GenABEL: an R library for genome-wide association analysis

Generating samples under a Wright–Fisher neutral model of genetic variation

Hudson, R. R. (2002) · Bioinformatics · doi:10.1093/bioinformatics/18.2.337 · Cited by 2,397

Score Tests for Association between Traits and Haplotypes when Linkage Phase Is Ambiguous

Schaid, D. J., Rowland, C. M., Tines, D. E., Jacobson, R. M., & Poland, G. A. (2002) · The American Journal of Human Genetics · doi:10.1086/338688 · Cited by 1,777

A Note on Exact Tests of Hardy-Weinberg Equilibrium

Wigginton, J. E., Cutler, D. J., & Abecasis, G. R. (2005) · The American Journal of Human Genetics · doi:10.1086/429864 · Cited by 1,492

Genome-wide association: a promising start to a long race

Evans, D. M., & Cardon, L. R. (2006) · Trends in Genetics · doi:10.1016/j.tig.2006.05.001 · Cited by 33

Hearing function and thresholds: a genome-wide association study in European isolated populations identifies new loci and pathways: Figure 1

Girotto, G., Pirastu, N., Sorice, R., Biino, G., Campbell, H., D’Adamo, P., Hastie, N. D., Nutile, T., Polašek, O., Portas, L., et al. (2011) · Journal of Medical Genetics · doi:10.1136/jmg.2010.088310 · Cited by 81

A Further Look at Porcine Chromosome 7 Reveals VRTN Variants Associated with Vertebral Number in Chinese and Western Pigs

Yin, F., Xing, Y., Zhang, Z., Ai, H., Ouyang, Z., Ouyang, J., Yang, M. J., Li, P., Chen, Y., Gao, J. L., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0062534 · Cited by 82

EVI5 is a risk gene for multiple sclerosis

Hoppenbrouwers, I. A., Aulchenko, Y. S., Ebers, G. C., Ramagopalan, S. V., Oostra, B. A., van Duijn, C. M., & Hintzen, R. Q. (2008) · Genes and Immunity · doi:10.1038/gene.2008.22 · Cited by 81

Large-Scale Candidate Gene Analysis in Whites and African Americans Identifies IL6R Polymorphism in Relation to Atrial Fibrillation

Schnabel, R. B., Kerr, K. F., Lubitz, S. A., Alkylbekova, E. L., Marcus, G. M., Sinner, M. F., Magnani, J. W., Wolf, P. A., Deo, R., Lloyd‐Jones, D. M., et al. (2011) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.110.959197 · Cited by 80

Genome Wide Analysis of Fertility and Production Traits in Italian Holstein Cattle

Minozzi, G., Nicolazzi, E. L., Stella, A., Biffani, S., Negrini, R., Lazzari, B., Ajmone‐Marsan, P., & Williams, J. L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0080219 · Cited by 81

Genome-Wide Association Study of Meat Quality Traits in a White Duroc×Erhualian F2 Intercross and Chinese Sutai Pigs

Ma, J., Yang, J., Zhou, L., Zhang, Z., Ma, H., Xie, X., Zhang, F., Xiong, X., Cui, L., Yang, H., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064047 · Cited by 81

A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context

Gallois, A., Mefford, J., Ko, A., Vaysse, A., Julienne, H., Ala‐Korpela, M., Laakso, M., Zaitlen, N., Pajukanta, P., & Aschard, H. (2019) · Nature Communications · doi:10.1038/s41467-019-12703-7 · Cited by 78

Replication of celiac disease UK genome-wide association study results in a US population

Garner, C., Murray, J. A., Ding, Y. C., Tien, Z., van Heel, D. A., & Neuhausen, S. L. (2009) · Human Molecular Genetics · doi:10.1093/hmg/ddp364 · Cited by 82

Genome‐wide association study for reproductive traits in a Large White pig population

Wang, Y., Ding, X., Tan, Z., Xing, K., Yang, T., Wang, Y., Sun, D., & Wang, C. (2018) · Animal Genetics · doi:10.1111/age.12638 · Cited by 81

Selection on a Genetic Polymorphism Counteracts Ecological Speciation in a Stick Insect

Comeault, A. A., Flaxman, S. M., Riesch, R., Curran, E. V., Soria‐Carrasco, V., Gompert, Z., Farkas, T. E., Muschick, M., Parchman, T. L., Schwander, T., et al. (2015) · Current Biology · doi:10.1016/j.cub.2015.05.058 · Cited by 81

