Imaging genomics

Current Opinion in Neurology

Volumn 23, Issue 4, 2010, Pages 368-373

  Thompson, Paul M ^a   Martin, Nicholas G ^b   Wright, Margaret J ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b QIMR BERGHOFER MEDICAL RESEARCH INSTITUTE   (Australia)

Author keywords

diffusion imaging; genome wide association study; heritability; MRI; twins

Indexed keywords

BRAIN FUNCTION; BRAIN MAPPING; BRAIN SIZE; COGNITION; DEMENTIA; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GENE IDENTIFICATION; GENETIC ASSOCIATION; GENOMICS; GENOTYPE; HIGH ANGULAR RESOLUTION DIFFUSION IMAGING; HIPPOCAMPUS; HUMAN; MENTAL DISEASE; NEUROIMAGING; PEDIGREE; PHENOTYPE; REPRODUCIBILITY; REVIEW; TWINS;

BRAIN; BRAIN MAPPING; DIAGNOSTIC IMAGING; GENE EXPRESSION REGULATION, DEVELOPMENTAL; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; HUMANS; MAGNETIC RESONANCE IMAGING; MENTAL DISORDERS; PHENOTYPE;

EID: 77954620267     PISSN: 13507540     EISSN: None     Source Type: Journal    
DOI: 10.1097/WCO.0b013e32833b764c     Document Type: Review

References (74)

