ALBERT

Description: The natural history of chronic hepatitis C (HCV) infections in long-term leukemia survivors has not been well characterized. We studied the prevalence of HCV infections, measured HCV RNA levels, and evaluated the severity of liver disease in patients with leukemia who achieved long-term remissions after intensive chemotherapy or bone marrow transplantation (BMT). HCV antibody tests were performed by the enzyme-linked immunosorbent assay (ELISA) and positive tests confirmed by the recombinant immunoblot assay (RIBA). HCV RNA levels were measured by the branched DNA (bDNA) assay. Seventy-five leukemia survivors with 25 or more blood donor exposures were identified. Nine (12%) were anti-HCV positive. All were infected before 1992 when second generation HCV screening tests were implemented. Mean HCV RNA levels were 10.3 ×106 eq/mL versus 3.2 × 106 eq/mL (P = .056) in a control group of 20 anti-HCV positive immunocompetent individuals of comparable age who were infected twice as long (17.8 ± 6.5 years v 9.0 ± 4.4 years in leukemia survivors, P = .001). Liver biopsies were performed on six of the nine anti-HCV positive leukemia survivors. All showed at least moderate portal inflammation and half had evidence of bridging fibrosis. We conclude that viral loads in anti-HCV positive leukemia survivors are markedly higher than in immunocompetent controls. Our results suggest that long-term leukemia survivors with chronic HCV may have more rapidly progressive liver disease than has been previously recognized.

Description: Background The ability of a person with hemophilia to adhere to treatment recommendations aimed at preventing and controlling bleeding likely impacts clinical outcomes and resource utilization. Annual cost of replacement factor for persons with severe hemophilia on prophylaxis is estimated to be as high as $300,000 per year (Johnson KA and Zhou ZY. ASH Annual Meeting Educational Program. 2011; 413-418). Hemophilia care is optimized when delivered by a highly specialized hemophilia treatment center (HTC) (Soucie et al. Blood. 2000; 96: 437-442). Consolidation of care for persons with hemophilia from a large geographic region within an HTC results in demographic heterogeneity that may impact an individual's ability to adhere to treatment recommendations. Little is known regarding the impact of socio-demographic factors on treatment outcomes for persons with hemophilia. The purpose of this study was to identify disease-related, treatment-related and demographic variables that have a significant impact on morbidity and resource utilization. Methods We identified 69 persons with severe hemophilia treated at our HTC between June 2009 and June 2012. We collected data for the variables listed below in table 1. To assess morbidity and resource utilization, we collected data for total factor use, total outpatient cost, total inpatient cost, frequency of inpatient and outpatient encounters and length of stay when hospitalized. Risk factors were identified using linear regression. A subset analysis was performed to evaluate the impact of prophylaxis on patients without inhibitors. All statistical analyses were performed using STATA (version 12.0 College Station, TX). Statistical significance was defined as P 〈 0.05. Results Age and inhibitor status were the only variables to significantly impact cost in both inpatient and outpatient settings (Table 1). The statistically significant beneficial impact of prophylaxis was confirmed by subgroup analysis of patients without inhibitors with respect to number of hospitalizations and length of stay, but not total cost. Conclusions Identifying and addressing potential barriers to care will likely reduce morbidity and cost for persons with hemophilia. Caregiver status and age are demographic variables that may contribute to poor medical adherence resulting in increased morbidity and cost of care for persons with severe hemophilia. Disclosures: No relevant conflicts of interest to declare.

