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Discovering genotypes underlying human phenotypes: past successes for mendelian disease, future approaches for complex disease
Abstract
The past two decades have witnessed an explosion in the identification, largely by positional cloning, of genes associated with mendelian diseases. The roughly 1,200 genes that have been characterized have clarified our understanding of the molecular basis of human genetic disease. The principles derived from these successes should be applied now to strategies aimed at finding the considerably more elusive genes that underlie complex disease phenotypes. The distribution of types of mutation in mendelian disease genes argues for serious consideration of the early application of a genomic-scale sequence-based approach to association studies and against complete reliance on a positional cloning approach based on a map of anonymous single nucleotide polymorphism haplotypes.
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“When GWAS began the field was dominated by the simple common disease-common variant (CD-CV) hypothesis1–4 has been refuted in light of the so-called ‘missing heritability problem’”
From Rare and common variants: twenty arguments (2012) · cites this paper as [4]
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Cites
The sequence of the human genome
Venter, J. C., Adams, M. D., Myers, E. W., Li, P. W., Mural, R. J., Sutton, G. G., Smith, H. O., Yandell, M., Evans, C. A., Holt, R. A., et al. (2001) · Science · doi:10.1126/science.1058040 · Cited by 13,909
MACDONALD, M. (1993) · Cell · doi:10.1016/0092-8674(93)90585-e · Cited by 8,366
Construction of a genetic linkage map in man using restriction fragment length polymorphisms.
Botstein, D., White, R. L., Skolnick, M. H., & Davis, R. W. (1980) · Europe PMC (PubMed Central) · Cited by 8,327
Self-citationIdentification of the Cystic Fibrosis Gene: Cloning and Characterization of Complementary DNA
Riordan, J. R., Rommens, J. M., Kerem, B.-S., Alon, N., Rozmahel, R., Grzelczak, Z., Zielenski, J., Lok, S., Plavsic, N., Chou, J.-L., et al. (1989) · Science · doi:10.1126/science.2475911 · Cited by 7,418
A Strong Candidate for the Breast and Ovarian Cancer Susceptibility Gene BRCA1
Miki, Y., Swensen, J. J., Shattuck-Eidens, D. M., Futreal, P. A., Harshman, K., Tavtigian, S. V., Liu, Q., Cochran, C., Bennett, L. M., Ding, W., et al. (1994) · Science · doi:10.1126/science.7545954 · Cited by 6,069
The Structure of Haplotype Blocks in the Human Genome
Gabriel, S. B., Schaffner, S. F., Nguyen, H., Moore, J. M., Roy, J., Blumenstiel, B., Higgins, J., DeFelice, M., Lochner, A., Faggart, M., et al. (2002) · Science · doi:10.1126/science.1069424 · Cited by 5,863
The Future of Genetic Studies of Complex Human Diseases
Risch, N., & Merikangas, K. (1996) · Science · doi:10.1126/science.273.5281.1516 · Cited by 5,355
Self-citationIdentification of the Cystic Fibrosis Gene: Genetic Analysis
Kerem, B.-S., Rommens, J. M., Buchanan, J. A., Markiewicz, D., Cox, T. K., Chakravarti, A., Buchwald, M., & Tsui, L.-C. (1989) · Science · doi:10.1126/science.2570460 · Cited by 4,142
A novel MHC class I-like gene is mutated in patients with hereditary haemochromatosis
Feder, J. N., Gnirke, A., Thomas, W., Tsuchihashi, Z., Ruddy, D. A., Basava, A., Dormishian, F., Domingo, R., Ellis, M. C., Fullan, A., et al. (1996) · Nature Genetics · doi:10.1038/ng0896-399 · Cited by 3,664
Self-citationIdentification of the breast cancer susceptibility gene BRCA2
Wooster, R., Bignell, G. R., Lancaster, J., Swift, S., Seal, S., Mangion, J., Collins, N., Gregory, S. G., Gumbs, C. E., Micklem, G., et al. (1995) · Nature · doi:10.1038/378789a0 · Cited by 3,645
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Items 501–600 of 1,000
Tobacco smoking, estrogen receptor α gene variation and small low density lipoprotein level
