HOPS: a quantitative score reveals pervasive horizontal pleiotropy in human genetic variation is driven by extreme polygenicity of human traits and diseases
Open accessPublished version of a preprint
Abstract
Horizontal pleiotropy, where one variant has independent effects on multiple traits, is important for our understanding of the genetic architecture of human phenotypes. We develop a method to quantify horizontal pleiotropy using genome-wide association summary statistics and apply it to 372 heritable phenotypes measured in 361,194 UK Biobank individuals. Horizontal pleiotropy is pervasive throughout the human genome, prominent among highly polygenic phenotypes, and enriched in active regulatory regions. Our results highlight the central role horizontal pleiotropy plays in the genetic architecture of human phenotypes. The HOrizontal Pleiotropy Score (HOPS) method is available on Github at https://github.com/rondolab/HOPS .
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?
Pleiotropy is pervasive, as uncovered through genome-wide association studies.
“However, the topic has received renewed attention, given the pervasiveness of pleiotropy that has been uncovered through genome-wide association studies (GWAS) [8–10].”
From Multi-trait association studies discover pleiotropic loci between Alzheimer’s disease and cardiometabolic traits (2021) · cites this paper as [9]
At some pleiotropic loci, there is no shared causal SNP; instead, different SNPs are causal for different traits.
“However, recent studies have shown that at some pleiotropic loci there is no shared causal SNP, but instead different SNPs are causal for the different traits. These loci are associated with multiple traits but there is no shared causal genetic variant behind the associations [9, 15].”
From Multi-trait association studies discover pleiotropic loci between Alzheimer’s disease and cardiometabolic traits (2021) · cites this paper as [9]
The Results (‘Defining pleiotropy’; page unavailable) define pleiotropy as one variant associated with multiple traits. The Methods (‘Genome-wide significant pleiotropy loci’; page unavailable) describe clustering linked variants, but neither passage establishes loci where different traits have different causal SNPs and no shared causal variant. Searches for distinct causal variants, colocalization, and linkage disequilibrium did not find that claim in our copy. (LLM, conf=0.73)
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
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890 · see citing works
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn923 · Cited by 14,108 · see citing works
Bowden, J., Davey Smith, G., & Burgess, S. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv080 · Cited by 9,816 · see citing works
Verbanck, M., Chen, C.-Y., Neale, B., & Do, R. (2018) · Nature Genetics · doi:10.1038/s41588-018-0099-7 · Cited by 8,591 · see citing works
Self-citationThe Ensembl Variant Effect Predictor
McLaren, W., Gil, L., Hunt, S. E., Riat, H. S., Ritchie, G. R. S., Thormann, A., Flicek, P., & Cunningham, F. (2016) · Genome Biology · doi:10.1186/s13059-016-0974-4 · Cited by 8,099 · see citing works
Biological insights from 108 schizophrenia-associated genetic loci
Schizophrenia Working Group of the Psychiatric Genomics Consortium (2014) · Nature · doi:10.1038/nature13595 · Cited by 7,577 · see citing works
LD Score regression distinguishes confounding from polygenicity in genome-wide association studies
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bulik-Sullivan, B. K., Loh, P.-R., Finucane, H. K., Ripke, S., Yang, J., Patterson, N., Daly, M. J., Price, A. L., & Neale, B. M. (2015) · Nature Genetics · doi:10.1038/ng.3211 · Cited by 5,559 · see citing works
Genetic studies of body mass index yield new insights for obesity biology
Study, T. L. C., Locke, A. E., The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The, G. L. G. C., The, I. C. B. P., The MAGIC Investigators, The MuTHER Consortium, et al. (2015) · Nature · doi:10.1038/nature14177 · Cited by 4,534 · see citing works
Meta-Analysis of 74,046 Individuals Identifies 11 New Susceptibility Loci for Alzheimer’s Disease
(EADI), E. A. D. I., Lambert, J.-C., (GERAD), G. A. E. R. I. A. D., Alzheimer's Disease Genetic Consortium (ADGC), (CHARGE), C. F. H. A. A. R. I. G. E., Ibrahim-Verbaas, C. A., Harold, D., Naj, A. C., Sims, R., Bellenguez, C., et al. (2013) · Nature Genetics · doi:10.1038/ng.2802 · Cited by 4,336 · see citing works
Genetic effects on gene expression across human tissues
GTEx Consortium (2017) · Nature · doi:10.1038/nature24277 · Cited by 4,036 · see citing works
(2013) · The Lancet · doi:10.1016/s0140-6736(12)62129-1 · Cited by 3,010 · see citing works
