The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
A simple regression method for mapping quantitative trait loci in line crosses using flanking markers
Open accessAbstract
The use of flanking marker methods has proved to be a powerful tool for the mapping of quantitative trait loci (QTL) in the segregating generations derived from crosses between inbred lines. Methods to analyse these data, based on maximum-likelihood, have been developed and provide good estimates of QTL effects in some situations. Maximum-likelihood methods are, however, relatively complex and can be computationally slow. In this paper we develop methods for mapping QTL based on multiple regression which can be applied using any general statistical package. We use the example of mapping in an F(2) population and show that these regression methods produce very similar results to those obtained using maximum likelihood. The relative simplicity of the regression methods means that models with more than a single QTL can be explored and we give examples of two lined loci and of two interacting loci. Other models, for example with more than two QTL, with environmental fixed effects, with between family variance or for threshold traits, could be fitted in a similar way. The ease, speed of application and generality of regression methods for flanking marker analysis, and the good estimates they obtain, suggest that they should provide the method of choice for the analysis of QTL mapping data from inbred line crosses.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The cited source says what the claim attributes to it.
In the citing paper
“For example, within the framework of factorial regression models, markers can serve as explanatory variables, which is at the core of regression–based approaches for QTL mapping (Haley and Knott, 1992; Martínez and Curnow, 1992).”
From The statistical analysis of multi-environment data: modeling genotype-by-environment interaction and its genetic basis (2013) · cites this paper as Haley and Knott, 1992
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(2005) · Springer eBooks · doi:10.1007/0-387-27255-0_9 · Cited by 20,333
Draper, N. R., & Smith, H. (2005) · Technometrics · doi:10.1198/tech.2005.s303 · Cited by 17,993
Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.
Lander, E. S., & Botstein, D. (1989) · Genetics · doi:10.1093/genetics/121.1.185 · Cited by 5,236
Recovery of Inter-Block Information when Block Sizes are Unequal
Patterson, H. D., & Thompson, R. (1971) · Biometrika · doi:10.1093/biomet/58.3.545 · Cited by 4,073
The Large-Sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses
Wilks, S. S. (1938) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177732360 · Cited by 3,729
Bain, L. J., Draper, N. R., & Smith, H. (1967) · Technometrics · doi:10.2307/1266329 · Cited by 3,432
McCullagh, P. J., & Nelder, J. A. (1983) · Springer eBooks · doi:10.1007/978-1-4899-3244-0 · Cited by 1,980
Mallows, C. L., Draper, N. R., & Smith, H. (1967) · Journal of the American Statistical Association · doi:10.2307/2283698 · Cited by 1,738
Sequential tests for the detection of linkage.
Morton, N. E. (1955) · PubMed · Cited by 1,590
Mather, K., & Jinks, J. L. (1982) · doi:10.1007/978-1-4899-3406-2 · Cited by 963
Research works printed but not linked: 1
- GENSTAT 5 Committee, 1989. Genstat 5 Reference Manual, Clarendon Press, Oxford.
Cited by
Sorted by citations
Empirical threshold values for quantitative trait mapping.
Churchill, G. A., & Doerge, R. W. (1994) · Genetics · doi:10.1093/genetics/138.3.963 · Cited by 4,935
R/qtl: QTL mapping in experimental crosses
Broman, K. W., Wu, H., Sen, Ś., & Churchill, G. A. (2003) · Bioinformatics · doi:10.1093/bioinformatics/btg112 · Cited by 3,481
Genetic Dissection of Complex Traits
Lander, E. S., & Schork, N. J. (1994) · Science · doi:10.1126/science.8091226 · Cited by 3,425
Precision mapping of quantitative trait loci.
Zeng, Z. B. (1994) · Genetics · doi:10.1093/genetics/136.4.1457 · Cited by 3,182
Map Manager QTX, cross-platform software for genetic mapping
Manly, K. F., Cudmore, R. H., & Meer, J. M. (2001) · Mammalian Genome · doi:10.1007/s00335-001-1016-3 · Cited by 1,219
Permutation Tests for Multiple Loci Affecting a Quantitative Character
Doerge, R. W., & Churchill, G. A. (1996) · Genetics · doi:10.1093/genetics/142.1.285 · Cited by 1,126
The Genetic Architecture of Quantitative Traits
Mackay, T. F. C. (2001) · Annual Review of Genetics · doi:10.1146/annurev.genet.35.102401.090633 · Cited by 1,106
Theoretical basis for separation of multiple linked gene effects in mapping quantitative trait loci.
