1,074 results on '"Huentelman, Matthew"'
Search Results
2. Researching COVID to enhance recovery (RECOVER) pediatric study protocol: Rationale, objectives and design.
- Author
-
Gross, Rachel, Thaweethai, Tanayott, Rosenzweig, Erika, Chan, James, Chibnik, Lori, Cicek, Mine, Elliott, Amy, Flaherman, Valerie, Foulkes, Andrea, Gage Witvliet, Margot, Gallagher, Richard, Gennaro, Maria, Jernigan, Terry, Karlson, Elizabeth, Katz, Stuart, Kinser, Patricia, Kleinman, Lawrence, Lamendola-Essel, Michelle, Milner, Joshua, Mohandas, Sindhu, Mudumbi, Praveen, Newburger, Jane, Rhee, Kay, Salisbury, Amy, Snowden, Jessica, Stein, Cheryl, Stockwell, Melissa, Tantisira, Kelan, Thomason, Moriah, Truong, Dongngan, Warburton, David, Wood, John, Ahmed, Shifa, Akerlundh, Almary, Alshawabkeh, Akram, Anderson, Brett, Aschner, Judy, Atz, Andrew, Aupperle, Robin, Baker, Fiona, Balaraman, Venkataraman, Banerjee, Dithi, Barch, Deanna, Baskin-Sommers, Arielle, Bhuiyan, Sultana, Bind, Marie-Abele, Bogie, Amanda, Bradford, Tamara, Buchbinder, Natalie, Bueler, Elliott, Bükülmez, Hülya, Casey, B, Chang, Linda, Chrisant, Maryanne, Clark, Duncan, Clifton, Rebecca, Clouser, Katharine, Cottrell, Lesley, Cowan, Kelly, DSa, Viren, Dapretto, Mirella, Dasgupta, Soham, Dehority, Walter, Dionne, Audrey, Dummer, Kirsten, Elias, Matthew, Esquenazi-Karonika, Shari, Evans, Danielle, Faustino, E, Fiks, Alexander, Forsha, Daniel, Foxe, John, Friedman, Naomi, Fry, Greta, Gaur, Sunanda, Gee, Dylan, Gray, Kevin, Handler, Stephanie, Harahsheh, Ashraf, Hasbani, Keren, Heath, Andrew, Hebson, Camden, Heitzeg, Mary, Hester, Christina, Hill, Sophia, Hobart-Porter, Laura, Hong, Travis, Horowitz, Carol, Hsia, Daniel, Huentelman, Matthew, Hummel, Kathy, Irby, Katherine, Jacobus, Joanna, Jacoby, Vanessa, Jone, Pei-Ni, Kaelber, David, Kasmarcak, Tyler, Kluko, Matthew, Kosut, Jessica, and Laird, Angela
- Subjects
Humans ,COVID-19 ,Adolescent ,Child ,Child ,Preschool ,Female ,Young Adult ,Adult ,Male ,Infant ,SARS-CoV-2 ,Infant ,Newborn ,Prospective Studies ,Research Design ,Cohort Studies ,Post-Acute COVID-19 Syndrome - Abstract
IMPORTANCE: The prevalence, pathophysiology, and long-term outcomes of COVID-19 (post-acute sequelae of SARS-CoV-2 [PASC] or Long COVID) in children and young adults remain unknown. Studies must address the urgent need to define PASC, its mechanisms, and potential treatment targets in children and young adults. OBSERVATIONS: We describe the protocol for the Pediatric Observational Cohort Study of the NIHs REsearching COVID to Enhance Recovery (RECOVER) Initiative. RECOVER-Pediatrics is an observational meta-cohort study of caregiver-child pairs (birth through 17 years) and young adults (18 through 25 years), recruited from more than 100 sites across the US. This report focuses on two of four cohorts that comprise RECOVER-Pediatrics: 1) a de novo RECOVER prospective cohort of children and young adults with and without previous or current infection; and 2) an extant cohort derived from the Adolescent Brain Cognitive Development (ABCD) study (n = 10,000). The de novo cohort incorporates three tiers of data collection: 1) remote baseline assessments (Tier 1, n = 6000); 2) longitudinal follow-up for up to 4 years (Tier 2, n = 6000); and 3) a subset of participants, primarily the most severely affected by PASC, who will undergo deep phenotyping to explore PASC pathophysiology (Tier 3, n = 600). Youth enrolled in the ABCD study participate in Tier 1. The pediatric protocol was developed as a collaborative partnership of investigators, patients, researchers, clinicians, community partners, and federal partners, intentionally promoting inclusivity and diversity. The protocol is adaptive to facilitate responses to emerging science. CONCLUSIONS AND RELEVANCE: RECOVER-Pediatrics seeks to characterize the clinical course, underlying mechanisms, and long-term effects of PASC from birth through 25 years old. RECOVER-Pediatrics is designed to elucidate the epidemiology, four-year clinical course, and sociodemographic correlates of pediatric PASC. The data and biosamples will allow examination of mechanistic hypotheses and biomarkers, thus providing insights into potential therapeutic interventions. CLINICAL TRIALS.GOV IDENTIFIER: Clinical Trial Registration: http://www.clinicaltrials.gov. Unique identifier: NCT05172011.
- Published
- 2024
3. Correction: Glyphosate infiltrates the brain and increases pro-inflammatory cytokine TNFα: implications for neurodegenerative disorders
- Author
-
Winstone, Joanna K., Pathak, Khyatiben V., Winslow, Wendy, Piras, Ignazio S., White, Jennifer, Sharma, Ritin, Huentelman, Matthew J., Pirrotte, Patrick, and Velazquez, Ramon
- Published
- 2024
- Full Text
- View/download PDF
4. A potential early clinical phenotype of necrotizing meningoencephalitis in genetically at‐risk pug dogs
- Author
-
Windsor, Rebecca, Stewart, Samuel, Schmidt, Jessica, Mosqueda, Mario, Piras, Ignazio, Keller, Stefan M, Steinmetz, Briana, Borjesson, Dori L, Huentelman, Matthew, and Khanna, Chand
- Subjects
Veterinary Sciences ,Agricultural ,Veterinary and Food Sciences ,Rare Diseases ,Prevention ,Brain Disorders ,Neurosciences ,Pain Research ,Genetics ,4.2 Evaluation of markers and technologies ,Detection ,screening and diagnosis ,4.1 Discovery and preclinical testing of markers and technologies ,Neurological ,Good Health and Well Being ,Animals ,Dogs ,Dog Diseases ,Gene Frequency ,Meningoencephalitis ,Phenotype ,Prospective Studies ,encephalitis ,immune ,inflammatory ,meningitis ,Veterinary sciences - Abstract
BackgroundNecrotizing meningoencephalitis (NME) in the pug dogs is a fatal neuroinflammatory disease associated with rapid progression and poor response to conventional immunosuppressive therapy. Diagnosis is typically made after severe neurological abnormalities have manifested.Hypothesis/objectivePug dogs at genetic risk for NME might manifest neurological abnormalities before developing pathognomonic clinical signs of NME.AnimalsThirty-six pug dogs less than 4 years of age asymptomatic for NME.MethodsProspective observational cohort study with germline genome-wide genotyping. Neurological examinations were performed 4 weeks apart to document reproducible findings of central nervous system disease. Magnetic resonance imaging, cerebrospinal fluid analysis, and testing for infectious diseases were performed in all pugs with reproducible abnormalities detected on neurological examination.ResultsThe overall risk allele frequency in this cohort was 40%; 5 (14%) dogs were high risk, 19 (53%) dogs were medium risk, and 12 (33%) dogs were low genetic risk for NME. Reproducible abnormalities detected on neurological examination were identified in 8/24 (33%) genetically at-risk dogs and 0/12 (0%) low risk dogs. Clinical abnormalities included multifocal spinal pain in 8/8, reduced menace response in 5/8, and lateralizing postural reaction deficits in 5/8 pugs. There was a strong association between genotype risk and the presence of this clinical phenotype (P = .03).Conclusions and clinical importanceOur findings suggest the presence of a novel early clinical phenotype of NME in apparently asymptomatic genetically at-risk pugs which might be used to plan early diagnostic and therapeutic clinical trials.
- Published
- 2022
5. Integrated DNA Methylation/RNA Profiling in Middle Temporal Gyrus of Alzheimer’s Disease
- Author
-
Piras, Ignazio S., Brokaw, Danielle, Kong, Yinfei, Weisenberger, Daniel J., Krate, Jonida, Delvaux, Elaine, Mahurkar, Swapna, Blattler, Adam, Siegmund, Kimberly D., Sue, Lucia, Serrano, Geidy E., Beach, Thomas G., Laird, Peter W., Huentelman, Matthew J., and Coleman, Paul D.
