Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits.
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Abstract
Genome-wide association studies (GWAS) have identified thousands of variants associated with complex traits, but their biological interpretation often remains unclear. Most of these variants overlap with expression QTLs, indicating their potential involvement in regulation of gene expression. Here, we propose a transcriptome-wide summary statistics-based Mendelian Randomization approach (TWMR) that uses multiple SNPs as instruments and multiple gene expression traits as exposures, simultaneously. Applied to 43 human phenotypes, it uncovers 3,913 putatively causal gene-trait associations, 36% of which have no genome-wide significant SNP nearby in previous GWAS. Using independent association summary statistics, we find that the majority of these loci were missed by GWAS due to power issues. Noteworthy among these links is educational attainment-associated BSCL2, known to carry mutations leading to a Mendelian form of encephalopathy. We also find pleiotropic causal effects suggestive of mechanistic connections. TWMR better accounts for pleiotropy and has the potential to identify biological mechanisms underlying complex traits.
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The median-based method assumes that less than half of the variants are invalid instruments (majority valid assumption).
“Specifically, the median-based method assumes that less than half of the variants are invalid instruments (majority valid assumption)”
From Guidelines for performing Mendelian randomization investigations (2020) · cites this paper as [92]
The mode-based method assumes more variants estimate the true causal effect than estimate any other quantity (plurality valid assumption).
“and the mode-based method assumes more variants estimate the true causal effect than estimate any other quantity (plurality valid assumption).”
From Guidelines for performing Mendelian randomization investigations (2020) · cites this paper as [92]
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Bowden, J., Davey Smith, G., & Burgess, S. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv080 · Cited by 9,816 · see citing works
Bowden, J., Davey Smith, G., Haycock, P. C., & Burgess, S. (2016) · Genetic Epidemiology · doi:10.1002/gepi.21965 · Cited by 8,922 · 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
The MR-Base platform supports systematic causal inference across the human phenome
Hemani, G., Zheng, J., Elsworth, B., Wade, K. H., Haberland, V., Baird, D., Laurin, C., Burgess, S., Bowden, J., Langdon, R., et al. (2018) · eLife · doi:10.7554/elife.34408 · Cited by 7,959 · see citing works
Self-citationA map of human genome variation from population-scale sequencing.
The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877 · see citing works
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
Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data
Burgess, S., Butterworth, A., & Thompson, S. G. (2013) · Genetic Epidemiology · doi:10.1002/gepi.21758 · Cited by 6,050 · see citing works
Davey Smith, G., & Ebrahim, S. (2003) · International Journal of Epidemiology · doi:10.1093/ije/dyg070 · Cited by 5,882 · see citing works
An atlas of genetic correlations across human diseases and traits
ReproGen Consortium, Bulik-Sullivan, B., Psychiatric Genomics Consortium, Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case Control Consortium 3, Finucane, H. K., Anttila, V., Gusev, A., Day, F. R., Loh, P.-R., Duncan, L., et al. (2015) · Nature Genetics · doi:10.1038/ng.3406 · Cited by 4,255 · 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
Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption
Hartwig, F. P., Davey Smith, G., & Bowden, J. (2017) · International Journal of Epidemiology · doi:10.1093/ije/dyx102 · Cited by 3,485 · see citing works
Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets
Zhu, Z., Zhang, F., Hu, H., Bakshi, A., Robinson, M. R., Powell, J. E., Montgomery, G. W., Goddard, M. E., Wray, N. R., Visscher, P. M., et al. (2016) · Nature Genetics · doi:10.1038/ng.3538 · Cited by 3,352 · see citing works
Self-citationUnraveling the polygenic architecture of complex traits using blood eQTL metaanalysis
Võsa, U., Claringbould, A., Westra, H.-J., Bonder, M. J., Deelen, P., Zeng, B., Kirsten, H., Saha, A., Kreuzhuber, R., Kasela, S., et al. (2018) · doi:10.1101/447367 · Cited by 2,607 · cited 11× · see citing works
“Cis-eQTL data were obtained from the eQTLGen Consortium (31,684 whole blood samples) and the GTEx29, which includes 48 tissues collected from 11,688 post-mortem biopsies from 635 individuals (see Supplementary Table 2 for sample size per tissue).”
