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Genetic analysis of cortical thickness and fractional anisotropy of water diffusion in the brain
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Kochunov, Peter, Glahn, David C., Nichols, Thomas E., Winkler, Anderson M., Hong, Elliot L., Holcomb, Henry H., Stein, Jason L., Thompson, Paul M., Curran, Joanne E., Carless, Melanie A., Olvera, Rene L., Johnson, Matthew P., Cole, Shelley A., Kochunov, Valeria, Kent, Jack and Blangero, John. (2011) Genetic analysis of cortical thickness and fractional anisotropy of water diffusion in the brain. Frontiers in Neuroscience, Vol.5 . p. 120. ISSN 1662-4548
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Official URL: http://dx.doi.org/10.3389/fnins.2011.00120
Abstract
Objectives: The thickness of the brain’s cortical gray matter (GM) and the fractional anisotropy (FA) of the cerebral white matter (WM) each follow an inverted U-shape trajectory with age. The two measures are positively correlated and may be modulated by common biological mechanisms. We employed four types of genetic analyses to localize individual genes acting pleiotropically upon these phenotypes. Methods: Whole-brain and regional GM thickness and FA values were measured from high-resolution anatomical and diffusion tensor MR images collected from 712, Mexican American participants (438 females, age=47.9±13.2 years) recruited from 73 (9.7±9.3 individuals/family) large families. The significance of the correlation between two traits was estimated using a bivariate genetic correlation analysis. Localization of chromosomal regions that jointly influenced both traits was performed using whole-genome quantitative trait loci (QTL) analysis. Gene localization was performed using SNP genotyping on Illumina 1M chip and correlation with leukocyte-based gene-expression analyses. The gene-expressions were measured using the Illumina BeadChip. These data were available for 371 subjects. Results: Significant genetic correlationwas observed amongGMthickness and FA values. Significant logarithm of odds (LOD≥3.0) QTLs were localized within chromosome 15q22–23. More detailed localization reported no significant association (p <5·10−5) for 1565 SNPs located within the QTLs. Post hoc analysis indicated that 40% of the potentially significant (p ≤10−3) SNPs were localized to the related orphan receptor alpha (RORA) and NARG2 genes. A potentially significant association was observed for the rs2456930 polymorphism reported as a significant GWAS finding in Alzheimer’s disease neuroimaging initiative subjects. The expression levels for RORA and ADAM10 genes were significantly (p <0.05) correlated with both FA and GM thickness. NARG2 expressions were significantly correlated with GM thickness (p <0.05) but failed to show a significant correlation (p =0.09) with FA. Discussion: This study identified a novel, significant QTL at 15q22–23. SNP correlation with gene-expression analyses indicated that RORA, NARG2, and ADAM10 jointly influenceGM thickness and WM–FA values.
| Item Type: | Journal Article |
|---|---|
| Subjects: | Q Science > QH Natural history > QH426 Genetics |
| Divisions: | Faculty of Science > Statistics Faculty of Science > WMG (Formerly the Warwick Manufacturing Group) |
| Library of Congress Subject Headings (LCSH): | Brain -- Physiology, Human genetics |
| Journal or Publication Title: | Frontiers in Neuroscience |
| Publisher: | Frontiers Media S.A |
| ISSN: | 1662-4548 |
| Date: | 19 October 2011 |
| Volume: | Vol.5 |
| Page Range: | p. 120 |
| Identification Number: | 10.3389/fnins.2011.00120 |
| Status: | Peer Reviewed |
| Publication Status: | Published |
| Access rights to Published version: | Open Access |
| Funder: | National Institute of Biomedical Imaging and Bioengineering (U.S.) (NIBIB), National Institute of Mental Health (U.S.) (NIMH) |
| Grant number: | EB006395 (NIBIB), MH078111 (NIMH), MH0708143 (NIMH), MH083824 (NIMH) |
| References: | Abe,O.,Aoki,S.,Hayashi,N.,Yamada, H., Kunimatsu,A.,Mori,H., Yoshikawa,T.,Okubo,T.,and Ohtomo,K.(2002).Normalaging in thecentralnervoussystem: quantitativeMRdiffusion-tensor analysis. Neurobiol.Aging 23, 433–441. Abecasis,G.R.,Cherny,S.S.,Cookson, W.O.,andCardon,L.R.(2002). Merlin–rapidanalysisofdense genetic mapsusingsparsegeneflow trees. Nat.Genet. 30, 97–101. Aganj,I.,Sapiro,G.,Parikshak,N., Madsen,S.K.,andThompson, P.M.(2009).Measurementof corticalthicknessfromMRIby minimumlineintegralsonsoft- classified tissue. Hum.BrainMapp. 30, 3188–3199. Almasy,L.,andBlangero,J.(1998). Multipointquantitative-traitlinkage analysis ingeneralpedigrees. Am.J. Hum.Genet. 62, 1198–1211. Almasy,L.,Dyer,T.D.,andBlangero, J.(1997).Bivariatequantitativetrait linkage analysis:pleiotropyversus co-incidentlinkages. Genet.Epi- demiol. 14, 953–958. Amos,C.,deAndrade,M.,andZhu,D. (2001). Comparisonofmultivariate testsforgeneticlinkage. Hum. Hered. 51, 133–144. Amos,C.I.,andLaing,A.E.(1993).A comparisonofunivariateandmul- tivariatetestsforgeneticlinkage. Genet.Epidemiol. 10, 671–676. Beaulieu, C.(2002).Thebasisof anisotropicwaterdiffusionin thenervoussystem–atech- nical review. NMR Biomed. 15, 435–455. Biffi,A.,Anderson,C.D.,Desikan, R. S.,Sabuncu,M.,Cortellini, L., Schmansky,N.,Salat,D.,and Rosand,J.(2010).Geneticvaria- tion andneuroimagingmeasuresin Alzheimer disease. Arch.Neurol. 67, 677–685. Blangero,J.,Williams,J.T.,and Almasy,L.(2003).Novelfamily- based approachestogeneticriskin thrombosis. J. Thromb.Haemost. 1, 1391–1397. Boehnke,M.(1991).Allelefrequency estimation fromdataonrela- tives. Am.J.Hum.Genet. 48, 22–25. Boerwinkle,E.,andSing,C.F.(1986). Biasofthecontributionofsingle- locus effectstothevarianceofa quantitativetrait.Am.J.Hum.Genet. 39, 137–144. Boukhtouche,F.,Vodjdani,G.,Jarvis, C. I.,Bakouche,J.,Staels,B., Mallet,J.,Mariani,J.,Lemaigre- Dubreuil,Y.,andBrugg,B.(2006). Humanretinoicacidreceptor- relatedorphanreceptoralpha1over- expressionprotectsneuronesagainst oxidativestress-inducedapoptosis. J. Neurochem. 96, 1778–1789. Brouwer,R.M.,Mandl,R.C.,Peper, J.S.,vanBaal,G.C.,Kahn,R.S., Boomsma, D.I.,andHulshoffPol, H. E.(2010).HeritabilityofDTI and MTRinnine-year-oldchildren. Neuroimage 53, 1085–1092. Burdick,J.T.,Chen,W.M.,Abecasis, G. R.,andCheung,V.G.(2006). Insilicomethodforinferringgeno- typesinpedigrees. Nat.Genet. 38, 1002–1004. Cachia,A.,Mangin,J.F.,Riviere,D., Papadopoulos-Orfanos,D.,Kherif, F.,Bloch,I.,andRegis,J.(2003).A genericframeworkfortheparcella- tion ofthecorticalsurfaceintogyri using geodesicVoronoidiagrams. Med.ImageAnal. 7, 403–416. Chiang,M.C.,McMahon,K.L.,de Zubicaray,G.I.,Martin,N.G., Hickie,I.,Toga,A.W.,Wright,M.J., and Thompson,P.M.(2011).Genet- ics ofwhitematterdevelopment:a DTI studyof705twinsandtheirsib- lingsaged12to29. Neuroimage 54, 2308–2317. Dussault, I.,Fawcett,D.,Matthyssen, A., Bader,J.A.,andGiguere,V. (1998). Orphannuclearreceptor RORalpha-deficientmicedisplay the cerebellardefectsofstaggerer. Mech.Dev. 70, 147–153. Edenberg,H.J.,Bierut,L.J.,Boyce, P.,Cao,M.,Cawley,S.,Chiles,R., Doheny,K.F.,Hansen,M.,Hinrichs, T.,Jones,K.,Kelleher,M.,Kennedy, G. C.,Liu,G.,Marcus,G.,McBride, C., Murray,S.S.,Oliphant,A., Pettengill,J.,Porjesz,B.,Pugh,E. W.,Rice,J.P.,Rubano,T.,Shannon, S., Steeke,R.,Tischfield,J.A.,Tsai, Y.Y.,Zhang,C.,andBegleiter,H. (2005). Descriptionofthedata fromthecollaborativestudyonthe genetics ofalcoholism(COGA)and single-nucleotidepolymorphism genotypingforgeneticanalysis workshop14. BMC Genet. 6(Suppl. 1). doi:10.1186/1471-2156-6- S1-S2 Edwards,T.L.,Scott,W.K.,Almonte,C., Burt,A.,Powell,E.H.,Beecham,G. W.,Wang,L.,Zuchner,S.,Konidari, I., Wang,G.,Singer,C.,Nahab,F., Scott,B.,Stajich,J.M.,Pericak- Vance,M.,Haines,J.,Vance,J.M., and Martin,E.R.(2010).Genome- wideassociationstudyconfirms SNPsinSNCAandtheMAPT regionascommonriskfactorsfor Parkinsondisease.Ann.Hum.Genet. 74, 97–109. Epis,R.,Marcello,E.,Gardoni,F., Vastagh,C.,Malinverno,M.,Bal- ducci,C.,Colombo,A.,Borroni,B., Vara,H.,Dell’Agli,M.,Cattabeni,F., Giustetto,M.,Borsello,T.,Forloni, G., Padovani,A.,andDiLuca,M. (2010). BlockingADAM10synaptic traffickinggeneratesamodelofspo- radicAlzheimer’sdisease. Brain 133, 3323–3335. Escamilla, M.,Hare,E.,Dassori,A.M., Peralta,J.M.,Ontiveros,A.,Nicolini, H., Raventos,H.,Medina,R.,Men- doza,R.,Jerez,A.,Munoz,R.,and Almasy,L.(2009).Aschizophrenia gene locusonchromosome17q21 in anewsetoffamiliesofMexi- can andcentralAmericanancestry: evidencefromtheNIMHGenetics of schizophreniainlatinopopula- tionsstudy. Am.J.Psychiatry 166, 442–449. Farnham,J.M.,Camp,N.J.,Neuhausen, S. L.,Tsuruda,J.,Parker,D.,Mac- Donald, J.,andCannon-Albright,L. A. (2004).Confirmationofchro- mosome 7q11locusforpredisposi- tion tointracranialaneurysm. Hum. Genet. 114, 250–255. Fischl,B.,andDale,A.M.(2000).Mea- suringthethicknessofthehuman cerebralcortexfrommagneticreso- nanceimages. Proc.Natl.Acad.Sci. U.S.A. 97, 11050–11055. Gaitanis, J.N.,andWalsh,C.A.(2004). Genetics ofdisordersofcortical development.NeuroimagingClin.N. Am. 14, 219–229,viii. Gao,W.,Lin,W.,Chen,Y.,Gerig,G., Smith,J.K.,Jewells,V.,andGilmore, J.H.(2009).Temporalandspatial developmentofaxonalmaturation and myelinationofwhitematterin the developingbrain. AJNR Am.J. Neuroradiol. 30, 290–296. Garriock,H.A.,Kraft,J.B.,Shyn,S.I., Peters,E.J.,Yokoyama,J.S.,Jenkins, G. D.,Reinalda,M.S.,Slager,S. L., McGrath,P.J.,andHamil- ton,S.P.(2009).Agenomewide association studyofcitalopram responseinmajordepressive disorder. Biol. Psychiatry 67, 133–138. Glahn, D.C.,Thompson,P.M.,and Blangero,J.(2007).Neuroimaging endophenotypes:strategiesforfind- ing genesinfluencingbrainstructure and function. Hum.BrainMapp. 28, 488–501. Gogtay,N.,Giedd,J.N.,Lusk,L., Hayashi,K.M.,Greenstein,D., Vaituzis,A.C.,Nugent,T.F.III,Her- man, D.H.,Clasen,L.S.,Toga,A. W.,Rapoport,J.L.,andThompson, P.M.(2004).Dynamicmappingof humancorticaldevelopmentduring childhoodthroughearlyadulthood. Proc.Natl.Acad.Sci.U.S.A. 101, 8174–8179. Goring,H.H.,Curran,J.E.,Johnson, M. P.,Dyer,T.D.,Charlesworth,J., Cole,S.A.,Jowett,J.B.,Abraham, L. J.,Rainwater,D.L.,Comuzzie, A. G.,Mahaney,M.C.,Almasy, L., MacCluer,J.W.,Kissebah,A. H., Collier,G.R.,Moses,E.K., and Blangero,J.(2007).Discov- eryofexpressionQTLsusinglarge- scale transcriptionalprofilingin humanlymphocytes. Nat.Genet. 39, 1208–1216. Hamilton,B.A.,Frankel,W.N.,Ker- rebrock,A.W.,Hawkins,T.L., FitzHugh,W.,Kusumi,K.,Russell, L. B.,Mueller,K.L.,vanBerkel,V., Birren,B.W.,Kruglyak,L.,andLan- der,E.S.(1996).Disruptionofthe nuclearhormonereceptorRORal- pha instaggerermice. Nature 379, 736–739. Hu,V.W.,Frank,B.C.,Heine,S., Lee,N.H.,andQuackenbush,J. (2006). Geneexpressionprofiling of lymphoblastoidcelllinesfrom monozygotictwinsdiscordantin severityofautismrevealsdifferen- tial regulationofneurologicallyrel- evantgenes. BMC Genomics 7, 118. doi:10.1186/1471-2164-7-118 Hu,V.W.,Sarachana,T.,Kim,K.S., Nguyen,A.,Kulkarni,S.,Steinberg, M. E.,Luu,T.,Lai,Y.,andLee,N. H. (2009).Geneexpressionprofiling differentiatesautismcase-controls and phenotypicvariantsofautism spectrumdisorders:evidenceforcir- cadian rhythmdysfunctioninsevere autism. AutismRes. 2, 78–97. Huttenlocher,P.R.,andDabholkar, A. S.(1997).Regionaldifferences in synaptogenesisinhumancere- bralcortex. J. Comp.Neurol. 387, 167–178. Jarvis,C.I.,Goncalves,M.B.,Clarke, E., Dogruel,M.,Kalindjian,S.B., Thomas, S.A.,Maden,M.,andCor- coran,J.P.(2010).Retinoicacid receptor-alphasignallingantago- nizesbothintracellularandextracel- lular amyloid-betaproductionand preventsneuronalcelldeathcaused byamyloid-beta. Eur.J.Neurosci. 32, 1246–1255. Jarvis,C.I.,Staels,B.,Brugg,B., Lemaigre-Dubreuil,Y.,Tedgui,A., and Mariani,J.(2002).Age-related phenotypesinthestaggerermouse expandtheRORalphanuclearrecep- tor’srolebeyondthecerebel- lum. Mol.Cell.Endocrinol. 186, 1–5. Jones,D.K.,Horsfield,M.A.,andSim- mons, A.(1999).Optimalstrate- giesformeasuringdiffusionin anisotropicsystemsbymagnetic resonanceimaging. Magn.Reson. Med. 42, 515–525. Jones,K.A.,Porjesz,B.,Almasy,L., Bierut,L.,Goate,A.,Wang,J.C., Dick, D.M.,Hinrichs,A.,Kwon, J.,Rice,J.P.,Rohrbaugh,J.,Stock, H., Wu,W.,Bauer,L.O.,Chor- lian, D.B.,Crowe,R.R.,Eden- berg,H.J.,Foroud,T.,Hessel- brock,V.,Kuperman,S.,Nurnberger, J.Jr.,O’Connor,S.J.,Schuckit, M. A.,Stimus,A.T.,Tischfield, J.A.,Reich,T.,andBegleiter,H. (2004). Linkageandlinkagedisequi- libriumofevokedEEGoscillations withCHRM2receptorgenepoly- morphisms:implicationsforhuman braindynamicsandcognition. Int.J. Psychophysiol. 53, 75–90. Joshi,A.A.,Lepore,N.,Joshi,S.H., Lee,A.D.,Barysheva,M.,Stein,J. L., McMahon,K.L.,Johnson,K., de Zubicaray,G.I.,Martin,N.G., Wright,M.J.,Toga,A.W.,and Thompson, P.M.(2011).Thecon- tributionofgenestocorticalthick- ness andvolume. Neuroreport 22, 101–105. Kamarajan,C.,Porjesz,B.,Jones,K., Chorlian, D.,Padmanabhapillai,A., Rangaswamy,M.,Stimus,A.,and Begleiter,H.(2006).Event-related oscillations inoffspringofalco- holics: neurocognitivedisinhibition as ariskforalcoholism. Biol. Psychi- atry 59, 625–634. Kammerer,C.M.,Schneider,J.L.,Cole, S. A.,Hixson,J.E.,Samollow,P.B., O’Connell,J.R.,Perez,R.,Dyer,T.D., Almasy,L.,Blangero,J.,Bauer,R.L., and Mitchell,B.D.(2003).Quanti- tativetraitlocionchromosomes2p, 4p,and13qinfluencebonemineral densityoftheforearmandhipin MexicanAmericans. J. BoneMiner. Res. 18, 2245–2252. Kim,M.,Suh,J.,Romano,D.,Truong, M. H.,Mullin,K.,Hooli,B.,Norton, D.,Tesco,G.,Elliott,K.,Wagner,S. L., Moir,R.D.,Becker,K.D.,and Tanzi,R.E.(2009).Potentiallate- onset Alzheimer’sdisease-associated mutationsintheADAM10gene attenuate{alpha}-secretaseactivity. Hum.Mol.Genet. 18, 3987–3996. Klein, R.J.,Zeiss,C.,Chew,E.Y.,Tsai, J.Y.,Sackler,R.S.,Haynes,C.,Hen- ning,A.K.,SanGiovanni,J.P.,Mane, S. M.,Mayne,S.T.,Bracken,M. B.,Ferris,F.L.,Ott,J.,Barnstable, C., andHoh,J.(2005).Comple- ment factorHpolymorphisminage- relatedmaculardegeneration. Sci- ence 308, 385–389. Kochunov,P.,andDavis,M.(2009). DevelopmentofstructuralMRbrain imagingprotocolstostudygenet- ics andmaturation. Methods 50, 136–146. Kochunov,P.,Glahn,D.,Lancaster,J., Wincker,P.,Smith,S.,Thompson, P.,Almasy,L.,Duggirala,R.,Fox,P., and Blangero,J.(2010a).Genetics of microstructureofcerebralwhite matterusingdiffusiontensorimag- ing. Neuroimage 15, 1109–1116. Kochunov,P.,Williamson,D.,Lan- caster,J.,Fox,P.,Cornell,J., Blangero,J.,andGlahn,D.