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1. GWAS for executive function and processing speed suggests involvement of the CADM2 gene

Author

Ibrahim-Verbaas, CA, Bressler, J, Debette, S, Schuur, M, Smith, AV, Bis, JC, Davies, G, Trompet, S, Smith, JA, Wolf, C, Chibnik, LB, Liu, Y, Vitart, V, Kirin, M, Petrovic, K, Polasek, O, Zgaga, L, Fawns-Ritchie, C, Hoffmann, P, Karjalainen, J, Lahti, J, Llewellyn, DJ, Schmidt, CO, Mather, KA, Chouraki, V, Sun, Q, Resnick, SM, Rose, LM, Oldmeadow, C, Stewart, M, Smith, BH, Gudnason, V, Yang, Q, Mirza, SS, Jukema, JW, deJager, PL, Harris, TB, Liewald, DC, Amin, N, Coker, LH, Stegle, O, Lopez, OL, Schmidt, R, Teumer, A, Ford, I, Karbalai, N, Becker, JT, Jonsdottir, MK, Au, R, Fehrmann, RSN, Herms, S, Nalls, M, Zhao, W, Turner, ST, Yaffe, K, Lohman, K, van Swieten, JC, Kardia, SLR, Knopman, DS, Meeks, WM, Heiss, G, Holliday, EG, Schofield, PW, Tanaka, T, Stott, DJ, Wang, J, Ridker, P, Gow, AJ, Pattie, A, Starr, JM, Hocking, LJ, Armstrong, NJ, McLachlan, S, Shulman, JM, Pilling, LC, Eiriksdottir, G, Scott, RJ, Kochan, NA, Palotie, A, Hsieh, Y-C, Eriksson, JG, Penman, A, Gottesman, RF, Oostra, BA, Yu, L, DeStefano, AL, Beiser, A, Garcia, M, Rotter, JI, Nöthen, MM, Hofman, A, Slagboom, PE, Westendorp, RGJ, Buckley, BM, Wolf, PA, Uitterlinden, AG, Psaty, BM, Grabe, HJ, Bandinelli, S, and Chasman, DI

Subjects
Biological Psychology, Clinical and Health Psychology, Psychology, Human Genome, Neurosciences, Genetics, Clinical Research, Aging, Aetiology, 2.1 Biological and endogenous factors, Aged, Aged, 80 and over, Cell Adhesion Molecules, Cognition, Cohort Studies, Executive Function, Female, Genetic Association Studies, Genetic Variation, Genome-Wide Association Study, Genomics, Humans, Introns, Male, Middle Aged, Neuropsychological Tests, Polymorphism, Single Nucleotide, White People, gamma-Aminobutyric Acid, Generation Scotland, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

To identify common variants contributing to normal variation in two specific domains of cognitive functioning, we conducted a genome-wide association study (GWAS) of executive functioning and information processing speed in non-demented older adults from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) consortium. Neuropsychological testing was available for 5429-32,070 subjects of European ancestry aged 45 years or older, free of dementia and clinical stroke at the time of cognitive testing from 20 cohorts in the discovery phase. We analyzed performance on the Trail Making Test parts A and B, the Letter Digit Substitution Test (LDST), the Digit Symbol Substitution Task (DSST), semantic and phonemic fluency tests, and the Stroop Color and Word Test. Replication was sought in 1311-21860 subjects from 20 independent cohorts. A significant association was observed in the discovery cohorts for the single-nucleotide polymorphism (SNP) rs17518584 (discovery P-value=3.12 × 10(-8)) and in the joint discovery and replication meta-analysis (P-value=3.28 × 10(-9) after adjustment for age, gender and education) in an intron of the gene cell adhesion molecule 2 (CADM2) for performance on the LDST/DSST. Rs17518584 is located about 170 kb upstream of the transcription start site of the major transcript for the CADM2 gene, but is within an intron of a variant transcript that includes an alternative first exon. The variant is associated with expression of CADM2 in the cingulate cortex (P-value=4 × 10(-4)). The protein encoded by CADM2 is involved in glutamate signaling (P-value=7.22 × 10(-15)), gamma-aminobutyric acid (GABA) transport (P-value=1.36 × 10(-11)) and neuron cell-cell adhesion (P-value=1.48 × 10(-13)). Our findings suggest that genetic variation in the CADM2 gene is associated with individual differences in information processing speed.

Published
2016

2. Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53949).

Author

Davies, G, Armstrong, N, Bis, JC, Bressler, J, Chouraki, V, Giddaluru, S, Hofer, E, Ibrahim-Verbaas, CA, Kirin, M, Lahti, J, van der Lee, SJ, Le Hellard, S, Liu, T, Marioni, RE, Oldmeadow, C, Postmus, I, Smith, AV, Smith, JA, Thalamuthu, A, Thomson, R, Vitart, V, Wang, J, Yu, L, Zgaga, L, Zhao, W, Boxall, R, Harris, SE, Hill, WD, Liewald, DC, Luciano, M, Adams, H, Ames, D, Amin, N, Amouyel, P, Assareh, AA, Au, R, Becker, JT, Beiser, A, Berr, C, Bertram, L, Boerwinkle, E, Buckley, BM, Campbell, H, Corley, J, De Jager, PL, Dufouil, C, Eriksson, JG, Espeseth, T, Faul, JD, Ford, I, Generation Scotland, Gottesman, RF, Griswold, ME, Gudnason, V, Harris, TB, Heiss, G, Hofman, A, Holliday, EG, Huffman, J, Kardia, SLR, Kochan, N, Knopman, DS, Kwok, JB, Lambert, J-C, Lee, T, Li, G, Li, S-C, Loitfelder, M, Lopez, OL, Lundervold, AJ, Lundqvist, A, Mather, KA, Mirza, SS, Nyberg, L, Oostra, BA, Palotie, A, Papenberg, G, Pattie, A, Petrovic, K, Polasek, O, Psaty, BM, Redmond, P, Reppermund, S, Rotter, JI, Schmidt, H, Schuur, M, Schofield, PW, Scott, RJ, Steen, VM, Stott, DJ, van Swieten, JC, Taylor, KD, Trollor, J, Trompet, S, Uitterlinden, AG, Weinstein, G, Widen, E, Windham, BG, Jukema, JW, and Wright, AF

Subjects
Generation Scotland, Humans, Genetic Predisposition to Disease, HMGN1 Protein, Cohort Studies, Cognition, Cognition Disorders, Neuropsychological Tests, Phenotype, Polymorphism, Single Nucleotide, Aged, Aged, 80 and over, Middle Aged, Scotland, Female, Male, Atherosclerosis, Genome-Wide Association Study, and over, Polymorphism, Single Nucleotide, Psychiatry, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences
Abstract

General cognitive function is substantially heritable across the human life course from adolescence to old age. We investigated the genetic contribution to variation in this important, health- and well-being-related trait in middle-aged and older adults. We conducted a meta-analysis of genome-wide association studies of 31 cohorts (N=53,949) in which the participants had undertaken multiple, diverse cognitive tests. A general cognitive function phenotype was tested for, and created in each cohort by principal component analysis. We report 13 genome-wide significant single-nucleotide polymorphism (SNP) associations in three genomic regions, 6q16.1, 14q12 and 19q13.32 (best SNP and closest gene, respectively: rs10457441, P=3.93 × 10(-9), MIR2113; rs17522122, P=2.55 × 10(-8), AKAP6; rs10119, P=5.67 × 10(-9), APOE/TOMM40). We report one gene-based significant association with the HMGN1 gene located on chromosome 21 (P=1 × 10(-6)). These genes have previously been associated with neuropsychiatric phenotypes. Meta-analysis results are consistent with a polygenic model of inheritance. To estimate SNP-based heritability, the genome-wide complex trait analysis procedure was applied to two large cohorts, the Atherosclerosis Risk in Communities Study (N=6617) and the Health and Retirement Study (N=5976). The proportion of phenotypic variation accounted for by all genotyped common SNPs was 29% (s.e.=5%) and 28% (s.e.=7%), respectively. Using polygenic prediction analysis, ~1.2% of the variance in general cognitive function was predicted in the Generation Scotland cohort (N=5487; P=1.5 × 10(-17)). In hypothesis-driven tests, there was significant association between general cognitive function and four genes previously associated with Alzheimer's disease: TOMM40, APOE, ABCG1 and MEF2C.

Published
2015

3. The longitudinal and interactive effects of HIV status, stimulant use, and host genotype upon neurocognitive functioning

Author

Levine, AJ, Reynolds, S, Cox, C, Miller, EN, Sinsheimer, JS, Becker, JT, Martin, E, and Sacktor, N

Subjects
Clinical Sciences, Medical Microbiology, Neurosciences, Virology
Abstract

Both human immunodeficiency virus (HIV)-1 infection and illicit stimulant use can adversely impact neurocognitive functioning, and these effects can be additive. However, significant variability exists such that as-of-yet unidentified exogenous and endogenous factors affect one's risk for neurocognitive impairment. Literature on both HIV and stimulant use indicates that host genetic variants in immunologic and dopamine-related genes are one such factor. In this study, the individual and interactive effects of HIV status, stimulant use, and genotype upon neurocognitive functioning were examined longitudinally over a 10-year period. Nine hundred fifty-two Caucasian HIV+ and HIV- cases from the Multicenter AIDS Cohort Study were included. All cases had at least two comprehensive neurocognitive evaluations between 1985 and 1995. Pre-highly active antiretroviral therapy (HAART) data were examined in order to avoid the confounding effect of variable drug regimens. Linear mixed models were used, with neurocognitive domain scores as the outcome variables. No four-way interactions were found, indicating that HIVand stimulant use do not interact over time to affect neurocognitive functioning as a function of genotype. Multiple three-way interactions were found that involved genotype and HIV status. All immunologically related genes found to interact with HIV status affected neurocognitive functioning in the expected direction; however, only C-C chemokine ligand 2 (CCL2) and CCL3 affected HIV+ individuals specifically. Dopamine-related genetic variants generally affected HIV-negative individuals only. Neurocognitive functioning among HIV+ individuals who also used stimulants was not significantly different from those who did not use stimulants. The findings support the role of immunologically related genetic differences in CCL2 and CCL3 in neurocognitive functioning among HIV+ individuals; however, their impact is minor. Being consistent with findings from another cohort, dopamine (DA)-related genetic differences do not appear to impact the longitudinal neurocognitive functioning of HIV+ individuals. © Journal of NeuroVirology, Inc. 2014.

Published
2014

4. Neuropsychological characteristics of mild cognitive impairment subgroups

Author

Lopez, OL, Becker, JT, Jagust, WJ, Fitzpatrick, A, Carlson, MC, DeKosky, ST, Breitner, J, Lyketsos, CG, Jones, B, Kawas, C, and Kuller, LH

Subjects
Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Behavioral and Social Science, Aging, Neurodegenerative, Dementia, Alzheimer's Disease, Clinical Research, Mental Health, Rehabilitation, Brain Disorders, Acquired Cognitive Impairment, Neurosciences, Aetiology, 2.1 Biological and endogenous factors, 2.3 Psychological, social and economic factors, Mental health, Neurological, Aged, Aged, 80 and over, Alzheimer Disease, Amnesia, Cognition Disorders, Female, Humans, Male, Neuropsychological Tests, Psychometrics, Reference Values, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery
Abstract

ObjectiveTo describe the neuropsychological characteristics of mild cognitive impairment (MCI) subgroups identified in the Cardiovascular Health Study (CHS) cognition study.MethodsMCI was classified as MCI-amnestic type (MCI-AT): patients with documented memory deficits but otherwise normal cognitive function; and MCI-multiple cognitive deficits type (MCI-MCDT): impairment of at least one cognitive domain (not including memory), or one abnormal test in at least two other domains, but who had not crossed the dementia threshold. The MCI subjects did not have systemic, neurological, or psychiatric disorders likely to affect cognition.ResultsMCI-AT (n = 10) had worse verbal and non-verbal memory performance than MCI-MCDT (n = 28) or normal controls (n = 374). By contrast, MCI-MCDT had worse language, psychomotor speed, fine motor control, and visuoconstructional function than MCI-AT or normal controls. MCI-MCDT subjects had memory deficits, though they were less pronounced than in MCI-AT. Of the MCI-MCDT cases, 22 (78.5%) had memory deficits, and 6 (21.5%) did not. MCI-MCDT with memory disorders had more language deficits than MCI-MCDT without memory disorders. By contrast, MCI-MCDT without memory deficits had more fine motor control deficits than MCI-MCDT with memory deficits.ConclusionsThe most frequent form of MCI was the MCI-MCDT with memory deficits. However, the identification of memory impaired MCI groups did not reflect the true prevalence of MCI in a population, as 16% of all MCI cases and 21.5% of the MCI-MCDT cases did not have memory impairment. Study of idiopathic amnestic and non-amnestic forms of MCI is essential for an understanding of the aetiology of MCI.

Published
2006

5. Classification of vascular dementia in the Cardiovascular Health Study Cognition Study

Author

Lopez, OL, Kuller, LH, Becker, JT, Jagust, WJ, DeKosky, ST, Fitzpatrick, A, Breitner, J, Lyketsos, C, Kawas, C, and Carlson, M

Subjects
Neurodegenerative, Cardiovascular, Brain Disorders, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Aging, Dementia, Alzheimer's Disease, Neurosciences, Acquired Cognitive Impairment, 2.1 Biological and endogenous factors, Aetiology, Neurological, Good Health and Well Being, Aged, Aged, 80 and over, Alzheimer Disease, Brain, Cerebral Arteries, Cohort Studies, Dementia, Vascular, Diagnosis, Differential, Disease Progression, Female, Humans, Magnetic Resonance Imaging, Male, Predictive Value of Tests, Stroke, United States, Clinical Sciences, Cognitive Sciences, Neurology & Neurosurgery
Abstract

ObjectiveTo describe the diagnostic classification of subjects with incident vascular dementia (VaD) participating in the Cardiovascular Health Study (CHS) Cognition Study.MethodsThe CHS classified 480 incident cases between 1994 and 1999 among 3,608 CHS participants who had brain MRI in 1992 through 1994 and in 1997 through 1998. The patients were diagnosed before and after reviewing the brain MRI.ResultsThe pre-MRI classification showed that 52 participants had VaD and 76 had both Alzheimer disease (AD) and VaD. The post-MRI classification showed that the Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV) criteria classified 61 subjects as having VaD, the National Institute of Neurological Disorders and Stroke-Association Internationale pour la Recherche et l'Enseignement en Neurosciences (NINDS-AIREN) criteria classified 43 subjects as having probable VaD and 10 as possible VaD, and the State of California Alzheimer's Disease Diagnostic and Treatment Center (ADDTC) criteria classified 117 as having probable VaD and 96 as possible. The combination of the ADDTC and National Institute of Neurological and Communication Disorders and Stroke-Alzheimer's Disease and Related Disorders Association criteria was used to examine the spectrum of vascular disease in dementia. The dementia was attributable to only vascular factors in 56 cases (probable VaD); VaD coexisted with AD in 61 cases, although the VaD component was the leading cause of dementia (probable VaD with AD); AD was the leading cause of dementia in 61 cases (possible VaD and probable AD); and in 29 cases, it was not clear that either AD or VaD was the primary diagnosis (possible AD and possible VaD).ConclusionsNone of the clinical criteria for VaD identified the same group of subjects. The diagnosis of vascular dementia is difficult in epidemiologic studies because poststroke dementia can be due to Alzheimer disease (AD) and evidence of vascular disease can be found in the MRI of dementia cases without clinical strokes. Whether the clinical progression is related to AD pathology or vascular disease is difficult to establish.

