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Genetics in Medicine | 2013

The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future

Omri Gottesman; Helena Kuivaniemi; Gerard Tromp; W. Andrew Faucett; Rongling Li; Teri A. Manolio; Saskia C. Sanderson; Joseph Kannry; Randi E. Zinberg; Melissa A. Basford; Murray H. Brilliant; David J. Carey; Rex L. Chisholm; Christopher G. Chute; John J. Connolly; David R. Crosslin; Joshua C. Denny; Carlos J. Gallego; Jonathan L. Haines; Hakon Hakonarson; John B. Harley; Gail P. Jarvik; Isaac S. Kohane; Iftikhar J. Kullo; Eric B. Larson; Catherine A. McCarty; Marylyn D. Ritchie; Dan M. Roden; Maureen E. Smith; Erwin P. Bottinger

The Electronic Medical Records and Genomics Network is a National Human Genome Research Institute–funded consortium engaged in the development of methods and best practices for using the electronic medical record as a tool for genomic research. Now in its sixth year and second funding cycle, and comprising nine research groups and a coordinating center, the network has played a major role in validating the concept that clinical data derived from electronic medical records can be used successfully for genomic research. Current work is advancing knowledge in multiple disciplines at the intersection of genomics and health-care informatics, particularly for electronic phenotyping, genome-wide association studies, genomic medicine implementation, and the ethical and regulatory issues associated with genomics research and returning results to study participants. Here, we describe the evolution, accomplishments, opportunities, and challenges of the network from its inception as a five-group consortium focused on genotype–phenotype associations for genomic discovery to its current form as a nine-group consortium pivoting toward the implementation of genomic medicine.Genet Med 15 10, 761–771.Genetics in Medicine (2013); 15 10, 761–771. doi:10.1038/gim.2013.72


Journal of Vascular Surgery | 1999

The matrix metalloproteinase inhibitor BB-94 limits expansion of experimental abdominal aortic aneurysms

David A. Bigatel; James R. Elmore; David J. Carey; Gunay Cizmeci-Smith; David P. Franklin; Jerry R. Youkey

PURPOSEnMatrix metalloproteinases (MMPs) are proteolytic enzymes that can degrade the extracellular matrix of the aortic wall and lead to the formation of abdominal aortic aneurysms (AAAs). MMP inhibitors are a class of drugs that were developed to inhibit the activity of these proteolytic enzymes and are currently being studied as a way to control inflammatory diseases and cancer metastases. In this project, BB-94 (also known as batimastat), a specific inhibitor of MMPs, was evaluated for its ability to control aneurysmal growth in an experimental AAA model.nnnMETHODSnExperimental AAAs were created in a standard rat model by perfusing elastase into an isolated segment of aorta. The rats then were randomized to postoperatively undergo treatment daily with the MMP inhibitor BB-94 or the carrier control solution. Measurements of the aortic diameter were made at the time of initial surgery and at the time of death on postoperative day 7. Aortic tissue was obtained for histologic examination, elastin evaluation, and MAC 1-alpha antibody staining to evaluate the inflammatory response.nnnRESULTSnThe rats that underwent treatment with BB-94 had significantly less aneurysmal dilatation and a 113% increase in aortic size, as compared with the control rats that had a 157% increase (P =.026). Histologic examination of the harvested aortas and grading of the elastin content showed a significantly greater elastin preservation in those rats that were treated with BB-94 as compared with the control rats (P =.036). MAC 1-alpha antibody staining showed an attenuation of the inflammatory response in the group of rats that underwent treatment with BB-94. Morphologic examination also revealed that the control of the inflammatory response correlated with the areas of elastin preservation.nnnCONCLUSIONnMMP inhibition with BB-94 limited the expansion of AAAs in this rat model. BB-94 appears to work not only as a direct pharmacologic inhibitor of MMPs but also as an interference with the inflammatory response seen in AAAs. Control of the inflammatory response was an unexpected result and may be related to the alterations in feedback mechanisms that are related to extracellular matrix degradation. Because this class of drugs is presently being developed to control the MMP inflammatory response seen with arthritis, these drugs also may ultimately serve as a pharmacologic treatment for patients with AAAs.


