The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
On the advantage of haplotype analysis in the presence of multiple disease susceptibility alleles
Abstract
We investigated the effect of multiple susceptibility alleles at a single disease locus on the statistical power of a likelihood ratio test to detect association between alleles at a marker locus and a disease phenotype in a case-control design. Using simplifying assumptions to obtain the joint frequency distribution of marker and disease locus alleles, we present numerical results that illustrate the impact of historical variation of initial associations between marker alleles and susceptibility alleles on the power of a likelihood ratio test for association. Our results show that an increase in the number of susceptibility alleles produces a decrease in power of the likelihood ratio test. The decrease in power in the presence of multiple susceptibility alleles, however, is less for markers with multiple alleles than for markers with two alleles. We investigate the implications of this observation for tests of association based on haplotypes made up of tightly linked single-nucleotide polymorphisms (SNPs). Our results suggest that an analysis based on haplotypes can be advantageous over an analysis based on individual SNPs in the presence of multiple susceptibility alleles, particularly when linkage disequilibria between SNPs is weak. The results provide motivation for further development of statistical methods based on haplotypes for assessing the potential for association methods to identify and locate complex disease genes.
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
“Compared to SNP-based studies, haplotype analysis can increase the statistical power of genetic analysis and identify key disease-associated SNPs or haplotypes [46].”
From Association of SPI1 haplotypes with altered SPI1 gene expression and Alzheimer’s disease risk (2022) · cites this paper as [46]
Citations
Cites
An introduction to probability theory and its applications
(1958) · Journal of the Franklin Institute · doi:10.1016/0016-0032(58)90688-4 · Cited by 29,621
Hapeman, D. E., & Agresti, A. (1991) · Technometrics · doi:10.1080/00401706.1991.10484817 · Cited by 9,407
Genetic Dissection of Complex Traits
Lander, E. S., & Schork, N. J. (1994) · Science · doi:10.1126/science.8091226 · Cited by 3,425
Fleiss, J. L., & Agresti, A. (1991) · Journal of the American Statistical Association · doi:10.2307/2290537 · Cited by 2,670
Maximum-likelihood estimation of molecular haplotype frequencies in a diploid population.
(1995) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a040269 · Cited by 1,950
Are Rare Variants Responsible for Susceptibility to Complex Diseases?
Pritchard, J. K. (2001) · The American Journal of Human Genetics · doi:10.1086/321272 · Cited by 1,197
An Introduction to Probability Theory and Its Applications.
Cox, D. R., & Feller, W. (1958) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2342907 · Cited by 1,100
Handbook of Statistical Genetics
Balding, D., Bishop, M., & Cannings, C. (2004) · Wiley eBooks · doi:10.1002/0470022620 · Cited by 620
Haplotypes vs single marker linkage disequilibrium tests: what do we gain?
Akey, J. M., Li, J., & Xiong, M. (2001) · European Journal of Human Genetics · doi:10.1038/sj.ejhg.5200619 · Cited by 435
Fallin, M. D., Cohen, A., Essioux, L., Chumakov, I. M., BLUMENFELD, M. L., Cohen, D., & Schork, N. J. (2001) · Genome Research · doi:10.1101/gr.148401 · Cited by 417
Research works printed but not linked: 1
- 10.1191/096228001666442347 · DOI
Cited by
Sorted by citations
Nyholt, D. R. (2004) · The American Journal of Human Genetics · doi:10.1086/383251 · Cited by 1,699
An evaluation of statistical approaches to rare variant analysis in genetic association studies
Morris, A. P., & Zeggini, E. (2010) · Genetic Epidemiology · doi:10.1002/gepi.20450 · Cited by 481
The role of haplotypes in candidate gene studies
Clark, A. G. (2004) · Genetic Epidemiology · doi:10.1002/gepi.20025 · Cited by 428
Evaluating associations of haplotypes with traits
Schaid, D. J. (2004) · Genetic Epidemiology · doi:10.1002/gepi.20037 · Cited by 315
Rare Variant Association Analysis Methods for Complex Traits
Asimit, J. L., & Zeggini, E. (2010) · Annual Review of Genetics · doi:10.1146/annurev-genet-102209-163421 · Cited by 281
Inference on haplotype effects in case-control studies using unphased genotype data.