Published
2005

6. Determinants of vascular dementia in the Cardiovascular Health Cognition Study

Author

Kuller, LH, Lopez, OL, Jagust, WJ, Becker, JT, DeKosky, ST, Lyketsos, C, Kawas, C, Breitner, JCS, Fitzpatrick, A, and Dulberg, C

Subjects
Biomedical Imaging, Prevention, Neurosciences, Dementia, Stroke, Neurodegenerative, Alzheimer's Disease, Brain Disorders, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Aging, Vascular Cognitive Impairment/Dementia, Cardiovascular, Acquired Cognitive Impairment, 2.1 Biological and endogenous factors, Aetiology, Neurological, Good Health and Well Being, Age Factors, Aged, Aged, 80 and over, Alzheimer Disease, Atrophy, Brain, Cardiovascular Diseases, Cerebral Arteries, Cerebral Infarction, Cohort Studies, Comorbidity, Dementia, Vascular, Female, Humans, Lateral Ventricles, Magnetic Resonance Imaging, Male, Nerve Fibers, Myelinated, Neuropsychological Tests, Racial Groups, Risk Factors, Sex Factors, Clinical Sciences, Cognitive Sciences, Neurology & Neurosurgery
Abstract

ObjectiveThe authors evaluated 3,375 participants without dementia at the time of MRI in 1991 to 1994 over 5.7 years for incident dementia and type of dementia.MethodsIncidence of and risk factors for vascular dementia (VaD) were measured using both pre-MRI and modified State of California Alzheimer's Disease Diagnostic and Treatment Centers (ADDTC) post-MRI review and further classified Alzheimer disease (AD) by the National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer's Disease and Related Disorders Association (NINCDS-ADRDA) criteria.ResultsApproximately 44% (213) of 480 incident dementia cases were classified as possible or probable VaD by ADDTC. The incidence of VaD increased with age and was greater in blacks than whites. Risk factors for VaD included age, Modified Mini-Mental State Examination, high white matter grade, number of MRI infarcts, ventricular size, and history of stroke.ConclusionsVascular disease in the brain is prevalent among incident dementia cases. There is a substantial overlap between cases classified as Alzheimer disease by Neurological and Communicative Disorders and Stroke and the Alzheimer's Disease and Related Disorders Association and vascular dementia (VaD) by modified State of California Alzheimer's Disease Diagnostic and Treatment Centers criteria. The substantial contribution of vascular disease would be missed without inclusion of MRI. Treatment of risk factors for VaD could have an important impact on incidence of dementia.

Published
2005

7. Clinical and MRI factors for vascular dementia in the Cardiovascular Health Study Cognition Study

Author

Kuller, LH, Lopez, OL, Jagust, WJ, Becker, JT, DeKosky, ST, Lyketsos, C, Kawas, C, Breitner, JCS, Fitzpatrick, A, and Dulberg, B

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Alzheimer's Disease, Alzheimer's Disease Related Dementias (ADRD), Cerebrovascular, Vascular Cognitive Impairment/Dementia, Acquired Cognitive Impairment, Biomedical Imaging, Neurodegenerative, Dementia, Aging, Brain Disorders, Cardiovascular, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurological, Good Health and Well Being, Clinical Sciences, Neurology & Neurosurgery, Biological psychology
Published
2004

10. Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults

Author

Hofer, E, Roshchupkin, GV, Adams, HHH, Knol, MJ, Lin, H, Li, S, Zare, H, Ahmad, S, Armstrong, NJ, Satizabal, CL, Bernard, M, Bis, JC, Gillespie, NA, Luciano, M, Mishra, A, Scholz, M, Teumer, A, Xia, R, Jian, X, Mosley, TH, Saba, Y, Pirpamer, L, Seiler, S, Becker, JT, Carmichael, O, Rotter, JI, Psaty, BM, Lopez, OL, Amin, N, van der Lee, SJ, Yang, Q, Himali, JJ, Maillard, P, Beiser, AS, Decarli, C, Karama, S, Lewis, L, Harris, M, Bastin, ME, Deary, IJ, Witte, AV, Beyer, F, Loeffler, M, Mather, KA, Schofield, PR, Thalamuthu, A, Kwok, JB, Wright, MJ, Ames, D, Trollor, J, Jiang, J, Brodaty, H, Wen, W, Vernooij, MW, Hofman, A, Uitterlinden, AG, Niessen, WJ, Wittfeld, K, Bülow, R, Völker, U, Pausova, Z, Pike, GB, Maingault, S, Crivello, F, Tzourio, C, Amouyel, P, Mazoyer, B, Neale, MC, Franz, CE, Lyons, MJ, Panizzon, MS, Andreassen, OA, Dale, AM, Logue, M, Grasby, KL, Jahanshad, N, Painter, JN, Colodro-Conde, L, Bralten, J, Hibar, DP, Lind, PA, Pizzagalli, F, Stein, JL, Thompson, PM, Medland, SE, Sachdev, PS, Kremen, WS, Wardlaw, JM, Villringer, A, van Duijn, CM, Grabe, HJ, Longstreth, WT, Fornage, M, Paus, T, Debette, S, Ikram, MA, Schmidt, H, Schmidt, R, Seshadri, S, Ching, CRK, Hofer, E, Roshchupkin, GV, Adams, HHH, Knol, MJ, Lin, H, Li, S, Zare, H, Ahmad, S, Armstrong, NJ, Satizabal, CL, Bernard, M, Bis, JC, Gillespie, NA, Luciano, M, Mishra, A, Scholz, M, Teumer, A, Xia, R, Jian, X, Mosley, TH, Saba, Y, Pirpamer, L, Seiler, S, Becker, JT, Carmichael, O, Rotter, JI, Psaty, BM, Lopez, OL, Amin, N, van der Lee, SJ, Yang, Q, Himali, JJ, Maillard, P, Beiser, AS, Decarli, C, Karama, S, Lewis, L, Harris, M, Bastin, ME, Deary, IJ, Witte, AV, Beyer, F, Loeffler, M, Mather, KA, Schofield, PR, Thalamuthu, A, Kwok, JB, Wright, MJ, Ames, D, Trollor, J, Jiang, J, Brodaty, H, Wen, W, Vernooij, MW, Hofman, A, Uitterlinden, AG, Niessen, WJ, Wittfeld, K, Bülow, R, Völker, U, Pausova, Z, Pike, GB, Maingault, S, Crivello, F, Tzourio, C, Amouyel, P, Mazoyer, B, Neale, MC, Franz, CE, Lyons, MJ, Panizzon, MS, Andreassen, OA, Dale, AM, Logue, M, Grasby, KL, Jahanshad, N, Painter, JN, Colodro-Conde, L, Bralten, J, Hibar, DP, Lind, PA, Pizzagalli, F, Stein, JL, Thompson, PM, Medland, SE, Sachdev, PS, Kremen, WS, Wardlaw, JM, Villringer, A, van Duijn, CM, Grabe, HJ, Longstreth, WT, Fornage, M, Paus, T, Debette, S, Ikram, MA, Schmidt, H, Schmidt, R, Seshadri, S, and Ching, CRK

Abstract

Cortical thickness, surface area and volumes vary with age and cognitive function, and in neurological and psychiatric diseases. Here we report heritability, genetic correlations and genome-wide associations of these cortical measures across the whole cortex, and in 34 anatomically predefined regions. Our discovery sample comprises 22,824 individuals from 20 cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank. We identify genetic heterogeneity between cortical measures and brain regions, and 160 genome-wide significant associations pointing to wnt/β-catenin, TGF-β and sonic hedgehog pathways. There is enrichment for genes involved in anthropometric traits, hindbrain development, vascular and neurodegenerative disease and psychiatric conditions. These data are a rich resource for studies of the biological mechanisms behind cortical development and aging.

Published
2020

12. Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates A beta, tau, immunity and lipid processing (vol 51, pg 414, 2019)

Author

Kunkle, BW, Grenier-Boley, B, Sims, R, Bis, JC, Damotte, V, Naj, AC, Boland, A, Vronskaya, M, van der Lee, SJ, Amlie-Wolf, A, Bellenguez, C, Frizatti, A, Chouraki, V, Martin, ER, Sleegers, K, Badarinarayan, N, Jakobsdottir, J, Hamilton-Nelson, KL, Moreno-Grau, S, Olaso, R, Raybould, R, Chen, YN, Kuzma, AB, Hiltunen, M, Morgan, T, Ahmad, S, Vardarajan, BN, Epelbaum, J, Hoffmann, P, Boada, M, Beecham, GW, Garnier, JG, Harold, D, Fitzpatrick, AL, Valladares, O, Moutet, ML, Gerrish, A, Smith, AV, Qu, LM, Bacq, D, Denning, N, Jian, XQ, Zhao, Y, Del Zompo, M, Fox, NC, Choi, SH, Mateo, I, Hughes, JT, Adams, HH, Malamon, J, Sanchez-Garcia, F, Patel, Y, Brody, JA, Dombroski, BA, Naranjo, MCD, Daniilidou, M, Eiriksdottir, G, Mukherjee, S, Wallon, D, Uphill, J, Aspelund, T, Cantwell, LB, Garzia, F, Galimberti, D, Hofer, E, Butkiewicz, M, Fin, B, Scarpini, E, Sarnowski, C, Bush, WS, Meslage, S, Kornhuber, J, White, CC, Song, Y, Barber, RC, Engelborghs, S, Sordon, S, Voijnovic, D, Adams, PM, Vandenberghe, R, Mayhaus, M, Cupples, LA, Albert, MS, De Deyn, PP, Gu, W, Himali, JJ, Beekly, D, Squassina, A, Hartmann, AM, Orellana, A, Blacker, D, Rodriguez-Rodriguez, E, Lovestone, S, Garcia, ME, Doody, RS, Munoz-Fernadez, C, Sussams, R, Lin, HH, Fairchild, TJ, Benito, YA, Holmes, C, Karamujic-Comic, H, Frosch, MP, Thonberg, H, Maier, W, Roshchupkin, G, Ghetti, B, Giedraitis, V, Kawalia, A, Li, S, Huebinger, RM, Kilander, L, Moebus, S, Hernandez, I, Kamboh, MI, Brundin, R, Turton, J, Yang, Q, Katz, MJ, Concari, L, Lord, J, Beiser, AS, Keene, CD, Helisalmi, S, Kloszewska, I, Kukull, WA, Koivisto, AM, Lynch, A, Tarraga, L, Larson, EB, Haapasalo, A, Lawlor, B, Mosley, TH, Lipton, RB, Solfrizzi, V, Gill, M, Longstreth, WT, Montine, TJ, Frisardi, V, Diez-Fairen, M, Rivadeneira, F, Petersen, RC, Deramecourt, V, Alvarez, I, Salani, F, Ciaramella, A, Boerwinkle, E, Reiman, EM, Fievet, N, Rotter, JI, Reisch, JS, Hanon, O, Cupidi, C, Uitterlinden, AGA, Royall, DR, Dufouil, C, Maletta, RG, de Rojas, I, Sano, M, Brice, A, Cecchetti, R, St George-Hyslop, P, Ritchie, K, Tsolaki, M, Tsuang, DW, Dubois, B, Craig, D, Wu, CK, Soininen, H, Avramidou, D, Albin, RL, Fratiglioni, L, Germanou, A, Apostolova, LG, Keller, L, Koutroumani, M, Arnold, SE, Panza, F, Gkatzima, O, Asthana, S, Hannequin, D, Whitehead, P, Atwood, CS, Caffarra, P, Hampel, H, Quintela, I, Carracedo, A, Lannfelt, L, Rubinsztein, DC, Barnes, LL, Pasquier, F, Frolich, L, Barral, S, McGuinness, B, Beach, TG, Johnston, JA, Becker, JT, Passmore, P, Bigio, EH, Schott, JM, Bird, TD, Warren, JD, Boeve, BF, Lupton, MK, Bowen, JD, Proitsi, P, Boxer, A, Powell, JF, Burke, JR, Kauwe, JSK, Burns, JM, Mancuso, M, Buxbaum, JD, Bonuccelli, U, Cairns, NJ, McQuillin, A, Cao, CH, Livingston, G, Carlson, CS, Bass, NJ, Carlsson, CM, Hardy, J, Carney, RM, Bras, J, Carrasquillo, MM, Guerreiro, R, Allen, M, Chui, HC, Fisher, E, Masullo, C, Crocco, EA, DeCarli, C, Bisceglio, G, Dick, M, Ma, L, Duara, R, Graff-Radford, NR, Evans, DA, Hodges, A, Faber, KM, Scherer, M, Fallon, KB, Riemenschneider, M, Fardo, DW, Heun, R, Farlow, MR, Kolsch, H, Ferris, S, Leber, M, Foroud, TM, Heuser, I, Galasko, DR, Giegling, I, Gearing, M, Hull, M, Geschwind, DH, Gilbert, JR, Morris, J, Green, RC, Mayo, K, Growdon, JH, Feulner, T, Hamilton, RL, Harrell, LE, Drichel, D, Honig, LS, Cushion, TD, Huentelman, MJ, Hollingworth, P, Hulette, CM, Hyman, BT, Marshall, R, Jarvik, GP, Meggy, A, Abner, E, Menzies, GE, Jin, LW, Leonenko, G, Real, LM, Jun, GR, Baldwin, CT, Grozeva, D, Karydas, A, Russo, G, Kaye, JA, Kim, R, Jessen, F, Kowall, NW, Vellas, B, Kramer, JH, Vardy, E, LaFerla, FM, Jockel, KH, Lah, JJ, Dichgans, M, Leverenz, JB, Mann, D, Levey, AI, Pickering-Brown, S, Lieberman, AP, Klopp, N, Lunetta, KL, Wichmann, HE, Lyketsos, CG, Morgan, K, Marson, DC, Brown, K, Martiniuk, F, Medway, C, Mash, DC, Nothen, MM, Masliah, E, Hooper, NM, McCormick, WC, Daniele, A, McCurry, SM, Bayer, A, McDavid, AN, Gallacher, J, Mckee, AC, van den Bussche, H, Mesulam, M, Brayne, C, Miller, BL, Riedel-Heller, S, Miller, CA, Miller, JW, Al-Chalabi, A, Morris, JC, Shaw, CE, Myers, AJ, Wiltfang, J, O'Bryant, S, Olichney, JM, Alvarez, V, Parisi, JE, Singleton, AB, Paulson, HL, Collinge, J, Perry, WR, Mead, S, Peskind, E, Cribbs, DH, Rossor, M, Pierce, A, Ryan, NS, Poon, WW, Nacmias, B, Potter, H, Sorbi, S, Quinn, JF, Sacchinelli, E, Raj, A, Spalletta, G, Raskind, M, Caltagirone, C, Bossu, P, Orfei, MD, Reisberg, B, Clarke, R, Reitz, C, Smith, AD, Ringman, JM, Warden, D, Roberson, ED, Wilcock, G, Rogaeva, E, Bruni, AC, Rosen, HJ, Gallo, M, Rosenberg, RN, Ben-Shlomo, Y, Sager, MA, Mecocci, P, Saykin, AJ, Pastor, P, Cuccaro, ML, Vance, JM, Schneider, JA, Schneider, LS, Slifer, S, Seeley, WW, Smith, AG, Sonnen, JA, Spina, S, Stern, RA, Swerdlow, RH, Tang, M, Tanzi, RE, Trojanowski, JQ, Troncoso, JC, Van Deerlin, VM, Van Eldik, LJ, Vinters, HV, Vonsattel, JP, Weintraub, S, Welsh-Bohmer, KA, Wilhelmsen, KC, Williamson, J, Wingo, TS, Woltjer, RL, Wright, CB, Yu, CE, Yu, L, Saba, Y, Pilotto, A, Bullido, MJ, Peters, O, Crane, PK, Bennett, D, Bosco, P, Coto, E, Boccardi, V, De Jager, PL, Lleo, A, Warner, N, Lopez, OL, Ingelsson, M, Deloukas, P, Cruchaga, C, Graff, C, Gwilliam, R, Fornage, M, Goate, AM, Sanchez-Juan, P, Kehoe, PG, Amin, N, Ertekin-Taner, N, Berr, C, Debette, S, Love, S, Launer, LJ, Younkin, SG, Dartigues, JF, Corcoran, C, Ikram, MA, Dickson, DW, Nicolas, G, Campion, D, Tschanz, J, Schmidt, H, Hakonarson, H, Clarimon, J, Munger, R, Schmidt, R, Farrer, LA, Van Broeckhoven, C, O'Donovan, MC, DeStefano, AL, Jones, L, Haines, JL, Deleuze, JF, Owen, MJ, Gudnason, V, Mayeux, R, Escott-Price, V, Psaty, BM, Ramirez, A, Wang, LS, Ruiz, A, van Duijn, CM, Holmans, PA, Seshadri, S, Williams, J, Amouyel, P, Schellenberg, GD, Lambert, JC, Pericak-Vance, MA, ADGC, EADI, Cohorts Heart Aging Res Genomic, and Genetic Environm Risk AD Defining

Published
2019

13. Meta-analysis of genetic association with diagnosed Alzheimer's disease identifies novel risk loci and implicates Abeta, Tau, immunity and lipid processing

