Cited by 855Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and AnimalsGenetic and phenotypic traits in livestock

The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.

Finding genes that underlie complex traits.

Glazier, Anne M., Nadeau, Joseph H., Aitman, Timothy J.·2002·Science

DOI 10.1126/science.1076641

Open this paper in CoChat — free account

Abstract

Phenotypic variation among organisms is central to evolutionary adaptations underlying natural and artificial selection, and also determines individual susceptibility to common diseases. These types of complex traits pose special challenges for genetic analysis because of gene-gene and gene-environment interactions, genetic heterogeneity, low penetrance, and limited statistical power. Emerging genome resources and technologies are enabling systematic identification of genes underlying these complex traits. We propose standards for proof of gene discovery in complex traits and evaluate the nature of the genes identified to date. These proof-of-concept studies demonstrate the insights that can be expected from the accelerating pace of gene discovery in this field.

Integrity signals

Registry

Crossref · 10.1126/science.1076641

Cites

57 of 57 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Gene Dose of Apolipoprotein E Type 4 Allele and the Risk of Alzheimer's Disease in Late Onset Families
Corder, E. H., Saunders, A. M., Strittmatter, W. J., Schmechel, D. E., Gaskell, P. C., Small, G. W., Roses, A. D., Haines, J. L., & Pericak-Vance, M. A. (1993) · Science · doi:10.1126/science.8346443 · Cited by 9,429
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
Association of NOD2 leucine-rich repeat variants with susceptibility to Crohn's disease
Hugot, J.-P., Chamaillard, M., Zouali, H., Lesage, S., Cézard, J.-P., Belaiche, J., Almer, S., Tysk, C., O'Morain, C. A., Gassull, M., et al. (2001) · Nature · doi:10.1038/35079107 · Cited by 5,591
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
Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results
Lander, E. S., & Kruglyak, L. (1995) · Nature Genetics · doi:10.1038/ng1195-241 · Cited by 5,236
A frameshift mutation in NOD2 associated with susceptibility to Crohn's disease
Ogura, Y., Bonen, D. K., Inohara, N., Nicolae, D. L., Chen, F. F., Ramos, R., Britton, H., Moran, T., Karaliuskas, R., Duerr, R. H., et al. (2001) · Nature · doi:10.1038/35079114 · Cited by 5,030
Genetic Dissection of Complex Traits
Lander, E. S., & Schork, N. J. (1994) · Science · doi:10.1126/science.8091226 · Cited by 3,425
Evolution at Two Levels in Humans and Chimpanzees: Their macromolecules are so alike that regulatory mutations may account for their biological differences
King, M.-C., & Wilson, A. C. (1975) · Science · doi:10.1126/science.1090005 · Cited by 2,815
HLA-DQβ gene contributes to susceptibility and resistance to insulin-dependent diabetes mellitus
Todd, J. A., Bell, J. I., & McDevitt, H. O. (1987) · Nature · doi:10.1038/329599a0 · Cited by 2,036
Searching for genetic determinants in the new millennium
Risch, N. J. (2000) · Nature · doi:10.1038/35015718 · Cited by 1,839

Flagged first, then by citations

Show all 57 references

Research works printed but not linked: 3

Legare M. E., Bartlett F. S., Frankel W. N., Genome Res. 10, 42 (2000).
Ikeda S., et al., Invest. Ophthalmol. Vis. Sci. 40, 2706 (1999).
Pericak-Vance M. A., et al., Am. J. Hum. Genet. 48, 1034 (1991).