Prevalence of adiposity and associated cardiometabolic risk factors in the samoan genome‐wide association study

Hawley, N. L., Minster, R. L., Weeks, D. E., Viali, S., Reupena, M. S., Sun, G., Cheng, H., Deka, R., & McGarvey, S. T. (2014) · American Journal of Human Biology · doi:10.1002/ajhb.22553 · Cited by 80

Genetic Architecture of Plasma Adiponectin Overlaps With the Genetics of Metabolic Syndrome–Related Traits

Henneman, P., Aulchenko, Y. S., Frants, R. R., Zorkoltseva, I. V., Zillikens, M. C., Frölich, M., Oostra, B. A., van Dijk, K. W., & van Duijn, C. M. (2010) · Diabetes Care · doi:10.2337/dc09-1385 · Cited by 80

Genome-wide association study identifies three key loci for high mesocarp oil content in perennial crop oil palm

Teh, C.-K., Ong, A. L., Kwong, Q.-B., Apparow, S., Chew, F. T., Mayes, S., Mohamed, M., Appleton, D. R., & Kulaveerasingam, H. (2016) · Scientific Reports · doi:10.1038/srep19075 · Cited by 82

Evolutionary and functional impact of common polymorphic inversions in the human genome

Giner-Delgado, C., Villatoro, S., Lerga-Jaso, J., Gayà‐Vidal, M., Oliva, M., Castellano, D., Pantano, L., Bitarello, B. D., Izquierdo, D., Noguera, I., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12173-x · Cited by 79

Genome-wide linkage analysis of serum creatinine in three isolated European populations

Pattaro, C., Aulchenko, Y. S., Isaacs, A. J., Vitart, V., Hayward, C., Franklin, C. S., Polašek, O., Kolčić, I., Biloglav, Z., Campbell, S., et al. (2009) · Kidney International · doi:10.1038/ki.2009.135 · Cited by 76

Cx26 partial loss causes accelerated presbycusis by redox imbalance and dysregulation of Nfr2 pathway

Fetoni, A. R., Zorzi, V., Paciello, F., Ziraldo, G., Peres, C., Raspa, M., Scavizzi, F., Salvatore, A. M., Crispino, G., Tognola, G., et al. (2018) · Redox Biology · doi:10.1016/j.redox.2018.08.002 · Cited by 82

Maternal genome-wide DNA methylation profiling in gestational diabetes shows distinctive disease-associated changes relative to matched healthy pregnancies

Wu, P., Farrell, W. E., Haworth, K. E., Emes, R. D., Kitchen, M., Glossop, J. R., Hanna, F. W., & Fryer, A. A. (2016) · Epigenetics · doi:10.1080/15592294.2016.1166321 · Cited by 78

Post-polyploidisation morphotype diversification associates with gene copy number variation

Schießl, S., Hüettel, B., Kuehn, D., Reinhardt, R., & Snowdon, R. J. (2017) · Scientific Reports · doi:10.1038/srep41845 · Cited by 78

Genome-Wide Association Study Reveals Natural Variations Contributing to Drought Resistance in Crops

Wang, H., & Qin, F. (2017) · Frontiers in Plant Science · doi:10.3389/fpls.2017.01110 · Cited by 81

Evolution of invasiveness by genetic accommodation

Bock, D. G., Kantar, M. B., Caseys, C., Matthey‐Doret, R., & Rieseberg, L. H. (2018) · Nature Ecology & Evolution · doi:10.1038/s41559-018-0553-z · Cited by 78

Quality control, imputation and analysis of genome-wide genotyping data from the Illumina HumanCoreExome microarray

Coleman, J. R. I., Euesden, J., Patel, H., Folarin, A., Newhouse, S., & Breen, G. D. (2015) · Briefings in Functional Genomics · doi:10.1093/bfgp/elv037 · Cited by 85

Genome-Wide Analysis in German Shepherd Dogs Reveals Association of a Locus on CFA 27 with Atopic Dermatitis

Tengvall, K., Kierczak, M., Bergvall, K. E., Olsson, M., Frankowiack, M., Farias, F., Pielberg, G., Carlborg, Ö., Leeb, T., Andersson, G., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003475 · Cited by 77

Human cognitive ability is influenced by genetic variation in components of postsynaptic signalling complexes assembled by NMDA receptors and MAGUK proteins

Hill, W. D., Davies, G., van de Lagemaat, L. N., Christoforou, A., Marioni, R. E., Fernandes, C. P. D., Liewald, D. C. M., Croning, M. D. R., Payton, A., Craig, L. C. A., et al. (2014) · Translational Psychiatry · doi:10.1038/tp.2013.114 · Cited by 76

Single and Multi-trait GWAS Identify Genetic Factors Associated with Production Traits in Common Bean Under Abiotic Stress Environments.