Shearman, A. M., Demissie, S., Cupples, L. A., Peter, I., Schmid, C. H., Ordovás, J. M., Mendelsohn, M. E., & Housman, D. E. (2005) · Human Molecular Genetics · doi:10.1093/hmg/ddi242 · Cited by 34
Génissel, A., Pastinen, T., Dowell, A., Mackay, T. F. C., & Long, A. D. (2004) · Genetics · doi:10.1534/genetics.166.1.291 · Cited by 34
SeqDoC: rapid SNP and mutation detection by direct comparison of DNA sequence chromatograms
Crowe, M. L. (2005) · BMC Bioinformatics · doi:10.1186/1471-2105-6-133 · Cited by 33
Kim, H.-J., Oh, K., Kwon, M., Oh, S., Park, J., Kim, Y.-E., Choi, B., Lee, S., Ki, C., & Kim, S. H. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.09.012 · Cited by 33
Ma, L., Wang, H., Zhang, T., Yang, X., Li, C., Chen, W., Liu, B., & Zhao, Y. (2019) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2019.126819 · Cited by 32
Ratajczak, F., Joblin, M., Hildebrandt, M. E., Ringsquandl, M., Falter‐Braun, P., & Heinig, M. (2023) · Nature Communications · doi:10.1038/s41467-023-42975-z · Cited by 30
Gibbs, R. A. (2005) · Nature · doi:10.1038/4371233a · Cited by 32
Polygenic Inherited Predisposition to Breast CancerPreprint
Ponder, B. A. J., Antoniou, A. C., Dunning, A. M., Easton, D. F., & Pharoah, P. D. P. (2005) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2005.70.029 · Cited by 31
A Genome-Wide Perspective of Human Diversity and Its Implications in Infectious DiseasePreprint
Manry, J., & Quintana‐Murci, L. (2013) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a012450 · Cited by 33
Gene Variants Implicated in Steatotic Liver Disease: Opportunities for Diagnostics and Therapeutics
Huang, G., Wallace, D. F., Powell, E. E., Rahman, T. M., Clark, P. J., & Subramaniam, V. N. (2023) · Biomedicines · doi:10.3390/biomedicines11102809 · Cited by 31
Rödelsperger, C., Krawitz, P. M., Bauer, S., Hecht, J., Bigham, A. W., Bamshad, M. J., de Condor, B. J., Schweiger, M. R., & Robinson, P. N. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr022 · Cited by 31
Chang, V. Y., Federman, N. C., Martínez-Agosto, J. A., Tatishchev, S. F., & Nelson, S. F. (2012) · Pediatric Blood & Cancer · doi:10.1002/pbc.24316 · Cited by 31
Measuring phenotype-phenotype similarity through the interactome
Peng, J., Hui, W., & Shang, X. (2018) · BMC Bioinformatics · doi:10.1186/s12859-018-2102-9 · Cited by 31
The classification, genetic diagnosis and modelling of monogenic autoinflammatory disorders
Moghaddas, F., & Masters, S. L. (2018) · Clinical Science · doi:10.1042/cs20171498 · Cited by 30
Qu, L., He, B., Pan, Y., Xu, Y., Zhu, C., Tang, Z., Bao, Q., Tian, F., & Wang, S. (2010) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2010.11.019 · Cited by 32
Bross, P., Li, Z., Hansen, J., Hansen, J. J., Nielsen, M. N., Corydon, T. J., Georgopoulos, C. P., Ang, D., Banner, J., Niezen‐Koning, K. E., et al. (2006) · Journal of Human Genetics · doi:10.1007/s10038-006-0080-7 · Cited by 32
Liang, Y., & Kelemen, A. (2005) · Functional & Integrative Genomics · doi:10.1007/s10142-005-0006-z · Cited by 31
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Little, J., Sharp, L., Khoury, M. J., Bradley, L., & GWINN, M. L. (2005) · American Journal of PharmacoGenomics · doi:10.2165/00129785-200505010-00001 · Cited by 31
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Hill, S. Y. (2010) · International review of neurobiology · doi:10.1016/s0074-7742(10)91003-9 · Cited by 31
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Efferth, T. (2010) · Planta Medica · doi:10.1055/s-0030-1249937 · Cited by 30
Brennan, K. M., Bai, Y., Pisciotta, C., Wang, S., Feely, S. M. E., Hoegger, M. J., Gutmann, L., Moore, S. A., Gonzalez, M., Sherman, D. L., et al. (2015) · Neuromuscular Disorders · doi:10.1016/j.nmd.2015.07.001 · Cited by 30
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Arifuzzaman, M., Mitra, S., Hamza, A., Das, R., Absar, N., & Dash, R. (2019) · Annals of Human Genetics · doi:10.1111/ahg.12350 · Cited by 33