Sorted by citations

Items 601–700 of 853

Mouse chromosome 17 candidate modifier genes for thrombosis
Sa, Q., Hart, E., Nadeau, J. H., & Hoover-Plow, J. L. (2010) · Mammalian Genome · doi:10.1007/s00335-010-9274-6 · Cited by 5
Self-citation
A algorithm for identifying disease genes by incorporating the subcellular localization information into the protein-protein interaction networks
Tang, X., Hu, X. T., Yang, X., & Sun, Y. (2016) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm.2016.7822537 · Cited by 5
Unraveling the molecules hidden in the gray shadows of quantitative disease resistance to pathogens
Vásquez, A. X., Sedano, J. C. S., & López, C. E. (2017) · Acta Biológica Colombiana · doi:10.15446/abc.v23n1.66487 · Cited by 5
Network Based Prioritization of Disease Genes
Erten, M. S. (2009) · OhioLink ETD Center (Ohio Library and Information Network) · Cited by 5
Implications of Genomics for Public Health: The Role of Genetic EpidemiologyPreprint
Merikangas, K. R. (2003) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2003.68.359 · Cited by 5
Closed-tube human leukocyte antigen DQA1∗05 genotyping assay based on switchable lanthanide luminescence probes
Lehmusvuori, A., Kiviniemi, M., Ilonen, J., & Soukka, T. (2014) · Analytical Biochemistry · doi:10.1016/j.ab.2014.07.029 · Cited by 4
Comparative study of network-based prioritization of protein domains associated with human complex diseases
Zhang, W., Chen, Y., & Jiang, R. (2010) · Frontiers of Electrical and Electronic Engineering in China · doi:10.1007/s11460-010-0018-x · Cited by 4
Immunology and genetics: phenotypic, genetic and epigenetic variation of bovine immune responses and disease resistance.
Mallard, B. A., & Smith, R. A. (2007) · Cited by 4
Genome‐wide association study for carcass traits in Hanwoo cattle using additional relatives' information of non‐genotyped animals
Kim, H. J., Heras‐Saldana, S. D. L., Moghaddar, N., Lee, S. H., Lim, D., & van der Werf, J. H. J. (2022) · Animal Genetics · doi:10.1111/age.13251 · Cited by 4
A self-adaptive binary cat swarm optimization using new time-varying transfer function for gene selection in DNA microarray expression cancer data
Sharafi, Y., Teshnehlab, M., & Aria, M. M. (2023) · Soft Computing · doi:10.1007/s00500-023-07988-2 · Cited by 4
Biometria e o Melhoramento de Plantas na Era da Genômica
Ramalho, M. A. P., & Lambert, E. D. S. (2004) · Revista Brasileira de Milho e Sorgo · doi:10.18512/1980-6477/rbms.v3n2p228-249 · Cited by 4
Translational Genomics: From Discovery to Clinical Practice
Ginsburg, G. S. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-369420-1.00022-6 · Cited by 4
Response: Central Obesity Is Associated with Glucocorticoid Receptor N363S Variant: Big Picture Sheds Light
Morris, B. J., Lin, R. C. Y., Wang, X. L., Dalziel, B., & Caterson, I. D. (2003) · Obesity Research · doi:10.1038/oby.2003.214 · Cited by 4
A Review on Genetic Testing
XIE, Y., & WU, M. (2006) · Chinese journal of biotechnology/Shengwu gongcheng xuebao · doi:10.1016/s1872-2075(06)60030-7 · Cited by 4
The Genetic Basis of Spondyloarthritis: SPARTAN/IGAS 2009
Evans, D. M., Reveille, J. D., Brown, M. A., Chandran, V., Gladman, D. D., Martin, T. M., McGovern, D. P. B., Wordsworth, B. P., & Inman, R. D. (2010) · The Journal of Rheumatology · doi:10.3899/jrheum.100892 · Cited by 4
THE FUTURE PROSPECTIVE OF GENOMIC BIOTECHNOLOGY IN ANIMAL BREEDING: THEIR POTENTIAL FOR LIVESTOCK PRODUCTION IN PAKISTAN
Wajid, A., Hussain, T., WASIM, M., Babar, M. E., Anjum, A. A., Shah, S. A., Abbas, K. M., Manzoor, M., & Badshah, N. (2013) · The Journal of Animal and Plant Sciences · Cited by 4
Alternative Base Calling Method for Resequencing Microarrays
Di, X., & Cawley, S. E. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2005.1617057 · Cited by 4
Bioinformatic tools for cancer geneticists
Stankov, K. (2005) · Archive of oncology · doi:10.2298/aoo0502069s · Cited by 4
Gene-Environment Interactions and Familial Relative Risks
Bermejo, J. L. (2008) · Human Heredity · doi:10.1159/000133836 · Cited by 4
