A simple correction for multiple comparisons in interval mapping genome scans
Open accessAbstract
Several approaches have been proposed to correct point-wise significance thresholds used in interval-mapping genome scans. A method for significance threshold correction based on the Bonferroni test is presented. This test involves calculating the effective number of independent comparisons performed in a genome scan from the variance of the eigenvalues of the observed marker correlation matrix. The more highly correlated the markers, the higher the variance of the eigenvalues and the lower the number of independent tests performed on a chromosome. This approach was evaluated by mapping 1000 normally distributed phenotypes along chromosomes of varying length and marker density in a population size of 500. Experiment-wise significance thresholds obtained from the simulation are compared to those calculated using the Bonferroni criterion and the newly developed measure of the effective number of independent tests in a genome scan. The Bonferroni calculation produced significance thresholds very similar to those obtained by simulation. The threshold levels for both Bonferroni and simulation analysis depended strongly on the marker density and size of chromosomes. There was a slight bias of about 1% in the thresholds obtained at the 5% and 10% point-wise significance levels. The method introduced here provides a relatively simple correction for multiple comparisons that can be easily calculated using standard statistics packages.
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
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?
Modifications to the Bonferroni correction in the context of QTL mapping have been proposed by Cheverud (2001), and further modifications proposed by Li and Ji (2005).
“Modifications to the Bonferroni correction in the context of QTL mapping have been proposed by Cheverud (2001), and further modifications proposed by Li and Ji (2005).”
From The statistical analysis of multi-environment data: modeling genotype-by-environment interaction and its genetic basis (2013) · cites this paper as Cheverud (2001)
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Genetics and Analysis of Quantitative Traits
(2002) · Journal of Animal Breeding and Genetics · doi:10.1046/j.1439-0388.2002.00356.x · Cited by 6,172 · see citing works
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 · see citing works
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 5,196 · see citing works
Empirical threshold values for quantitative trait mapping.
Churchill, G. A., & Doerge, R. W. (1994) · Genetics · doi:10.1093/genetics/138.3.963 · Cited by 4,950 · see citing works
Precision mapping of quantitative trait loci.
Zeng, Z. B. (1994) · Genetics · doi:10.1093/genetics/136.4.1457 · Cited by 3,182 · see citing works
Weir, B. S. (1997) · Biometrics · doi:10.2307/2533134 · Cited by 2,263 · see citing works
Haley, C. S., & Knott, S. A. (1992) · Heredity · doi:10.1038/hdy.1992.131 · Cited by 1,991 · see citing works
Genetic dissection of complex traits
Witte, J., Elston, R., & Schork, N. (1996) · Nature Genetics · doi:10.1038/ng0496-355 · Cited by 1,883 · see citing works
Hill, W. G. (1996) · Genetics Research · doi:10.1017/s0016672300034121 · Cited by 921 · see citing works
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 · see citing works
Cheverud, J. M., Rutledge, J. J., & Atchley, W. R. (1983) · Evolution · doi:10.1111/j.1558-5646.1983.tb05619.x · Cited by 297 · see citing works
Self-citationMethods for the Comparative Analysis of Variation Patterns
Cheverud, J. M., Wagner, G. P., & Dow, M. M. (1989) · Systematic Zoology · doi:10.2307/2992282 · Cited by 296 · see citing works
Self-citationWagner, G. P. (1984) · Journal of Mathematical Biology · doi:10.1007/bf00275224 · Cited by 269 · see citing works
Cheverud, J. M. (1996) · Journal of Evolutionary Biology · doi:10.1046/j.1420-9101.1996.9010005.x · Cited by 222 · see citing works
Self-citationGenetic architecture of adiposity in the cross of LG/J and SM/J inbred mice
Cheverud, J. M., Vaughn, T. T., Pletscher, L. S., Peripato, A. C., Adams, E. S., Erikson, C. F., & King‐Ellison, K. (2001) · Mammalian Genome · doi:10.1007/s003350010218 · Cited by 146 · see citing works
Self-citationApproximate thresholds of interval mapping tests for QTL detection.
