The DOI matches its Crossref record; 79 of the 81 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Citations
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
Flagged first, then by citations
2 of the 81 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 301–400 of 1,000
An improved early detection method of type-2 diabetes mellitus using multiple classifier system
Zhu, J., Xie, Q., & Zheng, K. (2014) · Information Sciences · doi:10.1016/j.ins.2014.08.056 · Cited by 70
The E. coli molecular phenotype under different growth conditions
Caglar, M. U., Houser, J. R., Barnhart, C. S., Boutz, D. R., Carroll, S. M., Dasgupta, A., Lenoir, W. F., Smith, B. L., Sridhara, V., Sydykova, D. K., et al. (2017) · Scientific Reports · doi:10.1038/srep45303 · Cited by 66
Efficient selection of tagging single-nucleotide polymorphisms in multiple populations
Howie, B., Carlson, C. S., Rieder, M. J., & Nickerson, D. A. (2006) · Human Genetics · doi:10.1007/s00439-006-0182-5 · Cited by 66
ROR1 is essential for proper innervation of auditory hair cells and hearing in humans and mice
Diaz‐Horta, O., Abad, C., Sennaroğlu, L., Foster, J. M., DeSmidt, A. A., Bademci, G., Tokgöz-Yılmaz, S., Duman, D., Cengiz, F. B., Grati, M., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1522512113 · Cited by 61
The Need for a Systematic Approach to Complex Pathways in Molecular Epidemiology
Thomas, D. C. (2005) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-14-3-edb · Cited by 65
Genetic association of molecular traits: A help to identify causative variants in complex diseases
Vandiedonck, C. (2017) · Clinical Genetics · doi:10.1111/cge.13187 · Cited by 63
The Future of Regulatory Toxicology: Impact of the Biotechnology Revolution
MacGregor, J. T. (2003) · Toxicological Sciences · doi:10.1093/toxsci/kfg197 · Cited by 64
Yu, H., He, Y., Wang, X., Zhang, Q., Bao, Z., & Guo, X. (2011) · Fish & Shellfish Immunology · doi:10.1016/j.fsi.2010.12.015 · Cited by 63
Guo, G., Elder, G. H., Cai, T., & Hamilton, N. (2008) · Social Science Research · doi:10.1016/j.ssresearch.2008.04.002 · Cited by 62
Unraveling genomic variation from next generation sequencing data
Pavlopoulos, G. A., Oulas, A., Iacucci, E., Sifrim, A., Moreau, Y., Schneider, R., Aerts, J. A., & Iliopoulos, I. (2013) · BioData Mining · doi:10.1186/1756-0381-6-13 · Cited by 63
?2-Heremans?Schmid glycoprotein gene polymorphisms are associated with adipocyte insulin action
Dahlman, I. A., Eriksson, P. O., Kaaman, M., Jiao, H., Lindgren, C. M., Kere, J., & Arner, P. (2004) · Diabetologia · doi:10.1007/s00125-004-1556-7 · Cited by 63
Advancing genomic approaches to the molecular diagnosis of mitochondrial disease
Stenton, S. L., & Prokisch, H. (2018) · Essays in Biochemistry · doi:10.1042/ebc20170110 · Cited by 71
Understanding the Hidden Complexity of Latin American Population Isolates
Mooney, J. A., Huber, C. D., Service, S. K., Sul, J. H., Marsden, C. D., Zhang, Z., Sabatti, C., Ruiz‐Linares, A., Bedoya, G., Freimer, N. B., et al. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2018.09.013 · Cited by 62
Self-citationSignal Transduction and Genes-to-Behaviors Pathways in Psychiatric Diseases
Manji, H. K., Gottesman, I. I., & Gould, T. D. (2003) · Science Signaling · doi:10.1126/stke.2003.207.pe49 · Cited by 64
