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
Items 501–600 of 1,000
Pavličev, M., Norgard, E. A., Fawcett, G. L., & Cheverud, J. M. (2011) · Journal of Experimental Zoology Part B Molecular and Developmental Evolution · doi:10.1002/jez.b.21410 · Cited by 56
Mapping of genomic regions associated with net form of netblotch resistance in barley
Raman, H., Platz, G. J., Chalmers, K. J., Raman, R., Read, B. J., Barr, A. R. S., & Moody, D. B. (2003) · Australian Journal of Agricultural Research · doi:10.1071/ar03026 · Cited by 55
Quantitative trait loci for fluctuating asymmetry of discrete skeletal characters in mice
Leamy, L. J., Routman, E. J., & Cheverud, J. M. (1998) · Heredity · doi:10.1046/j.1365-2540.1998.00320.x · Cited by 55
Mihaljevic, R., Utz, H. F., & Melchinger, A. E. (2004) · Crop Science · doi:10.2135/cropsci2004.0114 · Cited by 54
MEISSNER, M., Orsini, E., Ruschhaupt, M., Melchinger, A. E., Hincha, D. K., & Heyer, A. G. (2012) · Plant Cell & Environment · doi:10.1111/pce.12054 · Cited by 54
Visualizing the Genetic Landscape of Arabidopsis Seed Performance
Joosen, R. V. L., Arends, D., Willems, L. A. J., Ligterink, W., Jansen, R. C., & Hilhorst, H. W. M. (2011) · PLANT PHYSIOLOGY · doi:10.1104/pp.111.186676 · Cited by 54
Kim, H. S., & Fay, J. C. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0708194104 · Cited by 57
Genetic analysis of rice CMS-WA fertility restoration based on QTL mapping
Tan, X. L., Vanavichit, A., Amornsilpa, S., & Trangoonrung, S. (1998) · Theoretical and Applied Genetics · doi:10.1007/s001220050983 · Cited by 54
Yi, N., & Xu, S. (2000) · Genetics · doi:10.1093/genetics/156.1.411 · Cited by 54
Detection of QTL × environment interaction in maize by a least squares interval mapping method
Sari-Gorla, M., Caliński, T., Kaczmarek, Z., & Krajewski, P. (1997) · Heredity · doi:10.1038/hdy.1997.22 · Cited by 54
Dixit, S., Grondin, A., Lee, C., Henry, A., Mitchell‐Olds, T., & Kumar, A. (2015) · BMC Genetics · doi:10.1186/s12863-015-0249-1 · Cited by 53
Evolution of mir-92a Underlies Natural Morphological Variation in Drosophila melanogaster
Arif, S., Murat, S., Almudí, I., Nunes, M. D. S., Bortolamiol-Bécet, D., McGregor, N. S., Currie, J. M. S., Hughes, H., Ronshaugen, M., Sucena, É., et al. (2013) · Current Biology · doi:10.1016/j.cub.2013.02.018 · Cited by 52
Nezhad, K. Z., Weber, W., Röder, M. S., Sharma, S., Lohwasser, U., Meyer, R. C., Saal, B., & Börner, A. (2011) · Euphytica · doi:10.1007/s10681-011-0559-y · Cited by 53
Keele, G. R., Quach, B. C., Israel, J. W., Chappell, G. A., Lewis, L., Safi, A., Simon, J. M., Cotney, P. A., Crawford, G. E., Valdar, W. S. J., et al. (2020) · PLoS Genetics · doi:10.1371/journal.pgen.1008537 · Cited by 48
Breeding for Disease Resistance in Farm Animals (2nd edition)
Axford, R. F. E., Bishop, S., Nicholas, F. W., & Owen, J. (2000) · Cited by 53
Multiple blood pressure QTL on rat chromosome 1 defined by Dahl rat congenic strains
Saad, Y. M., Garrett, M. R., & Rapp, J. P. (2001) · Physiological Genomics · doi:10.1152/physiolgenomics.2001.4.3.201 · Cited by 50
Power of different F2schemes for QTL detection in livestock
Alfonso, L., & Haley, C. (1998) · Animal Science · doi:10.1017/s135772980000878x · Cited by 53