Willer (2013) · doi:10.1038/ng.2797 · Cited by 2,983 · see citing works
Self-citationAn Expanded View of Complex Traits: From Polygenic to Omnigenic
Boyle, E. A., Li, Y. I., & Pritchard, J. K. (2017) · Cell · doi:10.1016/j.cell.2017.05.038 · Cited by 2,851 · see citing works
Liu, J. Z., van Sommeren, S., Huang, H., Ng, S. C., Alberts, R., Takahashi, A., Ripke, S., Lee, J. C., Jostins, L., Shah, T., et al. (2015) · Nature Genetics · doi:10.1038/ng.3359 · Cited by 2,603 · see citing works
A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease
the CARDIoGRAMplusC4D Consortium (2015) · Nature Genetics · doi:10.1038/ng.3396 · Cited by 2,447 · see citing works
Genetics of rheumatoid arthritis contributes to biology and drug discovery
the RACI consortium, Okada, Y., the GARNET consortium, Wu, D., Trynka, G., Raj, T., Terao, C., Ikari, K., Kochi, Y., Ohmura, K., et al. (2014) · Nature · doi:10.1038/nature12873 · Cited by 2,310 · see citing works
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
DIAGRAM Consortium, Dupuis, J., GIANT Consortium, Global BPgen Consortium, Anders Hamsten on behalf of Procardis Consortium, the MAGIC investigators, Langenberg, C., Prokopenko, I., Saxena, R., Soranzo, N., et al. (2010) · Nature Genetics · doi:10.1038/ng.520 · Cited by 2,166 · see citing works
Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk
The International Consortium for Blood Pressure Genome-Wide Association Studies (2011) · Nature · doi:10.1038/nature10405 · Cited by 2,033 · see citing works
Burgess, S., Bowden, J., Fall, T., Ingelsson, E., & Thompson, S. G. (2017) · Epidemiology · doi:10.1097/ede.0000000000000559 · Cited by 2,017 · see citing works
the DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Morris, A. P., Voight, B. F., Teslovich, T. M., Ferreira, T., Segrè, A. V., Steinthorsdottir, V., Strawbridge, R. J., Khan, H., Grallert, H., et al. (2012) · Nature Genetics · doi:10.1038/ng.2383 · Cited by 1,912 · see citing works
The NIH Roadmap Epigenomics Mapping Consortium
Bernstein, B. E., Stamatoyannopoulos, J. A., Costello, J. F., Ren, B., Milosavljevic, A., Meissner, A., Kellis, M., Marra, M. A., Beaudet, A. L., Ecker, J. R., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt1010-1045 · Cited by 1,892 · see citing works
A framework for the investigation of pleiotropy in two‐sample summary data Mendelian randomization
Bowden, J., Del Greco M, F., Minelli, C., Davey Smith, G., Sheehan, N., & Thompson, J. (2017) · Statistics in Medicine · doi:10.1002/sim.7221 · Cited by 1,887 · see citing works
The Electronic Medical Records and Genomics (eMERGE) Consortium, Wood, A. R., The MIGen Consortium, The PAGE Consortium, Study, T. L. C., Esko, T., Yang, J., Vedantam, S., Pers, T. H., Gustafsson, S., et al. (2014) · Nature Genetics · doi:10.1038/ng.3097 · Cited by 1,853 · see citing works
Pierce, B. L., Ahsan, H., & VanderWeele, T. J. (2010) · International Journal of Epidemiology · doi:10.1093/ije/dyq151 · Cited by 1,837 · see citing works
New genetic loci link adipose and insulin biology to body fat distribution
The ADIPOGen Consortium, Shungin, D., The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The GEFOS Consortium, The GENIE Consortium, The, G. L. G. C., The, I. C. B. P., The International Endogene Consortium, Study, T. L. C., et al. (2015) · Nature · doi:10.1038/nature14132 · Cited by 1,580 · see citing works
An atlas of genetic influences on human blood metabolites
The Multiple Tissue Human Expression Resource (MuTHER) Consortium, Shin, S.-Y., Fauman, E. B., Petersen, A.-K., Krumsiek, J., Santos, R., Huang, J., Arnold, M., Erte, I., Forgetta, V., et al. (2014) · Nature Genetics · doi:10.1038/ng.2982 · Cited by 1,515 · see citing works
Zhou, W., Nielsen, J. B., Fritsche, L. G., Dey, R., Gabrielsen, M. E., Wolford, B. N., LeFaive, J., VandeHaar, P., Taliun, S. A. G., Gifford, A., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0184-y · Cited by 1,406 · see citing works
Psychiatric GWAS Consortium Bipolar Disorder Working Group, Sklar, P., Ripke, S., Scott, L. J., Andreassen, O. A., Cichon, S., Craddock, N., Edenberg, H. J., Nurnberger, J. I., Rietschel, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.943 · Cited by 1,344 · see citing works
Genome-wide association study identifies 74 loci associated with educational attainment
Okbay, A., Beauchamp, J. P., Fontana, M. A., Lee, J. J., Pers, T. H., Rietveld, C. A., Turley, P., Chen, G.-B., Emilsson, V., Meddens, S. F. W., et al. (2016) · Nature · doi:10.1038/nature17671 · Cited by 1,297 · see citing works
High-throughput discovery of novel developmental phenotypes
The International Mouse Phenotyping Consortium, Dickinson, M. E., Flenniken, A. M., Ji, X., Teboul, L., Wong, M. D., White, J. K., Meehan, T. F., Weninger, W. J., Westerberg, H., et al. (2016) · Nature · doi:10.1038/nature19356 · Cited by 1,196 · see citing works