Trask, A. E., Bignal, E. M., McCracken, D. I., Monaghan, P., Piertney, S. B., & Reid, J. M. (2016) · Journal of Animal Ecology · doi:10.1111/1365-2656.12503 · Cited by 61
Milne, R. L., Ribas, G., González‐Neira, A., Fagerholm, R., Salas, A., González, E., Dopazo, J., Nevanlinna, H. A., Robledo, M., & Benitez, J. J. (2006) · Cancer Research · doi:10.1158/0008-5472.can-06-1418 · Cited by 61
Genomic insights into early-onset obesity
Choquet, H., & Meyre, D. (2010) · Genome Medicine · doi:10.1186/gm157 · Cited by 61
A Block-Free Hidden Markov Model for Genotypes and Its Application to Disease Association
Kimmel, G., & Ron Shamir, A. (2005) · Journal of Computational Biology · doi:10.1089/cmb.2005.12.1243 · Cited by 62
Animal breeding strategies can improve meat quality attributes within entire populations
Berry, D. P., Conroy, S. B., Pabiou, T., & Cromie, A. R. (2017) · Meat Science · doi:10.1016/j.meatsci.2017.04.019 · Cited by 64
Haplotype mapping of the bronchiolitis susceptibility locus near IL8
Hull, J., Rowlands, K., Lockhart, E., Sharland, M., Moore, C. E., Hanchard, N. A., & Kwiatkowski, D. P. (2004) · Human Genetics · doi:10.1007/s00439-003-1038-x · Cited by 61
Yonan, A. L., Palmer, A. A., Smith, K. C., Feldman, I., Lee, H. K., Yonan, J., Fischer, S. G., Pavlidis, P., & Gilliam, T. C. (2003) · Genes Brain & Behavior · doi:10.1034/j.1601-183x.2003.00041.x · Cited by 61
NIDM: network impulsive dynamics on multiplex biological network for disease-gene prediction
Xiang, J., Zhang, J., Zheng, R., Li, X., & Li, M. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab080 · Cited by 65
Integration of multiple data sources to prioritize candidate genes using discounted rating system
Li, Y., & Patra, J. C. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-s1-s20 · Cited by 60
Linkage and association with the NOS2A locus on chromosome 17q11 in multiple sclerosis
Barcellos, L. F., Begovich, A. B., Reynolds, R., Caillier, S. J., Brassat, D., Schmidt, S., Grams, S. E., Walker, K., Steiner, L. L., Cree, B., et al. (2004) · Annals of Neurology · doi:10.1002/ana.20092 · Cited by 60
The quest for quantitative trait loci associated with intelligence
Plomin, R. J., Kennedy, J. K. J., & Craig, I. (2006) · Intelligence · doi:10.1016/j.intell.2006.01.001 · Cited by 59
Applications of whole-genome high-density SNP genotyping
Craig, D. W., & Stephan, D. A. (2005) · Expert Review of Molecular Diagnostics · doi:10.1586/14737159.5.2.159 · Cited by 60
Becker, N., Vasconcelos, M., Oliveira, V. F., Santos, F. C. D., Bizarro, L., de Almeida, R. M. M., de Salles, J. F., & Carvalho, M. R. S. (2017) · Developmental Neuropsychology · doi:10.1080/87565641.2017.1374960 · Cited by 67
Freedman, M. L., Penney, K. L., Stram, D. O., Marchand, L. L., Hirschhorn, J. N., Kolonel, L. N., Altshuler, D., Henderson, B. E., & Haiman, C. A. (2004) · Human Molecular Genetics · doi:10.1093/hmg/ddh270 · Cited by 59
Wójcicka, A., Czetwertyńska, M., Świerniak, M., Długosińska, J., Maciąg, M., Czajka, A., Dymecka, K., Kubiak, A., Kot, A., Płoski, R., et al. (2014) · Genes Chromosomes and Cancer · doi:10.1002/gcc.22162 · Cited by 60
DNA analysis by mass spectrometry—past, present and future
Tost, J., & Gut, I. G. (2006) · Journal of Mass Spectrometry · doi:10.1002/jms.1096 · Cited by 60
Exome sequencing greatly expedites the progressive research of Mendelian diseases