Self-citationYi, N., & Xu, S. (1999) · Genetics · doi:10.1093/genetics/153.2.1029 · Cited by 52
Martin, M., Miedaner, T., DHILLON, B. S., Ufermann, U., Kessel, B., Ouzunova, M., Schipprack, W., & Melchinger, A. E. (2011) · Crop Science · doi:10.2135/cropsci2010.11.0664 · Cited by 52
Data-driven assessment of eQTL mapping methods
Michaelson, J. J., Alberts, R., Schughart, K., & Beyer, A. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-502 · Cited by 50
Bardol, N., Ventelon, M., Mangin, B., Jasson, S., Loywick, V., Couton, F., Derue, C., Blanchard, P., Charcosset, A., & Moreau, L. (2013) · Theoretical and Applied Genetics · doi:10.1007/s00122-013-2167-9 · Cited by 52
Huang, Y., Jestin, C., Welham, S. J., King, G. J. W., Manzanares-Dauleux, M. J., Fitt, B. D. L., & Delourme, R. (2015) · Theoretical and Applied Genetics · doi:10.1007/s00122-015-2620-z · Cited by 54
Lallias, D., Gomez‐Raya, L., Haley, C., Arzul, I., Heurtebise, S., Beaumont, A. R., Boudry, P., & Lapègue, S. (2009) · Marine Biotechnology · doi:10.1007/s10126-008-9173-y · Cited by 52
Self-citationGoto, T., & Tsudzuki, M. (2016) · The Journal of Poultry Science · doi:10.2141/jpsa.0160121 · Cited by 52
Hake, A. A., Shirasawa, K., Yadawad, A., Sukruth, M., Patil, M. P. B., Nayak, S. N., Lingaraju, S., Patil, P. V., Nadaf, H. L., Gowda, M. V. C., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0186113 · Cited by 52
Genetic mapping of a major codominant QTL associated with β-carotene accumulation in watermelon
Branham, S. E., Vexler, L., Meir, A., Tzuri, G., Frieman, Z., Levi, A., Wechter, W. P., Tadmor, Y., & Gur, A. (2017) · Molecular Breeding · doi:10.1007/s11032-017-0747-0 · Cited by 52
Verbyla, A. P., Eckermann, P., Thompson, R., & Cullis, B. R. (2003) · Australian Journal of Agricultural Research · doi:10.1071/ar02239 · Cited by 52
Brown, A., Juvik, J. A., & Pataky, J. K. (2001) · Phytopathology · doi:10.1094/phyto.2001.91.3.293 · Cited by 52
On Locating Multiple Interacting Quantitative Trait Loci in Intercross Designs
Baierl, A., Bogdan, M., Frommlet, F., & Futschik, A. (2006) · Genetics · doi:10.1534/genetics.105.048108 · Cited by 52
Bernichtein, S., Petretto, E. G., Jamieson, S., Goel, A., Aitman, T. J., Mangion, J., & Huhtaniemi, I. T. (2007) · Endocrinology · doi:10.1210/en.2007-0925 · Cited by 53
Lammert, F., Wang, D. Q. ‐., Wittenburg, H., Bouchard, G., Hillebrandt, S., Taenzler, B., Carey, M. C., & Paigen, B. J. (2002) · Hepatology · doi:10.1053/jhep.2002.36821 · Cited by 52
The quantitative genetic basis of sex ratio variation in Nasonia vitripennis: a QTL study
Pannebakker, B. A., Watt, R., Knott, S., West, S. A., & Shuker, D. M. (2010) · Journal of Evolutionary Biology · doi:10.1111/j.1420-9101.2010.02129.x · Cited by 50
Self-citationQuantitative Trait Locus Analysis of Leaf Morphology Indicates Conserved Shape Loci in Grapevine
Demmings, E. M., Williams, B. R., Lee, C., Barba, P., Yang, S. S., Hwang, C., Reisch, B. I., Chitwood, D. H., & Londo, J. P. (2019) · Frontiers in Plant Science · doi:10.3389/fpls.2019.01373 · Cited by 51
Uptmoor, R., Schrag, T. A., Stützel, H., & Esch, E. (2007) · Molecular Breeding · doi:10.1007/s11032-007-9121-y · Cited by 51