Author

Kunkle, BW, Grenier-Boley, B, Sims, R, Bis, JC, Naj, AC, Boland, A, Vronskaya, M, van der Lee, SJ, Amlie-Wolf, A, Bellenguez, C, Frizatti, A, Chouraki, V, Martin, ER, Sleegers, K, Badarinarayan, N, Jakobsdottir, J, Hamilton-Nelson, KL, Aloso, R, Raybould, R, Chen, Y, Kuzma, AB, Hiltunen, M, Morgan, T, Ahmad, S, Vardarajan, BN, Epelbaum, J, Hoffmann, P, Boada, M, Beecham, GW, Garnier, JG, Harold, D, Fitzpatrick, AL, Valladares, O, Moutet, ML, Gerrish, A, Smith, AV, Qu, L, Bacq, D, Denning, N, Jian, X, Zhao, Y, Zompo, MD, Fox, NC, Grove, ML, Choi, SH, Mateo, I, Hughes, JT, Adams, HH, Malamon, J, Garcia, FS, Patel, Y, Brody, JA, Dombroski, B, Naranjo, MCD, Daniilidou, M, Eiriksdottir, G, Mukherjee, S, Wallon, D, Uphill, J, Aspelund, T, Cantwell, LB, Garzia, F, Galimberti, D, Hofer, E, Butkiewics, M, Fin, B, Scarpini, E, Sarnowski, C, Bush, W, Meslage, S, Kornhuber, J, White, CC, Song, Y, Barber, RC, Engelborghs, S, Pichler, S, Voijnovic, D, Adams, PM, Vandenberghe, R, Mayhaus, M, Cupples, LA, Albert, MS, De Deyn, PP, Gu, W, Himali, JJ, Beekly, D, Squassina, A, Hartmann, AM, Orellana, A, Blacker, D, Rodriguez-Rodriguez, E, Lovestone, S, Garcia, ME, Doody, RS, Fernadez, CM, Sussams, R, Lin, H, Fairchild, TJ, Benito, YA, Holmes, C, Comic, H, Frosch, MP, Thonberg, H, Maier, W, Roschupkin, G, Ghetti, B, Giedraitis, V, Kawalia, A, Li, S, Huebinger, RM, Kilander, L, Moebus, S, Hernández, I, Kamboh, MI, Brundin, R, Turton, J, Yang, Q, Katz, MJ, Concari, L, Lord, J, Beiser, AS, Keene, CD, Helisalmi, S, Kloszewska, I, Kukull, WA, Koivisto, AM, Lynch, A, Tarraga, L, Larson, EB, Haapasalo, A, Lawlor, B, Mosley, TH, Lipton, RB, Solfrizzi, V, Gill, M, Longstreth Jr, WT, Montine, TJ, Frisardi, V, Ortega-Cubero, S, Rivadeneira, F, Petersen, RC, Deramecourt, V, Ciaramella, A, Boerwinkle, E, Reiman, EM, Fievet, N, Caltagirone, C, Rotter, JI, Reisch, JS, Hanon, O, Cupidi, C, Uitterlinden, AG, Royall, DR, Dufouil, C, Maletta, RG, Moreno-Grau, S, Sano, M, Brice, A, Cecchetti, R, St George-Hyslop, P, Ritchie, K, Tsolaki, M, Tsuang, DW, Dubois, B, Craig, D, Wu, CK, Soininen, H, Avramidou, D, Albin, RL, Fratiglioni, L, Germanou, A, Apostolova, LG, Keller, L, Koutroumani, M, Arnold, SE, Panza, F, Gkatzima, O, Asthana, S, Hannequin, D, Whitehead, P, Atwood, CS, Caffarra, P, Hampel, H, Baldwin, CT, Lannfelt, L, Rubinsztein, DC, Barnes, LL, Pasquier, F, Frölich, L, Barral, S, McGuinness, B, Beach, TG, Johnston, JI, Becker, JT, Passmore, P, Bigio, EH, Schott, JM, Bird, TD, Warren, JD, Boeve, BF, Lupton, MK, Bowen, JD, Proitsi, P, Boxer, A, Powell, JF, Burke, JR, Kauwe, JK, Burns, JM, Mancuso, M, Buxbaum, JD, Bonuccelli, U, Cairns, NJ, McQuillin, A, Cao, C, Livingston, G, Carlson, CS, Bass, NJ, Carlsson, CM, Hardy, J, Carney, RM, Bras, J, Carrasquillo, MM, Guerreiro, R, Allen, M, Chui, HC, Fisher, E, Cribbs, DH, Masullo, C, Crocco, EA, DeCarli, C, Bisceglio, G, Dick, M, Ma, L, Duara, R, Graff-Radford, NR, Evans, DA, Hodges, A, Faber, KM, Scherer, M, Fallon, KB, Riemenschneider, M, Fardo, DW, Heun, R, Farlow, MR, Ferris, S, Leber, M, Foroud, TM, Heuser, I, Galasko, DR, Giegling, I, Gearing, M, Hüll, M, Geschwind, DH, Gilbert, JR, Morris, J, Green, RC, Mayo, K, Growdon, JH, Feulner, T, Hamilton, RL, Harrell, LE, Drichel, D, Honig, LS, Cushion, TD, Huentelman, MJ, Hollingworth, P, Hulette, CM, Hyman, BT, Marshall, R, Jarvik, GP, Meggy, A, Abner, E, Menzies, G, Jin, LW, Leonenko, G, Jun, G, Grozeva, D, Karydas, A, Russo, G, Kaye, JA, Kim, R, Jessen, F, Kowall, NW, Vellas, B, Kramer, JH, Vardy, E, LaFerla, FM, Jöckel, KH, Lah, JJ, Dichgans, M, Leverenz, JB, Mann, D, Levey, AI, Pickering-Brown, S, Lieberman, AP, Klopp, N, Lunetta, KL, Wichmann, HE, Lyketsos, CG, Morgan, K, Marson, DC, Brown, K, Martiniuk, F, Medway, C, Mash, DC, Nöthen, MM, Masliah, E, Hooper, NM, McCormick, WC, Daniele, A, McCurry, SM, Bayer, A, McDavid, AN, Gallacher, J, McKee, AC, van den Bussche, H, Mesulam, M, Brayne, C, Miller, BL, Riedel-Heller, S, Miller, CA, Miller, JW, Al-Chalabi, A, Morris, JC, Shaw, CE, Myers, AJ, Wiltfang, J, O’Bryant, S, Coto, E, Olichney, JM, Alvarez, V, Parisi, JE, Singleton, AB, Paulson, HL, Collinge, J, Perry, W, Mead, S, Peskind, E, Rosser, M, Pierce, A, Ryan, N, Poon, WW, Nacmias, B, Potter, H, Sorbi, S, Quinn, JF, Sacchinelli, E, Raj, A, Spalletta, G, Raskind, M, Bossù, P, Reisberg, B, Clarke, R, Reitz, C, Smith, AD, Ringman, JM, Warden, D, Roberson, ED, Wilcock, G, Rogaeva, E, Bruni, AC, Rosen, HJ, Gallo, M, Rosenberg, RN, Ben-Shlomo, Y, Sager, MA, Mecocci, P, Saykin, AJ, Pastor, P, Cuccaro, ML, Vance, JM, Schneider, JA, Schneider, LS, Seeley, WW, Smith, AG, Sonnen, JA, Spina, S, Stern, RA, Swerdlow, RH, Tanzi, RE, Trojanowski, JQ, Troncoso, JC, Van Deerlin, VM, Van Eldik, LJ, Vinters, HV, Vonsattel, JP, Weintraub, S, Welsh-Bohmer, KA, Wilhelmsen, KC, Williamson, J, Wingo, TS, Woltjer, RL, Wright, CB, Yu, CE, Yu, L, Crane, PK, Bennett, DA, Boccardi, V, De Jager, PL, Warner, N, Lopez, OL, McDonough, S, Ingelsson, M, Deloukas, P, Cruchaga, C, Graff, C, Gwilliam, R, Fornage, M, Goate, AM, Sanchez-Juan, P, Kehoe, PG, Amin, N, Ertekin-Taner, N, Berr, C, Debette, S, Love, S, Launer, LJ, Younkin, SG, Dartigues, JF, Corcoran, C, Ikram, MA, Dickson, DW, Campion, D, Tschanz, J, Schmidt, H, Hakonarson, H, Munger, R, Schmidt, R, Farrer, LA, Van Broeckhoven, C, O’Donovan, MC, DeStefano, AL, Jones, L, Haines, JL, Deleuze, JF, Owen, MJ, Gudnason, V, Mayeux, R, Escott-Price, V, Psaty, BM, Ruiz, A, Ramirez, A, Wang, LS, van Duijn, CM, Holmans, PA, Seshadri, S, Williams, J, Amouyel, P, Schellenberg, GD, Lambert, JC, Pericak-Vance, MA, Bis, JC [0000-0002-3409-1110], Garnier, JG [0000-0003-4991-763X], Smith, AV [0000-0001-9088-234X], Denning, N [0000-0001-8467-7382], Vandenberghe, R [0000-0001-6237-2502], Himali, JJ [0000-0003-1391-9481], Rodriguez-Rodriguez, E [0000-0001-7742-677X], Frisardi, V [0000-0003-0764-7387], Ortega-Cubero, S [0000-0003-0520-9439], Hanon, O [0000-0002-4697-122X], Brice, A [0000-0002-0941-3990], Albin, RL [0000-0002-0629-608X], Buxbaum, JD [0000-0001-8898-8313], Bass, NJ [0000-0002-4481-778X], Fisher, E [0000-0003-2850-9936], Bayer, A [0000-0002-7514-248X], Gallacher, J [0000-0002-2394-5299], Brayne, C [0000-0001-5307-663X], Riedel-Heller, S [0000-0003-4321-6090], Al-Chalabi, A [0000-0002-4924-7712], and Apollo - University of Cambridge Repository

Subjects
Aging, 4202 Epidemiology, Genome-wide association study, Disease, Neurodegenerative, Biology, 3101 Biochemistry and Cell Biology, Alzheimer's Disease, 3105 Genetics, 03 medical and health sciences, 0302 clinical medicine, Clinical Research, Acquired Cognitive Impairment, Genetics, medicine, 2.1 Biological and endogenous factors, Dementia, Gene, 030304 developmental biology, Genetic association, 2 Aetiology, 0303 health sciences, Prevention, Human Genome, 42 Health Sciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Lipid metabolism, medicine.disease, Brain Disorders, 3. Good health, Meta-analysis, Neurological, Alzheimer's disease, 030217 neurology & neurosurgery, 31 Biological Sciences
Abstract

IntroductionLate-onset Alzheimer’s disease (LOAD, onset age > 60 years) is the most prevalent dementia in the elderly1, and risk is partially driven by genetics2. Many of the loci responsible for this genetic risk were identified by genome-wide association studies (GWAS)3–8. To identify additional LOAD risk loci, the we performed the largest GWAS to date (89,769 individuals), analyzing both common and rare variants. We confirm 20 previous LOAD risk loci and identify four new genome-wide loci (IQCK, ACE, ADAM10, and ADAMTS1). Pathway analysis of these data implicates the immune system and lipid metabolism, and for the first time tau binding proteins and APP metabolism. These findings show that genetic variants affecting APP and Aβ processing are not only associated with early-onset autosomal dominant AD but also with LOAD. Analysis of AD risk genes and pathways show enrichment for rare variants (P = 1.32 × 10−7) indicating that additional rare variants remain to be identified.

Published
2018
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14. The relationship between diabetes and depressive symptoms in men with or at risk of HIV infection.

Author

Basil, RC, Brown, TT, Haberlen, S, Rubin, LH, Plankey, M, Becker, JT, Lake, JE, Palella, FJ, and Sarkar, S

Subjects
BLOOD sugar, COMPARATIVE studies, CONFIDENCE intervals, MENTAL depression, DIABETES, GLYCOSYLATED hemoglobin, HIV-positive persons, POISSON distribution, PSYCHOLOGICAL tests, SELF-evaluation, COMORBIDITY, HIV seroconversion
Abstract

Objectives: The aim of the study was to compare the prevalence of comorbid diabetes and depressive symptoms in men living with HIV (MLWH) with that in men without HIV infection and to determine associations between glycaemic control and depressive symptoms. Methods: Participants included 920 MLWH and 840 men without HIV infection from the Multicenter AIDS Cohort Study (MACS) with available data regarding glycaemic status [categorized as normal for fasting blood glucose (FBG) < 100 mg/dL, prediabetes for FBG 100–125 mg/dL, and diabetes, defined by self‐report, diabetes medication use or FBG ≥ 126 mg/dL on at least two consecutive visits, with diabetes classified as controlled if Hemoglobin A1c (HbA1C) < 7.5% and uncontrolled if HbA1C ≥ 7.5%]. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression (CES‐D) score, with CES‐D ≥ 16 scores classified as elevated depressive symptoms. A modified Poisson regression model with robust variance was used and adjusted for covariates including HIV serostatus. Results: Compared to men without HIV infection, MLWH had a higher mean CES‐D score, but a similar prevalence of diabetes (11.3% versus 12.8%, respectively; P = 0.33). The concomitant prevalence of diabetes and elevated depressive symptoms did not differ by HIV serostatus (P = 0.215). In an adjusted analysis, men with uncontrolled diabetes had a greater prevalence of depressive symptoms compared to men with normoglycaemia (prevalence ratio = 1.43; 95% confidence interval 1.11, 1.84). The association between glycaemic status and depressive symptoms did not differ by HIV serostatus (P = 0.22 for interaction). Conclusions: Both controlled and uncontrolled diabetes were independently associated with a greater prevalence of depressive symptoms, regardless of HIV serostatus. These results highlight the importance of identifying depression in people with diabetes. [ABSTRACT FROM AUTHOR]

Published
2021
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15. Novel genetic loci associated with hippocampal volume