Rebaï, A., Goffinet, B., & Mangin, B. (1994) · Genetics · doi:10.1093/genetics/138.1.235 · Cited by 128 · see citing works
A comparative study of morphological integration in Apis mellifera (Insecta, Hymenoptera)
Wagner, G. P. (2009) · Journal of Zoological Systematics & Evolutionary Research · doi:10.1111/j.1439-0469.1990.tb00364.x · Cited by 104 · see citing works
A COMPARATIVE ANALYSIS OF MORPHOLOGICAL VARIATION PATTERNS IN THE PAPIONINS
Cheverud, J. M. (1989) · Evolution · doi:10.1111/j.1558-5646.1989.tb02623.x · Cited by 101 · see citing works
Self-citationDarvasi, A., & Soller, M. (1994) · Theoretical and Applied Genetics · doi:10.1007/bf00225166 · Cited by 84 · see citing works
Genetic dissection of complex traits
Lander, E. S. (1996) · Nature Genetics · doi:10.1038/ng0496-357 · Cited by 70 · see citing works
Genetic dissection of complex traits
Curtis, D. (1996) · Nature Genetics · doi:10.1038/ng0496-356 · Cited by 54 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Nyholt, D. R. (2004) · The American Journal of Human Genetics · doi:10.1086/383251 · Cited by 1,699 · see citing works
Adjusting multiple testing in multilocus analyses using the eigenvalues of a correlation matrix
Li, J., & Ji, L. (2005) · Heredity · doi:10.1038/sj.hdy.6800717 · Cited by 1,458 · see citing works
A Groupwise Association Test for Rare Mutations Using a Weighted Sum Statistic
Madsen, B. E., & Browning, S. R. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000384 · Cited by 1,113 · see citing works
Implementing false discovery rate control: increasing your power
Verhoeven, K. J. F., Simonsen, K. L., & McIntyre, L. M. (2005) · Oikos · doi:10.1111/j.0030-1299.2005.13727.x · Cited by 964 · see citing works
Li, M.-X., Yeung, J. M. Y., Cherny, S. S., & Sham, P. C. (2012) · Human Genetics · doi:10.1007/s00439-011-1118-2 · Cited by 962 · see citing works
Gao, X., Starmer, J., & Martin, E. R. (2008) · Genetic Epidemiology · doi:10.1002/gepi.20310 · Cited by 849 · see citing works
Powerful SNP-Set Analysis for Case-Control Genome-wide Association Studies
Wu, M. C., Kraft, P., Epstein, M. P., Taylor, D. M., Chanock, S. J., Hunter, D. J., & Lin, X. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.05.002 · Cited by 589 · see citing works
Testing for an Unusual Distribution of Rare Variants
Neale, B. M., Rivas, M. A., Voight, B. F., Altshuler, D., Devlin, B., Orho‐Melander, M., Kathiresan, S., Purcell, S., Roeder, K., & Daly, M. J. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1001322 · Cited by 583 · see citing works
Escaping the Bonferroni iron claw in ecological studies
García, L. V. (2004) · Oikos · doi:10.1111/j.0030-1299.2004.13046.x · Cited by 552 · see citing works
Malosetti, M., Ribaut, J.-M., & van Eeuwijk, F. A. (2013) · Frontiers in Physiology · doi:10.3389/fphys.2013.00044 · Cited by 539 · see citing works
“Modifications to the Bonferroni correction in the context of QTL mapping have been proposed by Cheverud (2001), and further modifications proposed by Li and Ji (2005).”
