Haplotype Block Structure Is Conserved across Mammals
Open accessAbstract
Genetic variation in genomes is organized in haplotype blocks, and species-specific block structure is defined by differential contribution of population history effects in combination with mutation and recombination events. Haplotype maps characterize the common patterns of linkage disequilibrium in populations and have important applications in the design and interpretation of genetic experiments. Although evolutionary processes are known to drive the selection of individual polymorphisms, their effect on haplotype block structure dynamics has not been shown. Here, we present a high-resolution haplotype map for a 5-megabase genomic region in the rat and compare it with the orthologous human and mouse segments. Although the size and fine structure of haplotype blocks are species dependent, there is a significant interspecies overlap in structure and a tendency for blocks to encompass complete genes. Extending these findings to the complete human genome using haplotype map phase I data reveals that linkage disequilibrium values are significantly higher for equally spaced positions in genic regions, including promoters, as compared to intergenic regions, indicating that a selective mechanism exists to maintain combinations of alleles within potentially interacting coding and regulatory regions. Although this characteristic may complicate the identification of causal polymorphisms underlying phenotypic traits, conservation of haplotype structure may be employed for the identification and characterization of functionally important genomic regions.
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?
The isolation of strains and breeds in mouse, rat, cow, and dog results in much longer block lengths than are found in humans.
“The isolation of strains and breeds in these species results in much longer block lengths than are found in humans.”
From Linkage disequilibrium--understanding the evolutionary past and mapping the medical future. (2008) · cites this paper as [22]
The Results/Discussion section says linkage disequilibrium spans larger segments in mouse and rat than in humans and relates larger haplotype blocks to differences in population history. The Introduction also links large blocks in laboratory mice to a bottleneck during domestication. Our copy does not extend this comparison or explanation to cow or dog breeds. (LLM, conf=0.88)
Experimental — accuracy not yet measured
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
The Structure of Haplotype Blocks in the Human Genome
Gabriel, S. B., Schaffner, S. F., Nguyen, H., Moore, J. M., Roy, J., Blumenstiel, B., Higgins, J., DeFelice, M., Lochner, A., Faggart, M., et al. (2002) · Science · doi:10.1126/science.1069424 · Cited by 5,863 · see citing works
A haplotype map of the human genome
The International HapMap Consortium (2005) · Nature · doi:10.1038/nature04226 · Cited by 5,858 · see citing works
A Map of Recent Positive Selection in the Human Genome
Voight, B. F., Kudaravalli, S., Wen, X., & Pritchard, J. K. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040072 · Cited by 2,912 · see citing works
Genome sequence, comparative analysis and haplotype structure of the domestic dog
members, B. S. P., Lindblad-Toh, K., Wade, C. M., Mikkelsen, T. S., Karlsson, E. K., Jaffe, D. B., Kamal, M., Clamp, M., Chang, J. L., Kulbokas, E. J., et al. (2005) · Nature · doi:10.1038/nature04338 · Cited by 2,568 · see citing works
A high-resolution recombination map of the human genome
Kong, A., Gudbjartsson, D. F., Sainz, J., Jonsdottir, G. M., Gudjonsson, S. A., Richardsson, B., Sigurdardottir, S. L., Barnard, J., Hallbeck, B., Másson, G., et al. (2002) · Nature Genetics · doi:10.1038/ng917 · Cited by 1,750 · see citing works
Whole-Genome Patterns of Common DNA Variation in Three Human Populations
Hinds, D., Stuve, L., Nilsen, G. B., Halperin, E., Eskin, E., Ballinger, D., Frazer, K., & Cox, D. (2005) · Science · doi:10.1126/science.1105436 · Cited by 1,245 · see citing works