Epstein, M. P., & Satten, G. (2003) · American Journal of Human Genetics · doi:10.1086/380204 · Cited by 268
Molecular genetics of autism spectrum disorder
Veenstra-VanderWeele, J. M., & Cook, E. H. (2004) · Molecular Psychiatry · doi:10.1038/sj.mp.4001505 · Cited by 224
Ma, X., Liu, Y., Gowen, B. B., Graviss, E. A., Clark, A. G., & Musser, J. M. (2007) · PLoS ONE · doi:10.1371/journal.pone.0001318 · Cited by 194
Expansion of the human μ-opioid receptor gene architecture: novel functional variants
Shabalina, S. A., Zaykin, D. V., Gris, P., Ogurtsov, A. Y., Gauthier, J., Shibata, K., Tchivileva, I. E., Belfer, I., Mishra, B. K., Kiselycznyk, C., et al. (2008) · Human Molecular Genetics · doi:10.1093/hmg/ddn439 · Cited by 174
Searching for genetic clues to the causes of pre-eclampsia
Chappell, S., & Morgan, L. (2006) · Clinical Science · doi:10.1042/cs20050323 · Cited by 175
Features and applications of haplotypes in crop breeding
Bhat, J. A., Yu, D., Bohra, A., Ganie, S. A., & Varshney, R. K. (2021) · Communications Biology · doi:10.1038/s42003-021-02782-y · Cited by 182
Haplotype analysis in population genetics and association studies
Zhao, H., Pfeiffer, R. M., & Gail, M. H. (2003) · Pharmacogenomics · doi:10.1517/phgs.4.2.171.22636 · Cited by 168
A Powerful Strategy to Account for Multiple Testing in the Context of Haplotype Analysis
Becker, T., & Knapp, M. (2004) · The American Journal of Human Genetics · doi:10.1086/424390 · Cited by 166
Lorenz, A. J., Hamblin, M. T., & Jannink, J. (2010) · PLoS ONE · doi:10.1371/journal.pone.0014079 · Cited by 153
Likelihood-Based Inference on Haplotype Effects in Genetic Association Studies
Lin, D., & Zeng, D. (2006) · Journal of the American Statistical Association · doi:10.1198/016214505000000808 · Cited by 146
Genome-wide association studies: progress and potential for drug discovery and development
Kingsmore, S. F., Lindquist, I. E., Mudge, J., Gessler, D. D. G., & Beavis, W. D. (2008) · Nature Reviews Drug Discovery · doi:10.1038/nrd2519 · Cited by 145
Haplotype‐Association Analysis
Liu, N., Zhang, K., & Zhao, H. (2008) · Advances in genetics · doi:10.1016/s0065-2660(07)00414-2 · Cited by 141
Kraft, P. L., Cox, D. G., Paynter, R. A., Hunter, D., & Vivo, I. D. (2005) · Genetic Epidemiology · doi:10.1002/gepi.20061 · Cited by 137
Tag SNP selection in genotype data for maximizing SNP prediction accuracy
Halperin, E., Kimmel, G., & Ron Shamir, A. (2005) · Bioinformatics · doi:10.1093/bioinformatics/bti1021 · Cited by 129
gerbil : Genotype resolution and block identification using likelihood
Kimmel, G., & Ron Shamir, A. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0404730102 · Cited by 127
Orloff, M. S., Peterson, C., He, X., Ganapathi, S. S., Heald, B., Yang, Y.-R., Bebek, G., Romigh, T., Song, J. H., Wu, W., et al. (2011) · JAMA · doi:10.1001/jama.2011.1029 · Cited by 125
Lin, D. Y., Zeng, D., & Millikan, R. C. (2005) · Genetic Epidemiology · doi:10.1002/gepi.20098 · Cited by 120
Ranks of Genuine Associations in Whole-Genome Scans
