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Kobren SN, Moldovan MA, Reimers R, Traviglia D, Li X, Barnum D, Veit A, Corona RI, Carvalho Neto GDV, Willett J, Berselli M, Ronchetti W, Nelson SF, Martinez-Agosto JA, Sherwood R, Krier J, Kohane IS, Sunyaev SR. Joint, multifaceted genomic analysis enables diagnosis of diverse, ultra-rare monogenic presentations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.13.580158. [PMID: 38405764 PMCID: PMC10888768 DOI: 10.1101/2024.02.13.580158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Genomics for rare disease diagnosis has advanced at a rapid pace due to our ability to perform "N-of-1" analyses on individual patients with ultra-rare diseases. The increasing sizes of ultra-rare disease cohorts internationally newly enables cohort-wide analyses for new discoveries, but well-calibrated statistical genetics approaches for jointly analyzing these patients are still under development.1,2 The Undiagnosed Diseases Network (UDN) brings multiple clinical, research and experimental centers under the same umbrella across the United States to facilitate and scale N-of-1 analyses. Here, we present the first joint analysis of whole genome sequencing data of UDN patients across the network. We introduce new, well-calibrated statistical methods for prioritizing disease genes with de novo recurrence and compound heterozygosity. We also detect pathways enriched with candidate and known diagnostic genes. Our computational analysis, coupled with a systematic clinical review, recapitulated known diagnoses and revealed new disease associations. We further release a software package, RaMeDiES, enabling automated cross-analysis of deidentified sequenced cohorts for new diagnostic and research discoveries. Gene-level findings and variant-level information across the cohort are available in a public-facing browser (https://dbmi-bgm.github.io/udn-browser/). These results show that N-of-1 efforts should be supplemented by a joint genomic analysis across cohorts.
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Affiliation(s)
| | | | | | - Daniel Traviglia
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA
| | - Xinyun Li
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT
| | | | - Alexander Veit
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA
| | - Rosario I. Corona
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA
| | - George de V. Carvalho Neto
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA
| | - Julian Willett
- Department of Pathology and Laboratory Medicine, NewYork-Presbyterian Weill Cornell Medical Center, New York, NY
| | - Michele Berselli
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA
| | - William Ronchetti
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA
| | - Stanley F. Nelson
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA
| | - Julian A. Martinez-Agosto
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA
| | - Richard Sherwood
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Joel Krier
- Department of Genetics, Atrius Health, Boston, MA
| | - Isaac S. Kohane
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA
| | | | - Shamil R. Sunyaev
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA
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2
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Alsentzer E, Finlayson SG, Li MM, Kobren SN, Kohane IS. Simulation of undiagnosed patients with novel genetic conditions. Nat Commun 2023; 14:6403. [PMID: 37828001 PMCID: PMC10570269 DOI: 10.1038/s41467-023-41980-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 09/26/2023] [Indexed: 10/14/2023] Open
Abstract
Rare Mendelian disorders pose a major diagnostic challenge and collectively affect 300-400 million patients worldwide. Many automated tools aim to uncover causal genes in patients with suspected genetic disorders, but evaluation of these tools is limited due to the lack of comprehensive benchmark datasets that include previously unpublished conditions. Here, we present a computational pipeline that simulates realistic clinical datasets to address this deficit. Our framework jointly simulates complex phenotypes and challenging candidate genes and produces patients with novel genetic conditions. We demonstrate the similarity of our simulated patients to real patients from the Undiagnosed Diseases Network and evaluate common gene prioritization methods on the simulated cohort. These prioritization methods recover known gene-disease associations but perform poorly on diagnosing patients with novel genetic disorders. Our publicly-available dataset and codebase can be utilized by medical genetics researchers to evaluate, compare, and improve tools that aid in the diagnostic process.
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Grants
- U01 HG007690 NHGRI NIH HHS
- U54 NS108251 NINDS NIH HHS
- U01 HG010219 NHGRI NIH HHS
- U01 HG007672 NHGRI NIH HHS
- U01 HG010233 NHGRI NIH HHS
- U01 HG010230 NHGRI NIH HHS
- U01 HG007943 NHGRI NIH HHS
- U01 HG010217 NHGRI NIH HHS
- U01 HG007942 NHGRI NIH HHS
- U01 HG010215 NHGRI NIH HHS
- U01 HG007708 NHGRI NIH HHS
- T32 HG002295 NHGRI NIH HHS
- T32 GM007753 NIGMS NIH HHS
- U01 HG007674 NHGRI NIH HHS
- U01 TR001395 NCATS NIH HHS
- U01 HG007709 NHGRI NIH HHS
- U54 NS093793 NINDS NIH HHS
- U01 HG007530 NHGRI NIH HHS
- U01 TR002471 NCATS NIH HHS
- U01 HG007703 NHGRI NIH HHS
- UDN research reported in this manuscript was supported by the NIH Common Fund, through the Office of Strategic Coordination/Office of the NIH Director under Award Number(s) U01HG007709, U01HG010219, U01HG010230, U01HG010217, U01HG010233, U01HG010215, U01HG007672, U01HG007690, U01HG007708, U01HG007703, U01HG007674, U01HG007530, U01HG007942, U01HG007943, U01TR001395, U01TR002471, U54NS108251, and U54NS093793.