A Fine-Scale Map of Recombination Rates and Hotspots Across the Human Genome
Myers, S., Bottolo, L., Freeman, C., McVean, G., & Donnelly, P. (2005) · Science · doi:10.1126/science.1117196 · Cited by 1,134 · see citing works
LAGAN and Multi-LAGAN: Efficient tools for large-scale multiple alignment of genomic DNA
Brudno, M., Do, C. B., Cooper, G. M., Kim, M. F., Davydov, E., Program, N. C. S., Green, E. D., Sidow, A., & Batzoglou, S. (2003) · Genome Research · doi:10.1101/gr.926603 · Cited by 1,115 · see citing works
A Comparison of Linkage Disequilibrium Measures for Fine-Scale Mapping
Devlin, B., & RISCH, N. J. (1995) · Genomics · doi:10.1006/geno.1995.9003 · Cited by 1,044 · see citing works
Jeffreys, A. J., Kauppi, L., & Neumann, R. (2001) · Nature Genetics · doi:10.1038/ng1001-217 · Cited by 838 · see citing works
Natural selection on protein-coding genes in the human genome
Bustamante, C. D., Fledel-Alon, A., Williamson, S., Nielsen, R., Hubisz, M. J., Glanowski, S., Tanenbaum, D. M., White, T. J., Sninsky, J. J., Hernandez, R. D., et al. (2005) · Nature · doi:10.1038/nature04240 · Cited by 788 · see citing works
Inferring Nonneutral Evolution from Human-Chimp-Mouse Orthologous Gene Trios
Clark, A. G., Glanowski, S., Nielsen, R., Thomas, P. D., Kejariwal, A., Todd, M. A., Tanenbaum, D. M., Civello, D., Lu, F., Murphy, B., et al. (2003) · Science · doi:10.1126/science.1088821 · Cited by 660 · see citing works
Dating the Origin of the CCR5-Δ32 AIDS-Resistance Allele by the Coalescence of Haplotypes
Stephens, J. C., Reich, D. E., Goldstein, D. B., Shin, H. D., Smith, M. W., Carrington, M., Winkler, C., Huttley, G. A., Allikmets, R., Schriml, L., et al. (1998) · The American Journal of Human Genetics · doi:10.1086/301867 · Cited by 520 · see citing works
The mosaic structure of variation in the laboratory mouse genome
Wade, C. M., Kulbokas, E. J., Kirby, A. W., Zody, M. C., Mullikin, J. C., Lander, E. S., Lindblad‐Toh, K., & Daly, M. J. (2002) · Nature · doi:10.1038/nature01252 · Cited by 458 · see citing works
Global landscape of recent inferred Darwinian selection for Homo sapiens
Wang, E. T., Kodama, G., Baldi, P., & Moyzis, R. K. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0509691102 · Cited by 367 · see citing works
Comparison of Fine-Scale Recombination Rates in Humans and Chimpanzees
Winckler, W., Myers, S. R., Richter, D. J., Onofrio, R. C., McDonald, G. J., Bontrop, R. E., McVean, G., Gabriel, S., Reich, D., Donnelly, P., et al. (2005) · Science · doi:10.1126/science.1105322 · Cited by 357 · see citing works
Fine-scale recombination patterns differ between chimpanzees and humans
Ptak, S. E., Hinds, D. A., Koehler, K., Nickel, B., Patil, N., Ballinger, D. G., Przeworski, M., Frazer, K. A., & Pääbo, S. (2005) · Nature Genetics · doi:10.1038/ng1529 · Cited by 279 · see citing works
Yalcin, B., Willis‐Owen, S. A. G., Fullerton, J. M., Meesaq, A., Deacon, R. M. J., Rawlins, J. N. P., Copley, R. R., Morris, A. P., Jonathan Flint, C., & Mott, R. (2004) · Nature Genetics · doi:10.1038/ng1450 · Cited by 279 · see citing works
The Case for Selection at CCR5-Δ32
Sabeti, P. C., Walsh, E. C., Schaffner, S. F., Varilly, P., Fry, B., Hutcheson, H. B., Cullen, M., Mikkelsen, T. S., Roy, J., Patterson, N. J., et al. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030378 · Cited by 205 · see citing works
Genetic variation in laboratory mice
Wade, C. M., & Daly, M. J. (2005) · Nature Genetics · doi:10.1038/ng1666 · Cited by 187 · see citing works
Human recombination hot spots hidden in regions of strong marker association
Jeffreys, A. J., Neumann, R., Panayi, M., Myers, S. R., & Donnelly, P. (2005) · Nature Genetics · doi:10.1038/ng1565 · Cited by 170 · see citing works
Unexpected complexity in the haplotypes of commonly used inbred strains of laboratory mice
Yalcin, B., Fullerton, J. M., Miller, S. J., Keays, D. A., Brady, S., Bhomra, A., Jefferson, A., Volpi, E. V., Copley, R. R., Jonathan Flint, C., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0401189101 · Cited by 109 · see citing works