1. Potkin SG, Guffanti G, Lakatos A, et al. Hippocampal atrophy as a quantitative trait in a genome-wide association study identifying novel susceptibility genes for Alzheimer's disease. PLoS One 2009; 4:e6501.
2. Shen L, Kim S, Risacher SL, et al. Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: a study of the ADNI cohort. Neuroimage 2010 [Epub ahead of print].
3. Kochunov P, Glahn DC, Lancaster J, et al. 2010. Genetics of microstructure of cerebral white matter using diffusion tensor imaging. NeuroImage 2010 [Epub ahead of print].
4. Stein JL, Hua X, Lee S, et al. Voxelwise genome-wide association study (vGWAS). NeuroImage 2010 [Epub ahead of print].
5. Blokland GAM, McMahon KL, Hoffman J, et al. Quantifying the heritability of task-related brain activation and performance during the N-back working memory task: a twin fMRI study. Biol Psychiatry 2008; 79:70-79.
6. Koten JW Jr, Wood G, Hagoort P, et al. Genetic contribution to variation in cognitive function: an fMRI study in twins. Science 2009; 323:1737-1740.
7. Esslinger C, Walter H, Kirsch P, et al. Neural mechanisms of a genome-wide supported psychosis variant. Science 2009; 324:605.
8. Glahn DC, Winkler AM, Kochunov P, et al. Genetic control over the resting brain. Proc Natl Acad Sci USA 2010; 107:1223-1228.
9. Patel V, Chiang MC, Thompson PM, et al. Scalar connectivity measures from fast marching tractography reveal heritability of white matter architecture. ISBI 2010, Rotterdam, The Netherlands, April 14-17, 2010 [4 pages; peer-reviewed paper].
10. Chiang MC, Barysheva M, Lee AD, et al. Genetics of brain fiber architecture and intelligence. J Neurosci 2009; 29:2212-2224.
11. Posthuma D, De Geus EJ, Baare WF, et al. The association between brain volume and intelligence is of genetic origin. Nat Neurosci 2002; 5:83-84.
12. Wallace GL, Lee NR, Prom-Wormley EC, et al. A bivariate twin study of regional brain volumes and verbal and nonverbal intellectual skills during childhood and adolescence. Behav Genet 2010; 40:125-134.
13. Dufour F, Schaer M, Debbane M, et al. Cingulate gyral reductions are related to low executive functioning and psychotic symptoms in 22q 11.2 deletion syndrome. Neuropsychologia 2008; 46:2986-2992.
14. Bearden CE, van Erp TGM, Thompson PM, et al. Cortical mapping of genotype-phenotype relationships in schizophrenia. Hum Brain Mapp 2007; 28:519-532.
15. Lightbody AA, Reiss AL. Gene, brain, and behavior relationships in fragile X syndrome: evidence from neuroimaging studies. Dev Disabil Res Rev 2009; 15:343-352.
16. Lee AD, Leow AD, Lu A, et al. 3D pattern of brain abnormalities in fragile X syndrome visualized using tensor-based morphometry. NeuroImage 2007; 34:924-938.
17. Thompson PM, Lee AD, Dutton RA, et al. Abnormal cortical complexity and thickness profiles mapped in Williams syndrome. J Neurosci 2005; 25:4146-4158.
18. Van Essen DC, Dierker D, Snyder AZ, et al. Symmetry of cortical folding abnormalities in Williams syndrome revealed by surface-based analyses. J Neurosci 2006; 26:5470-5483.
19. Marenco S, Radulescu E. Imaging genetics of structural brain connectivity and neural integrity markers. Neuroimage 2009 [Epub ahead of print].
20. Peper JS, Brouwer RM, Boomsma DI, et al. Genetic influences on human brain structure: a review of brain imaging studies in twins. Hum Brain Mapp 2007; 28:464-473.
21. Schmitt JE, Wallace GL, Lenroot RK, et al. A twin study of intracerebral volumetric relationships. Behav Genet 2010; 40:114-124.
22. Kremen WS, Prom-Wormley E, Panizzon MS, et al. Genetic and environmental influences on the size of specific brain regions in midlife: the VETSA MRI study. Neuroimage 2010; 49:1213-1223.
23. Gilmore JH, Schmitt JE, Knickmeyer RC, et al. Genetic and environmental contributions to neonatal brain structure: a twin study. Hum Brain Mapp 2010 [Epub ahead of print].
24. Rimol LM, Panizzon MS, Fennema-Notestine C, et al. Cortical thickness is influenced by regionally specific genetic factors. Biol Psychiatry 2010; 67:493-499.
25. Panizzon MS, Fennema-Notestine C, Eyler LT, et al. Distinct genetic influences on cortical surface area and cortical thickness. Cereb Cortex 2009; 19:2728-2735.
26. Winkler AM, Kochunov P, Blangero J, et al. Cortical thickness or grey matter volume The importance of selecting the phenotype for imaging genetics studies. Neuroimage 2009 [Epub ahead of print].
