The DOI matches its Crossref record; 111 of the 111 references it cites were found in a registry or an index.
Environment dominates over host genetics in shaping human gut microbiota
Open accessPublished version of a preprint
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.
Overview
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
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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 201–300 of 1,007
Chng, K. R., Ghosh, T. S., Tan, Y. H., Nandi, T., Lee, I. R., Ng, A. H. Q., Li, C., Ravikrishnan, A., Lim, K. M., Lye, D. C., et al. (2020) · Nature Ecology & Evolution · doi:10.1038/s41559-020-1236-0 · Cited by 171
Gut Microbiota in Colorectal Cancer: Biological Role and Therapeutic Opportunities
Pandey, H., Tang, D. W. T., Wong, S. H., & Lal, D. (2023) · Cancers · doi:10.3390/cancers15030866 · Cited by 171
Current understanding of the gut microbiota shaping mechanisms
Chang, C., & Kao, C. (2019) · Journal of Biomedical Science · doi:10.1186/s12929-019-0554-5 · Cited by 166
Newly Explored Faecalibacterium Diversity Is Connected to Age, Lifestyle, Geography, and Disease
De Filippis, F., Pasolli, E., & Ercolini, D. (2020) · Current Biology · doi:10.1016/j.cub.2020.09.063 · Cited by 161
Kumagai, T., Rahman, F. Z., & Smith, A. M. (2018) · Nutrients · doi:10.3390/nu10101405 · Cited by 162
Gut-Muscle Axis Exists and May Affect Skeletal Muscle Adaptation to Training
Przewłócka, K., Folwarski, M., Kaźmierczak-Siedlecka, K., Skonieczna‐Żydecka, K., & Kaczor, J. J. (2020) · Nutrients · doi:10.3390/nu12051451 · Cited by 166
Lv, W., Xu, L., Shen, H., Liu, H., Qiu, X., Li, B., Shen, W., Ge, C.-L., Lv, F.-Y., Shen, J., et al. (2021) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12788 · Cited by 161
Host control of the microbiome: Mechanisms, evolution, and disease
Wilde, J., Slack, E. M. C., & Foster, K. R. (2024) · Science · doi:10.1126/science.adi3338 · Cited by 172
Community ecology as a framework for human microbiome research
Gilbert, J. A., & Lynch, S. V. (2019) · Nature Medicine · doi:10.1038/s41591-019-0464-9 · Cited by 163
Gut Microbiota in Anxiety and Depression: Unveiling the Relationships and Management Options
Kumar, A., Pramanik, J., Goyal, N., Chauhan, D., Sivamaruthi, B. S., Prajapati, B. G., & Chaiyasut, C. (2023) · Pharmaceuticals · doi:10.3390/ph16040565 · Cited by 174
Nicolaı̈dis, S. (2019) · Metabolism · doi:10.1016/j.metabol.2019.07.006 · Cited by 162
Lee, P. C., Yacyshyn, B., & Yacyshyn, M. B. (2018) · Diabetes Obesity and Metabolism · doi:10.1111/dom.13561 · Cited by 159
Towards modulating the gut microbiota to enhance the efficacy of immune-checkpoint inhibitors
Simpson, R. C., Shanahan, E. R., Scolyer, R. A., & Long, G. V. (2023) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-023-00803-9 · Cited by 153
Nutritional regulation of microbiota-derived metabolites: Implications for immunity and inflammation
Arifuzzaman, M., Collins, N., Guo, C., & Artis, D. (2024) · Immunity · doi:10.1016/j.immuni.2023.12.009 · Cited by 159
Paternal microbiome perturbations impact offspring fitness
Argaw-Denboba, A., Schmidt, T., Giacomo, M. D., Ranjan, B., Devendran, S., Mastrorilli, E., Lloyd, C. T., Pugliese, D., Paribeni, V., Dabin, J., et al. (2024) · Nature · doi:10.1038/s41586-024-07336-w · Cited by 157
Socioeconomic Status and the Gut Microbiome: A TwinsUK Cohort Study
Bowyer, R. C. E., Jackson, M. A., Le Roy, C. I., Ni Lochlainn, M., Spector, T. D., Dowd, J. B., & Steves, C. J. (2019) · Microorganisms · doi:10.3390/microorganisms7010017 · Cited by 150
The gut microbiome and cardiovascular disease: current knowledge and clinical potential
Ahmad, A. F., Dwivedi, G., O’Gara, F., Caparros-Martin, J. A., & Ward, N. C. (2019) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00376.2019 · Cited by 165
Gut-Brain-Microbiota Axis: Antibiotics and Functional Gastrointestinal Disorders
Karakan, T., Özkul, C., Akkol, E. K., Bilici, S., Sobarzo‐Sánchez, E., & Capasso, R. (2021) · Nutrients · doi:10.3390/nu13020389 · Cited by 159
Identification of environmental factors that promote intestinal inflammation
Sanmarco, L. M., Chao, C., Wang, Y., Kenison, J. E., Li, Z., Rone, J. M., Rejano-Gordillo, C. M., Polonio, C. M., Gutiérrez‐Vázquez, C., Piester, G., et al. (2022) · Nature · doi:10.1038/s41586-022-05308-6 · Cited by 158
Skonieczna‐Żydecka, K., Marlicz, W. M., Misera, A., Koulaouzidis, A., & Łoniewski, I. (2018) · Journal of Clinical Medicine · doi:10.3390/jcm7120521 · Cited by 151
Xu, F., Fu, Y., Sun, T., Jiang, Z., Miao, Z., Shuai, M., Gou, W., Ling, C.-W., Yang, J., Wang, J., et al. (2020) · Microbiome · doi:10.1186/s40168-020-00923-9 · Cited by 155
Prebiotics and the Human Gut Microbiota: From Breakdown Mechanisms to the Impact on Metabolic Health
Bedu-Ferrari, C., Biscarrat, P., Langella, P., & Cherbuy, C. (2022) · Nutrients · doi:10.3390/nu14102096 · Cited by 168
The role of microbiome in rheumatoid arthritis treatment
Bodkhe, R., Balakrishnan, B., & Taneja, V. (2019) · Therapeutic Advances in Musculoskeletal Disease · doi:10.1177/1759720x19844632 · Cited by 152
Amin, N., Liu, J., Bonnechère, B., MahmoudianDehkordi, S., Arnold, M., Batra, R., Chiou, Y., Fernandes, M., Ikram, M. A., Kraaij, R., et al. (2023) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2023.0685 · Cited by 155
Kong, X., Liu, J., Çetinbaş, M., Sadreyev, R. I., Koh, M., Huang, H. Y., Adeseye, A., He, P., Zhu, J., Russell, H., et al. (2019) · Nutrients · doi:10.3390/nu11092128 · Cited by 155
Influence of the microbiota-gut-brain axis on behavior and welfare in farm animals: A review
Kraïmi, N., Dawkins, M. S., Gebhardt‐Henrich, S. G., Velge, P., Rychlı́k, I., Volf, J., Créach, P., Smith, A. L., Colles, F. M., & Leterrier, C. (2019) · Physiology & Behavior · doi:10.1016/j.physbeh.2019.112658 · Cited by 161
Large-scale association analyses identify host factors influencing human gut microbiome compositionPreprint
Kurilshikov, A., Medina‐Gómez, C., Bacigalupe, R., Radjabzadeh, D., Wang, J., Demirkan, A., Roy, C. I. L., Garay, J. A. R., Finnicum, C. T., Liu, X., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.06.26.173724 · Cited by 143
Self-citationBai, J., Hu, Y., & Bruner, D. W. (2018) · Pediatric Obesity · doi:10.1111/ijpo.12480 · Cited by 145
Systemic Immunometabolism: Challenges and Opportunities
Lercher, A., Baazim, H., & Bergthaler, A. (2020) · Immunity · doi:10.1016/j.immuni.2020.08.012 · Cited by 144
Lin, Y., Lau, H. C.-H., Liu, Y., Kang, X., Wang, Y., Ting, N. L.-N., Kwong, T. N.-Y., Han, J., Liu, W., Liu, C., et al. (2022) · Gastroenterology · doi:10.1053/j.gastro.2022.06.038 · Cited by 142
Fackelmann, G., Manghi, P., Carlino, N., Heidrich, V., Piccinno, G., Ricci, L., Piperni, E., Arrè, A., Bakker, E., Creedon, A. C., et al. (2025) · Nature Microbiology · doi:10.1038/s41564-024-01870-z · Cited by 142
Machine learning for data integration in human gut microbiome
Li, P., Luo, H., Ji, B., & Nielsen, J. (2022) · Microbial Cell Factories · doi:10.1186/s12934-022-01973-4 · Cited by 155
Host/microbiota interactions in health and diseases—Time for mucosal microbiology!
Daniel, N., Lécuyer, E., & Chassaing, B. (2021) · Mucosal Immunology · doi:10.1038/s41385-021-00383-w · Cited by 151
Human Salivary Amylase Gene Copy Number Impacts Oral and Gut Microbiomes
Poole, A. C., Goodrich, J. K., Youngblut, N. D., Luque, G. G., Ruaud, A., Sutter, J. L., Waters, J. L., Shi, Q., El-Hadidi, M. S., Johnson, L. M., et al. (2019) · Cell Host & Microbe · doi:10.1016/j.chom.2019.03.001 · Cited by 143
Good Gone Bad: One Toxin Away From Disease for Bacteroides fragilis
Valguarnera, E., & Wardenburg, J. B. (2019) · Journal of Molecular Biology · doi:10.1016/j.jmb.2019.12.003 · Cited by 141
Adaptation of the Gut Microbiota to Modern Dietary Sugars and Sweeteners
Rienzi, S. C. D., & Britton, R. A. (2019) · Advances in Nutrition · doi:10.1093/advances/nmz118 · Cited by 141
Gut bless you: The microbiota-gut-brain axis in irritable bowel syndrome
Hillestad, E. M. R., van der Meeren, A., Nagaraja, B. H., Bjørsvik, B. R., Haleem, N., Benítez‐Páez, A., Sanz, Y., Hausken, T., Lied, G. A., Lundervold, A., et al. (2022) · World Journal of Gastroenterology · doi:10.3748/wjg.v28.i4.412 · Cited by 154
Microbiota-derived tryptophan metabolites in vascular inflammation and cardiovascular disease
Paeslack, N., Mimmler, M., Becker, S., Gao, Z., Khuu, M. P., Mann, A., Malinarich, F., Regen, T., & Reinhardt, C. (2022) · Amino Acids · doi:10.1007/s00726-022-03161-5 · Cited by 150
Diet fuelling inflammatory bowel diseases: preclinical and clinical concepts
Adolph, T. E., & Zhang, J. (2022) · Gut · doi:10.1136/gutjnl-2021-326575 · Cited by 147
Microbiome evolution during host aging
Aleman, F., & Valenzano, D. R. (2019) · PLoS Pathogens · doi:10.1371/journal.ppat.1007727 · Cited by 139
Genetic determinants of gut microbiota composition and bile acid profiles in mice
Kemis, J. H., Linke, V., Barrett, K. L., Boehm, F. J., Traeger, L. L., Keller, M. P., Rabaglia, M. E., Schueler, K. L., Stapleton, D. S., Gatti, D. M., et al. (2019) · PLOS Genetics · doi:10.1371/journal.pgen.1008073 · Cited by 136
Challenges and future directions for studying effects of host genetics on the gut microbiome
Sanna, S., Kurilshikov, A., van der Graaf, A., Fu, J., & Zhernakova, A. (2022) · Nature Genetics · doi:10.1038/s41588-021-00983-z · Cited by 140
Self-citationYin, J., Sternes, P. R., Wang, M., Morrison, M., Song, J., Li, T., Zhou, L., Wu, X., He, F., Zhu, J., et al. (2019) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2019-215763 · Cited by 135
Gut microbiome in Parkinson's disease: New insights from meta-analysis
Toh, T. S., Chong, C. W., Lim, S., Bowman, J. S., Cirstea, M. S., Lin, C., Chen, C., Appel‐Cresswell, S., Finlay, B. B., & Tan, A. H. (2021) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2021.11.017 · Cited by 138
Li, J., Wu, T., Li, N., Wang, X., Chen, G., & Lyu, X. (2018) · Food & Function · doi:10.1039/c8fo01962b · Cited by 138
Tsiaoussis, J., Antoniou, M. N., Koliarakis, I., Mesnage, R., Vardavas, C. I., Izotov, B. N., Psaroulaki, A., & Tsatsakis, A. M. (2019) · Toxicology Letters · doi:10.1016/j.toxlet.2019.04.014 · Cited by 139
Adaptive Strategies of the Candidate Probiotic E. coli Nissle in the Mammalian Gut
Crook, N., Ferreiro, A. L., Gasparrini, A. J., Pesesky, M. W., Gibson, M. K., Wang, B., Sun, X., Condiotte, Z. J., Dobrowolski, S., Peterson, D. A., et al. (2019) · Cell Host & Microbe · doi:10.1016/j.chom.2019.02.005 · Cited by 134
Dietary and policy priorities to reduce the global crises of obesity and diabetes
Mozaffarian, D. (2020) · Nature Food · doi:10.1038/s43016-019-0013-1 · Cited by 135
Dietary nutrients shape gut microbes and intestinal mucosa via epigenetic modifications
Wu, J., Zhao, Y., Wang, X., Kong, L., Johnston, L. J., Lü, L., & Ma, X. (2020) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2020.1828813 · Cited by 132
Jiang, Z., Sun, T., He, Y., Gou, W., Zuo, L.-S.-Y., Fu, Y., Miao, Z., Shuai, M., Xu, F., Xiao, C., et al. (2020) · BMC Medicine · doi:10.1186/s12916-020-01842-0 · Cited by 132
Salamone, D., Rivellese, A. A., & Vetrani, C. (2021) · Acta Diabetologica · doi:10.1007/s00592-021-01727-5 · Cited by 141
Role of the intestinal microbiome and its therapeutic intervention in cardiovascular disorder
Luqman, A., Hassan, A., Ullah, M., Naseem, S., Ullah, M., Zhang, L., Din, A. U., Ullah, K., Ahmad, W., & Wang, G. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1321395 · Cited by 145
Intestinal colonization resistance in the context of environmental, host, and microbial determinants
Woelfel, S., Silva, M. S., & Stecher, B. (2024) · Cell Host & Microbe · doi:10.1016/j.chom.2024.05.002 · Cited by 151
Population-Level Configurations of Gut Mycobiome Across 6 Ethnicities in Urban and Rural China
Sun, Y., Zuo, T., Cheung, C. P., Gu, W., Wan, Y., Zhang, F., Chen, N., Zhan, H., Yeoh, Y. K., Niu, J., et al. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.09.014 · Cited by 129
Genome-resolved metagenomics: a game changer for microbiome medicine
Kim, N., Ma, J., Kim, W., Kim, J., Belenky, P. A., & Lee, I. (2024) · Experimental & Molecular Medicine · doi:10.1038/s12276-024-01262-7 · Cited by 134
Marriage, divorce, and the immune system.
Kiecolt‐Glaser, J. K. (2018) · American Psychologist · doi:10.1037/amp0000388 · Cited by 148
Species identity dominates over environment in shaping the microbiota of small mammals
Knowles, S. C. L., Eccles, R. M., & Baltrūnaitė, L. (2019) · Ecology Letters · doi:10.1111/ele.13240 · Cited by 132
Grieneisen, L., Charpentier, M. J. E., Alberts, S. C., Blekhman, R., Bradburd, G. S., Tung, J., & Archie, E. A. (2019) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2019.0431 · Cited by 136
The gut microbiome: a key player in the complexity of amyotrophic lateral sclerosis (ALS)
Boddy, S. L., Giovannelli, I., Sassani, M., Cooper-Knock, J., Snyder, M. P., Segal, E., Elinav, E., Barker, L. A., Shaw, P. J., & McDermott, C. J. (2021) · BMC Medicine · doi:10.1186/s12916-020-01885-3 · Cited by 127
Self-citationMicrobial Metabolism Modulates Antibiotic Susceptibility within the Murine Gut Microbiome
Cabral, D. J., Penumutchu, S., Reinhart, E. M., Zhang, C., Korry, B. J., Wurster, J. I., Nilson, R., Guang, A., Sano, W. H., Rowan-Nash, A. D., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.08.020 · Cited by 132
Suskind, D. L., Lee, D. Y., Kim, Y., Wahbeh, G. T., Singh, N., Braly, K., Nuding, M. E., Nicora, C., Purvine, S. O., Lipton, M. S. W., et al. (2020) · Nutrients · doi:10.3390/nu12123749 · Cited by 135
The Influence of Dietary Factors on the Gut Microbiota
Nova, E., Gómez‐Martínez, S., & González-Soltero, R. (2022) · Microorganisms · doi:10.3390/microorganisms10071368 · Cited by 132
The Genetic Basis of Metabolic Disease
Barroso, I., & McCarthy, M. I. (2019) · Cell · doi:10.1016/j.cell.2019.02.024 · Cited by 129
Precision (Personalized) Nutrition: Understanding Metabolic Heterogeneity
Zeisel, S. H. (2020) · Annual Review of Food Science and Technology · doi:10.1146/annurev-food-032519-051736 · Cited by 135
Maternal gut microbes shape the early-life assembly of gut microbiota in passerine chicks via nests
Chen, C.-Y., Chen, C.-K., Chen, Y.-Y., Fang, A., Shaw, G. T.-W., Hung, C., & Wang, D. (2020) · Microbiome · doi:10.1186/s40168-020-00896-9 · Cited by 127
Exploring the gut microbiota: lifestyle choices, disease associations, and personal genomics
Matute, S. P., & Iyavoo, S. (2023) · Frontiers in Nutrition · doi:10.3389/fnut.2023.1225120 · Cited by 143
The Gut Microbiome as a Target for the Treatment of Type 2 Diabetes
Aydin, Ö., Nieuwdorp, M., & Gerdes, V. (2018) · Current Diabetes Reports · doi:10.1007/s11892-018-1020-6 · Cited by 124
Safarchi, A., Al-Qadami, G. H., Tran, C. D., & Conlon, M. A. (2025) · Frontiers in Microbiology · doi:10.3389/fmicb.2025.1559521 · Cited by 145
Host and microbiome multi-omics integration: applications and methodologies
Wang, Q., Wang, K., Wu, W., Giannoulatou, E., Ho, J. W. K., & Li, L. (2019) · Biophysical Reviews · doi:10.1007/s12551-018-0491-7 · Cited by 125
The role of sodium in modulating immune cell function
Wilck, N., Balogh, A., Markó, L., Bartolomaeus, H., & Müller, D. N. (2019) · Nature Reviews Nephrology · doi:10.1038/s41581-019-0167-y · Cited by 129
Fan, P. F., Bian, B., Teng, L., Nelson, C. D., Driver, J., Elzo, M. A., & Jeong, K. C. (2019) · The ISME Journal · doi:10.1038/s41396-019-0529-2 · Cited by 127
Towards a mechanistic understanding of reciprocal drug–microbiome interactions
Zimmermann, M., Patil, K. R., Typas, A., & Maier, L. (2021) · Molecular Systems Biology · doi:10.15252/msb.202010116 · Cited by 124
Metagenome-genome-wide association studies reveal human genetic impact on the oral microbiome
Liu, X., Tong, X., Zhu, J., Tian, L., Jie, Z., Zou, Y., Lin, X., Liang, H., Li, W., Ju, Y., et al. (2021) · Cell Discovery · doi:10.1038/s41421-021-00356-0 · Cited by 127
A metagenome-wide association study of gut microbiota in asthma in UK adults
Wang, Q., Li, F., Liang, B., Liang, Y., Chen, S., Mo, X., Ju, Y., Zhao, H., Jia, H., Spector, T. D., et al. (2018) · BMC Microbiology · doi:10.1186/s12866-018-1257-x · Cited by 121
Targeting gut microbiota for precision medicine: Focusing on the efficacy and toxicity of drugs
Feng, W., Liu, J., Ao, H., Yue, S., & Peng, C. Y. (2020) · Theranostics · doi:10.7150/thno.47289 · Cited by 131
Should There Be a Recommended Daily Intake of Microbes?
Marco, M. L., Hill, C., Hutkins, R. W., Slavin, J. L., Tancredi, D. J., Merenstein, D. J., & Sanders, M. E. (2020) · Journal of Nutrition · doi:10.1093/jn/nxaa323 · Cited by 121
Ojima, M. N., Jiang, L., Arzamasov, A. A., Yoshida, K., Odamaki, T., Xiao, J., Nakajima, A., Kitaoka, M., Hirose, J., Urashima, T., et al. (2022) · The ISME Journal · doi:10.1038/s41396-022-01270-3 · Cited by 118
Ng, S. C., Kamm, M. A., Yeoh, Y. K., Chan, P. K. S., Zuo, T., Tang, W., Sood, A., Andoh, A., Ohmiya, N., Zhou, Y., et al. (2019) · Gut · doi:10.1136/gutjnl-2019-319407 · Cited by 121
Koutoukidis, D. A., Jebb, S. A., Zimmerman, M., Otunla, A. A., Henry, J. A., Ferrey, A. E., Schofield, E., Kinton, J., Aveyard, P. N., & Marchesi, J. R. (2022) · Gut Microbes · doi:10.1080/19490976.2021.2020068 · Cited by 123
The potential of tailoring the gut microbiome to prevent and treat cardiometabolic disease
Chakaroun, R., Olsson, L. M., & Bäckhed, F. (2022) · Nature Reviews Cardiology · doi:10.1038/s41569-022-00771-0 · Cited by 131
Mazhar, M., Zhu, Y., & Qin, L. (2023) · Foods · doi:10.3390/foods12051023 · Cited by 119
Interactions between host genetics and gut microbiota determine susceptibility to CNS autoimmunity
Montgomery, T. L., Künstner, A., Kennedy, J. J., Fang, Q., Asarian, L., Culp‐Hill, R., D’Alessandro, A., Teuscher, C., Busch, H. S., & Krementsov, D. N. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2002817117 · Cited by 121
Turroni, S., Magnani, M., Pukar, K. C., Lesnik, P., Vidal, H., & Heer, M. A. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.553929 · Cited by 132
Gut microbiota and old age: Modulating factors and interventions for healthy longevity
Coman, V., & Vodnar, D. C. (2020) · Experimental Gerontology · doi:10.1016/j.exger.2020.111095 · Cited by 129
Li, F., Ye, J., Shao, C., & Zhong, B. (2021) · Lipids in Health and Disease · doi:10.1186/s12944-021-01440-w · Cited by 118
The gut microbiome as a target for IBD treatment: are we there yet
Knox, N. C., Forbes, J. D., Van Domselaar, G., & Bernstein, C. N. (2019) · Current Treatment Options in Gastroenterology · doi:10.1007/s11938-019-00221-w · Cited by 117
Hughes, R. L., Kable, M. E., Marco, M., & Keim, N. L. (2019) · Advances in Nutrition · doi:10.1093/advances/nmz049 · Cited by 117
Neutrality in the Metaorganism
Sieber, M., Pita, L., Weiland‐Bräuer, N., Dirksen, P., Wang, J., Mortzfeld, B. M., Franzenburg, S., Schmitz, R. A., Baines, J. F., Fraune, S., et al. (2019) · PLoS Biology · doi:10.1371/journal.pbio.3000298 · Cited by 117
Precision Medicine Goes Microscopic: Engineering the Microbiome to Improve Drug Outcomes
Lam, K. N., Alexander, M., & Turnbaugh, P. J. (2019) · Cell Host & Microbe · doi:10.1016/j.chom.2019.06.011 · Cited by 119
Antibiotic and pesticide susceptibility and the Anthropocene operating space
Living with Resistance project, Jørgensen, P. S., Aktipis, A., Brown, Z. S., Carrière, Y., Downes, S. J., Dunn, R. R., Epstein, G., Frisvold, G. B., Hawthorne, D. J., et al. (2018) · Nature Sustainability · doi:10.1038/s41893-018-0164-3 · Cited by 119
Gut-Brain Axis: Role of Microbiome, Metabolomics, Hormones, and Stress in Mental Health Disorders
Verma, A., Inslicht, S. S., & Bhargava, A. (2024) · Cells · doi:10.3390/cells13171436 · Cited by 137
Cardiometabolic health, diet and the gut microbiome: a meta-omics perspective
Valles-Colomer, M., Menni, C., Berry, S. E., Valdes, A. M., Spector, T. D., & Segata, N. (2023) · Nature Medicine · doi:10.1038/s41591-023-02260-4 · Cited by 114
LaPierre, N., Ju, C. J. ‐., Zhou, G., & Wang, W. W. (2019) · Methods · doi:10.1016/j.ymeth.2019.03.003 · Cited by 118
Fan, P. F., Nelson, C. D., Driver, J., Elzo, M. A., Peñagaricano, F., & Jeong, K. C. (2021) · The ISME Journal · doi:10.1038/s41396-021-00925-x · Cited by 126
Choi, B. S.-Y., Daniel, N., Houde, V. P., Ouellette, A., Marcotte, B., Varin, T. V., Vors, C., Feutry, P., Ilkayeva, O., Ståhlman, M., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23782-w · Cited by 114
Wang, X., Li, X., Zhang, L., An, L., Guo, L., Huang, L., & Gao, W. (2023) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2023.2248631 · Cited by 122
D’Urso, F., & Broccolo, F. (2024) · Applied Sciences · doi:10.3390/app14198627 · Cited by 112
Ito, T., Sekizuka, T., Kishi, N., Yamashita, A., & Kuroda, M. (2018) · Gut Microbes · doi:10.1080/19490976.2018.1491265 · Cited by 116
Gut Microbiota and Host Metabolism: From Proof of Concept to Therapeutic Intervention
Cani, P. D., de Hase, E. M., & Hul, M. V. (2021) · Microorganisms · doi:10.3390/microorganisms9061302 · Cited by 116
A correlation between intestinal microbiota dysbiosis and osteoarthritis
Szychlinska, M. A., Rosa, M. D., Castorina, A., Mobasheri, A., & Musumeci, G. (2019) · Heliyon · doi:10.1016/j.heliyon.2019.e01134 · Cited by 117
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
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