MethodThe largest prospective warfarin-treated cohort supports genetic forecasting
Wadelius, M., Chen, L. Y., Lindh, J. D., Eriksson, N., Ghori, M. J. R., Bumpstead, S., Holm, L., McGinnis, R. E., Rane, A., & Deloukas, P. (2008) · Blood · doi:10.1182/blood-2008-04-149070 · Cited by 548 · see citing works
Genome-wide association analysis of susceptibility and clinical phenotype in multiple sclerosis
Baranzini, S. E., Wang, J., Gibson, R. A., Galwey, N., Naegelin, Y., Barkhof, F., Radue, E.-W., Lindberg, R. L. P., Uitdehaag, B. M. G., Johnson, M. R., et al. (2009) · Human Molecular Genetics · doi:10.1093/hmg/ddn388 · Cited by 476 · see citing works
So Many Correlated Tests, So Little Time! Rapid Adjustment of P Values for Multiple Correlated Tests
Conneely, K. N., & Boehnke, M. (2007) · The American Journal of Human Genetics · doi:10.1086/522036 · Cited by 446 · see citing works
Association of warfarin dose with genes involved in its action and metabolism
Wadelius, M., Chen, L. Y., Eriksson, N., Bumpstead, S., Ghori, J., Wadelius, C., Bentley, D., McGinnis, R. E., & Deloukas, P. (2006) · Human Genetics · doi:10.1007/s00439-006-0260-8 · Cited by 386 · see citing works
Genetic variation in selenoprotein S influences inflammatory response
Curran, J. E., Jowett, J. B. M., Elliott, K., Gao, Y., Gluschenko, K., Wang, J., Azim, D. M. A., Cai, G., Mahaney, M. C., Comuzzie, A. G., et al. (2005) · Nature Genetics · doi:10.1038/ng1655 · Cited by 375 · see citing works
Marroig, G., & Cheverud, J. M. (2005) · Evolution · doi:10.1111/j.0014-3820.2005.tb01049.x · Cited by 357 · see citing works
Self-citationAccounting for multiple comparisons in a genome-wide association study (GWAS)
Johnson, R. C., Nelson, G. W., Troyer, J. L., Lautenberger, J. A., Kessing, B. D., Winkler, C. A., & O’Brien, S. J. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-724 · Cited by 340 · see citing works
Avoiding the high Bonferroni penalty in genome‐wide association studies
Gao, X., Becker, L. C., Becker, D. M., Starmer, J., & Province, M. A. (2009) · Genetic Epidemiology · doi:10.1002/gepi.20430 · Cited by 333 · see citing works
Zengini, E., Hatzikotoulas, K., Tachmazidou, I., Steinberg, J., Hartwig, F. P., Southam, L., Hackinger, S., Boer, C. G., Styrkársdóttir, U., Gilly, A., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0079-y · Cited by 311 · see citing works
Košmrlj, A., Read, E. L., Qi, Y., Allen, T. M., Altfeld, M. A., Deeks, S. G., Pereyra, F., Carrington, M. N., Walker, B. D., & Chakraborty, A. K. (2010) · Nature · doi:10.1038/nature08997 · Cited by 301 · see citing works
On multiple‐testing correction in genome‐wide association studies
Moskvina, V., & Schmidt, K. M. (2008) · Genetic Epidemiology · doi:10.1002/gepi.20331 · Cited by 266 · see citing works
Measuring Morphological Integration Using Eigenvalue Variance
Pavličev, M., Cheverud, J. M., & Wagner, G. P. (2009) · Evolutionary Biology · doi:10.1007/s11692-008-9042-7 · Cited by 242 · see citing works
Self-citationPleiotropic scaling of gene effects and the ‘cost of complexity’
Wagner, G. P., Kenney‐Hunt, J. P., Pavličev, M., Peck, J. R., Waxman, D., & Cheverud, J. M. (2008) · Nature · doi:10.1038/nature06756 · Cited by 237 · see citing works
Self-citationGenome‐wide significance for dense SNP and resequencing data
Hoggart, C. J., Clark, T. G., Iorio, M. D., Whittaker, J. C., & Balding, D. J. (2008) · Genetic Epidemiology · doi:10.1002/gepi.20292 · Cited by 209 · see citing works
Methods for Handling Multiple Testing
Rice, T., Schork, N. J., & Rao, D. C. (2008) · Advances in genetics · doi:10.1016/s0065-2660(07)00412-9 · Cited by 202 · see citing works
What do we know and when do we know it?
