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Environment dominates over host genetics in shaping human gut microbiota
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Abstract
Human gut microbiome composition is shaped by multiple factors but the relative contribution of host genetics remains elusive. Here we examine genotype and microbiome data from 1,046 healthy individuals with several distinct ancestral origins who share a relatively common environment, and demonstrate that the gut microbiome is not significantly associated with genetic ancestry, and that host genetics have a minor role in determining microbiome composition. We show that, by contrast, there are significant similarities in the compositions of the microbiomes of genetically unrelated individuals who share a household, and that over 20% of the inter-person microbiome variability is associated with factors related to diet, drugs and anthropometric measurements. We further demonstrate that microbiome data significantly improve the prediction accuracy for many human traits, such as glucose and obesity measures, compared to models that use only host genetic and environmental data. These results suggest that microbiome alterations aimed at improving clinical outcomes may be carried out across diverse genetic backgrounds.
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In the citing paper
“This can be attributed to the highly individual-specificity of the human microbiome,10,11 shaped by genetics, diet, age, geography, disease status, and intrinsic host factors.12”
From Gut microbiota drives structural variation of exogenous probiotics to enhance colonization (2025) · cites this paper as [12]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“adult microbial communities seem to be predominantly shaped by prior stochastic environmental exposures, as well as multiple other factors such as diet, antibiotic therapy and host genetics, with direct 'inheritance' from the mother at birth playing a lesser role.”
From Human microbiome myths and misconceptions (2023) · cites this paper as [16]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“proportionally few microbiota species are truly 'heritable' and persist through from birth to adulthood in the offspring 15,16 .”
From Human microbiome myths and misconceptions (2023) · cites this paper as [16]
Experimental — accuracy not yet measuredIn the citing paper
“Diet has emerged as a driving factor in microbiota composition and function (Flint et al., 2017; Muegge et al., 2011; Rothschild et al., 2018; Zhernakova et al., 2016).”
From Gut-microbiota-targeted diets modulate human immune status (2021) · cites this paper as Rothschild et al., 2018
In the citing paper
“However, the effect size is likely small given recent microbial-genetic association studies showing environmental factors to have substantially greater impact on the gut microbiome than genetics22.”
From The gut Microbiome in adult and pediatric functional gastrointestinal disorders (2019) · cites this paper as [22]
In the citing paper
“Genome-wide analyses estimate that host variants account for roughly 2%–8% of interindividual compositional variation,58,59”
From Gut dysbiosis in oncology: a risk factor for immunoresistance (2026) · cites this paper as [59]
In the citing paper
“Together, they explain nearly 20% of interindividual variation in microbial composition, with drugs often exerting the stronger influence.59,70”
From Gut dysbiosis in oncology: a risk factor for immunoresistance (2026) · cites this paper as [59]
In the citing paper
“with host genetics accounting for <10% of variation (14).”
From Dietary fiber and probiotics influence the gut microbiome and melanoma immunotherapy response (2021) · cites this paper as [14]
In the citing paper
“Despite the low number of samples, these results suggest that the environment has more influence on the gut microbiome than the pathological condition, which is in accordance with recent findings 22,23 .”
From Healthspan and lifespan extension by fecal microbiota transplantation into progeroid mice (2019) · cites this paper as [22]
In the citing paper
“Diet is a key modifiable factor influencing the composition of the gut microbiota, indicating the potential for therapeutic dietary strategies to manipulate microbial diversity, composition, and stability.”
From Effect of Diet on the Gut Microbiota: Rethinking Intervention Duration (2019) · cites this paper as [4]
In the citing paper
“Besides diet, the gut microbiota is shaped by a combination of extrinsic (e.g., lifestyle and medication) and intrinsic (e.g., host genetics, immune and metabolic regulations) factors. It is generally acknowledged that the extrinsic factors elicit the predominant effect, with diet the most widely studied [4].”
From Effect of Diet on the Gut Microbiota: Rethinking Intervention Duration (2019) · cites this paper as [4]
In the citing paper
“Diet is thought to explain over 50% of these microbial structural variations in mice and 20% in humans signalling the potential for dietary strategies in disease management through gut microbiota modulation [3,4].”