Sonstegard, T. S., Garrett, W., Ashwell, M. S., Bennett, G. L., Kappes, S. M., & Tassell, C. P. V. (2000) · Mammalian Genome · doi:10.1007/s003350010130 · Cited by 51
Toxicogenetics: Population-Based Testing of Drug and Chemical Safety in Mouse Models
Rusyn, I., Gatti, D. M., Wilshire, T., Kleeberger, S. R., & Threadgill, D. W. (2010) · Pharmacogenomics · doi:10.2217/pgs.10.100 · Cited by 51
Fine-Mapping Gene-by-Diet Interactions on Chromosome 13 in a LG/J × SM/J Murine Model of Obesity
Ehrich, T. H., Hrbek, T., Kenney‐Hunt, J. P., Pletscher, L. S., Wang, B., Semenkovich, C. F., & Cheverud, J. M. (2005) · Diabetes · doi:10.2337/diabetes.54.6.1863 · Cited by 50
Polanco, C., de Miera, L. E. S., González, A. I., Garcı́a, P., Fratini, R., Vaquero, F., Vences, F. J., & de la Vega, M. P. (2019) · PLoS ONE · doi:10.1371/journal.pone.0214409 · Cited by 51
Quantitative Trait Loci (QTLs) mapping for growth traits in the mouse: A review
Corva, P. M., & Medrano, J. F. F. (2001) · Genetics Selection Evolution · doi:10.1186/1297-9686-33-2-105 · Cited by 51
Detection of Closely Linked Multiple Quantitative Trait Loci Using a Genetic Algorithm
Nakamichi, R., Ukai, Y., & Kishino, H. (2001) · Genetics · doi:10.1093/genetics/158.1.463 · Cited by 51
Pleiotropy of quantitative trait loci for organ weights and limb bone lengths in mice
Leamy, L. J., Pomp, D., Eisen, E. J., & Cheverud, J. M. (2002) · Physiological Genomics · doi:10.1152/physiolgenomics.00018.2002 · Cited by 51
Use of randomization testing to detect multiple epistatic QTLs
Carlborg, Ö., & Andersson, L. (2002) · Genetics Research · doi:10.1017/s001667230200558x · Cited by 50
Ronin, Y. I., Kirzhner, V. M., & Korol, A. B. (1995) · Theoretical and Applied Genetics · doi:10.1007/bf00222012 · Cited by 49
Quantitative trait loci affecting growth in high growth (hg) mice
Corva, P. M., Horvat, S., & Medrano, J. F. F. (2001) · Mammalian Genome · doi:10.1007/s003350010275 · Cited by 51
Simulation of marker assisted selection for non-additive traits
Gimelfarb, A., & Lande, R. (1994) · Genetics Research · doi:10.1017/s0016672300032730 · Cited by 51
Missing markers when estimating quantitative trait loci using regression mapping
Martínez, O., & Curnow, R. N. (1994) · Heredity · doi:10.1038/hdy.1994.120 · Cited by 50
Quantitative Trait Loci Mapping in Plants: Concepts and Approaches
Sehgal, D., Singh, R., & Rajpal, V. R. (2016) · Sustainable Development and Biodiversity · doi:10.1007/978-3-319-27090-6_2 · Cited by 50
Tinker, N. A., Wight, C. P., Bekele, W. A., Yan, W., Jellen, E. N., Renhuldt, N. T., Sirijovski, N., Lux, T. M., Spannagl, M., & Mascher, M. (2022) · Communications Biology · doi:10.1038/s42003-022-03256-5 · Cited by 50
Diet‐Dependent Genetic and Genomic Imprinting Effects on Obesity in Mice
Cheverud, J. M., Lawson, H. A., Fawcett, G. L., Wang, B., Pletscher, L. S., Fox, A. R., Maxwell, T. J., Ehrich, T. H., Kenney‐Hunt, J. P., Wolf, J. B., et al. (2010) · Obesity · doi:10.1038/oby.2010.141 · Cited by 48
The Measurement of Local Variation in Shape
Márquez, E. J., Cabeen, R. P., Woods, R. P., & Houle, D. (2012) · Evolutionary Biology · doi:10.1007/s11692-012-9159-6 · Cited by 50
