Cited by 745Gut microbiota and healthGenetic Associations and EpidemiologyGenomics and Phylogenetic Studies

Host genetic variation impacts microbiome composition across human body sites

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Blekhman, Ran, Goodrich, Julia K., Huang, Katherine, Sun, Qi, Bukowski, Robert, Bell, Jordana T., Spector, Timothy D., Keinan, Alon +3 more·2015·Genome Biology

Abstract

BACKGROUND: The composition of bacteria in and on the human body varies widely across human individuals, and has been associated with multiple health conditions. While microbial communities are influenced by environmental factors, some degree of genetic influence of the host on the microbiome is also expected. This study is part of an expanding effort to comprehensively profile the interactions between human genetic variation and the composition of this microbial ecosystem on a genome- and microbiome-wide scale. RESULTS: Here, we jointly analyze the composition of the human microbiome and host genetic variation. By mining the shotgun metagenomic data from the Human Microbiome Project for host DNA reads, we gathered information on host genetic variation for 93 individuals for whom bacterial abundance data are also available. Using this dataset, we identify significant associations between host genetic variation and microbiome composition in 10 of the 15 body sites tested. These associations are driven by host genetic variation in immunity-related pathways, and are especially enriched in host genes that have been previously associated with microbiome-related complex diseases, such as inflammatory bowel disease and obesity-related disorders. Lastly, we show that host genomic regions associated with the microbiome have high levels of genetic differentiation among human populations, possibly indicating host genomic adaptation to environment-specific microbiomes. CONCLUSIONS: Our results highlight the role of host genetic variation in shaping the composition of the human microbiome, and provide a starting point toward understanding the complex interaction between human genetics and the microbiome in the context of human evolution and disease.

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  • Host genetic variation is associated with variation in microbiome composition.

    “Host genetic variation has been shown to be associated with variation in the microbiome composition, but genome-wide approaches to identify individual genes and their role in shaping the microbiome are only beginning to emerge (Blekhman et al., 2015; Spor et al., 2011).”

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Research works printed but not linked: 56