Zeng, Z. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.23.10972 · Cited by 1,089
High resolution of quantitative traits into multiple loci via interval mapping.
Jansen, R. C., & Stam, P. (1994) · Genetics · doi:10.1093/genetics/136.4.1447 · Cited by 1,046
An integrative genomics approach to infer causal associations between gene expression and disease
Schadt, E. E., Lamb, J., Yang, X., Zhu, J., Edwards, S., GuhaThakurta, D., Sieberts, S. K., Monks, S., Reitman, M., Zhang, C., et al. (2005) · Nature Genetics · doi:10.1038/ng1589 · Cited by 1,043
Multiple Interval Mapping for Quantitative Trait Loci
Kao, C.-H., Zeng, Z., & Teasdale, R. D. (1999) · Genetics · doi:10.1093/genetics/152.3.1203 · Cited by 949
Molecular Markers and Selection for Complex Traits in Plants: Learning from the Last 20 Years
Bernardo, R. (2008) · Crop Science · doi:10.2135/cropsci2008.03.0131 · Cited by 949
Epistasis: too often neglected in complex trait studies?
Carlborg, Ö., & Haley, C. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1407 · Cited by 946
Self-citationVariations in DNA elucidate molecular networks that cause disease
Chen, Y., Zhu, J., Lum, P. Y., Yang, X., Pinto, S., MacNeil, D. J., Zhang, C., Lamb, J., Edwards, S., Sieberts, S. K., et al. (2008) · Nature · doi:10.1038/nature06757 · Cited by 887
Interval mapping of multiple quantitative trait loci.
Jansen, R. C. (1993) · Genetics · doi:10.1093/genetics/135.1.205 · Cited by 854
Multiple trait analysis of genetic mapping for quantitative trait loci.
Jiang, C., & Zeng, Z. (1995) · Genetics · doi:10.1093/genetics/140.3.1111 · Cited by 831
A Modified Algorithm for the Improvement of Composite Interval Mapping
Li, H., Ye, G., & Wang, J. (2006) · Genetics · doi:10.1534/genetics.106.066811 · Cited by 797
Genetic Mapping of Quantitative Trait Loci for Growth and Fatness in Pigs
Andersson, L., Haley, C., Ellegren, H., Knott, S., Johansson, M., Andersson, K., Andersson-Eklund, L., Edfors‐Lilja, I., Fredholm, M., Hansson, I., et al. (1994) · Science · doi:10.1126/science.8134840 · Cited by 710
Self-citationMapping quantitative trait loci in crosses between outbred lines using least squares.
Haley, C., Knott, S., & Elsen, J. M. J. M. (1994) · Genetics · doi:10.1093/genetics/136.3.1195 · Cited by 699
Self-citationZaykin, D. V., Westfall, P. H., Young, S. S., Karnoub, M. A., Wagner, M. J., & Ehm, M. G. (2002) · Human Heredity · doi:10.1159/000057986 · Cited by 655
Arabidopsis Map-Based Cloning in the Post-Genome Era
Jander, G., Norris, S. R., Rounsley, S. D., Bush, D. F., Levin, I. M., & Last, R. L. (2002) · PLANT PHYSIOLOGY · doi:10.1104/pp.003533 · Cited by 653
Takeuchi, F., McGinnis, R. E., Bourgeois, S., Barnes, C. P., Eriksson, N., Soranzo, N., Whittaker, P., Ranganath, V., Kumanduri, V., McLaren, W. M., et al. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000433 · Cited by 639
Kover, P. X., Valdar, W. S. J., Trakalo, J., Scarcelli, N., Ehrenreich, I. M., Purugganan, M. D., Durrant, C., & Mott, R. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000551 · Cited by 635
A Statistical Framework for Quantitative Trait Mapping
Sen, Ś., & Churchill, G. A. (2001) · Genetics · doi:10.1093/genetics/159.1.371 · Cited by 611
Markov Chain Monte Carlo Segregation and Linkage Analysis for Oligogenic Models
Heath, S. C. (1997) · The American Journal of Human Genetics · doi:10.1086/515506 · Cited by 594
QGENE: software for marker-based genomic analysis and breeding
Nelson, J. C. (1997) · Molecular Breeding · doi:10.1023/a:1009604312050 · Cited by 594
Advanced intercross lines, an experimental population for fine genetic mapping.