Description: Background: Hemophilia A (HA) is an X-linked recessive disorder that affects males, whereas female carriers are presumed asymptomatic if Factor VIII activity levels (FVIII:C) fall within normal range. However, FVIII:C does not always correlate with bleeding phenotype, leading to an underappreciation of bleeding sequelae in females. Therefore, it is clinically important to identify HA carriers at higher bleeding risk. FVIII expression in HA carriers is influenced by X chromosome inactivation (XCI), a process that silences one X in XX females such that each cell has a random probability of inactivating either parental X. However, rare female carriers of X-linked disorders can be severely affected if XCI is skewed and the mutant X is preferentially active. How XCI skewing modulates bleeding in mild/moderate HA is less well understood. HA bleeding may be also affected by variants in factors influencing FVIII binding and clearance, including Von Willebrand Factor (VWF) and ABO blood type. To better understand HA carrier bleeding tendency, we analyzed a family that segregates a mild/moderate HA mutation (F8: c.2167G〉A). Four carriers in this pedigree have FVIII:C that approach affected males, necessitating prophylaxis prior to surgical procedures. We hypothesized that bleeding in these carriers can be largely explained by XCI skewing, but additional variants may fine tune FVIII:C. Methodology: FVIII levels were assessed by one stage (FVIII:C) and chromogenic (FVIII:CR) assays. At least two plasma samples spanning 〉3 years from each female were tested in duplicate with each FVIII assay. To address XCI skewing, we performed methylation-based assays at the Androgen Receptor (AR) and Fragile X Mental Retardation 1 (FMR1) loci. At least three independent PBMC DNA samples from each female were evaluated. Additionally, we screened VWF regions known to influence FVIII:C (exons 18-20, 24-27). Results: For each female, results between XCI assays were indistinguishable (r2 = 0.99). Two of four females had pronounced skewing (≥80:20); a third had measurable skewing (67:33). Importantly, all three predominantly expressed the mutant paternal allele. Familial XCI skewing argues for a genetic cause. However, XIST, the major regulator of XCI, lacked promoter alterations. Importantly, there was linear correlation between XCI skewing and FVIII:C measured by FVIII:C or FVIII:CR assays (r2 = 0.77 and 0.83, respectively). One female with random XCI, had FVIII:C considered hemostatic (median 51%, range 43-67), whereas the other females with skewed XCI had levels

Description: Background Factor VIII activity is determined by directly measuring the aPTT of a patient plasma sample and determining the percent activity from a standard curve generated from plotting the measured clotting time (in seconds) on a semi-log scale vs a known percent activity of the standard at several specific dilution points. Factor VIII activity for the patient samples is then performed on dilutions of patient plasma mixed with equal amounts of plasma deficient in the factor to be measured, and the percent of factor in the patient plasma is calculated from the standard curve by plotting the observed clotting time for a specific dilution of the patient sample. To minimize the potential for under-reporting an activity level or missing the presence of an inhibitor (defined as an antibody directed against Factor VIII), a subjective assessment of parallelism of the patient curve to the standard curve is performed. In absence of an inhibitor the standard and patient curves are parallel to each other with the patient curve’s slope (Ps) similar to the standard curve’s slope (Cs). In patients with an inhibitor, the clotting time is prolonged. Furthermore, with each subsequent dilution, the amount of inhibitor is diluted out, leading to shorter clotting times for subsequent dilutions. In practice this leads to a less steep patient curve slope (Ps) compared to the standard curve slope (Cs) and thus nonparallel lines. Aim Parallelism determination is currently a subjective assessment that leads to increased error in reporting, potential missed evaluation for inhibitors and potential unnecessary testing for inhibitors. We developed an objective and automated tool to assess parallelism as an added screening tool for the presence of a Factor VIII inhibitor. Methods We performed Factor VIII assays (Low Factor VIII assay modification on STA Compact using low curve calibration at 1:6, 1:15 and 1:30 dilution (STA Deficient VIII, Immuno-Depleted Plasma for Factor VIII:C assay by STA. Package