Detection and interpretation of shared genetic influences on 42 human traits
Pickrell, J. K., Berisa, T., Liu, J. Z., Ségurel, L., Tung, J. Y., & Hinds, D. A. (2016) · Nature Genetics · doi:10.1038/ng.3570 · Cited by 1,151 · see citing works
A mega-analysis of genome-wide association studies for major depressive disorder
Major Depressive Disorder Working Group of the Psychiatric GWAS Consortium, Ripke, S., Wray, N. R., Lewis, C. M., Hamilton, S. P., Weissman, M. M., Breen, G., Byrne, E. M., Blackwood, D. H. R., Boomsma, D. I., et al. (2013) · Molecular Psychiatry · doi:10.1038/mp.2012.21 · Cited by 1,120 · see citing works
Genome-wide meta-analyses identify multiple loci associated with smoking behavior
The Tobacco and Genetics Consortium (2010) · Nature Genetics · doi:10.1038/ng.571 · Cited by 1,098 · see citing works
Pleiotropy in complex traits: challenges and strategies
Solovieff, N., Cotsapas, C., Lee, P. H., Purcell, S. M., & Smoller, J. W. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3461 · Cited by 1,085 · see citing works
Ference, B. A., Yoo, W., Alesh, I., Mahajan, N., Mirowska, K. K., Mewada, A., Kahn, J., Afonso, L., Williams, K. A., & Flack, J. M. (2012) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2012.09.017 · Cited by 898 · see citing works
Common variants associated with plasma triglycerides and risk for coronary artery disease
Do, R., Willer, C. J., Schmidt, E. M., Sengupta, S., Gao, C., Peloso, G. M., Gustafsson, S., Kanoni, S., Ganna, A., Chen, J., et al. (2013) · Nature Genetics · doi:10.1038/ng.2795 · Cited by 862 · see citing works
Self-citationCommon genetic variants influence human subcortical brain structures
Initiative, T. A. D. N., Hibar, D. P., The CHARGE Consortium, EPIGEN, IMAGEN, SYS, Stein, J. L., Renteria, M. E., Arias-Vasquez, A., Desrivières, S., et al. (2015) · Nature · doi:10.1038/nature14101 · Cited by 858 · see citing works
Genome-wide association analyses identify 18 new loci associated with serum urate concentrations
Study, L. C., Köttgen, A., Albrecht, E., Teumer, A., Vitart, V., Krumsiek, J., Hundertmark, C., Pistis, G., Ruggiero, D., O’Seaghdha, C. M., et al. (2012) · Nature Genetics · doi:10.1038/ng.2500 · Cited by 824 · see citing works
Scott, R. A., Lagou, V., Welch, R., Wheeler, E., Montasser, M. E., Luan, J., Mägi, R., Strawbridge, R. J., Rehnberg, E., Gustafsson, S., et al. (2012) · Nature Genetics · doi:10.1038/ng.2385 · Cited by 817 · see citing works
Kanai, M., Akiyama, M., Takahashi, A., Matoba, N., Momozawa, Y., Ikeda, M., Iwata, N., Ikegawa, S., Hirata, M., Matsuda, K., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0047-6 · Cited by 801 · see citing works
Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche
Study, A. O. C., Perry, J. R. B., The GENICA Network, kConFab, Study, T. L. C., The InterAct Consortium, Early Growth Genetics (EGG) Consortium, Day, F., Elks, C. E., Sulem, P., et al. (2014) · Nature · doi:10.1038/nature13545 · Cited by 604 · see citing works
A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease
Nikpay, M., Goel, A., Won, H., Hall, L. M., Willenborg, C., Kanoni, S., Saleheen, D., Kyriakou, T., Nelson, C. P., Hopewell, J. C., et al. (2015) · EUR Research Repository (Erasmus University Rotterdam) · Cited by 581 · see citing works
Abundant Pleiotropy in Human Complex Diseases and Traits
Sivakumaran, S., Agakov, F. V., Τheodoratou, E., Prendergast, J. G. D., Zgaga, L., Manolio, T. A., Rudan, I., McKeigue, P., Wilson, J. F., & Campbell, H. J. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.10.004 · Cited by 534 · see citing works
Trans effects on gene expression can drive omnigenic inheritance
Liu, X., Li, Y. I., & Pritchard, J. K. (2019) · Cell · doi:10.1016/j.cell.2019.04.014 · Cited by 523 · see citing works
Pattaro, C., Teumer, A., Gorski, M., Chu, A. Y., Li, M., Mijatovic, V., Garnaas, M., Tin, A., Sorice, R., Li, Y., et al. (2016) · Nature Communications · doi:10.1038/ncomms10023 · Cited by 514 · see citing works
Dehghan, A., Dupuis, J., Barbalić, M., Bis, J. C., Eiríksdóttir, G., Lu, C., Pellikka, N., Wallaschofski, H., Kettunen, J., Henneman, P., et al. (2011) · Circulation · doi:10.1161/circulationaha.110.948570 · Cited by 512 · see citing works
Genome-wide associations for birth weight and correlations with adult disease
Horikoshi, M., Beaumont, R. N., Day, F. R., Warrington, N. M., Kooijman, M. N., Fernandez-Tajes, J. J., Feenstra, B., van Zuydam, N. R., Gaulton, K. J., Grarup, N., et al. (2016) · Nature · doi:10.1038/nature19806 · Cited by 495 · see citing works