Zaykin, D. V., & Анатольевич, Ж. Л. (2005) · Genetics · doi:10.1534/genetics.105.044206 · Cited by 94
Simple and Efficient Analysis of Disease Association with Missing Genotype Data
Lin, D. Y., Hu, Y., & Huang, B. E. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2007.11.004 · Cited by 91
Entropy as a Measure for Linkage Disequilibrium over Multilocus Haplotype Blocks
Nothnagel, M., Fürst, R., & Rohde, K. (2003) · Human Heredity · doi:10.1159/000070664 · Cited by 95
Comparison of prospective and retrospective methods for haplotype inference in case‐control studies
Satten, G. A., & Epstein, M. P. (2004) · Genetic Epidemiology · doi:10.1002/gepi.20020 · Cited by 83
MDR1, the blood–brain barrier transporter, is associated with Parkinson’s disease in ethnic Chinese
Lee, C. G. L., Tang, K., Cheung, Y. B., Wong, L. P., Tan, C., Shen, H., Zhao, Y., Pavanni, R., Lee, E. J. D., Wong, M.-C., et al. (2004) · Journal of Medical Genetics · doi:10.1136/jmg.2003.013003 · Cited by 82
Guo, S., Huang, K., Shi, Y., Tang, W., Zhou, J. P., Feng, G., Zhu, S., Liu, H., Chen, Y., Sun, X.-D., et al. (2007) · Schizophrenia Research · doi:10.1016/j.schres.2007.03.007 · Cited by 75
Dilla-Ermita, C. J., Tandayu, E., Juanillas, V. M., Detras, J., Lozada, D. N., Dwiyanti, M. S., Cruz, C. V., Mbanjo, E. G. N., Ardales, E. Y., Diaz, M. G. Q., et al. (2017) · Rice · doi:10.1186/s12284-017-0147-4 · Cited by 75
Ballard, D. H., Cho, J. H., & Zhao, H. (2009) · Genetic Epidemiology · doi:10.1002/gepi.20448 · Cited by 74
N’Diaye, A., Haile, J. K., Cory, A. T., Clarke, F. R., Clarke, J. M., Knox, R. E., & Pozniak, C. J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0170941 · Cited by 73
Association of the PIK3C2G gene polymorphisms with type 2 DM in a Japanese population
Daimon, M., Sato, H., Oizumi, T., Toriyama, S., Saito, T., Karasawa, S., Jimbu, Y., Wada, K., Kameda, W., Susa, S., et al. (2007) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2007.10.180 · Cited by 73
Elosúa, R., Ordovás, J. M., Cupples, L. A., Lai, C., Demissie, S., Fox, C. S., Polak, J. F., Wolf, P. A., D’Agostino, R. B., & O’Donnell, C. J. (2006) · Journal of Lipid Research · doi:10.1194/jlr.m500446-jlr200 · Cited by 71
Li, Y., Wang, J., Jiang, F., Lin, W., & Meng, W. (2012) · BMC Medical Genetics · doi:10.1186/1471-2350-13-1 · Cited by 70
Hierarchical Modeling of Linkage Disequilibrum: Genetic Structure and Spatial Relations
Conti, D. V., & Witte, J. S. (2003) · The American Journal of Human Genetics · doi:10.1086/346117 · Cited by 68
Nothnagel, M., & Rohde, K. (2005) · The American Journal of Human Genetics · doi:10.1086/498175 · Cited by 67
Li, Y., Sung, W.-K. K., & Liu, J. (2007) · The American Journal of Human Genetics · doi:10.1086/513205 · Cited by 66
An, B., Xia, J., Chang, T., Wang, X., Xu, L., Zhang, L., Gao, X., Chen, Y., Li, J., & Gao, H. (2019) · Animal Genetics · doi:10.1111/age.12805 · Cited by 66
