.
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            Identification of the cystic fibrosis gene: genetic analysis.

            Approximately 70 percent of the mutations in cystic fibrosis patients correspond to a specific deletion of three base pairs, which results in the loss of a phenylalanine residue at amino acid position 508 of the putative product of the cystic fibrosis gene. Extended haplotype data based on DNA markers closely linked to the putative disease gene locus suggest that the remainder of the cystic fibrosis mutant gene pool consists of multiple, different mutations. A small set of these latter mutant alleles (about 8 percent) may confer residual pancreatic exocrine function in a subgroup of patients who are pancreatic sufficient. The ability to detect mutations in the cystic fibrosis gene at the DNA level has important implications for genetic diagnosis.
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              An erythroid enhancer of BCL11A subject to genetic variation determines fetal hemoglobin level.

              Genome-wide association studies (GWASs) have ascertained numerous trait-associated common genetic variants, frequently localized to regulatory DNA. We found that common genetic variation at BCL11A associated with fetal hemoglobin (HbF) level lies in noncoding sequences decorated by an erythroid enhancer chromatin signature. Fine-mapping uncovers a motif-disrupting common variant associated with reduced transcription factor (TF) binding, modestly diminished BCL11A expression, and elevated HbF. The surrounding sequences function in vivo as a developmental stage-specific, lineage-restricted enhancer. Genome engineering reveals the enhancer is required in erythroid but not B-lymphoid cells for BCL11A expression. These findings illustrate how GWASs may expose functional variants of modest impact within causal elements essential for appropriate gene expression. We propose the GWAS-marked BCL11A enhancer represents an attractive target for therapeutic genome engineering for the β-hemoglobinopathies.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                4 March 2015
                2015
                : 10
                : 3
                : e0118270
                Affiliations
                [1 ]Digital Biology Center, Bio-Rad Laboratories, Pleasanton, California, United States of America
                [2 ]Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
                [3 ]Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Cambridge, Massachusetts, United States of America
                Johns Hopkins University, UNITED STATES
                Author notes

                Competing Interests: We have read the journal’s policy and the authors of this manuscript have the following competing interests. Several of the authors are employees of Bio-Rad and own Bio-Rad stock through an employee stock purchase program; Bio-Rad sells droplet digital PCR systems that can be used to perform assays such as those in the paper. In addition, several authors are inventors on a patent application that includes claims related to measurement of linked DNA species in droplets. This does not alter the authors’ adherence to PLoS ONE policies on sharing data and materials.

                Conceived and designed the experiments: N. Kamitaki JFR GKN SM. Performed the experiments: N. Kamitaki TL SH CW. Analyzed the data: JFR ST N. Kamitaki N. Klitgord CW. Contributed reagents/materials/analysis tools: SC SH RK. Wrote the paper: JFR N. Kamitaki GKN ST SM.

                Article
                PONE-D-14-43178
                10.1371/journal.pone.0118270
                4349636
                25739099
                700a32fe-f346-4a18-81f5-b3b5615fcde0
                Copyright @ 2015

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 25 September 2014
                : 12 January 2015
                Page count
                Figures: 4, Tables: 1, Pages: 15
                Funding
                This work was supported by Broad Institute ( http://www.broadinstitute.org/). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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