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The Human Gene Mutation Database: 2008 update
Open accessAbstract
The Human Gene Mutation Database (HGMD®) is a comprehensive core collection of germline mutations in nuclear genes that underlie or are associated with human inherited disease. Here, we summarize the history of the database and its current resources. By December 2008, the database contained over 85,000 different lesions detected in 3,253 different genes, with new entries currently accumulating at a rate exceeding 9,000 per annum. Although originally established for the scientific study of mutational mechanisms in human genes, HGMD has since acquired a much broader utility for researchers, physicians, clinicians and genetic counselors as well as for companies specializing in biopharmaceuticals, bioinformatics and personalized genomics. HGMD was first made publicly available in April 1996, and a collaboration was initiated in 2006 between HGMD and BIOBASE GmbH. This cooperative agreement covers the exclusive worldwide marketing of the most up-to-date (subscription) version of HGMD, HGMD Professional, to academic, clinical and commercial users.
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“Given that the Human Gene Mutation Database (HGMD) lists 102,433 disease mutations (27), a number that is steadily increasing, a fixed-content method appeared impractical.”
From Carrier testing for severe childhood recessive diseases by next-generation sequencing (2011) · cites this paper as [27]
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“Given that the Human Gene Mutation Database (HGMD) lists 102,433 disease mutations (27), a number that is steadily increasing, a fixed-content method appeared impractical.”
From Carrier testing for severe childhood recessive diseases by next-generation sequencing (2011) · cites this paper as [27]
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“Notably, substitutions, indels, splicing mutations, and gross deletions account for the vast majority (96%) of annotated mutations (27).”
From Carrier testing for severe childhood recessive diseases by next-generation sequencing (2011) · cites this paper as [27]
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“Indeed, 286 severe childhood autosomal recessive diseases encompassed 19,640 known disease mutations (8, 27, 28).”
From Carrier testing for severe childhood recessive diseases by next-generation sequencing (2011) · cites this paper as [27]
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“To be well suited for array-based screening, however, most carriers must be accounted for by a few mutations, and most disease mutations must be nucleotide substitutions (8, 27, 28).”
From Carrier testing for severe childhood recessive diseases by next-generation sequencing (2011) · cites this paper as [27]
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“MutDB112(http://mutdb.org/) contains a much larger number of rare coding variants that are either associated with disease or predicted to be damaging.”
From Rare and common variants: twenty arguments (2012) · cites this paper as [112]
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Cites
A simple method for displaying the hydropathic character of a protein
Kyte, J., & Doolittle, R. F. (1982) · Journal of Molecular Biology · doi:10.1016/0022-2836(82)90515-0 · Cited by 22,927
dbSNP: the NCBI database of genetic variation
Sherry, S. T. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.1.308 · Cited by 7,502
Prediction of protein antigenic determinants from amino acid sequences.
Hopp, T. P., & Woods, K. R. (1981) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.78.6.3824 · Cited by 3,726
Prediction of protein conformation
Chou, P. Y., & Fasman, G. D. (1974) · Biochemistry · doi:10.1021/bi00699a002 · Cited by 3,309
Amino Acid Difference Formula to Help Explain Protein Evolution
Grantham, R. L. (1974) · Science · doi:10.1126/science.185.4154.862 · Cited by 2,363
Genome sequence of the Brown Norway rat yields insights into mammalian evolution
Gibbs, R. A., Weinstock, G. M., Metzker, M. L., Muzny, D. M., Sodergren, E. J., Scherer, S. E., Scott, G., Steffen, D. L., Worley, K. C., Burch, P. E., et al. (2004) · Nature · doi:10.1038/nature02426 · Cited by 2,170
Entrez Gene: gene-centered information at NCBI
Maglott, D. R., Ostell, J., Pruitt, K. D., & Tatusova, T. A. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq1237 · Cited by 2,126
Prescribing Personalized Nutrition for Cardiovascular Health: Are We Ready?