Author

Hibar, DP, Adams, HHH, Jahanshad, N, Chauhan, G, Stein, JL, Hofer, E, Renteria, ME, Bis, JC, Arias-Vasquez, A, Ikram, MK, Desrivieres, S, Vernooij, MW, Abramovic, L, Alhusaini, S, Amin, N, Andersson, M, Arfanakis, K, Aribisala, BS, Armstrong, NJ, Athanasiu, L, Axelsson, T, Beecham, AH, Beiser, A, Bernard, M, Blanton, SH, Bohlken, MM, Boks, MP, Bralten, J, Brickman, AM, Carmichael, O, Chakravarty, MM, Chen, Q, Ching, CRK, Chouraki, V, Cuellar-Partida, G, Crivello, F, Den Braber, A, Nhat, TD, Ehrlich, S, Giddaluru, S, Goldman, AL, Gottesman, RF, Grimm, O, Griswold, ME, Guadalupe, T, Gutman, BA, Hass, J, Haukvik, UK, Hoehn, D, Holmes, AJ, Hoogman, M, Janowitz, D, Jia, T, Jorgensen, KN, Karbalai, N, Kasperaviciute, D, Kim, S, Klein, M, Kraemer, B, Lee, PH, Liewald, DCM, Lopez, LM, Luciano, M, Macare, C, Marquand, AF, Matarin, M, Mather, KA, Mattheisen, M, McKay, DR, Milaneschi, Y, Maniega, SM, Nho, K, Nugent, AC, Nyquist, P, Loohuis, LMO, Oosterlaan, J, Papmeyer, M, Pirpamer, L, Puetz, B, Ramasamy, A, Richards, JS, Risacher, SL, Roiz-Santianez, R, Rommelse, N, Ropele, S, Rose, EJ, Royle, NA, Rundek, T, Saemann, PG, Saremi, A, Satizabal, CL, Schmaal, L, Schork, AJ, Shen, L, Shin, J, Shumskaya, E, Smith, AV, Sprooten, E, Strike, LT, Teumer, A, Tordesillas-Gutierrez, D, Toro, R, Trabzuni, D, Trompet, S, Vaidya, D, Van der Grond, J, Van der Lee, SJ, Van der Meer, D, Van Donkelaar, MMJ, Van Eijk, KR, Van Erp, TGM, Van Rooij, D, Walton, E, Westlye, LT, Whelan, CD, Windham, BG, Winkler, AM, Wittfeld, K, Woldehawariat, G, Wolf, C, Wolfers, T, Yanek, LR, Yang, J, Zijdenbos, A, Zwiers, MP, Agartz, I, Almasy, L, Ames, D, Amouyel, P, Andreassen, OA, Arepalli, S, Assareh, AA, Barral, S, Bastin, ME, Becker, DM, Becker, JT, Bennett, DA, Blangero, J, van Bokhoven, H, Boomsma, DI, Brodaty, H, Brouwer, RM, Brunner, HG, Buckner, RL, Buitelaar, JK, Bulayeva, KB, Cahn, W, Calhoun, VD, Cannon, DM, Cavalleri, GL, Cheng, C-Y, Cichon, S, Cookson, MR, Corvin, A, Crespo-Facorro, B, Curran, JE, Czisch, M, Dale, AM, Davies, GE, De Craen, AJM, De Geus, EJC, De Jager, PL, De Zubicaray, GI, Deary, IJ, Debette, S, DeCarli, C, Delanty, N, Depondt, C, DeStefano, A, Dillman, A, Djurovic, S, Donohoe, G, Drevets, WC, Duggirala, R, Dyer, TD, Enzinger, C, Erk, S, Espeseth, T, Fedko, IO, Fernandez, G, Ferrucci, L, Fisher, SE, Fleischman, DA, Ford, I, Fornage, M, Foroud, TM, Fox, PT, Francks, C, Fukunaga, M, Gibbs, JR, Glahn, DC, Gollub, RL, Goring, HHH, Green, RC, Gruber, O, Gudnason, V, Guelfi, S, Haberg, AK, Hansell, NK, Hardy, J, Hartman, CA, Hashimoto, R, Hegenscheid, K, Heinz, A, Le Hellard, S, Hernandez, DG, Heslenfeld, DJ, Ho, B-C, Hoekstra, PJ, Hoffmann, W, Hofman, A, Holsboer, F, Homuth, G, Hosten, N, Hottenga, J-J, Huentelman, M, Pol, HEH, Ikeda, M, Jack, CR, Jenkinson, M, Johnson, R, Joensson, EG, Jukema, JW, Kahn, RS, Kanai, R, Kloszewska, I, Knopman, DS, Kochunov, P, Kwok, JB, Lawrie, SM, Lemaitre, H, Liu, X, Longo, DL, Lopez, OL, Lovestone, S, Martinez, O, Martinot, J-L, Mattay, VS, McDonald, C, McIntosh, AM, McMahon, FJ, McMahon, KL, Mecocci, P, Melle, I, Meyer-Lindenberg, A, Mohnke, S, Montgomery, GW, Morris, DW, Mosley, TH, Muhleisen, TW, Mueller-Myhsok, B, Nalls, MA, Nauck, M, Nichols, TE, Niessen, WJ, Nothen, MM, Nyberg, L, Ohi, K, Olvera, RL, Ophoff, RA, Pandolfo, M, Paus, T, Pausova, Z, Penninx, BWJH, Pike, GB, Potkin, SG, Psaty, BM, Reppermund, S, Rietschel, M, Roffman, JL, Romanczuk-Seiferth, N, Rotter, JI, Ryten, M, Sacco, RL, Sachdev, PS, Saykin, AJ, Schmidt, R, Schmidt, H, Schofield, PR, Sigursson, S, Simmons, A, Singleton, A, Sisodiya, SM, Smith, C, Smoller, JW, Soininen, H, Steen, VM, Stott, DJ, Sussmann, JE, Thalamuthu, A, Toga, AW, Traynor, BJ, Troncoso, J, Tsolaki, M, Tzourio, C, Uitterlinden, AG, Hernandez, MCV, Van der Brug, M, van der Lugt, A, van der Wee, NJA, Van Haren, NEM, van't Ent, D, Van Tol, M-J, Vardarajan, BN, Vellas, B, Veltman, DJ, Voelzke, H, Walter, H, Wardlaw, JM, Wassink, TH, Weale, ME, Weinberger, DR, Weiner, MW, Wen, W, Westman, E, White, T, Wong, TY, Wright, CB, Zielke, RH, Zonderman, AB, Martin, NG, Van Duijn, CM, Wright, MJ, Longstreth, WT, Schumann, G, Grabe, HJ, Franke, B, Launer, LJ, Medland, SE, Seshadri, S, Thompson, PM, Ikram, MA, Hibar, DP, Adams, HHH, Jahanshad, N, Chauhan, G, Stein, JL, Hofer, E, Renteria, ME, Bis, JC, Arias-Vasquez, A, Ikram, MK, Desrivieres, S, Vernooij, MW, Abramovic, L, Alhusaini, S, Amin, N, Andersson, M, Arfanakis, K, Aribisala, BS, Armstrong, NJ, Athanasiu, L, Axelsson, T, Beecham, AH, Beiser, A, Bernard, M, Blanton, SH, Bohlken, MM, Boks, MP, Bralten, J, Brickman, AM, Carmichael, O, Chakravarty, MM, Chen, Q, Ching, CRK, Chouraki, V, Cuellar-Partida, G, Crivello, F, Den Braber, A, Nhat, TD, Ehrlich, S, Giddaluru, S, Goldman, AL, Gottesman, RF, Grimm, O, Griswold, ME, Guadalupe, T, Gutman, BA, Hass, J, Haukvik, UK, Hoehn, D, Holmes, AJ, Hoogman, M, Janowitz, D, Jia, T, Jorgensen, KN, Karbalai, N, Kasperaviciute, D, Kim, S, Klein, M, Kraemer, B, Lee, PH, Liewald, DCM, Lopez, LM, Luciano, M, Macare, C, Marquand, AF, Matarin, M, Mather, KA, Mattheisen, M, McKay, DR, Milaneschi, Y, Maniega, SM, Nho, K, Nugent, AC, Nyquist, P, Loohuis, LMO, Oosterlaan, J, Papmeyer, M, Pirpamer, L, Puetz, B, Ramasamy, A, Richards, JS, Risacher, SL, Roiz-Santianez, R, Rommelse, N, Ropele, S, Rose, EJ, Royle, NA, Rundek, T, Saemann, PG, Saremi, A, Satizabal, CL, Schmaal, L, Schork, AJ, Shen, L, Shin, J, Shumskaya, E, Smith, AV, Sprooten, E, Strike, LT, Teumer, A, Tordesillas-Gutierrez, D, Toro, R, Trabzuni, D, Trompet, S, Vaidya, D, Van der Grond, J, Van der Lee, SJ, Van der Meer, D, Van Donkelaar, MMJ, Van Eijk, KR, Van Erp, TGM, Van Rooij, D, Walton, E, Westlye, LT, Whelan, CD, Windham, BG, Winkler, AM, Wittfeld, K, Woldehawariat, G, Wolf, C, Wolfers, T, Yanek, LR, Yang, J, Zijdenbos, A, Zwiers, MP, Agartz, I, Almasy, L, Ames, D, Amouyel, P, Andreassen, OA, Arepalli, S, Assareh, AA, Barral, S, Bastin, ME, Becker, DM, Becker, JT, Bennett, DA, Blangero, J, van Bokhoven, H, Boomsma, DI, Brodaty, H, Brouwer, RM, Brunner, HG, Buckner, RL, Buitelaar, JK, Bulayeva, KB, Cahn, W, Calhoun, VD, Cannon, DM, Cavalleri, GL, Cheng, C-Y, Cichon, S, Cookson, MR, Corvin, A, Crespo-Facorro, B, Curran, JE, Czisch, M, Dale, AM, Davies, GE, De Craen, AJM, De Geus, EJC, De Jager, PL, De Zubicaray, GI, Deary, IJ, Debette, S, DeCarli, C, Delanty, N, Depondt, C, DeStefano, A, Dillman, A, Djurovic, S, Donohoe, G, Drevets, WC, Duggirala, R, Dyer, TD, Enzinger, C, Erk, S, Espeseth, T, Fedko, IO, Fernandez, G, Ferrucci, L, Fisher, SE, Fleischman, DA, Ford, I, Fornage, M, Foroud, TM, Fox, PT, Francks, C, Fukunaga, M, Gibbs, JR, Glahn, DC, Gollub, RL, Goring, HHH, Green, RC, Gruber, O, Gudnason, V, Guelfi, S, Haberg, AK, Hansell, NK, Hardy, J, Hartman, CA, Hashimoto, R, Hegenscheid, K, Heinz, A, Le Hellard, S, Hernandez, DG, Heslenfeld, DJ, Ho, B-C, Hoekstra, PJ, Hoffmann, W, Hofman, A, Holsboer, F, Homuth, G, Hosten, N, Hottenga, J-J, Huentelman, M, Pol, HEH, Ikeda, M, Jack, CR, Jenkinson, M, Johnson, R, Joensson, EG, Jukema, JW, Kahn, RS, Kanai, R, Kloszewska, I, Knopman, DS, Kochunov, P, Kwok, JB, Lawrie, SM, Lemaitre, H, Liu, X, Longo, DL, Lopez, OL, Lovestone, S, Martinez, O, Martinot, J-L, Mattay, VS, McDonald, C, McIntosh, AM, McMahon, FJ, McMahon, KL, Mecocci, P, Melle, I, Meyer-Lindenberg, A, Mohnke, S, Montgomery, GW, Morris, DW, Mosley, TH, Muhleisen, TW, Mueller-Myhsok, B, Nalls, MA, Nauck, M, Nichols, TE, Niessen, WJ, Nothen, MM, Nyberg, L, Ohi, K, Olvera, RL, Ophoff, RA, Pandolfo, M, Paus, T, Pausova, Z, Penninx, BWJH, Pike, GB, Potkin, SG, Psaty, BM, Reppermund, S, Rietschel, M, Roffman, JL, Romanczuk-Seiferth, N, Rotter, JI, Ryten, M, Sacco, RL, Sachdev, PS, Saykin, AJ, Schmidt, R, Schmidt, H, Schofield, PR, Sigursson, S, Simmons, A, Singleton, A, Sisodiya, SM, Smith, C, Smoller, JW, Soininen, H, Steen, VM, Stott, DJ, Sussmann, JE, Thalamuthu, A, Toga, AW, Traynor, BJ, Troncoso, J, Tsolaki, M, Tzourio, C, Uitterlinden, AG, Hernandez, MCV, Van der Brug, M, van der Lugt, A, van der Wee, NJA, Van Haren, NEM, van't Ent, D, Van Tol, M-J, Vardarajan, BN, Vellas, B, Veltman, DJ, Voelzke, H, Walter, H, Wardlaw, JM, Wassink, TH, Weale, ME, Weinberger, DR, Weiner, MW, Wen, W, Westman, E, White, T, Wong, TY, Wright, CB, Zielke, RH, Zonderman, AB, Martin, NG, Van Duijn, CM, Wright, MJ, Longstreth, WT, Schumann, G, Grabe, HJ, Franke, B, Launer, LJ, Medland, SE, Seshadri, S, Thompson, PM, and Ikram, MA

Abstract

The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer's disease (rg=-0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness.

Published
2017

16. Genetic contributions to variation in general cognitive function: A meta-analysis of genome-wide association studies in the CHARGE consortium (N=53 949)

Author

Davies, G, Armstrong, N, Bis, JC, Bressler, J, Chouraki, V, Giddaluru, S, Hofer, E, Ibrahim-Verbaas, CA, Kirin, M, Lahti, J, Van Der Lee, SJ, Le Hellard, S, Liu, T, Marioni, RE, Oldmeadow, C, Postmus, I, Smith, AV, Smith, JA, Thalamuthu, A, Thomson, R, Vitart, V, Wang, J, Yu, L, Zgaga, L, Zhao, W, Boxall, R, Harris, SE, Hill, WD, Liewald, DC, Luciano, M, Adams, H, Ames, D, Amin, N, Amouyel, P, Assareh, AA, Au, R, Becker, JT, Beiser, A, Berr, C, Bertram, L, Boerwinkle, E, Buckley, BM, Campbell, H, Corley, J, De Jager, PL, Dufouil, C, Eriksson, JG, Espeseth, T, Faul, JD, Ford, I, Scotland, G, Gottesman, RF, Griswold, ME, Gudnason, V, Harris, TB, Heiss, G, Hofman, A, Holliday, EG, Huffman, J, Kardia, SLR, Kochan, N, Knopman, DS, Kwok, JB, Lambert, JC, Lee, T, Li, G, Li, SC, Loitfelder, M, Lopez, OL, Lundervold, AJ, Lundqvist, A, Mather, KA, Mirza, SS, Nyberg, L, Oostra, BA, Palotie, A, Papenberg, G, Pattie, A, Petrovic, K, Polasek, O, Psaty, BM, Redmond, P, Reppermund, S, Rotter, JI, Schmidt, H, Schuur, M, Schofield, PW, Scott, RJ, Steen, VM, Stott, DJ, Van Swieten, JC, Taylor, KD, Trollor, J, Trompet, S, Uitterlinden, AG, Weinstein, G, Widen, E, Windham, BG, Jukema, JW, Wright, AF, Davies, G, Armstrong, N, Bis, JC, Bressler, J, Chouraki, V, Giddaluru, S, Hofer, E, Ibrahim-Verbaas, CA, Kirin, M, Lahti, J, Van Der Lee, SJ, Le Hellard, S, Liu, T, Marioni, RE, Oldmeadow, C, Postmus, I, Smith, AV, Smith, JA, Thalamuthu, A, Thomson, R, Vitart, V, Wang, J, Yu, L, Zgaga, L, Zhao, W, Boxall, R, Harris, SE, Hill, WD, Liewald, DC, Luciano, M, Adams, H, Ames, D, Amin, N, Amouyel, P, Assareh, AA, Au, R, Becker, JT, Beiser, A, Berr, C, Bertram, L, Boerwinkle, E, Buckley, BM, Campbell, H, Corley, J, De Jager, PL, Dufouil, C, Eriksson, JG, Espeseth, T, Faul, JD, Ford, I, Scotland, G, Gottesman, RF, Griswold, ME, Gudnason, V, Harris, TB, Heiss, G, Hofman, A, Holliday, EG, Huffman, J, Kardia, SLR, Kochan, N, Knopman, DS, Kwok, JB, Lambert, JC, Lee, T, Li, G, Li, SC, Loitfelder, M, Lopez, OL, Lundervold, AJ, Lundqvist, A, Mather, KA, Mirza, SS, Nyberg, L, Oostra, BA, Palotie, A, Papenberg, G, Pattie, A, Petrovic, K, Polasek, O, Psaty, BM, Redmond, P, Reppermund, S, Rotter, JI, Schmidt, H, Schuur, M, Schofield, PW, Scott, RJ, Steen, VM, Stott, DJ, Van Swieten, JC, Taylor, KD, Trollor, J, Trompet, S, Uitterlinden, AG, Weinstein, G, Widen, E, Windham, BG, Jukema, JW, and Wright, AF

Abstract

General cognitive function is substantially heritable across the human life course from adolescence to old age. We investigated the genetic contribution to variation in this important, health- and well-being-related trait in middle-aged and older adults. We conducted a meta-analysis of genome-wide association studies of 31 cohorts (N=53 949) in which the participants had undertaken multiple, diverse cognitive tests. A general cognitive function phenotype was tested for, and created in each cohort by principal component analysis. We report 13 genome-wide significant single-nucleotide polymorphism (SNP) associations in three genomic regions, 6q16.1, 14q12 and 19q13.32 (best SNP and closest gene, respectively: rs10457441, P=3.93 × 10-9, MIR2113; rs17522122, P=2.55 × 10-8, AKAP6; rs10119, P=5.67 × 10-9, APOE/TOMM40). We report one gene-based significant association with the HMGN1 gene located on chromosome 21 (P=1 × 10-6). These genes have previously been associated with neuropsychiatric phenotypes. Meta-analysis results are consistent with a polygenic model of inheritance. To estimate SNP-based heritability, the genome-wide complex trait analysis procedure was applied to two large cohorts, the Atherosclerosis Risk in Communities Study (N=6617) and the Health and Retirement Study (N=5976). The proportion of phenotypic variation accounted for by all genotyped common SNPs was 29% (s.e.=5%) and 28% (s.e.=7%), respectively. Using polygenic prediction analysis, ∼1.2% of the variance in general cognitive function was predicted in the Generation Scotland cohort (N=5487; P=1.5 × 10-17). In hypothesis-driven tests, there was significant association between general cognitive function and four genes previously associated with Alzheimer's disease: TOMM40, APOE, ABCG1 and MEF2C.