Fiedler, J. D., Salsman, E., Liu, Y., de Jiménez, M. M., Hegstad, J. B., Chen, B., Manthey, F. A., Chao, S., Xu, S. S., Elias, E. M., et al. (2017) · The Plant Genome · doi:10.3835/plantgenome2017.05.0038 · Cited by 62
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
Multiple Testing in the Context of Haplotype Analysis Revisited: Application to Case‐Control Data
Becker, T., Cichon, S., Jönson, E., & Knapp, M. (2005) · Annals of Human Genetics · doi:10.1111/j.1529-8817.2005.00198.x · Cited by 61
Barendse, W. (2011) · PLoS ONE · doi:10.1371/journal.pone.0029601 · Cited by 61
Liu, J., Yu, Y., Li, F., Zhang, X., & Xiang, J. (2014) · Fish & Shellfish Immunology · doi:10.1016/j.fsi.2014.04.009 · Cited by 59
Guella, I., Asselta, R., Ardissino, D., Merlini, P. A., Peyvandi, F., Kathiresan, S., Mannucci, P. M., Marco Tubaro, U., & Duga, S. (2010) · Journal of Lipid Research · doi:10.1194/jlr.m010009 · Cited by 59
Genome-Wide Association Studies Using Haplotypes and Individual SNPs in Simmental Cattle
Wu, Y., Fan, H., Wang, Y., Zhang, L., Gao, X., Chen, Y., Li, J., Ren, H., & Gao, H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0109330 · Cited by 58
Association mapping of resistance to rice blast in upland field conditions
Raboin, L., Ballini, E., Tharreau, D., Ramanantsoanirina, A., Frouin, J., Courtois, B., & Ahmadi, N. (2016) · Rice · doi:10.1186/s12284-016-0131-4 · Cited by 58
Identification of a novel IRGM promoter single nucleotide polymorphism associated with tuberculosis
Che, N., Li, S., Gao, T., Zhang, Z., Han, Y., Zhang, X., Sun, Y., Liu, Y., Sun, Z., Zhang, J., et al. (2010) · Clinica Chimica Acta · doi:10.1016/j.cca.2010.06.009 · Cited by 56
Graziano, F., Ruzzo, A., Santini, D., Humar, B., Tonini, G., Catalano, V., Berardi, R., Pizzagalli, F., Arduini, F., Bearzi, I., et al. (2005) · Journal of Clinical Oncology · doi:10.1200/jco.2005.02.345 · Cited by 56
The Heterogeneous Allelic Repertoire of Human Toll-Like Receptor (TLR) Genes
Georgel, P., Macquin, C., & Bahram, S. (2009) · PLoS ONE · doi:10.1371/journal.pone.0007803 · Cited by 56
da Silva, T. M., Rocha, A. V., Lacchini, R., Marques, C. R., Silva, E. S., Tanus-Santos, J. E., & Rios-Santos, F. (2012) · Gene · doi:10.1016/j.gene.2012.04.047 · Cited by 53
Association Study Between C-Reactive Protein Genes and Ischemic Stroke in Japanese Subjects
MORITA, A., NAKAYAMA, T., & Soma, M. (2006) · American Journal of Hypertension · doi:10.1016/j.amjhyper.2005.11.015 · Cited by 53
A haplotype of the CYP4A11 gene associated with essential hypertension in Japanese men
Fu, Z.-Y., Nakayama, T., Sato, N., Izumi, Y., Kasamaki, Y., Shindo, A., Ohta, M., Soma, M., Aoi, N., Sato, M., et al. (2008) · Journal of Hypertension · doi:10.1097/hjh.0b013e3282f2f10c · Cited by 52
Guo, W., & Lin, S. (2009) · Genetic Epidemiology · doi:10.1002/gepi.20382 · Cited by 51
Association of a CYP4A11 Variant and Blood Pressure in Black Men
Gainer, J. V., Lipkowitz, M. S., Yu, C., Waterman, M. R., Dawson, E. P., Capdevila, J. H., & Brown, N. J. (2008) · Journal of the American Society of Nephrology · doi:10.1681/asn.2008010063 · Cited by 51