MethodInfluentialSelf-citationVõsa, U., Claringbould, A., Westra, H.-J., Bonder, M. J., Deelen, P., Zeng, B., Kirsten, H., Saha, A., Kreuzhuber, R., Yazar, S., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00913-z · Cited by 2,607 · see citing works
Self-citationIntegrative approaches for large-scale transcriptome-wide association studies
Gusev, A., Ko, A., Shi, H., Bhatia, G., Chung, W., Penninx, B. W. J. H., Jansen, R., de Geus, E. J. C., Boomsma, D. I., Wright, F. A., et al. (2016) · Nature Genetics · doi:10.1038/ng.3506 · Cited by 2,479 · see citing works
Self-citationThe new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog)
MacArthur, J., Bowler, E., Cerezo, M., Gil, L., Hall, P., Hastings, E., Junkins, H., McMahon, A., Milano, A., Morales, J., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw1133 · Cited by 2,161 · 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
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
Self-citationCalculating statistical power in Mendelian randomization studies.
Brion, M.-J. A., Shakhbazov, K., & Visscher, P. M. (2013) · International Journal of Epidemiology · doi:10.1093/ije/dyt179 · Cited by 1,751 · see citing works
Self-citationA review of instrumental variable estimators for Mendelian randomization
Burgess, S., Small, D. S., & Thompson, S. G. (2015) · Statistical Methods in Medical Research · doi:10.1177/0962280215597579 · Cited by 1,749 · see citing works
Genetic Investigation of ANthropometric Traits (GIANT) Consortium, Yang, J., DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Ferreira, T., Morris, A. P., Medland, S. E., Madden, P. A. F., Heath, A. C., Martin, N. G., Montgomery, G. W., et al. (2012) · Nature Genetics · doi:10.1038/ng.2213 · Cited by 1,712 · see citing works
Self-citationDetecting pleiotropy in Mendelian randomisation studies with summary data and a continuous outcome
Greco M, F. D., Minelli, C., Sheehan, N. A., & Thompson, J. R. (2015) · Statistics in Medicine · doi:10.1002/sim.6522 · Cited by 1,700 · see citing works
Systematic identification of trans eQTLs as putative drivers of known disease associations
Westra, H.-J., Peters, M. J., Esko, T., Yaghootkar, H., Schurmann, C., Kettunen, J., Christiansen, M. W., Fairfax, B. P., Schramm, K., Powell, J. E., et al. (2013) · Nature Genetics · doi:10.1038/ng.2756 · Cited by 1,658 · see citing works
Self-citationBurgess, S., & Thompson, S. G. (2015) · American Journal of Epidemiology · doi:10.1093/aje/kwu283 · Cited by 1,605 · see citing works
Pierce, B. L., & Burgess, S. (2013) · American Journal of Epidemiology · doi:10.1093/aje/kwt084 · Cited by 1,389 · see citing works
Self-citation<i>FTO</i> Obesity Variant Circuitry and Adipocyte Browning in Humans
Claussnitzer, M., Dankel, S. N., Kim, K.-H., Quon, G., Meuleman, W., Haugen, C., Glunk, V., Sousa, I. S., Beaudry, J. L., Puviindran, V., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1502214 · Cited by 1,332 · see citing works
Trait-associated SNPs are more likely to be eQTLs: annotation to enhance discovery from GWAS
Nicolae, D. L., Gamazon, E., Zhang, W., Duan, S., Dolan, M. E., & Cox, N. J. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000888 · Cited by 1,292 · see citing works
Burgess, S., Dudbridge, F., & Thompson, S. G. (2016) · Statistics in Medicine · doi:10.1002/sim.6835 · Cited by 1,153 · see citing works
From noncoding variant to phenotype via SORT1 at the 1p13 cholesterol locus
Musunuru, K., Strong, A., Frank-Kamenetsky, M., Lee, N. E., Ahfeldt, T., Sachs, K. V., Li, X., Li, H., Kuperwasser, N., Ruda, V. M., et al. (2010) · Nature · doi:10.1038/nature09266 · Cited by 1,140 · see citing works
Childhood predictors of adult obesity: a systematic review.