Sequence features in regions of weak and strong linkage disequilibrium.Preprint
Smith, A., Thomas, D. J., Munro, H. M., & Abecasis, G. (2005) · Genome Research · doi:10.1101/gr.4421405 · Cited by 100 · see citing works
Large-scale recombination rate patterns are conserved among human populationsPreprint
Serre, D., Nadon, R., & Hudson, T. J. (2005) · Genome Research · doi:10.1101/gr.4211905 · Cited by 60 · see citing works
Choi, S. S., Li, W., & Lahn, B. T. (2005) · Nature Genetics · doi:10.1038/ng1685 · Cited by 46 · see citing works
Single Nucleotide Polymorphisms Associated With Rat Expressed SequencesPreprint
Guryev, V., Berezikov, E., Malik, R., Plasterk, R. H. A., & Cuppen, E. P. J. G. (2004) · Genome Research · doi:10.1101/gr.2154304 · Cited by 46 · see citing works
Self-citationHaplotype-based genetics in mice and rats
Cuppen, E. P. J. G. (2005) · Trends in Genetics · doi:10.1016/j.tig.2005.03.010 · Cited by 35 · see citing works
Self-citationGreenawalt, D. M., Cui, X., Wu, Y., Lin, Y., Wang, H., Luo, M., Tereshchenko, I. V., Hu, G., Li, J. Y., Chu, Y., et al. (2005) · Genome Research · doi:10.1101/gr.4641706 · Cited by 24 · see citing works
Smits, B. M. G., Guryev, V., Zeegers, D., Wedekind, D., Hedrich, H. J., & Cuppen, E. P. J. G. (2005) · BMC Genomics · doi:10.1186/1471-2164-6-170 · Cited by 22 · see citing works
Self-citationRana, N. A., Ebenezer, N. D., Webster, A. R., Ruiz‐Linares, A., Whitehouse, D. B., Povey, S., & Hardcastle, A. J. (2004) · Human Molecular Genetics · doi:10.1093/hmg/ddh337 · Cited by 14 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Linkage disequilibrium--understanding the evolutionary past and mapping the medical future.
Slatkin, M. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2361 · Cited by 1,614 · see citing works
Application of single nucleotide polymorphisms to non‐model species: a technical review
Garvin, M. R., Saitoh, K., & Gharrett, A. J. (2010) · Molecular Ecology Resources · doi:10.1111/j.1755-0998.2010.02891.x · Cited by 209 · see citing works
SNP and haplotype mapping for genetic analysis in the rat
Saar, K., Heinig, M., Hummel, O., Lee, Y.-A., Patone, G., Schulz, H., Zimdahl, H., Hübner, N., Beck, A., Klages, S., et al. (2008) · Nature Genetics · doi:10.1038/ng.124 · Cited by 189 · see citing works
Self-citationFrom molecules to populations: appreciating and estimating recombination rate variation
Peñalba, J. V., & Wolf, J. B. W. (2020) · Nature Reviews Genetics · doi:10.1038/s41576-020-0240-1 · Cited by 176 · see citing works
High-resolution haplotype block structure in the cattle genome
Villa-Angulo, R., Matukumalli, L. K., Gill, C. A., Choi, J.-W., Tassell, C. P. V., & Grefenstette, J. J. (2009) · BMC Genetics · doi:10.1186/1471-2156-10-19 · Cited by 161 · see citing works
Haplotype Mapping of a Diploid Non-Meiotic Organism Using Existing and Induced Aneuploidies
Legrand, M., Forche, A., Selmecki, A. M., Chan, C., Kirkpatrick, D. T., & Berman, J. G. (2007) · PLoS Genetics · doi:10.1371/journal.pgen.0040001 · Cited by 153 · see citing works
Sub-genomic selection patterns as a signature of breeding in the allopolyploid Brassica napus genome
Qian, L., Qian, W., & Snowdon, R. J. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-1170 · Cited by 131 · see citing works
HBEGF, SRA1, and IK: Three cosegregating genes as determinants of cardiomyopathyPreprint
Friedrichs, F., Zugck, C., Rauch, G.-J., Ivandic, B., Weichenhan, D., Müller-Bardorff, M., Meder, B., Mokhtari, N. E. E., Regitz‐Zagrosek, V., Hetzer, R., et al. (2008) · Genome Research · doi:10.1101/gr.076653.108 · Cited by 104 · see citing works
Qi, L., Zhang, C., van Dam, R. M., & Hu, F. B. (2007) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-0877 · Cited by 102 · see citing works
Perspectives on the Drosophila melanogaster Model for Advances in Toxicological Science
Rand, M. D., Tennessen, J. M., Mackay, T. F. C., & Anholt, R. R. H. (2023) · Current Protocols · doi:10.1002/cpz1.870 · Cited by 80 · see citing works
Genome-Wide SNP Markers Based on SLAF-Seq Uncover Breeding Traces in Rapeseed (Brassica napus L.)