- E.A. is supported by a Microsoft Research PhD Fellowship.
- S.F. is supported by award Number T32GM007753 from the National Institute of General Medical Sciences.
- M.L. is supported by T32HG002295 from the National Human Genome Research Institute and a National Science Foundation Graduate Research Fellowship.
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Affiliation(s)
- Emily Alsentzer
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA
- Program in Health Sciences and Technology, MIT, Cambridge, MA, 02139, USA
| | - Samuel G Finlayson
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA
- Program in Health Sciences and Technology, MIT, Cambridge, MA, 02139, USA
- Department of Pediatrics, Division of Genetic Medicine, Seattle Children's Hospital, Seattle, WA, 98105, USA
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, 98105, USA
| | - Michelle M Li
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA
- Bioinformatics and Integrative Genomics, Harvard Medical School, Boston, MA, 02115, USA
| | - Shilpa N Kobren
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA.
| | - Isaac S Kohane
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA.
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3
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Liu Y, Ren Y, Feng H, Wang Y, Yan L, Qiao J, Liu P. Development of preimplantation genetic testing for monogenic diseases in China. HUM FERTIL 2023; 26:879-886. [PMID: 38059330 DOI: 10.1080/14647273.2023.2284153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 10/31/2023] [Indexed: 12/08/2023]
Abstract
Preimplantation genetic testing for monogenic diseases (PGT-M) can effectively interrupt the transmission of genetic diseases from parents to the offspring before pregnancy. In China, there are over ten million individuals afflicted with monogenic disorders. This literature review summarizes the development of PGT-M in China for the past 24 years, covering the general steps such as the indications and contraindications, genetic and reproductive counselling, biopsy methods, detecting techniques and strategies during PGT-M application in China. The ethical considerations of PGT-M are also be emphasized, including sexual selection, transferring for mosaic embryos, the three-parent baby, and the different opinions for serious adult-onset conditions. Some key policies of the Chinese government for the application of PGT-M are also considered. Methods for regulation of this technique, as well as specific management to increase the accuracy and reliability of PGT-M, are regarded as priority issues in China. The third-generation sequencing and variants testing from RNA level, and non-invasive preimplantation genetic testing using blastocoel fluid and free DNA particles within spent blastocyst medium might be potential techniques and strategies for PGT-M in future.
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Affiliation(s)
- Yujun Liu
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, P. R. China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, P. R. China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, P. R. China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, P. R. China
| | - Yixin Ren
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, P. R. China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, P. R. China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, P. R. China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, P. R. China
| | - Hao Feng
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, P. R. China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, P. R. China
| | - Yuqian Wang
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, P. R. China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, P. R. China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, P. R. China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, P. R. China
| | - Liying Yan
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, P. R. China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, P. R. China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, P. R. China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, P. R. China
| | - Jie Qiao
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, P. R. China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, P. R. China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, P. R. China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, P. R. China
| | - Ping Liu
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, P. R. China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, P. R. China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, P. R. China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, P. R. China
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4
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Lv S, Zhao J, Xi L, Lin X, Wang C, Yue H, Gu J, Hu W, Fu W, Wei Z, Zhang H, Hu Y, Li S, Zhang Z. Genetics Evaluation of Targeted Exome Sequencing in 223 Chinese Probands With Genetic Skeletal Dysplasias. Front Cell Dev Biol 2021; 9:715042. [PMID: 34557487 PMCID: PMC8452955 DOI: 10.3389/fcell.2021.715042] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 08/16/2021] [Indexed: 12/21/2022] Open
Abstract
Genetic skeletal dysplasias (GSDs) are a type of disease with complex phenotype and high heterogeneity, characterized by cartilage and bone growth abnormalities. The variable phenotypes of GSD make clinical diagnosis difficult. To explore the clinical utility of targeted exome sequencing (TES) in the diagnosis of GSD, 223 probands with suspected GSD were enrolled for TES with a panel of 322 known disease-causing genes. After bioinformatics analysis, all candidate variants were prioritized by pathogenicity. Sanger sequencing was used to verify candidate variants in the probands and parents and to trace the source of variants in family members. We identified the molecular diagnoses for 110/223 probands from 24 skeletal disorder groups and confirmed 129 pathogenic/likely pathogenic variants in 48 genes. The overall diagnostic rate was 49%. The molecular diagnostic results modified the diagnosis in 25% of the probands, among which mucopolysaccharidosis and spondylo-epi-metaphyseal dysplasias were more likely to be misdiagnosed. The clinical management of 33% of the probands also improved; 21 families received genetic counseling; 4 families accepted prenatal genetic diagnosis, 1 of which was detected to carry pathogenic variants. The results showed that TES achieved a high diagnostic rate for GSD, helping clinicians confirm patients’ molecular diagnoses, formulate treatment directions, and carry out genetic counseling. TES could be an economical diagnostic method for patients with GSD.
