Browsing by Author "Ramanan, Vijay K."
Now showing 1 - 10 of 13
Results Per Page
Sort Options
Item Analysis of the Inverse Association between Cancer and Alzheimer’s Disease: Results from the Alzheimer’s Disease Neuroimaging Initiative Cohort(Office of the Vice Chancellor for Research, 2014-04-11) Nudelman, Kelly N. H.; Risacher, Shannon L.; West, John D.; Nho, Kwangsik; Ramanan, Vijay K.; McDonald, Brenna C.; Shen, Li; Foroud, Tatiana M.; Schneider, Bryan P.; Saykin, Andrew J.Although a number of studies support a reciprocal inverse association between diagnoses of cancer and Alzheimer’s disease (AD), to date there has not been any systemic investigation of the neurobiological impact of or genetic risk factors underlying this effect. To facilitate this goal, this study aimed to replicate the inverse association of cancer and AD using data from the NIA Alzheimer’s Disease Neuroimaging Initiative, which includes age-matched cases and controls with information on cancer history, AD progression, neuroimaging, and genomic data. Subjects included individuals with AD (n=234), mild cognitive impairment (MCI, n=542), and healthy controls (HC, n=293). After controlling for sex, education, race/ethnicity, smoking, and apolipoprotein E (APOE) e2/3/4 allele groups, cancer history was protective against baseline AD diagnosis (p=0.042), and was associated with later age of AD onset (p=0.001). Cancer history appears to result in a cumulative protective effect; individuals with more than one cancer had a later age of AD onset compared to those with only one cancer (p=0.001). Finally, a protective effect of AD was also observed in individuals who developed incident cancer after enrolling (post-baseline visit); 20 individuals with MCI and 9 HC developed cancer, while no AD patients had subsequent cancer diagnoses (p=0.013). This supports previous research on the inverse association of cancer and AD, and importantly provides novel evidence that this effect appears to be independent of APOE, the major known genetic risk factor for AD. Future analyses will investigate the neurobiological and genetic basis of this effect.Item APOE and BCHE as modulators of cerebral amyloid deposition: a florbetapir PET genome-wide association study(Springer Nature, 2014) Ramanan, Vijay K.; Risacher, Shannon L.; Nho, Kwangsik; Kim, Sungeun; Swaminathan, Shanker; Shen, Li; Foroud, Tatiana M.; Hakonarson, Hakon; Huentelman, Matthew J.; Aisen, Paul S.; Petersen, Ronald C.; Green, Robert C.; Jack, Clifford R.; Koeppe, Robert A.; Jagust, William J.; Weiner, Michael W.; Saykin, Andrew J.; Alzheimer’s Disease Neuroimaging Initiative; Radiology and Imaging Sciences, School of MedicineDeposition of amyloid-β (Aβ) in the cerebral cortex is thought to be a pivotal event in Alzheimer's disease (AD) pathogenesis with a significant genetic contribution. Molecular imaging can provide an early noninvasive phenotype, but small samples have prohibited genome-wide association studies (GWAS) of cortical Aβ load until now. We employed florbetapir ((18)F) positron emission tomography (PET) imaging to assess brain Aβ levels in vivo for 555 participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI). More than six million common genetic variants were tested for association to quantitative global cortical Aβ load controlling for age, gender and diagnosis. Independent genome-wide significant associations were identified on chromosome 19 within APOE (apolipoprotein E) (rs429358, P=5.5 × 10(-14)) and on chromosome 3 upstream of BCHE (butyrylcholinesterase) (rs509208, P=2.7 × 10(-8)) in a region previously associated with serum BCHE activity. Together, these loci explained 15% of the variance in cortical Aβ levels in this sample (APOE 10.7%, BCHE 4.3%). Suggestive associations were identified within ITGA6, near EFNA5, EDIL3, ITGA1, PIK3R1, NFIB and ARID1B, and between NUAK1 and C12orf75. These results confirm the association of APOE with Aβ deposition and represent the largest known effect of BCHE on an AD-related phenotype. BCHE has been found in senile plaques and this new association of genetic variation at the BCHE locus with Aβ burden in humans may have implications for potential disease-modifying effects of BCHE-modulating agents in the AD spectrum.Item CYP1B1-RMDN2 Alzheimer's disease endophenotype locus identified for cerebral tau PET(Springer Nature, 2024-09-20) Nho, Kwangsik; Risacher, Shannon L.; Apostolova, Liana G.; Bice, Paula J.; Brosch, Jared R.; Deardorff, Rachael; Faber, Kelley; Farlow, Martin R.; Foroud, Tatiana; Gao, Sujuan; Rosewood, Thea; Kim, Jun Pyo; Nudelman, Kelly; Yu, Meichen; Aisen, Paul; Sperling, Reisa; Hooli, Basavaraj; Shcherbinin, Sergey; Svaldi, Diana; Jack, Clifford R., Jr.; Jagust, William J.; Landau, Susan; Vasanthakumar, Aparna; Waring, Jeffrey