Dastani, Z., Hivert, M., Timpson, N. J., Perry, J. R. B., Yuan, X., Scott, R. A., Henneman, P., Heid, I. M., Kizer, J. R., Lyytikäinen, L., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002607 · Cited by 490 · see citing works
Meta-Analysis of Genome-Wide Association Studies of Attention-Deficit/Hyperactivity Disorder
Neale, B. M., Medland, S. E., Ripke, S., Asherson, P., Franke, B., Lesch, K.-P., Faraone, S. V., Nguyen, T. T., Schäfer, H., Holmans, P., et al. (2010) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2010.06.008 · Cited by 450 · see citing works
Dissecting the genetics of complex traits using summary association statistics
Paşaniuc, B., & Price, A. L. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.142 · Cited by 444 · see citing works
A genome-wide association meta-analysis identifies new childhood obesity loci
Bradfield, J. P., Abou‐Sleiman, P. M., Hakonarson, H. H., Grant, S. F. A., Taal, H. R., Mook‐Kanamori, D. O., Albert Hofman, D., van der Valk, R. J. P., de Jongste, J. C., Jaddoe, V. W. V., et al. (2012) · Nature Genetics · doi:10.1038/ng.2247 · Cited by 428 · see citing works
Paaby, A. B., & Rockman, M. V. (2012) · Trends in Genetics · doi:10.1016/j.tig.2012.10.010 · Cited by 423 · see citing works
Stolk, L., Perry, J. R. B., Chasman, D. I., He, C., Mangino, M., Sulem, P., Barbalić, M., Broer, L., Byrne, E. M., Ernst, F. D., et al. (2012) · Nature Genetics · doi:10.1038/ng.1051 · Cited by 367 · see citing works
Felix, J. F., Bradfield, J. P., Monnereau, C., van der Valk, R. J. P., Stergiakouli, E., Chesi, A., Gaillard, R., Feenstra, B., Thiering, E., Kreiner-Møller, E., et al. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddv472 · Cited by 343 · see citing works
Seventy-five genetic loci influencing the human red blood cell
van der Harst, P., Zhang, W., Leach, I. M., Rendon, A., Verweij, N., Sehmi, J., Paul, D. S., Elling, U., Allayee, H., Li, X., et al. (2012) · Nature · doi:10.1038/nature11677 · Cited by 306 · see citing works
Genomic patterns of pleiotropy and the evolution of complexity
Wang, Z., Liao, B., & Zhang, J. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1004666107 · Cited by 253 · see citing works
The meta-analysis of genome-wide association studies
Thompson, J. R., Attia, J., & Minelli, C. (2011) · Briefings in Bioinformatics · doi:10.1093/bib/bbr020 · Cited by 250 · see citing works
Cousminer, D. L., Berry, D. J., Timpson, N. J., Ang, W., Thiering, E., Byrne, E. M., Taal, H. R., Huikari, V., Bradfield, J. P., Kerkhof, M., et al. (2013) · Human Molecular Genetics · doi:10.1093/hmg/ddt104 · Cited by 209 · see citing works
Shadows of complexity: what biological networks reveal about epistasis and pleiotropy
Tyler, A. L., Asselbergs, F. W., Williams, S. M., & Moore, J. H. (2009) · BioEssays · doi:10.1002/bies.200800022 · Cited by 185 · see citing works
Manning, A. K., LaValley, M. P., Liu, C.-T., Rice, K. M., An, P., Liu, Y., Miljkovic, I., Rasmussen‐Torvik, L. J., Harris, T. B., Province, M. A., et al. (2010) · Genetic Epidemiology · doi:10.1002/gepi.20546 · Cited by 184 · see citing works
A Central Role for GRB10 in Regulation of Islet Function in Man
Prokopenko, I., Poon, W., Mägi, R., Prasad, R. B., Salehi, A. A., Almgren, P., Osmark, P., Bouatia‐Naji, N., Wierup, N., Fall, T., et al. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004235 · Cited by 174 · see citing works
Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche.
Perry, J. R. B., Day, F. R., Elks, C. E., Sulem, P., Thompson, D. J., Ferreira, T. C., He, C., Chasman, D. I., Esko, T., Þorleifsson, G., et al. (2014) · White Rose Research Online (University of Leeds, The University of Sheffield, University of York) · doi:10.17863/cam.17982 · Cited by 158 · see citing works
(1990) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.1990.0110 · Cited by 131 · see citing works
Common variants at 12q15 and 12q24 are associated with infant head circumference
Taal, H. R., Pourcain, B. S., Thiering, E., Das, S., Mook‐Kanamori, D. O., Warrington, N. M., Kaakinen, M., Kreiner‐Møller, E., Bradfield, J. P., Freathy, R. M., et al. (2012) · Nature Genetics · doi:10.1038/ng.2238 · Cited by 129 · see citing works
A novel common variant in DCST2 is associated with length in early life and height in adulthood
van der Valk, R. J. P., Kreiner‐Møller, E., Kooijman, M. N., Guxens, M., Stergiakouli, E., Sääf, A. M., Bradfield, J. P., Geller, F., Hayes, M. G., Cousminer, D. L., et al. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu510 · Cited by 121 · see citing works
The ubiquity of pleiotropy in human disease
Chesmore, K. N., Bartlett, J., & Williams, S. M. (2017) · Human Genetics · doi:10.1007/s00439-017-1854-z · Cited by 103 · see citing works
SCMD: Saccharomyces cerevisiae Morphological Database
Saito, T. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkh113 · Cited by 97 · see citing works