Published
2015

17. Genome-wide Analysis of Genetic Loci Associated With Alzheimer Disease

Author

Seshadri, S, Fitzpatrick, AL, Ikram, Arfan, DeStefano, AL, Gudnason, V, Boada, M, Bis, JC, Smith, AV, Carassquillo, MM, Lambert, JC, Harold, D, Schrijvers, Elisabeth, Ramirez-Lorca, R, Debette, S, Longstreth, WT, Janssens, Cecile, Pankratz, VS, Dartigues, JF, Hollingworth, P, Aspelund, T, Hernandez, I, Beiser, A, Kuller, LH, Koudstaal, Peter, Dickson, DW, Tzourio, C, Abraham, R, Antunez, C, Du, YC, Rotter, JI, Aulchenko, YS, Harris, TB, Petersen, RC, Berr, C, Owen, MJ, Lopez-Arrieta, J, Varadarajan, BN, Becker, JT, Rivadeneira, Fernando, Nalls, MA, Graff-Radford, NR, Campion, D, Auerbach, S, Rice, K, Hofman, Bert, Jonsson, PV, Schmidt, Heléna, Lathrop, M, Mosley, TH, Psaty, BM, Uitterlinden, André, Farrer, LA, Lumley, T, Ruiz, A, Williams, J, Amouyel, P, Younkin, SG, Wolf, PA, Launer, LJ (Lenore), Lopez, OL, Duijn, Cornelia, Breteler, Monique, Radiology & Nuclear Medicine, Epidemiology, Neurology, and Internal Medicine

Abstract

Context Genome-wide association studies (GWAS) have recently identified CLU, PICALM, and CR1 as novel genes for late-onset Alzheimer disease (AD). Objectives To identify and strengthen additional loci associated with AD and confirm these in an independent sample and to examine the contribution of recently identified genes to AD risk prediction in a 3-stage analysis of new and previously published GWAS on more than 35 000 persons (8371 AD cases). Design, Setting, and Participants In stage 1, we identified strong genetic associations (P < 10(-3)) in a sample of 3006 AD cases and 14 642 controls by combining new data from the population-based Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (1367 AD cases [973 incident]) with previously reported results from the Translational Genomics Research Institute and the Mayo AD GWAS. We identified 2708 single-nucleotide polymorphisms (SNPs) with P < 10(-3). In stage 2, we pooled results for these SNPs with the European AD Initiative (2032 cases and 5328 controls) to identify 38 SNPs (10 loci) with P < 10(-5). In stage 3, we combined data for these 10 loci with data from the Genetic and Environmental Risk in AD consortium (3333 cases and 6995 controls) to identify 4 SNPs with P < 1.7 x 10(-8). These 4 SNPs were replicated in an independent Spanish sample (1140 AD cases and 1209 controls). Genome-wide association analyses were completed in 2007-2008 and the meta-analyses and replication in 2009. Main Outcome Measure Presence of Alzheimer disease. Results Two loci were identified to have genome-wide significance for the first time: rs744373 near BIN1 (odds ratio [OR], 1.13; 95% confidence interval [CI], 1.06-1.21 per copy of the minor allele; P=1.59 x 10(-11)) and rs597668 near EXOC3L2/BLOC1S3/MARK4 (OR, 1.18; 95% CI, 1.07-1.29; P=6.45 x 10(-9)). Associations of these 2 loci plus the previously identified loci CLU and PICALM with AD were confirmed in the Spanish sample (P

Published
2010

18. ATP5H/KCTD2 locus is associated with Alzheimer's disease risk

Author

Boada, M, Antunez, C, Ramirez-Lorca, R, DeStefano, AL, Gonzalez-Perez, A, Gayan, J, Lopez-Arrieta, J, Ikram, Arfan, Hernandez, I, Marin, J, Galan, JJ, Bis, JC, Mauleon, A, Rosende-Roca, M, Moreno-Rey, C, Gudnasson, V, Moron, FJ, Velasco, J, Carrasco, JM, Alegret, M, Espinosa, A, Vinyes, G, Lafuente, A, Vargas, L, Fitzpatrick, AL, Launer, LJ (Lenore), Saez, ME, Vazquez, E, Becker, JT, Lopez, OL, Serrano-Rios, M, Tarraga, L, Duijn, Cornelia, Real, LM, Seshadri, S, Ruiz, A, Boada, M, Antunez, C, Ramirez-Lorca, R, DeStefano, AL, Gonzalez-Perez, A, Gayan, J, Lopez-Arrieta, J, Ikram, Arfan, Hernandez, I, Marin, J, Galan, JJ, Bis, JC, Mauleon, A, Rosende-Roca, M, Moreno-Rey, C, Gudnasson, V, Moron, FJ, Velasco, J, Carrasco, JM, Alegret, M, Espinosa, A, Vinyes, G, Lafuente, A, Vargas, L, Fitzpatrick, AL, Launer, LJ (Lenore), Saez, ME, Vazquez, E, Becker, JT, Lopez, OL, Serrano-Rios, M, Tarraga, L, Duijn, Cornelia, Real, LM, Seshadri, S, and Ruiz, A

Abstract

To identify loci associated with Alzheimer disease, we conducted a three-stage analysis using existing genome-wide association studies (GWAS) and genotyping in a new sample. In Stage I, all suggestive single-nucleotide polymorphisms (at P<0.001) in a previously reported GWAS of seven independent studies (8082 Alzheimer's disease (AD) cases; 12 040 controls) were selected, and in Stage II these were examined in an in silico analysis within the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium GWAS (1367 cases and 12904 controls). Six novel signals reaching P<5 x 10(-6) were genotyped in an independent Stage III sample (the Fundacio ACE data set) of 2200 sporadic AD patients and 2301 controls. We identified a novel association with AD in the adenosine triphosphate (ATP) synthase, H + transporting, mitochondrial F0 (ATP5H)/Potassium channel tetramerization domain-containing protein 2 (KCTD2) locus, which reached genome-wide significance in the combined discovery and genotyping sample (rs11870474, odds ratio (OR)= 1.58, P= 2.6 X 10(-7) in discovery and OR 1.43, P= 0.004 in Fundacio ACE data set; combined OR= 1.53, P= 4.7 X 10(-9)). This ATP5H/KCTD2 locus has an important function in mitochondrial energy production and neuronal hyperpolarization during cellular stress conditions, such as hypoxia or glucose deprivation.

Published
2014

20. Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals.

Author

DIAGRAM+ Consortium, MAGIC Consortium, GLGC Investigators, MuTHER Consortium, DIAGRAM Consortium, GIANT Consortium, Global B Pgen Consortium, Procardis Consortium, MAGIC investigators, GLGC Consortium, Olson, J., Kronmal, R., Robbins, J., Chaves, PH., Burke, G., Kuller, LH., Tracy, R., Gottdiener, J., Prineas, R., Becker, JT., Enright, P., Klein, R., O'Leary, DH., Dastani, Z., Hivert, M.F., Timpson, N., Perry, J.R., Yuan, X., Scott, R.A., Henneman, P., Heid, I.M., Kizer, J.R., Lyytikäinen, L.P., Fuchsberger, C., Tanaka, T., Morris, A.P., Small, K., Isaacs, A., Beekman, M., Coassin, S., Lohman, K., Qi, L., Kanoni, S., Pankow, J.S., Uh, H.W., Wu, Y., Bidulescu, A., Rasmussen-Torvik, L.J., Greenwood, C.M., Ladouceur, M., Grimsby, J., Manning, A.K., Liu, C.T., Kooner, J., Mooser, V.E., Vollenweider, P., Kapur, K.A., Chambers, J., Wareham, N.J., Langenberg, C., Frants, R., Willems-Vandijk, K., Oostra, B.A., Willems, S.M., Lamina, C., Winkler, T.W., Psaty, B.M., Tracy, R.P., Brody, J., Chen, I., Viikari, J., Kähönen, M., Pramstaller, P.P., Evans, D.M., St Pourcain, B., Sattar, N., Wood, A.R., Bandinelli, S., Carlson, O.D., Egan, J.M., Böhringer, S., van Heemst, D., Kedenko, L., Kristiansson, K., Nuotio, M.L., Loo, B.M., Harris, T., Garcia, M., Kanaya, A., Haun, M., Klopp, N., Wichmann, H.E., Deloukas, P., Katsareli, E., Couper, D.J., Duncan, B.B., Kloppenburg, M., Adair, L.S., Borja, J.B., Wilson, J.G., Musani, S., Guo, X., Johnson, T., Semple, R., Teslovich, T.M., Allison, M.A., Redline, S., Buxbaum, S.G., Mohlke, K.L., Meulenbelt, I., Ballantyne, C.M., Dedoussis, G.V., Hu, F.B., Liu, Y., Paulweber, B., Spector, T.D., Slagboom, P.E., Ferrucci, L., Jula, A., Perola, M., Raitakari, O., Florez, J.C., Salomaa, V., Eriksson, J.G., Frayling, T.M., Hicks, A.A., Lehtimäki, T., Smith, G.D., Siscovick, D.S., Kronenberg, F., van Duijn, C., Loos, R.J., Waterworth, D.M., Meigs, J.B., Dupuis, J., Richards, J.B., Voight, B.F., Scott, L.J., Steinthorsdottir, V., Dina, C., Welch, R.P., Zeggini, E., Huth, C., Aulchenko, Y.S., Thorleifsson, G., McCulloch, L.J., Ferreira, T., Grallert, H., Amin, N., Wu, G., Willer, C.J., Raychaudhuri, S., McCarroll, S.A., Hofmann, O.M., Segrè, A.V., van Hoek, M., Navarro, P., Ardlie, K., Balkau, B., Benediktsson, R., Bennett, A.J., Blagieva, R., Boerwinkle, E., Bonnycastle, L.L., Boström, K.B., Bravenboer, B., Bumpstead, S., Burtt, N.P., Charpentier, G., Chines, P.S., Cornelis, M., Crawford, G., Doney, A.S., Elliott, K.S., Elliott, A.L., Erdos, M.R., Fox, C.S., Franklin, C.S., Ganser, M., Gieger, C., Grarup, N., Green, T., Griffin, S., Groves, C.J., Guiducci, C., Hadjadj, S., Hassanali, N., Herder, C., Isomaa, B., Jackson, A.U., Johnson, P.R., Jørgensen, T., Kao, W.H., Kong, A., Kraft, P., Kuusisto, J., Lauritzen, T., Li, M., Lieverse, A., Lindgren, C.M., Lyssenko, V., Marre, M., Meitinger, T., Midthjell, K., Morken, M.A., Narisu, N., Nilsson, P., Owen, K.R., Payne, F., Petersen, A.K., Platou, C., Proença, C., Prokopenko, I., Rathmann, W., Rayner, N.W., Robertson, N.R., Rocheleau, G., Roden, M., Sampson, M.J., Saxena, R., Shields, B.M., Shrader, P., Sigurdsson, G., Sparsø, T., Strassburger, K., Stringham, H.M., Sun, Q., Swift, A.J., Thorand, B., Tichet, J., Tuomi, T., van Dam, R.M., van Haeften, T.W., van Herpt, T., van Vliet-Ostaptchouk, J.V., Walters, G.B., Weedon, M.N., Wijmenga, C., Witteman, J., Bergman, R.N., Cauchi, S., Collins, F.S., Gloyn, A.L., Gyllensten, U., Hansen, T., Hide, W.A., Hitman, G.A., Hofman, A., Hunter, D.J., Hveem, K., Laakso, M., Morris, A.D., Palmer, C.N., Rudan, I., Sijbrands, E., Stein, L.D., Tuomilehto, J., Uitterlinden, A., Walker, M., Watanabe, R.M., Abecasis, G.R., Boehm, B.O., Campbell, H., Daly, M.J., Hattersley, A.T., Pedersen, O., Barroso, I., Groop, L., Sladek, R., Thorsteinsdottir, U., Wilson, J.F., Illig, T., Froguel, P., van Duijn, C.M., Stefansson, K., Altshuler, D., Boehnke, M., McCarthy, M.I., Soranzo, N., Wheeler, E., Glazer, N.L., Bouatia-Naji, N., Mägi, R., Randall, J., Elliott, P., Rybin, D., Dehghan, A., Hottenga, J.J., Song, K., Goel, A., Lajunen, T., Doney, A., Cavalcanti-Proença, C., Kumari, M., Timpson, N.J., Zabena, C., Ingelsson, E., An, P., O'Connell, J., Luan, J., Elliott, A., Roccasecca, R.M., Pattou, F., Sethupathy, P., Ariyurek, Y., Barter, P., Beilby, J.P., Ben-Shlomo, Y., Bergmann, S., Bochud, M., Bonnefond, A., Borch-Johnsen, K., Böttcher, Y., Brunner, E., Bumpstead, S.J., Chen, Y.D., Chines, P., Clarke, R., Coin, L.J., Cooper, M.N., Crisponi, L., Day, I.N., de Geus, E.J., Delplanque, J., Fedson, A.C., Fischer-Rosinsky, A., Forouhi, N.G., Franzosi, M.G., Galan, P., Goodarzi, M.O., Graessler, J., Grundy, S., Gwilliam, R., Hallmans, G., Hammond, N., Han, X., Hartikainen, A.L., Hayward, C., Heath, S.C., Hercberg, S., Hillman, D.R., Hingorani, A.D., Hui, J., Hung, J., Kaakinen, M., Kaprio, J., Kesaniemi, Y.A., Kivimaki, M., Knight, B., Koskinen, S., Kovacs, P., Kyvik, K.O., Lathrop, G.M., Lawlor, D.A., Le Bacquer, O., Lecoeur, C., Li, Y., 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Consortium, GLGC Investigators, MuTHER Consortium, DIAGRAM Consortium, GIANT Consortium, Global B Pgen Consortium, Procardis Consortium, MAGIC investigators, GLGC Consortium, Olson, J., Kronmal, R., Robbins, J., Chaves, PH., Burke, G., Kuller, LH., Tracy, R., Gottdiener, J., Prineas, R., Becker, JT., Enright, P., Klein, R., O'Leary, DH., Dastani, Z., Hivert, M.F., Timpson, N., Perry, J.R., Yuan, X., Scott, R.A., Henneman, P., Heid, I.M., Kizer, J.R., Lyytikäinen, L.P., Fuchsberger, C., Tanaka, T., Morris, A.P., Small, K., Isaacs, A., Beekman, M., Coassin, S., Lohman, K., Qi, L., Kanoni, S., Pankow, J.S., Uh, H.W., Wu, Y., Bidulescu, A., Rasmussen-Torvik, L.J., Greenwood, C.M., Ladouceur, M., Grimsby, J., Manning, A.K., Liu, C.T., Kooner, J., Mooser, V.E., Vollenweider, P., Kapur, K.A., Chambers, J., Wareham, N.J., Langenberg, C., Frants, R., Willems-Vandijk, K., Oostra, B.A., Willems, S.M., Lamina, C., Winkler, T.W., Psaty, B.M., Tracy, R.P., Brody, J., Chen, I., Viikari, J., Kähönen, 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Mangino, M., Martínez-Larrad, M.T., McAteer, J.B., McPherson, R., Meisinger, C., Melzer, D., Meyre, D., Mitchell, B.D., Mukherjee, S., Naitza, S., Neville, M.J., Orrù, M., Pakyz, R., Paolisso, G., Pattaro, C., Pearson, D., Peden, J.F., Pedersen, N.L., Pfeiffer, A.F., Pichler, I., Polasek, O., Posthuma, D., Potter, S.C., Pouta, A., Province, M.A., Rice, K., Ripatti, S., Rivadeneira, F., Rolandsson, O., Sandbaek, A., Sandhu, M., Sanna, S., Sayer, A.A., Scheet, P., Seedorf, U., Sharp, S.J., Shields, B., Sigurðsson, G., Sijbrands, E.J., Silveira, A., Simpson, L., Singleton, A., Smith, N.L., Sovio, U., Swift, A., Syddall, H., Syvänen, A.C., Tönjes, A., Uitterlinden, A.G., van Dijk, K.W., Varma, D., Visvikis-Siest, S., Vitart, V., Vogelzangs, N., Waeber, G., Wagner, P.J., Walley, A., Ward, K.L., Watkins, H., Wild, S.H., Willemsen, G., Witteman, J.C., Yarnell, J.W., Zelenika, D., Zethelius, B., Zhai, G., Zhao, J.H., Zillikens, M.C., Borecki, I.B., Meneton, P., Magnusson, P.K., Nathan, D.M., 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Abstract

Circulating levels of adiponectin, a hormone produced predominantly by adipocytes, are highly heritable and are inversely associated with type 2 diabetes mellitus (T2D) and other metabolic traits. We conducted a meta-analysis of genome-wide association studies in 39,883 individuals of European ancestry to identify genes associated with metabolic disease. We identified 8 novel loci associated with adiponectin levels and confirmed 2 previously reported loci (P = 4.5×10(-8)-1.2×10(-43)). Using a novel method to combine data across ethnicities (N = 4,232 African Americans, N = 1,776 Asians, and N = 29,347 Europeans), we identified two additional novel loci. Expression analyses of 436 human adipocyte samples revealed that mRNA levels of 18 genes at candidate regions were associated with adiponectin concentrations after accounting for multiple testing (p<3×10(-4)). We next developed a multi-SNP genotypic risk score to test the association of adiponectin decreasing risk alleles on metabolic traits and diseases using consortia-level meta-analytic data. This risk score was associated with increased risk of T2D (p = 4.3×10(-3), n = 22,044), increased triglycerides (p = 2.6×10(-14), n = 93,440), increased waist-to-hip ratio (p = 1.8×10(-5), n = 77,167), increased glucose two hours post oral glucose tolerance testing (p = 4.4×10(-3), n = 15,234), increased fasting insulin (p = 0.015, n = 48,238), but with lower in HDL-cholesterol concentrations (p = 4.5×10(-13), n = 96,748) and decreased BMI (p = 1.4×10(-4), n = 121,335). These findings identify novel genetic determinants of adiponectin levels, which, taken together, influence risk of T2D and markers of insulin resistance.