Parsons, T. J., Power, C., Logan, S., & Summerbell, C. D. (1999) · PubMed · Cited by 1,015 · see citing works
Burgess, S., Dudbridge, F., & Thompson, S. G. (2015) · American Journal of Epidemiology · doi:10.1093/aje/kwv017 · Cited by 945 · see citing works
FINEMAP: efficient variable selection using summary data from genome-wide association studies
Benner, C., Spencer, C. C. A., Havulinna, A. S., Salomaa, V., Ripatti, S., & Pirinen, M. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw018 · Cited by 815 · see citing works
Self-citationA Versatile Gene-Based Test for Genome-wide Association Studies
Liu, J. Z., McRae, A. F., Nyholt, D. R., Medland, S. E., Wray, N. R., Brown, K. M., Hayward, N. K., Montgomery, G. W., Visscher, P. M., Martin, N. G., et al. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.06.009 · Cited by 791 · see citing works
Self-citationRare and low-frequency coding variants alter human adult height
Marouli, E., Graff, M., Medina-Gomez, C., Lo, K. S., Wood, A. R., Kjaer, T. R., Fine, R. S., Lu, Y., Schurmann, C., Highland, H. M., et al. (2017) · Nature · doi:10.1038/nature21039 · Cited by 610 · see citing works
Self-citationGenome-wide genetic data on ~500,000 UK Biobank participantsPreprint
Bycroft, C., Freeman, C., Petkova, D., Band, G., Elliott, L. T., Sharp, K., Motyer, A., Vukcevic, D., Delaneau, O., O’Connell, J., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/166298 · Cited by 606 · see citing works
Henning, K. A., Li, L., Iyer, N., McDaniel, L. D., Reagan, M. S., Legerski, R., Schultz, R. A., Stefanini, M., Lehmann, A. R., Mayne, L. V., et al. (1995) · Cell · doi:10.1016/0092-8674(95)90028-4 · Cited by 507 · see citing works
Identifying Causal Variants at Loci with Multiple Signals of Association
Hormozdiari, F., Kostem, E., Kang, E. Y., Pasaniuc, B., & Eskin, E. (2014) · Genetics · doi:10.1534/genetics.114.167908 · Cited by 465 · see citing works
Qi, T., Wu, Y., Zeng, J., Zhang, F., Xue, A., Jiang, L., Zhu, Z., Kemper, K., Yengo, L., Zheng, Z., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04558-1 · Cited by 427 · see citing works
Self-citationNica, A. C., Montgomery, S. B., Dimas, A. S., Stranger, B. E., Beazley, C., Barroso, I., & Dermitzakis, E. T. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000895 · Cited by 423 · see citing works
Distinguishing genetic correlation from causation across 52 diseases and complex traits
O’Connor, L. J., & Price, A. L. (2018) · Nature Genetics · doi:10.1038/s41588-018-0255-0 · Cited by 394 · see citing works
GATES: A Rapid and Powerful Gene-Based Association Test Using Extended Simes Procedure
Li, M., Gui, H., Kwan, J. S. H., & Sham, P. C. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.01.019 · Cited by 378 · see citing works
Two-Sample Instrumental Variables Estimators
Inoue, A., & Solon, G. (2010) · The Review of Economics and Statistics · doi:10.1162/rest_a_00011 · Cited by 377 · see citing works
Improved imputation of low-frequency and rare variants using the UK10K haplotype reference panel
Huang, J., Howie, B., McCarthy, S., Memari, Y., Walter, K., Min, J. L., Danecek, P., Malerba, G., Trabetti, E., Zheng, H., et al. (2015) · Nature Communications · doi:10.1038/ncomms9111 · Cited by 346 · see citing works
Self-citationFehrmann, R. S. N., Jansen, R. C., Veldink, J. H., Westra, H.-J., Arends, D., Bonder, M. J., Fu, J., Deelen, P., Groen, H. J. M., Smolonska, A., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002197 · Cited by 330 · see citing works