  1. [1]The Human Microbiome Project Consortium Structure, function and diversity of the healthy human microbiome Nature 2012 486 207 14 10.1038/nature11234 22699609 PMC3564958 · DOI · Paper page
  2. [6]Faith JJ Guruge JL Charbonneau M Subramanian S Seedorf H Goodman AL The long-term stability of the human gut microbiota Science 2013 341 1237439 10.1126/science.1237439 23828941 PMC3791589 · DOI · Paper page
  3. [7]Turnbaugh PJ Hamady M Yatsunenko T Cantarel BL Duncan A Ley RE A core gut microbiome in obese and lean twins Nature 2009 457 480 4 10.1038/nature07540 19043404 PMC2677729 · DOI · Paper page
  4. [9]Marchesi JR Holmes E Khan F Kochhar S Scanlan P Shanahan F Rapid and noninvasive metabonomic characterization of inflammatory bowel disease J Proteome Res 2007 6 546 51 10.1021/pr060470d 17269711 · DOI
  5. [10]Kinross JM Darzi AW Nicholson JK Gut microbiome-host interactions in health and disease Genome Med 2011 3 14 10.1186/gm228 21392406 PMC3092099 · DOI
  6. [12]Koren O Goodrich Julia K Cullender Tyler C Spor A Laitinen K Kling Bäckhed H Host remodeling of the gut microbiome and metabolic changes during pregnancy Cell 2012 150 470 80 10.1016/j.cell.2012.07.008 22863002 PMC3505857 · DOI · Paper page
  7. [13]Turnbaugh PJ Ley RE Mahowald MA Magrini V Mardis ER Gordon JI An obesity-associated gut microbiome with increased capacity for energy harvest Nature 2006 444 1027 31 10.1038/nature05414 17183312 · DOI · Paper page
  8. [16]Vangay P Ward T Gerber JS Knights D Antibiotics, pediatric dysbiosis, and disease Cell Host Microbe 2015 17 553 64 10.1016/j.chom.2015.04.006 25974298 PMC5555213 · DOI
  9. [18]Morton ER, Lynch J, Froment A, Lafosse S, Heyer E, Przeworski M, et al. Variation in rural African gut microbiomes is strongly shaped by parasitism and diet. bioRxiv 2015. DOI: 10.1101/016949 PMC4664238 26619199 · DOI
  10. [20]Tung J, Barreiro LB, Burns MB, Grenier JC, Lynch J, Grieneisen LE, et al. Social networks predict gut microbiome composition in wild baboons. Elife. 2015;4 PMC4379495 25774601
  11. [21]Meadow JF Bateman AC Herkert KM O’Connor TK Green JL Significant changes in the skin microbiome mediated by the sport of roller derby Peer J 2013 1 e53 10.7717/peerj.53 23638391 PMC3628844 · DOI
  12. [22]Lax S Smith DP Hampton-Marcell J Owens SM Handley KM Scott NM Longitudinal analysis of microbial interaction between humans and the indoor environment Science 2014 345 1048 52 10.1126/science.1254529 25170151 PMC4337996 · DOI
  13. [23]Spor A Koren O Ley R Unravelling the effects of the environment and host genotype on the gut microbiome Nat Rev Micro 2011 9 279 90 10.1038/nrmicro2540 21407244 · DOI · Paper page
  14. [24]Khachatryan ZA Ktsoyan ZA Manukyan GP Kelly D Ghazaryan KA Aminov RI Predominant role of host genetics in controlling the composition of gut microbiota PLoS One 2008 3 e3064 10.1371/journal.pone.0003064 18725973 PMC2516932 · DOI
  15. [25]Li E Hamm CM Gulati AS Sartor RB Chen H Wu X Inflammatory bowel diseases phenotype, c. difficile and NOD2 genotype are associated with shifts in human ileum associated microbial composition PLoS One 2012 7 e26284 10.1371/journal.pone.0026284 22719818 PMC3374607 · DOI
  16. [26]Tong M McHardy I Ruegger P Goudarzi M Kashyap PC Haritunians T Reprograming of gut microbiome energy metabolism by the FUT2 Crohn’s disease risk polymorphism Isme J 2014 8 2193 206 10.1038/ismej.2014.64 24781901 PMC4992076 · DOI
  17. [27]Knights D Silverberg MS Weersma RK Gevers D Dijkstra G Huang H Complex host genetics influence the microbiome in inflammatory bowel disease Genome Med 2014 6 107 10.1186/s13073-014-0107-1 25587358 PMC4292994 · DOI · Paper page
  18. [28]Benson AK Kelly SA Legge R Ma F Low SJ Kim J Individuality in gut microbiota composition is a complex polygenic trait shaped by multiple environmental and host genetic factors Proc Natl Acad Sci U S A 2010 107 18933 8 10.1073/pnas.1007028107 20937875 PMC2973891 · DOI · Paper page
  19. [29]McKnite AM Perez-Munoz ME Lu L Williams EG Brewer S Andreux PA Murine gut microbiota is defined by host genetics and modulates variation of metabolic traits PLoS One 2012 7 e39191 10.1371/journal.pone.0039191 22723961 PMC3377628 · DOI
  20. [30]Ma J Coarfa C Qin X Bonnen PE Milosavljevic A Versalovic J mtDNA haplogroup and single nucleotide polymorphisms structure human microbiome communities BMC Genomics 2014 15 257 10.1186/1471-2164-15-257 24694284 PMC4234434 · DOI
  21. [31]Khor B Gardet A Xavier RJ Genetics and pathogenesis of inflammatory bowel disease Nature 2011 474 307 17 10.1038/nature10209 21677747 PMC3204665 · DOI
  22. [32]Virgin HW Todd JA Metagenomics and personalized medicine Cell 2011 147 44 56 10.1016/j.cell.2011.09.009 21962506 PMC4618802 · DOI
  23. [33]The Human Microbiome Project Consortium A framework for human microbiome research Nature 2012 486 215 21 10.1038/nature11209 22699610 PMC3377744 · DOI · Paper page
  24. [37]Yatsunenko T Rey FE Manary MJ Trehan I Dominguez-Bello MG Contreras M Human gut microbiome viewed across age and geography Nature 2012 486 222 7 22699611 PMC3376388
  25. [38]Ravussin Y Koren O Spor A LeDuc C Gutman R Stombaugh J Responses of gut microbiota to diet composition and weight loss in lean and obese mice Obesity (Silver Spring) 2012 20 738 47 10.1038/oby.2011.111 21593810 PMC3871199 · DOI · Paper page
  26. [40]Groschl M Topf HG Kratzsch J Dotsch J Rascher W Rauh M Salivary leptin induces increased expression of growth factors in oral keratinocytes J Mol Endocrinol 2005 34 353 66 10.1677/jme.1.01658 15821102 · DOI
  27. [41]Cerman AA Bozkurt S Sav A Tulunay A Elbasi MO Ergun T Serum leptin levels, skin leptin and leptin receptor expression in psoriasis Br J Dermatol 2008 159 820 6 10.1111/j.1365-2133.2008.08742.x 18637894 · DOI
  28. [42]Tadokoro S Ide S Tokuyama R Umeki H Tatehara S Kataoka S Leptin promotes wound healing in the skin PLoS One 2015 10 e0121242 10.1371/journal.pone.0121242 25799398 PMC4370705 · DOI
  29. [43]Zhu KJ Zhang C Li M Zhu CY Shi G Fan YM Leptin levels in patients with psoriasis: a meta-analysis Clin Exp Dermatol 2013 38 478 83 10.1111/ced.12171 23777488 · DOI
  30. [44]Song SY Woo HJ Bae CH Kim YW Kim YD Expression of leptin receptor in nasal polyps: leptin as a mucosecretagogue Laryngoscope 2010 120 1046 50 20422702
  31. [45]Swann JR Want EJ Geier FM Spagou K Wilson ID Sidaway JE Systemic gut microbial modulation of bile acid metabolism in host tissue compartments Proc Natl Acad Sci U S A 2011 108 4523 30 10.1073/pnas.1006734107 20837534 PMC3063584 · DOI · Paper page
  32. [47]Michail S Durbin M Turner D Griffiths AM Mack DR Hyams J Alterations in the gut microbiome of children with severe ulcerative colitis Inflamm Bowel Dis 2012 18 1799 808 10.1002/ibd.22860 22170749 PMC3319508 · DOI
  33. [48]Morgan XC Tickle TL Sokol H Gevers D Devaney KL Ward DV Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment Genome Biol 2012 13 R79 10.1186/gb-2012-13-9-r79 23013615 PMC3506950 · DOI · Paper page
  34. [49]Consortium G The Genotype-Tissue Expression (GTEx) project Nat Genet 2013 45 580 5 10.1038/ng.2653 23715323 PMC4010069 · DOI · Paper page
  35. [50]Moayyeri A Hammond CJ Hart DJ Spector TD The UK Adult Twin Registry (TwinsUK Resource) Twin Res Hum Genet 2013 16 144 9 10.1017/thg.2012.89 23088889 PMC3927054 · DOI
  36. [51]Parche S Beleut M Rezzonico E Jacobs D Arigoni F Titgemeyer F Lactose-over-glucose preference in Bifidobacterium longum NCC2705: glcP, encoding a glucose transporter, is subject to lactose repression J Bacteriol 2006 188 1260 5 10.1128/JB.188.4.1260-1265.2006 16452407 PMC1367232 · DOI
  37. [53]Quintana-Murci L Clark AG Population genetic tools for dissecting innate immunity in humans Nat Rev Immunol 2013 13 280 93 10.1038/nri3421 23470320 PMC4015519 · DOI
  38. [54]Ames SK Gardner SN Marti JM Slezak TR Gokhale MB Allen JE Using populations of human and microbial genomes for organism detection in metagenomes Genome Res 2015 25 1056 67 10.1101/gr.184879.114 25926546 PMC4484388 · DOI
  39. [55]Salzman NH Hung K Haribhai D Chu H Karlsson-Sjoberg J Amir E Enteric defensins are essential regulators of intestinal microbial ecology Nat Immunol 2010 11 76 83 10.1038/ni.1825 19855381 PMC2795796 · DOI · Paper page
  40. [56]Lupp C Robertson M Wickham M Sekirov I Champion O Gaynor E Host-mediated inflammation disrupts the intestinal microbiota and promotes the overgrowth of Enterobacteriaceae Cell Host Microbe 2007 2 119 29 10.1016/j.chom.2007.06.010 18005726 · DOI
  41. [57]Vijay-Kumar M Aitken JD Carvalho FA Cullender TC Mwangi S Srinivasan S Metabolic syndrome and altered gut microbiota in mice lacking Toll-like receptor 5 Science 2010 328 228 31 10.1126/science.1179721 20203013 PMC4714868 · DOI · Paper page
  42. [59]Garrett WS Lord GM Punit S Lugo-Villarino G Mazmanian SK Ito S Communicable ulcerative colitis induced by T-bet deficiency in the innate immune system Cell 2007 131 33 45 10.1016/j.cell.2007.08.017 17923086 PMC2169385 · DOI
  43. [60]Caricilli AM Picardi PK de Abreu LL Ueno M Prada PO Ropelle ER Gut microbiota is a key modulator of insulin resistance in TLR 2 knockout mice PLoS Biol 2011 9 e1001212 10.1371/journal.pbio.1001212 22162948 PMC3232200 · DOI
  44. [61]Leamy LJ Kelly SA Nietfeldt J Legge RM Ma F Hua K Host genetics and diet, but not immunoglobulin A expression, converge to shape compositional features of the gut microbiome in an advanced intercross population of mice Genome Biol 2014 15 552 10.1186/s13059-014-0552-6 25516416 PMC4290092 · DOI
  45. [64]DePristo MA Banks E Poplin R Garimella KV Maguire JR Hartl C A framework for variation discovery and genotyping using next-generation DNA sequencing data Nat Genet 2011 43 491 8 10.1038/ng.806 21478889 PMC3083463 · DOI
  46. [66]Keinan A Clark AG Recent explosive human population growth has resulted in an excess of rare genetic variants Science 2012 336 740 3 10.1126/science.1217283 22582263 PMC3586590 · DOI · Paper page
  47. [69]Wang K Li M Hakonarson H ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data Nucleic Acids Res 2010 38 e164 10.1093/nar/gkq603 20601685 PMC2938201 · DOI
  48. [72]Consortium TGO The Gene Ontology in 2010: extensions and refinements Nucleic Acids Res 2010 38 D331 5 10.1093/nar/gkp1018 19920128 PMC2808930 · DOI
  49. [75]Kanehisa M Goto S Sato Y Furumichi M Tanabe M KEGG for integration and interpretation of large-scale molecular data sets Nucleic Acids Res 2012 40 D109 14 10.1093/nar/gkr988 22080510 PMC3245020 · DOI · Paper page
  50. [79]Caporaso JG Kuczynski J Stombaugh J Bittinger K Bushman FD Costello EK QIIME allows analysis of high-throughput community sequencing data Nat Methods 2010 7 335 6 10.1038/nmeth.f.303 20383131 PMC3156573 · DOI · Paper page
  51. [80]Edgar RC Search and clustering orders of magnitude faster than BLAST Bioinformatics 2010 26 2460 1 10.1093/bioinformatics/btq461 20709691 · DOI
  52. [81]Caporaso JG Bittinger K Bushman FD DeSantis TZ Andersen GL Knight R PyNAST: a flexible tool for aligning sequences to a template alignment Bioinformatics 2010 26 266 7 10.1093/bioinformatics/btp636 19914921 PMC2804299 · DOI
  53. [82]Price MN Dehal PS Arkin AP FastTree 2--approximately maximum-likelihood trees for large alignments PLoS One 2010 5 e9490 10.1371/journal.pone.0009490 20224823 PMC2835736 · DOI · Paper page
  54. [84]Abecasis GR Cherny SS Cookson WO Cardon LR Merlin--rapid analysis of dense genetic maps using sparse gene flow trees Nat Genet 2002 30 97 101 10.1038/ng786 11731797 · DOI
  55. [85]Li MJ Wang LY Xia Z Wong MP Sham PC Wang J dbPSHP: a database of recent positive selection across human populations Nucleic Acids Res 2014 42 D910 6 10.1093/nar/gkt1052 24194603 PMC3965004 · DOI
  56. [86]dbPSHP: A database of recent positive selection across human populations. Available at: http://jjwanglab.org/dbpshp. PMC3965004 24194603

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Authors
Blekhman, R., Goodrich, J. K., Huang, K., Sun, Q., Bukowski, R., Bell, J. T., Spector, T. D., Keinan, A., Ley, R. E., Gevers, D., & Clark, A. G.
Affiliations
  • University of Minnesota (US)
  • Cornell University (US)
  • Broad Institute (US)
  • King's College London (GB)
Corresponding author
Blekhman, Ran
Venue
Genome Biology
Published
2015-09-15
Volume
16
Issue
1
Pages
191-191
ISSN
  • 1465-6906 (ISSN-L)
  • 1474-760X
OpenAlex
W1948774627
Cited by
745
References
22
Citations by year
2026: 46 · 2025: 65 · 2024: 42 · 2023: 65 · 2022: 70 · 2021: 87 · 2020: 70 · 2019: 83 · 2018: 71 · 2017: 84 · 2016: 55 · 2015: 5
FWCI
31.08
Type
journal article
Language
en
Open access
Locations
  • Genome biology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Research Portal (King's College London) (submittedVersion, cc-by)
Funders
  • National Institutes of Health (R01 DK093595, U54 HG004969)
  • Wellcome Trust
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 › Molecular Biology › Genomics and Phylogenetic Studies
Keywords
host genetic variation, human microbiome, microbiota composition, host-microbiome interactions, immune-related genes, inflammatory bowel disease, obesity-related disorders, Human Microbiome Project
MeSH terms
Bacteria, Humans, Genetic Variation, Genome, Human, Metagenomics, Microbiota

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