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Affiliation(s)
- Shanshan Lv
- Shanghai Clinical Research Center of Bone Disease, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Jiao Zhao
- Shanghai Clinical Research Center of Bone Disease, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Lei Xi
- Shanghai Clinical Research Center of Bone Disease, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Xiaoyun Lin
- Shanghai Clinical Research Center of Bone Disease, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Chun Wang
- Shanghai Clinical Research Center of Bone Disease, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Hua Yue
- Shanghai Clinical Research Center of Bone Disease, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Jiemei Gu
- Shanghai Clinical Research Center of Bone Disease, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Weiwei Hu
- Shanghai Clinical Research Center of Bone Disease, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Wenzhen Fu
- Shanghai Clinical Research Center of Bone Disease, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Zhanying Wei
- Shanghai Clinical Research Center of Bone Disease, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Hao Zhang
- Shanghai Clinical Research Center of Bone Disease, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Yunqiu Hu
- Shanghai Clinical Research Center of Bone Disease, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Shanshan Li
- Shanghai Clinical Research Center of Bone Disease, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Zhenlin Zhang
- Shanghai Clinical Research Center of Bone Disease, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
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5
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Qi X, Xu J, Shan L, Li Y, Cui Y, Liu H, Wang K, Gao L, Kang Z, Wu Q. Economic burden and health related quality of life of ultra-rare Gaucher disease in China. Orphanet J Rare Dis 2021; 16:358. [PMID: 34380529 PMCID: PMC8356434 DOI: 10.1186/s13023-021-01963-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 07/18/2021] [Indexed: 11/25/2022] Open
Abstract
Background The diagnosis and health care of patients with rare diseases present a tremendous challenge worldwide. This study described the health care service utilization through participants’ perspective and estimated the cost of illness (COI), and patients with Gaucher disease (GD)’s/caregivers’ health-related quality of life in China. Method An online retrospective survey of patients with GD and their caregivers was conducted during May–June 2018. Socio-demographic, health service utilization, disease-related expenses, social support, sleep quality (Pittsburgh Sleep Quality Index [PSQI]), and the Short Form Health Survey (SF-36) were investigated. Using self-reported information, we estimated the annual COI, including direct healthcare, direct non-healthcare, and indirect costs. Results Forty patients and their 49 caregivers were surveyed. The patients’ onset age of GD was 9.3 ± 10.9; their disease course was 3.5 ± 3.1 years. 21 (42.9%) patients had ≥ 2 caregivers, but 35 (71.4%) caregivers reported have no experience as a caregiver. 79.6% caregivers have stopped working, and 87.8% changed weekly working schedule. Before final diagnosis, patients visited 3.9 ± 3.1 (max = 20) hospitals and took 1.2 ± 1.7 (max = 6.6) years for confirmed diagnosis. On average, 5.0 ± 9.6 misdiagnoses occurred, and the per-patient diagnoses cost was USD ($) 7576. After GD confirmation, 8 (16.3%) patients received no treatment, 40 (81.6%) received pharmacotherapy, 10 (20.4%) received surgery, 38 (77.6%) received outpatient service (8.8 ± 9.1 times/annually), and 37 (77.5%) received inpatient service (4.0 ± 3.5 times/annually). Annual per-patient COI was USD ($) 49,925 (95% confidence interval: 29,178, 70,672). Average direct healthcare cost was $41,816, including pharmaceutical ($29,908), inpatient ($7,451), and outpatient ($1,838). Productivity loss per-caregiver was $1,980, and their Zarit Burden Inventory score was moderate-severe (48.6 ± 19.6). Both patients/caregivers reported lower social support (32.4 ± 7.4, 34.9 ± 7.6), two times higher PSQI (7.9 ± 2.9, 8.7 ± 3.6), and half lower SF-36 (41.3 ± 18.6, 46.5 ± 19.3) than those reported for healthy Chinese individuals. Conclusions The high misdiagnosis rate, together with delayed diagnosis, substantial costs, and deteriorated health-related quality of life of GD patients as well as their heavy care burden, calls for extreme attention from policymakers in China. Further efforts of government and society are urgently demanded, including pharmaceutical reimbursement, screening newborns, developing precise diagnostic tools, and training doctors. Supplementary Information The online version contains supplementary material available at 10.1186/s13023-021-01963-6.