- Published
- 2023
- Full Text
- View/download PDF
6. A Novel Tissue Atlas and Online Tool for the Interrogation of Small RNA Expression in Human Tissues and Biofluids
- Author
-
Alsop, Eric, Meechoovet, Bessie, Kitchen, Robert, Sweeney, Thadryan, Beach, Thomas G, Serrano, Geidy E, Hutchins, Elizabeth, Ghiran, Ionita, Reiman, Rebecca, Syring, Michael, Hsieh, Michael, Courtright-Lim, Amanda, Valkov, Nedyalka, Whitsett, Timothy G, Rakela, Jorge, Pockros, Paul, Rozowsky, Joel, Gallego, Juan, Huentelman, Matthew J, Shah, Ravi, Nakaji, Peter, Kalani, M Yashar S, Laurent, Louise, Das, Saumya, and Van Keuren-Jensen, Kendall
- Subjects
Biological Sciences ,Bioinformatics and Computational Biology ,Biotechnology ,Genetics ,Detection ,screening and diagnosis ,4.1 Discovery and preclinical testing of markers and technologies ,Generic health relevance ,cerebrospinal fluid ,extracellular RNA ,extracellular vesicle ,plasma ,saliva ,small RNA ,tissue atlas ,urine ,Biological sciences ,Biomedical and clinical sciences - Abstract
One promising goal for utilizing the molecular information circulating in biofluids is the discovery of clinically useful biomarkers. Extracellular RNAs (exRNAs) are one of the most diverse classes of molecular cargo, easily assayed by sequencing and with expressions that rapidly change in response to subject status. Despite diverse exRNA cargo, most evaluations from biofluids have focused on small RNA sequencing and analysis, specifically on microRNAs (miRNAs). Another goal of characterizing circulating molecular information, is to correlate expression to injuries associated with specific tissues of origin. Biomarker candidates are often described as being specific, enriched in a particular tissue or associated with a disease process. Likewise, miRNA data is often reported to be specific, enriched for a tissue, without rigorous testing to support the claim. Here we provide a tissue atlas of small RNAs from 30 different tissues and three different blood cell types. We analyzed the tissues for enrichment of small RNA sequences and assessed their expression in biofluids: plasma, cerebrospinal fluid, urine, and saliva. We employed published data sets representing physiological (resting vs. acute exercise) and pathologic states (early- vs. late-stage liver fibrosis, and differential subtypes of stroke) to determine differential tissue-enriched small RNAs. We also developed an online tool that provides information about exRNA sequences found in different biofluids and tissues. The data can be used to better understand the various types of small RNA sequences in different tissues as well as their potential release into biofluids, which should help in the validation or design of biomarker studies.
- Published
- 2022
7. Leukocyte and cytokine variables in asymptomatic Pugs at genetic risk of necrotizing meningoencephalitis
- Author
-
Windsor, Rebecca, Stewart, Samuel D, Talboom, Joshua, Lewis, Candace, Naymik, Marcus, Piras, Ignazio S, Keller, Stefan, Borjesson, Dori L, Clark, Gary, Khanna, Chand, and Huentelman, Matthew
- Subjects
Veterinary Sciences ,Agricultural ,Veterinary and Food Sciences ,Clinical Research ,Genetics ,Inflammatory and immune system ,Animals ,Cytokines ,Dog Diseases ,Dogs ,Leukocytes ,Meningoencephalitis ,Prospective Studies ,cytokine ,genetic risk ,immune dysregulation ,necrotizing meningoencephalitis ,Veterinary sciences - Abstract
BackgroundNecrotizing meningoencephalitis (NME, aka Pug dog encephalitis) is an inflammatory brain condition associated with advanced disease at initial presentation, rapid progression, and poor response to conventional immunomodulatory therapy.Hypothesis/objectivesThat genetic risk for NME, defined by a common germline DNA haplotype located on chromosome 12, is associated with altered blood cytokine concentrations and leukocyte subsets in asymptomatic Pugs.AnimalsForty Pug dogs asymptomatic for NME from a hospital sample.MethodsProspective observational cohort study, including germline genome-wide genotyping, plasma cytokine determination by multiplexed profiling, and leukocyte subset characterization by flow cytometric analysis.ResultsSeven (18%) dogs were high risk, 10 (25%) medium risk, and 23 (58%) low risk for NME, giving a risk haplotype frequency of 30%. High and medium risk Pugs had significantly lower proportion of CD4+ T cells (median 22% [range, 7.3%-38%] vs 29% [range, 16%-41%], P = .03) and higher plasma IL-10 concentrations than low-risk Pugs (median 14.11 pg/mL [range, 9.66-344.19 pg/mL] vs 12.21 pg/mL [range, 2.59-18.53 pg/mL], P = .001). No other variables were significantly associated with the NME haplotype-based risk.Conclusions and clinical importanceThese data suggest an immunological underpinning to NME and a biologic rationale for future clinical trials that investigate novel diagnostic, preventative, and therapeutic strategies for this disease.
- Published
- 2021
8. Neuroimaging and verbal memory assessment in healthy aging adults using a portable low-field MRI scanner and a web-based platform: results from a proof-of-concept population-based cross-section study
- Author
-
Deoni, Sean C. L., Burton, Phoebe, Beauchemin, Jennifer, Cano-Lorente, Rosa, De Both, Matthew D., Johnson, Megan, Ryan, Lee, and Huentelman, Matthew J.
- Published
- 2023
- Full Text
- View/download PDF
9. Exceptionally low likelihood of Alzheimer's dementia in APOE2 homozygotes from a 5,000-person neuropathological study.
- Author
-
Reiman, Eric M, Arboleda-Velasquez, Joseph F, Quiroz, Yakeel T, Huentelman, Matthew J, Beach, Thomas G, Caselli, Richard J, Chen, Yinghua, Su, Yi, Myers, Amanda J, Hardy, John, Paul Vonsattel, Jean, Younkin, Steven G, Bennett, David A, De Jager, Philip L, Larson, Eric B, Crane, Paul K, Keene, C Dirk, Kamboh, M Ilyas, Kofler, Julia K, Duque, Linda, Gilbert, John R, Gwirtsman, Harry E, Buxbaum, Joseph D, Dickson, Dennis W, Frosch, Matthew P, Ghetti, Bernardino F, Lunetta, Kathryn L, Wang, Li-San, Hyman, Bradley T, Kukull, Walter A, Foroud, Tatiana, Haines, Jonathan L, Mayeux, Richard P, Pericak-Vance, Margaret A, Schneider, Julie A, Trojanowski, John Q, Farrer, Lindsay A, Schellenberg, Gerard D, Beecham, Gary W, Montine, Thomas J, Jun, Gyungah R, and Alzheimer’s Disease Genetics Consortium
- Subjects
Alzheimer’s Disease Genetics Consortium ,Brain ,Humans ,Alzheimer Disease ,Genetic Predisposition to Disease ,Probability ,Genotype ,Homozygote ,Alleles ,Aged ,Aged ,80 and over ,Middle Aged ,Female ,Male ,Apolipoprotein E2 ,Apolipoprotein E3 ,Apolipoprotein E4 ,Genetic Association Studies ,Neuropathology ,Aging ,Brain Disorders ,Acquired Cognitive Impairment ,Dementia ,Neurodegenerative ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Genetics ,Alzheimer's Disease ,Prevention ,Neurosciences ,2.1 Biological and endogenous factors ,Neurological - Abstract
Each additional copy of the apolipoprotein E4 (APOE4) allele is associated with a higher risk of Alzheimer's dementia, while the APOE2 allele is associated with a lower risk of Alzheimer's dementia, it is not yet known whether APOE2 homozygotes have a particularly low risk. We generated Alzheimer's dementia odds ratios and other findings in more than 5,000 clinically characterized and neuropathologically characterized Alzheimer's dementia cases and controls. APOE2/2 was associated with a low Alzheimer's dementia odds ratios compared to APOE2/3 and 3/3, and an exceptionally low odds ratio compared to APOE4/4, and the impact of APOE2 and APOE4 gene dose was significantly greater in the neuropathologically confirmed group than in more than 24,000 neuropathologically unconfirmed cases and controls. Finding and targeting the factors by which APOE and its variants influence Alzheimer's disease could have a major impact on the understanding, treatment and prevention of the disease.
- Published
- 2020
10. A de novo SIX1 variant in a patient with a rare nonsyndromic cochleovestibular nerve abnormality, cochlear hypoplasia, and bilateral sensorineural hearing loss
- Author
-
Kari, Elina, Llaci, Lorida, Go, John L, Naymik, Marcus, Knowles, James A, Leal, Suzanne M, Rangasamy, Sampath, Huentelman, Matthew J, Friedman, Rick A, and Schrauwen, Isabelle
- Subjects
Biological Sciences ,Medicinal and Biomolecular Chemistry ,Chemical Sciences ,Genetics ,Clinical Research ,Neurosciences ,Rehabilitation ,Human Genome ,Prevention ,Pediatric ,Congenital Structural Anomalies ,2.1 Biological and endogenous factors ,Aetiology ,Ear ,Congenital ,Child ,Cochlea ,Hearing Loss ,Bilateral ,Hearing Loss ,Sensorineural ,Homeodomain Proteins ,Humans ,Male ,Mutation ,Missense ,Pedigree ,Protein Domains ,Vestibulocochlear Nerve ,Exome Sequencing ,absent cochlear nerve ,cochleovestibular nerve abnormalities ,genetics of absent cochlear nerve ,pediatric hearing loss ,Clinical Sciences ,Medicinal and biomolecular chemistry - Abstract
BackgroundChildhood hearing impairment affects language and cognitive development. Profound congenital sensorineural hearing impairment can be due to an abnormal cochleovestibular nerve (CVN) and cochleovestibular malformations, however, the etiology of these conditions remains unclear.MethodsWe used a trio-based exome sequencing approach to unravel the underlying molecular etiology of a child with a rare nonsyndromic CVN abnormality and cochlear hypoplasia. Clinical and imaging data were also reviewed.ResultsWe identified a de novo missense variant [p(Asn174Tyr)] in the DNA-binding Homeodomain of SIX1, a gene which previously has been associated with autosomal dominant hearing loss (ADHL) and branchio-oto-renal or Branchio-otic syndrome, a condition not seen in this patient.ConclusionsSIX1 has an important function in otic vesicle patterning during embryogenesis, and mice show several abnormalities to their inner ear including loss of inner ear innervation. Previous reports on patients with SIX1 variants lack imaging data and nonsyndromic AD cases were reported to have no inner ear malformations. In conclusion, we show that a de novo variant in SIX1 in a patient with sensorineural hearing loss leads to cochleovestibular malformations and abnormalities of the CVN, without any other abnormalities. Without proper interventions, severe to profound hearing loss is devastating to both education and social integration. Choosing the correct intervention can be challenging and a molecular diagnosis may adjust intervention and improve outcomes, especially for rare cases.
- Published
- 2019
11. Association of homocysteine-related subcortical brain atrophy with white matter lesion volume and cognition in healthy aging
- Author
-
Song, Hyun, Bharadwaj, Pradyumna K., Raichlen, David A., Habeck, Christian G., Huentelman, Matthew J., Hishaw, Georg A., Trouard, Theodore P., and Alexander, Gene E.