JAMA | 2016

Association of Arrhythmia-Related Genetic Variants With Phenotypes Documented in Electronic Medical Records.

Sara L. Van Driest; Quinn S. Wells; Sarah Stallings; William S. Bush; Adam S. Gordon; Deborah A. Nickerson; Jerry H. Kim; David R. Crosslin; Gail P. Jarvik; David Carrell; James D. Ralston; Eric B. Larson; Suzette J. Bielinski; Janet E. Olson; Zi Ye; Iftikhar J. Kullo; Noura S. Abul-Husn; Stuart A. Scott; Erwin P. Bottinger; Berta Almoguera; John J. Connolly; Rosetta M. Chiavacci; Hakon Hakonarson; Laura J. Rasmussen-Torvik; Vivian Pan; Stephen D. Persell; Maureen E. Smith; Rex L. Chisholm; Terrie Kitchner; Max M. He

IMPORTANCEnLarge-scale DNA sequencing identifies incidental rare variants in established Mendelian disease genes, but the frequency of related clinical phenotypes in unselected patient populations is not well established. Phenotype data from electronic medical records (EMRs) may provide a resource to assess the clinical relevance of rare variants.nnnOBJECTIVEnTo determine the clinical phenotypes from EMRs for individuals with variants designated as pathogenic by expert review in arrhythmia susceptibility genes.nnnDESIGN, SETTING, AND PARTICIPANTSnThis prospective cohort study included 2022 individuals recruited for nonantiarrhythmic drug exposure phenotypes from October 5, 2012, to September 30, 2013, for the Electronic Medical Records and Genomics Network Pharmacogenomics project from 7 US academic medical centers. Variants in SCN5A and KCNH2, disease genes for long QT and Brugada syndromes, were assessed for potential pathogenicity by 3 laboratories with ion channel expertise and by comparison with the ClinVar database. Relevant phenotypes were determined from EMRs, with data available from 2002 (or earlier for some sites) through September 10, 2014.nnnEXPOSURESnOne or more variants designated as pathogenic in SCN5A or KCNH2.nnnMAIN OUTCOMES AND MEASURESnArrhythmia or electrocardiographic (ECG) phenotypes defined by International Classification of Diseases, Ninth Revision (ICD-9) codes, ECG data, and manual EMR review.nnnRESULTSnAmong 2022 study participants (median age, 61 years [interquartile range, 56-65 years]; 1118 [55%] female; 1491 [74%] white), a total of 122 rare (minor allele frequency <0.5%) nonsynonymous and splice-site variants in 2 arrhythmia susceptibility genes were identified in 223 individuals (11% of the study cohort). Forty-two variants in 63 participants were designated potentially pathogenic by at least 1 laboratory or ClinVar, with low concordance across laboratories (Cohen κu2009=u20090.26). An ICD-9 code for arrhythmia was found in 11 of 63 (17%) variant carriers vs 264 of 1959 (13%) of those without variants (difference, +4%; 95% CI, -5% to +13%; Pu2009=u2009.35). In the 1270 (63%) with ECGs, corrected QT intervals were not different in variant carriers vs those without (median, 429 vs 439 milliseconds; difference, -10 milliseconds; 95% CI, -16 to +3 milliseconds; Pu2009=u2009.17). After manual review, 22 of 63 participants (35%) with designated variants had any ECG or arrhythmia phenotype, and only 2 had corrected QT interval longer than 500 milliseconds.nnnCONCLUSIONS AND RELEVANCEnAmong laboratories experienced in genetic testing for cardiac arrhythmia disorders, there was low concordance in designating SCN5A and KCNH2 variants as pathogenic. In an unselected population, the putatively pathogenic genetic variants were not associated with an abnormal phenotype. These findings raise questions about the implications of notifying patients of incidental genetic findings.


JAMA | 2017

Association of Rare and Common Variation in the Lipoprotein Lipase Gene With Coronary Artery Disease.