Using Multivariable Mendelian Randomization to Disentangle the Causal Effects of Lipid Fractions
Burgess, S., Freitag, D. F., Khan, H., Gorman, D. N., & Thompson, S. G. (2014) · PLoS ONE · doi:10.1371/journal.pone.0108891 · Cited by 95 · see citing works
Cousminer, D. L., Stergiakouli, E., Berry, D. J., Ang, W., Groen‐Blokhuis, M. M., Körner, A., Siitonen, N., Ντάλλα, Ι., Marinelli, M., Perry, J. R. B., et al. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu150 · Cited by 92 · see citing works
Stolk, L., Perry, J. R. B., Chasman, D. I., He, C., Mangino, M., Sulem, P., Barbalić, M., Broer, L., Byrne, E. M., Ernst, F. D., et al. (2012) · Maynooth University ePrints and eTheses Archive (Maynooth University) · doi:10.17615/zbd7-6y55 · Cited by 78 · see citing works
Investigation of a cell strain with trisomy 14 from a spontaneously aborted human fetus
Kuliev, A., Kukharenko, V. I., Grinberg, K. N., Terskikh, V. V., Tamarkina, A. D., Bogomazov, E. A., Redkin, P. S., & Vasileysky, S. S. (1974) · Human Genetics · doi:10.1007/bf00278558 · Cited by 14 · see citing works
Socrates, A., Bond, T. A., Karhunen, V., AUVINEN, J. P., Rietveld, C. A., Veijola, J. M., Järvelin, M., & O’Reilly, P. F. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/203257 · Cited by 12 · see citing works
Discovering patterns of pleiotropy in genome-wide association studiesPreprint
Zhana, J., CHARGE ECG Working Group, van Setten, J., Brody, J. A., Swenson, B. R., Butler, A. M., Campbell, H., Fabiola Del Greco, M., Evans, D. S., Gibson, Q., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/273540 · Cited by 4 · see citing works
rondolab/HOPS: PublicationPaper
Laboratory, R. D. (2019) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.3462162 · Cited by 2 · see citing works
Flagged first, then by citations
1 of the 75 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
The GTEx Consortium atlas of genetic regulatory effects across human tissues
The GTEx Consortium, Aguet, F., Anand, S., Ardlie, K. G., Gabriel, S., Getz, G. A., Graubert, A., Hadley, K., Handsaker, R. E., Huang, K. H., et al. (2020) · Science · doi:10.1126/science.aaz1776 · Cited by 5,547 · see citing works
Genome-wide association studies
Uffelmann, E., Huang, Q. Q., Munung, N. S., de Vries, J., Okada, Y., Martin, A. R., Martin, H. C., Lappalainen, T., & Posthuma, D. (2021) · Nature Reviews Methods Primers · doi:10.1038/s43586-021-00056-9 · Cited by 1,849 · see citing works
Pleiotropy and Cross-Disorder Genetics Among Psychiatric Disorders
Lee, P. H., Feng, Y. A., & Smoller, J. W. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.09.026 · Cited by 153 · see citing works
Yuan, Z., Zhu, H., Zeng, P., Yang, S., Sun, S., Yang, C., Liu, J., & Zhou, X. (2020) · Nature Communications · doi:10.1038/s41467-020-17668-6 · Cited by 134 · see citing works
Hu, X., Zhao, J., Lin, Z., Wang, Y., Peng, H., Zhao, H., Wan, X., & Yang, C. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2106858119 · Cited by 128 · see citing works
PhenomeXcan: Mapping the genome to the phenome through the transcriptome
Pividori, M., Rajagopal, P. S., Barbeira, A., Liang, Y., Melia, O., Bastarache, L. A., Park, Y., Wen, X., & Im, H. K. (2020) · Science Advances · doi:10.1126/sciadv.aba2083 · Cited by 115 · see citing works
Adaptive sequence divergence forged new neurodevelopmental enhancers in humans
Mangan, R. J., Alsina, F. C., Mosti, F., Sotelo-Fonseca, J. E., Snellings, D. A., Au, E. H., Carvalho, J., Sathyan, L., Johnson, G. D., Reddy, T. E., et al. (2022) · Cell · doi:10.1016/j.cell.2022.10.016 · Cited by 111 · see citing works
Darrous, L., Mounier, N., & Kutalik, Z. (2021) · Nature Communications · doi:10.1038/s41467-021-26970-w · Cited by 92 · see citing works
Pouget, J. G., Han, B., Wu, Y., Mignot, E. J.-M., Ollila, H. M., Barker, J., Spain, S. L., Dand, N., Trembath, R. C., Martin, J. J., et al. (2019) · Human Molecular Genetics · doi:10.1093/hmg/ddz145 · Cited by 91 · see citing works
Two‐Sample Multivariable Mendelian Randomization Analysis Using R
Rasooly, D., & Peloso, G. M. (2021) · Current Protocols · doi:10.1002/cpz1.335 · Cited by 81 · see citing works
Chebib, J., & Guillaume, F. (2021) · Genetics · doi:10.1093/genetics/iyab159 · Cited by 73 · see citing works
Mendelian randomization and pleiotropy analysis
Zhu, X. (2020) · Quantitative Biology · doi:10.1007/s40484-020-0216-3 · Cited by 66 · see citing works
Strengthening Causal Inference for Complex Disease Using Molecular Quantitative Trait Loci
Neumeyer, S., Hemani, G., & Zeggini, E. (2019) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2019.10.004 · Cited by 53 · see citing works
Association of Economic Status and Educational Attainment With Posttraumatic Stress Disorder