Zhang, X. (2014) · Frontiers of Medicine · doi:10.1007/s11684-014-0303-9 · Cited by 58
Neural network analysis in pharmacogenetics of mood disorders
Serretti, A., & Smeraldi, E. (2004) · BMC Medical Genetics · doi:10.1186/1471-2350-5-27 · Cited by 58
Role of the adducin family genes in human essential hypertension
Lanzani, C. L., Citterio, L., Jankaricova, M., Alibrandi, M. T. S., Barlassina, C., Fattori, S., Messaggio, E., Serio, C. D., Zagato, L., Cusi, D., et al. (2005) · Journal of Hypertension · doi:10.1097/01.hjh.0000160210.48479.78 · Cited by 58
MAPPING QUANTITATIVE TRAIT LOCI UNDERLYING FITNESS-RELATED TRAITS IN A FREE-LIVING SHEEP POPULATION
Beraldi, D., McRae, A. F., Gratten, J., Slate, J., Visscher, P. M., & Pemberton, J. M. (2007) · Evolution · doi:10.1111/j.1558-5646.2007.00106.x · Cited by 58
Gene Mapping and Marker Clustering Using Shannon's Mutual Information
Dawy, Z., Goebel, B., Hagenauer, J., Andréoli, C., Meitinger, T., & Mueller, J. C. (2006) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2006.9 · Cited by 56
Carrasquer, A., Nebane, N. M., Williams, W. M., & Song, Z.-H. (2010) · Pharmacogenetics and Genomics · doi:10.1097/fpc.0b013e3283367c6b · Cited by 56
An improved gel‐based DNA microarray method for detecting single nucleotide mismatch
Xiao, P., Cheng, L., Wan, Y., Sun, B., Chen, Z., Zhang, S. Y., Zhang, C. Z., Zhou, G., & Lu, Z. H. (2006) · Electrophoresis · doi:10.1002/elps.200500918 · Cited by 56
A Drosophila model of early onset torsion dystonia suggests impairment in TGF-β signaling
Koh, Y.-H., Rehfeld, K., & Ganetzky, B. (2004) · Human Molecular Genetics · doi:10.1093/hmg/ddh208 · Cited by 56
Does haplotype diversity predict power for association mapping of disease susceptibility?
Zhang, W., Collins, A. R., & Morton, N. E. (2004) · Human Genetics · doi:10.1007/s00439-004-1122-x · Cited by 56
Genetics of temporal lobe epilepsy
Vadlamudi, L. (2003) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.74.10.1359 · Cited by 55
Guo, G., Tong, Y., & Cai, T. (2008) · American Journal of Sociology · doi:10.1086/592207 · Cited by 54
Exome sequencing in genetic disease: recent advances and considerations
Ross, J. P., Dion, P. A., & Rouleau, G. A. (2020) · F1000Research · doi:10.12688/f1000research.19444.1 · Cited by 54
Walsh, C., Miller, C. W., Karlan, B. Y., & Koeffler, H. P. (2006) · Gynecologic Oncology · doi:10.1016/j.ygyno.2006.10.008 · Cited by 54
Positional Cloning by Linkage Disequilibrium
Maniatis, N., Collins, A. R., Gibson, J., Zhang, W., Tapper, W., & Morton, N. E. (2004) · The American Journal of Human Genetics · doi:10.1086/383589 · Cited by 54
Eskin, E. (2008) · Springer eBooks · doi:10.1007/978-3-540-78839-3_38 · Cited by 49
Purdie, A. C., Plain, K. M., Begg, D., de Silva, K., & Whittington, R. (2011) · Comparative Immunology, Microbiology & Infectious Diseases · doi:10.1016/j.cimid.2010.12.003 · Cited by 51
Admixture Mapping Provides Evidence of Association of the VNN1 Gene with Hypertension
Zhu, X., & Cooper, R. (2007) · PLoS ONE · doi:10.1371/journal.pone.0001244 · Cited by 55
Genome-wide Epigenetic Data Facilitate Understanding of Disease Susceptibility Association Studies
Hardison, R. C. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.r112.352427 · Cited by 53