- Published
- 2023
- Full Text
- View/download PDF
12. More than just risk for Alzheimer’s disease: APOE ε4's impact on the aging brain
- Author
-
Palmer, Justin M., Huentelman, Matthew, and Ryan, Lee
- Published
- 2023
- Full Text
- View/download PDF
13. Resistance to autosomal dominant Alzheimer's disease in an APOE3 Christchurch homozygote: a case report.
- Author
-
Arboleda-Velasquez, Joseph F, Lopera, Francisco, O'Hare, Michael, Delgado-Tirado, Santiago, Marino, Claudia, Chmielewska, Natalia, Saez-Torres, Kahira L, Amarnani, Dhanesh, Schultz, Aaron P, Sperling, Reisa A, Leyton-Cifuentes, David, Chen, Kewei, Baena, Ana, Aguillon, David, Rios-Romenets, Silvia, Giraldo, Margarita, Guzmán-Vélez, Edmarie, Norton, Daniel J, Pardilla-Delgado, Enmanuelle, Artola, Arabiye, Sanchez, Justin S, Acosta-Uribe, Juliana, Lalli, Matthew, Kosik, Kenneth S, Huentelman, Matthew J, Zetterberg, Henrik, Blennow, Kaj, Reiman, Rebecca A, Luo, Ji, Chen, Yinghua, Thiyyagura, Pradeep, Su, Yi, Jun, Gyungah R, Naymik, Marcus, Gai, Xiaowu, Bootwalla, Moiz, Ji, Jianling, Shen, Lishuang, Miller, John B, Kim, Leo A, Tariot, Pierre N, Johnson, Keith A, Reiman, Eric M, and Quiroz, Yakeel T
- Subjects
Brain ,Humans ,Alzheimer Disease ,Neurodegenerative Diseases ,Amyloid ,Pedigree ,Homozygote ,Mutation ,Aged ,Female ,Male ,Apolipoprotein E2 ,Apolipoprotein E3 ,Presenilin-1 ,Cognitive Dysfunction ,Immunology ,Medical and Health Sciences - Abstract
We identified a PSEN1 (presenilin 1) mutation carrier from the world's largest autosomal dominant Alzheimer's disease kindred, who did not develop mild cognitive impairment until her seventies, three decades after the expected age of clinical onset. The individual had two copies of the APOE3 Christchurch (R136S) mutation, unusually high brain amyloid levels and limited tau and neurodegenerative measurements. Our findings have implications for the role of APOE in the pathogenesis, treatment and prevention of Alzheimer's disease.
- Published
- 2019
14. Development of a mobile low-field MRI scanner
- Author
-
Deoni, Sean C. L., Medeiros, Paul, Deoni, Alexandra T., Burton, Phoebe, Beauchemin, Jennifer, D’Sa, Viren, Boskamp, Eddy, By, Samantha, McNulty, Chris, Mileski, William, Welch, Brian E., and Huentelman, Matthew
- Published
- 2022
- Full Text
- View/download PDF
15. Glyphosate infiltrates the brain and increases pro-inflammatory cytokine TNFα: implications for neurodegenerative disorders
- Author
-
Winstone, Joanna K., Pathak, Khyatiben V., Winslow, Wendy, Piras, Ignazio S., White, Jennifer, Sharma, Ritin, Huentelman, Matthew J., Pirrotte, Patrick, and Velazquez, Ramon
- Published
- 2022
- Full Text
- View/download PDF
16. A review and meta-analysis of gene expression profiles in suicide
- Author
-
Piras, Ignazio S, Huentelman, Matthew J., Pinna, Federica, Paribello, Pasquale, Solmi, Marco, Murru, Andrea, Carpiniello, Bernardo, Manchia, Mirko, and Zai, Clement C
- Published
- 2022
- Full Text
- View/download PDF
17. Analysis of shared heritability in common disorders of the brain
- Author
-
Consortium, The Brainstorm, Anttila, Verneri, Bulik-Sullivan, Brendan, Finucane, Hilary K, Walters, Raymond K, Bras, Jose, Duncan, Laramie, Escott-Price, Valentina, Falcone, Guido J, Gormley, Padhraig, Malik, Rainer, Patsopoulos, Nikolaos A, Ripke, Stephan, Wei, Zhi, Yu, Dongmei, Lee, Phil H, Turley, Patrick, Grenier-Boley, Benjamin, Chouraki, Vincent, Kamatani, Yoichiro, Berr, Claudine, Letenneur, Luc, Hannequin, Didier, Amouyel, Philippe, Boland, Anne, Deleuze, Jean-François, Duron, Emmanuelle, Vardarajan, Badri N, Reitz, Christiane, Goate, Alison M, Huentelman, Matthew J, Kamboh, M Ilyas, Larson, Eric B, Rogaeva, Ekaterina, St George-Hyslop, Peter, Hakonarson, Hakon, Kukull, Walter A, Farrer, Lindsay A, Barnes, Lisa L, Beach, Thomas G, Demirci, F Yesim, Head, Elizabeth, Hulette, Christine M, Jicha, Gregory A, Kauwe, John SK, Kaye, Jeffrey A, Leverenz, James B, Levey, Allan I, Lieberman, Andrew P, Pankratz, Vernon S, Poon, Wayne W, Quinn, Joseph F, Saykin, Andrew J, Schneider, Lon S, Smith, Amanda G, Sonnen, Joshua A, Stern, Robert A, Van Deerlin, Vivianna M, Van Eldik, Linda J, Harold, Denise, Russo, Giancarlo, Rubinsztein, David C, Bayer, Anthony, Tsolaki, Magda, Proitsi, Petra, Fox, Nick C, Hampel, Harald, Owen, Michael J, Mead, Simon, Passmore, Peter, Morgan, Kevin, Nöthen, Markus M, Schott, Jonathan M, Rossor, Martin, Lupton, Michelle K, Hoffmann, Per, Kornhuber, Johannes, Lawlor, Brian, McQuillin, Andrew, Al-Chalabi, Ammar, Bis, Joshua C, Ruiz, Agustin, Boada, Mercè, Seshadri, Sudha, Beiser, Alexa, Rice, Kenneth, van der Lee, Sven J, De Jager, Philip L, Geschwind, Daniel H, Riemenschneider, Matthias, Riedel-Heller, Steffi, Rotter, Jerome I, Ransmayr, Gerhard, Hyman, Bradley T, Cruchaga, Carlos, Alegret, Montserrat, Winsvold, Bendik, Palta, Priit, Farh, Kai-How, and Cuenca-Leon, Ester
- Subjects
Biological Sciences ,Genetics ,Biological Psychology ,Health Sciences ,Psychology ,Clinical Research ,Mental Health ,Human Genome ,Brain Disorders ,Neurosciences ,Mental Illness ,2.1 Biological and endogenous factors ,Neurological ,Mental health ,Brain Diseases ,Genetic Variation ,Genome-Wide Association Study ,Humans ,Mental Disorders ,Phenotype ,Quantitative Trait ,Heritable ,Risk Factors ,Brainstorm Consortium ,General Science & Technology - Abstract
Disorders of the brain can exhibit considerable epidemiological comorbidity and often share symptoms, provoking debate about their etiologic overlap. We quantified the genetic sharing of 25 brain disorders from genome-wide association studies of 265,218 patients and 784,643 control participants and assessed their relationship to 17 phenotypes from 1,191,588 individuals. Psychiatric disorders share common variant risk, whereas neurological disorders appear more distinct from one another and from the psychiatric disorders. We also identified significant sharing between disorders and a number of brain phenotypes, including cognitive measures. Further, we conducted simulations to explore how statistical power, diagnostic misclassification, and phenotypic heterogeneity affect genetic correlations. These results highlight the importance of common genetic variation as a risk factor for brain disorders and the value of heritability-based methods in understanding their etiology.