insert 26217-revised September 1994)) at appropriate dilutions on Factor VIII deficient hemophilia patients. We examined curves for parallelism by comparing the ratio of the slope of the curve generated from patient dilutions without detectable inhibitor (disease-free state) and the slope of the curve generated from patient dilutions with a known inhibitor (disease state) vs the slope of the standard curve. We confirmed presence of an inhibitor for each patient sample by Bethesda assay utilizing the Nijmegen modification. Results Using a bell curve generated from a parameter simulation of obtained Ps/Cs ratios from screening 21 samples with and without an inhibitor, we determined a ratio of Ps/Cs of 0.45 to be a cut-off that was 100% sensitive and 80% specific for detection of an inhibitor. To confirm the validity of this cut-off, we screened 48 de-identified samples with and without low FVIII inhibitor (Bethesda titers

Description: Background: Hemophilia A (HA) is an X-linked disorder that primarily affects males, although female carriers can exhibit bleeding phenotypes. Factor VIII activity levels (FVIII:C) in XX females are influenced by X chromosome inactivation (XCI), a process that silences each parental X in a proportion of cells. XCI skewing can decrease FVIII expression by preferentially inactivating the normal X chromosome. FVIII:C is further modulated by factors such as ABO blood groups and von Willebrand factor (VWF). The D'/D3 domain of VWF binds circulating FVIII protein, preventing proteolytic degradation. In type 2 Normandy von Willebrand disease (2N VWD), D'/D3 mutations decrease affinity to FVIII and result in bleeding events similar to mild/moderate HA. Variants in VWF also affect the pharmacokinetics of recombinant FVIII. Current clinical screening tests detect the 3 VWF mutations responsible for 〉90% of 2N, but report variants not directly responsible for 2N as clinically benign. However, common polymorphisms are known to affect FVIII:C in normal individuals. Therefore, a better understanding of how specific alterations in VWF modulate HA phenotype is necessary to interpret clinical presentation and refine management with factor concentrates. This is particularly important in HA individuals carrying mild/moderate mutations. To evaluate VWF variants in HA carriers, we focused on an extended pedigree that includes four obligate carriers from a family with mild/moderate HA (FVIII: p.Ala723Thr). FVIII:C varied and largely correlated with XCI skewing. Nevertheless, the FVIII:VWF interaction prompted us to identify VWF gene variants that could further modulate FVIII:C and contribute to bleeding in this family. Methods: To identify D'/D3 VWF variants that impact FVIII binding, primers were designed to amplify exons 17-20 and 24-27 on chromosome 12. A chromosome 22 pseudogene, with 97% identity to VWF exons 24-34, complicated primer design. Primers specific to VWF were selected by targeting regions that differed from the pseudogene and were verified by digestion with a restriction enzyme unique to each chromosome 12 exon. The PCR products were amplified and sequenced from the four female carriers and a control male relative. Results: After excluding the three most common mutations responsible for 2N, seven other variants were identified. Four of these were intronic polymorphisms and a synonymous variant at p.Asn1138 not associated with VWD and presumed to be clinically benign. All but one of these have been described in normal individuals. Two females were heterozygous for missense variant rs1063856 (p.Thr789Ala) and synonymous polymorphism rs1063857 (p.Tyr795=) that are in linkage disequilibrium and are likely to impact FVIII:C and VWF antigen (VWF:Ag) levels. These common variants, found in up to 36% of Caucasians and 58% of African Americans, are reported to increase VWF:Ag and FVIII:C jn heterozygotes (9 IU/dL and 7 IU/dL respectively). Neither ABO blood groups nor XCI skewing could fully explain the differences in FVIII:C activity observed with this variant. Conclusions: We propose that VWF variants rs1063856/rs1063857 may contribute to FVIII:C differences between two females in the pedigree with similar XCI skewing. We conclude that consideration of VWF variants is important for fully understanding bleeding phenotype and treatment responses in female carriers and males in families with mild/moderate HA. These findings support the need for expanded studies into the role of FVIII and VWF variant interactions in additional unrelated HA individuals. Disclosures No relevant conflicts of interest to declare.