Oladzad, A., Porch, T. G., Rosas, J. C., Moghaddam, S. M., Beaver, J. S., Beebe, S. E., Burridge, J., Jochua, C. N., Miguel, M. A., Miklas, P. N., et al. (2019) · PubMed Central · doi:10.1534/g3.119.400072 · Cited by 77

Automated AI labeling of optic nerve head enables insights into cross-ancestry glaucoma risk and genetic discovery in >280,000 images from UKB and CLSA

Han, X., Steven, K., Qassim, A., Marshall, H. N., Bean, C., Tremeer, M., An, J., Siggs, O. M., Gharahkhani, P., Craig, J. E., et al. (2021) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2021.05.005 · Cited by 79

Genome-Wide Association Study Identifies Variants at the IL18 -BCO2 Locus Associated With Interleukin-18 Levels

He, M., Cornelis, M. C., Kraft, P. L., van Dam, R. M., Sun, Q., Laurie, C. C., Mirel, D. B., Chasman, D. I., Ridker, P. M., Hunter, D. J., et al. (2010) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.109.199422 · Cited by 79

Uncovering Networks from Genome-Wide Association Studies via Circular Genomic Permutation

Cabrera, C., Navarro, P., Huffman, J. E., Wright, A. F., Hayward, C., Campbell, H. J., Wilson, J. F., Rudan, I., Hastie, N. D., Vitart, V., et al. (2012) · G3 Genes Genomes Genetics · doi:10.1534/g3.112.002618 · Cited by 77

Genome-Wide Association Study Identifies Genetic Loci Associated with Iron Deficiency

McLaren, C. E., Garner, C. P., Constantine, C. C., McLachlan, S., Vulpe, C. D., Snively, B. M., Gordeuk, V. R., Nickerson, D. A., Cook, J. D., Leiendecker‐Foster, C., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017390 · Cited by 77

Insight in Genome-Wide Association of Metabolite Quantitative Traits by Exome Sequence Analyses

Demirkan, A., Henneman, P., Verhoeven, A., Dharuri, H. K., Amin, N., van Klinken, J. B., Karssen, L. C., de Vries, B., Meissner, A., Göraler, S., et al. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1004835 · Cited by 77

Natural genetic variation of the cardiac transcriptome in non-diseased donors and patients with dilated cardiomyopathy

Heinig, M., Adriaens, M. E., Schäfer, S., van Deutekom, H. W. M., Lodder, E. M., Ware, J. S., Schneider-Lunitz, V., Felkin, L. E., Creemers, E. E., Meder, B., et al. (2017) · Genome biology · doi:10.1186/s13059-017-1286-z · Cited by 74

Discordant association of the CREBRF rs373863828 A allele with increased BMI and protection from type 2 diabetes in Māori and Pacific (Polynesian) people living in Aotearoa/New Zealand

Krishnan, M., Major, T. J., Topless, R., Dewes, O., Yu, L. H., Thompson, J., McCowan, L. M. E., de Zoysa, J., Stamp, L. K., Dalbeth, N., et al. (2018) · Diabetologia · doi:10.1007/s00125-018-4623-1 · Cited by 75

Genome-wide association analyses reveal significant loci and strong candidate genes for growth and fatness traits in two pig populations

Qiao, R., Gao, J., Zhang, Z., Li, L., Xie, X., Yin, F., Cui, L., Ma, J., Ai, H., Ren, J., et al. (2015) · Genetics Selection Evolution · doi:10.1186/s12711-015-0089-5 · Cited by 74

Japanese quail meat quality: Characteristics, heritabilities, and genetic correlations with some slaughter traits

Narinç, D., Aksoy, T., Karaman, E., Aygün, A., Fırat, M. Z., & Uslu, M. K. (2013) · Poultry Science · doi:10.3382/ps.2013-03075 · Cited by 74

Molecular quantitative genetics

Jensen, H., Szulkin, M., & Slate, J. (2014) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199674237.003.0013 · Cited by 72

The relative contribution of DNA methylation and genetic variants on protein biomarkers for human diseases

Ahsan, M., Ek, W. E., Rask‐Andersen, M., Karlsson, T., Lind-Thomsen, A., Enroth, S., Gyllensten, U., & Johansson, Å. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1007005 · Cited by 75