Juma, S., Imrhan, V., Vijayagopal, P., & Prasad, C. (2014) · Lifestyle Genomics · doi:10.1159/000370213 · Cited by 1,908
The complete genome of an individual by massively parallel DNA sequencing
Wheeler, D. A., Srinivasan, M., Egholm, M., Shen, Y., Chen, L., McGuire, A., He, W., Chen, Y.-J., Makhijani, V., Roth, G. T., et al. (2008) · Nature · doi:10.1038/nature06884 · Cited by 1,838
The Diploid Genome Sequence of an Individual Human
Levy, S., Sutton, G., Ng, P. C., Feuk, L., Halpern, A. L., Walenz, B. P., Axelrod, N., Huang, J., Kirkness, E. F., Denisov, G., et al. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050254 · Cited by 1,778
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Items 501–600 of 873
Ridnõi, K., Kurvinen, E., Pajusalu, S., Reimand, T., & Õunap, K. (2018) · Molecular Syndromology · doi:10.1159/000490083 · Cited by 11
Khoury, P. E., Couvert, P., Elbitar, S., Ghaleb, Y., Khalil, Y. A., Azar, Y., Ayoub, C., Superville, A., Guérin, M., Rabès, J., et al. (2018) · Journal of clinical lipidology · doi:10.1016/j.jacl.2018.08.013 · Cited by 13
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Khodaeian, M., Jafarinia, E., Bitarafan, F., Shafeii, S., Almadani, N., Daneshmand, M. A., & Garshasbi, M. (2021) · Molecular Syndromology · doi:10.1159/000513199 · Cited by 12
Dysgenesis and Dysfunction of the Pancreas and Pituitary Due to FOXA2 Gene Defects
Kaygusuz, S. B., Ateş, E. A., Vignola, M. L., Volkan, B., Geçkinli, B. B., Turan, S., Bereket, A., Gaston‐Massuet, C., & Güran, T. (2021) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgab352 · Cited by 11
Rajkumar, M. S., Garg, R., & Jain, M. (2021) · Physiologia Plantarum · doi:10.1111/ppl.13611 · Cited by 11
Doss, C. G. P., Chakraborty, C., Monford Paul Abishek, N., Kumar, D. T., & Narayan, V. (2014) · Advances in protein chemistry and structural biology · doi:10.1016/b978-0-12-800168-4.00006-8 · Cited by 11
Charoenwattanasatien, R., Cairns, J. R. K., Keeratichamroen, S., Sawangareetrakul, P., Tanpaiboon, P., Wattanasirichaigoon, D., Pangkanon, S., Svasti, J., & Champattanachai, V. (2012) · Biochemical Genetics · doi:10.1007/s10528-012-9538-9 · Cited by 11
Borowiec, M., Fendler, W. M., Antosik, K., Baranowska, A., Gnyś, P., Zmysłowska, A., Malecki, M. T., & Mlynarski, W. M. (2011) · Clinical Genetics · doi:10.1111/j.1399-0004.2011.01803.x · Cited by 11
Shimada, M. K., Hayakawa, Y., Takeda, J.-I., Gojobori, T., & Imanishi, T. (2010) · BMC Evolutionary Biology · doi:10.1186/1471-2148-10-122 · Cited by 11
Dawood, F. (2013) · Journal of Blood Disorders & Transfusion · doi:10.4172/2155-9864.1000164 · Cited by 11
Novel GLA Mutation Promotes Intron Inclusion Leading to Fabry Disease
Varela, P., Caldas, M. M., & Pesquero, J. B. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00783 · Cited by 11
Global Text Mining and Development of Pharmacogenomic Knowledge Resource for Precision Medicine
Guin, D., Rani, J., Singh, P., Grover, S., Bora, S., Talwar, P., Muthusamy, K., Satyamoorthy, K., Adithan, C., Ramachandran, S., et al. (2018) · Frontiers in Pharmacology · doi:10.2139/ssrn.3255819 · Cited by 11
Cunha, J. L., Soardi, F. C., Bernardi, R. D., de Oliveira, L. E. C., Benedetti, C. E., Guerra‐Júnior, G., Maciel‐Guerra, A. T., & de Mello, M. P. (2011) · Brazilian Journal of Medical and Biological Research · doi:10.1590/s0100-879x2011000400014 · Cited by 11
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García‐Casado, Z., Nagore, E., Fernández‐Serra, A., Estrada, R. B., & López‐Guerrero, J. A. (2009) · Melanoma Research · doi:10.1097/cmr.0b013e32832dd2d4 · Cited by 11
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Panda, A., Begum, T., & Ghosh, T. C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048336 · Cited by 10
Li, H., & Lv, X. (2016) · Oncology Letters · doi:10.3892/ol.2016.4604 · Cited by 11