Published
2012

21. Genome-wide association and functional follow-up reveals new loci for kidney function.

Author

CARDIoGRAM Consortium, ICBP Consortium, CARe Consortium, Wellcome Trust Case Control Consortium 2 (WTCCC2), Olson, J., Kronmal, R., Robbins, J., Chaves, PH., Burke, G., Kuller, LH., Tracy, R., Gottdiener, J., Prineas, R., Becker, JT., Enright, P., Klein, R., O'Leary, DH., Pattaro, C., Köttgen, A., Teumer, A., Garnaas, M., Böger, C.A., Fuchsberger, C., Olden, M., Chen, M.H., Tin, A., Taliun, D., Li, M., Gao, X., Gorski, M., Yang, Q., Hundertmark, C., Foster, M.C., O'Seaghdha, C.M., Glazer, N., Isaacs, A., Liu, C.T., Smith, A.V., O'Connell, J.R., Struchalin, M., Tanaka, T., Li, G., Johnson, A.D., Gierman, H.J., Feitosa, M., Hwang, S.J., Atkinson, E.J., Lohman, K., Cornelis, M.C., Johansson, Å., Tönjes, A., Dehghan, A., Chouraki, V., Holliday, E.G., Sorice, R., Kutalik, Z., Lehtimäki, T., Esko, T., Deshmukh, H., Ulivi, S., Chu, A.Y., Murgia, F., Trompet, S., Imboden, M., Kollerits, B., Pistis, G., Harris, T.B., Launer, L.J., Aspelund, T., Eiriksdottir, G., Mitchell, B.D., Boerwinkle, E., Schmidt, H., Cavalieri, M., Rao, M., Hu, F.B., Demirkan, A., Oostra, B.A., de Andrade, M., Turner, S.T., Ding, J., Andrews, J.S., Freedman, B.I., Koenig, W., Illig, T., Döring, A., Wichmann, H.E., Kolcic, I., Zemunik, T., Boban, M., Minelli, C., Wheeler, H.E., Igl, W., Zaboli, G., Wild, S.H., Wright, A.F., Campbell, H., Ellinghaus, D., Nöthlings, U., Jacobs, G., Biffar, R., Endlich, K., Ernst, F., Homuth, G., Kroemer, H.K., Nauck, M., Stracke, S., Völker, U., Völzke, H., Kovacs, P., Stumvoll, M., Mägi, R., Hofman, A., Uitterlinden, A.G., Rivadeneira, F., Aulchenko, Y.S., Polasek, O., Hastie, N., Vitart, V., Helmer, C., Wang, J.J., Ruggiero, D., Bergmann, S., Kähönen, M., Viikari, J., Nikopensius, T., Province, M., Ketkar, S., Colhoun, H., Doney, A., Robino, A., Giulianini, F., Krämer, B.K., Portas, L., Ford, I., Buckley, B.M., Adam, M., Thun, G.A., Paulweber, B., Haun, M., Sala, C., Metzger, M., Mitchell, P., Ciullo, M., Kim, S.K., Vollenweider, P., Raitakari, O., Metspalu, A., Palmer, C., Gasparini, P., Pirastu, M., Jukema, J.W., Probst-Hensch, N.M., Kronenberg, F., Toniolo, D., Gudnason, V., Shuldiner, A.R., Coresh, J., Schmidt, R., Ferrucci, L., Siscovick, D.S., van Duijn, C.M., Borecki, I., Kardia, S.L., Liu, Y., Curhan, G.C., Rudan, I., Gyllensten, U., Wilson, J.F., Franke, A., Pramstaller, P.P., Rettig, R., Prokopenko, I., Witteman, J.C., Hayward, C., Ridker, P., Parsa, A., Bochud, M., Heid, I.M., Goessling, W., Chasman, D.I., Kao, W.H., Fox, C.S., CARDIoGRAM Consortium, ICBP Consortium, CARe Consortium, Wellcome Trust Case Control Consortium 2 (WTCCC2), Olson, J., Kronmal, R., Robbins, J., Chaves, PH., Burke, G., Kuller, LH., Tracy, R., Gottdiener, J., Prineas, R., Becker, JT., Enright, P., Klein, R., O'Leary, DH., Pattaro, C., Köttgen, A., Teumer, A., Garnaas, M., Böger, C.A., Fuchsberger, C., Olden, M., Chen, M.H., Tin, A., Taliun, D., Li, M., Gao, X., Gorski, M., Yang, Q., Hundertmark, C., Foster, M.C., O'Seaghdha, C.M., Glazer, N., Isaacs, A., Liu, C.T., Smith, A.V., O'Connell, J.R., Struchalin, M., Tanaka, T., Li, G., Johnson, A.D., Gierman, H.J., Feitosa, M., Hwang, S.J., Atkinson, E.J., Lohman, K., Cornelis, M.C., Johansson, Å., Tönjes, A., Dehghan, A., Chouraki, V., Holliday, E.G., Sorice, R., Kutalik, Z., Lehtimäki, T., Esko, T., Deshmukh, H., Ulivi, S., Chu, A.Y., Murgia, F., Trompet, S., Imboden, M., Kollerits, B., Pistis, G., Harris, T.B., Launer, L.J., Aspelund, T., Eiriksdottir, G., Mitchell, B.D., Boerwinkle, E., Schmidt, H., Cavalieri, M., Rao, M., Hu, F.B., Demirkan, A., Oostra, B.A., de Andrade, M., Turner, S.T., Ding, J., Andrews, J.S., Freedman, B.I., Koenig, W., Illig, T., Döring, A., Wichmann, H.E., Kolcic, I., Zemunik, T., Boban, M., Minelli, C., Wheeler, H.E., Igl, W., Zaboli, G., Wild, S.H., Wright, A.F., Campbell, H., Ellinghaus, D., Nöthlings, U., Jacobs, G., Biffar, R., Endlich, K., Ernst, F., Homuth, G., Kroemer, H.K., Nauck, M., Stracke, S., Völker, U., Völzke, H., Kovacs, P., Stumvoll, M., Mägi, R., Hofman, A., Uitterlinden, A.G., Rivadeneira, F., Aulchenko, Y.S., Polasek, O., Hastie, N., Vitart, V., Helmer, C., Wang, J.J., Ruggiero, D., Bergmann, S., Kähönen, M., Viikari, J., Nikopensius, T., Province, M., Ketkar, S., Colhoun, H., Doney, A., Robino, A., Giulianini, F., Krämer, B.K., Portas, L., Ford, I., Buckley, B.M., Adam, M., Thun, G.A., Paulweber, B., Haun, M., Sala, C., Metzger, M., Mitchell, P., Ciullo, M., Kim, S.K., Vollenweider, P., Raitakari, O., Metspalu, A., Palmer, C., Gasparini, P., Pirastu, M., Jukema, J.W., Probst-Hensch, N.M., Kronenberg, F., Toniolo, D., Gudnason, V., Shuldiner, A.R., Coresh, J., Schmidt, R., Ferrucci, L., Siscovick, D.S., van Duijn, C.M., Borecki, I., Kardia, S.L., Liu, Y., Curhan, G.C., Rudan, I., Gyllensten, U., Wilson, J.F., Franke, A., Pramstaller, P.P., Rettig, R., Prokopenko, I., Witteman, J.C., Hayward, C., Ridker, P., Parsa, A., Bochud, M., Heid, I.M., Goessling, W., Chasman, D.I., Kao, W.H., and Fox, C.S.

Abstract

Chronic kidney disease (CKD) is an important public health problem with a genetic component. We performed genome-wide association studies in up to 130,600 European ancestry participants overall, and stratified for key CKD risk factors. We uncovered 6 new loci in association with estimated glomerular filtration rate (eGFR), the primary clinical measure of CKD, in or near MPPED2, DDX1, SLC47A1, CDK12, CASP9, and INO80. Morpholino knockdown of mpped2 and casp9 in zebrafish embryos revealed podocyte and tubular abnormalities with altered dextran clearance, suggesting a role for these genes in renal function. By providing new insights into genes that regulate renal function, these results could further our understanding of the pathogenesis of CKD.

Published
2012

22. The membrane-spanning 4-domains, subfamily A (MS4A) gene cluster contains a common variant associated with Alzheimer's disease

Author

Antúnez, C, Boada, M, González-Pérez, A, Gayán, J, Ramírez-Lorca, R, Marín, J, Hernández, I, Moreno-Rey, C, Morón, FJ, López-Arrieta, J, Mauleón, A, Rosende-Roca, M, Noguera-Perea, F, Legaz-García, A, Vivancos-Moreau, L, Velasco, J, Carrasco, JM, Alegret, M, Antequera-Torres, M, Manzanares, S, Romo, A, Blanca, I, Ruiz, S, Espinosa, A, Castaño, S, García, B, Martínez-Herrada, B, Vinyes, G, Lafuente, A, Becker, JT, Galán, JJ, Serrano-Ríos, M, Ruiz, Vázquez, E, Tárraga, L, Sáez, ME, López, OL, Real, LM, Ruiz, A, Antúnez, C, Boada, M, González-Pérez, A, Gayán, J, Ramírez-Lorca, R, Marín, J, Hernández, I, Moreno-Rey, C, Morón, FJ, López-Arrieta, J, Mauleón, A, Rosende-Roca, M, Noguera-Perea, F, Legaz-García, A, Vivancos-Moreau, L, Velasco, J, Carrasco, JM, Alegret, M, Antequera-Torres, M, Manzanares, S, Romo, A, Blanca, I, Ruiz, S, Espinosa, A, Castaño, S, García, B, Martínez-Herrada, B, Vinyes, G, Lafuente, A, Becker, JT, Galán, JJ, Serrano-Ríos, M, Ruiz, Vázquez, E, Tárraga, L, Sáez, ME, López, OL, Real, LM, and Ruiz, A

Abstract

Background: In order to identify novel loci associated with Alzheimer's disease (AD), we conducted a genome-wide association study (GWAS) in the Spanish population.Methods: We genotyped 1,128 individuals using the Affymetrix Nsp I 250K chip. A sample of 327 sporadic AD patients and 801 controls with unknown cognitive status from the Spanish general population were included in our initial study. To increase the power of the study, we combined our results with those of four other public GWAS datasets by applying identical quality control filters and the same imputation methods, which were then analyzed with a global meta-GWAS. A replication sample with 2,200 sporadic AD patients and 2,301 controls was genotyped to confirm our GWAS findings.Results: Meta-analysis of our data and independent replication datasets allowed us to confirm a novel genome-wide significant association of AD with the membrane-spanning 4-domains subfamily A (MS4A) gene cluster (rs1562990, P = 4.40E-11, odds ratio = 0.88, 95% confidence interval 0.85 to 0.91, n = 10,181 cases and 14,341 controls).Conclusions: Our results underscore the importance of international efforts combining GWAS datasets to isolate genetic loci for complex diseases. © 2011 Antúnez et al.; licensee BioMed Central Ltd.

Published
2011

23. Brain Structure and Obesity

Author

Ho, AJ, primary, Raji, CA, additional, Parikshak, NN, additional, Becker, JT, additional, Lopez, OL, additional, Kuller, LH, additional, Hua, X, additional, Leow, AD, additional, Toga, AW, additional, and Thompson, PM, additional

Published
2009
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25. A two-year follow-up of cognitive deficits and brain perfusion in mild cognitive impairment and mild Alzheimer's disease.

Author

Alegret M, Cuberas-Borrós G, Vinyes-Junqué G, Espinosa A, Valero S, Hernández I, Roca I, Ruíz A, Rosende-Roca M, Mauleón A, Becker JT, Castell-Conesa J, Tárraga L, Boada M, Alegret, Montserrat, Cuberas-Borrós, Gemma, Vinyes-Junqué, Georgina, Espinosa, Ana, Valero, Sergi, and Hernández, Isabel

Abstract

The 15-Objects Test (15-OT) provides useful gradation of visuoperceptual impairment from normal aging through Alzheimer's disease (AD) and correlates with temporo-parietal perfusion. The objectives of this study were to analyze progression of 15-OT performance in mild cognitive impairment (MCI) and AD, and its correlates with cognition and single photon emission computerized tomography (SPECT), as well as to examine neuropsychological and SPECT differences between the MCI patients who developed AD and those who did not. From the initial 126 participants (42/group), 38 AD, 39 MCI, and 38 elderly controls (EC) were reassessed (SPECT: 35 AD, 33 MCI, 35 EC) after two years. The progression of cognitive and SPECT scores during this period was compared between groups, and baseline data between converters and non-converters. The 15-OT was the only measure of progression that differed between the three groups; worsening scores on 15-OT were associated with worsening in verbal and visual retention, and decreased perfusion on left postsubicular area. In the MCI patients, cerebral perfusion fell over the two years in medial-posterior cingulate and fronto-temporo-parietal regions; AD showed extensive changes involving almost all cerebral regions. No SPECT changes were detected in controls. At baseline, the MCI patients who developed AD differed from non-converters in verbal recognition memory, but not in SPECT perfusion. In conclusion, SPECT and 15-OT appear to provide a potential measure to differentiate between normal aging, MCI, and AD. Worsening on 15-OT was related to decreased perfusion in postsubicular area; but further longitudinal studies are needed to determine the contribution of 15-OT as a predictor of AD from MCI. [ABSTRACT FROM AUTHOR]

Published
2012
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26. Markers of cholesterol metabolism in the brain show stronger associations with cerebrovascular disease than Alzheimer's disease.

Author

Hughes TM, Kuller LH, Lopez OL, Becker JT, Evans RW, Sutton-Tyrrell K, Rosano C, Hughes, Timothy M, Kuller, Lewis H, Lopez, Oscar L, Becker, James T, Evans, Rhobert W, Sutton-Tyrrell, Kim, and Rosano, Caterina

Abstract

Cholesterol metabolism is believed to play a role in the development of Alzheimer's disease (AD). Oxysterol metabolites of cholesterol, 24S-hydroxycholesterol (24-OHC, a brain-derived oxysterol) and 27-hydroxycholesterol (27-OHC, a peripherally derived oxysterol) cross the blood brain barrier and have been associated with AD. We investigated whether oxysterols were associated with markers of cerebrovascular disease prior to the onset of cognitive impairment. Oxysterols were quantified in 105 participants (average age: 80 ± 4 years) from the Pittsburgh Cardiovascular Health Study Cognition Study who remained cognitively normal at blood draw in 2002, had MRI in 1992 and 1998, and annual cognitive assessment for incident AD and mild cognitive impairment made by consensus conference between 1998 and 2010. Higher plasma levels of 24-OHC were associated with age, gender, the presence of high grade white matter hyperintensities, and brain infarcts on prior MRI. Participants with higher plasma 24-OHC and a greater ratio of 24-OHC/27-OHC were also more likely to develop incident cognitive impairment over 8 years of follow-up. Higher levels of 24-OHC suggest increased cholesterol metabolism occurring in the brains of participants with cerebrovascular disease prior to the onset of cognitive impairment. Measurement of oxysterols may provide information about cholesterol metabolism and brain disease over the cognitive impairment process. [ABSTRACT FROM AUTHOR]

Published
2012
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27. Gray matter atrophy associated with extrapyramidal signs in the Lewy body variant of Alzheimer's disease.

Author

Choi SH, Olabarrieta M, Lopez OL, Maruca V, Dekosky ST, Hamilton RL, Becker JT, Choi, Seong Hye, Olabarrieta, Mikel, Lopez, Oscar L, Maruca, Victoria, Dekosky, Steven T, Hamilton, Ronald L, and Becker, James T

Abstract

Up to 60% of the patients with Alzheimer's disease (AD) can have cortical or brainstem Lewy bodies (LB), and extrapyramidal signs (EPS) have been found to be associated with LB in AD patients. However, the relationship between EPS and brain volumes has not been studied in the LB variant of AD using structural magnetic resonance imaging (MRI). The purpose of this study was to determine the relationship between patterns of brain atrophy and clinical EPS in patients with pathologically confirmed AD. We compared gray matter structure using voxel-based morphometry in 29 Definite AD cases, 16 (55%) of whom also had LBs identified with α-synuclein immunohistochemistry. Multivariate models analyzed brain volume at a voxel level accounting for subject group, Mini-Mental State Examination (MMSE), EPS, total brain volume, and the time from MRI scan to death. There was no significant difference in gray matter volume in the Definite AD patients as a function of LB. There was a significant association between gray matter volumes and the MMSE in AD patients, both with and without LBs. There was a significant correlation between gray matter volume and EPS only in the group of AD patients with LBs, and not in those with pure AD. These findings suggest that that the etiology of EPS in patients with the LB variant of AD is associated with neuronal loss in the nigrostriatal tracts. By contrast, the source of the EPS in AD alone appears to be less well localized. [ABSTRACT FROM AUTHOR]

Published
2012
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31. Depressed mood is not a risk factor for incident dementia in a community-based cohort.