Random forests analysis: A modern statistical method for screening in high-dimensional studies and its application in a population-based genetic association study
Noori, S., Nourijelyani, K., Mohammad, K. A., Niknam, M., Mahmoudi, M., Andonian, L., & Akaberi, A. (2012) · Journal of North Khorasan University of Medical Sciences · doi:10.29252/jnkums.3.5.s5.93 · Cited by 4
Human Puberty: Physiology, Progression, and Genetic Regulation of Variation in Onset
Kaminski, B. A., & Palmert, M. R. (2009) · Elsevier eBooks · doi:10.1016/b978-008088783-8.00065-6 · Cited by 4
Molecular dissection of genomic regions influencing important economic traits in the pig
Ramos, A. M. C. D. A. (2006) · doi:10.31274/rtd-180813-16500 · Cited by 4
Glucocorticoid Receptor Gene and Coronary Artery Disease: Right Idea, Wrong Gene Variant?
Rosmond, R. (2003) · Hypertension · doi:10.1161/01.hyp.0000081965.51761.aa · Cited by 4
Does the biomedical revolution spell the end of sport?
Caplan, A. L. (2008) · British Journal of Sports Medicine · doi:10.1136/bjsm.2008.049346 · Cited by 4
Genetic and physiological quality of tomato seed and seedlings
Khan, N. (2013) · doi:10.18174/272590 · Cited by 4
Symptoms, molecular markers and mechanisms in the development of coronary artery disease in individuals with post-traumatic stress disorder
Akóṣílè, W. (2021) · Queensland University of Technology · doi:10.5204/thesis.eprints.210971 · Cited by 4
Socioeconomic and Genomic Roots of Verbal AbilityPreprint
Guo, G., Lin, M.-J., & Harris, K. M. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.31235/osf.io/gz7er · Cited by 4
Gene–Environment Interactions: Their Role in Hypertension Development
Kuneš, J., Kadlecova, M., & Zicha, J. (2011) · Springer eBooks · doi:10.1007/978-1-4419-7207-1_17 · Cited by 3
Hypertension in young children and neonates
Jones, J. E., & José, P. A. (2005) · Current Hypertension Reports · doi:10.1007/s11906-005-0041-0 · Cited by 3
Gene Testing: What the Health Professional Needs to Know
Keku, T. O., Rakhra-Burris, T. K., & Millikan, R. C. (2003) · Journal of Nutrition · doi:10.1093/jn/133.11.3754s · Cited by 3
Predicting disease genes based on normalized protein modules and phenotype ontology
Yuan, J., Jiang, X., He, T., Wang, Y., & Guo, X. (2015) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm.2015.7359849 · Cited by 3
Socioeconomic and genomic roots of verbal ability from current evidence
Guo, G., Lin, M.-J., & Harris, K. M. (2022) · npj Science of Learning · doi:10.1038/s41539-022-00137-8 · Cited by 8
MOLECULAR DIFFERENTIATION OF MITOCHONDRIAL GLYCEROL-3-PHOSPHATE ACYLTRANSFERASE AMONG DIFFERENT BREEDS OF BUBALUS BUBALIS
Kumar, A., V, Chhokar, V., Kumar, R., Beniwal, V., Kala, S. N., Mishra, A., Raut, A. A., & Naik, P. K. (2012) · International Journal of Pharma and Bio Sciences · Cited by 3
Country Reports
Zawati, M. H., Chalmers, D., Dallari, S. G., Borba, M. D. N., Pinkesz, M., Joly, Y., Chen, H., Hartlev, M., Leitsalu, L., Soini, S., et al. (2019) · The Journal of Law Medicine & Ethics · doi:10.1177/1073110519897736 · Cited by 3
Exploring DNA Polymorphisms of Leptin Gene within Indian Water Buffaloes
Kale, D. S., Yadav, B. R., Mukherjee, A., & Prasad, J. (2013) · Journal of Advanced Veterinary Research/Journal of Advanced Veterinary Research · Cited by 3
Rat Genome Mapping and Genomics
Szpirer, C., & Levan, G. (2012) · Springer eBooks · doi:10.1007/978-3-642-31316-5_9 · Cited by 3
Residual feed intake as a criteria for feed efficiency selection
(2014) · Acta Veterinaria Brasilica · doi:10.21708/avb.2013.7.4.3269 · Cited by 3
Cracking the genetics of cerebrovascular disease
Sharma, P. (2004) · The Lancet · doi:10.1016/s0140-6736(04)16391-5 · Cited by 3
Progressive fine mapping in experimental populations: An improved strategy toward positional cloning
Chi, X.-F., Lou, X.-Y., & Shu, Q. (2008) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2008.04.026 · Cited by 3
A new approach for the identification of modifier genes in heart failure
Michel Komajda, N., & Charron, P. (2004) · The Pharmacogenomics Journal · doi:10.1038/sj.tpj.6500257 · Cited by 3