Nicholls, A. O. (2008) · Journal of Computer-Aided Molecular Design · doi:10.1007/s10822-008-9170-2 · Cited by 203 · see citing works
Co-occurrence and symptomatology of fatigue and depression
Corfield, E. C., Martin, N. G., & Nyholt, D. R. (2016) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2016.08.004 · Cited by 201 · see citing works
Galwey, N. W. (2009) · Genetic Epidemiology · doi:10.1002/gepi.20408 · Cited by 189 · see citing works
Multi-environment QTL mixed models for drought stress adaptation in wheat
Mathews, K. L., Malosetti, M., Chapman, S. C., McIntyre, C. L., Reynolds, M. P., Shorter, R., & van Eeuwijk, F. (2008) · Theoretical and Applied Genetics · doi:10.1007/s00122-008-0846-8 · Cited by 185 · see citing works
Han, B., Kang, H. M., & Eskin, E. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000456 · Cited by 175 · see citing works
Dudbridge, F., & Koeleman, B. P. C. (2004) · The American Journal of Human Genetics · doi:10.1086/423738 · Cited by 166 · see citing works
Lu, T. X., Sherrill, J. D., Wen, T., Plassard, A. J., Besse, J. A., Abonia, J. P., Franciosi, J. P., Putnam, P. E., Eby, M. D., Martin, L. J., et al. (2012) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2012.01.060 · Cited by 162 · see citing works
A missense variant (P10L) of the melanopsin (OPN4) gene in seasonal affective disorder
Roecklein, K. A., Rohan, K. J., Duncan, W. C., Rollag, M. D., Rosenthal, N. E., Lipsky, R. H., & Provencio, I. (2008) · Journal of Affective Disorders · doi:10.1016/j.jad.2008.08.005 · Cited by 158 · see citing works
Genetic control of branching in foxtail millet
Doust, A. N., Devos, K. M., Gadberry, M. D., Gale, M. D., & Kellogg, E. A. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402892101 · Cited by 153 · see citing works
Sex Modifies the Relationship Between Age and Gait: A Population-Based Study of Older Adults
Callisaya, M. L., Blizzard, C. L., Schmidt, M. D., McGinley, J. L., & Srikanth, V. K. (2008) · The Journals of Gerontology Series A · doi:10.1093/gerona/63.2.165 · Cited by 154 · see citing works
Genetic architecture of adiposity in the cross of LG/J and SM/J inbred mice
Cheverud, J. M., Vaughn, T. T., Pletscher, L. S., Peripato, A. C., Adams, E. S., Erikson, C. F., & King‐Ellison, K. (2001) · Mammalian Genome · doi:10.1007/s003350010218 · Cited by 146 · see citing works
Self-citationGenome-wide association analysis identifies six new loci associated with forced vital capacity
Loth, D. W., Artigas, M. S., Gharib, S. A., Wain, L. V., Franceschini, N., Koch, B., Pottinger, T. D., Smith, A. V., Duan, Q., Oldmeadow, C. J., et al. (2014) · Nature Genetics · doi:10.1038/ng.3011 · Cited by 138 · see citing works
Davis, J. R., Frésard, L., Knowles, D. A., Pala, M., Bustamante, C. D., Battle, A. J., & Montgomery, S. B. (2015) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.11.021 · Cited by 138 · see citing works
Multiple testing corrections for imputed SNPs
Gao, X. (2011) · Genetic Epidemiology · doi:10.1002/gepi.20563 · Cited by 134 · see citing works
Ferenčaković, M., Sölkner, J., Kapš, M., & Čurik, I. (2017) · Journal of Dairy Science · doi:10.3168/jds.2016-12164 · Cited by 133 · see citing works
Balint-Kurti, P. J., Simmons, S. J., Blum, J. E., Ballaré, C. L., & Stapleton, A. E. (2010) · Molecular Plant-Microbe Interactions · doi:10.1094/mpmi-23-4-0473 · Cited by 132 · see citing works
Ehrich, T. H., Vaughn, T. T., Koreishi, S. F., Linsey, R. B., Pletscher, L. S., & Cheverud, J. M. (2003) · Journal of Experimental Zoology Part B Molecular and Developmental Evolution · doi:10.1002/jez.b.9 · Cited by 129 · see citing works
Self-citationPermutation – based statistical tests for multiple hypotheses