Polimanti, R. A., Ratanatharathorn, A. D., Maihofer, A. X., Choi, K. W., Stein, M. B., Morey, R. A., Logue, M. W., Nievergelt, C. M., Stein, D. J., Koenen, K. C., et al. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.3447 · Cited by 51 · see citing works
Zhu, X., Li, X., Xu, R., & Wang, T. (2020) · Bioinformatics · doi:10.1093/bioinformatics/btaa985 · Cited by 41 · see citing works
Program, T. V. M. V., Bone, W. P., Siewert, K. M., Jha, A., Klarin, D., Damrauer, S. M., Chang, K.-M., Tsao, P. S., Assimes, T. L., Ritchie, M. D., et al. (2021) · Alzheimer's Research & Therapy · doi:10.1186/s13195-021-00773-z · Cited by 41 · see citing works
Shikov, A. E., Skitchenko, R. K., Predeus, A. V., & Barbitoff, Y. A. (2020) · Scientific Reports · doi:10.1038/s41598-020-58040-4 · Cited by 35 · see citing works
Koch, E. M., Connally, N. J., Baya, N. A., Reeve, M. P., Daly, M. J., Neale, B. M., Lander, E. S., Bloemendal, A., & Sunyaev, S. R. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.19.599789 · Cited by 34 · see citing works
Xiang, R., van den Berg, I., MacLeod, I. M., Daetwyler, H. D., & Goddard, M. E. (2020) · Communications Biology · doi:10.1038/s42003-020-0823-6 · Cited by 35 · see citing works
Genetic basis to structural grey matter associations with chronic pain
Farrell, S. F., Campos, A. I., Kho, P. F., de Zoete, R. M. J., Sterling, M. M., Rentería, M. E., Ngô, T. T., & Cuéllar-Partida, G. (2021) · Brain · doi:10.1093/brain/awab334 · Cited by 30 · see citing works
MR-DoC2: Bidirectional Causal Modeling with Instrumental Variables and Data from Relatives
Castro-de-Araujo, L. F. S., Singh, M., Zhou, Y., Vinh, P., Verhulst, B., Dolan, C. V., & Neale, M. C. (2022) · Behavior Genetics · doi:10.1007/s10519-022-10122-x · Cited by 29 · see citing works
Unveiling recent and ongoing adaptive selection in human populations
Gao, Z. (2024) · PLoS Biology · doi:10.1371/journal.pbio.3002469 · Cited by 24 · see citing works
The goldmine of GWAS summary statistics: a systematic review of methods and tools
Kontou, P. I., & Bagos, P. G. (2024) · BioData Mining · doi:10.1186/s13040-024-00385-x · Cited by 21 · see citing works
von Berg, J., ten Dam, M., van der Laan, S. W., & de Ridder, J. (2022) · Bioinformatics · doi:10.1093/bioinformatics/btac228 · Cited by 19 · see citing works
Qi, G., Chhetri, S. B., Ray, D., Dutta, D., Battle, A. J., Bhattacharjee, S., & Chatterjee, N. (2024) · Nature Communications · doi:10.1038/s41467-024-51075-5 · Cited by 20 · see citing works
Mbutiwi, F. I. N., Dessy, T., & Sylvestre, M. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.803238 · Cited by 17 · see citing works
Genetic impact of blood C-reactive protein levels on chronic spinal & widespread pain
Farrell, S. F., Sterling, M. M., Klyne, D. M., Mustafa, S., Campos, A. I., Kho, P. F., Lundberg, M., Rentería, M. E., Ngô, T. T., & Cuéllar-Partida, G. (2023) · European Spine Journal · doi:10.1007/s00586-023-07711-7 · Cited by 17 · see citing works
Detection of loci exhibiting pleiotropic effects on body weight and egg number in female broilers
Tarsani, E., Kranis, A., Maniatis, G., Hager-Theodorides, A. L., & Kominakis, A. P. (2021) · Scientific Reports · doi:10.1038/s41598-021-86817-8 · Cited by 17 · see citing works
Maintenance of Complex Trait Variation: Classic Theory and Modern Data
Koch, E. M., & Sunyaev, S. R. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.763363 · Cited by 17 · see citing works
Leveraging pleiotropy for the improved treatment of psychiatric disorders
Woodward, D. J., Thorp, J. G., Middeldorp, C. M., Akóṣílè, W., Derks, E. M., & Gerring, Z. F. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02771-7 · Cited by 15 · see citing works
McGuirl, M. R., Smith, S. P., Sandstede, B., & Ramachandran, S. (2020) · Genetics · doi:10.1534/genetics.120.303096 · Cited by 14 · see citing works
Functional Determinants and Evolutionary Consequences of Pleiotropy in Complex and Mendelian Traits
Barbitoff, Y. A., Богайчук, П., Pavlova, N. S., Malysheva, P. V., & Predeus, A. V. (2025) · Molecular Biology and Evolution · doi:10.1093/molbev/msaf232 · Cited by 15 · see citing works
Elucidating the patterns of pleiotropy and its biological relevance in maize
Khaipho-Burch, M., Ferebee, T. H., Giri, A., Ramstein, G. P., Monier, B., Yi, E., Romay, M. C., & Buckler, E. S. (2023) · PLoS Genetics · doi:10.1371/journal.pgen.1010664 · Cited by 12 · see citing works
Commentary: Mendelian randomization and education–Challenges remain
McMartin, A., & Conley, D. (2020) · International Journal of Epidemiology · doi:10.1093/ije/dyaa160 · Cited by 12 · see citing works
Cocoş, R., & Popescu, B. O. (2024) · Human Genomics · doi:10.1186/s40246-024-00704-7 · Cited by 14 · see citing works
