Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2017 Jan 15;145(Pt B):389-408.
doi: 10.1016/j.neuroimage.2015.11.057. Epub 2015 Dec 4.

ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide

Paul M Thompson  1 Ole A Andreassen  2 Alejandro Arias-Vasquez  3 Carrie E Bearden  4 Premika S Boedhoe  5 Rachel M Brouwer  6 Randy L Buckner  7 Jan K Buitelaar  8 Kazima B Bulayeva  9 Dara M Cannon  10 Ronald A Cohen  11 Patricia J Conrod  12 Anders M Dale  13 Ian J Deary  14 Emily L Dennis  15 Marcel A de Reus  6 Sylvane Desrivieres  16 Danai Dima  17 Gary Donohoe  18 Simon E Fisher  19 Jean-Paul Fouche  20 Clyde Francks  19 Sophia Frangou  21 Barbara Franke  22 Habib Ganjgahi  23 Hugh Garavan  24 David C Glahn  25 Hans J Grabe  26 Tulio Guadalupe  27 Boris A Gutman  15 Ryota Hashimoto  28 Derrek P Hibar  15 Dominic Holland  13 Martine Hoogman  29 Hilleke E Hulshoff Pol  6 Norbert Hosten  30 Neda Jahanshad  15 Sinead Kelly  15 Peter Kochunov  31 William S Kremen  32 Phil H Lee  33 Scott Mackey  34 Nicholas G Martin  35 Bernard Mazoyer  36 Colm McDonald  37 Sarah E Medland  35 Rajendra A Morey  38 Thomas E Nichols  39 Tomas Paus  40 Zdenka Pausova  41 Lianne Schmaal  42 Gunter Schumann  16 Li Shen  43 Sanjay M Sisodiya  44 Dirk J A Smit  45 Jordan W Smoller  46 Dan J Stein  47 Jason L Stein  48 Roberto Toro  49 Jessica A Turner  50 Martijn P van den Heuvel  6 Odile L van den Heuvel  5 Theo G M van Erp  51 Daan van Rooij  52 Dick J Veltman  5 Henrik Walter  53 Yalin Wang  54 Joanna M Wardlaw  55 Christopher D Whelan  15 Margaret J Wright  56 Jieping Ye  57 ENIGMA Consortium
Affiliations
Review

ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide

Paul M Thompson et al. Neuroimage. .