Amit Khera; Hong-Hee Won; Gina M. Peloso; Colm O'Dushlaine; Dajiang J. Liu; Nathan O. Stitziel; Pradeep Natarajan; Akihiro Nomura; Connor A. Emdin; Namrata Gupta; Ingrid B. Borecki; Rosanna Asselta; Stefano Duga; Piera Angelica Merlini; Adolfo Correa; Thorsten Kessler; James G. Wilson; Matthew J. Bown; Alistair S. Hall; Peter S. Braund; David J. Carey; Michael F. Murray; H. Lester Kirchner; Joseph B. Leader; Daniel R. Lavage; J. Neil Manus; Dustin N. Hartzel; Nilesh J. Samani; Heribert Schunkert; Jaume Marrugat

Importance The activity of lipoprotein lipase (LPL) is the rate-determining step in clearing triglyceride-rich lipoproteins from the circulation. Mutations that damage the LPL gene (LPL) lead to lifelong deficiency in enzymatic activity and can provide insight into the relationship of LPL to human disease. Objective To determine whether rare and/or common variants in LPL are associated with early-onset coronary artery disease (CAD). Design, Setting, and Participants In a cross-sectional study, LPL was sequenced in 10 CAD case-control cohorts of the multinational Myocardial Infarction Genetics Consortium and a nested CAD case-control cohort of the Geisinger Health System DiscovEHR cohort between 2010 and 2015. Common variants were genotyped in up to 305u2009699 individuals of the Global Lipids Genetics Consortium and up to 120u2009600 individuals of the CARDIoGRAM Exome Consortium between 2012 and 2014. Study-specific estimates were pooled via meta-analysis. Exposures Rare damaging mutations in LPL included loss-of-function variants and missense variants annotated as pathogenic in a human genetics database or predicted to be damaging by computer prediction algorithms trained to identify mutations that impair protein function. Common variants in the LPL gene region included those independently associated with circulating triglyceride levels. Main Outcomes and Measures Circulating lipid levels and CAD. Results Among 46u2009891 individuals with LPL gene sequencing data available, the mean (SD) age was 50 (12.6) years and 51% were female. A total of 188 participants (0.40%; 95% CI, 0.35%-0.46%) carried a damaging mutation in LPL, including 105 of 32u2009646 control participants (0.32%) and 83 of 14u2009245 participants with early-onset CAD (0.58%). Compared with 46u2009703 noncarriers, the 188 heterozygous carriers of an LPL damaging mutation displayed higher plasma triglyceride levels (19.6 mg/dL; 95% CI, 4.6-34.6 mg/dL) and higher odds of CAD (odds ratiou2009=u20091.84; 95% CI, 1.35-2.51; Pu2009<u2009.001). An analysis of 6 common LPL variants resulted in an odds ratio for CAD of 1.51 (95% CI, 1.39-1.64; Pu2009=u20091.1u2009×u200910−22) per 1-SD increase in triglycerides. Conclusions and Relevance The presence of rare damaging mutations in LPL was significantly associated with higher triglyceride levels and presence of coronary artery disease. However, further research is needed to assess whether there are causal mechanisms by which heterozygous lipoprotein lipase deficiency could lead to coronary artery disease.


Journal of Biological Chemistry | 2006

Cytoplasmic tail of phospholemman interacts with the intracellular loop of the cardiac Na+/Ca2+ exchanger.

JuFang Wang; Xue Qian Zhang; Belinda A. Ahlers; Lois L. Carl; Jianliang Song; Lawrence I. Rothblum; Richard C. Stahl; David J. Carey; Joseph Y. Cheung

Phospholemman (PLM), a member of the FXYD family of small ion transport regulators, inhibits cardiac Na+/Ca2+ exchanger (NCX1). NCX1 is made up of N-terminal domain consisting of the first five transmembrane segments (residues 1-217), a large intracellular loop (residues 218-764), and a C-terminal domain comprising the last four transmembrane segments (residues 765-938). Using glutathione S-transferase (GST) pull-down assay, we demonstrated that the intracellular loop, but not the N- or C-terminal transmembrane domains of NCX1, was associated with PLM. Further analysis using protein constructs of GST fused to various segments of the intracellular loop of NCX1 suggest that PLM bound to residues 218-371 and 508-764 but not 371-508. Split Na+/Ca2+ exchangers consisting of N- or C-terminal domains with different lengths of the intracellular loop were co-expressed with PLM in HEK293 cells that are devoid of endogenous PLM and NCX1. Although expression of N-terminal but not C-terminal domain alone resulted in correct membrane targeting, co-expression of both N- and C-terminal domains was required for correct membrane targeting and functional exchange activity. NCX1 current measurements indicate that PLM decreased NCX1 current only when the split exchangers contained residues 218-358 of the intracellular loop. Co-immunoprecipitation experiments with PLM and split exchangers suggest that PLM associated with the N-terminal domain of NCX1 when it contained intracellular loop residues 218-358. TM43, a PLM mutant with its cytoplasmic tail truncated, did not co-immunoprecipitate with wild-type NCX1 when co-expressed in HEK293 cells, confirming little to no interaction between the transmembrane domains of PLM and NCX1. We conclude that PLM interacted with the intracellular loop of NCX1, most likely at residues 218-358.