Self-citationMancuso, N., Shi, H., Goddard, P. C., Kichaev, G., Gusev, A., & Paşaniuc, B. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.01.031 · Cited by 265 · see citing works
Age at Menarche in Relation to Adult Height
Onland-Moret, N. C., Peeters, P. H. M., van Gils, C. H., Clavel-Chapelon, F., Key, T., Tjønneland, A., Trichopoulou, A., Kaaks, R., Manjer, J., Panico, S., et al. (2005) · American Journal of Epidemiology · doi:10.1093/aje/kwi260 · Cited by 227 · see citing works
Estimating the causal tissues for complex traits and diseases
GTEx Consortium, Ongen, H., Brown, A. A., Delaneau, O., Panousis, N. I., Nica, A. C., & Dermitzakis, E. T. (2017) · Nature Genetics · doi:10.1038/ng.3981 · Cited by 198 · see citing works
Genomic analysis of primordial dwarfism reveals novel disease genesPreprint
Shaheen, R., Faqeih, E., Ansari, S., Abdel‐Salam, G. M. H., Al‐Hassnan, Z. N., Alshidi, T. A., Alomar, R., Sogaty, S., & Alkuraya, F. S. (2014) · Genome Research · doi:10.1101/gr.160572.113 · Cited by 168 · see citing works
Rare and low-frequency coding variants alter human adult height
Marouli, E., Graff, M., Medina‐Gómez, C., Lo, K. S., Wood, A. R., Kjær, T. R., Fine, R. S., Lu, Y., Schurmann, C., Highland, H. M., et al. (2017) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/xzar-z180 · Cited by 151 · see citing works
Self-citationHernandez, D. G., Nalls, M. A., Moore, M., Chong, S., Dillman, A., Trabzuni, D., Gibbs, J. R., Ryten, M., Arepalli, S., Weale, M. E., et al. (2012) · Neurobiology of Disease · doi:10.1016/j.nbd.2012.03.020 · Cited by 128 · see citing works
Identifying multiple causative genes at a single GWAS locusPreprint
Flister, M. J., Tsaih, S., O'Meara, C. C., Endres, B. T., Hoffman, M. J., Geurts, A. M., Dwinell, M. R., Lazar, J., Jacob, H. J., & Moreno, C. (2013) · Genome Research · doi:10.1101/gr.160283.113 · Cited by 114 · see citing works
Neighboring Genes Show Correlated Evolution in Gene Expression
Ghanbarian, A. T., & Hurst, L. D. (2015) · Molecular Biology and Evolution · doi:10.1093/molbev/msv053 · Cited by 108 · see citing works
Educational Attainment and Coronary Heart Disease Risk: The Framingham Offspring Study
Garrison, R. J., Gold, R. S., Wilson, P. W. F., et al. (1993) · Preventive Medicine · doi:10.1006/pmed.1993.1004 · Cited by 90 · see citing works
Bayesian association scan reveals loci associated with human lifespan and linked biomarkers
McDaid, A. F., Joshi, P. K., Porcu, E., Komljenović, A., Li, H., Sorrentino, V., Litovchenko, M., Bevers, R. P. J., Rüeger, S., Reymond, A., et al. (2017) · Nature Communications · doi:10.1038/ncomms15842 · Cited by 77 · see citing works
Self-citationSöderman, J., Berglind, L., & Almer, S. H. (2015) · BioMed Research International · doi:10.1155/2015/834805 · Cited by 76 · see citing works
A new seipin-associated neurodegenerative syndrome
Guillén‐Navarro, E., Sánchez‐Iglesias, S., Jiménez, R. D., Victoria, B., Ruiz‐Riquelme, A., Rábano, A., Loidi, L., Beiras, A., González‐Méndez, B., Ramos, A., et al. (2013) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2013-101525 · Cited by 75 · see citing works
Hepatic cholesterol ester storage disease, a familial disorder
Schiff, L., Schubert, W. K., McAdams, A. J., Spiegel, E. L., & OʼDonnell, J. F. (1968) · The American Journal of Medicine · doi:10.1016/0002-9343(68)90054-5 · Cited by 62 · see citing works