Lamichhaney, S., Card, D. C., Grayson, P., Tonini, J. F. R., Bravo, G. A., Näpflin, K., Termignoni-Garcia, F., Torres, C., Burbrink, F., Clarke, J. A., et al. (2019) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2018.0248 · Cited by 44
Genome-wide single nucleotide polymorphism analysis of lung cancer risk detects the KLF6 gene
Spinola, M., Leoni, V. P., Galvan, A., Korsching, E., Conti, B., Pastorino, U., Ravagnani, F., Columbano, A., Skaug, V., Haugen, A., et al. (2007) · Cancer Letters · doi:10.1016/j.canlet.2006.11.029 · Cited by 53
Case-control studies in the genomic era: a clinician's guide
Healy, D. G. (2006) · The Lancet Neurology · doi:10.1016/s1474-4422(06)70524-5 · Cited by 54
Functional genomics of membrane transporters in human populationsPreprint
Urban, T. J., Sebro, R., Hurowitz, E. H., Leabman, M. K., Badagnani, I., Lagpacan, L. L., RISCH, N. J., & Giacomini, K. M. (2005) · Genome Research · doi:10.1101/gr.4356206 · Cited by 54
Self-citationSimilarly Strong Purifying Selection Acts on Human Disease Genes of All Evolutionary Ages
Cai, J. J., Borenstein, E., Chen, R., & Petrov, D. A. (2009) · Genome Biology and Evolution · doi:10.1093/gbe/evp013 · Cited by 54
Daoud, H., Valdmanis, P. N., Gros‐Louis, F., Belzil, V., Spiegelman, D., Henrion, É., Diallo, O., Desjarlais, A., Gauthier, J., Camu, W., et al. (2011) · Archives of Neurology · doi:10.1001/archneurol.2010.351 · Cited by 52
Systematic screens for human disease genes, from yeast to human and back
Perocchi, F., Mancera, E., & Steinmetz, L. M. (2007) · Molecular BioSystems · doi:10.1039/b709494a · Cited by 54
Exome versus transcriptome sequencing in identifying coding region variants
Ku, C., Wu, M., Cooper, D. N., Naidoo, N., Yudi Pawitan, Y., Pang, B., Iacopetta, B. J., & Soong, R. (2012) · Expert Review of Molecular Diagnostics · doi:10.1586/erm.12.10 · Cited by 57
Zhang, W., Sun, F., & Jiang, R. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-s1-s11 · Cited by 51
On the Allosteric Effect of nsSNPs and the Emerging Importance of Allosteric Polymorphism
Tee, W.-V., Guarnera, E., & Berezovsky, I. N. (2019) · Journal of Molecular Biology · doi:10.1016/j.jmb.2019.07.012 · Cited by 51
Genomics of Elite Sporting Performance
Wang, G., Padmanabhan, S., Wolfarth, B., Fuku, N., Lucía, A., Ahmetov, I. I., Cięszczyk, P., Collins, M., Eynon, N., Klissouras, V., et al. (2013) · Advances in genetics · doi:10.1016/b978-0-12-407703-4.00004-9 · Cited by 58
Detection of terminal mismatches on DNA duplexes with fluorescent oligonucleotides
Asseline, U., Chassignol, M., Aubert, Y., & Roig, V. (2006) · Organic & Biomolecular Chemistry · doi:10.1039/b602262f · Cited by 51
Buervenich, S., Belin, A. C., Galter, D., Shahabi, H. N., Johnels, B., Holmberg, B., Ahlberg, J., Nissbrandt, H., Eerola, J., Hellström, O., et al. (2005) · Archives of Neurology · doi:10.1001/archneur.62.1.74 · Cited by 51
Generalist genes and cognitive neuroscience
Butcher, L. M., Kennedy, J. K. J., & Plomin, R. J. (2006) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2006.03.004 · Cited by 51
Hearing impairment in Dutch patients with connexin 26 (GJB2) and connexin 30 (GJB6) mutations
Santos, R. L. P., Aulchenko, Y. S., Huygen, P. L. M., van der Donk, K. P., de Wijs, I. J., Kemperman, M. H., Admiraal, R. J. C., Kremer, H., Hoefsloot, L. H., & Cremers, C. W. R. J. (2004) · International Journal of Pediatric Otorhinolaryngology · doi:10.1016/j.ijporl.2004.08.015 · Cited by 51