Clinical Pharmacology & Therapeutics | 2016

Genetic variation among 82 pharmacogenes: The PGRNseq data from the eMERGE network

William S. Bush; David R. Crosslin; A. Owusu-Obeng; John R. Wallace; Berta Almoguera; Melissa A. Basford; Suzette J. Bielinski; David Carrell; John J. Connolly; Dana C. Crawford; Kimberly F. Doheny; Carlos J. Gallego; Adam S. Gordon; Brendan J. Keating; Jacqueline Kirby; Terrie Kitchner; Shannon Manzi; A. R. Mejia; Vivian Pan; Cassandra Perry; Josh F. Peterson; Cynthia A. Prows; James D. Ralston; Stuart A. Scott; Aaron Scrol; Maureen E. Smith; Sarah Stallings; T. Veldhuizen; Wendy A. Wolf; Simona Volpi

Genetic variation can affect drug response in multiple ways, although it remains unclear how rare genetic variants affect drug response. The electronic Medical Records and Genomics (eMERGE) Network, collaborating with the Pharmacogenomics Research Network, began eMERGE‐PGx, a targeted sequencing study to assess genetic variation in 82 pharmacogenes critical for implementation of “precision medicine.” The February 2015 eMERGE‐PGx data release includes sequence‐derived data from ∼5,000 clinical subjects. We present the variant frequency spectrum categorized by variant type, ancestry, and predicted function. We found 95.12% of genes have variants with a scaled Combined Annotation‐Dependent Depletion score above 20, and 96.19% of all samples had one or more Clinical Pharmacogenetics Implementation Consortium Level A actionable variants. These data highlight the distribution and scope of genetic variation in relevant pharmacogenes, identifying challenges associated with implementing clinical sequencing for drug treatment at a broader level, underscoring the importance for multifaceted research in the execution of precision medicine.


Frontiers in Genetics | 2014

Phenome Wide Association Studies demonstrating pleiotropy of genetic variants within FTO with and without adjustment for body mass index

Robert M. Cronin; Julie R. Field; Yuki Bradford; Christian M. Shaffer; Robert J. Carroll; Jonathan D. Mosley; Todd L. Edwards; Scott J. Hebbring; Simon Lin; Lucia A. Hindorff; Paul K. Crane; Sarah A. Pendergrass; Marylyn D. Ritchie; Dana C. Crawford; Jyotishman Pathak; Suzette J. Bielinski; David Carrell; David R. Crosslin; David H. Ledbetter; David J. Carey; Gerard Tromp; Marc S. Williams; Eric B. Larson; Gail P. Jarvik; Peggy L. Peissig; Murray H. Brilliant; Catherine A. McCarty; Christopher G. Chute; Iftikhar J. Kullo; Erwin P. Bottinger