Zhou, Q., Zhou, C., Zheng, W., Mason, A. S., Shuying, F., Wu, C., Fu, D., & Huang, Y. (2017) · Frontiers in Plant Science · doi:10.3389/fpls.2017.00648 · Cited by 76 · see citing works
Playing hide and seek with mammalian meiotic crossover hotspots
Buard, J., & de Massy, B. (2007) · Trends in Genetics · doi:10.1016/j.tig.2007.03.014 · Cited by 71 · see citing works
Linkage disequilibrium and haplotype block structure in six commercial pig lines
Veroneze, R., Lopes, P. S., Guimarães, S. E. F., Silva, F. F. E., Lopes, M. S., Harlizius, B., & Knol, E. F. (2013) · Journal of Animal Science · doi:10.2527/jas.2012-6052 · Cited by 69 · see citing works
Detection of polymorphisms in bovine toll-like receptors 3, 7, 8, and 9
Cargill, E. J., & Womack, J. E. (2007) · Genomics · doi:10.1016/j.ygeno.2007.02.008 · Cited by 61 · see citing works
Functional polymorphisms in Toll-like receptor genes for innate immunity in farm animals
Novák, K. (2013) · Veterinary Immunology and Immunopathology · doi:10.1016/j.vetimm.2013.10.016 · Cited by 52 · see citing works
Alcala, N., & Vuilleumier, S. (2014) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2014.1369 · Cited by 45 · see citing works
Simultaneous SNP identification and assessment of allele-specific bias from ChIP-seq data
Ni, Y., Hall, A. W., Battenhouse, A. M., & Iyer, V. R. (2012) · BMC Genetics · doi:10.1186/1471-2156-13-46 · Cited by 32 · see citing works
Deng, T., Liang, A., Liu, J., Hua, G., Ye, T., Liu, S., Campanile, G., Plastow, G. S., Zhang, C., Wang, Z., et al. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2018.00688 · Cited by 30 · see citing works
Jacobsson, J. A., Almén, M. S., Benedict, C., Hedberg, L., Michaëlsson, K., Brooks, S. J., Kullberg, J., Axelsson, T., Johansson, L. O. M., Ahlström, H. K., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0020158 · Cited by 30 · see citing works
Comparative Genomics for Detecting Human Disease Genes
Moreno, C., Lazar, J., Jacob, H. J., & Kwitek, A. E. (2008) · Advances in genetics · doi:10.1016/s0065-2660(07)00423-3 · Cited by 23 · see citing works
Fine Haplotype Structure of a Chromosome 17 Region in the Laboratory and Wild Mouse
Trachtulec, Z., Vlček, Č., Mihola, O., Gregorová, S., Fotopulosová, V., & Forejt, J. (2008) · Genetics · doi:10.1534/genetics.107.082404 · Cited by 22 · see citing works
Singhal, P., Veturi, Y., DUDEK, S. M., Lucas, A., Frase, A., Steen, K. V., Schrodi, S. J., Fasel, D. A., Weng, C., Pendergrass, R. K., et al. (2023) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2023.03.007 · Cited by 21 · see citing works
Rong, E., Yang, H., Zhang, Z., Wang, Z. P., Yan, X. H., Li, H., & Wang, N. (2015) · Journal of Animal Science · doi:10.2527/jas.2015-8963 · Cited by 21 · see citing works
Linkage disequilibrium and population structure in a core collection of Brassica napus (L.)