27. Schmitt JE, Lenroot RK, Wallace GL, et al. Identification of genetically mediated cortical networks: a multivariate study of pediatric twins and siblings. Cereb Cortex 2008; 18:1737-1747.
28. Schmitt JE, Lenroot RK, Ordaz SE, et al. Variance decomposition of MRI-based covariance maps using genetically informative samples and structural equation modeling. Neuroimage 2009; 47:56-64.
29. Toro R, Chupin M, Garnero L, et al. Brain volumes and Val66Met polymorphism of the BDNF gene: local or global effects Brain Struct Funct 2009; 213:501-509.
30. Neale MC, Cardon LR. Methodology for genetic studies of twins and families. Dordrecht, the Netherlands: Kluwer Academic Publishers; 1992.
31. Almasy L, Blangero J. Multipoint quantitative-trait linkage analysis in general pedigrees. Am J Hum Genet 1998; 62:1198-1211.
32. Thompson PM, Cannon TD, Narr KL, et al. Genetic influences on brain structure. Nature Neurosci 2001; 4:1253-1258.
33. Pietilainen OPH, Paunio T, Loukola A, et al. Association of AKT1 with verbal learning, verbal memory and regional cortical grey matter density in twins. Am J Med Genet B Neuropsychiatr Genet 2009; 150B:683-692.
34. Hulshoff Pol HE, Schnack HG, Posthuma D, et al. Genetic contributions to human brain morphology and intelligence. J Neurosci 2006; 26:10235-10242.
35. Brun CC, Leporé N, Pennec X, et al. Mapping the regional influence of genetics on brain structure variability: a tensor-based morphometry study. NeuroImage 2009; 48:37-49.
36. Lenroot RK, Schmitt JE, Ordaz SJ, et al. Differences in genetic and environmental influences on the human cerebral cortex associated with development during childhood and adolescence. Hum Brain Mapp 2009; 30:163-174.
37. McClearn GE, Johansson B, Berg S, et al. Substantial genetic influence on cognitive abilities in twins 80 or more years old. Science 1997; 276:1560-1563.
38. Haworth CM, Wright MJ, Luciano M, et al. The heritability of general cognitive ability increases linearly from childhood to young adulthood. Mol Psychiatry 2009 [Epub ahead of print].
39. Pievani M, Rasser PE, Galluzzi S, et al. Mapping the effect of APOE4 on grey matter loss in Alzheimer's disease in vivo. NeuroImage 2009; 45:1090-1098.
40. Schuff N, Woerner N, Boreta L, et al. MRI of hippocampal volume loss in early Alzheimer's disease in relation to ApoE genotype and biomarkers. Brain 2009; 132:1067-1077.
41. Hua X, Leow AD, Parikshak N, et al. Tensor-based morphometry as a neuroimaging biomarker for Alzheimer's disease: an MRI study of 676 AD, MCI, and normal subjects. NeuroImage 2008; 43:458-469.
42. Reiman EM, Chen K, Liu X, et al. Fibrillar amyloid-beta burden in cognitively normal people at 3 levels of genetic risk for Alzheimer's disease. Proc Natl Acad Sci USA 2009; 106:6820-6825.
43. Bookheimer S, Burggren A. APOE-4 genotype and neurophysiological vulnerability to Alzheimer's and cognitive aging. Annu Rev Clin Psychol 2009; 5:343-362.
44. Shaw P, Lerch JP, Pruessner JC, et al. Cortical morphology in children and adolescents with different apolipoprotein E gene polymorphisms: an observational study. Lancet Neurol 2007; 6:494-500.
45. Filippini N, Zarei M, Beckmann CF, et al. Regional atrophy of transcallosal prefrontal connections in cognitively normal APOE epsilon4 carriers. J Magn Reson Imaging 2009; 29:1021-1026.
46. Pezawas L, Verchinski BA, Mattay VS, et al. The brain-derived neurotrophic factor val66met polymorphism and variation in human cortical morphology. J Neurosci 2004; 24:10099-10102.
47. Chiang MC, Avedissian C, Barysheva M, et al. Extending genetic linkage analysis to diffusion tensor images to map single gene effects on brain fiber architecture, medical image computing and computer assisted intervention (MICCAI2009), London, UK, Sept. 2009 [8 pages].
48. Shaw P, Wallace GL, Addington A, et al. Effects of the Val158Met catechol-O-methyltransferase polymorphism on cortical structure in children and adolescents. Mol Psychiatry 2009; 14:348-349.
49. Ehrlich S, Morrow EM, Roffman JL, et al. The COMT Val108/158Met polymorphism and medial temporal lobe volumetry in patients with schizophrenia and healthy adults. Neuroimage 2009 [Epub ahead of print].