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Fan, L., Ji, L., Xu, Y., Shen, G., Tang, K., Li, Z., Ye, S., & Shen, X. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.827560 · Cited by 10
Ibrahim, D. M. A., Ali, O. S. M., Nasr, H., Fateen, E., & Aleem, A. K. A. (2023) · Orphanet Journal of Rare Diseases · doi:10.1186/s13023-023-02637-1 · Cited by 10
Laval, F., Coppin, G., Twizere, J., & Vidal, M. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24119179 · Cited by 10
Haque, N., Kawai, T., Ratnasinghe, B. D., Wagenknecht, J. B., Urrutia, R. A., Notarangelo, L. D., & Zimmermann, M. T. (2023) · iScience · doi:10.1016/j.isci.2023.108040 · Cited by 10
Deep sequencing study of the MTHFR gene to identify variants associated with myelomeningocele
Aneji, C. N., Northrup, H., & Au, K. S. (2012) · Birth Defects Research Part A Clinical and Molecular Teratology · doi:10.1002/bdra.22884 · Cited by 10
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Girotto, G., Scheffer, D. I., Morgan, A., Vozzi, D., Rubinato, E., Stazio, M. D., Muzzi, E., Pensiero, S., Giersch, A. B. S., Corey, D. P., et al. (2015) · Scientific Reports · doi:10.1038/srep18568 · Cited by 10
Haddad, R. A., Clines, G. A., & Wyckoff, J. (2019) · Clinical Diabetes and Endocrinology · doi:10.1186/s40842-019-0087-6 · Cited by 10
Singh, A., Talseth‐Palmer, B. A., McPhillips, M. L., Lavik, L. A. S., Xavier, A., Drabløs, F., & Sjursen, W. (2020) · PLoS ONE · doi:10.1371/journal.pone.0235613 · Cited by 10
Lellis, L. D., Aceto, G. M., Curia, M. C., Catalano, T., Mammarella, S., Veschi, S., Fantini, F., Battista, P., Stigliano, V., Messerini, L., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0081194 · Cited by 10
Stendel, C., Gallenmüller, C., Peters, K., Bürger, F., Gramer, G., Biskup, S., & Klopstock, T. (2015) · Journal of Neurology · doi:10.1007/s00415-015-7729-0 · Cited by 10
Masson, A. L., Talseth‐Palmer, B. A., Evans, T., McElduff, P., Spigelman, A. D., Hannan, G. N., & Scott, R. J. (2015) · Meta Gene · doi:10.1016/j.mgene.2015.12.005 · Cited by 10
Sel, Ç. G., Kılıç, M., Yüksel, D., Aksoy, A., Kasapkara, Ç. S., Ceylaner, S., & Oğuz, K. K. (2018) · Brain and Development · doi:10.1016/j.braindev.2018.06.007 · Cited by 10
Chen, J., Fichou, Y., Jamet, D., Dupont, I. E., Cooper, D. N., Maréchal, C. L., & Férec, C. (2012) · Transfusion · doi:10.1111/j.1537-2995.2012.03713.x · Cited by 9
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Chong, Z., Zhai, W., Li, C., Gao, M., Gong, Q., Ruan, J., Li, J., Jiang, L., Lv, X., Hungate, E. A., et al. (2013) · Molecular Biology and Evolution · doi:10.1093/molbev/mst167 · Cited by 9
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Yoon, E., Ahmed, S., Li, R., Bandrés‐Ciga, S., Blauwendraat, C., Dustin, I. M., Scholz, S. W., Hallett, M., & Ehrlich, D. J. (2023) · BMC Neurology · doi:10.1186/s12883-023-03188-5 · Cited by 8
Uddin, M. M., Hossaın, M. T., Hossain, M. A., Ahsan, A., Shamim, K. H., Hossen, M. A., Rahman, M. S., Rahman, M. H., Ahmed, K., Bui, F. M., et al. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e37280 · Cited by 9
Zhang, Y., Dong, M., Deng, J., Wu, J., Zhao, Q., Gao, X., & Xiong, D. (2024) · Communications Biology · doi:10.1038/s42003-024-07066-9 · Cited by 9
Exome Sequencing: Capture and Sequencing of All Human Coding Regions for Disease Gene Discovery
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Xiao, H., Yang, L., Liu, J., Yang, J., Lu, L., & Zhao, H. (2017) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2017.5185 · Cited by 9
Macaulay, S., Goodyear, Q. C., Kruger, M., Chen, W. C., Essop, F., & Krause, A. (2018) · Familial Cancer · doi:10.1007/s10689-018-0075-5 · Cited by 9
Ranjzad, F., Aghdami, N., Tara, A., Mohseni, M., Moghadasali, R., & Basiri, A. (2018) · Kidney & Blood Pressure Research · doi:10.1159/000488471 · Cited by 9