F.; Doré, Vincent; Laws, Simon M.; Masters, Colin L.; Porter, Tenielle; Rowe, Christopher C.; Villemagne, Victor L.; Dumitrescu, Logan; Hohman, Timothy J.; Libby, Julia B.; Mormino, Elizabeth; Buckley, Rachel F.; Johnson, Keith; Yang, Hyun-Sik; Petersen, Ronald C.; Ramanan, Vijay K.; Ertekin-Taner, Nilüfer; Vemuri, Prashanthi; Cohen, Ann D.; Fan, Kang-Hsien; Kamboh, M. Ilyas; Lopez, Oscar L.; Bennett, David A.; Ali, Muhammad; Benzinger, Tammie; Cruchaga, Carlos; Hobbs, Diana; De Jager, Philip L.; Fujita, Masashi; Jadhav, Vaishnavi; Lamb, Bruce T.; Tsai, Andy P.; Castanho, Isabel; Mill, Jonathan; Weiner, Michael W.; Alzheimer’s Disease Neuroimaging Initiative (ADNI); Department of Defense Alzheimer’s Disease Neuroimaging Initiative (DoD-ADNI); Anti-Amyloid Treatment in Asymptomatic Alzheimer’s Study (A4 Study) and Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN); Australian Imaging, Biomarker & Lifestyle Study (AIBL); Saykin, Andrew J.; Radiology and Imaging Sciences, School of MedicineDetermining the genetic architecture of Alzheimer's disease pathologies can enhance mechanistic understanding and inform precision medicine strategies. Here, we perform a genome-wide association study of cortical tau quantified by positron emission tomography in 3046 participants from 12 independent studies. The CYP1B1-RMDN2 locus is associated with tau deposition. The most significant signal is at rs2113389, explaining 4.3% of the variation in cortical tau, while APOE4 rs429358 accounts for 3.6%. rs2113389 is associated with higher tau and faster cognitive decline. Additive effects, but no interactions, are observed between rs2113389 and diagnosis, APOE4, and amyloid beta positivity. CYP1B1 expression is upregulated in AD. rs2113389 is associated with higher CYP1B1 expression and methylation levels. Mouse model studies provide additional functional evidence for a relationship between CYP1B1 and tau deposition but not amyloid beta. These results provide insight into the genetic basis of cerebral tau deposition and support novel pathways for therapeutic development in AD.Item FASTKD2 and human memory: functional pathways and prospects for novel therapeutic target development for Alzheimer's disease and age-associated memory decline(Future Medicine, 2015) Ramanan, Vijay K.; Saykin, Andrew J.; Department of Radiology and Imaging Sciences, IU School of MedicineItem FASTKD2 is associated with memory and hippocampal structure in older adults(Nature Publishing Group, 2015-10) Ramanan, Vijay K.; Nho, Kwangsik; Shen, Li; Risacher, Shannon L.; Kim, Sungeun; McDonald, Brenna C.; Farlow, Martin R.; Foroud, Tatiana M.; Gao, Sujuan; Soininen, Hilkka; Kłoszewska, Iwona; Mecocci, Patrizia; Tsolaki, Magda; Vellas, Bruno; Lovestone, Simon; Aisen, Paul S.; Petersen, Ronald C.; Jack, Clifford R.; Shaw, Leslie M.; Trojanowski, John Q.; Weiner, Michael W.; Green, Robert C.; Toga, Arthur W.; De Jager, Philip L.; Yu, Lei; Bennett, David A.; Saykin, Andrew J.; Department of Radiology and Imaging Sciences, IU School of MedicineMemory impairment is the cardinal early feature of Alzheimer's disease, a highly prevalent disorder whose causes remain only partially understood. To identify novel genetic predictors, we used an integrative genomics approach to perform the largest study to date of human memory (n=14 781). Using a genome-wide screen, we discovered a novel association of a polymorphism in the pro-apoptotic gene FASTKD2 (fas-activated serine/threonine kinase domains 2; rs7594645-G) with better memory performance and replicated this finding in independent samples. Consistent with a neuroprotective effect, rs7594645-G carriers exhibited increased hippocampal volume and gray matter density and decreased cerebrospinal fluid levels of apoptotic mediators. The MTOR (mechanistic target of rapamycin) gene and pathways related to endocytosis, cholinergic neurotransmission, epidermal growth factor receptor signaling and immune regulation, among others, also displayed association with memory. These findings nominate FASTKD2 as a target for modulating neurodegeneration and suggest potential mechanisms for therapies to combat memory loss in normal cognitive aging and dementia.Item Gene-based GWAS and -biological pathway analysis of the resilience of executive functioning(Springer US, 2014-03) Mukherjee, Shubhabrata; Kim, Sungeun; Ramanan, Vijay K.; Gibbons, Laura E.; Nho, Kwangsik; Glymour, M. Maria; Ertekin-Taner, Nilüfer; Montine, Thomas J.; Saykin, Andrew J.; Crane, Paul K.; Alzheimer’s Disease Neuroimaging Initiative; Department of Radiology and Imaging Sciences, School of MedicineResilience in executive functioning (EF) is characterized by high EF measured by neuropsychological test performance despite structural brain damage from neurodegenerative conditions. We previously reported single nucleotide polymorphism (SNP) genome-wide association study (GWAS) results for EF resilience. Here, we report gene- and pathway-based analyses of the same resilience phenotype, using an optimal SNP-set (Sequence) Kernel Association Test (SKAT) for gene-based analyses (conservative threshold for genome-wide significance = 0.05/18,123=2.8×10−6) and the gene-set enrichment package GSA-SNP for biological pathway analyses (False discovery rate (FDR) < 0.05). Gene-based analyses found a genome-wide significant association between RNASE13 and EF resilience (p=1.33×10−7). Genetic pathways involved with dendritic/neuron spine, presynaptic membrane, postsynaptic density etc. were enriched with association to EF resilience. Although replication of these results is necessary, our findings indicate the potential value of gene- and pathway-based analyses in research on determinants of cognitive resilience.Item Genetic analysis of quantitative phenotypes in AD and MCI: imaging, cognition and biomarkers(Springer, 2014) Shen, Li; Thompson, Paul M.; Potkin, Steven G.; Bertram, Lars; Farrer, Lindsay A.; Foroud, Tatiana M.; Green, Robert C.; Hu, Xiaolan; Huentelman, Matthew J.; Kim, Sungeun; Kauwe, John S. K.; Li, Qingqin; Liu, Enchi; Macciardi, Fabio; Moore, Jason H.; Munsie, Leanne; Nho, Kwangsik; Ramanan, Vijay K.; Risacher, Shannon L.; Stone, David J.; Swaminathan, Shanker; Toga, Arthur W.; Weiner, Michael W.; Saykin, Andrew J.; Alzheimer’s Disease Neuroimaging Initiative; Medical and Molecular Genetics, School of MedicineThe Genetics Core of the Alzheimer's Disease Neuroimaging Initiative (ADNI), formally established in 2009, aims to provide resources and facilitate research related to genetic predictors of multidimensional Alzheimer's disease (AD)-related phenotypes. Here, we provide a systematic review of genetic studies published between 2009 and 2012 where either ADNI APOE genotype or genome-wide association study (GWAS) data were used. We review and synthesize ADNI genetic associations with disease status or quantitative disease endophenotypes including structural and functional neuroimaging, fluid biomarker assays, and cognitive performance. We also discuss the diverse analytical strategies used in these studies, including univariate and multivariate analysis, meta-analysis, pathway analysis, and interaction and network analysis. Finally, we perform pathway and network enrichment analyses of these ADNI genetic associations to highlight key mechanisms that may drive disease onset and trajectory. Major ADNI findings included all the top 10 AD genes and several of these (e.g., APOE, BIN1, CLU, CR1, and PICALM) were corroborated by ADNI imaging, fluid and cognitive phenotypes. ADNI imaging genetics studies discovered novel findings (e.g., FRMD6) that were later replicated on different data sets. Several other genes (e.g., APOC1, FTO, GRIN2B, MAGI2, and TOMM40) were associated with multiple ADNI phenotypes, warranting further investigation on other data sets. The broad availability and wide scope of ADNI genetic and phenotypic data has advanced our understanding of the genetic basis of AD and has nominated novel targets for future studies employing next-generation sequencing and convergent multi-omics approaches, and for clinical drug and biomarker development.Item Genetic Influences on Plasma Homocysteine Levels in African Americans and Yoruba Nigerians.(IOS Press, 2015) Kim, Sungeun; Nho, Kwangsik; Ramanan, Vijay K.; Lai, Dongbing; Foroud, Tatiana M.; Lane, Katie; Murrell, Jill R.; Gao, Sujuan; Hall, Kathleen S.; Unverzagt, Frederick W.; Baiyewu, Olusegun; Ogunniyi, Adesola; Gureje, Oye; Kling, Mitchel A.; Doraiswamy, P. Murali; Kaddurah-Daouk, Rima; Hendrie, Hugh C.; Saykin, Andrew J.; Department of Radiology and Imaging Sciences, IU School of MedicinePlasma homocysteine, a metabolite involved in key cellular methylation processes seems to be implicated in cognitive functions and cardiovascular health with its high levels representing a potential modifiable risk factor for Alzheimer’s disease (AD) and other dementias. A better understanding of the genetic factors regulating homocysteine levels, particularly in non-white populations, may help in risk stratification analyses of existing clinical trials and may point to novel targets for homocysteine-lowering therapy. To identify genetic influences on plasma homocysteine levels in individuals with African ancestry, we performed a targeted gene and pathway-based analysis using a priori biological information and then to identify new association performed a genome-wide association study. All analyses used combined data from the African American and Yoruba cohorts from the Indianapolis-Ibadan Dementia Project. Targeted analyses demonstrated