- Published
- 2018
18. Analysis of shared heritability in common disorders of the brain.
- Author
-
Brainstorm Consortium, Anttila, Verneri, Bulik-Sullivan, Brendan, Finucane, Hilary K, Walters, Raymond K, Bras, Jose, Duncan, Laramie, Escott-Price, Valentina, Falcone, Guido J, Gormley, Padhraig, Malik, Rainer, Patsopoulos, Nikolaos A, Ripke, Stephan, Wei, Zhi, Yu, Dongmei, Lee, Phil H, Turley, Patrick, Grenier-Boley, Benjamin, Chouraki, Vincent, Kamatani, Yoichiro, Berr, Claudine, Letenneur, Luc, Hannequin, Didier, Amouyel, Philippe, Boland, Anne, Deleuze, Jean-François, Duron, Emmanuelle, Vardarajan, Badri N, Reitz, Christiane, Goate, Alison M, Huentelman, Matthew J, Kamboh, M Ilyas, Larson, Eric B, Rogaeva, Ekaterina, St George-Hyslop, Peter, Hakonarson, Hakon, Kukull, Walter A, Farrer, Lindsay A, Barnes, Lisa L, Beach, Thomas G, Demirci, F Yesim, Head, Elizabeth, Hulette, Christine M, Jicha, Gregory A, Kauwe, John SK, Kaye, Jeffrey A, Leverenz, James B, Levey, Allan I, Lieberman, Andrew P, Pankratz, Vernon S, Poon, Wayne W, Quinn, Joseph F, Saykin, Andrew J, Schneider, Lon S, Smith, Amanda G, Sonnen, Joshua A, Stern, Robert A, Van Deerlin, Vivianna M, Van Eldik, Linda J, Harold, Denise, Russo, Giancarlo, Rubinsztein, David C, Bayer, Anthony, Tsolaki, Magda, Proitsi, Petra, Fox, Nick C, Hampel, Harald, Owen, Michael J, Mead, Simon, Passmore, Peter, Morgan, Kevin, Nöthen, Markus M, Rossor, Martin, Lupton, Michelle K, Hoffmann, Per, Kornhuber, Johannes, Lawlor, Brian, McQuillin, Andrew, Al-Chalabi, Ammar, Bis, Joshua C, Ruiz, Agustin, Boada, Mercè, Seshadri, Sudha, Beiser, Alexa, Rice, Kenneth, van der Lee, Sven J, De Jager, Philip L, Geschwind, Daniel H, Riemenschneider, Matthias, Riedel-Heller, Steffi, Rotter, Jerome I, Ransmayr, Gerhard, Hyman, Bradley T, Cruchaga, Carlos, Alegret, Montserrat, Winsvold, Bendik, Palta, Priit, Farh, Kai-How, Cuenca-Leon, Ester, and Furlotte, Nicholas
- Subjects
Brainstorm Consortium ,Humans ,Brain Diseases ,Risk Factors ,Mental Disorders ,Quantitative Trait ,Heritable ,Phenotype ,Genetic Variation ,Genome-Wide Association Study ,Clinical Research ,Neurosciences ,Rare Diseases ,Human Genome ,Brain Disorders ,Genetics ,Mental Health ,2.1 Biological and endogenous factors ,Mental health ,Neurological ,General Science & Technology - Abstract
Disorders of the brain can exhibit considerable epidemiological comorbidity and often share symptoms, provoking debate about their etiologic overlap. We quantified the genetic sharing of 25 brain disorders from genome-wide association studies of 265,218 patients and 784,643 control participants and assessed their relationship to 17 phenotypes from 1,191,588 individuals. Psychiatric disorders share common variant risk, whereas neurological disorders appear more distinct from one another and from the psychiatric disorders. We also identified significant sharing between disorders and a number of brain phenotypes, including cognitive measures. Further, we conducted simulations to explore how statistical power, diagnostic misclassification, and phenotypic heterogeneity affect genetic correlations. These results highlight the importance of common genetic variation as a risk factor for brain disorders and the value of heritability-based methods in understanding their etiology.
- Published
- 2018
19. FGF12 copy number variant associated with epileptic encephalopathy
- Author
-
Abraham, Anna, primary, Ramsey, Keri, additional, Belnap, Newell, additional, Szelinger, Szabolcs, additional, Jepsen, Wayne, additional, Balak, Chris, additional, Sanchez‐Castillo, Meredith, additional, Naymik, Marcus, additional, Bonfitto, Anna, additional, Rangasamy, Sampathkumar, additional, Kruglyak, Semyon, additional, Huentelman, Matthew, additional, and Narayanan, Vinodh, additional
- Published
- 2024
- Full Text
- View/download PDF
20. Regional covariance of white matter hyperintensity volume patterns associated with hippocampal volume in healthy aging
- Author
-
Van Etten, Emily J., primary, Bharadwaj, Pradyumna K., additional, Grilli, Matthew D., additional, Raichlen, David A., additional, Hishaw, Georg A., additional, Huentelman, Matthew J., additional, Trouard, Theodore P., additional, and Alexander, Gene E., additional
- Published
- 2024
- Full Text
- View/download PDF
21. Transcriptome-wide association study of post-trauma symptom trajectories identified GRIN3B as a potential biomarker for PTSD development
- Author
-
Lori, Adriana, Schultebraucks, Katharina, Galatzer-Levy, Isaac, Daskalakis, Nikolaos P., Katrinli, Seyma, Smith, Alicia K., Myers, Amanda J., Richholt, Ryan, Huentelman, Matthew, Guffanti, Guia, Wuchty, Stefan, Gould, Felicia, Harvey, Philip D., Nemeroff, Charles B., Jovanovic, Tanja, Gerasimov, Ekaterina S., Maples-Keller, Jessica L., Stevens, Jennifer S., Michopoulos, Vasiliki, Rothbaum, Barbara O., Wingo, Aliza P., and Ressler, Kerry J.
- Published
- 2021
- Full Text
- View/download PDF
22. Identification of retinoblastoma binding protein 7 (Rbbp7) as a mediator against tau acetylation and subsequent neuronal loss in Alzheimer’s disease and related tauopathies
- Author
-
Dave, Nikhil, Vural, Austin S., Piras, Ignazio S., Winslow, Wendy, Surendra, Likith, Winstone, Joanna K., Beach, Thomas G., Huentelman, Matthew J., and Velazquez, Ramon
- Published
- 2021
- Full Text
- View/download PDF
23. Integration of peripheral transcriptomics, genomics, and interactomics following trauma identifies causal genes for symptoms of post-traumatic stress and major depression
- Author
-
Wuchty, Stefan, Myers, Amanda J., Ramirez-Restrepo, Manuel, Huentelman, Matthew, Richolt, Ryan, Gould, Felicia, Harvey, Philip. D., Michopolous, Vasiliki, Steven, Jennifer S., Wingo, Aliza P., Lori, Adriana, Maples-Keller, Jessica L., Rothbaum, Alex O., Jovanovic, Tanja, Rothbaum, Barbara O., Ressler, Kerry J., and Nemeroff, Charles B.
- Published
- 2021
- Full Text
- View/download PDF
24. Harsh Parenting Predicts Novel HPA Receptor Gene Methylation and NR3C1 Methylation Predicts Cortisol Daily Slope in Middle Childhood
- Author
-
Lewis, Candace R., Breitenstein, Reagan S., Henderson, Adrienne, Sowards, Hayley A., Piras, Ignazio S., Huentelman, Matthew J., Doane, Leah D., and Lemery-Chalfant, Kathryn
- Published
- 2021
- Full Text
- View/download PDF
25. Cortical lobar volume reductions associated with homocysteine-related subcortical brain atrophy and poorer cognition in healthy aging.
- Author
-
Hyun Song, Bharadwaj, Pradyumna K., Raichlen, David A., Habeck, Christian G., Grilli, Matthew D., Huentelman, Matthew J., Hishaw, Georg A., Trouard, Theodore P., and Alexander, Gene E.
- Subjects
COGNITION disorder risk factors ,BRAIN anatomy ,HOMOCYSTEINE ,RESEARCH funding ,BASAL ganglia ,MULTIVARIATE analysis ,CARDIOVASCULAR diseases risk factors ,DESCRIPTIVE statistics ,GRAY matter (Nerve tissue) ,ATROPHY ,LONGITUDINAL method ,WHITE matter (Nerve tissue) ,HIPPOCAMPUS (Brain) ,NEURORADIOLOGY ,PARIETAL lobe ,FACTOR analysis ,ACTIVE aging ,COGNITIVE aging ,REGRESSION analysis - Abstract
Homocysteine (Hcy) is a cardiovascular risk factor implicated in cognitive impairment and cerebrovascular disease but has also been associated with Alzheimer's disease. In 160 healthy older adults (mean age = 69.66 ± 9.95 years), we sought to investigate the association of cortical brain volume with white matter hyperintensity (WMH) burden and a previously identified Hcy-related multivariate network pattern showing reductions in subcortical gray matter (SGM) volumes of hippocampus and nucleus accumbens with relative preservation of basal ganglia. We additionally evaluated the potential role of these brain imaging markers as a series of mediators in a vascular brain pathway leading to age-related cognitive dysfunction in healthy aging. We found reductions in parietal lobar gray matter associated with the Hcy-SGM pattern, which was further associated with WMH burden. Mediation analyses revealed that slowed processing speed related to aging, but not executive functioning or memory, was mediated sequentially through increased WMH lesion volume, greater Hcy-SGM pattern expression, and then smaller parietal lobe volume. Together, these findings suggest that volume reductions in parietal gray matter associated with a pattern of Hcy-related SGM volume differences may be indicative of slowed processing speed in cognitive aging, potentially linking cardiovascular risk to an important aspect of cognitive dysfunction in healthy aging. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
26. Impact of age and apolipoprotein E ε4 status on regional white matter hyperintensity volume and cognition in healthy aging.
- Author
-
Van Etten, Emily J., Bharadwaj, Pradyumna K., Grilli, Matthew D., Raichlen, David A., Hishaw, Georg A., Huentelman, Matthew J., Trouard, Theodore P., and Alexander, Gene E.
- Subjects
EXECUTIVE function ,AGE differences ,COGNITIVE aging ,DISEASE risk factors ,OLDER people ,APOLIPOPROTEIN E4 - Abstract
Objective: White matter hyperintensity (WMH) volume is a neuroimaging marker of lesion load related to small vessel disease that has been associated with cognitive aging and Alzheimer's disease (AD) risk. Method: The present study sought to examine whether regional WMH volume mediates the relationship between APOE ε4 status, a strong genetic risk factor for AD, and cognition and if this association is moderated by age group differences within a sample of 187 healthy older adults (APOE ε4 status [carrier/non-carrier] = 56/131). Results: After we controlled for sex, education, and vascular risk factors, ANCOVA analyses revealed significant age group by APOE ε4 status interactions for right parietal and left temporal WMH volumes. Within the young-old group (50-69 years), ε4 carriers had greater right parietal and left temporal WMH volumes than non-carriers. However, in the old-old group (70-89 years), right parietal and left temporal WMH volumes were comparable across APOE ε4 groups. Further, within ε4 non-carriers, old-old adults had greater right parietal and left temporal WMH volumes than young-old adults, but there were no significant differences across age groups in ε4 carriers. Follow-up moderated mediation analyses revealed that, in the young-old, but not the old-old group, there were significant indirect effects of ε4 status on memory and executive functions through left temporal WMH volume. Conclusions: These findings suggest that, among healthy young-old adults, increased left temporal WMH volume, in the context of the ε4 allele, may represent an early marker of cognitive aging with the potential to lead to greater risk for AD. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
27. Longitudinal white matter and cognitive development in pediatric carriers of the apolipoprotein ε4 allele
- Author
-
Remer, Justin, Dean, Douglas C., III, Chen, Kewei, Reiman, Rebecca A., Huentelman, Matthew J., Reiman, Eric M., and Deoni, Sean C.L.