Haplotype and Missing Data Inference in Nuclear FamiliesPreprint
Lin, S., Chakravarti, A., & Cutler, D. J. (2004) · Genome Research · doi:10.1101/gr.2204604 · Cited by 51
Gene, region and pathway level analyses in whole‐genome studies
la Cruz, O. D., Wen, X., Ke, B., Song, M., & Nicolae, D. L. (2009) · Genetic Epidemiology · doi:10.1002/gepi.20452 · Cited by 50
Factors Affecting the Power of Haplotype Markers in Association Studies
Hamblin, M. T., & Jannink, J. (2011) · The Plant Genome · doi:10.3835/plantgenome2011.03.0008 · Cited by 49
Braz, C. U., Taylor, J. F., Bresolin, T., Espigolan, R., Feitosa, F. L. B., Carvalheiro, R., Baldi, F. S., de Albuquerque, L. G., & de Oliveira, H. N. (2019) · BMC Genetics · doi:10.1186/s12863-019-0713-4 · Cited by 48
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
Sheikh, H. I., Kryski, K. R., Smith, H. J., Hayden, E. P., & Singh, S. M. (2012) · Neuroscience · doi:10.1016/j.neuroscience.2012.10.056 · Cited by 48
Bayesian Spatial Modeling of Haplotype Associations
Thomas, D. C., Stram, D. O., Conti, D. V., Molitor, J., & Marjoram, P. (2003) · Human Heredity · doi:10.1159/000073730 · Cited by 45
Haplotype Analysis of the CYP8A1 Gene Associated With Myocardial Infarction
Xie, X., Ma, Y.-T., Fu, Z.-Y., Yang, Y., Ma, X., Chen, B., Wang, Y., & Liu, F. (2009) · Clinical and Applied Thrombosis/Hemostasis · doi:10.1177/1076029608329581 · Cited by 45
Haplotype‐based association analysis in cohort studies of unrelated individuals
Lin, D. Y. (2004) · Genetic Epidemiology · doi:10.1002/gepi.10317 · Cited by 44
A Fast Method for Computing High-Significance Disease Association in Large Population-Based Studies
Kimmel, G., & Ron Shamir, A. (2006) · The American Journal of Human Genetics · doi:10.1086/507317 · Cited by 46
Zeng, D. (2005) · Biostatistics · doi:10.1093/biostatistics/kxj021 · Cited by 44
Detecting haplotype effects in genomewide association studies
Huang, B. E., Amos, C. I., & Lin, D. Y. (2007) · Genetic Epidemiology · doi:10.1002/gepi.20242 · Cited by 42
A Haplotype of the CYP4F2 Gene is Associated With Cerebral Infarction in Japanese Men
Fu, Z.-Y., Nakayama, T., Sato, N., Izumi, Y., Kasamaki, Y., Shindo, A., Ohta, M., Soma, M., Aoi, N., Sato, M., et al. (2008) · American Journal of Hypertension · doi:10.1038/ajh.2008.276 · Cited by 43
Conti, D. V., & Gauderman, W. J. (2004) · Genetic Epidemiology · doi:10.1002/gepi.20039 · Cited by 42
Shang, Z., Lv, H., Zhang, M., Duan, L., Wang, S., Li, J., Liu, G., Zhang, R., & Jiang, Y. (2015) · Oncotarget · doi:10.18632/oncotarget.6391 · Cited by 42
Genetic Variations in ADIPOQ Gene Are Associated with Chronic Obstructive Pulmonary Disease
Yuan, Y., Jiang, H., Kuang, J., Hou, X., Feng, Y., & Su, Z. (2012) · PLoS ONE · doi:10.1371/journal.pone.0050848 · Cited by 43
Zhai, R., Zhou, W., Gong, M. N., Thompson, B., Su, L., Yu, C., Kraft, P., & Christiani, D. C. (2007) · Critical Care Medicine · doi:10.1097/01.ccm.0000256845.92640.38 · Cited by 42