The role of local adaptation in sustainable production of village chickens

Bettridge, J., Psifidi, A., Terfa, Z., Desta, T. T., Lozano-Jaramillo, M., Dessie, T., Kaiser, P., Wigley, P., Hanotte, O., & Christley, R. (2018) · Nature Sustainability · doi:10.1038/s41893-018-0150-9 · Cited by 77

Copy number variation of CBF-A14 at the Fr-A2 locus determines frost tolerance in winter durum wheat

Sieber, A., Longin, C. F. H., Leiser, W. L., & Würschum, T. (2016) · Theoretical and Applied Genetics · doi:10.1007/s00122-016-2685-3 · Cited by 73

Genome wide association study and genomic prediction for fatty acid composition in Chinese Simmental beef cattle using high density SNP array

Zhu, B., Niu, H., Zhang, W., Wang, Z., Liang, Y., Guan, L., Guo, P., Chen, Y., Zhang, L., Guo, Y., et al. (2017) · BMC Genomics · doi:10.1186/s12864-017-3847-7 · Cited by 73

A Genome-Wide Association Study for Host Resistance to Ostreid Herpesvirus in Pacific Oysters ( Crassostrea gigas )

Gutiérrez, A. P., Bean, T. P., Hooper, C., Stenton, C. A., Sanders, M., Paley, R. K., Rastas, P. M. A., Bryrom, M., Matika, O., & Houston, R. D. (2018) · G3 Genes Genomes Genetics · doi:10.1534/g3.118.200113 · Cited by 73

Promoter capture Hi-C-based identification of recurrent noncoding mutations in colorectal cancer

Orlando, G., Law, P., Cornish, A. J., Dobbins, S. E., Chubb, D., Broderick, P., Litchfield, K., Hariri, F., Pastinen, T., Osborne, C. S., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0211-z · Cited by 74

Molecular insights into genome-wide association studies of chronic kidney disease-defining traits

Xu, X., Eales, J., Akbarov, A., Guo, H., Becker, L. K., Talavera, D., Ashraf, F., Nawaz, J., Pramanik, S., Bowes, J., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07260-4 · Cited by 73

Genome-wide association meta-analysis of nicotine metabolism and cigarette consumption measures in smokers of European descent

Buchwald, J., Chenoweth, M. J., Palviainen, T., Zhu, G., Benner, C., Gordon, S. D., Korhonen, T., Ripatti, S., Madden, P. A. F., Lehtimäki, T. J., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-0702-z · Cited by 72

A Genome-Wide Association Scan of RR and QT Interval Duration in 3 European Genetically Isolated Populations

Marroni, F., Pfeufer, A., Aulchenko, Y. S., Franklin, C. S., Isaacs, A. J., Pichler, I., Wild, S. H., Oostra, B. A., Wright, A. F., Campbell, H., et al. (2009) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.108.833806 · Cited by 72

Decreased expression of the satiety signal receptor CCKAR is responsible for increased growth and body weight during the domestication of chickens

Dunn, I., Meddle, S., Wilson, P. W., Wardle, C. A., Law, A. S., Bishop, V. R., Hindar, C., Robertson, G. W., Burt, D. W., Ellison, S. J., et al. (2013) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00580.2012 · Cited by 72

A Non-Synonymous HMGA2 Variant Decreases Height in Shetland Ponies and Other Small Horses

Frischknecht, M., Jagannathan, V., Plattet, P., Neuditschko, M., Signer‐Hasler, H., Bachmann, I., Pacholewska, A., Drögemüller, C., Dietschi, E., Flury, C., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0140749 · Cited by 74

Pedigree- and SNP-Associated Genetics and Recent Environment are the Major Contributors to Anthropometric and Cardiometabolic Trait Variation

Xia, C., Amador, C., Huffman, J. E., Trochet, H., Campbell, A., Porteous, D. J., Scotland, G., Hastie, N. D., Hayward, C., Vitart, V., et al. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1005804 · Cited by 69

Estimating the Glomerular Filtration Rate in the General Population Using Different Equations: Effects on Classification and Association

Pattaro, C., Riegler, P., Stifter, G., Modenese, M., Minelli, C., & Pramstaller, P. P. (2013) · Nephron Clinical Practice · doi:10.1159/000351043 · Cited by 69

Heterogeneity of genetic architecture of body size traits in a free‐living population

Bérénos, C., Ellis, P. A., Pilkington, J. G., Lee, S., Gratten, J., & Pemberton, J. M. (2015) · Molecular Ecology · doi:10.1111/mec.13146 · Cited by 70