- Published
- 2020
- Full Text
- View/download PDF
28. Cell death and survival pathways in Alzheimer's disease: an integrative hypothesis testing approach utilizing -omic data sets
- Author
-
Brokaw, Danielle L., Piras, Ignazio S., Mastroeni, Diego, Weisenberger, Daniel J., Nolz, Jennifer, Delvaux, Elaine, Serrano, Geidy E., Beach, Thomas G., Huentelman, Matthew J., and Coleman, Paul D.
- Published
- 2020
- Full Text
- View/download PDF
29. Epigenetic differences in inflammation genes of monozygotic twins are related to parent-child emotional availability and health
- Author
-
Lewis, Candace R., Sowards, Hayley A., Huentelman, Matthew J., Doane, Leah D., and Lemery-Chalfant, Kathryn
- Published
- 2020
- Full Text
- View/download PDF
30. The Developing Myeloarchitecture of the Human Cortex: Relationships between Intra-Cortical Myelination and Developing Cognitive Function
- Author
-
Deoni, Sean CL, primary, D’Sa, Viren, additional, Beauchemin, Jennifer, additional, Huentelman, Matthew, additional, Lewis, Candace, additional, Carnell, Susan, additional, Bonham, Kevin, additional, Klepec-Ceraj, Vanja, additional, Bruchhage, Muriel, additional, and Volpe, Alexandra, additional
- Published
- 2024
- Full Text
- View/download PDF
31. Snyder-Robinson syndrome presenting with learning disability, epilepsy, and osteoporosis: A novel SMS gene variant
- Author
-
Leung, Megumi, primary, Sanchez-Castillo, Meredith, additional, Belnap, Newell, additional, Naymik, Marcus, additional, Bonfitto, Anna, additional, Sloan, Jennifer, additional, Hassett, Katie, additional, Jepsen, Wayne M., additional, Sankaramoorthy, Aravind, additional, Stewart, Tracy Murray, additional, Foley, Jackson R., additional, Rangasamy, Sampathkumar, additional, Huentelman, Matthew J., additional, Narayanan, Vinodh, additional, and Ramsey, Keri, additional
- Published
- 2024
- Full Text
- View/download PDF
32. Assessment of the genetic variance of late-onset Alzheimer's disease
- Author
-
Ridge, Perry G, Hoyt, Kaitlyn B, Boehme, Kevin, Mukherjee, Shubhabrata, Crane, Paul K, Haines, Jonathan L, Mayeux, Richard, Farrer, Lindsay A, Pericak-Vance, Margaret A, Schellenberg, Gerard D, Kauwe, John SK, Consortium, Alzheimer's Disease Genetics, Adams, Perrie M, Albert, Marilyn S, Albin, Roger L, Apostolova, Liana G, Arnold, Steven E, Asthana, Sanjay, Atwood, Craig S, Baldwin, Clinton T, Barber, Robert C, Barmada, Michael M, Barnes, Lisa L, Barral, Sandra, Beach, Thomas G, Becker, James T, Beecham, Gary W, Beekly, Duane, Bennett, David A, Bigio, Eileen H, Bird, Thomas D, Blacker, Deborah, Boeve, Bradley F, Bowen, James D, Boxer, Adam, Burke, James R, Burns, Jeffrey M, Buxbaum, Joseph D, Cairns, Nigel J, Cantwell, Laura B, Cao, Chuanhai, Carlson, Chris S, Carlsson, Cynthia M, Carney, Regina M, Carrasquillo, Minerva M, Carroll, Steven L, Chui, Helena C, Clark, David G, Corneveaux, Jason, Cribbs, David H, Crocco, Elizabeth A, Cruchaga, Carlos, De Jager, Philip L, DeCarli, Charles, Demirci, F Yesim, Dick, Malcolm, Dickson, Dennis W, Doody, Rachelle S, Duara, Ranjan, Ertekin-Taner, Nilufer, Evans, Denis A, Faber, Kelley M, Fairchild, Thomas J, Fallon, Kenneth B, Fardo, David W, Farlow, Martin R, Ferris, Steven, Foroud, Tatiana M, Frosch, Matthew P, Galasko, Douglas R, Gearing, Marla, Geschwind, Daniel H, Ghetti, Bernardino, Gilbert, John R, Goate, Alison M, Graff-Radford, Neill R, Green, Robert C, Growdon, John H, Hakonarson, Hakon, Hamilton, Ronald L, Hamilton-Nelson, Kara L, Hardy, John, Harrell, Lindy E, Honig, Lawrence S, Huebinger, Ryan M, Huentelman, Matthew J, Hulette, Christine M, Hyman, Bradley T, Jarvik, Gail P, Jicha, Gregory A, Jin, Lee-Way, Jun, Gyungah, Kamboh, M Ilyas, Karydas, Anna, Katz, Mindy J, Kaye, Jeffrey A, Kim, Ronald, and Kowall, Neil W
- Subjects
Biological Psychology ,Biomedical and Clinical Sciences ,Neurosciences ,Psychology ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Alzheimer's Disease ,Neurodegenerative ,Human Genome ,Acquired Cognitive Impairment ,Aging ,Dementia ,Genetics ,Brain Disorders ,2.1 Biological and endogenous factors ,Neurological ,Aged ,Aged ,80 and over ,Alzheimer Disease ,Amyloid beta-Protein Precursor ,Datasets as Topic ,Female ,Genetic Variation ,Genome-Wide Association Study ,Humans ,Male ,Membrane Glycoproteins ,Netrin Receptors ,Polymorphism ,Single Nucleotide ,Receptors ,Cell Surface ,Receptors ,Immunologic ,Risk ,Alzheimer's Disease Genetics Consortium ,Alzheimer's disease ,Genetic variance ,Clinical Sciences ,Neurology & Neurosurgery ,Biological psychology - Abstract
Alzheimer's disease (AD) is a complex genetic disorder with no effective treatments. More than 20 common markers have been identified, which are associated with AD. Recently, several rare variants have been identified in Amyloid Precursor Protein (APP), Triggering Receptor Expressed On Myeloid Cells 2 (TREM2) and Unc-5 Netrin Receptor C (UNC5C) that affect risk for AD. Despite the many successes, the genetic architecture of AD remains unsolved. We used Genome-wide Complex Trait Analysis to (1) estimate phenotypic variance explained by genetics; (2) calculate genetic variance explained by known AD single nucleotide polymorphisms (SNPs); and (3) identify the genomic locations of variation that explain the remaining unexplained genetic variance. In total, 53.24% of phenotypic variance is explained by genetics, but known AD SNPs only explain 30.62% of the genetic variance. Of the unexplained genetic variance, approximately 41% is explained by unknown SNPs in regions adjacent to known AD SNPs, and the remaining unexplained genetic variance outside these regions.
- Published
- 2016
33. A comprehensive catalogue of the coding and non-coding transcripts of the human inner ear.
- Author
-
Schrauwen, Isabelle, Hasin-Brumshtein, Yehudit, Corneveaux, Jason, Ohmen, Jeffrey, White, Cory, Allen, April, Lusis, Aldons, Van Camp, Guy, Huentelman, Matthew, and Friedman, Rick
- Subjects
Balance ,Cochlea ,Hearing ,RNA-Seq ,Transcriptome ,Vestibule ,Animals ,Computational Biology ,Databases ,Genetic ,Deafness ,Ear ,Inner ,Gene Expression Profiling ,Genetic Predisposition to Disease ,Hearing ,Humans ,Mice ,Oligonucleotide Array Sequence Analysis ,Phenotype ,RNA ,Messenger ,RNA ,Untranslated ,Sequence Analysis ,RNA ,Transcriptome - Abstract
The mammalian inner ear consists of the cochlea and the vestibular labyrinth (utricle, saccule, and semicircular canals), which participate in both hearing and balance. Proper development and life-long function of these structures involves a highly complex coordinated system of spatial and temporal gene expression. The characterization of the inner ear transcriptome is likely important for the functional study of auditory and vestibular components, yet, primarily due to tissue unavailability, detailed expression catalogues of the human inner ear remain largely incomplete. We report here, for the first time, comprehensive transcriptome characterization of the adult human cochlea, ampulla, saccule and utricle of the vestibule obtained from patients without hearing abnormalities. Using RNA-Seq, we measured the expression of >50,000 predicted genes corresponding to approximately 200,000 transcripts, in the adult inner ear and compared it to 32 other human tissues. First, we identified genes preferentially expressed in the inner ear, and unique either to the vestibule or cochlea. Next, we examined expression levels of specific groups of potentially interesting RNAs, such as genes implicated in hearing loss, long non-coding RNAs, pseudogenes and transcripts subject to nonsense mediated decay (NMD). We uncover the spatial specificity of expression of these RNAs in the hearing/balance system, and reveal evidence of tissue specific NMD. Lastly, we investigated the non-syndromic deafness loci to which no gene has been mapped, and narrow the list of potential candidates for each locus. These data represent the first high-resolution transcriptome catalogue of the adult human inner ear. A comprehensive identification of coding and non-coding RNAs in the inner ear will enable pathways of auditory and vestibular function to be further defined in the study of hearing and balance. Expression data are freely accessible at https://www.tgen.org/home/research/research-divisions/neurogenomics/supplementary-data/inner-ear-transcriptome.aspx.