Linking common and rare disease genetics through gene regulatory networksPreprint
Bakker, O. B., Claringbould, A., Westra, H.-J., Wiersma, H. H., Boulogne, F., Võsa, U., Symmons, S. M., Jonkers, I. H., Franke, L., & Deelen, P. (2021) · medRxiv · doi:10.1101/2021.10.21.21265342 · Cited by 11 · see citing works
Xiang, R., Fang, L., Liu, S., Liu, G. E., Tenesa, A., Gao, Y., Mason, B., Chamberlain, A. J., Goddard, M. E., Liu, S., et al. (2025) · PNAS Nexus · doi:10.1093/pnasnexus/pgaf208 · Cited by 10 · see citing works
Novo, I., López‐Cortegano, E., & Caballero, A. (2021) · Human Genetics · doi:10.1007/s00439-021-02308-w · Cited by 10 · see citing works
White Matter Integrity and Nicotine Dependence: Evaluating Vertical and Horizontal Pleiotropy
Ye, Z., Mo, C., Liu, S., Hatch, K. S., Gao, S., Ma, Y., Hong, L. E., Thompson, P. M., Jahanshad, N., Acheson, A., et al. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.738037 · Cited by 10 · see citing works
Tang, B., Lin, N., Liang, J., Yi, G., Zhang, L., Peng, W., Xue, C., Jiang, H., & Li, M. (2025) · Nature Communications · doi:10.1038/s41467-025-57912-5 · Cited by 9 · see citing works
Overlapping-sample Mendelian randomisation with multiple exposures: a Bayesian approach
Zou, L., Guo, H., & Berzuini, C. (2020) · BMC Medical Research Methodology · doi:10.1186/s12874-020-01170-0 · Cited by 9 · see citing works
Phenome-wide Mendelian randomization study of plasma triglyceride levels and 2600 disease traits
Park, J. K., Bafna, S., Forrest, I. S., Duffy, Á., Márquez‐Luna, C., Petrazzini, B. O., Vy, H. M. T., Jordan, D. M., Verbanck, M., Narula, J., et al. (2023) · eLife · doi:10.7554/elife.80560 · Cited by 9 · see citing works
Self-citationDoyle, A. E., Bearden, C. E., Gur, R. E., Ledbetter, D. H., Martin, C. L., McCoy, T. H., Paşaniuc, B., Perlis, R. H., Smoller, J. W., & Davis, L. K. (2024) · Biological Psychiatry · doi:10.1016/j.biopsych.2024.10.006 · Cited by 8 · see citing works
Xiang, R., Ben-Eghan, C., Liu, Y., Roberts, D., Ritchie, S., Lambert, S., Xu, Y., Takeuchi, F., & Inouye, M. (2025) · Nature Communications · doi:10.1038/s41467-025-59525-4 · Cited by 5 · see citing works
Dissecting pleiotropy to gain mechanistic insights into human disease
Jee, Y. H., He, Y., Lu, W., Shi, Y., Lazarev, D., Daly, M. J., Reeve, M. P., & Martin, A. R. (2025) · Nature Reviews Genetics · doi:10.1038/s41576-025-00908-0 · Cited by 8 · see citing works
Discovering informative biomarkers in psychiatry
Tamminga, C. A. (2023) · World Psychiatry · doi:10.1002/wps.21084 · Cited by 8 · see citing works
Total genetic contribution assessment across the human genome
Li, T., Zheng, N., Yang, Z., Zhai, R., Zheng, C., Xu, W., Wang, Y., Ying, K., Chen, Y., & Shen, X. (2021) · Nature Communications · doi:10.1038/s41467-021-23124-w · Cited by 8 · see citing works
Measurement Error and Power in Family-Based Extensions to Mendelian Randomization
Castro-de-Araujo, L. F. S., Singh, M., Zhou, Y., Vinh, P., Maes, H. H., Verhulst, B., Dolan, C. V., & Neale, M. C. (2025) · Behavior Genetics · doi:10.1007/s10519-025-10236-y · Cited by 7 · see citing works
Apolipoprotein L1, Cardiovascular Disease and Hypertension
Patel, N., & Nadkarni, G. N. (2019) · Cardiology Clinics · doi:10.1016/j.ccl.2019.04.009 · Cited by 5 · see citing works
Senko, A. N., Overall, R. W., Šilhavý, J., Mlejnek, P., Malínská, H., Hüttl, M., Marková, I., Fabel, K., Lu, L., Stuchlı́k, A., et al. (2022) · PLoS Genetics · doi:10.1371/journal.pgen.1009638 · Cited by 5 · see citing works
The Genetic Architecture of Human Infectious Diseases and Pathogen-Induced Cellular PhenotypesPreprint
Hale, A. T., Zhou, D., Sale, R. L., Bastarache, L. A., Wang, L., Zinkel, S. S., Schiff, S. J., Ko, D. C., & Gamazon, E. R. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3707276 · Cited by 5 · see citing works
González, A., & Paul, P. (2024) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2024.11.019 · Cited by 4 · see citing works
Tournaire, M., Nouira, A., Moiron, M. F., Rozenholc, Y., & Verbanck, M. (2024) · medRxiv · doi:10.1101/2024.06.01.24308193 · Cited by 3 · see citing works
Self-citationOmdahl, A., Weinstock, J., Keener, R., Chhetri, S. B., Arvanitis, M., & Battle, A. (2025) · American Journal of Human Genetics · doi:10.1016/j.ajhg.2025.07.003 · Cited by 2 · see citing works
DrFARM: identification of pleiotropic genetic variants in genome-wide association studies
Chan, L. S., Li, G., Fauman, E. B., Yin, X., Laakso, M., Boehnke, M., & Song, P. X. ‐. (2025) · Nature Communications · doi:10.1038/s41467-025-60439-4 · Cited by 2 · see citing works
ADHD and Student Grades in Children from the ABCD Study®: A Twin and Siblings Study