Description: Introduction: Although FVIII activity (FVIII:C) correlates with phenotype in most Hemophilia A males, some have bleeding phenotypes milder than predicted by FVIII:C. Analysis of these individuals may provide additional insight into the relationship between F8 genotype and bleeding phenotype, identify additional factors that modulate FVIII, refine the classification of Hemophilia A and improve clinical management. We present a male subject who carries a c.5999G〉C mutation in F8. This mutation has been reported in an individual with a severe bleeding phenotype in the EAHAD F8 Variant Database (www.factorviii-db.org). Our subject was serendipitously diagnosed at age 80, and has never had abnormal bleeding despite numerous challenges, including multiple dental extractions, adult circumcision, internal hemorrhoid ligation and cardiac catheterization. In an effort to resolve this genotype-phenotype discrepancy, we performed FVIII and von Willebrand Factor (VWF) assays, quantitated the extent of alternative splicing in F8, and screened for mutations in additional genes known to impact hemostasis. We validated a partial splicing defect that is consistent with mild Hemophilia A, but surprisingly cannot explain the lack of a bleeding phenotype. Methods: Peripheral blood was tested by one-stage FVIII:C and chromogenic FVIII assays, FVIII antigen ELISA, VWF antigen and activity assays, and von Willebrand Disease (VWD) Type 2 Normandy binding assay. To evaluate F8 splice variants, quantitative RT-PCR (qRT-PCR) was performed on RNA isolated from peripheral blood using primers that distinguish FVIII isoforms. Samples were tested in quadruplicate, with sample input normalized relative to GAPDH. Screening for exonic mutations in F8, F5, F2 and VWF genes was undertaken by Next Generation Sequencing (NGS). Results and Conclusions: In contrast to the previously reported severe c.5999G〉C patient, this subject has reduced FVIII activity consistent with mild Hemophilia A measured by both FVIII activity assays. FVIII antigen assessment by ELISA gave similar results (0.35 IU/mL). To better understand FVIII:C levels in this individual, we sought to characterize F8 transcript isoforms. The c.5999G〉C resides within the splice acceptor site of exon 19 and may result in two FVIII isoforms. One isoform produces a full-length FVIII containing a missense mutation (p.Gly2000Ala). The second isoform skips the 117 bp exon 19, but is predicted to retain an open reading frame; however, its location in the A3 domain likely disrupts secretion or function (Donadon et al., Haematologica 2018). The relative abundance of F8 variants evaluated by qRT-PCR demonstrated that despite a modest overall increase in F8 transcript relative to a normal control (1.6 fold higher expression of F8 at exon 18), the predominant isoform in this subject lacks exon 19, resulting in substantial depletion of the full-length isoform (0.3 relative to a normal control). These data indicate the full-length protein likely retains function, with transcript levels that explain residual FVIII activity. In an effort to explain absent bleeding phenotype, NGS was performed. The c.5999G〉C F8 mutation was confirmed, while the thrombophilic Factor V Leiden and Prothrombin G20210A mutations were excluded. Sequencing also excluded mutations implicated in Type 2 Normandy VWD. Additional clinical testing may provide an explanation. VWF was elevated as indicated by VWF antigen and Ristocetin cofactor activity (〉400%, 〉100%, respectively). Furthermore, VWF:FVIII binding activity by ELISA showed a higher than normal binding ratio (〉1.42). VWF multimer analysis indicated normal distribution. Therefore, we propose elevated VWF abrogates this subject's bleeding phenotype. Altogether, our study expands our understanding of the functional consequences of this mutation by demonstrating that this mutation can result in FVIII levels predicting mild Hemophilia A. This case also underscores the complexities of predicting phenotype for mutations that result in partial splicing defects. Perhaps more intriguing is the lack of bleeding phenotype in this elderly individual with numerous hemostatic challenges, that might be related to increased VWF. These data support additional studies investigating the role of VWF in ameliorating bleeding risk in Hemophilia A. Disclosures No relevant conflicts of interest to declare.