Rahman, M., Hoque, A., & Roy, J. K. (2022) · PLoS ONE · doi:10.1371/journal.pone.0250310 · Cited by 20 · see citing works
Versoza, C. J., Weiss, S. A., Johal, R., Rosa, B. L., Jensen, J. D., & Pfeifer, S. P. (2023) · Genome Biology and Evolution · doi:10.1093/gbe/evad223 · Cited by 20 · see citing works
Munroe, M. E., Pezant, N. P., Brown, M., Fife, D. A., Guthridge, J. M., Kelly, J. A., Wiley, G. B., Gaffney, P. M., James, J. A., & Montgomery, C. G. (2017) · PLoS ONE · doi:10.1371/journal.pone.0171193 · Cited by 20 · see citing works
Genome-wide compatible SNP intervals and their properties
Wang, J., Moore, K. J., Zhang, Q., de Villena, F. P., Wang, W., & McMillan, L. (2010) · ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) · doi:10.1145/1854776.1854788 · Cited by 19 · see citing works
A multilocus linkage disequilibrium measure based on mutual information theory and its applications
Zhang, L., Liu, J., & Deng, H. (2009) · Genetica · doi:10.1007/s10709-009-9399-2 · Cited by 19 · see citing works
Oyelami, F. O., Zhao, Q., Xu, Z., Zhang, Z., Sun, H., Zhang, Z., Ma, P., Wang, Q., & Pan, Y. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.00752 · Cited by 18 · see citing works
Pelleymounter, L. L., Moon, I., Johnson, J. A., Laederach, A., Halvorsen, M., Eckloff, B. W., Abo, R., & Rossetti, S. (2011) · Molecular Genetics and Metabolism · doi:10.1016/j.ymgme.2011.08.019 · Cited by 18 · see citing works
Tollenaere, C., Ivanova, S., Duplantier, J., Loiseau, A., Rahalison, L., Rahelinirina, S., & Brouat, C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032814 · Cited by 17 · see citing works
Variations in Adiponectin Receptor Genes and Susceptibility to Type 2 Diabetes in Women
Qi, L., Doria, A., Giorgi, E. E., & Hu, F. B. (2007) · Diabetes · doi:10.2337/db06-1447 · Cited by 17 · see citing works
Mouresan, E. F., González‐Rodríguez, A., Álvarez, J. J. C., Munilla, S., Altarriba, J., Díaz, C., de la Fuente, J. Á. B., Molina, A., López‐Buesa, P., Piedrafita, J., et al. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.01170 · Cited by 15 · see citing works
Kulski, J. K., Suzuki, S., & Shiina, T. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.665899 · Cited by 15 · see citing works
Jasielczuk, I., Gurgul, A., Szmatoła, T., Semik‐Gurgul, E., Pawlina‐Tyszko, K., Stefaniuk‐Szmukier, M., Polak, G., Tomczyk-Wrona, I., & Bugno‐Poniewierska, M. (2020) · Livestock Science · doi:10.1016/j.livsci.2020.104095 · Cited by 13 · see citing works
Lou, Q., Li, T., Wu, P., Cong, Q., Zhang, G., & Wang, J. (2018) · Animal Biotechnology · doi:10.1080/10495398.2018.1516222 · Cited by 12 · see citing works
Linkage disequilibrium and haplotype block structure in Portuguese Holstein cattle
Salem, M. M. I., Thompson, G., Chen, S., Beja‐Pereira, A., & Carvalheira, J. G. V. (2018) · Czech Journal of Animal Science · doi:10.17221/56/2017-cjas · Cited by 11 · see citing works
Yu, H., Zou, W., Xin, S., Wang, X., Mi, C., Dai, G., Zhang, T., Zhang, G., Xie, K., Wang, J., et al. (2019) · Genes · doi:10.3390/genes10110890 · Cited by 11 · see citing works
Zhang, H., Li, X., Zhou, L. P., Zhang, K., Zhang, Q., Li, J., Wang, N., Jin, M., Wu, N., Cong, M., et al. (2017) · Medicine · doi:10.1097/md.0000000000008150 · Cited by 10 · see citing works