Molecular differentiation of Peroxysome proliferator activated receptor coactivator-1 among different breeds of Bubalus bubalis
Kumar, A., Kumar, R., Beniwal, V., Kala, S. N., Mishra, A., Raut, A. A., Naik, P. K., & Chhokar, V. (2012) · Bioinformation · doi:10.6026/97320630008600 · Cited by 3
Proteomic analysis of a diabetic congenic rat identified age-dependent alteration of an acidic protein
Shono, S., Kose, H., Yamada, T., & Matsumoto, K. (2007) · The Journal of Medical Investigation · doi:10.2152/jmi.54.289 · Cited by 3
Latest Biotechnological Approaches for Efficient Buffalo Production
Babar, M. E., Hussain, T., & Wajid, A. (2013) · Buffalo Bulletin · Cited by 3
HaploChIP: An In Vivo Assay
Knight, J. C. (2005) · Humana Press eBooks · doi:10.1385/1-59259-957-5:049 · Cited by 3
Big Drug Design Mechanisms via Systems Biology and Big Database Mining
Chen, B., & Li, C. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-809479-2.00012-3 · Cited by 3
Investigating multiple dysregulated pathways in rheumatoid arthritis based on pathway interaction network
Song, X., Song, X.-X., Liu, G., Ren, C.-H., Sun, Y., Liu, K., Liu, B., Liang, S., & Min, Z. (2018) · Journal of Genetics · doi:10.1007/s12041-018-0897-9 · Cited by 3
Mouse Genomics
Benavides, F. J., & Guénet, J. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-382008-2.00004-0 · Cited by 4
Immunology and Genetics
Mallard, B. A. (2007) · American Association of Bovine Practitioners Conference Proceedings · doi:10.21423/aabppro20074504 · Cited by 3
Identification and reciprocal introgression of a QTL affecting body mass in mice
Christians, J. K., Rance, K. A., Knott, S., Pignatelli, P. M., Oliver, F., & Bünger, L. (2004) · Genetics Selection Evolution · doi:10.1051/gse:2004018 · Cited by 3
The mouse genome sequence - the end of the tail, or just the beginning?
Rossant, J., & Scherer, S. W. (2003) · Genome biology · doi:10.1186/gb-2003-4-4-109 · Cited by 3
Monte Carlo studies of genetic networks with special reference to the biological clock of Neurospora crassa
Yu, Y. (2005) · Cited by 3
Different genetic architectures of complex traits and their relevance to polygenic score performance in diverse populationsPreprint
Carvalho, N. R. G., Harris, A. M., & Lachance, J. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.29.514295 · Cited by 3
The preclinical discovery and development of romosozumab for the treatment of people with severe osteoporosis who are at high risk of fracture
Geusens, P., Hul, W. V., van den Bergh, J. P., & Lems, W. F. (2025) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2025.2594642 · Cited by 2
Gene polymorphisms associated with temperament in Merino sheep
Qiu, X. (2015) · Cited by 2
Classification of Autism Genes Using Network Science and Linear Genetic Programming
Zhang, Y., Chen, Y., & Hu, T. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-44094-7_18 · Cited by 2
Genetic aspects of parasomnias
Young, P. (2008) · Somnologie - Schlafforschung und Schlafmedizin · doi:10.1007/s11818-008-0334-z · Cited by 2
Allelic Frequency in Chicken Thyroid Hormone Responsive Spot 14 Alfa Gene (THRSPα)
d’Andre, C., Paul, W., Yan, W., Luo, C., Nie, Q. H., Yang, G., & Zhang, X. (2009) · Asian Journal of Animal Sciences · doi:10.3923/ajas.2009.85.91 · Cited by 2
Cellular and animal models of type 2 diabetes GWAS gene polymorphisms: what can we learn?
Rutter, G. A. (2013) · Drug Discovery Today Disease Models · doi:10.1016/j.ddmod.2013.02.002 · Cited by 2
Identification of 1,531 cSNPs from Full-length Enriched cDNA Libraries of the Korean Native Pig Using in Silico Analysis
Oh, Y., Nguyen, D. T., Park, K., Dirisala, V. R., Choi, H., & Park, C. (2009) · Genomics & Informatics · doi:10.5808/gi.2009.7.2.065 · Cited by 2
A New Method to Combine Heterogeneous Data Sources for Candidate Gene Prioritization
Li, Y., Patra, J. C., & Sun, J. (2009) · IEEE International Conference on Bioinformatics and Bioengineering (BIBE) · doi:10.1109/bibe.2009.42 · Cited by 2
Quantitative Trait Locus Mapping to Identify Genes for Complex Traits in Mice