RAB23 mutation in a large family from Comoros Islands with Carpenter syndrome
Alessandri, J., Dagoneau, N., Laville, J.-M., Baruteau, J., Hébert, J., & Cormier‐Daire, V. (2010) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.33327 · Cited by 56 · see citing works
Padidela, R., Kelberman, D., Press, M., et al. (2009) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2008-2788 · Cited by 40 · see citing works
Duncan, L. E., Shen, H., Ballon, J. S., Hardy, K. V., Noordsy, D. L., & Levinson, D. F. (2017) · Schizophrenia Bulletin · doi:10.1093/schbul/sbx174 · Cited by 38 · see citing works
Bi, W., Glass, I. A., Muzny, D. M., et al. (2016) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.37727 · Cited by 28 · see citing works
Alanore, A. L. B., Trégouët, D., Sass, C., Siest, G., Visvikis‐Siest, S., & Tiret, L. (2003) · International Journal of Epidemiology · doi:10.1093/ije/dyg110 · Cited by 23 · see citing works
Atsumi (2000) · doi:10.1002/1529-0131(200009)43:9
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Combining SNP-to-gene linking strategies to identify disease genes and assess disease omnigenicity
Gazal, S., Weissbrod, O., Hormozdiari, F., Dey, K. K., Nasser, J., Jagadeesh, K. A., Weiner, D. J., Shi, H., Fulco, C. P., O’Connor, L. J., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01087-y · Cited by 181 · see citing works
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- Authors
- Porcu, E., Rüeger, S., Lepik, K., eQTLGen Consortium, Agbessi, M., Ahsan, H., Alves, I., Andiappan, A., Arindrarto, W., Awadalla, P., Battle, A., Beutner, F., Jan Bonder, M., Boomsma, D., Christiansen, M., Claringbould, A., Deelen, P., Esko, T., Favé, M.-J., Franke, L., Frayling, T., Gharib, S. A., Gibson, G., Heijmans, B. T., Hemani, G., Jansen, R., Kähönen, M., Kalnapenkis, A., Kasela, S., Kettunen, J., Kim, Y., Kirsten, H., Kovacs, P., Krohn, K., Kronberg-Guzman, J., Kukushkina, V., Lee, B., Lehtimäki, T., Loeffler, M., Marigorta, U. M., Mei, H., Milani, L., Montgomery, G. W., Müller-Nurasyid, M., Nauck, M., Nivard, M., Penninx, B., Perola, M., Pervjakova, N., Pierce, B. L., Powell, J., Prokisch, H., Psaty, B. M., Raitakari, O. T., Ripatti, S., Rotzschke, O., Saha, A., Scholz, M., Schramm, K., Seppälä, I., Slagboom, E. P., Stehouwer, C. D. A., Stumvoll, M., Sullivan, P., ‘t Hoen, P. A. C., Teumer, A., Thiery, J., Tong, L., Tönjes, A., van Dongen, J., van Iterson, M., van Meurs, J., Veldink, J. H., Verlouw, J., Visscher, P. M., Völker, U., Võsa, U., Westra, H.-J., Wijmenga, C., Yaghootkar, H., Yang, J., Zeng, B., Zhang, F., BIOS Consortium, Arindrarto, W., Beekman, M., Boomsma, D. I., Bot, J., Deelen, J., Deelen, P., Franke, L., Heijmans, B. T., ’t Hoen, P. A. C., Hofman, B. A., Hottenga, J. J., Isaacs, A., Bonder, M. J., Jhamai, P. M., Jansen, R., Kielbasa, S. M., Lakenberg, N., Luijk, R., Mei, H., Moed, M., Nooren, I., Pool, R., Schalkwijk, C. G., Slagboom, P. E., Stehouwer, C. D. A., Suchiman, H. E. D., Swertz, M. A., Tigchelaar, E. F., Uitterlinden, A. G., van den Berg, L. H., van der Breggen, R., van der Kallen, C. J. H., van Dijk, F., van Dongen, J., van Duijn, C. M., van Galen, M., van Greevenbroek, M. M. J., van Heemst, D., van Iterson, M., van Meurs, J., van Rooij, J., van’t Hof, P., van Zwet, E. W., Vermaat, M., Veldink, J. H., Verbiest, M., Verkerk, M., Wijmenga, C., Zhernakova, D. V., Zhernakova, S., Santoni, F. A., Reymond, A., & Kutalik, Z.