Haplotype-based breeding: A new insight in crop improvement
Sivabharathi, R. C., Rajagopalan, V. R., Suresh, R., Sudha, M., KARTHIKEYAN, G., Jayakanthan, M., & Raveendran, M. (2024) · Plant Science · doi:10.1016/j.plantsci.2024.112129 · Cited by 48
Cannabinoid Receptor 1 Gene is Associated with Alcohol Dependence
Marcos, M., Pastor, I., de la Calle, C., Barrio‐Real, L., Laso, F. J., & González‐Sarmiento, R. (2011) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2011.01623.x · Cited by 41
Association of IGF1 and KDM5A polymorphisms with performance, fatness and carcass traits in chickens
Boschiero, C., Jorge, É. C., Ninov, K., Nones, K., do Rosário, M. F., Coutinho, L. L., Ledur, M. C., Burt, D. W., & Moura, A. S. A. M. T. (2012) · Journal of Applied Genetics · doi:10.1007/s13353-012-0129-6 · Cited by 41
Host Genetic Factors and Vaccine-Induced Immunity to HBV Infection: Haplotype Analysis
Ryckman, K. K., Fielding, K., Hill, A. V. S., Mendy, M. E., Rayco‐Solon, P., Sirugo, G., van der Sande, M. A. B., Waight, P., Whittle, H. C., Hall, A. J., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012273 · Cited by 41
An, B., Xia, J., Chang, T., Wang, X., Miao, J., Xu, L., Zhang, L., Gao, X., Chen, Y., Li, J., et al. (2018) · Physiological Genomics · doi:10.1152/physiolgenomics.00022.2018 · Cited by 40
Identification of Risk-Related Haplotypes with the Use of Multiple SNPs from Nuclear Families
Shi, M., Umbach, D. M., & Weinberg, C. R. (2007) · The American Journal of Human Genetics · doi:10.1086/518670 · Cited by 41
Bernig, T., Breunis, W. B., Brouwer, N., Hutchinson, A. A., Welch, R. A., Roos, D., Kuijpers, T. W., & Chanock, S. J. (2005) · Human Genetics · doi:10.1007/s00439-005-0053-5 · Cited by 41
Association of the ABCA1 gene polymorphisms with type 2 DM in a Japanese population
Daimon, M., Kido, T., Baba, M., Oizumi, T., Jimbu, Y., Kameda, W., Yamaguchi, H., Ohnuma, H., Tominaga, M., Muramatsu, M., et al. (2005) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2005.01.119 · Cited by 40
Lv, H., Zhang, M., Shang, Z., Li, J., Zhang, S., Lian, D., & Zhang, R. (2016) · Oncotarget · doi:10.18632/oncotarget.13631 · Cited by 38
Liu, Y., Rocha-Sanchez, S. M., Liu, P.-Y., Long, J., Lü, Y., Elze, L., Recker, R. R., & Deng, H. (2004) · Physiological Genomics · doi:10.1152/physiolgenomics.00213.2003 · Cited by 38
Buch, S. C., Diergaarde, B. B., Nukui, T., Day, R., Siegfried, J. M., Romkes, M., & Weissfeld, J. L. (2011) · Molecular Carcinogenesis · doi:10.1002/mc.20858 · Cited by 37
Zhang, Y., Long, J., Liu, P.-Y., Liu, Y., Shen, H., Zhao, L., & Deng, H. (2003) · Biochemical and Biophysical Research Communications · doi:10.1016/s0006-291x(03)01479-7 · Cited by 37
Association between fibroblast growth factor 7 and the risk of chronic obstructive pulmonary disease
Xu, S., Kuang, J., Liu, J., Ma, C., Feng, Y., & Su, Z. (2012) · Acta Pharmacologica Sinica · doi:10.1038/aps.2012.69 · Cited by 35
Association of genetic polymorphisms of eNOS with glaucoma.