Author

Becker JT, Chang YF, Lopez OL, Dew MA, Sweet RA, Barnes D, Yaffe K, Young J, Kuller L, Reynolds CF 3rd, Becker, James T, Chang, Yue-Fang, Lopez, Oscar L, Dew, Mary Amanda, Sweet, Robert A, Barnes, Deborah, Yaffe, Kristine, Young, Jeffrey, Kuller, Lewis, and Reynolds, Charles F 3rd

Abstract

Objectives: To determine the relationship between depressed mood and the development of Alzheimer disease in cognitively normal individuals.Design: Longitudinal and observational.Setting: Community-based cohort study.Participants: A total of 288 participants in the Cardiovascular Health Study-Cognition Study (mean age: 77.52, SD =3.65, range: 70-89). All of the participants were adjudicated as cognitively normal in 1998/1999, and all had at least three visits before 1998/1999 with measures of cognition and mood state. The mean length of follow-up from 1998-1999 to 2007 was 7.1 years (range: 1-9 years, median =9 years).Measurements: The Center for Epidemiological Studies-Depression Scale (CESD) was used to index mood state, and the Modified Mini-Mental State Examination (3MSE) was the index of cognitive function among participants before 1998/1999. These measures were considered in two ways: participants were classified according to: 1) whether they showed a high-negative correlation between their CESD and 3MSE scores (i.e., indicating that greater depression was linked to poorer cognition) and 2) whether they showed persistently elevated CESD scores. The study outcome, development of dementia (N = 48), was based on consensus classifications, which was based on detailed neuropsychological and neurological exams.Results: The authors could find no consistent relationship between mood state, either alone or in relation to cognitive status, and the subsequent development of dementia. Those individuals whose cognitive functions were highly correlated with their mood state were no more likely to develop dementia than other participants. Those who had persistently depressed mood were also no more likely to develop dementia than those without persistently depressed mood.Conclusion: Within the confines of this prospective, community-based study of elderly adults, the authors could not find strong evidence to support the hypothesis that mood disturbance was linked with the development of dementia. [ABSTRACT FROM AUTHOR]

Published
2009
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35. Cholinesterase inhibitor treatment alters the natural history of Alzheimer's disease.

Author

Lopez OL, Becker JT, Wisniewski S, Saxton J, Kaufer DI, DeKosky ST, Lopez, O L, Becker, J T, Wisniewski, S, Saxton, J, Kaufer, D I, and DeKosky, S T

Abstract

Objective: To describe the effect of cholinesterase inhibitors (CEIs) on the natural course of Alzheimer's disease (AD).Methods: The short and long term effects of CEIs were evaluated in 135 patients with probable Alzheimer's disease relative to 135 patients who were never exposed to CEIs matched by age, education, duration of the symptoms, and cognitive status. We measured 1 year change in cognitive and functional performance, and the likelihood of arriving at each of four end points: (1) mini mental state examination (MMSE) of 9 or lower, (2) Blessed dementia rating scale for activities of daily living of 12 or higher, (3) nursing home admission, and (4) death, over an average 3 years of observation (36.7 (SD 21.5) months).Results: Patients on CEIs were better cognitively and functionally after 1 year compared with those patients who never used CEIs. A proportional hazard analysis with CEI use as a time dependent covariate showed that the use of CEIs decreased the risk of nursing home admission. There was no association, however, between use of CEIs and time to cognitive and functional end points, or to death.Conclusions: This observational study showed that there was an initial cognitive and functional benefit from the use of CEIs in Alzheimer's disease, which waned as the disease progressed. However, the results suggest that there is a long term beneficial effect of the use of CEIs, as indicated by the delay in admission to nursing homes. [ABSTRACT FROM AUTHOR]

Published
2002

37. Do homosexual and bisexual men who place others at potential risk for HIV have unique psychosocial profiles?

Author

Robins AG, Dew MA, Kingsley LA, and Becker JT

Abstract

Prevention of HIV infection requires individuals to attend not only to their own risk but also whether they place others at risk. To design appropriate interventions, however, it is important to determine whether HIV positive and HIV negative individuals who place others at potential risk differ in their psychological profiles. Such differences would suggest the need for specially tailored interventions for each group. We studied 525 homosexual and bisexual men (156 HIV positive, 369 HIV negative) from the Multicenter AIDS Cohort Study (Pittsburgh site) to (a) identify correlates of risky behavior and (b) determine whether these correlates differed by HIV serostatus. Although HIV positive men were somewhat less likely than HIV negative men to have engaged in high-risk sexual activity in the past 6 months (e.g., unprotected insertive anal intercourse), the correlates of such activity were identical across groups. Regardless of serostatus, men placing others at potential risk were younger, less educated, had less psychological distress and greater feelings of mastery, employed fewer active behavioral coping strategies, and were heavier users of alcohol and amyl nitrate (poppers). [ABSTRACT FROM AUTHOR]

Published
1997

38. Psychosocial factors associated with risky sexual behavior among HIV-seropositive gay men.

Author

Robins AG, Dew MA, Davidson S, Penkower L, Becker JT, and Kingsley L

Abstract

The present study examines sociodemographic characteristics, levels of psychological distress, and coping styles among HlV-seropositive (HIV+) gay men who either did or did not engage in sexual activity which placed others at risk for HIV infection. Risky sexual behavior was defined as engaging in insertive anal intercourse. Respondents were 156 HIV+ men enrolled at the Pittsburgh site of the Multicenter AIDS Cohort Study in 1989-90. HIV+ men who engaged in risky sexual behavior, while similar to remaining HIV+ men on most sociodemographic characteristics, showed lower levels of psychological distress and somewhat higher feelings of control over their lives. Risky men were less likely to employ active, behavioral strategies for day-to-day coping with the issues of HIV infection and AIDS, and were more likely to report using recreational drugs to reduce tension associated with thoughts about HIV. This profile of psychosocial characteristics associated with risky sexual activity may lead to further refinement of educational and other intervention strategies with HIV+ men. Implications for such strategies are discussed. [ABSTRACT FROM AUTHOR]

Published
1994

39. Meta-analysis of genetic association with diagnosed Alzheimer’s disease identifies novel risk loci and implicates Abeta, Tau, immunity and lipid processing

Author

Kunkle, BW, Grenier-Boley, B, Sims, R, Bis, JC, Naj, AC, Boland, A, Vronskaya, M, Van Der Lee, SJ, Amlie-Wolf, A, Bellenguez, C, Frizatti, A, Chouraki, V, Martin, ER, Sleegers, K, Badarinarayan, N, Jakobsdottir, J, Hamilton-Nelson, KL, Aloso, R, Raybould, R, Chen, Y, Kuzma, AB, Hiltunen, M, Morgan, T, Ahmad, S, Vardarajan, BN, Epelbaum, J, Hoffmann, P, Boada, M, Beecham, GW, Garnier, JG, Harold, D, Fitzpatrick, AL, Valladares, O, Moutet, ML, Gerrish, A, Smith, AV, Qu, L, Bacq, D, Denning, N, Jian, X, Zhao, Y, Zompo, MD, Fox, NC, Grove, ML, Choi, SH, Mateo, I, Hughes, JT, Adams, HH, Malamon, J, Garcia, FS, Patel, Y, Brody, JA, Dombroski, B, Naranjo, MCD, Daniilidou, M, Eiriksdottir, G, Mukherjee, S, Wallon, D, Uphill, J, Aspelund, T, Cantwell, LB, Garzia, F, Galimberti, D, Hofer, E, Butkiewics, M, Fin, B, Scarpini, E, Sarnowski, C, Bush, W, Meslage, S, Kornhuber, J, White, CC, Song, Y, Barber, RC, Engelborghs, S, Pichler, S, Voijnovic, D, Adams, PM, Vandenberghe, R, Mayhaus, M, Cupples, LA, Albert, MS, De Deyn, PP, Gu, W, Himali, JJ, Beekly, D, Squassina, A, Hartmann, AM, Orellana, A, Blacker, D, Rodriguez-Rodriguez, E, Lovestone, S, Garcia, ME, Doody, RS, Fernadez, CM, Sussams, R, Lin, H, Fairchild, TJ, Benito, YA, Holmes, C, Comic, H, Frosch, MP, Thonberg, H, Maier, W, Roschupkin, G, Ghetti, B, Giedraitis, V, Kawalia, A, Li, S, Huebinger, RM, Kilander, L, Moebus, S, Hernández, I, Kamboh, MI, Brundin, R, Turton, J, Yang, Q, Katz, MJ, Concari, L, Lord, J, Beiser, AS, Keene, CD, Helisalmi, S, Kloszewska, I, Kukull, WA, Koivisto, AM, Lynch, A, Tarraga, L, Larson, EB, Haapasalo, A, Lawlor, B, Mosley, TH, Lipton, RB, Solfrizzi, V, Gill, M, Longstreth, WT, Montine, TJ, Frisardi, V, Ortega-Cubero, S, Rivadeneira, F, Petersen, RC, Deramecourt, V, Ciaramella, A, Boerwinkle, E, Reiman, EM, Fievet, N, Caltagirone, C, Rotter, JI, Reisch, JS, Hanon, O, Cupidi, C, Uitterlinden, AG, Royall, DR, Dufouil, C, Maletta, RG, Moreno-Grau, S, Sano, M, Brice, A, Cecchetti, R, St George-Hyslop, P, Ritchie, K, Tsolaki, M, Tsuang, DW, Dubois, B, Craig, D, Wu, CK, Soininen, H, Avramidou, D, Albin, RL, Fratiglioni, L, Germanou, A, Apostolova, LG, Keller, L, Koutroumani, M, Arnold, SE, Panza, F, Gkatzima, O, Asthana, S, Hannequin, D, Whitehead, P, Atwood, CS, Caffarra, P, Hampel, H, Baldwin, CT, Lannfelt, L, Rubinsztein, DC, Barnes, LL, Pasquier, F, Frölich, L, Barral, S, McGuinness, B, Beach, TG, Johnston, JI, Becker, JT, Passmore, P, Bigio, EH, Schott, JM, Bird, TD, Warren, JD, Boeve, BF, Lupton, MK, Bowen, JD, Proitsi, P, Boxer, A, Powell, JF, Burke, Kauwe, JK, Burns, JM, Mancuso, M, Buxbaum, JD, Bonuccelli, U, Cairns, NJ, McQuillin, A, Cao, C, Livingston, G, Carlson, CS, Bass, NJ, Carlsson, CM, Hardy, J, Carney, RM, Bras, J, Carrasquillo, MM, Guerreiro, R, Allen, M, Chui, HC, Fisher, E, Cribbs, DH, Masullo, C, Crocco, EA, DeCarli, C, Bisceglio, G, Dick, M, Ma, L, Duara, R, Graff-Radford, NR, Evans, DA, Hodges, A, Faber, KM, Scherer, M, Fallon, KB, Riemenschneider, M, Fardo, DW, Heun, R, Farlow, MR, Ferris, S, Leber, M, Foroud, TM, Heuser, I, Galasko, DR, Giegling, I, Gearing, M, Hüll, M, Geschwind, DH, Gilbert, Morris, J, Green, RC, Mayo, K, Growdon, JH, Feulner, T, Hamilton, RL, Harrell, LE, Drichel, D, Honig, LS, Cushion, TD, Huentelman, MJ, Hollingworth, P, Hulette, CM, Hyman, BT, Marshall, R, Jarvik, GP, Meggy, A, Abner, E, Menzies, G, Jin, LW, Leonenko, G, Jun, G, Grozeva, D, Karydas, A, Russo, G, Kaye, JA, Kim, R, Jessen, F, Kowall, NW, Vellas, B, Kramer, JH, Vardy, E, LaFerla, FM, Jöckel, KH, Lah, JJ, Dichgans, M, Leverenz, JB, Mann, D, Levey, AI, Pickering-Brown, S, Lieberman, AP, Klopp, N, Lunetta, KL, Wichmann, HE, Lyketsos, CG, Morgan, K, Marson, DC, Brown, K, Martiniuk, F, Medway, C, Mash, DC, Nöthen, MM, Masliah, E, Hooper, NM, McCormick, WC, Daniele, A, McCurry, SM, Bayer, A, McDavid, AN, Gallacher, J, McKee, AC, Van Den Bussche, H, Mesulam, M, Brayne, C, Miller, BL, Riedel-Heller, S, Miller, CA, Miller, JW, Al-Chalabi, A, Morris, JC, Shaw, CE, Myers, AJ, Wiltfang, J, O’Bryant, S, Coto, E, Olichney, JM, Alvarez, V, Parisi, JE, Singleton, AB, Paulson, HL, Collinge, J, Perry, W, Mead, S, Peskind, E, Rosser, M, Pierce, A, Ryan, N, Poon, WW, Nacmias, B, Potter, H, Sorbi, S, Quinn, JF, Sacchinelli, E, Raj, A, Spalletta, G, Raskind, M, Bossù, P, Reisberg, B, Clarke, R, Reitz, C, and S, AD

Subjects
2 Aetiology, Aging, Prevention, Human Genome, 4202 Epidemiology, 42 Health Sciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurodegenerative, 3101 Biochemistry and Cell Biology, Alzheimer's Disease, 3105 Genetics, 3. Good health, Brain Disorders, Clinical Research, FOS: Biological sciences, Neurological, Acquired Cognitive Impairment, Genetics, 2.1 Biological and endogenous factors, Dementia, 31 Biological Sciences
Abstract

Introduction Late-onset Alzheimer’s disease (LOAD, onset age > 60 years) is the most prevalent dementia in the elderly 1 , and risk is partially driven by genetics 2 . Many of the loci responsible for this genetic risk were identified by genome-wide association studies (GWAS) 3–8 . To identify additional LOAD risk loci, the we performed the largest GWAS to date (89,769 individuals), analyzing both common and rare variants. We confirm 20 previous LOAD risk loci and identify four new genome-wide loci ( IQCK , ACE , ADAM10 , and ADAMTS1 ). Pathway analysis of these data implicates the immune system and lipid metabolism, and for the first time tau binding proteins and APP metabolism. These findings show that genetic variants affecting APP and Aβ processing are not only associated with early-onset autosomal dominant AD but also with LOAD. Analysis of AD risk genes and pathways show enrichment for rare variants ( P = 1.32 × 10 −7 ) indicating that additional rare variants remain to be identified.

40. Behavioral, health and psychosocial factors and risk for HIV infection among sexually active homosexual men: The Multicenter AIDS Cohort Study

Author

Lawrence A. Kingsley, Dew Ma, Becker Jt, Lili Penkower, F W Schaerf, P Satz, and Kathleen Sheridan

Subjects
Adult, Male, medicine.medical_specialty, Alcohol Drinking, Substance-Related Disorders, Sexual Behavior, Health Behavior, Multicenter AIDS Cohort Study, Cohort Studies, Acquired immunodeficiency syndrome (AIDS), Risk Factors, Epidemiology, medicine, Humans, Risk factor, Seroconversion, Acquired Immunodeficiency Syndrome, business.industry, Public health, Smoking, Public Health, Environmental and Occupational Health, Homosexuality, medicine.disease, Socioeconomic Factors, CD4 Antigens, business, Psychosocial, Cohort study, Demography, Research Article
Abstract

We examined whether 644 homosexual men who engaged in receptive anal intercourse were at particularly elevated risk for seroconversion if they also possessed specific behavioral, health or psychosocial vulnerability characteristics. Of 11 potential factors examined, heavy drinking, moderate to heavy drug use, and younger age were significantly related to seroconversion. These variables were also associated with an increased number of sexual partners, anonymous sex, and failure to use condoms.