- Affiliations
- SIB Swiss Institute of Bioinformatics (CH)
- University of Tartu (EE)
- Ontario Institute for Cancer Research (CA)
- University of Chicago (US)
- Agency for Science, Technology and Research (SG)
- Johns Hopkins University (US)
- Leipzig University (DE)
- University of Washington (US)
- University Medical Center Groningen (NL)
- University of Exeter (GB)
- Georgia Institute of Technology (US)
- University of Bristol (GB)
- Tampere University (FI)
- University of Oulu (FI)
- IFB Adiposity Diseases (DE)
- Leiden University Medical Center (NL)
- The University of Queensland (AU)
- Universitätsmedizin Greifswald (DE)
- Vrije Universiteit Amsterdam (NL)
- University of Helsinki (FI)
- Garvan Institute of Medical Research (AU)
- Helmholtz Munich (DE)
- Kaiser Permanente Washington Health Research Institute (US)
- University of Turku (FI)
- Karolinska Institutet (SE)
- Erasmus MC (NL)
- SURFsara (Netherlands) (NL)
- University of Lausanne (CH)
- Maastricht University Medical Centre (NL)
- Centre Hospitalier Universitaire Vaudois (CH)
- Corresponding author
- Porcu, Eleonora
- Kutalik, Zoltán
- ORCID
- Porcu, Eleonora
- Rüeger, Sina
- Lepik, Kaido
- Agbessi, Mawussé
- Ahsan, Habibul
- Alves, Isabel
- Andiappan, Anand
- Awadalla, Philip
- Battle, Alexis
- Claringbould, Annique
- Esko, Tõnu
- Favé, Marie-Julie
- Frayling, Timothy
- Gharib, Sina A.
- Hemani, Gibran
- Kähönen, Mika
- Kalnapenkis, Anette
- Kasela, Silva
- Kettunen, Johannes
- Kirsten, Holger
- Kovacs, Peter
- Krohn, Knut
- Kukushkina, Viktorija
- Lee, Bernett
- Lehtimäki, Terho
- Loeffler, Markus
- Marigorta, Urko M.
- Milani, Lili
- Montgomery, Grant W.
- Nauck, Matthias
- Nivard, Michel
- Penninx, Brenda
- Perola, Markus
- Pierce, Brandon L.
- Powell, Joseph
- Prokisch, Holger
- Psaty, Bruce M.
- Raitakari, Olli T.
- Ripatti, Samuli
- Saha, Ashis
- Scholz, Markus
- Schramm, Katharina
- Seppälä, Ilkka
- Sullivan, Patrick
- Teumer, Alexander
- Thiery, Joachim
- Tönjes, Anke
- Verlouw, Joost
- Visscher, Peter M.
- Völker, Uwe
- Võsa, Urmo
- Westra, Harm-Jan
- Yaghootkar, Hanieh
- Yang, Jian
- Zhang, Futao
- Beekman, Marian
- Deelen, Joris
- Hottenga, Jouke J.
- Isaacs, Aaron
- Mei, Hailiang
- Pool, René
- Schalkwijk, Casper G.
- Suchiman, H. Eka D.
- Swertz, Morris A.
- Uitterlinden, André G.
- Vermaat, Martijn
- Verbiest, Michael
- Verkerk, Marijn
- Santoni, Federico A.
- Reymond, Alexandre
- Kutalik, Zoltán
- Venue
- Nature Communications
- Published
- 2019-07-24
- Volume
- 10
- Issue
- 1
- Pages
- 3300-3300
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC6656778
- OpenAlex
- W2963404097
- Cited by
- 322
- References
- 64
- Citations by year
- 2026: 44 · 2025: 47 · 2024: 67 · 2023: 47 · 2022: 45 · 2021: 32 · 2020: 31 · 2019: 9
- FWCI
- 17.78
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, cc-by)
- Pure Amsterdam UMC (publishedVersion, cc-by)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion, other-oa)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion, other-oa)
- SERVAL (Université de Lausanne) (publishedVersion, cc-by)
- IRIS (submittedVersion, cc-by)
- PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion, cc-by)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion, other-oa)
- RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Open access LMU (Ludwid Maxmilian's Universitat Munchen) (submittedVersion, cc-by)
- Työväentutkimus Vuosikirja (submittedVersion)
- mediaTUM (Technical University of Munich) (submittedVersion, other-oa)
- Site cant be reached (submittedVersion, cc-by)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, cc-by)
- Bristol Research (University of Bristol) (submittedVersion, cc-by)
- VU Research Portal (submittedVersion, other-oa)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (31003A-160203, 32003B_173092)
- Horizon2020 Twinning project ePerMed
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Keywords
- Mendelian randomization, expression QTL, gene-trait association, pleiotropy, complex traits, clinical traits, educational attainment, BSCL2, encephalopathy, causal inference, gene expression regulation
- MeSH terms
- Brain Diseases, Humans, Phenotype, Genetic Variation, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Gene Expression Profiling, Quantitative Trait Loci, GTP-Binding Protein gamma Subunits, Genome-Wide Association Study, Mendelian Randomization Analysis, Transcriptome
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