PROTEIN INTERACTIONS AND DISEASE
Kann, M. G., Ofran, Y., Punta, M., & Predrag Radivojac, A. (2007) · Cited by 50
Interpreting Disparate Responses to Cancer Therapy: The Role of Human Population Genetics
Maitland, M. L., Rienzo, A. D., & Ratain, M. J. (2006) · Journal of Clinical Oncology · doi:10.1200/jco.2005.05.2282 · Cited by 49
Grade, M., Wolff, H. A., Gaedcke, J., & Ghadimi, Β. M. (2012) · Langenbeck s Archives of Surgery · doi:10.1007/s00423-012-0929-5 · Cited by 50
Linkage disequilibrium maps and association mapping
Morton, N. E. (2005) · Journal of Clinical Investigation · doi:10.1172/jci25032 · Cited by 50
Genetic dissection of diseases: design and methods
Hoh, J. J., & Ott, J. (2004) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2004.04.006 · Cited by 50
A strategy to search for common obesity and type 2 diabetes genes
Elbers, C. C., Onland‐Moret, N. C., Franke, L., Niehoff, A. G., van der Schouw, Y. T., & Wijmenga, C. (2006) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2006.11.003 · Cited by 51
Ernst, T., Hoffmann, J., Erben, P., Hanfstein, B., Leitner, A., Hehlmann, R., Hochhaus, A., & Muller, M. C. (2008) · Haematologica · doi:10.3324/haematol.12964 · Cited by 50
Polymorphisms of the Phosphodiesterase 4D, cAMP-Specific ( PDE4D ) Gene and Risk of Ischemic Stroke
Zee, R. Y. L., Brophy, V. H., Cheng, S., Hegener, H. H., Erlich, H. A., & Ridker, P. M. (2006) · Stroke · doi:10.1161/01.str.0000230608.56048.38 · Cited by 50
Imputation methods to improve inference in SNP association studies
Dai, J. Y., Ruczinski, I., LeBlanc, M. L., & Kooperberg, C. L. (2006) · Genetic Epidemiology · doi:10.1002/gepi.20180 · Cited by 50
Docherty, S. J., Butcher, L. M., Schalkwyk, L. C., & Plomin, R. J. (2007) · BMC Genomics · doi:10.1186/1471-2164-8-214 · Cited by 50
PrGeFNE: Predicting disease-related genes by fast network embedding
Xiang, J., Zhang, N., Zhang, J., Lv, X., & Li, M. (2020) · Methods · doi:10.1016/j.ymeth.2020.06.015 · Cited by 49
Forero, D. A., Benítez, B. A., Arboleda, G., Yunis, J. J., Pardo, R., & Arboleda, H. (2006) · Neuroscience Research · doi:10.1016/j.neures.2006.04.006 · Cited by 49
Approaches for Recognizing Disease Genes Based on Network
Zou, Q., Li, J., Wang, C., & Zeng, X. (2014) · BioMed Research International · doi:10.1155/2014/416323 · Cited by 49
Wang, M., Zhao, X., Takemoto, K., Xu, H., Li, Y., Akutsu, T., & Song, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043847 · Cited by 49
Next-Generation Sequencing in Genetic Hearing Loss
Yan, D. L. S., Tekin, M., Blanton, S. H., & Liu, X. Z. (2013) · Genetic Testing and Molecular Biomarkers · doi:10.1089/gtmb.2012.0464 · Cited by 52
Hamsten, A., & Eriksson, P. O. (2008) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2008.01958.x · Cited by 49
Ghazalpour, A., Doss, S., Yang, X., Aten, J. E., Toomey, E. M., van Nas, A., Wang, S. S.-M., Drake, T. A., & Lusis, A. J. (2004) · Journal of Lipid Research · doi:10.1194/jlr.r400006-jlr200 · Cited by 49
Butcher, L. M., Meaburn, E. L., Dale, P. S., Sham, P. C., Schalkwyk, L. C., Craig, I., & Plomin, R. J. (2004) · Molecular Psychiatry · doi:10.1038/sj.mp.4001589 · Cited by 48
Gibbon, A., Saunders, C. J., Collins, M., Gamieldien, J., & September, A. V. (2018) · PLoS ONE · doi:10.1371/journal.pone.0205860 · Cited by 51