Camargo, A. V., Azuaje, F. J., Wang, H., & Zheng, H. (2008) · Source Code for Biology and Medicine · doi:10.1186/1751-0473-3-15 · Cited by 122 · see citing works
Willer, C. J., Bonnycastle, L. L., Conneely, K. N., Duren, W. L., Jackson, A., Scott, L. J., Narisu, N., Chines, P. S., Skol, A. D., Stringham, H. M., et al. (2006) · Diabetes · doi:10.2337/db06-0461 · Cited by 121 · see citing works
Schwantes-An, T.-H. L., Zhang, J., Chen, L., Hartz, S. M., Culverhouse, R., Chen, X., Coon, H. H., Frank, J., Kamens, H. M., Konte, B., et al. (2015) · Behavior Genetics · doi:10.1007/s10519-015-9737-3 · Cited by 115 · see citing works
CRHR1 genotypes, neural circuits and the diathesis for anxiety and depression
Rogers, J., Raveendran, M., Fawcett, G. L., Fox, A. S., Shelton, S. E., Oler, J. A., Cheverud, J. M., Muzny, D. M., Gibbs, R. A., Davidson, R. J., et al. (2012) · Molecular Psychiatry · doi:10.1038/mp.2012.152 · Cited by 114 · see citing works
Self-citationCheverud, J. M., Ehrich, T. H., Vaughn, T. T., Koreishi, S. F., Linsey, R. B., & Pletscher, L. S. (2004) · Journal of Experimental Zoology Part B Molecular and Developmental Evolution · doi:10.1002/jez.b.21008 · Cited by 112 · see citing works
Self-citationWhole-genome sequencing analysis of the cardiometabolic proteome
Gilly, A., Park, Y.-C., Png, G., Barysenka, A., Fischer, I., Bjørnland, T., Southam, L., Suveges, D., Neumeyer, S., Rayner, N. W., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-20079-2 · Cited by 107 · see citing works
Genetic studies of amyotrophic lateral sclerosis: Controversies and perspectives
Beleza‐Meireles, A., & Al‐Chalabi, A. (2009) · Amyotrophic Lateral Sclerosis · doi:10.1080/17482960802585469 · Cited by 110 · see citing works
Linkage Analysis in the Next-Generation Sequencing Era
Bailey-Wilson, J., & Wilson, A. F. (2011) · Human Heredity · doi:10.1159/000334381 · Cited by 112 · see citing works
Genomewide Significant Linkage to Migrainous Headache on Chromosome 5q21
Nyholt, D. R., Morley, K. I., Ferreira, M. A. R., Medland, S. E., Boomsma, D. I., Heath, A. C., Merikangas, K. R., Montgomery, G. W., & Martin, N. G. (2005) · The American Journal of Human Genetics · doi:10.1086/444510 · Cited by 107 · see citing works
Mancini, M. C., & Antonioli, F. (2020) · Animals · doi:10.3390/ani10040656 · Cited by 105 · see citing works
Quantitative trait loci for physical activity traits in mice
Lightfoot, J. T., Turner, M. J., Pomp, D., Kleeberger, S. R., & Leamy, L. J. (2008) · Physiological Genomics · doi:10.1152/physiolgenomics.00241.2007 · Cited by 103 · see citing works
The poolr Package for Combining Independent and Dependent p Values
Cinar, O., & Viechtbauer, W. (2022) · Journal of Statistical Software · doi:10.18637/jss.v101.i01 · Cited by 101 · see citing works
Genome wide association analyses for drought tolerance related traits in barley (Hordeum vulgare L.)
Varshney, R. K., Paulo, M., Grando, S., van Eeuwijk, F. A., Keizer, L. C. P., Guo, P., Ceccarelli, S., Kilian, A., Baum, M., & Graner, A. (2011) · Field Crops Research · doi:10.1016/j.fcr.2011.10.008 · Cited by 99 · see citing works
Genetic risk for obesity predicts nucleus accumbens size and responsivity to real-world food cues
Rapuano, K. M., Zieselman, A. L., Kelley, W. M., Sargent, J. D., Heatherton, T. F., & Gilbert-Diamond, D. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1605548113 · Cited by 96 · see citing works
Gene-Based Tests of Association
Huang, H., Chanda, P., Alonso, Á., Bader, J. S., & Arking, D. E. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002177 · Cited by 95 · see citing works
Estimating genome-wide significance for whole-genome sequencing studies