50. Elvevag B, Weinberger DR. Introduction: genes, cognition and neuro-psychiatry. Cogn Neuropsychiatry 2009; 14 (4-5):261-276.
51. Thomason ME, Dougherty RF, Colich NL, et al. COMT genotype affects prefrontal white matter pathways in children and adolescents. Neuroimage 2010 [Epub ahead of print].
52. Bédard AC, Schulz KP, CookEHJr,et al. Dopaminetransporter gene variation modulates activation of striatum in youth with ADHD. Neuroimage 2009 [Epub ahead of print].
53. Blasi G, Lo Bianco L, Taurisano P, et al. Functional variation of the dopamine D2 receptor gene is associated with emotional control as well as brain activity and connectivity during emotion processing in humans. J Neurosci 2009; 29:14812-14819.
54. Hariri AR, Mattay VS, Tessitore A, et al. Serotonin transporter genetic variation and the response of the human amygdala. Science 2002; 297:400-403.
55. Ho AJ, Stein JL, Hua X, et al. A commonly carried allele of the obesity-related FTO gene is associated with reduced brain volume in the healthy elderly. Proc Natl Acad Sci USA 2010; 107:8404-8409.
56. Raji CA, Ho AJ, Parikshak N, et al. Brain structure and obesity. Hum Brain Mapp 2009 [Epub ahead of print].
57. Stein JL, Hua X, Morra JH, et al. Genome-wide association study of temporal lobe structure identifies novel quantitative trait loci for neurodegeneration in Alzheimer's disease. Neuroimage 2010; 51:542-554.
58. Purcell S, Neale B, Todd-Brown K, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 2007; 81:559-575.
59. Parsons CG, Stoffler A, Danysz W. Memantine: a NMDA receptor antagonist that improves memory by restoration of homeostasis in the glutamatergic system: too little activation is bad, too much is even worse. Neuropharmacology 2007; 53:699-723.
60. Dickson SP, Wang K, Krantz I, et al. Rare variants create synthetic genome-wide associations. PLoS Biol 2010; 8:e1000294.
61. Choi M, Scholl UI, Ji W, et al. Genetic diagnosis by whole exome capture and massively parallel DNA sequencing. Proc Natl Acad Sci USA 2009; 106:19096-19101.
62. Meda SA, Jagannathan K, Gelernter J, et al. A pilot multivariate parallel ICA study to investigate differential linkage between neural networks and genetic profiles in schizophrenia. Neuroimage 2009 [Epub ahead of print].
63. Lee AD, Lepore N, de Leeuw J, et al. Multivariate variance-components analysis in DTI. ISBI 2010, Rotterdam, The Netherlands, April 14-17, 2010 [4 pages; peer-reviewed paper].
64. Langers DR, Jansen JF, Backes WH. Enhanced signal detection in neuroima-ging by means of regional control of the global false discovery rate. Neuroimage 2007; 38:43-56.
65. Chiang MC, Barysheva M, Toga AW, et al. 2010. BDNF effects on brain fiber microstructure replicated in two twin samples (N= 455). Organization for Human Brain Mapping, Barcelona, Spain; 2010.
66. Wray NR, Goddard ME, Visscher PM. Prediction of individual genetic risk to disease from genome-wide association studies. Genome Res 2007; 17:1520-1528.
67. Bertolino A, Fazio L, Di Giorgio A, et al. Genetically determined interaction between the dopamine transporter and the D2 receptor on prefronto-striatal activity and volume in humans. J Neurosci 2009; 29:1224-1234.
68. Pezawas L, Meyer-Lindenberg A, Goldman AL, et al. Evidence of biologic epistasis between BDNF and SLC6A4 and implications for depression. Mol Psychiatry 2008; 13:709-716.
69. BigosKL, Weinberger DR. Imaging genetics: days of future past. Neuroimage 2010 [Epub ahead of print].
70. McCarthy MI, Abecasis GR, Cardon LR, et al. Genome-wide association studies for complex traits: consensus, uncertainty and challenges. Nat Rev Genet 2008; 9:356-369.
71. Joyner AH, Roddey JC, Bloss CS, et al. A common MECP2 haplotype associates with reduced cortical surface area in humans in two independent populations. Proc Natl Acad Sci USA 2009; 106:15483-15488.
72. Cichon S, Craddock N, Daly M, et al. Genomewide association studies: history, rationale, and prospects for psychiatric disorders. Am J Psychiatry 2009; 166:540-556.
73. JackJrCR, Bernstein MA, Borowski BJ, et al. 2010. Update on the MRI core of the Alzheimer's disease neuroimaging initiative. J Alzheimer's Dement 2010; 6:212-220.
74. Rasch B, PapassotiropoulosA, deQuervain DF. Imaging genetics of cognitive functions: focus on episodic memory. Neuroimage 2010 [Epub ahead of print].