Phenome-wide association studies (PheWAS) have demonstrated utility in validating genetic associations derived from traditional genetic studies as well as identifying novel genetic associations. Here we used an electronic health record (EHR)-based PheWAS to explore pleiotropy of genetic variants in the fat mass and obesity associated gene (FTO), some of which have been previously associated with obesity and type 2 diabetes (T2D). We used a population of 10,487 individuals of European ancestry with genome-wide genotyping from the Electronic Medical Records and Genomics (eMERGE) Network and another population of 13,711 individuals of European ancestry from the BioVU DNA biobank at Vanderbilt genotyped using Illumina HumanExome BeadChip. A meta-analysis of the two study populations replicated the well-described associations between FTO variants and obesity (odds ratio [OR] = 1.25, 95% Confidence Interval = 1.11–1.24, p = 2.10 × 10−9) and FTO variants and T2D (OR = 1.14, 95% CI = 1.08–1.21, p = 2.34 × 10−6). The meta-analysis also demonstrated that FTO variant rs8050136 was significantly associated with sleep apnea (OR = 1.14, 95% CI = 1.07–1.22, p = 3.33 × 10−5); however, the association was attenuated after adjustment for body mass index (BMI). Novel phenotype associations with obesity-associated FTO variants included fibrocystic breast disease (rs9941349, OR = 0.81, 95% CI = 0.74–0.91, p = 5.41 × 10−5) and trends toward associations with non-alcoholic liver disease and gram-positive bacterial infections. FTO variants not associated with obesity demonstrated other potential disease associations including non-inflammatory disorders of the cervix and chronic periodontitis. These results suggest that genetic variants in FTO may have pleiotropic associations, some of which are not mediated by obesity.


Pharmacogenomics Journal | 2016

A genome-wide association study identifies variants in KCNIP4 associated with ACE inhibitor-induced cough.

Jonathan D. Mosley; Christian M. Shaffer; S L Van Driest; Peter Weeke; Quinn S. Wells; Jason H. Karnes; D.R. Velez Edwards; W-Q Wei; Pedro L. Teixeira; Dana C. Crawford; Rongling Li; Teri A. Manolio; Erwin P. Bottinger; Catherine A. McCarty; James G. Linneman; Murray H. Brilliant; Jennifer A. Pacheco; Will Thompson; Rex L. Chisholm; Gail P. Jarvik; David R. Crosslin; David Carrell; E. Baldwin; James D. Ralston; Eric B. Larson; J Grafton; Aaron Scrol; Hayan Jouni; Iftikhar J. Kullo; Gerard Tromp

The most common side effect of angiotensin-converting enzyme inhibitor (ACEi) drugs is cough. We conducted a genome-wide association study (GWAS) of ACEi-induced cough among 7080 subjects of diverse ancestries in the Electronic Medical Records and Genomics (eMERGE) network. Cases were subjects diagnosed with ACEi-induced cough. Controls were subjects with at least 6 months of ACEi use and no cough. A GWAS (1595 cases and 5485 controls) identified associations on chromosome 4 in an intron of KCNIP4. The strongest association was at rs145489027 (minor allele frequency=0.33, odds ratio (OR)=1.3 (95% confidence interval (CI): 1.2–1.4), P=1.0 × 10−8). Replication for six single-nucleotide polymorphisms (SNPs) in KCNIP4 was tested in a second eMERGE population (n=926) and in the Genetics of Diabetes Audit and Research in Tayside, Scotland (GoDARTS) cohort (n=4309). Replication was observed at rs7675300 (OR=1.32 (1.01–1.70), P=0.04) in eMERGE and at rs16870989 and rs1495509 (OR=1.15 (1.01–1.30), P=0.03 for both) in GoDARTS. The combined association at rs1495509 was significant (OR=1.23 (1.15–1.32), P=1.9 × 10−9). These results indicate that SNPs in KCNIP4 may modulate ACEi-induced cough risk.


The New England Journal of Medicine | 2018

A Protein-Truncating HSD17B13 Variant and Protection from Chronic Liver Disease

Noura S. Abul-Husn; Xiping Cheng; Alexander H. Li; Yurong Xin; Claudia Schurmann; Panayiotis Stevis; Y. Liu; Julia Kozlitina; Stefan Stender; G. Craig Wood; Ann N. Stepanchick; Matthew D. Still; Shane McCarthy; Colm O’Dushlaine; Jonathan S. Packer; Suganthi Balasubramanian; Nehal Gosalia; David Esopi; Sun Y. Kim; Semanti Mukherjee; Alexander E. Lopez; Erin D. Fuller; John Penn; Xin Chu; Jonathan Z. Luo; Uyenlinh L. Mirshahi; David J. Carey; Christopher D. Still; Michael Feldman; Aeron Small