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Xiong, Y., Guo, M., Ruan, L., Kong, X., Tang, C., Zhu, Y., & Wang, W. W. (2019) · BMC Medical Genomics · doi:10.1186/s12920-019-0623-3 · Cited by 29
Askari, M., Sobti, R. C., Nikbakht, M., & SHARMA, S. C. (2013) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-013-1696-5 · Cited by 30
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Hafler, D. A., & Jager, P. L. D. (2005) · Nature reviews. Immunology · doi:10.1038/nri1532 · Cited by 31
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Wang, W. Y. S., & Todd, J. A. (2003) · Human Molecular Genetics · doi:10.1093/hmg/ddg337 · Cited by 30
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Luo, M., Kim, H., Kudrna, D., Sisneros, N., Lee, S.-J., Mueller, C., Collura, K., Zuccolo, A., Buckingham, E. B., Grim, S. M., et al. (2006) · BMC Genomics · doi:10.1186/1471-2164-7-106 · Cited by 28
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Serretti, A., Olgiati, P., Liebman, M., Hu, H., Zhang, Y., Zanardi, R., Colombo, C., & Smeraldi, E. (2007) · Psychiatry Research · doi:10.1016/j.psychres.2006.07.009 · Cited by 27
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Yoo, Y. J., Tang, J., Kaslow, R. A., & Zhang, K. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm371 · Cited by 26
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Okada, T., Miyashita, M., Fukuhara, J., Sugitani, M., Ueno, T., Bouma, M. E., & Aggerbeck, L. P. (2011) · Orphanet Journal of Rare Diseases · doi:10.1186/1750-1172-6-78 · Cited by 25
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Wu, L., Schaid, D. J., Sicotte, H., Wieben, E. D., Li, H., & Petersen, G. M. (2014) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2014-102697 · Cited by 25
Ma, X., Chen, T., & Sun, F. (2013) · Briefings in Bioinformatics · doi:10.1093/bib/bbt041 · Cited by 26
Yilmaz, S., Jonveaux, P., Bicep, C., Pierron, L., Smaïl‐Tabbone, M., & Devignes, M. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn612 · Cited by 24
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Hu, K., Hu, J.-B., Tang, L., Xiang, J., Ma, J.-L., Gao, Y.-Y., Li, H.-J., & Zhang, Y. (2018) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/aae02b · Cited by 24
Lei, X., & Zhang, Y. (2018) · Information Sciences · doi:10.1016/j.ins.2018.12.008 · Cited by 23
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Luo, M., Yu, Y., Kim, H., Kudrna, D., Itoh, Y., Agate, R. J., Melamed, E., Goicoechea, J. L., Talag, J., Mueller, C., et al. (2005) · Genomics · doi:10.1016/j.ygeno.2005.09.005 · Cited by 24
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Metadata
- Authors
- Botstein, D., & Risch, N.
- Affiliations
- Stanford Medicine (US)
- Kaiser Permanente (US)
- Corresponding author
- Botstein, David
- Venue
- Nature Genetics
- Published
- 2003-03
- Volume
- 33
- Issue
- S3
- Pages
- 228-237
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W1985849948
- Cited by
- 1,503
- References
- 81
- Citations by year
- 2026: 4 · 2025: 11 · 2024: 20 · 2023: 24 · 2022: 17 · 2021: 29 · 2020: 44 · 2019: 46 · 2018: 47 · 2017: 54 · 2016: 36 · 2015: 58 · 2014: 61 · 2013: 83 · 2012: 72
- FWCI
- 15.86
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion, public-domain)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Keywords
- genotype-phenotype correlation, complex diseases, monogenic disorders, positional cloning, single nucleotide polymorphisms, haplotype mapping, mutation spectrum, association studies, gene mapping
- MeSH terms
- Alleles, Chromosome Mapping, Cloning, Molecular, Genotype, Humans, Mutation, Phenotype, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Genomics, Genetic Diseases, Inborn, History, 20th Century, History, 21st Century
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