Germ‐line genetic variation of TP53 in osteosarcoma
Savage, S. A., Burdett, L. A., Troisi, R. J., Douglass, C. W., Hoover, R. N., & Chanock, S. J. (2006) · Pediatric Blood & Cancer · doi:10.1002/pbc.21077 · Cited by 50
Druggability of human disease genes
Sakharkar, M. K., Sakharkar, K. R., & Pervaiz, S. (2007) · The International Journal of Biochemistry & Cell Biology · doi:10.1016/j.biocel.2007.02.018 · Cited by 49
Social Environments and the Genetics of Aging: Advancing Knowledge of Protective Health Mechanisms
Ryff, C. D., & Singer, B. H. (2005) · The Journals of Gerontology Series B · doi:10.1093/geronb/60.special_issue_1.12 · Cited by 48
High density linkage disequilibrium mapping using models of haplotype block variation
Greenspan, G., & Geiger, D. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth907 · Cited by 48
Linkage Disequilibrium: Ancient History Drives the New Genetics
Abecasis, G. R., Ghosh, D., & Nichols, T. E. (2005) · Human Heredity · doi:10.1159/000085226 · Cited by 50
Liu, P. Y., Zhang, Y. Y., Lü, Y., Long, J.-R., Shen, H., Zhao, L.-J., Xu, F., Xiao, P., Xiong, D. H., Liu, Y. J., et al. (2005) · Journal of Medical Genetics · doi:10.1136/jmg.2004.024752 · Cited by 48
Beldade, P., Brakefield, P. M., & Long, A. D. (2005) · Evolution & Development · doi:10.1111/j.1525-142x.2005.05011.x · Cited by 48
Testing hypotheses regarding the genetics of adaptation
Phillips, P. C. (2005) · Genetica · doi:10.1007/s10709-004-2704-1 · Cited by 46
The future for genetic studies in reproduction
Montgomery, G. W., Zondervan, K. T., & Nyholt, D. R. (2013) · Molecular Human Reproduction · doi:10.1093/molehr/gat058 · Cited by 48
Computational Refinement of Functional Single Nucleotide Polymorphisms Associated with ATM Gene
Doss, C. G. P., & Rajith, B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0034573 · Cited by 46
Prioritizing disease candidate genes by a gene interconnectedness-based approach
Hsu, C., Huang, Y., Hsu, C.-T., & Yang, U. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-s3-s25 · Cited by 48
Laissue, P. (2015) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2015.05.005 · Cited by 54
Early Diagnosis of Sepsis: Is an Integrated Omics Approach the Way Forward?
Langley, R. J., & Wong, H. R. (2017) · Molecular Diagnosis & Therapy · doi:10.1007/s40291-017-0282-z · Cited by 51
Torshizi, A. D., & Wang, K. (2018) · Drug Discovery Today · doi:10.1016/j.drudis.2018.05.015 · Cited by 47
Susceptibility genes and modifiers for cardiac arrhythmias
Kääb, S., & Schulze‐Bahr, E. (2005) · Cardiovascular Research · doi:10.1016/j.cardiores.2005.04.005 · Cited by 47
Shifman, S., Levit, A., Chen, M., Chen, C., Bronstein, M., Weizman, A., Yakir, B., Navon, R., & Darvasi, A. (2006) · Human Genetics · doi:10.1007/s00439-006-0195-0 · Cited by 47
Automated Detection of Informative Combined Effects in Genetic Association Studies of Complex TraitsPreprint
Tahri-Daizadeh, N., Trégouët, D., Nicaud, V., Manuel, N., Cambien, F., & Tiret, L. (2003) · Genome Research · doi:10.1101/gr.1254203 · Cited by 47
Genetic Investigations of Meniere‘s Disease
Vrabec, J. T. (2010) · Otolaryngologic Clinics of North America · doi:10.1016/j.otc.2010.05.010 · Cited by 46
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review