From Effect of Diet on the Gut Microbiota: Rethinking Intervention Duration (2019) · cites this paper as [4]
In the citing paper
“The gut microbiome is shaped by a wealth of environmental factors whose impacts dominate over host genetics.126”
From Interaction between microbiota and immunity in health and disease (2020) · cites this paper as [126]
In the citing paper
“host-genetic influences on gut microbiome composition (Goodrich et al., 2016;Rothschild et al., 2018) are also likely to play a role in influencing the rate and extent of microbial xenobiotic metabolism.”
From Gut reactions: Breaking down xenobiotic–microbiome interactions (2019) · cites this paper as Rothschild et al., 2018
In the citing paper
“and alternately, estimating that host genetics explain only a minor percentage of microbiome variation [69].”
From Population structure of human gut bacteria in a diverse cohort from rural Tanzania and Botswana (2019) · cites this paper as [69]
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Citations
Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
XGBoost: A Scalable Tree Boosting System
Chen, T., & Guestrin, C. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · doi:10.1145/2939672.2939785 · Cited by 54,569
A Mathematical Theory of Communication
Shannon, C. E. (1948) · The MIT Press eBooks · doi:10.1002/j.1538-7305.1948.tb00917.x · Cited by 50,201
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
vegan: Community Ecology Package
Oksanen, J., Simpson, G. L., Blanchet, F. G., Kindt, R., Legendre, P., Minchin, P. R., O’Hara, R. B., Sólymos, P., Stevens, M. H. H., Szöcs, E., et al. (2001) · doi:10.32614/cran.package.vegan · Cited by 27,099
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
A global reference for human genetic variation
The 1000 Genomes Project Consortium, authors, C., Auton, A., Abecasis, G. R., Steering committee, Altshuler, D. M., Durbin, R. M., Abecasis, G. R., Bentley, D. R., Chakravarti, A., et al. (2015) · Nature · doi:10.1038/nature15393 · Cited by 18,247
Flagged first, then by citations
Research works printed but not linked: 1
- Legendre P. & Legendre. L. Numerical Ecology Vol. 24, 3rd edn (Elsevier, 2012)
Cited by
Sorted by citations
Items 601–700 of 1,007
Lei, T., Hu, Q., Yang, J., & Hu, Y. (2023) · Chemosphere · doi:10.1016/j.chemosphere.2023.137738 · Cited by 55
Bighorn sheep gut microbiomes associate with genetic and spatial structure across a metapopulation
Couch, C. E., Arnold, H. K., Crowhurst, R. S., Jolles, A. E., Sharpton, T. J., Witczak, M. F., Epps, C. W., & Beechler, B. R. (2020) · Scientific Reports · doi:10.1038/s41598-020-63401-0 · Cited by 53
Sorrenti, V., Fortinguerra, S., Caudullo, G., & Buriani, A. (2020) · Nutrients · doi:10.3390/nu12051265 · Cited by 58
Gut eukaryotic communities in pigs: diversity, composition and host genetics contribution
Ramayo‐Caldas, Y., Prenafeta-Boldú, F. X., Zingaretti, L. M., González-Rodríguez, O., Dalmau, A., Quintanilla, R., & Ballester, M. (2020) · Animal Microbiome · doi:10.1186/s42523-020-00038-4 · Cited by 55
Whole exome sequencing analyses reveal gene–microbiota interactions in the context of IBD
Hu, S., Vila, A. V., Gaćeša, R., Collij, V., Stevens, C. R., Fu, J. M., Wong, I., Talkowski, M. E., Rivas, M. A., Imhann, F., et al. (2020) · Gut · doi:10.1136/gutjnl-2019-319706 · Cited by 61
Self-citationThe Urinary Tract Microbiome in Older Women Exhibits Host Genetic and Environmental Influences
Adebayo, A. S., Ackermann, G. L., Bowyer, R. C. E., Wells, P. M., Humphreys, G. J., Knight, R. D., Spector, T. D., & Steves, C. J. (2020) · Cell Host & Microbe · doi:10.1016/j.chom.2020.06.022 · Cited by 55
Zhao, L., Ye, Y., Gu, L., Jian, Z., Stary, C. M., & Xiong, X. (2021) · Journal of Translational Medicine · doi:10.1186/s12967-021-02861-y · Cited by 57
Janizek, J. D., Çelik, S., & Lee, S. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/331769 · Cited by 55
Applications of the Soil, Plant and Rumen Microbiomes in Pastoral Agriculture
Attwood, G. T., Wakelin, S. A., Leahy, S. C., Rowe, S. J., Clarke, S., Chapman, D. F., Muirhead, R. W., & Jacobs, J. M. E. (2019) · Frontiers in Nutrition · doi:10.3389/fnut.2019.00107 · Cited by 59
Miao, Z., Zheng, H., Liu, W., Cheng, R., Lan, H., Sun, T., Zhao, W. H., Li, J., Shen, X. P., Li, H., et al. (2022) · Probiotics and Antimicrobial Proteins · doi:10.1007/s12602-022-09911-x · Cited by 58
Luo, H., Li, M., Wang, F., Yang, Y., Wang, Q. L., Zhao, Y., Du, F., Chen, Y., Shen, J., Zhao, Q., et al. (2022) · International Journal of Biological Sciences · doi:10.7150/ijbs.72600 · Cited by 58
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Pristner, M., & Warth, B. (2020) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2020.09.012 · Cited by 58
Prescott, S. L., Wegienka, G., Logan, A. C., & Katz, D. L. (2018) · BioPsychoSocial Medicine · doi:10.1186/s13030-018-0126-z · Cited by 53
Gut microbiota associations with metabolic syndrome and relevance of its study in pediatric subjects
Carrizales-Sánchez, A. K., García‐Cayuela, T., Hernández‐Brenes, C., & Senés‐Guerrero, C. (2021) · Gut Microbes · doi:10.1080/19490976.2021.1960135 · Cited by 55
Drivers of gut microbiome variation within and between groups of a wild Malagasy primate
Rudolph, K., Schneider, D., Fichtel, C., Daniel, R., Heistermann, M., & Kappeler, P. M. (2022) · Microbiome · doi:10.1186/s40168-021-01223-6 · Cited by 51
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Sánchez-Pellicer, P., Navarro-Moratalla, L., Núñez-Delegido, E., Agüera-Santos, J., & Navarro‐López, V. (2022) · Genes · doi:10.3390/genes13101860 · Cited by 59
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Torrey, E. F., & Yolken, R. H. (2019) · Psychiatry Research · doi:10.1016/j.psychres.2019.06.006 · Cited by 56
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Tsolis, R. M., & Bäumler, A. J. (2020) · Current Opinion in Microbiology · doi:10.1016/j.mib.2020.03.002 · Cited by 56
Fart, F., Rajan, S., Wall, R., Rangel, I., Mall, J. G., Tingö, L., Brummer, R. J., Repsilber, D., Schoultz, I., & Lindqvist, C. M. (2020) · Nutrients · doi:10.3390/nu12092610 · Cited by 55
Essential amino acid formulations to prevent mitochondrial dysfunction and oxidative stress
Ruocco, C., Segala, A., Valerio, A., & Nisoli, E. (2020) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0000000000000704 · Cited by 56
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Robinson, J. M., Cando‐Dumancela, C., Liddicoat, C., Weinstein, P., Cameron, R. W. F., & Breed, M. F. (2020) · Environmental Health Perspectives · doi:10.1289/ehp7807 · Cited by 53
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Karlsson, O., Rocklöv, J., Lehoux, A. P., Bergquist, J., Rutgersson, A., Blunt, M. J., & Birnbaum, L. S. (2020) · International Journal of Epidemiology · doi:10.1093/ije/dyaa231 · Cited by 56
Ayton, A. K., & Ibrahim, A. (2019) · Nutrition Reviews · doi:10.1093/nutrit/nuz089 · Cited by 57
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Hashimoto, Y., Hamaguchi, M., Kaji, A., Sakai, R., Osaka, T., Inoüe, R., Kashiwagi, S., Mizushima, K., Uchiyama, K., Takagi, T., et al. (2020) · Journal of Diabetes Investigation · doi:10.1111/jdi.13293 · Cited by 52
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Lundberg, R., Scharch, C., & Sandvang, D. (2021) · Animal Microbiome · doi:10.1186/s42523-021-00110-7 · Cited by 56
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Su, Y., Tian, S., Li, D., Zhu, W., Wang, T., Mishra, S. K., Wei, R., Xu, Z., He, M., Zhao, X., et al. (2021) · GigaScience · doi:10.1093/gigascience/giab067 · Cited by 52
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Bruijning, M., Ayroles, J. F., Henry, L. P., Koskella, B., Meyer, K., & Metcalf, C. J. E. (2023) · Microbiome · doi:10.1186/s40168-023-01669-w · Cited by 52
Han, Y., Liu, X., Jia, Q., Xu, J., Shi, J., Li, X. O., Xie, G., Zhao, X., & He, K. (2024) · Microbiome · doi:10.1186/s40168-024-01781-5 · Cited by 60
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Tindall, A. M., Petersen, K. H., & Kris‐Etherton, P. M. (2018) · Journal of Nutrition · doi:10.1093/jn/nxy141 · Cited by 53
Grosser, S., Sauer, J., Paijmans, A. J., Caspers, B. A., Forcada, J., Wolf, J. B. W., & Hoffman, J. I. (2019) · Molecular Ecology · doi:10.1111/mec.15070 · Cited by 50
Ellermann, M., Gharaibeh, R. Z., Maharshak, N., Peréz-Chanona, E., Jobin, C., Carroll, I. M., Arthur, J. C., Plevy, S. E., Fodor, A. A., Brouwer, C., et al. (2019) · Gut Microbes · doi:10.1080/19490976.2019.1599794 · Cited by 54
van der Merwe, M., Sharma, S., Caldwell, J. L., Smith, N. J., Gomes, C., Bloomer, R. J., Buddington, R. K., & Pierre, J. F. (2019) · Current Developments in Nutrition · doi:10.1093/cdn/nzz145 · Cited by 51
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Popkes, M., & Valenzano, D. R. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0596 · Cited by 54
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Li, C., Cai, C., Wang, C., Chen, X., Zhang, B., & Huang, Z. (2024) · Clinical and Molecular Hepatology · doi:10.3350/cmh.2024.0857 · Cited by 57
Vinberg, M., Ottesen, N. M., Meluken, I., Sørensen, N., Pedersen, O. B., Kessing, L. V., & Miskowiak, K. W. (2018) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.12976 · Cited by 50
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Wu, J., Liu, M., Zhou, M., Wu, L., Yang, H., Huang, L., & Chen, C. (2021) · BMC Microbiology · doi:10.1186/s12866-021-02193-3 · Cited by 50
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Oh, J. K., Chae, J. P., Pajarillo, E. A. B., Kim, S. H., Kwak, M., Eun, J.-S., Chee, S. W., Whang, K., Kim, S. H., & Kang, D. (2020) · Animal Science Journal · doi:10.1111/asj.13418 · Cited by 53
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Salzano, F. A., Marino, L., Salzano, G., Botta, R. M., Cascone, G., Fiorenza, U. D., Selleri, C., & Casolaro, V. (2018) · Journal of Immunology Research · doi:10.1155/2018/2724951 · Cited by 49
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Horizontally transmitted symbiont populations in deep-sea mussels are genetically isolated
Picazo, D. R., Dagan, T., Ansorge, R., Petersen, J. M., Dubilier, N., & Kupczok, A. (2019) · The ISME Journal · doi:10.1038/s41396-019-0475-z · Cited by 47
Chi, H., Cao, W., Zhang, M., Su, D., Yang, H., Li, Z., Li, C., She, X., Wang, K., Gao, X., et al. (2021) · Journal of Neuroinflammation · doi:10.1186/s12974-020-02053-3 · Cited by 49
Sudheer, S. M., Gangwar, P., Usmani, Z., Sharma, M., Sharma, V. K., Sana, S. S., Almeida, F. B. D. R., Dubey, N. K., Singh, D. P., Dilbaghi, N., et al. (2021) · Biochimie · doi:10.1016/j.biochi.2021.10.010 · Cited by 50
The disciplinary matrix of holobiont biology
Bordenstein, S. R., The Holobiont Biology Network, Gilbert, M. T. P., Ginnan, N. A., Malacrinò, A., Martino, M. E., Bahrndorff, S., Mundra, S., Martin, M. D., Theis, K. R., et al. (2024) · Science · doi:10.1126/science.ado2152 · Cited by 49
Improving causality in microbiome research: can human genetic epidemiology help?
Wade, K. H., & Hall, L. J. (2019) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15628.3 · Cited by 65
Huang, Z., Hou, D., Zhou, R., Zeng, S., Xing, C., Wei, D., Deng, X., Yu, L., Wang, H., Deng, Z., et al. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.772149 · Cited by 56
Vasishta, S., Ganesh, K., Umakanth, S., & Joshi, M. B. (2022) · Metabolomics · doi:10.1007/s11306-022-01905-8 · Cited by 46
Oliveira, R. A., & Pamer, E. G. (2023) · Cell Host & Microbe · doi:10.1016/j.chom.2023.03.002 · Cited by 51
Lipotoxicity as a therapeutic target in obesity and diabetic cardiomyopathy
Nakamura, M. (2024) · Journal of Pharmacy & Pharmaceutical Sciences · doi:10.3389/jpps.2024.12568 · Cited by 53
Social and environmental transmission spread different sets of gut microbes in wild mice
Raulo, A., Bürkner, P.-C., Finerty, G. E., Dale, J., Hanski, E., English, H. M., Lamberth, C., Firth, J. A., Coulson, T., & Knowles, S. C. L. (2024) · Nature Ecology & Evolution · doi:10.1038/s41559-024-02381-0 · Cited by 52
The Role of the Human Microbiome in Chemical Toxicity
Koontz, J. M., Dancy, B. C. R., Horton, C. L., Stallings, J. D., DiVito, V. T., & Lewis, J. A. (2019) · International Journal of Toxicology · doi:10.1177/1091581819849833 · Cited by 48
Daele, E. V., Knol, J., & Belzer, C. (2019) · Critical Reviews in Microbiology · doi:10.1080/1040841x.2019.1680601 · Cited by 49
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Eetemadi, A., Rai, N., Pereira, B. M. P., Kim, M., Schmitz, H. H., & Tagkopoulos, I. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.00393 · Cited by 51
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Kreuzer, M., & Hardt, W. (2020) · Annual Review of Microbiology · doi:10.1146/annurev-micro-020420-013457 · Cited by 45
Effects of Short-Term Dietary Fiber Intervention on Gut Microbiota in Young Healthy People
Tian, T., Zhang, X., Luo, T., Wang, D., Sun, Y., & Dai, J. (2021) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s313385 · Cited by 53
Opportunities and limits of combining microbiome and genome data for complex trait prediction
Miguel Pérez-enciso, A., Zingaretti, L. M., Ramayo‐Caldas, Y., & Campos, G. D. L. (2021) · Genetics Selection Evolution · doi:10.1186/s12711-021-00658-7 · Cited by 61
Skeen, H. R., Cooper, N. W., Hackett, S. J., Bates, J. M., & Marra, P. P. (2021) · Molecular Ecology · doi:10.1111/mec.16170 · Cited by 47
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Wu, L., Xie, X., Li, Y., Liang, T., Zhong, H., Ma, J., Yang, L., Yang, J., Li, L., Yu, X., et al. (2021) · Antibiotics · doi:10.3390/antibiotics10081006 · Cited by 47
Communication between the gut microbiota and peripheral nervous system in health and chronic disease
Cook, T. M., & Mansuy‐Aubert, V. (2022) · Gut Microbes · doi:10.1080/19490976.2022.2068365 · Cited by 47
Antibiotic-induced gut microbiota depletion exacerbates host hypercholesterolemia
Kappel, B. A., Angelis, L. D., Puetz, A., Ballanti, M., Menghini, R., Marx, N., & Federici, M. (2022) · Pharmacological Research · doi:10.1016/j.phrs.2022.106570 · Cited by 49
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Farhat, E. K., Sher, E. K., Džidić-Krivić, A., Banjari, I., & Sher, F. (2023) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2023.109368 · Cited by 48
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Zha, C., Peng, Z., Huang, K., Tang, K., Wang, Q., Zhu, L. J., Che, B., Li, W., Xu, S., Huang, T., et al. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1196217 · Cited by 49
Menafra, D., Proganò, M., Tecce, N., Pivonello, R., & Colao, A. A. L. (2024) · Human Nutrition & Metabolism · doi:10.1016/j.hnm.2024.200286 · Cited by 50
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Reicher, L., Shilo, S., Godneva, A., Lutsker, G., Zahavi, L., Shoer, S., Krongauz, D. L., Rein, M., Kohn, S., Segev, T., et al. (2025) · Nature Medicine · doi:10.1038/s41591-025-03790-9 · Cited by 52
Self-citationPero, R., Brancaccio, M., Laneri, S., Biasi, M.-G. D., Lombardo, B., & Scudiero, O. (2019) · Biomolecules · doi:10.3390/biom9060237 · Cited by 47
Stothart, M. R., Greuel, R. J., Gavriliuc, S., Henry, A., Wilson, A. J., McLoughlin, P. D., & Poissant, J. (2020) · Molecular Ecology · doi:10.1111/mec.15747 · Cited by 49
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Na, G. S., Jang, S., Lee, Y., & Chang, H. (2020) · The Journal of Physical Chemistry A · doi:10.1021/acs.jpca.0c07802 · Cited by 47
Tong, L., Xiao, T., Wang, L., Lü, C., Liu, L., Zhou, X., Wang, A., Qin, W., & Wang, F. (2021) · iScience · doi:10.1016/j.isci.2021.103435 · Cited by 51
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McCombe, P. A., Henderson, R. D., Lee, A., Lee, J. D., Woodruff, T. M., Restuadi, R., McRae, A., Wray, N. R., Ngo, S., & Steyn, F. J. (2019) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2019.1623026 · Cited by 46
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El‐Mowafy, M., Elgaml, A., El‐Mesery, M., Sultan, S., Ahmed, T. A., Gomaa, A. I., Aly, M., & Mottawea, W. (2021) · Biology · doi:10.3390/biology10010055 · Cited by 48
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Boulund, U., Bastos, D. M., Ferwerda, B., van den Born, B. H., Pinto‐Sietsma, S., Galenkamp, H., Levin, E., Groen, A. K., Zwinderman, A. H., & Nieuwdorp, M. (2022) · Cell Host & Microbe · doi:10.1016/j.chom.2022.08.013 · Cited by 49
Metadata
- Authors
- Rothschild, D., Weissbrod, O., Barkan, E., Kurilshikov, A., Korem, T., Zeevi, D., Costea, P. I., Godneva, A., Kalka, I. N., Bar, N., Shilo, S., Lador, D., Vila, A. V., Zmora, N., Pevsner-Fischer, M., Israeli, D., Kosower, N., Malka, G., Wolf, B. C., Avnit-Sagi, T., Lotan-Pompan, M., Weinberger, A., Halpern, Z., Carmi, S., Fu, J., Wijmenga, C., Zhernakova, A., Elinav, E., & Segal, E.
- Affiliations
- Weizmann Institute of Science (IL)
- University Medical Center Groningen (NL)
- Tel Aviv University (IL)
- Jerusalem Mental Health Center (IL)
- Hebrew University of Jerusalem (IL)
- ORCID
- Venue
- Nature
- Published
- 2018-02-28
- Volume
- 555
- Issue
- 7695
- Pages
- 210-215
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2787902098
- Cited by
- 2,859
- References
- 111
- Citations by year
- 2026: 227 · 2025: 295 · 2024: 367 · 2023: 349 · 2022: 390 · 2021: 411 · 2020: 390 · 2019: 286 · 2018: 135
- FWCI
- 110.82
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- Funders
- Howard Hughes Medical Institute
- Bill and Melinda Gates Foundation
- Leona M. and Harry B. Helmsley Charitable Trust
- Canadian Institute for Advanced Research
- Stiftelsen Kristian Gerhard Jebsen
- Wellcome Trust (085475, 076113)
- Rijksuniversiteit Groningen
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO SPI 92–266, NWO-VIDI 864.13.013, 864.13.013, 016.Vidi.178.056, SPI 92-266)
- Israel Science Foundation
- Abisch-Frenkel-Stiftung
- H2020 European Research Council (715772)
- FP7 Ideas: European Research Council (322698)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Keywords
- gut microbiota, host genetics, genetic ancestry, environmental factors, diet, drugs, anthropometry, glucose, obesity
- MeSH terms
- Gastrointestinal Microbiome, Adolescent, Adult, Aged, Aged, 80 and over, Diet, Environment, Family Characteristics, Female, Glucose, Humans, Israel, Life Style, Male, Middle Aged, Obesity, Phenotype, RNA, Bacterial, RNA, Ribosomal, 16S, Twins, Reproducibility of Results, Cohort Studies, Twin Studies as Topic, Polymorphism, Single Nucleotide, Heredity, Young Adult, Gene-Environment Interaction, Healthy Volunteers
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