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Affiliation(s)
- Xinye Qi
- Department of Health Policy, Health Management College, Harbin Medical University, No. 157, Baojian 21 Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.,Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Jiao Xu
- Department of Health Policy, Health Management College, Harbin Medical University, No. 157, Baojian 21 Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.,Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Linghan Shan
- Department of Health Policy, Health Management College, Harbin Medical University, No. 157, Baojian 21 Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.,Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Ye Li
- Department of Health Policy, Health Management College, Harbin Medical University, No. 157, Baojian 21 Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.,Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Yu Cui
- Department of Health Policy, Health Management College, Harbin Medical University, No. 157, Baojian 21 Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.,Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Huan Liu
- Department of Health Policy, Health Management College, Harbin Medical University, No. 157, Baojian 21 Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.,Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Kexin Wang
- Department of Health Policy, Health Management College, Harbin Medical University, No. 157, Baojian 21 Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.,Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Lijun Gao
- Department of Health Policy, Health Management College, Harbin Medical University, No. 157, Baojian 21 Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.,Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Zheng Kang
- Department of Health Policy, Health Management College, Harbin Medical University, No. 157, Baojian 21 Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.,Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Qunhong Wu
- Department of Health Policy, Health Management College, Harbin Medical University, No. 157, Baojian 21 Road, Nangang District, Harbin, 150081, Heilongjiang Province, China. .,Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China.
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6
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How Far Have We Come? Challenges to Orphan Drug Access in China, 2011-2017. J Pharm Sci 2019; 108:2199-2205. [PMID: 30677418 DOI: 10.1016/j.xphs.2019.01.012] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Revised: 12/17/2018] [Accepted: 01/10/2019] [Indexed: 11/21/2022]
Abstract
Rare diseases are an important global public health issue. One significant challenge is to ensure the access to orphan drugs for patients with rare disease. This study aims to evaluate the accessibility of orphan drugs in China. Information pertaining to the availability and costs of each orphan drug in each hospital was obtained from the Chinese Medicine Economic Information database during 2011-2017. We measured the accessibility of orphan drugs from 3 aspects: availability, daily costs, and affordability to patients.The market availability rate of orphan drugs in China was 28.8% by June 30, 2017. The median availability rate at the hospital level was less than 15% but was increasing over time. The cost of a defined daily dose of orphan drugs varied significantly with a decreasing trend in all areas. Less than half of all surveyed orphan drugs had a cost of a defined daily dose no more than residents' average daily income.This study reveals the challenges of access to orphan drugs in China. The availability of marketed orphan drugs in China was relatively low and most orphan drugs placed a heavy financial burden on patients with rare disease. It is necessary to develop legislation for orphan drugs and encourage domestic generics.
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7
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Abstract
With a population of 1.4 billion, China shares the largest burden of rare genetic diseases worldwide. Current estimates suggest that there are over ten million individuals afflicted with chromosome disease syndromes and well over one million individuals with monogenic disease. Care of patients with rare genetic diseases remains a largely unmet need due to the paucity of available and affordable treatments. Over recent years, there is increasing recognition of the need for affirmative action by government, health providers, clinicians and patients. The advent of new next generation sequencing (NGS) technologies such as whole genome/exome sequencing, offers an unprecedented opportunity to provide large-scale population screening of the Chinese population to identify the molecular causes of rare genetic diseases. As a surrogate for lack of effective treatments, recent development and implementation of noninvasive prenatal testing (NIPT) in China has the greatest potential, as a single technology, for reducing the number of children born with rare genetic diseases.
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Affiliation(s)
- David S Cram
- Berry Genomics Corporation, Beijing, China
- Department of Anatomy and Developmental Biology, Monash University, Clayton, Australia
- Dr. David S Cram, Berry Genomics Corporation, Building 9, No. 6 Court, Jingshun East Rd, Chaoyang District, Beijing 100015, China. E-mail:
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