- Published
- 2016
34. CELSR3 deficiency leads to tic-related behaviors and dopaminergic alterations in the striatum
- Author
-
Cadeddu, Roberto, primary, Braccagni, Giulia, additional, Musci, Teresa, additional, Piras, Ignazio S, additional, Anderson, Collin J, additional, Capecchi, Mario R, additional, Huentelman, Matthew J, additional, Moos, Philip J, additional, and Bortolato, Marco, additional
- Published
- 2023
- Full Text
- View/download PDF
35. Distinct cultured microglia characteristics distinguish cognitive SuperAgers from their cognitively normal peers
- Author
-
Taefi, Erfan, primary, Bahrami, Atousa, additional, Garcia, Donte, additional, Ayala, Ivan, additional, Hickman, Suzanne E, additional, Gefen, Tamar, additional, Huentelman, Matthew J, additional, Mesulam, Marsel, additional, Rogalski, Emily J, additional, Khoury, Joseph El, additional, and Geula, Changiz, additional
- Published
- 2023
- Full Text
- View/download PDF
36. Evaluating the Causal Association Between Genetically Proxied Psychiatric Disorders and SuperAging
- Author
-
Nassan, Malik, primary, Piras, Ignazio, additional, Geula, Changiz, additional, Mesulam, Marsel, additional, Huentelman, Matthew J, additional, and Rogalski, Emily J, additional
- Published
- 2023
- Full Text
- View/download PDF
37. Enrollment and Scientific Progress of the Multisite SuperAging Research Initiative
- Author
-
Rogalski, Emily J, primary, Huentelman, Matthew J, additional, Roberts, Angela C, additional, McIlroy, William, additional, Van Ooteghem, Karen, additional, Finger, Elizabeth, additional, Lim, Andrew, additional, Okonkwo, Ozioma, additional, Goldstein, Felicia C, additional, Martersteck, Adam, additional, Parrish, Todd, additional, Scholtens, Denise, additional, Gill, Nathan Pruneau, additional, Tull, Mary Beth, additional, Pina, Yasmin, additional, Dorn, Megan, additional, Carolan, Padraig, additional, Zemlock, Debby, additional, Eldes, Fatima, additional, Amador, Gabriella, additional, Mather, Molly A, additional, Engelmeyer, Janessa, additional, Weintraub, Sandra, additional, Geula, Changiz, additional, Mesulam, Marsel, additional, and Maher, Amanda Cook, additional
- Published
- 2023
- Full Text
- View/download PDF
38. Maternal choline supplementation ameliorates Alzheimer’s disease pathology by reducing brain homocysteine levels across multiple generations
- Author
-
Velazquez, Ramon, Ferreira, Eric, Winslow, Wendy, Dave, Nikhil, Piras, Ignazio S., Naymik, Marcus, Huentelman, Matthew J., Tran, An, Caccamo, Antonella, and Oddo, Salvatore
- Published
- 2020
- Full Text
- View/download PDF
39. Protective variant for hippocampal atrophy identified by whole exome sequencing
- Author
-
Nho, Kwangsik, Kim, Sungeun, Risacher, Shannon L, Shen, Li, Corneveaux, Jason J, Swaminathan, Shanker, Lin, Hai, Ramanan, Vijay K, Liu, Yunlong, Foroud, Tatiana M, Inlow, Mark H, Siniard, Ashley L, Reiman, Rebecca A, Aisen, Paul S, Petersen, Ronald C, Green, Robert C, Jack, Clifford R, Weiner, Michael W, Baldwin, Clinton T, Lunetta, Kathryn L, Farrer, Lindsay A, Study, for the MIRAGE, Furney, Simon J, Lovestone, Simon, Simmons, Andrew, Mecocci, Patrizia, Vellas, Bruno, Tsolaki, Magda, Kloszewska, Iwona, Soininen, Hilkka, Consortium, for the AddNeuroMed, McDonald, Brenna C, Farlow, Martin R, Ghetti, Bernardino, Study, for the Indiana Memory and Aging, Huentelman, Matthew J, Saykin, Andrew J, and Initiative, for the Alzheimer's Disease Neuroimaging
- Subjects
Biomedical and Clinical Sciences ,Neurosciences ,Clinical Sciences ,Alzheimer's Disease ,Clinical Research ,Neurodegenerative ,Brain Disorders ,Aging ,Acquired Cognitive Impairment ,Dementia ,Genetics ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Human Genome ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Aged ,Alzheimer Disease ,Amnesia ,Atrophy ,Cognitive Dysfunction ,Disease Progression ,Exome ,Hippocampus ,Humans ,Male ,Mutation ,Missense ,Protective Factors ,Repressor Proteins ,Sequence Analysis ,DNA ,MIRAGE (Multi-Institutional Research on Alzheimer Genetic Epidemiology) Study ,AddNeuroMed Consortium ,Indiana Memory and Aging Study ,Alzheimer's Disease Neuroimaging Initiative ,Neurology & Neurosurgery ,Clinical sciences - Abstract
We used whole-exome sequencing to identify variants other than APOE associated with the rate of hippocampal atrophy in amnestic mild cognitive impairment. An in-silico predicted missense variant in REST (rs3796529) was found exclusively in subjects with slow hippocampal volume loss and validated using unbiased whole-brain analysis and meta-analysis across 5 independent cohorts. REST is a master regulator of neurogenesis and neuronal differentiation that has not been previously implicated in Alzheimer's disease. These findings nominate REST and its functional pathways as protective and illustrate the potential of combining next-generation sequencing with neuroimaging to discover novel disease mechanisms and potential therapeutic targets.
- Published
- 2015
40. Meeting report: discussions and preliminary findings on extracellular RNA measurement methods from laboratories in the NIH Extracellular RNA Communication Consortium
- Author
-
Laurent, Louise C, Abdel‐Mageed, Asim B, Adelson, P David, Arango, Jorge, Balaj, Leonora, Breakefield, Xandra, Carlson, Elizabeth, Carter, Bob S, Majem, Blanca, Chen, Clark C, Cocucci, Emanuele, Danielson, Kirsty, Courtright, Amanda, Das, Saumya, Elmageed, Zakaria Y Abd, Enderle, Daniel, Ezrin, Alan, Ferrer, Marc, Freedman, Jane, Galas, David, Gandhi, Roopali, Huentelman, Matthew J, Van Keuren‐Jensen, Kendall, Kalani, Yashar, Kim, Yong, Krichevsky, Anna M, Lai, Charles, Lal‐Nag, Madhu, Laurent, Clara D, Leonardo, Trevor, Li, Feng, Malenica, Ivana, Mondal, Debasis, Nejad, Parham, Patel, Tushar, Raffai, Robert L, Rubio, Renee, Skog, Johan, Spetzler, Robert, Sun, Jie, Tanriverdi, Kahraman, Vickers, Kasey, Wang, Liang, Wang, Yaoyu, Wei, Zhiyun, Weiner, Howard L, Wong, David, Yan, Irene K, Yeri, Ashish, and Gould, Stephen
- Subjects
Genetics ,extracellular RNA ,extracellular vesicles ,exosomes ,microvesicles ,RNA sequencing ,Biochemistry and Cell Biology - Abstract
Extracellular RNAs (exRNAs) have been identified in all tested biofluids and have been associated with a variety of extracellular vesicles, ribonucleoprotein complexes and lipoprotein complexes. Much of the interest in exRNAs lies in the fact that they may serve as signalling molecules between cells, their potential to serve as biomarkers for prediction and diagnosis of disease and the possibility that exRNAs or the extracellular particles that carry them might be used for therapeutic purposes. Among the most significant bottlenecks to progress in this field is the lack of robust and standardized methods for collection and processing of biofluids, separation of different types of exRNA-containing particles and isolation and analysis of exRNAs. The Sample and Assay Standards Working Group of the Extracellular RNA Communication Consortium is a group of laboratories funded by the U.S. National Institutes of Health to develop such methods. In our first joint endeavour, we held a series of conference calls and in-person meetings to survey the methods used among our members, placed them in the context of the current literature and used our findings to identify areas in which the identification of robust methodologies would promote rapid advancements in the exRNA field.
- Published
- 2015
41. Compound heterozygous mutations in SNAP29 is associated with Pelizaeus-Merzbacher-like disorder (PMLD)
- Author
-
Llaci, Lorida, Ramsey, Keri, Belnap, Newell, Claasen, Ana M., Balak, Chris D., Szelinger, Szabolcs, Jepsen, Wayne M., Siniard, Ashley L., Richholt, Ryan, Izat, Tyler, Naymik, Marcus, De Both, Matt, Piras, Ignazio S., Craig, David W., Huentelman, Matthew J., Narayanan, Vinodh, Schrauwen, Isabelle, and Rangasamy, Sampathkumar
- Published
- 2019
- Full Text
- View/download PDF
42. Effects of Multiple Genetic Loci on Age at Onset in Late-Onset Alzheimer Disease
- Author
-
Naj, Adam C, Jun, Gyungah, Reitz, Christiane, Kunkle, Brian W, Perry, William, Park, Yo Son, Beecham, Gary W, Rajbhandary, Ruchita A, Hamilton-Nelson, Kara L, Wang, Li-San, Kauwe, John S. K, Huentelman, Matthew J, Myers, Amanda J, Bird, Thomas D, Boeve, Bradley F, Baldwin, Clinton T, Jarvik, Gail P, Crane, Paul K, Rogaeva, Ekaterina, Barmada, M. Michael, Demirci, F. Yesim, Cruchaga, Carlos, Kramer, Patricia L, Ertekin-Taner, Nilufer, Hardy, John, Graff-Radford, Neill R, Green, Robert C, Larson, Eric B, St. George-Hyslop, Peter H, Buxbaum, Joseph D, Evans, Denis A, Schneider, Julie A, Lunetta, Kathryn L, Kamboh, M. Ilyas, Saykin, Andrew J, Reiman, Eric M, De Jager, Philip L, Bennett, David A, Morris, John C, Montine, Thomas J, Goate, Alison M, Blacker, Deborah, Tsuang, Debby W, Hakonarson, Hakon, Kukull, Walter A, Foroud, Tatiana M, Martin, Eden R, Haines, Jonathan L, Mayeux, Richard P, Farrer, Lindsay A, Schellenberg, Gerard D, Pericak-Vance, Margaret A, Albert, Marilyn S, Albin, Roger L, Apostolova, Liana G, Arnold, Steven E, Barber, Robert, Barnes, Lisa L, Beach, Thomas G, Becker, James T, Beekly, Duane, Bigio, Eileen H, Bowen, James D, Boxer, Adam, Burke, James R, Cairns, Nigel J, Cantwell, Laura B, Cao, Chuanhai, Carlson, Chris S, Carney, Regina M, Carrasquillo, Minerva M, Carroll, Steven L, Chui, Helena C, Clark, David G, Corneveaux, Jason, Cribbs, David H, Crocco, Elizabeth A, DeCarli, Charles, DeKosky, Steven T, Dick, Malcolm, Dickson, Dennis W, Duara, Ranjan, Faber, Kelley M, Fallon, Kenneth B, Farlow, Martin R, Ferris, Steven, Frosch, Matthew P, Galasko, Douglas R, Ganguli, Mary, Gearing, Marla, Geschwind, Daniel H, Ghetti, Bernardino, Gilbert, John R, Glass, Jonathan D, Growdon, John H, Hamilton, Ronald L, Harrell, Lindy E, Head, Elizabeth, Honig, Lawrence S, and Hulette, Christine M