BACKGROUND Elucidation of the genetic factors underlying chronic liver disease may reveal new therapeutic targets. METHODS We used exome sequence data and electronic health records from 46,544 participants in the DiscovEHR human genetics study to identify genetic variants associated with serum levels of alanine aminotransferase (ALT) and aspartate aminotransferase (AST). Variants that were replicated in three additional cohorts (12,527 persons) were evaluated for association with clinical diagnoses of chronic liver disease in DiscovEHR study participants and two independent cohorts (total of 37,173 persons) and with histopathological severity of liver disease in 2391 human liver samples. RESULTS A splice variant (rs72613567:TA) in HSD17B13, encoding the hepatic lipid droplet protein hydroxysteroid 17‐beta dehydrogenase 13, was associated with reduced levels of ALT (P=4.2×10‐12) and AST (P=6.2×10‐10). Among DiscovEHR study participants, this variant was associated with a reduced risk of alcoholic liver disease (by 42% [95% confidence interval {CI}, 20 to 58] among heterozygotes and by 53% [95% CI, 3 to 77] among homozygotes), nonalcoholic liver disease (by 17% [95% CI, 8 to 25] among heterozygotes and by 30% [95% CI, 13 to 43] among homozygotes), alcoholic cirrhosis (by 42% [95% CI, 14 to 61] among heterozygotes and by 73% [95% CI, 15 to 91] among homozygotes), and nonalcoholic cirrhosis (by 26% [95% CI, 7 to 40] among heterozygotes and by 49% [95% CI, 15 to 69] among homozygotes). Associations were confirmed in two independent cohorts. The rs72613567:TA variant was associated with a reduced risk of nonalcoholic steatohepatitis, but not steatosis, in human liver samples. The rs72613567:TA variant mitigated liver injury associated with the risk‐increasing PNPLA3 p.I148M allele and resulted in an unstable and truncated protein with reduced enzymatic activity. CONCLUSIONS A loss‐of‐function variant in HSD17B13 was associated with a reduced risk of chronic liver disease and of progression from steatosis to steatohepatitis. (Funded by Regeneron Pharmaceuticals and others.)


PLOS ONE | 2014

Yes-Associated Protein (YAP) Modulates Oncogenic Features and Radiation Sensitivity in Endometrial Cancer

Masahiro Tsujiura; Virginia Mazack; Marius Sudol; Hanna G. Kaspar; J.D. Nash; David J. Carey; Radhika Gogoi

Background Yes-associated protein (YAP) is a transcriptional co-activator and regulates cell proliferation and apoptosis. We investigated the clinical and biological significance of YAP in endometrial cancer (EMCA). Methods YAP expression in 150 primary tumor tissues from patients with EMCA was evaluated by immunohistochemistry and its association with clinicopathological data was assessed. The biological functions of YAP were determined in EMCA cell lines through knockdown/overexpression of YAP. The role of YAP in modulating radiation sensitivity was also investigated in EMCA cells. Results Increased nuclear YAP expression was significantly associated with higher grade, stage, lympho-vascular space invasion, postoperative recurrence/metastasis and overall survival in estrogen mediated EMCA, called type 1 cancer (pu200a=u200a0.019, u200a=u200a0.028, u200a=u200a0.0008, u200a=u200a0.046 and u200a=u200a0.015, respectively). In multivariate analysis, nuclear YAP expression was confirmed as an independent prognostic factor for overall survival in type 1 EMCA. YAP knockdown by siRNA resulted in a significant decrease in cell proliferation (p<0.05), anchorage-dependent growth (pu200a=u200a0.015) and migration/invasion (p<0.05), and a significant increase in the number of cells in G0/G1 phase (pu200a=u200a0.002). Conversely, YAP overexpression promoted cell proliferation. Clonogenic assay demonstrated enhanced radiosensitivity by approximately 36% in YAP inhibited cells. Conclusions Since YAP functions as a transcriptional co-activator, its differential localization in the nucleus of cancer cells and subsequent impact on cell proliferation could have important consequences with respect to its role as an oncogene in EMCA. Nuclear YAP expression could be useful as a prognostic indicator or therapeutic target and predict radiation sensitivity in patients with EMCA.

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Joseph Y. Cheung

Penn State Milton S. Hershey Medical Center

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Eric B. Larson

Group Health Research Institute

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Gail P. Jarvik

University of Washington

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