significant associations of homocysteine and variants within the CBS (Cystathionine beta-Synthase) gene. We identified a novel genome-wide significant association of the AD risk gene CD2AP (CD2-associated protein) with plasma homocysteine levels in both cohorts. Minor allele (T) carriers of identified CD2AP variant (rs6940729) exhibited decreased homocysteine level. Pathway enrichment analysis identified several interesting pathways including the GABA receptor activation pathway. This is noteworthy given the known antagonistic effect of homocysteine on GABA receptors. These findings identify several new targets warranting further investigation in relation to the role of homocysteine in neurodegeneration.Item Genetic studies of quantitative MCI and AD phenotypes in ADNI: Progress, opportunities, and plans(Elsevier, 2015-07) Saykin, Andrew J.; Shen, Li; Yao, Xiaohui; Kim, Sungeun; Nho, Kwangsik; Risacher, Shannon L.; Ramanan, Vijay K.; Foroud, Tatiana M.; Faber, Kelly M.; Sarwar, Nadeem; Munsie, Leanne M.; Hu, Xiaolan; Soares, Holly D.; Potkin, Steven G.; Thompson, Paul M.; Kauwe, John S. K.; Kaddurah-Daouk, Rima; Green, Robert C.; Toga, Arthur W.; Weiner, Michael W.; Alzheimer's Disease Neuroimaging Initiative; Department of Radiology and Imaging Sciences, IU School of MedicineINTRODUCTION: Genetic data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) have been crucial in advancing the understanding of Alzheimer's disease (AD) pathophysiology. Here, we provide an update on sample collection, scientific progress and opportunities, conceptual issues, and future plans. METHODS: Lymphoblastoid cell lines and DNA and RNA samples from blood have been collected and banked, and data and biosamples have been widely disseminated. To date, APOE genotyping, genome-wide association study (GWAS), and whole exome and whole genome sequencing data have been obtained and disseminated. RESULTS: ADNI genetic data have been downloaded thousands of times, and >300 publications have resulted, including reports of large-scale GWAS by consortia to which ADNI contributed. Many of the first applications of quantitative endophenotype association studies used ADNI data, including some of the earliest GWAS and pathway-based studies of biospecimen and imaging biomarkers, as well as memory and other clinical/cognitive variables. Other contributions include some of the first whole exome and whole genome sequencing data sets and reports in healthy controls, mild cognitive impairment, and AD. DISCUSSION: Numerous genetic susceptibility and protective markers for AD and disease biomarkers have been identified and replicated using ADNI data and have heavily implicated immune, mitochondrial, cell cycle/fate, and other biological processes. Early sequencing studies suggest that rare and structural variants are likely to account for significant additional phenotypic variation. Longitudinal analyses of transcriptomic, proteomic, metabolomic, and epigenomic changes will also further elucidate dynamic processes underlying preclinical and prodromal stages of disease. Integration of this unique collection of multiomics data within a systems biology framework will help to separate truly informative markers of early disease mechanisms and potential novel therapeutic targets from the vast background of less relevant biological processes. Fortunately, a broad swath of the scientific community has accepted this grand challenge.Item Genome-wide association study of language performance in Alzheimer's disease(Elsevier, 2017-09) Deters, Kacie D.; Nho, Kwangsik; Risacher, Shannon L.; Kim, Sungeun; Ramanan, Vijay K.; Crane, Paul K.; Apostolova, Liana G.; Saykin, Andrew J.; Radiology and Imaging Sciences, School of MedicineLanguage impairment is common in prodromal stages of Alzheimer's disease (AD) and progresses over time. However, the genetic architecture underlying language performance is poorly understood. To identify novel genetic variants associated with language performance, we analyzed brain MRI and performed a genome-wide association study (GWAS) using a composite measure of language performance from the Alzheimer's Disease Neuroimaging Initiative (ADNI; n=1560). The language composite score was associated with brain atrophy on MRI in language and semantic areas. GWAS identified GLI3 (GLI family zinc finger 3) as significantly associated with language performance (p<5×10-8). Enrichment of GWAS association was identified in pathways related to nervous system development and glutamate receptor function and trafficking. Our results, which warrant further investigation in independent and larger cohorts, implicate GLI3, a developmental transcription factor involved in patterning brain structures, as a putative gene associated with language dysfunction in AD.