- Published
- 2014
43. Genetic analysis of quantitative phenotypes in AD and MCI: imaging, cognition and biomarkers.
- Author
-
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 SK, 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, and Alzheimer’s Disease Neuroimaging Initiative
- Subjects
Alzheimer’s Disease Neuroimaging Initiative ,Humans ,Alzheimer Disease ,Cognition ,Phenotype ,Neuroimaging ,Biomarkers ,Cognitive Dysfunction ,Alzheimer's disease ,Genetic association study ,Quantitative traits ,Biomarker ,Experimental Psychology ,Medical and Health Sciences ,Psychology and Cognitive Sciences - Abstract
The 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.
- Published
- 2014
44. Genetic Implication of a Novel Thiamine Transporter in Human Hypertension
- Author
-
Zhang, Kuixing, Huentelman, Matthew J, Rao, Fangwen, Sun, Eric I, Corneveaux, Jason J, Schork, Andrew J, Wei, Zhiyun, Waalen, Jill, Miramontes-Gonzalez, Jose Pablo, Hightower, C Makena, Maihofer, Adam X, Mahata, Manjula, Pastinen, Tomi, Ehret, Georg B, Studies, International Consortium for Blood Pressure Genome-Wide Association, Schork, Nicholas J, Eskin, Eleazar, Nievergelt, Caroline M, Saier, Milton H, and O'Connor, Daniel T
- Subjects
Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Women's Health ,Cardiovascular ,Hypertension ,Human Genome ,Biotechnology ,Clinical Research ,Genetics ,Heart Disease ,Aetiology ,2.1 Biological and endogenous factors ,Adult ,Alleles ,Blood Pressure ,DNA ,Female ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Genotype ,Humans ,Male ,Membrane Transport Proteins ,Phenotype ,Polymorphism ,Genetic ,Thiamine ,hypertension ,SLC35F3 ,thiamine ,transporter ,International Consortium for Blood Pressure Genome-Wide Association Studies ,Cardiorespiratory Medicine and Haematology ,Public Health and Health Services ,Cardiovascular System & Hematology ,Cardiovascular medicine and haematology - Abstract
ObjectivesThis study coupled 2 strategies-trait extremes and genome-wide pooling-to discover a novel blood pressure (BP) locus that encodes a previously uncharacterized thiamine transporter.BackgroundHypertension is a heritable trait that remains the most potent and widespread cardiovascular risk factor, although details of its genetic determination are poorly understood.MethodsRepresentative genomic deoxyribonucleic acid (DNA) pools were created from male and female subjects in the highest- and lowest-fifth percentiles of BP in a primary care population of >50,000 patients. The peak associated single-nucleotide polymorphisms were typed in individual DNA samples, as well as in twins/siblings phenotyped for cardiovascular and autonomic traits. Biochemical properties of the associated transporter were evaluated in cellular assays.ResultsAfter chip hybridization and calculation of relative allele scores, the peak associations were typed in individual samples, revealing an association between hypertension, systolic BP, and diastolic BP and the previously uncharacterized solute carrier SLC35F3. The BP genetic association at SLC35F3 was validated by meta-analysis in an independent sample from the original source population, as well as the International Consortium for Blood Pressure Genome-Wide Association Studies (across North America and western Europe). Sequence homology to a putative yeast thiamine (vitamin B1) transporter prompted us to express human SLC35F3 in Escherichia coli, which catalyzed [(3)H]-thiamine uptake. SLC35F3 risk-allele homozygotes (T/T) displayed decreased erythrocyte thiamine content on microbiological assay. In twin pairs, the SLC35F3 risk allele predicted heritable cardiovascular traits previously associated with thiamine deficiency, including elevated cardiac stroke volume with decreased vascular resistance, and elevated pressor responses to environmental (cold) stress. Allelic expression imbalance confirmed that cis variation at the human SLC35F3 locus influenced expression of that gene, and the allelic expression imbalance peak coincided with the hypertension peak.ConclusionsNovel strategies were coupled to position a new hypertension-susceptibility locus, uncovering a previously unsuspected thiamine transporter whose genetic variants predicted several disturbances in cardiac and autonomic function. The results have implications for the pathogenesis and treatment of systemic hypertension.
- Published
- 2014
45. Identification of novel genetic risk loci in Maltese dogs with necrotizing meningoencephalitis and evidence of a shared genetic risk across toy dog breeds.
- Author
-
Schrauwen, Isabelle, Barber, Renee M, Schatzberg, Scott J, Siniard, Ashley L, Corneveaux, Jason J, Porter, Brian F, Vernau, Karen M, Keesler, Rebekah I, Matiasek, Kaspar, Flegel, Thomas, Miller, Andrew D, Southard, Teresa, Mariani, Christopher L, Johnson, Gayle C, and Huentelman, Matthew J
- Subjects
Chromosomes ,Mammalian ,Animals ,Dogs ,Meningoencephalitis ,Dog Diseases ,Genetic Predisposition to Disease ,F-Box Proteins ,Receptors ,Interleukin-7 ,Histocompatibility Antigens Class II ,Risk Factors ,Breeding ,Haplotypes ,Polymorphism ,Single Nucleotide ,Female ,Male ,Genome-Wide Association Study ,Genetic Loci ,Chromosomes ,Mammalian ,Polymorphism ,Single Nucleotide ,Receptors ,Interleukin-7 ,General Science & Technology - Abstract
Necrotizing meningoencephalitis (NME) affects toy and small breed dogs causing progressive, often fatal, inflammation and necrosis in the brain. Genetic risk loci for NME previously were identified in pug dogs, particularly associated with the dog leukocyte antigen (DLA) class II complex on chromosome 12, but have not been investigated in other susceptible breeds. We sought to evaluate Maltese and Chihuahua dogs, in addition to pug dogs, to identify novel or shared genetic risk factors for NME development. Genome-wide association testing of single nucleotide polymorphisms (SNPs) in Maltese dogs with NME identified 2 regions of genome-wide significance on chromosomes 4 (chr4:74522353T>A, p = 8.1×10-7) and 15 (chr15:53338796A>G, p = 1.5×10-7). Haplotype analysis and fine-mapping suggests that ILR7 and FBXW7, respectively, both important for regulation of immune system function, could be the underlying associated genes. Further evaluation of these regions and the previously identified DLA II locus across all three breeds, revealed an enrichment of nominal significant SNPs associated with chromosome 15 in pug dogs and DLA II in Maltese and Chihuahua dogs. Meta-analysis confirmed effect sizes the same direction in all three breeds for both the chromosome 15 and DLA II loci (p = 8.6×10-11 and p = 2.5×10-7, respectively). This suggests a shared genetic background exists between all breeds and confers susceptibility to NME, but effect sizes might be different among breeds. In conclusion, we identified the first genetic risk factors for NME development in the Maltese, chromosome 4 and chromosome 15, and provide evidence for a shared genetic risk between breeds associated with chromosome 15 and DLA II. Last, DLA II and IL7R both have been implicated in human inflammatory diseases of the central nervous system such as multiple sclerosis, suggesting that similar pharmacotherapeutic targets across species should be investigated.
- Published
- 2014
46. APOE ε4-Allele in Middle-Aged and Older Autistic Adults: Associations with Verbal Learning and Memory
- Author
-
Harker, Samantha A., primary, Al-Hassan, Lamees, additional, Huentelman, Matthew J., additional, Braden, B. Blair, additional, and Lewis, Candace R., additional
- Published
- 2023
- Full Text
- View/download PDF
47. Transient ACE (Angiotensin-Converting Enzyme) Inhibition Suppresses Future Fibrogenic Capacity and Heterogeneity of Cardiac Fibroblast Subpopulations
- Author
-
Garvin, Alexandra M., De Both, Matthew D., Talboom, Joshua S., Lindsey, Merry L., Huentelman, Matthew J., and Hale, Taben M.