Smith, J. D. (2008) · Springer protocols handbooks/Springer protocols · doi:10.1007/978-1-60327-375-6_18 · Cited by 2
Caprine Genome Analysis Reveals Valuable Insights into Selection of Enhanced Phenotypic Traits to Enable Improved Goat Breeding Programs
Shoyombo, A. J., Hương, V. T. G., & Taylor-Robinson, A. W. (2018) · Journal of Animal Husbandry and Dairy Science · doi:10.22259/2637-5354.0203003 · Cited by 1
Mapping Quantitative Trait Loci
Weller, J. I. (2012) · Wiley eBooks · doi:10.1002/9781118301739.ch12 · Cited by 2
Association Studies of Complex Diseases
Xiong, M., & Li, J. (2007) · doi:10.1002/9783527619368.ch38 · Cited by 2
Genetics and Autoimmunity: Non-MHC Genes
Tomer, Y. (2006) · Elsevier eBooks · doi:10.1016/b978-012595961-2/50024-x · Cited by 2
Single Nucleotide Polymorphisms in Human Disease and Evolution: Phylogenies and Genealogies
Thomas, P. D. (2008) · Wiley eBooks · doi:10.1002/9780470015902.a0020763 · Cited by 2
Strategies for Studying Complex Genetic Traits
Nathan, B. M., Hirschhorn, J. N., & Palmert, M. R. (2004) · The Endocrinologist · doi:10.1097/01.ten.0000146242.75018.a9 · Cited by 2
Principles for the post-GWAS functional characterisation of risk lociPreprint
Monteiro, Á. N. A., Coetzee, G. A., Freedman, M. L., Biasi, M. D., Casey, G., Duggan, D., Risch, A., Plass, C., Liu, P., James, M. A., et al. (2010) · Nature Precedings · doi:10.1038/npre.2010.5162.1 · Cited by 2
The Application of RAGE and GECKO in Cell-Based Target Discovery Screens
Brunden, K., Sherf, B., & Harrington, J. (2005) · Pharmacogenomics · doi:10.1517/14622416.6.4.383 · Cited by 2
Finding genes that underlie cancer using genetic tools
Carracedo, Á. (2006) · Clinical & Translational Oncology · doi:10.1007/s12094-006-0129-2 · Cited by 2
Population screening for single genes that codetermine common diseases in adulthood had limited effects
Lamberts, S. W. J., Langeveld, C. H., & Vandenbroucke, J. P. (2006) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2005.09.006 · Cited by 2
GENETIC SUSCEPTIBILITY TO THE METABOLIC SYNDROME
Bossé, Y. (2004) · Corpus Université Laval (Université Laval) · Cited by 2
Genetics of Atopic Eczema
Weidinger, S., Rodríguez, E., & Irvine, A. D. (2009) · CRC Press eBooks · doi:10.3109/9781420077995-4 · Cited by 2
Principles for the post-GWAS functional characterisation of risk lociPreprint
Casey, G., Liu, P., Biasi, M. D., Tichelaar, J. W., Carlson, C., Vikis, H. G., Duggan, D., You, M., Mills, I. G., Freedman, M. L., et al. (2011) · Nature Precedings · doi:10.1038/npre.2011.5162.2 · Cited by 2
Genetic architecture of trophic adaptations in cichlid fishesPreprint
DeLorenzo, L., DeBrock, V., Baez, A. C., Ciccotto, P. J., Peterson, E. N., Stull, C., Roberts, N. B., Roberts, R. B., & Powder, K. E. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.03.494688 · Cited by 2
Evolution of Flowering Time in the Tetraploid Capsella bursa-pastoris (Brassicaceae)
Slotte, T. (2007) · Uppsala University Publications (Uppsala University) · Cited by 2
The Diversity of Quantitative Trait Loci in Yeast Sporulation Efficiency
Lorenz, K. (2013) · Open Scholarship Institutional Repository (Washington University in St. Louis) · doi:10.7936/k74b2zbr · Cited by 1
Target-Selected ENU Mutagenesis to Develop Cancer Models in the Rat
Smits, B. M. G., Cuppen, E. P. J. G., & Gould, M. N. (2011) · Springer eBooks · doi:10.1007/978-0-387-69805-2_6 · Cited by 1
Chapter 11 Anti-GBM Disease: Mechanisms, Clinical Features, and Treatment
Henderson, L., & Turner, N. (2007) · Technical report · doi:10.1016/s1571-5078(07)07011-0 · Cited by 1
Genetic heterogeneity in rheumatoid arthritis mouse models induced by extrinsic and intrinsic factors
Mizuki, S., Oishi, H., Zhang, M.-C., Kamogawa, J., Miyazaki, T., Ono, M., Takahashi, S., Yamamoto, H., & Nose, M. (2010) · Pathology International · doi:10.1111/j.1440-1827.2010.02537.x · Cited by 1
Partition dataset according to amino acid type improves the prediction of deleterious non-synonymous SNPs
Yang, J., Li, Y., Li, Y., & Ye, Z. (2012) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2012.01.138 · Cited by 1