Castro-de-Araujo, L. F. S., Zhou, D., Su, M., Kramer, S., Loughnan, R. J., & Neale, M. C. (2026) · Behavior Genetics · doi:10.1007/s10519-026-10274-0 · Cited by 2 · see citing works
Fisch, G. S. (2021) · Genetica · doi:10.1007/s10709-021-00138-2 · Cited by 2 · see citing works
Muesli Intake May Protect Against Coronary Artery Disease
Park, J. K., Petrazzini, B. O., Bafna, S., Duffy, Á., Forrest, I. S., Vy, H. M. T., Márquez‐Luna, C., Verbanck, M., Narula, J., Rosenson, R. S., et al. (2024) · JACC Advances · doi:10.1016/j.jacadv.2024.100888 · Cited by 2 · see citing works
Self-citationMendelian randomization and Parkinson’s disease
Sanyaolu, A. O., Mohamed, W., Makarious, M. B., August, J. L., Kekenadze, M., Heilbron, K., Periñán, M. T., Noyce, A. J., & Bandrés‐Ciga, S. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13550-7.00006-9 · Cited by 1 · see citing works
Exploring the Genetic Overlap Between Metabolic Traits and Anorexia Nervosa
Adams, D. M., & Cairns, M. J. (2025) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2025.100678 · Cited by 1 · see citing works
Elusive vehicles of genetic representation
Kõiv, R. (2020) · Biology & Philosophy · doi:10.1007/s10539-020-9741-8 · Cited by 1 · see citing works
Xiang, R., Liu, Y., Ben-Eghan, C., Ritchie, S. C., Lambert, S. A., Xu, Y., Takeuchi, F., & Inouye, M. (2024) · medRxiv · doi:10.1101/2024.04.15.24305830 · Cited by 1 · see citing works
Widespread natural selection on metabolite levels in humansPreprint
Timasheva, Y., Lepik, K., Liska, O., Papp, B., & Kutalik, Z. (2024) · Genome Research · doi:10.1101/gr.278756.123 · Cited by 1 · see citing works
Omdahl, A. R., Weinstock, J. S., Keener, R., Chhetri, S. B., Arvanitis, M., & Battle, A. J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.12.623313 · Cited by 1 · see citing works
Ye, Z., Mo, C., Hatch, K. S., Liu, S., Gao, S., Hong, E. L., Kochunov, P. V., Chen, S., & Ma, T. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.12.09.417899
Grzyb, A. N., Overall, R. W., Šilhavý, J., Mlejnek, P., Malínská, H., Hüttl, M., Marková, I., Fabel, K. S., Lu, L., Stuchlı́k, A., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.06.04.447058
von Berg, J. (2022) · doi:10.33540/587
Maternal genetic liability for neuroticism and breastfeeding intention, initiation and maintenance
Braithwaite, E., Campbell, A., Fraser, H., Wright, N., Hearn, J. H., McGahan, J., Bowes, L., Kwong, A. S. F., Sallis, H., & Pearson, R. M. (2026) · BJPsych Open · doi:10.1192/bjo.2026.12046
Teng, H., Yu, J., Zhou, H., & Li, F. (2025) · Journal of Taibah University for Science · doi:10.1080/16583655.2025.2484879
The Omnicausal Model Reveals the Highly Polyfactorial Nature of Complex Diseases
Márquez‐Luna, C., Tournaire, M., Rocheleau, G., Do, R., & Verbanck, M. (2026) · Genetic Epidemiology · doi:10.1002/gepi.70052
Self-citationBone, W. P., Siewert, K. M., Jha, A., Klarin, D. M., Damrauer, S. M., Chang, K.-M., Tsao, P. S., Assimes, T. L., Ritchie, M. D., & Voight, B. F. (2021) · Figshare · doi:10.6084/m9.figshare.13719193
Dissecting Alzheimer’s disease heterogeneity by cross-trait polygenic predictionPreprint
Li, W. F., Mohammed, N., Bennett, D. A. A., Kellis, M., & Tanigawa, Y. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.15.725551
Sequence-to-function deep learning decodes human cis -regulatory evolutionPreprint
Mangan, R. J., Thoduguli, N., Ivanov, D., Li, B., Vasudev, K., Zeerow, T., Shankar, J., Lin, Y., Liu, Z., Wohlwend, M., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.08.24.746818 · Cited by 1 · see citing works
- Authors
- Jordan, D. M., Verbanck, M., & Do, R.
- Affiliations
- Icahn School of Medicine at Mount Sinai (US)
- Université Paris Cité (FR)
- Corresponding author
- Do, Ron
- Venue
- Genome Biology
- Published
- 2019-10-25
- Volume
- 20
- Issue
- 1
- Pages
- 222-222
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- PMC
- PMC6815001
- OpenAlex
- W2981563631
- Cited by
- 73
- References
- 75
- Citations by year
- 2026: 5 · 2025: 10 · 2024: 14 · 2023: 4 · 2022: 7 · 2021: 15 · 2020: 14 · 2019: 4
- FWCI
- 6.03
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Genome biology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Institute of General Medical Sciences (R35GM124836)
- National Heart, Lung, and Blood Institute (R01HL139865, T32HL00782)
- American Heart Association (15CVGPSD27130014)
- Topics
- 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
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- horizontal pleiotropy, polygenic traits, genetic architecture, regulatory elements, genetic variants, UK Biobank, genome-wide association summary statistics
- MeSH terms
- Humans, Genetic Variation, Genome, Human, Multifactorial Inheritance, Genomics, Genome-Wide Association Study, Genetic Pleiotropy
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