- Published
- 2021
- Full Text
- View/download PDF
48. Neonatal epileptic encephalopathy caused by de novo GNAO1 mutation misdiagnosed as atypical Rett syndrome: Cautions in interpretation of genomic test results
- Author
-
Gerald, Brittany, Ramsey, Keri, Belnap, Newell, Szelinger, Szabolcs, Siniard, Ashley L., Balak, Chris, Russell, Megan, Richholt, Ryan, De Both, Matt, Claasen, Ana M., Schrauwen, Isabelle, Huentelman, Matthew J., Craig, David W., Rangasamy, Sampathkumar, and Narayanan, Vinodh
- Published
- 2018
- Full Text
- View/download PDF
49. Variants in triggering receptor expressed on myeloid cells 2 are associated with both behavioral variant frontotemporal lobar degeneration and Alzheimer's disease
- Author
-
Giraldo, Margarita, Lopera, Francisco, Siniard, Ashley L, Corneveaux, Jason J, Schrauwen, Isabelle, Carvajal, Julian, Muñoz, Claudia, Ramirez-Restrepo, Manuel, Gaiteri, Chris, Myers, Amanda J, Caselli, Richard J, Kosik, Kenneth S, Reiman, Eric M, and Huentelman, Matthew J
- Subjects
Dementia ,Brain Disorders ,Neurosciences ,Genetics ,Clinical Research ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Alzheimer's Disease ,Acquired Cognitive Impairment ,Aging ,Neurodegenerative ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Alzheimer Disease ,Behavior ,Cohort Studies ,Frontotemporal Lobar Degeneration ,Humans ,Membrane Glycoproteins ,Mutation ,Receptors ,Immunologic ,Risk Factors ,TREM2 ,Alzheimer's disease ,FTLD ,neurodegeneration ,Clinical Sciences ,Neurology & Neurosurgery - Abstract
Recent evidence suggests that rare genetic variants within the TREM2 gene are associated with increased risk of Alzheimer's disease. TREM2 mutations are the genetic basis for a condition characterized by polycystic lipomembranous osteodysplasia with sclerosing leukoencephalopathy (PLOSL) and an early-onset dementia syndrome. TREM2 is important in the phagocytosis of apoptotic neuronal cells by microglia in the brain. Loss of function might lead to an impaired clearance and to accumulation of necrotic debris and subsequent neurodegeneration. In this study, we investigated a consanguineous family segregating autosomal recessive behavioral variant FTLD from Antioquia, Colombia. Exome sequencing identified a nonsense mutation in TREM2 (p.Trp198X) segregating with disease. Next, using a cohort of clinically characterized and neuropathologically verified sporadic AD cases and controls, we report replication of the AD risk association at rs75932628 within TREM2 and demonstrate that TREM2 is significantly overexpressed in the brain tissue from AD cases. These data suggest that a mutational burden in TREM2 may serve as a risk factor for neurodegenerative disease in general, and that potentially this class of TREM2 variant carriers with dementia should be considered as having a molecularly distinct form of neurodegenerative disease.
- Published
- 2013
50. Genetic architecture of subcortical brain structures in 38,851 individuals
- Author
-
Satizabal, Claudia L., Adams, Hieab H. H., Hibar, Derrek P., White, Charles C., Knol, Maria J., Stein, Jason L., Scholz, Markus, Sargurupremraj, Muralidharan, Jahanshad, Neda, Roshchupkin, Gennady V., Smith, Albert V., Bis, Joshua C., Jian, Xueqiu, Luciano, Michelle, Hofer, Edith, Teumer, Alexander, van der Lee, Sven J., Yang, Jingyun, Yanek, Lisa R., Lee, Tom V., Li, Shuo, Hu, Yanhui, Koh, Jia Yu, Eicher, John D., Desrivières, Sylvane, Arias-Vasquez, Alejandro, Chauhan, Ganesh, Athanasiu, Lavinia, Rentería, Miguel E., Kim, Sungeun, Hoehn, David, Armstrong, Nicola J., Chen, Qiang, Holmes, Avram J., den Braber, Anouk, Kloszewska, Iwona, Andersson, Micael, Espeseth, Thomas, Grimm, Oliver, Abramovic, Lucija, Alhusaini, Saud, Milaneschi, Yuri, Papmeyer, Martina, Axelsson, Tomas, Ehrlich, Stefan, Roiz-Santiañez, Roberto, Kraemer, Bernd, Håberg, Asta K., Jones, Hannah J., Pike, G. Bruce, Stein, Dan J., Stevens, Allison, Bralten, Janita, Vernooij, Meike W., Harris, Tamara B., Filippi, Irina, Witte, A. Veronica, Guadalupe, Tulio, Wittfeld, Katharina, Mosley, Thomas H., Becker, James T., Doan, Nhat Trung, Hagenaars, Saskia P., Saba, Yasaman, Cuellar-Partida, Gabriel, Amin, Najaf, Hilal, Saima, Nho, Kwangsik, Mirza-Schreiber, Nazanin, Arfanakis, Konstantinos, Becker, Diane M., Ames, David, Goldman, Aaron L., Lee, Phil H., Boomsma, Dorret I., Lovestone, Simon, Giddaluru, Sudheer, Le Hellard, Stephanie, Mattheisen, Manuel, Bohlken, Marc M., Kasperaviciute, Dalia, Schmaal, Lianne, Lawrie, Stephen M., Agartz, Ingrid, Walton, Esther, Tordesillas-Gutierrez, Diana, Davies, Gareth E., Shin, Jean, Ipser, Jonathan C., Vinke, Louis N., Hoogman, Martine, Jia, Tianye, Burkhardt, Ralph, Klein, Marieke, Crivello, Fabrice, Janowitz, Deborah, Carmichael, Owen, Haukvik, Unn K., Aribisala, Benjamin S., Schmidt, Helena, Strike, Lachlan T., Cheng, Ching-Yu, Risacher, Shannon L., Pütz, Benno, Fleischman, Debra A., Assareh, Amelia A., Mattay, Venkata S., Buckner, Randy L., Mecocci, Patrizia, Dale, Anders M., Cichon, Sven, Boks, Marco P., Matarin, Mar, Penninx, Brenda W. J. H., Calhoun, Vince D., Chakravarty, M. Mallar, Marquand, Andre F., Macare, Christine, Kharabian Masouleh, Shahrzad, Oosterlaan, Jaap, Amouyel, Philippe, Hegenscheid, Katrin, Rotter, Jerome I., Schork, Andrew J., Liewald, David C. M., de Zubicaray, Greig I., Wong, Tien Yin, Shen, Li, Sämann, Philipp G., Brodaty, Henry, Roffman, Joshua L., de Geus, Eco J. C., Tsolaki, Magda, Erk, Susanne, van Eijk, Kristel R., Cavalleri, Gianpiero L., van der Wee, Nic J. A., McIntosh, Andrew M., Gollub, Randy L., Bulayeva, Kazima B., Bernard, Manon, Richards, Jennifer S., Himali, Jayandra J., Loeffler, Markus, Rommelse, Nanda, Hoffmann, Wolfgang, Westlye, Lars T., Valdés Hernández, Maria C., Hansell, Narelle K., van Erp, Theo G. M., Wolf, Christiane, Kwok, John B. J., Vellas, Bruno, Heinz, Andreas, Olde Loohuis, Loes M., Delanty, Norman, Ho, Beng-Choon, Ching, Christopher R. K., Shumskaya, Elena, Singh, Baljeet, Hofman, Albert, van der Meer, Dennis, Homuth, Georg, Psaty, Bruce M., Bastin, Mark E., Montgomery, Grant W., Foroud, Tatiana M., Reppermund, Simone, Hottenga, Jouke-Jan, Simmons, Andrew, Meyer-Lindenberg, Andreas, Cahn, Wiepke, Whelan, Christopher D., van Donkelaar, Marjolein M. J., Yang, Qiong, Hosten, Norbert, Green, Robert C, Thalamuthu, Anbupalam, Mohnke, Sebastian, Hulshoff Pol, Hilleke E., Lin, Honghuang, Jack, Jr, Clifford R., Schofield, Peter R., Mühleisen, Thomas W., Maillard, Pauline, Potkin, Steven G., Wen, Wei, Fletcher, Evan, Toga, Arthur W., Gruber, Oliver, Huentelman, Matthew, Davey Smith, George, Launer, Lenore J., Nyberg, Lars, Jönsson, Erik G., Crespo-Facorro, Benedicto, Koen, Nastassja, Greve, Douglas N., Uitterlinden, André G., Weinberger, Daniel R., Steen, Vidar M., Fedko, Iryna O., Groenewold, Nynke A., Niessen, Wiro J., Toro, Roberto, Tzourio, Christophe, Longstreth, Jr, William T., Ikram, M. Kamran, Smoller, Jordan W., van Tol, Marie-Jose, Sussmann, Jessika E., Paus, Tomas, Lemaître, Hervé, Schroeter, Matthias L., Mazoyer, Bernard, Andreassen, Ole A., Holsboer, Florian, Depondt, Chantal, Veltman, Dick J., Turner, Jessica A., Pausova, Zdenka, Schumann, Gunter, van Rooij, Daan, Djurovic, Srdjan, Deary, Ian J., McMahon, Katie L., Müller-Myhsok, Bertram, Brouwer, Rachel M., Soininen, Hilkka, Pandolfo, Massimo, Wassink, Thomas H., Cheung, Joshua W., Wolfers, Thomas, Martinot, Jean-Luc, Zwiers, Marcel P., Nauck, Matthias, Melle, Ingrid, Martin, Nicholas G., Kanai, Ryota, Westman, Eric, Kahn, René S., Sisodiya, Sanjay M., White, Tonya, Saremi, Arvin, van Bokhoven, Hans, Brunner, Han G., Völzke, Henry, Wright, Margaret J., van ‘t Ent, Dennis, Nöthen, Markus M., Ophoff, Roel A., Buitelaar, Jan K., Fernández, Guillén, Sachdev, Perminder S., Rietschel, Marcella, van Haren, Neeltje E. M., Fisher, Simon E., Beiser, Alexa S., Francks, Clyde, Saykin, Andrew J., Mather, Karen A., Romanczuk-Seiferth, Nina, Hartman, Catharina A., DeStefano, Anita L., Heslenfeld, Dirk J., Weiner, Michael W., Walter, Henrik, Hoekstra, Pieter J., Nyquist, Paul A., Franke, Barbara, Bennett, David A., Grabe, Hans J., Johnson, Andrew D., Chen, Christopher, van Duijn, Cornelia M., Lopez, Oscar L., Fornage, Myriam, Wardlaw, Joanna M., Schmidt, Reinhold, DeCarli, Charles, De Jager, Philip L., Villringer, Arno, Debette, Stéphanie, Gudnason, Vilmundur, Medland, Sarah E., Shulman, Joshua M., Thompson, Paul M., Seshadri, Sudha, and Ikram, M. Arfan
- Published
- 2019
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.