A search for quantitative trait loci exhibiting imprinting effects on mouse mandible size and shape
Leamy, L. J., Klingenberg, C. P., Sherratt, E., Wolf, J. B., & Cheverud, J. M. (2008) · Heredity · doi:10.1038/hdy.2008.79 · Cited by 50
Rustgi, S., Shafqat, M. N., Kumar, N., Baenziger, P. S., Ali, M. L., Dweikat, I., Campbell, B. T., & Gill, K. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0070526 · Cited by 50
Chromosomal loci influencing chronic alcohol withdrawal severity
Bergeson, S. E., Warren, R. K., Crabbe, J. C., Metten, P., Erwin, V. G., & Belknap, J. K. (2003) · Mammalian Genome · doi:10.1007/s00335-002-2254-4 · Cited by 50
Multi-interval mapping of correlated trait complexes
Korol, A. B., Ronin, Y. I., Nevo, E., & Hayes, P. M. (1998) · Heredity · doi:10.1038/sj.hdy.6882530 · Cited by 50
An Epistatic Genetic Basis for Physical Activity Traits in Mice
Leamy, L. J., Pomp, D., & Lightfoot, J. T. (2008) · Journal of Heredity · doi:10.1093/jhered/esn045 · Cited by 50
QTL analysis: further uses of ‘marker regression’
Hyne, V., & Kearsey, M. J. (1995) · Theoretical and Applied Genetics · doi:10.1007/bf00222975 · Cited by 50
Lawson, H. A., Cady, J., Partridge, C., Wolf, J. B., Semenkovich, C. F., & Cheverud, J. M. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002256 · Cited by 48
Buerstmayr, M., Alimari, A., Steiner, B., & Buerstmayr, H. (2013) · Theoretical and Applied Genetics · doi:10.1007/s00122-013-2174-x · Cited by 49
Adaptation of tree growth to elevated CO2: quantitative trait loci for biomass in Populus
Rae, A. M., Tricker, P. J., Bunn, S. M., & Taylor, G. (2007) · New Phytologist · doi:10.1111/j.1469-8137.2007.02091.x · Cited by 49
Gautier, M., Barcelona, R. R., Fritz, S., Grohs, C., Druet, T., Boichard, D., Eggen, A. A., & Meuwissen, T. H. E. (2005) · Genetics · doi:10.1534/genetics.105.046169 · Cited by 49
Flutre, T., Cunff, L. L., Fodor, Á., Launay, A., Romieu, C. G., Berger, G., Bertrand, Y., Terrier, N., Beccavin, I., Bouckenooghe, V., et al. (2022) · G3 Genes Genomes Genetics · doi:10.1093/g3journal/jkac103 · Cited by 61
Guo, Z., Tucker, D. M., Wang, D., Basten, C., Ersoz, E. S., Briggs, W. H., Lu, J., Li, M., & Gay, G. (2013) · G3 Genes Genomes Genetics · doi:10.1534/g3.112.005066 · Cited by 48
Genetics of Rapid and Extreme Size Evolution in Island Mice
GRAY, M. M., Parmenter, M. D., Hogan, C. A., Ford, I. N., Cuthbert, R., Ryan, P. G., Broman, K. W., & Payseur, B. A. (2015) · Genetics · doi:10.1534/genetics.115.177790 · Cited by 50
Genetic Predisposition Favors the Acquisition of Stable Artemisinin Resistance in Malaria Parasites
Beez, D., Sanchez, C. P., Stein, W. D., & Lanzer, M. (2010) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.00916-10 · Cited by 48
Ali, M. L., Baenziger, P. S., Ajlouni, Z. A., Campbell, B. T., Gill, K. S., Eskridge, K. M., Mujeeb‐Kazi, A., & Dweikat, I. (2011) · Crop Science · doi:10.2135/cropsci2010.06.0359 · Cited by 48
Heritability and genetic architecture of reproduction-related traits in a temperate oak species
Caignard, T., Delzon, S., Bodénès, C., Dencausse, B., & Kremer, A. (2018) · Tree Genetics & Genomes · doi:10.1007/s11295-018-1309-2 · Cited by 48
More about quantitative trait locus mapping with diallel designs