Molecular Colony Technique: A New Tool for Biomedical Research and Clinical Practice
Chetverin, A. B., & Chetverina, H. V. (2008) · Progress in nucleic acid research and molecular biology · doi:10.1016/s0079-6603(08)00007-x · Cited by 10 · see citing works
Nanocolonies: Detection, cloning, and analysis of individual molecules
Chetverina, H. V., & Chetverin, A. B. (2008) · Biochemistry (Moscow) · doi:10.1134/s0006297908130014 · Cited by 9 · see citing works
Genesis of ancestral haplotypes: RNA modifications and reverse transcription–mediated polymorphisms
Steele, E. J., Williamson, J. F., Lester, S. E., Stewart, B. J., Millman, J. A., Carnegie, P. R., Lindley, R. A., Pain, G. N., & Dawkins, R. L. (2010) · Human Immunology · doi:10.1016/j.humimm.2010.12.005 · Cited by 8 · see citing works
Ying, T., Zhang, T., Zhang, G., Wang, J., Fan, Q., Chen, X., Wei, Y., Han, K., & Wang, Y. (2014) · Molecular Biology Reports · doi:10.1007/s11033-014-3569-8 · Cited by 8 · see citing works
Evolutionary Dynamics of Co-Segregating Gene Clusters Associated with Complex Diseases
Preuß, C., Riemenschneider, M., Wiedmann, D. R., & Stoll, M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0036205 · Cited by 7 · see citing works
Correlation of microsynteny conservation and disease gene distribution in mammalian genomes
Lovell, S. C., Li, X., Weerasinghe, N. R., & Hentges, K. E. (2009) · BMC Genomics · doi:10.1186/1471-2164-10-521 · Cited by 7 · see citing works
Wang, X., Yu, H., Zou, W.-B., Mi, C., Dai, G., Zhang, T., Zhang, G., Xie, K., & Wang, J.-Y. (2020) · Genes · doi:10.3390/genes11050476 · Cited by 7 · see citing works
FGF-2 Gene Polymorphism in Osteoporosis among Guangxi’s Zhuang Chinese
Bin, X., Lin, C., Huang, X., Zhou, Q.-H., Wang, L., & Xian, C. J. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18071358 · Cited by 6 · see citing works
Tang, H., Ma, Y., Li, J., Zhang, Z., Li, W., Cai, C., Zhang, L., Li, Z., Tian, Y., Zhang, Y., et al. (2022) · Research in Veterinary Science · doi:10.1016/j.rvsc.2022.12.001 · Cited by 4 · see citing works
Zhao, Y., Rong, E., Wang, S., Zhang, H., Leng, L., Wang, Y., Wang, Q., & Li, H. (2013) · The Journal of Poultry Science · doi:10.2141/jpsa.0130005 · Cited by 4 · see citing works
Association between Fbxl5 gene polymorphisms and partial economic traits in Jinghai Yellow chickens
Yin, X., Yuan, M., Duan, Y., Zhang, S., Wu, Y., & Wang, J. (2019) · Archives animal breeding/Archiv für Tierzucht · doi:10.5194/aab-62-91-2019 · Cited by 4 · see citing works
Genetic structure analysis in several populations of cattle using SNP genotypes
Hajihosseinlo, A., Nejati‐Javaremi, A., & Miraei-Ashtiani, S. R. (2021) · Animal Biotechnology · doi:10.1080/10495398.2021.1960360 · Cited by 4 · see citing works
Jasielczuk, I., Szmatoła, T., Miksza-Cybulska, A., Kawęcka, A., & Gurgul, A. (2023) · Small Ruminant Research · doi:10.1016/j.smallrumres.2023.107109 · Cited by 4 · see citing works
Xiao, M., Ruan, Y., Huang, J., Dai, L., Xu, J., & Xu, H. (2024) · Frontiers in Genetics · doi:10.3389/fgene.2024.1346903 · Cited by 3 · see citing works
Rat Genome Mapping and Genomics
Szpirer, C., & Levan, G. (2012) · Springer eBooks · doi:10.1007/978-3-642-31316-5_9 · Cited by 3 · see citing works