Xu, C., Tachmazidou, I., Walter, K., Ciampi, A., Zeggini, E., Greenwood, C. M. T., & the UK10K Consortium (2014) · Genetic Epidemiology · doi:10.1002/gepi.21797 · Cited by 93 · see citing works
Inghelandt, D. V., Melchinger, A. E., Martinant, J., & Stich, B. (2012) · BMC Plant Biology · doi:10.1186/1471-2229-12-56 · Cited by 93 · see citing works
The Genetic Basis for Inflorescence Variation Between Foxtail and Green Millet (Poaceae)
Doust, A. N., Devos, K. M., Gadberry, M. D., Gale, M. D., & Kellogg, E. A. (2005) · Genetics · doi:10.1534/genetics.104.035543 · Cited by 90 · see citing works
AN EPISTATIC GENETIC BASIS FOR FLUCTUATING ASYMMETRY OF MANDIBLE SIZE IN MICE
Leamy, L. J., Routman, E. J., & Cheverud, J. M. (2002) · Evolution · doi:10.1111/j.0014-3820.2002.tb01373.x · Cited by 87 · see citing works
Self-citationGenetic Control and Comparative Genomic Analysis of Flowering Time in Setaria (Poaceae)
Mauro‐Herrera, M., Wang, X., Barbier, H., Brutnell, T. P., Devos, K. M., & Doust, A. N. (2013) · G3 Genes Genomes Genetics · doi:10.1534/g3.112.005207 · Cited by 82 · see citing works
Cheverud, J. M., Ehrich, T. H., Hrbek, T., Kenney‐Hunt, J. P., Pletscher, L. S., & Semenkovich, C. F. (2004) · Diabetes · doi:10.2337/diabetes.53.12.3328 · Cited by 83 · see citing works
Self-citationQuantitative Trait Loci for Maternal Performance for Offspring Survival in Mice
Peripato, A. C., de Brito, R. A., Vaughn, T. T., Pletscher, L. S., Matioli, S. R., & Cheverud, J. M. (2002) · Genetics · doi:10.1093/genetics/162.3.1341 · Cited by 82 · see citing works
Self-citationMilner, S. G., Maccaferri, M., Huang, B. E., Mantovani, P., Massi, A., Frascaroli, E., Tuberosa, R., & Salvi, S. (2015) · Plant Biotechnology Journal · doi:10.1111/pbi.12424 · Cited by 83 · see citing works
Quantitative Trait Nucleotide Analysis Using Bayesian Model Selection
Blangero, J., Göring, H. H. H., Kent, J. W., Williams, J. T., Peterson, C. P., Almasy, L. A., & Dyer, T. D. (2006) · Human Biology · doi:10.1353/hub.2006.0003 · Cited by 82 · see citing works
Trait Components Provide Tools to Dissect the Genetic Susceptibility of Migraine
Anttila, V., Kallela, M., Oswell, G., Kaunisto, M. A., Nyholt, D. R., Hämäläinen, E., Havanka, H., Ilmavirta, M., Terwilliger, J. D., Sobel, E. M., et al. (2006) · The American Journal of Human Genetics · doi:10.1086/504814 · Cited by 82 · see citing works
Dopamine transporter genotype predicts behavioural and neural measures of response inhibition
Cummins, T. D. R., Hawi, Z., Hocking, J., Strudwick, M., Hester, R., Garavan, H., Wagner, J., Chambers, C. D., & Bellgrove, M. A. (2012) · Molecular Psychiatry · doi:10.1038/mp.2011.104 · Cited by 74 · see citing works
Liu, C., Cripe, T. P., & Kim, M. (2010) · Molecular Therapy · doi:10.1038/mt.2010.127 · Cited by 76 · see citing works
The Growing Importance of CNVs: New Insights for Detection and Clinical Interpretation
Valsesia, A., Macé, A., Jacquemont, S., Beckmann, J., & Kutalik, Z. (2013) · Frontiers in Genetics · doi:10.3389/fgene.2013.00092 · Cited by 72 · see citing works
Contribution of maternal effect QTL to genetic architecture of early growth in mice
Wolf, J. B., Vaughn, T. T., Pletscher, L. S., & Cheverud, J. M. (2002) · Heredity · doi:10.1038/sj.hdy.6800140 · Cited by 75 · see citing works
Self-citationEffect Sizes of Deletions and Duplications on Autism Risk Across the Genome
Douard, E. A., Zeribi, A., Schramm, C., Tamer, P., Loum, M. A., Nowak, S., Saci, Z., Lord, M.-P., Rodríguez‐Herreros, B., Jean‐Louis, M., et al. (2020) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2020.19080834 · Cited by 69 · see citing works
Shen, H., Liu, Y., Liu, P., Recker, R. R., & Deng, H. (2005) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.041129 · Cited by 73 · see citing works