Rebaï, A., & Goffinet, B. (2000) · Genetics Research · doi:10.1017/s0016672399004358 · Cited by 48
A Major Linkage Region on Distal Chromosome 4 Confers Susceptibility to Mouse Autoimmune Gastritis
Silveira, P. A., Baxter, A. G., Cain, W. E., & van Driel, I. R. (1999) · The Journal of Immunology · doi:10.4049/jimmunol.162.9.5106 · Cited by 48
The Ecology of Hybrid IncompatibilitiesPreprint
Thompson, K. A., Brandvain, Y. J., Coughlan, J. M., Delmore, K. E., Justen, H. C., Linnen, C. R., Ortíz-Barrientos, D., Rushworth, C. A., Schneemann, H., Schumer, M. E., et al. (2023) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a041440 · Cited by 48
Fine mapping and replication of QTL in outbred chicken advanced intercross lines
Besnier, F., Wahlberg, P., Rönnegård, L., Ek, W. E., Andersson, L., Siegel, P. B., & Carlborg, Ö. (2011) · Genetics Selection Evolution · doi:10.1186/1297-9686-43-3 · Cited by 45
Keller, M. P., Paul, P. K., Rabaglia, M. E., Stapleton, D. S., Schueler, K. L., Broman, A. T., Ye, S., Leng, N., Brandon, C. J., Neto, E. C., et al. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1006466 · Cited by 43
Salgon, S., Raynal, M., Lebon, S., Baptiste, J.-M., Daunay, M., Dintinger, J., & Jourda, C. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19020357 · Cited by 47
Quantitative trait loci for directional but not fluctuating asymmetry of mandible characters in mice
Leamy, L. J., Pomp, D., Eisen, E. J., & Cheverud, J. M. (2000) · Genetics Research · doi:10.1017/s0016672300004559 · Cited by 47
Cui, Y., Kim, D., & Zhu, J. (2006) · Genetics · doi:10.1534/genetics.106.061960 · Cited by 47
Physiological and genetic control of tuber formation
Strunik, P. C., Vreugdenhil, D., van Eck, H. J., Bachem, C., & Visser, R. G. F. (1999) · Potato Research · doi:10.1007/bf02357860 · Cited by 47
Sanchez, C. P., Mayer, S., Nurhasanah, A., Stein, W. D., & Lanzer, M. (2011) · Molecular Microbiology · doi:10.1111/j.1365-2958.2011.07855.x · Cited by 46
Höglund, J., Guldbrandtsen, B., Su, G., Thomsen, B., & Lund, M. S. (2009) · Journal of Dairy Science · doi:10.3168/jds.2008-1104 · Cited by 46
Tsudzuki, M., Onitsuka, S., Akiyama, R., Iwamizu, M., Gotō, N., Nishibori, M., Takahashi, H. W., & Ishikawa, A. (2007) · Cytogenetic and Genome Research · doi:10.1159/000103190 · Cited by 46
Barrière, Y. Y., Mechin, V., Lefèvre, B., & Maltese, S. (2012) · Theoretical and Applied Genetics · doi:10.1007/s00122-012-1851-5 · Cited by 46
Genetical genomics of growth in a chicken model
Johnsson, M., Henriksen, R., Höglund, A., Fogelholm, J., Jensen, P., & Wright, D. (2018) · BMC Genomics · doi:10.1186/s12864-018-4441-3 · Cited by 48
Lyra, D. H., Virlet, N., Sadeghi‐Tehran, P., Hassall, K. L., Wingen, L. U., Orford, S., Griffiths, S., Hawkesford, M. J., & Slavov, G. T. (2020) · Journal of Experimental Botany · doi:10.1093/jxb/erz545 · Cited by 46
Pincot, D. D. A., Feldmann, M. J., Hardigan, M. A., Vachev, M. V., Henry, P. M., Gordon, T. R., Bjornson, M., Rodriguez, A., Cobo, N., Famula, R. A., et al. (2022) · Theoretical and Applied Genetics · doi:10.1007/s00122-022-04102-2 · Cited by 49
Sebastian, R. L., Kearsey, M. J., & King, G. J. W. (2002) · Theoretical and Applied Genetics · doi:10.1007/s001220100743 · Cited by 46