Genome-wide association study of Alzheimer’s disease CSF biomarkers in the EMIF-AD Multimodal Biomarker Discovery dataset

Hong, S., Prokopenko, D., Dobričić, V., Kilpert, F., Bos, I., Vos, S. J. B., Tijms, B. M., Andréasson, U., Blennow, K., Vandenberghe, R. R., et al. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-01074-z · Cited by 66

GBS‐Based Genomic Selection for Pea Grain Yield under Severe Terminal Drought

Annicchiarico, P., Nazzicari, N., Pecetti, L., Romani, M., Ferrari, B., Wei, Y., & Brummer, E. C. (2017) · The Plant Genome · doi:10.3835/plantgenome2016.07.0072 · Cited by 72

Genetic variants in urinary bladder cancer: collective power of the “wimp SNPs”

Golka, K., Selinski, S., Lehmann, M., Blaszkewicz, M., Marchan, R., Ickstadt, K., Schwender, H. R., Bolt, H. M., & Hengstler, J. G. (2011) · Archives of Toxicology · doi:10.1007/s00204-011-0676-3 · Cited by 71

Genome-Wide Association Study to Identify the Genetic Determinants of Otitis Media Susceptibility in Childhood

Rye, M. S., Warrington, N. M., Scaman, E. S. H., Vijayasekaran, S., Coates, H. L. C., Anderson, D. R., Pennell, C. E., Blackwell, J. M., & Jamieson, S. E. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048215 · Cited by 70

Genome-Wide Association Analysis and Genomic Prediction of Mycobacterium avium Subspecies paratuberculosis Infection in US Jersey Cattle

Zare, Y., Shook, G. E., Collins, M. T., & Kirkpatrick, B. W. (2014) · PLoS ONE · doi:10.1371/journal.pone.0088380 · Cited by 70

Genetic Predictors of Fibrin D-Dimer Levels in Healthy Adults

Smith, N. L., Huffman, J. E., Strachan, D. P., Huang, J., Dehghan, A., Trompet, S., Lopez, L. M., Shin, S., Baumert, J., Vitart, V., et al. (2011) · Circulation · doi:10.1161/circulationaha.110.009480 · Cited by 69

Genome Wide Association Analysis Reveals New Production Trait Genes in a Male Duroc Population

Wang, K., Liu, D., Hernández‐Sánchez, J., Chen, J., Liu, C., Wu, Z., Fang, M., & Li, N. (2015) · PLoS ONE · doi:10.1371/journal.pone.0139207 · Cited by 70

Genome Scan for Genomic Regions and Genes Associated with Growth Trait in Pacific White Shrimp Litopeneaus vannamei

Yu, Y., Wang, Q., Zhang, Q., Luo, Z., Wang, Y., Zhang, X., Huang, H., Xiang, J., & Li, F. (2019) · Marine Biotechnology · doi:10.1007/s10126-019-09887-w · Cited by 70

Network inference from glycoproteomics data reveals new reactions in the IgG glycosylation pathway

Benedetti, E., Pučić‐Baković, M., Keser, T., Wahl, A., Hassinen, A., Yang, J., Liu, L., Trbojević‐Akmačić, I., Razdorov, G., Štambuk, J., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01525-0 · Cited by 68

Comprehensive analysis of coding variants highlights genetic complexity in developmental and epileptic encephalopathy

Takata, A., Nakashima, M., Saitsu, H., Mizuguchi, T., Mitsuhashi, S., Takahashi, Y., Okamoto, N., Osaka, H., Nakamura, K., Tohyama, J., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-10482-9 · Cited by 71

A comparison of Cox and logistic regression for use in genome-wide association studies of cohort and case-cohort design

on behalf of the EPIC-CVD Consortium, Staley, J. R., Jones, E., Kaptoge, S., Butterworth, A. S., Sweeting, M. J., Wood, A. M., & Howson, J. M. M. (2017) · European Journal of Human Genetics · doi:10.1038/ejhg.2017.78 · Cited by 58

The Multi-allelic Genetic Architecture of a Variance-Heterogeneity Locus for Molybdenum Concentration in Leaves Acts as a Source of Unexplained Additive Genetic Variance

Forsberg, S. K. G., Andreatta, M. E., Huang, X., Danku, J., Salt, D. E., & Carlborg, Ö. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005648 · Cited by 66