Darvasi, A., & Soller, M. (1995) · Genetics · doi:10.1093/genetics/141.3.1199 · Cited by 579
Confidence Intervals in QTL Mapping by Bootstrapping
Visscher, P. M., Thompson, R., & Haley, C. (1996) · Genetics · doi:10.1093/genetics/143.2.1013 · Cited by 568
Self-citationWang, D. L., Zhu, J., Li, Z. K. L., & Paterson, A. H. (1999) · Theoretical and Applied Genetics · doi:10.1007/s001220051331 · Cited by 559
Experimental strategies for the genetic dissection of complex traits in animal models
Darvasi, A. (1998) · Nature Genetics · doi:10.1038/ng0198-19 · Cited by 540
In Posidonia oceanica cadmium induces changes in DNA methylation and chromatin patterning
Greco, M., Chiappetta, A. A. C., Bruno, L., & Bitonti, M. B. (2011) · Journal of Experimental Botany · doi:10.1093/jxb/err313 · Cited by 555
Malosetti, M., Ribaut, J.-M., & van Eeuwijk, F. A. (2013) · Frontiers in Physiology · doi:10.3389/fphys.2013.00044 · Cited by 539
“…within the framework of factorial regression models, markers can serve as explanatory variables, which is at the core of regression–based approaches for Frontiers in Physiology | Plant Physiology March 2013 | Volume 4 | Article 44 | 10 QTL mapping (Haley and Knott, 1992; Martínez and Curnow, 1992).”
MethodQuantitative Trait Locus for Reading Disability on Chromosome 6
Cardon, L. R., Smith, S. D., Fulker, D. W., Kimberling, W. J., Pennington, B. F., & DeFries, J. C. (1994) · Science · doi:10.1126/science.7939663 · Cited by 533
Melchinger, A. E., Utz, H. F., & Schön, C. (1998) · Genetics · doi:10.1093/genetics/149.1.383 · Cited by 532
QTL Express: mapping quantitative trait loci in simple and complex pedigrees
Seaton, G. G. R., Haley, C., Knott, S., Kearsey, M. J., & Visscher, P. M. (2002) · Bioinformatics · doi:10.1093/bioinformatics/18.2.339 · Cited by 501
Self-citationQTL analysis in plants; where are we now?
Kearsey, M. J., & Farquhar, A. G. L. (1998) · Heredity · doi:10.1046/j.1365-2540.1998.00500.x · Cited by 492
Darvasi, A., Weinreb, A., Minke, V., Weller, J. I., & Soller, M. (1993) · Genetics · doi:10.1093/genetics/134.3.943 · Cited by 489
High-Resolution Genetic Mapping Using the Mouse Diversity Outbred Population
Svenson, K. L., Gatti, D. M., Valdar, W. S. J., Welsh, C. E., Cheng, R., Chesler, E. J., Palmer, A. A., McMillan, L., & Churchill, G. A. (2012) · Genetics · doi:10.1534/genetics.111.132597 · Cited by 474
Theoretical Basis of the Beavis Effect
Xu, S. (2003) · Genetics · doi:10.1093/genetics/165.4.2259 · Cited by 464
Broman, K. W., Gatti, D. M., Šimeček, P., Furlotte, N. A., Prins, P., Sen, Ś., Yandell, B. S., & Churchill, G. A. (2018) · Genetics · doi:10.1534/genetics.118.301595 · Cited by 457
Overview of QTL mapping software and introduction to Map Manager QT
Manly, K. F., & Olson, J. M. (1999) · Mammalian Genome · doi:10.1007/s003359900997 · Cited by 443
R/qtl: high-throughput multiple QTL mapping
Arends, D., Prins, P., Jansen, R. C., & Broman, K. W. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq565 · Cited by 444
Reymond, M., Muller, B., Leonardi, A., Charcosset, A., & Tardieu, F. (2003) · Plant Physiology · doi:10.1104/pp.013839 · Cited by 428