Benavides, F. J., & Guénet, J. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-382008-2.00004-0 · Cited by 3 · see citing works
Simultaneous SNP identification and assessment of allele-specific bias from ChIP-seq data
Ni, Y., Hall, A. W., Battenhouse, A. M., & Iyer, V. R. (2012) · BMC Genetics · doi:10.1186/1471-2156-13-79 · Cited by 3 · see citing works
Qing, H. A. N., Wang, S., Hu, G., & Li, H. (2011) · Agricultural Sciences in China · doi:10.1016/s1671-2927(11)60007-2 · Cited by 2 · see citing works
Drug-response related genetic architecture of Bangladeshi population
Ahsan, T., & Sajib, A. A. (2019) · Meta Gene · doi:10.1016/j.mgene.2019.100585 · Cited by 2 · see citing works
Rare variant phasing using paired tumor:normal sequence data
Buckley, A. R., Ideker, T. E., Carter, H. K., & Schork, N. J. (2019) · BMC Bioinformatics · doi:10.1186/s12859-019-2753-1 · Cited by 2 · see citing works
Analysis and visualization of local phylogenetic structure within species
McMillan, L., & Wang, J. (2013) · Cited by 2 · see citing works
Odou, M. (2017) · Open Access Journal of Endocrinology · doi:10.23880/oaje-16000101 · Cited by 1 · see citing works
Translational Research Methods: The Value of Animal Models in Renal Research
Kreidberg, J. A. (2014) · Springer eBooks · doi:10.1007/978-3-642-27843-3_14-1 · Cited by 1 · see citing works
A molecular investigation of a mixed ancestry family displaying dementia and movement disorders
Abrahams-Salaam, F. (2008) · SUNScholar (Stellenbosch University)
Kreidberg, J. A. (2009)
Kreidberg, J. A. (2009) · Springer eBooks · doi:10.1007/978-3-540-76341-3_16
Translational Research Methods: The Value of Animal Models in Renal Research
Kreidberg, J. A. (2015) · Springer eBooks · doi:10.1007/978-3-662-43596-0_14
REMOVED DUE TO POLICY VIOLATIONSPreprint
Rostazada, M. D., Shirzad, J., Hazim, Z., & Sharifi, M. A. (2023) · doi:10.31219/osf.io/urfe9
- Authors
- Guryev, V., Smits, B. M. G., de Belt, J. V., Verheul, M., Hubner, N., & Cuppen, E.
- Affiliations
- Hubrecht Institute for Developmental Biology and Stem Cell Research (NL)
- Corresponding author
- Cuppen, Edwin
- Venue
- PLoS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2006-07-28
- Volume
- 2
- Issue
- 7
- Pages
- e121
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- PMC
- PMC1523234
- OpenAlex
- W2165123153
- Cited by
- 69
- References
- 30
- Citations by year
- 2024: 1 · 2023: 5 · 2022: 2 · 2021: 2 · 2020: 4 · 2019: 6 · 2018: 2 · 2017: 5 · 2015: 2 · 2014: 5 · 2013: 4 · 2012: 6
- FWCI
- 3.42
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Genetics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (acceptedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences) (submittedVersion)
- Funders
- European Commission
- European Science Foundation
- 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 diversity and population structure
- Keywords
- haplotype blocks, linkage disequilibrium, HapMap, interspecies conservation, rats, human, mice, promoter, demographic history, recombination, genetic polymorphism
- MeSH terms
- Animals, Multigene Family, Haplotypes, Humans, Mammals, Models, Genetic, Polymorphism, Genetic, Recombination, Genetic, Species Specificity, Genetic Variation, Linkage Disequilibrium, Evolution, Molecular, Mice, Rats
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