The genomic architecture of mastitis resistance in dairy sheep

Banos, G., Bramis, G., Bush, S. J., Clark, E. L., McCulloch, M., Smith, J., Schulze, G., Arsenos, G. I., Hume, D. A., & Psifidi, A. (2017) · BMC Genomics · doi:10.1186/s12864-017-3982-1 · Cited by 71

Selection on a small genomic region underpins differentiation in multiple color traits between two warbler species

Wang, S., Rohwer, S. A., de Zwaan, D. R., Toews, D. P. L., Lovette, I. J., Mackenzie, J., & Irwin, D. E. (2020) · Evolution Letters · doi:10.1002/evl3.198 · Cited by 68

Power analysis of transcriptome-wide association study: Implications for practical protocol choice

Cao, C., Ding, B., Li, Q., Kwok, D., Wu, J., & Long, Q. (2021) · PLoS Genetics · doi:10.1371/journal.pgen.1009405 · Cited by 64

Identification of single nucleotide polymorphism markers associated with bacterial cold water disease resistance and spleen size in rainbow trout

Liu, S., Vallejo, R. L., Palti, Y., Gao, G., Marancik, D. P., Hernández, Á. G., & Wiens, G. D. (2015) · Frontiers in Genetics · doi:10.3389/fgene.2015.00298 · Cited by 68

Association Analysis of Bitter Receptor Genes in Five Isolated Populations Identifies a Significant Correlation between TAS2R43 Variants and Coffee Liking

Pirastu, N., Kooyman, M., Traglia, M., Robino, A., Willems, S. M., Pistis, G., D’Adamo, P., Amin, N., D’Eustacchio, A., Navarini, L., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0092065 · Cited by 67

Genetic Loci Involved in Antibody Response to Mycobacterium avium ssp. paratuberculosis in Cattle

Minozzi, G., Buggiotti, L., Stella, A., Strozzi, F., Luini, M. V., & Williams, J. L. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011117 · Cited by 68

Single nucleotide polymorphisms for feed efficiency and performance in crossbred beef cattle

Abo-Ismail, M. K., Voort, G. V., Squires, J. J., Swanson, K. C., Mandell, I. B., Liao, X., Stothard, P., Moore, S. S., Plastow, G. S., & Miller, S. P. (2014) · BMC Genetics · doi:10.1186/1471-2156-15-14 · Cited by 68

Genetic architecture of fatty acid composition in the longissimus dorsi muscle revealed by genome-wide association studies on diverse pig populations

Zhang, W., Zhang, J., Cui, L., Ma, J., Chen, C., Ai, H., Xie, X., Lin, L., Xiao, S., Huang, L., et al. (2016) · Genetics Selection Evolution · doi:10.1186/s12711-016-0184-2 · Cited by 75

Genetic Association and Risk Scores in a Chronic Obstructive Pulmonary Disease Meta-analysis of 16,707 Subjects

Busch, R. S., Hobbs, B. D., Zhou, J. J., Castaldi, P. J., McGeachie, M. J., Hardin, M. E., Hawryłkiewicz, I., Śliwiński, P., Yim, J., Kim, W. J., et al. (2017) · American Journal of Respiratory Cell and Molecular Biology · doi:10.1165/rcmb.2016-0331oc · Cited by 68

Derivation and genome-wide association study of a principal component-based measure of heat tolerance in dairy cattle

Macciotta, N. P. P., Biffani, S., Bernabucci, U., Lacetera, N., Vitali, A., Ajmone‐Marsan, P., & Nardone, A. (2017) · Journal of Dairy Science · doi:10.3168/jds.2016-12249 · Cited by 68

Evolution of novel mimicry rings facilitated by adaptive introgression in tropical butterflies

Enciso‐Romero, J., Pardo‐Díaz, C., Martin, S. H., Arias, C. F., Linares, M., McMillan, W. O., Jiggins, C. D., & Salazar, C. A. (2017) · Molecular Ecology · doi:10.1111/mec.14277 · Cited by 66

JC Polyomavirus Infection Is Strongly Controlled by Human Leucocyte Antigen Class II Variants

Sundqvist, E., Buck, D., Warnke, C., Albrecht, E., Gieger, C., Khademi, M., Bomfim, I. L., Fogdell‐Hahn, A., Link, J., Alfredsson, L. S., et al. (2014) · PLoS Pathogens · doi:10.1371/journal.ppat.1004084 · Cited by 66

Unlocking new alleles for leaf rust resistance in the Vavilov wheat collection

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GenABEL: an R library for genorne-wide association analysis

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genome-wide association studies in R

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