A novel method for SNP detection based on combinative analysis of primer extension and ligation
Mao, C., Qian, X., & Xiao, P. (2013) · International Conference on Biomedical Engineering and Informatics (BMEI) · doi:10.1109/bmei.2013.6746982 · Cited by 1
Combining DNA pooling with selective recombinant genotyping for increased efficiency in fine mapping
Chi, X.-F., Lou, X., & Shu, Q. (2009) · Theoretical and Applied Genetics · doi:10.1007/s00122-009-1198-8 · Cited by 1
Combining flux balance analysis and model checking for metabolic network validation and analysis
Pagliarini, R., Sangiovanni, M., Peron, A., & di Bernardo, D. (2014) · Natural Computing · doi:10.1007/s11047-014-9419-8 · Cited by 1
Using Molecular Sizes of Simple Sequence Repeats vs. Discrete Binned Data in Assessing Probability of Ancestry
Berry, D. A., Wright, D. L., Xie, C., Seltzer, J. D., & Smith, J. S. C. (2004) · Genetics · doi:10.1534/genetics.103.022061 · Cited by 1
CANDIDATE GENE MAPPING: APPROACH, METHODS AND SIGNIFICANCE
Patel, S. H., & Patel, N. K. (2013) · Cited by 1
Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine 1378 Genetic Analysis of Quantitative Traits Using Domestic Animals A Candidate Gene and Genome Scanning Approach
Park, H.-B. (2004) · Cited by 1
Mitochondrial DNA variation in extremely selected traits: longevity and elite athletic performance
Niemi, A. (2005) · Cited by 1
Pharmacogenomics of G Protein-Coupled Receptor Signaling and Other Pathways in Essential Hypertension
José, P. A., Villar, V. A. M., Weir, M. R., & Felder, R. A. (2013) · Methods in pharmacology and toxicology · doi:10.1007/978-1-62703-779-2_16 · Cited by 1
A Genetic Algorithm to Filter SNPs for SNP Association Study
Zhang, J., Jiang, S., Zhao, X., & Liu, L. (2012) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wi-iat.2012.146 · Cited by 1
Diagnosis of Breast Cancer Subtypes using the Selection of Effective Genes from Microarray Data
Tabatabaei, A. (2019) · Iranian Journal of Breast Disease · doi:10.30699/acadpub.ijbd.12.01.39 · Cited by 1
Frecuencia de SNP en genes candidatos para crecimiento y su efecto en caracteres de peso vivo en ganado para carne de Tamaulipas
Sifuentes‐Rincón, A. M., Parra‐Bracamonte, G. M., Arellano‐Vera, W., Morales, P. A., Covarrubias, A. C., & Medina, V. R. M. (2020) · Revista Mexicana de Ciencias Pecuarias · doi:10.22319/rmcp.v11i1.4684 · Cited by 1
Genetics and Periodontal Disease: An Explicit Insight
Umesh, S. G., Ramachandran, L., Karthikeyan, J., & Mani, A. (2021) · Dentistry · doi:10.5772/intechopen.99266 · Cited by 1
Identifying Candidate Disease Gene GAD2 for Obesity by Computational Gene Prioritization Tool ENDEAVOUR
Zhang, H., Song, X., & Wang, H. (2009) · Communications in computer and information science · doi:10.1007/978-3-642-10616-3_2 · Cited by 1
Testing hypotheses regarding the genetics of adaptation
Phillips, P. C. (2005) · Springer eBooks · doi:10.1007/1-4020-3836-4_3 · Cited by 1
Predicting Essential Genes of Alzheimer Disease based on Module Partition and Gravity-like Method in Heterogeneous Network
Guo, H., Cao, S., Zhou, C., Wu, X., & Zou, Y. (2022) · WSEAS TRANSACTIONS ON APPLIED AND THEORETICAL MECHANICS · doi:10.37394/232011.2022.17.20 · Cited by 1
IDENTIFICATION OF EFFECTIVE GENES OF MULTIPLE CANCERS USING NEURAL NETWORK
Fouladlou, S., Rajabioun, M., & Hashemian, D. B. (2023) · Biomedical Engineering Applications Basis and Communications · doi:10.4015/s1016237223500205 · Cited by 1
Polymorphisms in cathepsin b is associated with growth in Asian seabass
Yeo, S., Wong, J., Tay, Y. X., Yang, Z., Wang, L., Sun, F., Lee, M., Wen, Y., & Yue, G. H. (2025) · Aquaculture and Fisheries · doi:10.1016/j.aaf.2025.05.003 · Cited by 1
Genes and Gene–Environment Interactions in the Pathogenesis of Obesity and the Metabolic Syndrome
Sanoudou, D., Vafiadaki, E., & Mantzoros, C. S. (2009) · Humana Press eBooks · doi:10.1007/978-1-60327-453-1_2 · Cited by 1
Current status of Brassica A genome analysis
Choi, S.-R., & Kwon, S.-J. (2012) · Journal of Plant Biotechnology · doi:10.5010/jpb.2012.39.1.033 · Cited by 1