Hayes, B. J., Gjuvsland, A. B., & Omholt, S. W. (2006) · Heredity · doi:10.1038/sj.hdy.6800827 · Cited by 46
Principal Components Regression With Data Chosen Components and Related Methods
Hwang, J. T. G., & Nettleton, D. S. (2003) · Technometrics · doi:10.1198/004017002188618716 · Cited by 46
Detection of quantitative trait loci for body weight at 10 weeks from Philippine wild mice
Ishikawa, A., Matsuda, Y., & NAMIKAWA, T. (2000) · Mammalian Genome · doi:10.1007/s003350010145 · Cited by 46
Ruden, D. M., Chen, L., Possidente, D. R., Possidente, B. P., Rasouli, P., Wang, L., Lu, X., Garfinkel, M. D., Hirsch, H. V. B., & Page, G. P. (2009) · NeuroToxicology · doi:10.1016/j.neuro.2009.08.011 · Cited by 45
Advances in Genomics-Based Breeding of Barley: Molecular Tools and Genomic Databases
Riaz, A., Kanwal, F., Börner, A., Pillen, K., Dai, F., & Alqudah, A. M. (2021) · Agronomy · doi:10.3390/agronomy11050894 · Cited by 45
Skiba, B., Ford, R., & Pang, E. C. K. (2004) · Theoretical and Applied Genetics · doi:10.1007/s00122-004-1812-8 · Cited by 45
Ivandic, B., Utz, H. F., Kaczmarek, P., Aherrahrou, Z., Axtner, S. B., KLEPSCH, C., Lusis, A. J., & Katus, H. A. (2001) · Physiological Genomics · doi:10.1152/physiolgenomics.2001.6.3.137 · Cited by 45
Friesen, T. L., & Faris, J. D. (2011) · Methods in molecular biology · doi:10.1007/978-1-61779-501-5_12 · Cited by 45
Molecular marker assisted genetic analysis of head shattering in six-rowed barley
Kandemi̇r, N., Kudrna, D. A., Ullrich, S. E., & Kleinhofs, A. (2000) · Theoretical and Applied Genetics · doi:10.1007/s001220051470 · Cited by 45
Genetic mapping of modifier loci affecting malignant hypertension in TGRmRen2 rats
Kantachuvesiri, S., Haley, C., Fleming, S., Kurian, K. M., Whitworth, C. E., Wenham, P. R., Kotelevtsev, Y. V., & Mullins, J. J. (1999) · Kidney International · doi:10.1046/j.1523-1755.1999.00571.x · Cited by 45
Self-citationNagata, K., Shimizu, H., & Terao, T. (2002) · Ikushugaku zasshi · doi:10.1270/jsbbs.52.275 · Cited by 45
Multiple-Trait Quantitative Trait Loci Analysis Using a Large Mouse Sibship
Jackson, A., Fornés, A., Gałecki, A. T., Miller, R. A., & Burke, D. (1999) · Genetics · doi:10.1093/genetics/151.2.785 · Cited by 45
Eaves, L. J. (1994) · Heredity · doi:10.1038/hdy.1994.25 · Cited by 45
Quantitative Trait Locus Mapping of Loci Influencing Elongation Factor 1α Content in Maize Endosperm
Wang, X., Woo, Y., Kim, C. S., & Larkins, B. A. (2001) · PLANT PHYSIOLOGY · doi:10.1104/pp.125.3.1271 · Cited by 45
Arif, S., Hilbrant, M., Hopfen, C., Almudí, I., Nunes, M. D. S., Posnien, N., Kuncheria, L., Tanaka, K. M., Mitterœcker, P., Schlötterer, C., et al. (2013) · Evolution & Development · doi:10.1111/ede.12027 · Cited by 42
Ozaki, A., Yoshida, K., Fuji, K., Kubota, S., Kai, W., Aoki, J.-Y., Kawabata, Y., Suzuki, J., Akita, K., Koyama, T., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064987 · Cited by 44
Nalam, V. J., Vales, M. I., Watson, C. J. W., Johnson, E. B., & Riera‐Lizarazu, O. (2007) · Theoretical and Applied Genetics · doi:10.1007/s00122-007-0653-7 · Cited by 44
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