Hayes, P. M., Liu, B. H., Knapp, S. J., Chen, F., Jones, B. L., Blake, T. K., Franckowiak, J. D., Rasmusson, D. C., Sorrells, M. E., Ullrich, S. E., et al. (1993) · Theoretical and Applied Genetics · doi:10.1007/bf01184929 · Cited by 424
Genetic Analysis of Inherited Hypertension in the Rat
Rapp, J. P. (2000) · Physiological Reviews · doi:10.1152/physrev.2000.80.1.135 · Cited by 421
A simple correction for multiple comparisons in interval mapping genome scans
Cheverud, J. M. (2001) · Heredity · doi:10.1046/j.1365-2540.2001.00901.x · Cited by 421
Methods for multiple-marker mapping of quantitative trait loci in half-sib populations
Knott, S., Elsen, J. M. J. M., & Haley, C. (1996) · Theoretical and Applied Genetics · doi:10.1007/bf00225729 · Cited by 425
Self-citationGenetic Animal Models of Alcohol and Drug Abuse
Crabbe, J. C., Belknap, J. K., & Buck, K. J. (1994) · Science · doi:10.1126/science.8209252 · Cited by 418
Yang, J., Hu, C., Hu, H., Yu, R., Xia, Z., Ye, X., & Zhu, J. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btm494 · Cited by 412
Knott, S., Marklund, L., Haley, C., Andersson, K., Davies, W. A., Ellegren, H., Fredholm, M., Hansson, I., Høyheim, B., Lundström, K., et al. (1998) · Genetics · doi:10.1093/genetics/149.2.1069 · Cited by 407
Self-citationQuantitative Trait Loci Analysis Using the False Discovery Rate
Benjamini, Y., & Yekutieli, D. (2005) · Genetics · doi:10.1534/genetics.104.036699 · Cited by 402
QGene 4.0, an extensible Java QTL-analysis platform
Joehanes, R., & Nelson, J. C. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn523 · Cited by 382
Genetic Markers, Map Construction, and Their Application in Plant Breeding
Staub, J. E., Serquén, F. C., & Gupta, M. (1996) · HortScience · doi:10.21273/hortsci.31.5.729 · Cited by 379
West, M. A. L., Kim, K., Kliebenstein, D. J., van Leeuwen, H., Michelmore, R. W., Doerge, R. W., & Clair, D. A. S. (2006) · Genetics · doi:10.1534/genetics.106.064972 · Cited by 379
Li, H., Ribaut, J., Li, Z., & Wang, J. (2007) · Theoretical and Applied Genetics · doi:10.1007/s00122-007-0663-5 · Cited by 373
A major gene affecting age-related hearing loss in C57BL/6J mice
Johnson, K. R., Erway, L. C., Cook, S. A., Willott, J. F., & Zheng, Q. Y. (1997) · Hearing Research · doi:10.1016/s0378-5955(97)00155-x · Cited by 365
Marker-Assisted Introgression of Quantitative Trait Loci
Charcosset, A. (1997) · Genetics · doi:10.1093/genetics/147.3.1469 · Cited by 365
Ribaut, J. M., & Ragot, M. (2006) · Journal of Experimental Botany · doi:10.1093/jxb/erl214 · Cited by 365
Utz, H. F., Melchinger, A. E., & Schön, C. (2000) · Genetics · doi:10.1093/genetics/154.4.1839 · Cited by 359
Quantitative Trait Loci for Component Physiological Traits Determining Salt Tolerance in Rice
Koyama, M. L., Levesley, A., Koebner, R. M. D., Flowers, T. J., & Yeo, A. R. (2001) · PLANT PHYSIOLOGY · doi:10.1104/pp.125.1.406 · Cited by 356
Understanding and using quantitative genetic variation
Hill, W. G. (2009) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2009.0203 · Cited by 372
Molecular mapping of wheat: major genes and rearrangements in homoeologous groups 4, 5, and 7.
Nelson, J. C., Sorrells, M. E., Deynze, A. E. V., Lü, Y., Atkinson, M., Bernard, M., Leroy, P., Faris, J. D., & Anderson, J. A. (1995) · Genetics · doi:10.1093/genetics/141.2.721 · Cited by 359
A Model Selection Approach for the Identification of Quantitative Trait Loci in Experimental Crosses
Broman, K. W., & Speed, T. P. (2002) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/1467-9868.00354 · Cited by 352
Martínez, O., & Curnow, R. N. (1992) · Theoretical and Applied Genetics · doi:10.1007/bf00222330 · Cited by 355
Tuberosa, R., Sanguineti, M. C., Landi, P., Giuliani, M. M., Salvi, S., & Conti, S. (2002) · Plant Molecular Biology · doi:10.1023/a:1014897607670 · Cited by 354
DNA Markers and Plant Breeding Programs
Lee, M. (1995) · Advances in agronomy · doi:10.1016/s0065-2113(08)60542-8 · Cited by 343
Bayesian LASSO for Quantitative Trait Loci Mapping
Yi, N., & Xu, S. (2008) · Genetics · doi:10.1534/genetics.107.085589 · Cited by 344
Estimating the genetic architecture of quantitative traits
Zeng, Z., Kao, C.-H., & Basten, C. (1999) · Genetics Research · doi:10.1017/s0016672399004255 · Cited by 329
The Genetics and Evolution of Fluctuating Asymmetry
Leamy, L. J., & Klingenberg, C. P. (2005) · Annual Review of Ecology Evolution and Systematics · doi:10.1146/annurev.ecolsys.36.102003.152640 · Cited by 331
Ma, C., Casella, G., & Wu, R. (2002) · Genetics · doi:10.1093/genetics/161.4.1751 · Cited by 318
Mapping of QTLs associated with cold tolerance during the vegetative stage in rice
Andaya, V. C. (2003) · Journal of Experimental Botany · doi:10.1093/jxb/erg243 · Cited by 324
Mapping the genetic architecture of complex traits in experimental populations
Yang, J., Zhu, J., & Williams, R. W. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm143 · Cited by 306
QTLs for cell-membrane stability mapped in rice (Oryza sativa L.) under drought stress
Tripathy, J. N., Zhang, J., Robin, S., Nguyen, T. T., & Nguyen, H. T. (2000) · Theoretical and Applied Genetics · doi:10.1007/s001220051424 · Cited by 302
Statistical Methods for Mapping Quantitative Trait Loci From a Dense Set of Markers
Dupuis, J., & Siegmund, D. (1999) · Genetics · doi:10.1093/genetics/151.1.373 · Cited by 299
Recent advances of genome mapping and marker‐assisted selection in aquaculture
Yue, G. H. (2013) · Fish and Fisheries · doi:10.1111/faf.12020 · Cited by 293
Bayesian Mapping of Multiple Quantitative Trait Loci From Incomplete Inbred Line Cross Data
Sillanpää, M. J., & Arjas, E. (1998) · Genetics · doi:10.1093/genetics/148.3.1373 · Cited by 285
Mapping Yr28 and Other Genes for Resistance to Stripe Rust in Wheat
Singh, R. P., Nelson, J. C., & Sorrells, M. E. (2000) · Crop Science · doi:10.2135/cropsci2000.4041148x · Cited by 283
Genetic mapping of quantitative trait loci in crops
XU, Y. C., Li, P., Yang, Z., & Xu, C. (2016) · The Crop Journal · doi:10.1016/j.cj.2016.06.003 · Cited by 303
MAGIC populations in crops: current status and future prospects
Huang, B. E., VERBYLA, K. L., Verbyla, A. P., Raghavan, C., Singh, V. K., Gaur, P. M., Leung, H., Varshney, R. K., & Cavanagh, C. R. (2015) · Theoretical and Applied Genetics · doi:10.1007/s00122-015-2506-0 · Cited by 277
Mapping of QTLs for phosphorus-deficiency tolerance in rice (Oryza sativa L.)
Wissuwa, M., Yano, M., & Ae, N. (1998) · Theoretical and Applied Genetics · doi:10.1007/s001220050955 · Cited by 276
A Bayesian Approach to Detect Quantitative Trait Loci Using Markov Chain Monte Carlo
Satagopan, J. M., Yandell, B. S., Newton, M. A., & Osborn, T. C. (1996) · Genetics · doi:10.1093/genetics/144.2.805 · Cited by 271
LOD significance thresholds for QTL analysis in experimental populations of diploid species
van Ooijen, J. W. (1999) · Heredity · doi:10.1038/sj.hdy.6886230 · Cited by 279
Wissuwa, M., Wegner, J., Ae, N., & Yano, M. (2002) · Theoretical and Applied Genetics · doi:10.1007/s00122-002-1051-9 · Cited by 274
WebQTL: Web-Based Complex Trait Analysis
Wang, J., Williams, R. W., & Manly, K. F. (2003) · Neuroinformatics · doi:10.1385/ni:1:4:299 · Cited by 274
Blanc, G., Charcosset, A., Mangin, B., Gallais, A., & Moreau, L. (2006) · Theoretical and Applied Genetics · doi:10.1007/s00122-006-0287-1 · Cited by 270
Schön, C., Utz, H. F., Groh, S., Truberg, B., Openshaw, S., & Melchinger, A. E. (2004) · Genetics · doi:10.1534/genetics.167.1.485 · Cited by 268
Boer, M. P., Wright, D., Feng, L., Podlich, D. W., Luo, L., Cooper, M., & van Eeuwijk, F. A. (2007) · Genetics · doi:10.1534/genetics.107.071068 · Cited by 264
Mapping quantitative trait loci in plants: uses and caveats for evolutionary biology
Mauricio, R. (2001) · Nature Reviews Genetics · doi:10.1038/35072085 · Cited by 267
Genetic mapping and QTL analysis of fiber-related traits in cotton (Gossypium)
Mei, M., Syed, N. H., Gao, W., Thaxton, P. M., Smith, C. W., Stelly, D. M., & Chen, Z. J. (2003) · Theoretical and Applied Genetics · doi:10.1007/s00122-003-1433-7 · Cited by 262
Li, Z., Pinson, S. R. M., Stansel, J. W., & Park, W. D. (1995) · Theoretical and Applied Genetics · doi:10.1007/bf00220902 · Cited by 261
Advanced backcross QTL analysis in barley (Hordeum vulgare L.)
Pillen, K., Zacharias, A., & Léon, J. (2003) · Theoretical and Applied Genetics · doi:10.1007/s00122-003-1253-9 · Cited by 260
Fan, S., Bielenberg, D. G., Zhebentyayeva, T. N., Reighard, G. L., Okie, W. R., Holland, D., & Abbott, A. G. (2009) · New Phytologist · doi:10.1111/j.1469-8137.2009.03119.x · Cited by 258
Li, Z., & Sillanpää, M. J. (2012) · Theoretical and Applied Genetics · doi:10.1007/s00122-012-1892-9 · Cited by 253
Complement factor 5 is a quantitative trait gene that modifies liver fibrogenesis in mice and humans
Hillebrandt, S., Wasmuth, H. E., Weiskirchen, R., Hellerbrand, C., Keppeler, H., Werth, A., Schirin-Sokhan, R., Wilkens, G., Geier, A., Lorenzen, J., et al. (2005) · Nature Genetics · doi:10.1038/ng1599 · Cited by 256
Uzunova, M., Ecke, W., Weißleder, K., & Röbbelen, G. (1995) · Theoretical and Applied Genetics · doi:10.1007/bf00222202 · Cited by 257
Klingenberg, C. P., Leamy, L. J., & Cheverud, J. M. (2004) · Genetics · doi:10.1534/genetics.166.4.1909 · Cited by 249
Brondani, C., Rangel, P. L., Brondani, R., & Ferreira, M. E. (2002) · Theoretical and Applied Genetics · doi:10.1007/s00122-002-0869-5 · Cited by 248
Ashwell, M. S., Heyen, D. W., Sonstegard, T. S., Tassell, C. P. V., Da, Y., VanRaden, P. M., Ron, M., Weller, J. I., & Lewin, H. A. (2004) · Journal of Dairy Science · doi:10.3168/jds.s0022-0302(04)73186-0 · Cited by 246
Multitrait Least Squares for Quantitative Trait Loci Detection
Knott, S., & Haley, C. (2000) · Genetics · doi:10.1093/genetics/156.2.899 · Cited by 246
Self-citationControlling the type I and type II errors in mapping quantitative trait loci.
Jansen, R. C. (1994) · Genetics · doi:10.1093/genetics/138.3.871 · Cited by 243
Metadata
- Authors
- Haley, C. S., & Knott, S. A.
- Affiliations
- University of Edinburgh (GB)
- ORCID
- Venue
- Heredity
- Published
- 1992-10
- Volume
- 69
- Issue
- 4
- Pages
- 315-324
- ISSN
- 0018-067X (ISSN-L)
- 1365-2540
- OpenAlex
- W2034608799
- Cited by
- 1,991
- References
- 19
- Citations by year
- 2026: 29 · 2025: 32 · 2024: 42 · 2023: 28 · 2022: 43 · 2021: 74 · 2020: 55 · 2019: 56 · 2018: 59 · 2017: 40 · 2016: 45 · 2015: 70 · 2014: 53 · 2013: 81 · 2012: 109
- FWCI
- 14.13
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Heredity (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Ministry of Agriculture, Forestry and Fisheries
- Topics
- 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
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- quantitative trait loci, QTL mapping, flanking markers, multiple linear regression, F2 population, maximum likelihood comparison, gene-gene interaction, threshold traits
- MeSH terms
- Animals, Chromosome Mapping, Computer Simulation, Crosses, Genetic, Genetic Markers, Inbreeding, Regression Analysis, Models, Statistical, Likelihood Functions, 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