Authors: Glazier, A. M., Nadeau, J. H., & Aitman, T. J.
Affiliations: Hammersmith Hospital (GB)
Case Western Reserve University (US)
Corresponding author: Nadeau, Joseph H.
Aitman, Timothy J.
ORCID: Nadeau, Joseph H.
Aitman, Timothy J.
Venue: Science
Publisher: American Association for the Advancement of Science (AAAS)
Published: 2002-12-20
Volume: 298
Issue: 5602
Pages: 2345-2349
ISSN: 0036-8075 (ISSN-L)
1095-9203
DOI: 10.1126/science.1076641
OpenAlex: W1838763289
Cited by: 855
References: 57
Citations by year: 2026: 6 · 2025: 6 · 2024: 5 · 2023: 11 · 2022: 17 · 2021: 14 · 2020: 12 · 2019: 12 · 2018: 15 · 2017: 10 · 2016: 19 · 2015: 33 · 2014: 19 · 2013: 42 · 2012: 38
FWCI: 8.75
Type: journal article
Language: en
Open access: closed
Locations: Science (publishedVersion)
PubMed (publishedVersion)
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 › Genetic and phenotypic traits in livestock
Keywords: complex traits, gene discovery, phenotypic variability, gene-environment interaction, genetic heterogeneity, low penetrance, statistical power, genomic resources, common diseases, natural selection, selective breeding
MeSH terms: Alleles, Animals, Chromosome Mapping, Humans, Genetic Linkage, Mutation, Phenotype, Plants, Saccharomyces cerevisiae, Genetic Variation, Sequence Analysis, DNA, Quantitative Trait, Heritable, Genetic Predisposition to Disease, Multifactorial Inheritance, Quantitative Trait Loci

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

Finding genes that underlie complex traits.

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks