{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T12:06:47Z","timestamp":1788955607384,"version":"build-2803163510"},"reference-count":70,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2015,10,27]],"date-time":"2015-10-27T00:00:00Z","timestamp":1445904000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Alzheimer\u2019s Disease"],"published-print":{"date-parts":[[2015,10,27]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>This article investigates late-onset cognitive impairment using neuroimaging and genetics biomarkers for Alzheimer\u2019s Disease Neuroimaging Initiative (ADNI) participants. Eight-hundred and eight ADNI subjects were identified and divided into three groups: 200 subjects with Alzheimer\u2019s disease (AD), 383 subjects with mild cognitive impairment (MCI), and 225 asymptomatic normal controls (NC). Their structural magnetic resonance imaging (MRI) data were parcellated using BrainParser, and the 80 most important neuroimaging biomarkers were extracted using the global shape analysis Pipeline workflow. Using Plink via the Pipeline environment, we obtained 80 SNPs highly-associated with the imaging biomarkers. In the AD cohort, rs2137962 was significantly associated bilaterally with changes in the hippocampi and the parahippocampal gyri, and rs1498853, rs288503, and rs288496 were associated with the left and right hippocampi, the right parahippocampal gyrus, and the left inferior temporal gyrus. In the MCI cohort, rs17028008 and rs17027976 were significantly associated with the right caudate and right fusiform gyrus, rs2075650 (TOMM40) was associated with the right caudate, and rs1334496 and rs4829605 were significantly associated with the right inferior temporal gyrus. In the NC cohort, Chromosome 15 [rs734854 (STOML1), rs11072463 (PML), rs4886844 (PML), and rs1052242 (PML)] was significantly associated with both hippocampi and both insular cortices, and rs4899412 (RGS6) was significantly associated with the caudate. We observed significant correlations between genetic and neuroimaging phenotypes in the 808 ADNI subjects. These results suggest that differences between AD, MCI, and NC cohorts may be examined by using powerful joint models of morphometric, imaging and genotypic data.<\/jats:p>","DOI":"10.3233\/jad-150335","type":"journal-article","created":{"date-parts":[[2015,10,27]],"date-time":"2015-10-27T16:55:01Z","timestamp":1445964901000},"page":"1051-1063","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":41,"title":["Structural Neuroimaging Genetics Interactions in Alzheimer\u2019s Disease"],"prefix":"10.1177","volume":"48","author":[{"given":"Seok Woo","family":"Moon","sequence":"first","affiliation":[{"name":"Department of Psychiatry, Konkuk University School of Medicine, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ivo D.","family":"Dinov","sequence":"additional","affiliation":[{"name":"Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA"},{"name":"Department of Human Behavior and Biological Sciences, Statistsics Online Computational Resource (SOCR), Michigan Institute for Data Science (MIDAS), School of Nursing, University of Michigan, Ann Arbor, MI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jaebum","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Animal Biotechnology, Konkuk University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alen","family":"Zamanyan","sequence":"additional","affiliation":[{"name":"Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sam","family":"Hobel","sequence":"additional","affiliation":[{"name":"Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paul M.","family":"Thompson","sequence":"additional","affiliation":[{"name":"Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arthur W.","family":"Toga","sequence":"additional","affiliation":[{"name":"Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"name":"and for the Alzheimer\u2019s Disease Neuroimaging Initiative","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2015,10,27]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.neuro.26.043002.094919"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0072-9752(07)01218-3"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1001\/archpsyc.63.2.168"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ncl.2007.03.009"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.46.3.641"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1038\/nrn782"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2010.02.032"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0006501"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.20416"},{"key":"e_1_3_3_11_2","doi-asserted-by":"publisher","DOI":"10.1385\/NI:4:1:5"},{"key":"e_1_3_3_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopsych.2005.11.005"},{"key":"e_1_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.1080\/13546800903059829"},{"key":"e_1_3_3_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(12)70259-4"},{"key":"e_1_3_3_15_2","doi-asserted-by":"publisher","DOI":"10.1038\/nm.3736"},{"key":"e_1_3_3_16_2","doi-asserted-by":"publisher","DOI":"10.2174\/1567205012666150302154354"},{"key":"e_1_3_3_17_2","doi-asserted-by":"publisher","DOI":"10.1007\/s40473-014-0026-x"},{"key":"e_1_3_3_18_2","doi-asserted-by":"publisher","DOI":"10.1038\/mp.2014.81"},{"key":"e_1_3_3_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2013.01.008"},{"key":"e_1_3_3_20_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(03)12715-8"},{"key":"e_1_3_3_21_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tig.2014.02.003"},{"key":"e_1_3_3_22_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0095152"},{"key":"e_1_3_3_23_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2014.05.041"},{"key":"e_1_3_3_24_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13311-014-0295-9"},{"key":"e_1_3_3_25_2","doi-asserted-by":"publisher","DOI":"10.1038\/nn.3792"},{"key":"e_1_3_3_26_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2007.09.031"},{"key":"e_1_3_3_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuint.2007.08.010"},{"key":"e_1_3_3_28_2","doi-asserted-by":"publisher","DOI":"10.3389\/neuro.11.022.2009"},{"key":"e_1_3_3_29_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0013070"},{"key":"e_1_3_3_30_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2010.01.042"},{"key":"e_1_3_3_31_2","doi-asserted-by":"publisher","DOI":"10.1001\/archneurol.2010.108"},{"key":"e_1_3_3_32_2","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0b013e3181cb3e25"},{"key":"e_1_3_3_33_2","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.43.11.2412-a"},{"key":"e_1_3_3_34_2","doi-asserted-by":"publisher","DOI":"10.1086\/519795"},{"key":"e_1_3_3_35_2","doi-asserted-by":"publisher","DOI":"10.1086\/519795"},{"key":"e_1_3_3_36_2","doi-asserted-by":"publisher","DOI":"10.1038\/nrg2813"},{"key":"e_1_3_3_37_2","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.21049"},{"key":"e_1_3_3_38_2","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A1397"},{"key":"e_1_3_3_39_2","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-12-304"},{"key":"e_1_3_3_40_2","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.10062"},{"key":"e_1_3_3_41_2","first-page":"698","article-title":"The NA-MIC Kit: ITK, VTK, pipelines, grids and 3D slicer as an open platform for the medical image computing community","author":"Pieper S","year":"2006","unstructured":"PieperSLorensenBSchroederWKikinisR2006The NA-MIC Kit: ITK, VTK, pipelines, grids and 3D slicer as an open platform for the medical image computing communityProceedings of the 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro698701","journal-title":"Proceedings of the 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro"},{"key":"e_1_3_3_42_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2013.03.030"},{"key":"e_1_3_3_43_2","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btv023"},{"key":"e_1_3_3_44_2","doi-asserted-by":"publisher","DOI":"10.1038\/ng2075"},{"key":"e_1_3_3_45_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2010.02.032"},{"key":"e_1_3_3_46_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.03.077"},{"key":"e_1_3_3_47_2","doi-asserted-by":"publisher","DOI":"10.1101\/gr.092759.109"},{"key":"e_1_3_3_48_2","first-page":"1","article-title":"SOCR motion charts: An efficient, open-source, interactive and dynamic applet for visualizing longitudinal multivariate data","volume":"18","author":"Al-Aziz J","year":"2010","unstructured":"Al-AzizJChristouNDinovI2010SOCR motion charts: An efficient, open-source, interactive and dynamic applet for visualizing longitudinal multivariate dataJSE18129","journal-title":"JSE"},{"key":"e_1_3_3_49_2","doi-asserted-by":"publisher","DOI":"10.1109\/34.3908"},{"key":"e_1_3_3_50_2","unstructured":"LarsonREdwardsBH2009CalculusBrooks\/Cole Pub\u00a0Co"},{"key":"e_1_3_3_51_2","unstructured":"Santal\u00f3LA2004Integral geometry and geometric probabilityCambridge Univ Pr"},{"key":"e_1_3_3_52_2","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp.2003.029876"},{"key":"e_1_3_3_53_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00234-007-0269-2"},{"key":"e_1_3_3_54_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2008.07.013"},{"key":"e_1_3_3_55_2","doi-asserted-by":"publisher","DOI":"10.1038\/tpj.2009.69"},{"key":"e_1_3_3_56_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neurobiolaging.2012.02.014"},{"key":"e_1_3_3_57_2","doi-asserted-by":"publisher","DOI":"10.1001\/archneurol.2012.1935"},{"key":"e_1_3_3_58_2","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.1469-06.2006"},{"key":"e_1_3_3_59_2","doi-asserted-by":"publisher","DOI":"10.1111\/gbb.12014"},{"key":"e_1_3_3_60_2","doi-asserted-by":"publisher","DOI":"10.1038\/nn.2251"},{"key":"e_1_3_3_61_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.brainres.2007.03.079"},{"key":"e_1_3_3_62_2","doi-asserted-by":"publisher","DOI":"10.1038\/cdd.2012.162"},{"key":"e_1_3_3_63_2","doi-asserted-by":"publisher","DOI":"10.1100\/2012\/141240"},{"key":"e_1_3_3_64_2","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2013.00198"},{"key":"e_1_3_3_65_2","doi-asserted-by":"publisher","DOI":"10.1038\/ng.439"},{"key":"e_1_3_3_66_2","doi-asserted-by":"publisher","DOI":"10.1038\/ng.440"},{"key":"e_1_3_3_67_2","doi-asserted-by":"publisher","DOI":"10.1038\/ng.803"},{"key":"e_1_3_3_68_2","doi-asserted-by":"publisher","DOI":"10.3389\/fphys.2012.00095"},{"key":"e_1_3_3_69_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.ATV.15.9.1280"},{"key":"e_1_3_3_70_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(10)70325-2"},{"key":"e_1_3_3_71_2","first-page":"239","article-title":"Fully-automated white matter hyperintensity detection with anatomical prior knowledge and without FLAIR","volume":"5636","author":"Schwarz C","year":"2009","unstructured":"SchwarzCFletcherEDeCarliCCarmichaelO2009Fully-automated white matter hyperintensity detection with anatomical prior knowledge and without FLAIRInf Process Med Imaging5636239251","journal-title":"Inf Process Med Imaging"}],"container-title":["Journal of Alzheimer\u2019s Disease"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JAD-150335","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JAD-150335","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JAD-150335","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T10:02:57Z","timestamp":1777370577000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JAD-150335"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,10,27]]},"references-count":70,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2015,10,27]]}},"alternative-id":["10.3233\/JAD-150335"],"URL":"https:\/\/doi.org\/10.3233\/jad-150335","relation":{},"ISSN":["1387-2877","1875-8908"],"issn-type":[{"value":"1387-2877","type":"print"},{"value":"1875-8908","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,10,27]]}}}