Liao, Q., Wang, D., & Sun, H.-J. (2011) · Europe PMC (PubMed Central) · Cited by 35
Survey of computational haplotype determination methods for single individual
Rhee, J., Li, H., Joung, J., Hwang, K., Zhang, B., & Shin, S.-Y. (2015) · Genes & Genomics · doi:10.1007/s13258-015-0342-x · Cited by 33
Genomics of the NF-κB signaling pathway: hypothesized role in ovarian cancer
White, K. L., Rider, D. N., Kalli, K. R., Knutson, K. L., Jarvik, G. P., & Goode, E. L. (2011) · Cancer Causes & Control · doi:10.1007/s10552-011-9745-4 · Cited by 36
Bernig, T., Boersma, B. J., Howe, T. M., Welch, R., Yadavalli, S., Staats, B. J., Mechanic, L. E., Chanock, S. J., & Ambs, S. (2006) · Carcinogenesis · doi:10.1093/carcin/bgl198 · Cited by 35
Statistical Applications in Genetics and Molecular Biology
Li, Y., Berg, A. S., Chang, M. N., Ahn, P. D. K., Mauger, D. T., Liao, D., & Wu, R. (2009) · Cited by 39
Cao, X., Yin, R., Huang, F., Wu, J., & Chen, W. (2016) · International Journal of Molecular Sciences · doi:10.3390/ijms17040586 · Cited by 34
N’Diaye, A., Haile, J. K., Nilsen, K. T., Walkowiak, S., Ruan, Y., Singh, A. K., Clarke, F. R., Clarke, J. M., & Pozniak, C. J. (2018) · Frontiers in Plant Science · doi:10.3389/fpls.2018.01589 · Cited by 35
Estimating haplotype-disease associations with pooled genotype data
Zeng, D., & Lin, D. Y. (2004) · Genetic Epidemiology · doi:10.1002/gepi.20040 · Cited by 34
Fu, Z.-Y., Nakayama, T., Naoyuki, S. A. T. O., Izumi, Y., Kasamaki, Y., Shindo, A., Ohta, M., Soma, M., Aoi, N., Sato, M., et al. (2008) · Hypertension Research · doi:10.1291/hypres.31.1719 · Cited by 34
Pashmi, M., Qanbari, S., Ghorashi, S. A., Sharifi, A. R., & Simianer, H. (2009) · Journal of Animal Breeding and Genetics · doi:10.1111/j.1439-0388.2008.00783.x · Cited by 34
Genetic determinants and postorthodontic external apical root resorption in Czech children
Linhartová, P. B., Černochová, P., Kaštovský, J., Vrankova, Z. M., Sirotková, M., & Hollá, L. I. (2016) · Oral Diseases · doi:10.1111/odi.12564 · Cited by 33
Yu, K. F., Gu, C. C., Province, M. A., Xiong, C., & Rao, D. C. (2004) · Genetic Epidemiology · doi:10.1002/gepi.20022 · Cited by 33
Haplotype-based case study of human CYP4A11 gene and cerebral infarction in Japanese subject
Fu, Z.-Y., Nakayama, T., Sato, N., Izumi, Y., Kasamaki, Y., Shindo, A., Ohta, M., Soma, M., Aoi, N., Sato, M., et al. (2008) · Endocrine · doi:10.1007/s12020-008-9078-6 · Cited by 32
Da, Y. (2015) · BMC Genetics · doi:10.1186/s12863-015-0301-1 · Cited by 32
New Genetic Approaches to AD: Lessons from APOE-TOMM40 Phylogenetics
Lutz, M. W., Crenshaw, D. G., Welsh-Bohmer, K. A., Burns, D. K., & Roses, A. D. (2016) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-016-0643-8 · Cited by 33
Zhang, S., Li, H., & Shi, H. (2006) · Poultry Science · doi:10.1093/ps/85.2.178 · Cited by 32
Metadata
- Authors
- Morris, R. W., & Kaplan, N. L.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Morris, Richard W.
- Venue
- Genetic Epidemiology
- Publisher
- Wiley
- Published
- 2002-10
- Volume
- 23
- Issue
- 3
- Pages
- 221-233
- ISSN
- 0741-0395 (ISSN-L)
- 1098-2272
- OpenAlex
- W2029361834
- Cited by
- 369
- References
- 24
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 7 · 2023: 7 · 2022: 8 · 2021: 3 · 2020: 8 · 2019: 23 · 2018: 11 · 2017: 8 · 2016: 15 · 2015: 17 · 2014: 21 · 2013: 16 · 2012: 18
- FWCI
- 10.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Genetic Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- haplotype analysis, statistical power, likelihood ratio test, genetic association testing, case-control study, linkage disequilibrium, single nucleotide polymorphisms, marker alleles
- MeSH terms
- Alleles, Chromosome Mapping, Gene Frequency, Genetic Markers, Genetic Testing, Haplotypes, Humans, Reproducibility of Results, Linkage Disequilibrium, Likelihood Functions, Case-Control Studies, Risk Assessment, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Genetic Diseases, Inborn
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