Kauwe, J. S. K., Cruchaga, C., Karch, C. M. M., Sadler, B. E., Lee, M., Mayo, K., Latu, W., Su'a, M., Fagan, A. M., Holtzman, D. M., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0015918 · Cited by 72 · see citing works
Peloso, G. M., Demissie, S., Collins, D. E., Mirel, D. B., Gabriel, S., Cupples, L. A., Robins, S. J., Schaefer, E. J., & Brousseau, M. E. (2010) · Journal of Lipid Research · doi:10.1194/jlr.p008268 · Cited by 71 · see citing works
Hunter, J. E., Allen, E. G., Abramowitz, A. J., Rusin, M. J., Leslie, M., Novak, G., Hamilton, D., Shubeck, L., Charen, K. H., & Sherman, S. L. (2008) · Behavior Genetics · doi:10.1007/s10519-008-9214-3 · Cited by 71 · see citing works
Casein SNP in Norwegian goats: additive and dominance effects on milk composition and quality
Dagnachew, B. S., Thaller, G. E., Lien, S., & Ådnøy, T. (2011) · Genetics Selection Evolution · doi:10.1186/1297-9686-43-31 · Cited by 70 · see citing works
Effective Dimensionality: A Tutorial
Giudice, M. D. (2020) · Multivariate Behavioral Research · doi:10.1080/00273171.2020.1743631 · Cited by 64 · see citing works
Novel genetic variants in the chromosome 5p15.33 region associate with lung cancer risk
Pande, M., Spitz, M. R., Wu, X., Gorlov, I. P., Chen, W. V., & Amos, C. I. (2011) · Carcinogenesis · doi:10.1093/carcin/bgr136 · Cited by 68 · see citing works
Epistasis affecting litter size in mice
Peripato, A. C., de Brito, R. A., Matioli, S. R., Pletscher, L. S., Vaughn, T. T., & Cheverud, J. M. (2004) · Journal of Evolutionary Biology · doi:10.1111/j.1420-9101.2004.00702.x · Cited by 65 · see citing works
Self-citationAddressing Population‐Specific Multiple Testing Burdens in Genetic Association Studies
Sobota, R. S., Shriner, D., Kodaman, N. M., Goodloe, R., Zheng, W., Gao, Y., Edwards, T. L., Amos, C. I., & Williams, S. M. (2015) · Annals of Human Genetics · doi:10.1111/ahg.12095 · Cited by 65 · see citing works
Development and Genetic Control of Plant Architecture and Biomass in the Panicoid Grass, Setaria
Mauro‐Herrera, M., & Doust, A. N. (2016) · PLoS ONE · doi:10.1371/journal.pone.0151346 · Cited by 65 · see citing works
Serotonin transporter availability in adults with autism—a positron emission tomography study
Andersson, M., Tangen, Ä., Farde, L., Bölte, S., Halldin, C., Borg, J., & Lundberg, J. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-00868-3 · Cited by 64 · see citing works
Handakas, E., Chang, K., Khandpur, N., Vamos, E. P., Millett, C. J., Sassi, F., Vineis, P., & Robinson, O. (2022) · Clinical Nutrition · doi:10.1016/j.clnu.2022.09.002 · Cited by 63 · see citing works
Kernel machine SNP-set analysis for censored survival outcomes in genome-wide association studies
Lin, X., Cai, T., Wu, M. C., Zhou, Q., Liu, G., Christiani, D. C., & Lin, X. (2011) · Genetic Epidemiology · doi:10.1002/gepi.20610 · Cited by 62 · see citing works
Mastrokolias, A., Pool, R., Mina, E., Hettne, K. M., van Duijn, E., van der Mast, R. C., van Ommen, G. B., Hoen, P. A. C. ’., Prehn, C. P., Adamski, J., et al. (2016) · Metabolomics · doi:10.1007/s11306-016-1084-8 · Cited by 62 · see citing works
Coherent and incoherent inference in phylogeography and human evolution
Templeton, A. R. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0910647107 · Cited by 61 · see citing works
McElroy, M. S., Navarro, A. J. R., Mustiga, G. M., Stack, C., Gezan, S. A., Peña, G., Sarabia, W., Rojas, D. F. S., Sotomayor, I., Douglas, G. M., et al. (2018) · Frontiers in Plant Science · doi:10.3389/fpls.2018.00343 · Cited by 61 · see citing works