Description: Introduction: While Factor VIII (FVIII) activity correlates with phenotype in most Hemophilia A (HA) males, the study of rare individuals with discrepant bleeding phenotypes can provide insight into F8 genotype-bleeding phenotype relationships, refine HA classification and improve clinical management. We present an adult male subject who carries a F8 missense mutation, c.5999G〉C (p.Gly2000Ala), but remarkably has had no bleeding despite numerous challenges, including multiple surgeries. To resolve genotype-phenotype discrepancy, we evaluated F8 transcripts and screened for additional gene variants by exome sequencing. Methods: We performed clinical laboratory assays including one-stage FVIII:C and chromogenic FVIII assays, FVIII antigen ELISA, VWF antigen and activity assays, and von Willebrand Disease (VWD) Type 2 Normandy binding activity assay. The F8 c.5999G〉C mutation is proposed to affect F8 splicing, and result in a transcript that deletes exon 19. To evaluate F8 splice variants, quantitative reverse transcription polymerase chain reaction (qRT-PCR) was performed using primers that distinguish FVIII isoforms. Samples were normalized relative to a housekeeping gene, GAPDH. Normalized relative fold expression for each primer pair was calculated by the 2−ΔΔCT Livak method. Whole exome sequencing was performed at 80X coverage. Sequencing reads were mapped to the GRCh37/hg19 reference genome with BWA-MEM, and high-quality variant calls were made using GATK4.0 with annotation based on refSeq 1.9, employing best practice recommendations. Results: Clinical assays confirmed reduced FVIII activity levels consistent with mild HA. By qRT-PCR, the F8 mutation results in a partial splicing defect. Exon 19 deleted transcripts predominate, but are likely not secreted. Indeed, the reduced levels of full-length F8 isoform closely mirror measured FVIII protein and activity levels. These findings explain FVIII levels, but to do not explain the absent phenotype. Exome sequencing analysis first confirmed the F8 mutation and excluded other genetic causes of FVIII deficiency. Additionally, we excluded thrombophilic mutations proposed to attenuate bleeding severity in HA, including Factor V Leiden (c.1601G〉A, p. R534Q) and the c.*97G〉A (p.G20210A) mutation in the F2 gene encoding prothrombin. To identify additional variants that may modify hemostasis, we then screened for non-pathogenic variants in 96 genes that are known to be mutated in bleeding disorders or that alter FVIII clearance or half-life. Of 352 single nucleotide variants (SNVs) in these genes, we prioritized 10 non-synonymous variants with annotated effects on hemostasis. Of these, four are associated with functional effects that would potentiate bleeding phenotype in coagulation factor deficiency. In contrast, five variants are associated with prothrombotic effects and are strong candidates for ameliorating bleeding. Of these, two non-pathogenic VWF variants, rs1063856 and rs7962217, have been shown to increase FVIII. Three other variants in F5 reside within the R2 haplotype. R2 has effects in the absence of Factor V Leiden and can increase thrombin generation and FVIII levels. Conclusion: The identification of multiple variants that are expected to attenuate bleeding suggests that a single gene variant is unlikely to ameliorate bleeding phenotype in this subject, particularly in the presence of additional variants that promote bleeding. These results suggest evaluation of non-pathogenic variants in non-F8 genes may further explain other cases of discrepant HA not resolved by clinical assays. While these new modulators of HA phenotype require functional confirmation, they provide new avenues for therapeutic development. Disclosures Eyster: Bayer: Other: research support; Baxalta: Other: research support; Shire: Other: research support; NovoNordisk: Other: research support; SPARK: Other: research support.