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Jho, S., Kim, B.-C., Ghang, H., Kim, J., Park, D., Kim, H., Yoo, K. Y., Yoo, K.-Y., Kim, H.-J., Lee, S., et al. (2009) · BMC Genomics · doi:10.1186/1471-2164-10-s3-s35 · Cited by 9
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Antontseva, E. V., Matveeva, M. Y., Bondar, N. P., Kashina, E. V., Leberfarb, E. Y., Bryzgalov, L. O., Анатольевна, Г. П., Ponomareva, A. A., Чердынцева, Н. В., Orlov, Y. L., et al. (2015) · Journal of Biosciences · doi:10.1007/s12038-015-9567-8 · Cited by 9
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Chen, M., & Afroze, B. (2016) · Journal of Pediatric Genetics · doi:10.1055/s-0036-1584360 · Cited by 9
Sadana, A., & Sadana, N. (2010) · Elsevier eBooks · doi:10.1016/b978-0-444-53262-6.00005-x · Cited by 9
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Podder, S., & Ghosh, T. C. (2011) · Genomics · doi:10.1016/j.ygeno.2011.01.004 · Cited by 8
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He, J. H., Wang, Q., Ye, J., Hu, X., & Li, N. (2011) · Gene · doi:10.1016/j.gene.2011.08.027 · Cited by 8
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Taliun, S. A. G., Ravji, R., Barnes, M. R., Weale, M. E., & Knight, J. (2015) · Scientific Reports · doi:10.1038/srep13373 · Cited by 8
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Lujan, S. A., Garbacz, M. A., Liberti, S. E., Burkholder, A., & Kunkel, T. A. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae616 · Cited by 8
Aygün, N. (2015) · Scientific Reports · doi:10.1038/srep08300 · Cited by 7
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Lellis, L. D., Mammarella, S., Curia, M. C., Veschi, S., Mokini, Z., Bassi, C., Sala, P., Battista, P., Mariani‐Costantini, R., Radice, P., et al. (2012) · Tumori Journal · doi:10.1177/030089161209800118 · Cited by 7
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Wierbowski, S. D., Fragoza, R., Liang, S., & Yu, H. (2018) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2018.09.006 · Cited by 8
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Camats, N., Üstyol, A., Atabek, M. E., Dick, B., & Flück, C. E. (2015) · Clinical Case Reports · doi:10.1002/ccr3.343 · Cited by 7
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Lu, F., Wang, X., Xue, X., Liu, L. Z., Li, D., Liu, A. F., Qin, S., & Liu, L. (2026) · Cells · doi:10.3390/cells15060545 · Cited by 7
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Sana, M. E., Spitaleri, A., Spiliotopoulos, D., Pezzoli, L., Preda, L., Musco, G., Ferrazzi, P., & Iascone, M. R. (2014) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.36588 · Cited by 6
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Metadata
- Authors
- Stenson, P. D., Mort, M., Ball, E. V., Howells, K., Phillips, A. D., Thomas, N. S., & Cooper, D. N.
- Affiliations
- Cardiff University (GB)
- Corresponding author
- Cooper, David N
- Venue
- Genome Medicine
- Published
- 2009-01-22
- Volume
- 1
- Issue
- 1
- Pages
- 13-13
- ISSN
- 1756-994X (ISSN-L)
- DOI
- 10.1186/gm13
- PMC
- PMC2651586
- OpenAlex
- W2158116492
- Cited by
- 873
- References
- 32
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 26 · 2023: 33 · 2022: 18 · 2021: 32 · 2020: 28 · 2019: 35 · 2018: 41 · 2017: 47 · 2016: 73 · 2015: 73 · 2014: 71 · 2013: 102 · 2012: 101
- Type
- conference abstract
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Genome Medicine (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- DigitalGeorgetown (Georgetown University Library) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Keywords
- HGMD, germline mutations, genetic disorders, nuclear genes, mutation database, mutational mechanisms, genetic counseling, personalized genomics
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