Abstract

In this review, we discuss recent work by the ENIGMA Consortium (http://enigma.ini.usc.edu) - a global alliance of over 500 scientists spread across 200 institutions in 35 countries collectively analyzing brain imaging, clinical, and genetic data. Initially formed to detect genetic influences on brain measures, ENIGMA has grown to over 30 working groups studying 12 major brain diseases by pooling and comparing brain data. In some of the largest neuroimaging studies to date - of schizophrenia and major depression - ENIGMA has found replicable disease effects on the brain that are consistent worldwide, as well as factors that modulate disease effects. In partnership with other consortia including ADNI, CHARGE, IMAGEN and others1, ENIGMA's genomic screens - now numbering over 30,000 MRI scans - have revealed at least 8 genetic loci that affect brain volumes. Downstream of gene findings, ENIGMA has revealed how these individual variants - and genetic variants in general - may affect both the brain and risk for a range of diseases. The ENIGMA consortium is discovering factors that consistently affect brain structure and function that will serve as future predictors linking individual brain scans and genomic data. It is generating vast pools of normative data on brain measures - from tens of thousands of people - that may help detect deviations from normal development or aging in specific groups of subjects. We discuss challenges and opportunities in applying these predictors to individual subjects and new cohorts, as well as lessons we have learned in ENIGMA's efforts so far.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
Recent genome-wide association studies (GWAS) of brain disorders and brain structure. Part A shows the Manhattan plot from a 2014 Nature meta-analysis conducted by the Psychiatric Genomics Consortium. The genetic variants are presented on the x-axis, and the height of the dots shows the strength of association between each genetic variant and schizophrenia. A negative log p-value scale is used: higher points denote stronger associations. The group identified 108 schizophrenia-associated genetic loci in a sample of 34,241 cases and 45,604 controls (red line = genome-wide significance level, conventionally set at p = 5×10–8; green SNPs = polymorphisms in linkage disequilibrium with index SNPs (diamonds), which indicate independent genome-wide significant signals). Part B 26 loci significantly associated with risk of Parkinson's Disease (Nalls et al., 2015), in 13,708 cases and 95,282 controls (red SNPs = genome-wide significant signals). Part C 19 loci significantly associated with risk of AD, in a sample of 17,008 cases and 37,154 controls (Lambert et al., Nature Genetics, 2013; genes identified by previous GWAS are shown in black; newly associated genes in red; red diamonds indicate SNPs with the smallest overall p-values in the analysis). Part D shows genome-wide associations for eight subcortical structures, conducted by the ENIGMA consortium in 30,717 individuals from 50 cohorts worldwide (Hibar et al., Nature, 2015). This study identified five novel genetic variants associated with differences in the volumes of the putamen and caudate nucleus and stronger evidence for three previously established influences on hippocampal volume (see Stein et al., Nature Genetics, 2012) and intracranial volume (see Ikram et al., Nature Genetics, 2012). Each Manhattan plot in Part D is color-coded to match its corresponding subcortical structure, shown in the middle row. The gray dotted line represents genome-wide significance at the standard p = 5×10–8; the red dotted line shows a multiple-comparison corrected threshold of p = 7.1 × 10–9. [Images are reproduced here with permission from MacMillan Publishers Ltd (Nature Genetics, 2012 & 2013; Nature, 2014 & 2015) and with permission from the corresponding authors.]
Fig. 2
Fig. 2. ENIGMA Map
The ENIGMA consortium now consists of over 30 Working Groups made up of 500 scientists from over 200 institutions and 35 countries; several of these Working Groups have several ongoing secondary projects, led by different investigators. Here we show 12 of the working groups, focusing on specific diseases and methodologies, including ADHD, autism, addiction, bipolar disorder, diffusion tensor imaging, epilepsy, HIV, major depressive disorder, OCD, PTSD and schizophrenia. Centers where individuals are scanned and genotyped are denoted with color-coded pins (legend, bottom left).
Fig. 3
Fig. 3. ENIGMA Roadmap
The current organization of ENIGMA's Working Groups is shown here. Several groups relate brain measures to variation in the genome, and specialized groups are dedicated to helping members run analyses of genome-wide SNP data, copy number variants, and epigenetic markers on the genome. In parallel, there are psychiatric and neurology working groups dedicated to the study of worldwide data from a range of diseases. As shown here in detail for the schizophrenia working group, there are secondary projects, to relate brain variation to specific symptoms or clinical measures. In parallel, support groups coordinate large scale efforts to harmonize DTI (diffusion tensor imaging) and related brain data (Jahanshad et al., 2014). Partnerships between the DTI and Genomics groups are leading to genome-wide screens of DTI measures in over 13,000 people; cross-disorder partnerships study brain features that may relate to diagnostic boundaries, or common co-morbidities, allowing factors driving brain variations to be disentangled.
Fig. 4
Fig. 4
ENIGMA's studies of brain differences in disease revealed consistent patterns of subcortical volume differences across multiple cohorts with schizophrenia and major depression (data reproduced, with permission, from van Erp et al., 2015; Schmaal et al., 2015, Molecular Psychiatry). Here we show the effect sizes (Cohen's d), for the mean volume difference between patients and matched controls, for a range of brain structures measured from MRI. After meta-analysis of all cohorts, in schizophrenia, a range of subcortical structures showed volumetric differences, including hypertrophy, which may be due in part to antipsychotic treatment. In major depression, the hippocampus is smaller in the depressed groups. Such data, for these and other brain measures, is now being compiled and analyzed across 12 disorders in ENIGMA (see Table 1 for a summary), and may be useful for classification, so long as relevant confounds, site effects, and co-morbidities are appropriately modeled and understood.
Fig. 5
Fig. 5. Meta-Analyzing Statistical Brain Maps
As in other fields of brain mapping, voxel-based statistical analyses can map statistical associations between predictors and brain signals. To meta-analyze maps of statistical associations across sites, Jahanshad et al. (2015a,, proposed a method whereby each site aligns data to their own brain template (mean deformation template, or MDT). Statistics from each site are meta-analyzed at each voxel, after a second round of registration to an overall mean template (computed here from 4 cohorts representing different parts of the lifespan). Analyses proceed in parallel, using computational resources across all sites; analyses are updated when a new site joins. This approach applies equally to voxel-based maps of function, and the ENIGMA-Shape working group has modified it to work with surface-based coordinates (Gutman et al., 2015a,b,c). If structural labels are used to drive the multi-channel registration (top panels), in conjunction with an approach such as tensor-based morphometry, the resulting local volumetric measures should closely mirror volumetric findings for specific regions of interest. As such, some results of brain-wide genome-wide searches can be checked by consulting genome-wide association results for specific regions of interest (Hibar et al., 2015a,; Adams and the CHARGE and ENIGMA2 Consortia, submitted for publication).

References

    1. Adams H, the CHARGE and ENIGMA2 Consortia. Adams Dr. Hieab, Hibar Dr. Derrek, Chouraki Dr. Vincent, Stein Dr. Jason, Nyquist Dr. Paul, Renteria Dr. Miguel, Trompet Dr. Stella, Arias-Vasquez Dr. Alejandro, Seshadri Dr. Sudha, Desrivieres Dr. Sylvane, Beecham Dr. Ashley, Jahanshad Dr. Neda, Wittfeld Dr. Katharina, Van der Lee Dr. Sven, Abramovic Ms. Lucija, Alhusaini Dr. Saud, Amin Dr. Najaf, Andersson Dr. Micael, Arfanakis Dr. Konstantinos, Aribisala Dr. Benjamin, Armstrong Dr. Nicola, Athanasiu Lavinia, Axelsson Dr. Tomas, Beiser Dr. Alexa, Bernard Ms. Manon, Bis Dr. Joshua, Blanken Dr. Laura, Blanton Dr. Susan, Bohlken Mr. Marc, Boks Dr. Marco, Bralten Dr. Janita, Brickman Dr. Adam, Carmichael Dr. Owen, Chakravarty Dr. Mallar, Chauhan Dr. Ganesh, Chen Dr. Qiang, Ching Dr. Christopher, Cuellar-Partida Dr. Gabriel, den Braber Dr. Anouk, Trung Doan Dr. Nhat, Ehrlich Dr. Stefan, Filippi Dr. Irina, Ge Tian, Giddaluru Dr. Sudheer, Goldman Dr. Aaron, Gottesman Dr. Rebecca, Greven Dr. Corina, Grimm Dr. Oliver, Griswold Dr. Michael, Guadalupe Dr. Tulio, Hass Johanna, Haukvik Unn, Hilal Dr. Saima, Hofer Dr. Edith, Hoehn Dr. David, Holmes Dr. Avram, Hoogman Dr. Martine, Janowitz Dr. Deborah, Jia Dr. Tianye, Karbalai Dr. Nazanin, Kasperaviciute Dr. Dalia, Kim Dr. Sungeun, Marieke Klein Miss, Kraemer Mr. Bernd, Lee Dr. Phil, Liao Dr. Jiemin, Liewald Mr. David, Lopez Dr. Lorna, Luciano Dr. Michelle, Macare Ms. Christine, Marquand Dr. Andre, Matarin Dr. Mar, Mather Dr. Karen, Mattheisen Manuel, Mazoyer Dr. Bernard, McKay Dr. David, McWhirter Dr. Rebekah, Milaneschi Dr. Yuri, Muetzel Dr. Ryan, Muñoz Maniega Dr. Susana, Nho Dr. Kwangsik, Nugent Dr. Allison, Loohuis Dr. Loes Olde, Oosterlaan Dr. Jaap, Papmeyer Dr. Martina, Pappa Dr. Irene, Pirpamer Dr. Lukas, Pudas Dr. Sara, Pütz Dr. Benno, Rajan Dr. Kumar, Ramasamy Dr. Adaikalavan, Richards Dr. Jennifer, Risacher Dr. Shannon, Roiz-Santiañez Dr. Roberto, Rommelse Dr. Nanda, Rose Dr. Emma, Natalie Royle Miss, Rundek Dr. Tatjana, Sämann Dr. Philipp, Satizabal Dr. Claudia, Schmaal Dr. Lianne, Schork Mr. Andrew, Shen Dr. Li, Shin Dr. Jean, Shumskaya Dr. Elena, Smith Dr. Albert, Sprooten Dr. Emma, Strike Dr. Lachlan, Teumer Dr. Alexander, Thomson Dr. Russell, Tordesillas-Gutierrez Dr. Diana, Toro Mr. Roberto, Trabzuni Dr. Daniah, Vaidya Dr. Dhananjay, Van der Grond Dr. Jeroen, Van der Meer Dr. Dennis, Van Donkelaar Dr. Marjolein, Van Eijk Dr. Kristel, van Erp Dr. Theo, Van Rooij Dr. Daan, Walton Esther, Tjelta Westlye Dr. Lars, Whelan Dr. Christopher, Windham Dr. Beverly, Winkler Dr. Anderson, Woldehawariat Dr. Girma, Wolf Dr. Christiane, Wolfers Dr. Thomas, Xu Dr. Bing, Yanek Dr. Lisa, Yang Dr. Jingyun, Zijdenbos Dr. Alex, Zwiers Dr. Marcel, Agartz Ms. Ingrid, Aggarwal Dr. Neelum, Almasy Dr. Laura, Ames Dr. David, Amouyel Philippe, Andreassen Prof. Ole, Arepalli Dr. Sampath, Assareh Amelia, Barral Dr. Sandra, Bastin Dr. Mark, Becker Dr. James, Becker Dr. Diane, Bennett Dr. David, Blangero Dr. John, Bokhoven Dr. Hans, Boomsma Dr. Dorret, Brodaty Prof. Henry, Brouwer Dr. Rachel, Brunner Prof. Han, Buckner Dr. Randy, Buitelaar Dr. Jan, Bulayeva Dr. Kazima, Cahn Mrs. Wiepke, Calhoun Dr. Vince, Cannon Dara, Cavalleri Dr. Gianpiero, Chen Dr. Christopher, Cheng Dr. Ching-Yu, Cichon Prof. Sven, Cookson Dr. Mark, Corvin Dr. Aiden, Crespo-Facorro Benedicto, Curran Dr. Joanne, Czisch Michael, Dale Dr. Anders, Davies Dr. Gareth, de Geus Prof. Eco, De Jager Dr. Philip, De Zubicaray Dr. Greig, Delanty Dr. Norman, Depondt Dr. Chantal, DeStefano Dr. Anita, Dillman Dr. Allissa, Djurovic Dr. Srdjan, Donohoe Dr. Gary, Drevets Dr. Wayne, Duggirala Dr. Ravi, Dyer Dr. Thomas, Erk Dr. Susanne, Espeseth Dr. Thomas, Evans Dr. Denis, Fedko Dr. Iryna, Fernández Guillén, Ferrucci Dr. Luigi, Fisher Prof. Simon, Fleischman Dr. Debra, Ford Dr. Ian, Foroud Dr. Tatiana, Fox Dr. Peter, Francks Dr. Clyde, Fukunaga Masaki, Gibbs J, Glahn Dr. David, Gollub Dr. Randy, Göring Dr. Harald, Grabe Dr. Hans, Green Dr. Robert, Gruber Dr. Oliver, Guelfi Mr. Manuel, Hansell Dr. Narelle, Hardy John, Hartman Dr. Catharina, Hashimoto Dr. Ryota, Hegenscheid Dr. Katrin, Heinz Dr. Andreas, Hellard Dr. Stephanie, Hernandez Dr. Dena, Heslenfeld Dr. Dirk, Ho Dr. Beng-Choon, Hoekstra Prof. Pieter, Hoffmann Dr. Wolfgang, Hofman Prof. Albert, Holsboer Dr. Florian, Homuth Dr. Georg, Hosten Dr. Norbert, Hottenga Dr. Jouke, Hulshoff Pol Dr. Hilleke, Ikeda Dr. Masashi, Ikram Dr. M Kamran, Jack Dr. Clifford, Jenkinson Dr. Mark, Johnson Dr. Robert, Jonsson Erik, Jukema Prof. J Wouter, Kahn Dr. Rene, Kanai Ryota, Kloszewska Dr. Iwona, Knopman David, Kochunov Dr. Peter, Kwok John, Launer Dr. Lenore, Lawrie Dr. Stephen, Lemaître Hervé, Liu Dr. Xinmin, Longo Dr. Dan, Longstreth Dr. WT, Jr, Lopez Dr. Oscar, Lovestone Dr. Simon, Martinez Dr. Oliver, Martinot Dr. Jean-Luc, Mattay Venkata, McDonald, Prof Prof. Colm, McIntosh Andrew, McMahon Dr. Francis, McMahon Dr. Katie, mecocci Prof. patrizia, Melle Dr. Ingrid, Meyer-Lindenberg Prof. Andreas, Mohnke Mr. Sebastian, Montgomery Dr. Grant, Morris Dr. Derek, Mosley Dr. Thomas, Mühleisen Dr. Thomas, Müller-Myhsok Dr. Bertram, Nalls Dr. Michael, Nauck Dr. Matthias, Nichols Dr. Thomas, Niessen, Prof Prof. Wiro, Nöthen Markus, Nyberg Prof. Lars, Ohi Dr. Kazutaka, Olvera Dr. Rene, Ophoff Roel, Pandolfo Dr. Massimo, Paus Dr. Tomas, Pausova Dr. Zdenka, Penninx Prof. Brenda, Pike Dr. G Bruce, Potkin Prof. Steven, Psaty Dr. Bruce, Reppermund Dr. Simone, Rietschel Prof. Marcella, Roffman Dr. Joshua, Romanczuk-Seiferth Dr. Nina, Rotter Dr. Jerome, Ryten Dr. Mina, Sacco Dr. Ralph, Sachdev Prof. Perminder, Saykin Dr. Andrew, Schmidt Dr. Reinhold, Schofield Dr. Peter, Sigursson Dr. Sigurdur, Simmons Dr. Andrew, Singleton Dr. Andrew, Sisodiya Prof. Sanjay, Smith Dr. Colin, Smoller Dr. Jordan, Soininen Prof. Hilkka, Srikanth Dr. Velandai, Steen Dr. Vidar, Stott Dr. David, Sussmann Jess, Thalamuthu Dr. Anbupalam, Tiemeier Dr. Henning, Toga Dr. Arthur, Traynor Dr. Bryan, Troncoso Dr. Juan, Turner Jessica, Tzourio Dr. Christophe, Uitterlinden André, Valdés Hernández Dr. Maria, Van der Brug Dr. Marcel, van der Lugt Prof. Aad, van der Wee Dr. Nic, van Duijn Prof. Cornelia, van Haren Dr. Neeltje, van 't Ent Dr. Dennis, Van Tol Dr. Marie-Jose, Vardarajan Dr. Badri, Veltman Dr. Dick, Vernooij Dr. Meike, Völzke Dr. Henry, Walter Henrik, Wardlaw Prof. Joanna, Wassink Dr. Thomas, Weale Mike, Weinberger Dr. Daniel, Weiner Prof. Michael, Wen Dr. Wei, Westman Dr. Eric, White Dr. Tonya, Wong Dr. Tien, Wright Dr. Clinton, Dr. Ronal Common genetic variation underlying human intracranial volume highlights developmental influences and continued relevance during late life. 2015 submitted for publication, October 2015.
    1. Ahmed M, Cannon DM, Scanlon C, Holleran L, Schmidt H, McFarland J, Langan C, McCarthy P, Barker GJ, Hallahan B, McDonald C. Progressive brain atrophy and cortical thinning in schizophrenia after commencing clozapine treatment. Neuropsychopharmacology. 2015. (Apr 1, Epub ahead of print) - DOI - PMC - PubMed
    1. Aristotle (350 BCE), d. Metaphysics α. available online at http://www.isnature.org/Files/Aristotle/.
    1. Ashbrook DG, Williams RW, Lu L, Stein JL, Hibar DP, Nichols TE, Medland SE, Thompson PM, Hager R. Joint genetic analysis of hippocampal size in mouse and human identifies a novel gene linked to neurodegenerative disease. BMC Genomics. 2014;15:850. doi: 10.1186/1471-2164-15-850. (Oct 3) - DOI - PMC - PubMed
    1. Backhouse EV, McHutchison CA, Cvoro V, Shenkin SD, Wardlaw JM. Early life risk factors for stroke and cognitive impairment. Curr. Epidemiol. Rep. 2015. - DOI

Publication types

MeSH terms