Description: This 2-part, double-blind, placebo-controlled study was conducted to determine the safety and efficacy of etoricoxib, a COX-2 selective inhibitor, for the treatment of hemophilic arthropathy. In part 1 (6 weeks), 102 patients (≥ 12 years old) with hemophilic arthropathy were randomized to receive 90 mg etoricoxib once daily or placebo (1:1 ratio). In part 2 (6 months), 51 patients taking placebo in part 1 were randomized to receive 90 mg etoricoxib or 25 mg rofecoxib once daily; patients taking etoricoxib in part 1 continued the same treatment. Efficacy end points included Patient Assessment of Arthropathy Pain, Patient Global Assessment of Arthropathy Disease Status, and Investigator Global Assessment of Arthropathy Disease Status. Safety was evaluated at each study visit. Etoricoxib provided significant improvement in all end points versus placebo (P 〈 .001). Fewer patients taking etoricoxib discontinued due to a lack of efficacy versus placebo (P = .048). During part 2, efficacy was maintained; etoricoxib and rofecoxib demonstrated similar results. The most common adverse experiences were upper respiratory infection and headache. The incidence of joint bleeding during part 1 was similar between etoricoxib (66.7%) and placebo (72.6%) and during part 2 between etoricoxib (77.0%) and rofecoxib (78.9%). We conclude that etoricoxib provided superior efficacy versus placebo for the treatment of hemophilic arthropathy and was generally safe and well tolerated.

Description: Introduction: Over a three-year period, U.S. men with hemophilia were found to be 50 times more likely to die from renal disease than the general population (SMR 50; 95% CI 26.8-92.8) (Soucie et al., Blood 2000). Despite this finding, data regarding chronic kidney disease (CKD) and its risk factors in patients with hemophilia remain limited. The objective of this study is to determine the prevalence of CKD and CKD risk factors among older men with moderate and severe hemophilia. Methods: This CKD cohort study is an extension of a U.S. national study sponsored by the American Thrombosis and Hemostasis Network (ATHN). The study, entitled ATHN 1: A Cross-Sectional Analysis of Cardiovascular Disease (CVD) in the Hemophilia Population, began enrollment in 10/2012. Inclusion criteria are men with moderate or severe congenital hemophilia A or B (FVIII or IX level ≤ 5%), age 54-73. Men with an additional bleeding disorder (besides liver dysfunction) were excluded. In this extension study, CKD risk factors, historical creatinine levels, and history of renal events were obtained from patient interview and chart review after obtaining informed consent. Glomerular filtration rate (GFR) values were calculated using the CKD-EPI equation and compared to values in the general population using the NHANES dataset (Coresh et al., JAMA 2007). CKD is defined as the presence of either kidney damage or decreased kidney function with GFR 〈 60 ml/min/1.73 m2 for ≥ 3 months, irrespective of cause. Results: As of 6/30/2018, 134/200 planned subjects have been enrolled and interim analysis on 134 subjects from 18 U.S. hemophilia treatment centers (HTCs) is presented here. The majority were white (119; 88.8%) or African-American (13; 9.7%). Mean age was 64 years (SD: 5; range: 56-77). Most used factor on demand, with only 38.8% (52/134) on prophylaxis, defined as ≥2 doses of FVIII or ≥ 1 dose FIX/week. Four (3.0%) had a current inhibitor. Viral infection was common; 28.4% currently had hepatitis C, and 19.4% HIV. Hypertension (HTN) was reported in 51.5% of subjects, 14.9% diabetes mellitus (DM); and average BMI was 28.2 kg/m2 (36.6% obese). 11.6% (16/134) were found to have CVD (defined as angina, MI, TIA, or ischemic or embolic stroke). Acute kidney injury was common. Fasting blood work showed an abnormally elevated creatinine in 26.9% subjects (mean 1.1 mg/dl, SD 0.4). Mean historical maximum creatinine reported in the cohort was 1.0 (range 0.5-4.8), with mean GFR 67 (range 11-126). 