(2010b). Fractionalanisotropyofwater diffusion incerebralwhitematter acrossthelifespan. Neurobiol.Aging. doi:10.1016/j.neurobiolaging.2010.0 1.014. [Epubaheadofprint]. Kochunov,P.,Glahn,D.C.,Lancaster, J.,Thompson,P.M.,Kochunov,V., Rogers,B.,Fox,P.,Blangero,J.,and Williamson,D.E.(2011).Fractional anisotropyofcerebralwhitematter and thicknessofcorticalgraymatter acrossthelifespan. Neuroimage 58, 41–49. Kochunov,P.,Lancaster,J.L.,Glahn, D.C.,Purdy,D.,Laird,A.R., Gao,F.,andFox,P.(2006).Retro- spectivemotioncorrectionprotocol for high-resolutionanatomicalMRI. Hum.BrainMapp. 27, 957–962. Kochunov,P.,Lancaster,J.L.,Thomp- son, P.,Woods,R.,Mazziotta,J., Hardies,J.,andFox,P.(2001). Regionalspatialnormalization: towardanoptimaltarget. J. Comput. Assist.Tomogr. 25, 805–816. Kochunov,P.,Mangin,J.F.,Coyle,T., Lancaster,J.,Thompson,P.,Riviére, D.,Cointepas,Y.,Régis,J.,Schlosser, A.,Royall,D.R.,Zilles,K.,Mazziotta, J.,Toga,A.,andFox,P.T.(2005). Age-relatedmorphologytrendsof corticalsulci. Hum.BrainMapp. 26, 210–220. Kochunov,P.,Thompson,P.M.,Coyle, T.R.,Lancaster,J.L.,Kochunov, V.,Royall,D.,Mangin,J.F.,Riv- iere,D.,andFox,P.T.(2008). Relationshipamongneuroimaging indicesofcerebralhealthduring normalaging.Hum.BrainMapp. 29, 36–45. Kochunov,P.,Thompson,P.M.,Lan- caster,J.L.,Bartzokis,G.,Smith, S., Coyle,T.,Royall,D.R.,Laird, A., andFox,P.T.(2007).Relation- ship betweenwhitematterfractional anisotropyandotherindicesofcere- bralhealthinnormalaging:tract- based spatialstatisticsstudyofaging. Neuroimage 35, 478–487. Koivisto,P.A.,Koivisto,H.,Haapala, K., andSimola,K.O.(1999).A de novodeletionofchromosome 15(q15.2q21.2) inadysmorphic, mentally retardedchildwithcon- genital scalpdefect. Clin. Dysmor- phol. 8, 139–141. Lalani, S.R.,Sahoo,T.,Sanders,M. E., Peters,S.U.,andBejjani,B. A. (2006).Coarctationoftheaorta and mildtomoderatedevelop- mental delayinachildwitha de novodeletionofchromosome 15(q21.1q22.2). BMCMed.Genet. 7, 8. doi:10.1186/1471-2350-7-8 Lavebratt,C.,Sjoholm,L.K.,Parto- nen, T.,Schalling,M.,andForsell, Y.(2009).PER2variantionisasso- ciatedwithdepressionvulnerability. Am.J.Med.Genet.BNeuropsychiatr. Genet. 153B,570–581. Le-Niculescu,H.,Patel,S.D.,Bhat,M., Kuczenski,R.,Faraone,S.V.,Tsuang, M. T.,McMahon,F.J.,Schork,N. J.,Nurnberger,J.I.Jr.,Niculescu,A. B.III.(2009).Convergentfunctional genomics ofgenome-wideassocia- tion dataforbipolardisorder:com- prehensiveidentificationofcandi- dategenes,pathwaysandmecha- nisms. Am.J.Med.Genet.BNeu- ropsychiatr.Genet. 150B,155–181. Lerch,J.P.,andEvans,A.C.(2005). Corticalthicknessanalysisexamined throughpoweranalysisandapop- ulation simulation. Neuroimage 24, 163–173. Machado,I.N.,Heinrich,J.K.,and Barini,R.(2010).Genomicimbal- ancesdetectedthrougharrayCGH in fetuseswithholoprosencephaly. Arq.Neuropsiquiatr. 69, 3–8. Madler,B.,Drabycz,S.A.,Kolind,S. H., Whittall,K.P.,andMacKay,A. L. (2008).Isdiffusionanisotropy an accuratemonitorofmyelina- tion? Correlationofmulticompo- nent T2relaxationanddiffusion tensoranisotropyinhumanbrain. Magn.Reson.Imaging 26, 874–888. Mangin,J.F.,Riviere,D.,Cachia, A., Duchesnay,E.,Cointepas,Y., Papadopoulos-Orfanos,D.,Collins, D.L.,Evans,A.C.,andRegis,J. (2004). Object-basedmorphometry of thecerebralcortex. IEEE Trans. Med.Imaging 23, 968–982. Marcello,E.,Epis,R.,Saraceno,C., Gardoni,F.,Borroni,B.,Cat- tabeni, F.,Padovani,A.,andDi Luca,M.(2010).SAP97-mediated local traffickingisalteredin Alzheimer diseasepatients’hip- pocampus. Neurobiol.Aging. doi: 10.1016/j.neurobiolaging.2010.09.015. McGrath,C.L.,Glatt,S.J.,Sklar, P.,Le-Niculescu,H.,Kuczenski,R., Doyle,A.E.,Biederman,J.,Mick, E., Faraone,S.V.,Niculescu,A.B., and Tsuang,M.T.(2009).Evidence for geneticassociationofRORBwith bipolar disorder. BMC Psychiatry 9, 70. doi:10.1186/1471-244X-9-70 Meyer-Lindenberg,A.(2010).Imaging genetics ofschizophrenia. Dialogues Clin. Neurosci. 12, 449–456. Mitchell,B.D.,Kammerer,C.M., Blangero,J.,Mahaney,M.C.,Rain- water,D.L.,Dyke,B.,Hixson,J. E., Henkel,R.D.,Sharp,R.M., Comuzzie,A.G.,VandeBerg,J.L., Stern,M.P.,andMacCluer,J.W. (1996). Geneticandenvironmental contributionstocardiovascularrisk factorsinMexicanAmericans.The San AntonioFamilyHeartStudy. Circulation 94, 2159–2170. Moskvina,V.,andSchmidt,K.M. (2008). Onmultiple-testingcor- rectioningenome-wideassocia- tion studies. Genet.Epidemiol. 32, 567–573. Neale,B.M.,Lasky-Su,J.,Anney,R., Franke,B.,Zhou,K.,Maller,J.B., Vasquez,A.A.,Asherson,P.,Chen, W.,Banaschewski,T.,Buitelaar,J., Ebstein,R.,Gill,M.,Miranda,A., Oades, R.D.,Roeyers,H.,Rothen- berger,A.,Sergeant,J.,Steinhausen, H. C.,Sonuga-Barke,E.,Mulas, F.,Taylor,E.,Laird,N.,Lange,C., Daly,M.,andFaraone,S.V.(2008). Genome-wideassociationscanof attentiondeficithyperactivitydisor- der. Am.J.Med.Genet.BNeuropsy- chiatr.Genet. 147B,1337–1344. Nguyen,A.,Rauch,T.A.,Pfeifer,G.P., andHu,V.W.(2010).Globalmethy- lation profilingoflymphoblastoid celllinesrevealsepigeneticcontri- butions toautismspectrumdisor- ders andanovelautismcandidate gene, RORA,whoseproteinproduct is reducedinautisticbrain. FASEBJ. 24, 3036–3051. Olvera,R.L.,Bearden,C.E.,Velligan, D.I.,Almasy,L.,Carless,M.A.,Cur- ran,J.E.,Williamson,D.E.,Duggi- rala,R.,Blangero,J.,andGlahn,D. C. (2010).Commongeneticinflu- encesondepression,alcohol,and substanceusedisordersinMexican- Americanfamilies. Am.J.Med. Genet.BNeuropsychiatr.Genet. 156, 561–568. Salthouse, T.A.(2009).Whendoes age-relatedcognitivedeclinebegin? Neurobiol.Aging 30, 507–514. Sarachana,T.,Xu,M.,Wu,R.C.,and Hu,V.W.(2010).Sexhormones in autism:androgensandestrogens differentiallyandreciprocallyRegu- lateRORA,anovelca |
| URI: | http://wrap.warwick.ac.uk/id/eprint/39087 |
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