Broms, U., Wedenoja, J., Largeau, M. R., Korhonen, T., Pitkäniemi, J. M., Keskitalo‐Vuokko, K., Häppölä, A., Heikkilä, K., Heikkila, K. V., Ripatti, S., et al. (2012) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntr283 · Cited by 60 · see citing works
Doust, A. N., & Kellogg, E. A. (2005) · Molecular Ecology · doi:10.1111/j.1365-294x.2005.02791.x · Cited by 59 · see citing works
Analysis of Class II human leucocyte antigens in Italian and Spanish systemic sclerosis
Beretta, L., Rueda‐Medina, B., Marchini, M., Santaniello, A., Simeón‐Aznar, C. P., Fonollosa‐Pla, V., Caronni, M., Ríos-Fernández, R., Carreira, P. E., Rodríguez‐Rodríguez, L., et al. (2011) · Lara D. Veeken · doi:10.1093/rheumatology/ker335 · Cited by 58 · see citing works
A simple correction for non-independent testsPreprint
Derringer, J. L. (2018) · doi:10.31234/osf.io/f2tyw · Cited by 56 · see citing works
Mapping the serum proteome to neurological diseases using whole genome sequencing
Png, G., Barysenka, A., Repetto, L., Navarro, P., Shen, X., Pietzner, M., Wheeler, E., Wareham, N. J., Langenberg, C., Tsafantakis, E., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-27387-1 · Cited by 55 · see citing works
Statistical power in network neuroscience
Helwegen, K., Libedinsky, I., & van den Heuvel, M. P. (2023) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.12.011 · Cited by 56 · see citing works
Evaluation of Nyholt’s Procedure for Multiple Testing Correction
Salyakina, D., Seaman, S. R., Browning, B. L., Dudbridge, F., & Müller‐Myhsok, B. (2005) · Human Heredity · doi:10.1159/000087540 · Cited by 54 · see citing works
Leyva-Baca, I., Schenkel, F. S., Martin, J., & Karrow, N. A. (2007) · Journal of Dairy Science · doi:10.3168/jds.2007-0142 · Cited by 54 · see citing works
Cheng, R., & Palmer, A. A. (2012) · Genetics · doi:10.1534/genetics.112.146332 · Cited by 52 · see citing works
Hashimoto, S., Rai, M. F., Janiszak, K. L., Cheverud, J. M., & Sandell, L. J. (2012) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2012.01.022 · Cited by 51 · see citing works
Self-citationFine-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 51 · see citing works
Self-citationWyszynski, D. F., Albacha‐Hejazi, H., Aldirani, M., Hammod, M., Shkair, H., Karam, A., Alashkar, J., Holmes, T. N., Pugh, E., Doheny, K. F., et al. (2003) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.20283 · Cited by 51 · see citing works
- Authors
- Cheverud, J. M.
- Affiliations
- Washington University in St. Louis (US)
- Corresponding author
- Cheverud, James M
- ORCID
- Cheverud, James M
- Venue
- Heredity
- Published
- 2001
- Volume
- 87
- Issue
- 1
- Pages
- 52-58
- ISSN
- 0018-067X (ISSN-L)
- OpenAlex
- W2054881132
- Cited by
- 421
- References
- 21
- Citations by year
- 2026: 8 · 2025: 16 · 2024: 13 · 2023: 10 · 2022: 21 · 2021: 21 · 2020: 18 · 2019: 9 · 2018: 17 · 2017: 10 · 2016: 30 · 2015: 21 · 2014: 14 · 2013: 24 · 2012: 25
- FWCI
- 3.43
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Heredity (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation (9726433)
- National Institutes of Health (5r01dk052514-06)
- National Institute of Diabetes and Digestive and Kidney Diseases (DK52514)
- Division of Environmental Biology
- 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 Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Keywords
- multiple testing correction, interval mapping, genome scan, Bonferroni correction, significance threshold, marker density, chromosome length, QTL mapping
- MeSH terms
- Analysis of Variance, Biometry, Chromosome Mapping, Computer Simulation, Genetic Markers, Genotype, Genetic Linkage, Models, Genetic, Statistics as Topic, Models, Statistical, Quantitative Trait, Heritable
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