11.4% (13/114) met the definition of CKD. Stages of CKD by GFR in the hemophilia cohort were similar to the NHANES general population (p=0.561). See Table 1 for subject reported history of renal events, and Table 2 for specific diagnoses of renal disease. In our cohort, hemophilia subjects with CKD tended to have a diagnosis of intrinsic kidney disease (60.0% vs 11.6%, p=0.02), and non-significantly tended to have DM (23.1% vs 12.8%), age ≥65 years (21.1% vs 9.4%), and HTN (18.0% vs 9.8%) compared to subjects without CKD. No other significant trends were identified, including no association with CVD, HCV, HIV, BMI, or hematuria. Conclusions: In this interim analysis of an ongoing national prospective cohort study, older men with moderate to severe hemophilia commonly report risk factors for CKD, including HTN (51.5%), DM, viral infection, and potential renal damaging medication use. Only 11.6% had CVD. Urological symptoms were also common, including hematuria and obstructive symptoms with urination. In our cohort, 11.4% met the definition of CKD, defined as the presence of either kidney damage or GFR 〈 60 ml/min/1.73 m2 for ≥ 3 months. The distribution of GFR values appeared similar to the general population. As with risk factors associated with CKD in the general population, diagnosis of intrinsic kidney disease was significantly associated with CKD in hemophilia subjects, with non-significant trend for increased DM, older age, and HTN compared to subjects without CKD. It is reassuring that the prevalence of CKD does not appear to be increased in men with hemophilia compared to the general population, despite a known and unexplained high incidence of HTN in the hemophilia population. We plan to formally compare the prevalence of CKD and CKD risk factors with similarly aged men in the ARIC database once enrollment is complete, as understanding the risk factors that contribute to CKD is essential to halt its progression. Disclosures Sood: Bayer: Research Funding. Shapiro:BioMarin: Research Funding; Shire: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novo Nordisk: Membership on an entity's Board of Directors or advisory committees, Research Funding; Prometic Life Sciences: Consultancy, Research Funding; Kedrion Biopharma: Consultancy, Research Funding; Sangamo Biosciences: Consultancy; Octapharma: Research Funding; OPKO: Research Funding; Daiichi Sankyo: Research Funding; Bayer Healthcare: Other: International Network of Pediatric Hemophilia; Bio Products Laboratory: Consultancy; Genetech: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Bioverativ, a Sanofi Company: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Kessler:Biomarin: Research Funding; Dimension Advisory boards: Membership on an entity's Board of Directors or advisory committees; DSMB: Membership on an entity's Board of Directors or advisory committees; Sangamo: Research Funding; Novo Nordisk: Honoraria, Research Funding; Octapharma: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bayer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Key:UniQure BV: Research Funding. Quon:Bioverativ, a Sanofi Company: Speakers Bureau; NovoNordisk: Consultancy, Speakers Bureau; Bayer: Consultancy; Shire: Speakers Bureau; Genetech: Consultancy, Speakers Bureau; Octapharma: Consultancy. Manco-Johnson:Novo Nordisk: Honoraria; CSL Behring: Honoraria; Bayer AG: Honoraria, Research Funding; Biogentek: Honoraria; Baxalta, now part of Shire: Honoraria. Cuker:Kedrion: Membership on an entity's Board of Directors or advisory committees; Genzyme: Consultancy; Spark Therapeutics: Research Funding; Synergy: Consultancy. Ragni:Novo Nordisk: Research Funding; Shire: Research Funding; MOGAM: Membership on an entity's Board of Directors or advisory committees; Sangamo: Research Funding; Alnylam: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sangamo: Research Funding; SPARK: Consultancy, Research Funding; CSL Behring: Research Funding; Biomarin: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bioverativ: Consultancy, Research Funding; SPARK: Consultancy, Research Funding. von Drygalski:UniQure BV, Bayer, Bioverativ/Sanofi, Pfizer, Novo Nordisk, Biomarin, Shire, CSL Behring: Consultancy. Kouides:UniQure: Other: DSMB; Octapharma: Research Funding. Escobar:Bayer, CSL Behring, Genentech, Hemabiologics, Kedrion, Novo Nordisk, Octapharma, Pfizer and Shire: Consultancy; Pfizer: Research Funding. Wang:Daiichi Sankyo: Consultancy, Other: Travel. Konkle:Shire: Research Funding; Genentech: Consultancy; Bioverativ: Research Funding; BioMarin: Consultancy; Pfizer: Research Funding; Gilead: Consultancy; Spark: Consultancy, Research Funding; CSL Behring: Consultancy; Sangamo: Research Funding.