42. Contribution of genetic background, traditional risk factors, and HIV-related factors to coronary artery disease events in HIV-positive persons

Author

Rotger, M, Glass, Tr, Junier, T, Lundgren, J, Neaton, Jd, Poloni, Es, van 't Wout AB, Lubomirov, R, Colombo, S, Martinez, R, Rauch, A, Günthard, Hf, Neuhaus, J, Wentworth, D, van Manen, D, Gras, La, Schuitemaker, H, Albini, L, Torti, C, Jacobson, Lp, Li, X, Kingsley, La, Carli, F, Guaraldi, G, Ford, Es, Sereti, I, Hadigan, C, Martinez, E, Arnedo, M, Egaña-Gorroño, L, Gatell, Jm, Law, M, Bendall, C, Petoumenos, K, Rockstroh, J, Wasmuth, Jc, Kabamba, K, Delforge, M, De Wit, S, Berger, F, Mauss, S, de Paz Sierra, M, Losso, M, Belloso, Wh, Leyes, M, Campins, A, Mondi, A, De Luca, A, Bernardino, I, Barriuso-Iglesias, M, Torrecilla-Rodriguez, A, Gonzalez-Garcia, J, Arribas, Jr, Fanti, I, Gel, S, Puig, J, Negredo, E, Gutierrez, M, Domingo, P, Fischer, J, Fätkenheuer, G, Alonso-Villaverde, C, Macken, A, Woo, J, Mcginty, T, Mallon, P, Mangili, A, Skinner, S, Wanke, Ca, Reiss, P, Weber, R, Bucher, Hc, Fellay, J, Telenti, A, Tarr, Pe, Vullo, V, Magnificent, Consortium, Insight, Swiss HIV Cohort Study, Mastroianni, C, MAGNIFICENT Consortium, Swiss HIV Cohort Study, INSIGHT, Rotger, M., Glass, TR., Lubomirov, R., Bucher, HC., Telenti, A., Tarr, PE., Junier, T., Poloni, ES., Fellay, J., Colombo, S., Martinez, R., Rauch, A., Weber, R., Günthard, HF., Neuhaus, J., Wentworth, D., Lundgren, J., Neaton, JD., van Manen, D., Gras, AL., Schuitemaker, H., van Wout AB., Reiss, P., Albini, L., Torti, C., Jacobson, LP., Li, X., Kingsley, LA., Carli, F., Guaraldi, G., Ford, ES., Sereti, I., Hadigan, C., Martinez, E., Arnedo-Valero, M., Egaña-Gorroño, L., Gatell, JM., Law, M., Bendall, C., Petoumenos, K., Rockstroh, J., Wasmuth, JC., Kabamba, K., Delforge, M., De Wit, S., Berger, F., Mauss, S., Sierra Mde, P., Losso, M., Belloso, WH., Leyes, M., Campins, A., Mondi, A., De Luca, A., Bernardino, I., Barriuso-Iglesias£££Mónica£££ M., Rodriguez, AT., Garcia, JG., Arribas, JR., Fanti, I., Gel, S., Puig, J., Negredo, E., Gutierrez, M., Domingo, P., Fischer, J., Fätkenheuer, G., Alonso-Villaverde, C., Macken, A., Woo, J., McGinty, T., Mallon, P., Mangili, A., Skinner, S., Wanke, CA., Aubert, V., Barth, J., Battegay, M., Bernasconi, E., Böni, J., Burton-Jeangros, C., Calmy, A., Cavassini, M., Egger, M., Elzi, L., Fehr, J., Francioli, P., Furrer, H., Fux, CA., Gorgievski, M., Günthard, H., Haerry, D., Hasse, B., Hirsch, HH., Hirschel, B., Hösli, I., Kahlert, C., Kaiser, L., Keiser, O., Kind, C., Klimkait, T., Kovari, H., Ledergerber, B., Martinetti, G., Martinez de Tejada, B., Metzner, K., Müller, N., Nadal, D., Pantaleo, G., Regenass, S., Rickenbach, M., Rudin, C., Schmid, P., Schultze, D., Schöni-Affolter, F., Schüpbach, J., Speck, R., Taffé, P., Tarr, P., Trkola, A., Vernazza, P., Prins, YS., Kuijpers, TW., Scherpbier, HJ., Boer, K., van der Meer JT., Wit, FW., Godfried, MH., van der Poll, T., Nellen, FJ., Lange, JM., Geerlings, SE., van Vugt, M., Vrouenraets, SM., Pajkrt, D., Bos, JC., van der Valk, M., Schreij, G., Lowe, S., Lashof, AO., Pronk, MJ., Bravenboer, B., van der Ende ME., de Vries-Sluijs TE., Schurink, CA., van der Feltz, M., Nouwen, JL., Gelinck, LB., Verbon, A., Rijnders, BJ., van de Ven-de Ruiter ED., Slobbe, L., Haag, D., Kauffmann, RH., Schippers, EF., Groeneveld, PH., Alleman, MA., Bouwhuis, JW., ten Kate RW., Soetekouw, R., Kroon, FP., van den Broek PJ., van Dissel JT., Arend, SM., van Nieuwkoop, C., de Boer MJ., Jolink, H., den Hollander JG., Pogany, K., Bronsveld, W., Kortmann, W., van Twillert, G., van Houte DP., Polée, MB., van Vonderen MG., ten Napel CH., Kootstra, GJ., Brinkman, K., Blok, WL., Frissen, PH., Schouten, WE., van den Berk GE., Juttmann, JR., van Kasteren ME., Brouwer, AE., Mulder, JW., van Gorp EC., Smit, PM., Weijer, S., van Eeden, A., Verhagen, DW., Sprenger, HG., Doedens, R., Scholvinck, EH., van Assen, S., Stek, CJ., Hoepelman, IM., Mudrikova, T., Schneider, MM., Jaspers, CA., Ellerbroek, PM., Peters, EJ., Maarschalk-Ellerbroek, LJ., Oosterheert, JJ., Arends, JE., Wassenberg, MW., van der Hilst JC., Richter, C., van der Berg JP., Gisolf, EH., Margolick, JB., Plankey, M., Crain, B., Dobs, A., Farzadegan, H., Gallant, J., Johnson-Hill, L., Sacktor, N., Selnes, O., Shepard, J., Thio, C., Phair, JP., Wolinsky, SM., Badri, S., Conover, C., O'Gorman, M., Ostrow, D., Palella, F., Ragin, A., Detels, R., Martínez-Maza, O., Aronow, A., Bolan, R., Breen, E., Butch, A., Fahey, J., Jamieson, B., Miller, EN., Oishi, J., Vinters, H., Visscher, BR., Wiley, D., Witt, M., Yang, O., Young, S., Zhang, ZF., Rinaldo, CR., Becker, JT., Cranston, RD., Martinson, JJ., Mellors, JW., Silvestre, AJ., Stall, RD., Muñoz, A., Abraham, A., Althoff, K., Cox, C., D'Souza, G., Gange, SJ., Golub, E., Schollenberger, J., Seaberg, EC., Su, S., Huebner, RE., Dominguez, G., Moroni, M., Angarano, G., Antinori, A., Carosi, G., Cauda, R., Monforte£££A d'Arminio£££ A., Di Perri, G., Galli, M., Iardino, R., Ippolito, G., Lazzarin, A., Perno, CF., Sagnelli, E., Viale, PL., Von Schlosser, F., d'Arminio Monforte, A., Ammassari, A., Andreoni, M., Balotta, C., Bonfanti, P., Bonora, S., Borderi, M., Capobianchi, MR., Castagna, A., Ceccherini-Silberstein, F., Cozzi-Lepri, A., Gargiulo, M., Gervasoni, C., Girardi, E., Lichtner, M., Lo Caputo, S., Madeddu, G., Maggiolo, F., Marcotullio, S., Monno, L., Murri, R., Mussini, C., Puoti, M., Formenti, T., Galli, L., Lorenzini, P., Montroni, M., Giacometti, A., Costantini, A., Riva, A., Tirelli, U., Martellotta, F., Ladisa, N., Lazzari, G., Verucchi, G., Castelli, F., Scalzini, A., Minardi, C., Bertelli, D., Quirino, T., Abeli, C., Manconi, PE., Piano, P., Vecchiet, J., Falasca, K., Carnevale, G., Lorenzotti, S., Sighinolfi, L., Segala, D., Leoncini, F., Mazzotta, F., Pozzi, M., Cassola, G., Viscoli, G., Viscoli, A., Piscopo, R., Mazzarello, G., Mastroianni, C., Belvisi, V., Caramma, I., Chiodera, A., Castelli, P., Rizzardini, G., Ridolfo, AL., Foschi, A., Salpietro, S., Galli, A., Bigoloni, A., Spagnuolo, V., Merli, S., Carenzi, L., Moioli, MC., Cicconi, P., Bisio, L., Gori, A., Lapadula, G., Abrescia, N., Chirianni, A., De Marco, M., Ferrari, C., Borghi, R., Baldelli, F., Belfiori, B., Parruti, G., Ursini, T., Magnani, G., Ursitti, MA., Narciso, P., Tozzi, V., Vullo, V., d'Avino, A., Zaccarelli, M., Gallo, L., Acinapura, R., Capozzi, M., Libertone, R., Trotta, MP., Tebano, G., Cattelan, AM., Mura, MS., Caramello, P., Orofino, GC., Sciandra, M., Raise, Ebo, F., Pellizzer, G., Manfrin, V., McManus, H., Wright, S., Moore, R., Edwards, S., Medische Microbiologie, RS: CAPHRI School for Public Health and Primary Care, AII - Amsterdam institute for Infection and Immunity, Experimental Immunology, Other departments, Graduate School, APH - Amsterdam Public Health, Global Health, Medical Microbiology and Infection Prevention, Paediatric Infectious Diseases / Rheumatology / Immunology, Other Research, Obstetrics and Gynaecology, Infectious diseases, General Internal Medicine, Center of Experimental and Molecular Medicine, University of Zurich, Tarr, Philip E, Rotger, M, Glass, T, Junier, T, Lundgren, J, Neaton, J, Poloni, E, Van 'T Wout, A, Lubomirov, R, Colombo, S, Martinez, R, Rauch, A, Günthard, H, Neuhaus, J, Wentworth, D, Van Manen, D, Gras, L, Schuitemaker, H, Albini, L, Torti, C, Jacobson, L, Li, X, Kingsley, L, Carli, F, Guaraldi, G, Ford, E, Sereti, I, Hadigan, C, Martinez, E, Arnedo, M, Egaña Gorroño, L, Gatell, J, Law, M, Bendall, C, Petoumenos, K, Rockstroh, J, Wasmuth, J, Kabamba, K, Delforge, M, De Wit, S, Berger, F, Mauss, S, De Paz Sierra, M, Losso, M, Belloso, W, Leyes, M, Campins, A, Mondi, A, De Luca, A, Bernardino, I, Barriuso Iglesias, M, Torrecilla Rodriguez, A, Gonzalez Garcia, J, Arribas, J, Fanti, I, Gel, S, Puig, J, Negredo, E, Gutierrez, M, Domingo, P, Fischer, J, Fätkenheuer, G, Alonso Villaverde, C, Macken, A, Woo, J, Mcginty, T, Mallon, P, Mangili, A, Skinner, S, Wanke, C, Reiss, P, Weber, R, Bucher, H, Fellay, J, Telenti, A, Tarr, P, Gori, A, Junier, Thomas, Poloni, Estella S., Rotger, Margalida, Glass, Tracy R., Junier, Thoma, Lundgren, Jen, Neaton, James D., Van 't Wout, Angã©lique B., Lubomirov, Rubin, Colombo, Sara, Martinez, Raquel, Rauch, Andri, Gã¼nthard, Huldrych F., Neuhaus, Jacqueline, Wentworth, Deborah, Van Manen, Danielle, Gras, Luuk A., Schuitemaker, Hanneke, Albini, Laura, Torti, Carlo, Jacobson, Lisa P., Li, Xiuhong, Kingsley, Lawrence A., Carli, Federica, Guaraldi, Giovanni, Ford, Emily S., Sereti, Irini, Hadigan, Colleen, Martinez, Esteban, Arnedo, Mireia, Egaã±a gorroã±o, Lander, Gatell, Jose M., Law, Matthew, Bendall, Courtney, Petoumenos, Kathy, Rockstroh, Jã¼rgen, Wasmuth, Jan christian, Kabamba, Kabeya, Delforge, Marc, De Wit, Stephane, Berger, Florian, Mauss, Stefan, De Paz Sierra, Mariana, Losso, Marcelo, Belloso, Waldo H., Leyes, Maria, Campins, Antoni, Mondi, Annalisa, De Luca, Andrea, Bernardino, Ignacio, Barriuso iglesias, Mã³nica, Torrecilla rodriguez, Ana, Gonzalez garcia, Juan, Arribas, Josã© R., Fanti, Iuri, Gel, Silvia, Puig, Jordi, Negredo, Eugenia, Gutierrez, Mar, Domingo, Pere, Fischer, Julia, Fã¤tkenheuer, Gerd, Alonso villaverde, Carlo, Macken, Alan, Woo, Jame, Mcginty, Tara, Mallon, Patrick, Mangili, Alexandra, Skinner, Sally, Wanke, Christine A., Reiss, Peter, Weber, Rainer, Bucher, Heiner C., Fellay, Jacque, Telenti, Amalio, Tarr, Philip E. Swiss Hiv Cohort, and Castagna, Antonella

Subjects
Male, HIV Infections, Genome-wide association study, 030204 cardiovascular system & hematology, 2726 Microbiology (medical), 10234 Clinic for Infectious Diseases, Coronary artery disease, 0302 clinical medicine, ddc:590, Risk Factors, Abacavir, 80 and over, genetics, 030212 general & internal medicine, Family history, Articles and Commentaries, Aged, 80 and over, education.field_of_study, medicine.diagnostic_test, traditional risk factor, Single Nucleotide, Middle Aged, 3. Good health, Infectious Diseases, traditional risk factors, Cohort, Female, HIV infection, antiretroviral therapy, coronary artery disease, Human, medicine.drug, Adult, Microbiology (medical), medicine.medical_specialty, Adolescent, Population, Infectious Disease, 610 Medicine & health, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Aged, Coronary Artery Disease, Humans, Polymorphism, Young Adult, 03 medical and health sciences, Internal medicine, medicine, education, Genetic testing, business.industry, Risk Factor, 2725 Infectious Diseases, Odds ratio, medicine.disease, Immunology, genetic, business
Abstract

BACKGROUND: Persons infected with human immunodeficiency virus (HIV) have increased rates of coronary artery disease (CAD). The relative contribution of genetic background, HIV-related factors, antiretroviral medications, and traditional risk factors to CAD has not been fully evaluated in the setting of HIV infection.METHODS: In the general population, 23 common single-nucleotide polymorphisms (SNPs) were shown to be associated with CAD through genome-wide association analysis. Using the Metabochip, we genotyped 1875 HIV-positive, white individuals enrolled in 24 HIV observational studies, including 571 participants with a first CAD event during the 9-year study period and 1304 controls matched on sex and cohort.RESULTS: A genetic risk score built from 23 CAD-associated SNPs contributed significantly to CAD (P = 2.9 × 10(-4)). In the final multivariable model, participants with an unfavorable genetic background (top genetic score quartile) had a CAD odds ratio (OR) of 1.47 (95% confidence interval [CI], 1.05-2.04). This effect was similar to hypertension (OR = 1.36; 95% CI, 1.06-1.73), hypercholesterolemia (OR = 1.51; 95% CI, 1.16-1.96), diabetes (OR = 1.66; 95% CI, 1.10-2.49), ≥ 1 year lopinavir exposure (OR = 1.36; 95% CI, 1.06-1.73), and current abacavir treatment (OR = 1.56; 95% CI, 1.17-2.07). The effect of the genetic risk score was additive to the effect of nongenetic CAD risk factors, and did not change after adjustment for family history of CAD.CONCLUSIONS: In the setting of HIV infection, the effect of an unfavorable genetic background was similar to traditional CAD risk factors and certain adverse antiretroviral exposures. Genetic testing may provide prognostic information complementary to family history of CAD.

Published
2013
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43. VISUOSPATIAL IMAGERY IN ALZHEIMER DISEASE

Author

James T. Becker, Dario Grossi, Luigi Trojano, Grossi, Dario, Becker, Jt, and Trojano, Luigi

Subjects
Male, Experimental and Cognitive Psychology, Neuropsychological Tests, 050105 experimental psychology, Task (project management), Central nervous system disease, 03 medical and health sciences, 0302 clinical medicine, Degenerative disease, Alzheimer Disease, Orientation, medicine, Humans, Attention, 0501 psychology and cognitive sciences, Aged, Aged, 80 and over, Working memory, 05 social sciences, Cognition, 030229 sport sciences, Middle Aged, medicine.disease, Sensory Systems, Memory, Short-Term, Imagination, Female, Alzheimer's disease, Psychology, Neuroscience, Psychomotor Performance, Cognitive psychology, Mental image
Abstract

The purpose of the present study was to investigate the imagery ability of 8 “probable” Alzheimer disease patients using a standard task sensitive to the disruption of the imagery system. These patients were selected based on their good performance on a prerequisite clock-setting task, and with 8 matched control subjects were then required to compare the angles made by the hands on clock faces using only imagined stimuli. There were no significant differences between patients and controls in performance on the clock-imagery task. These data are consistent with models of information processing which postulate the relationships between visual imagery and a short-term memory store and include a central executive system for allocation of cognitive resources.

Published
1994
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44. Novel Loci for Adiponectin Levels and Their Influence on Type 2 Diabetes and Metabolic Traits: A Multi-Ethnic Meta-Analysis of 45,891 Individuals

Author

Seppo Koskinen, Christian Herder, Daniel I. Chasman, Andrew R. Wood, Jonna L. Grimsby, J.F. Wilson, Day Inm., Massimo Mangino, Gonneke Willemsen, Robert W. Mahley, Cristian Pattaro, Nicole L. Glazer, T.B. Harris, Irene Pichler, M S Sandhu, D. van Heemst, Christine Proença, Martha Ganser, Robert A. Hegele, Richa Saxena, Eleftheria Zeggini, Markku Laakso, Peter Kraft, Judith B. Borja, Karen L. Mohlke, J B Richards, de Geus Ejc., Robert Sladek, Cristen J. Willer, Samy Hadjadj, S.M. Boekholdt, Gina M. Peloso, Kijoung Song, Sutapa Mukherjee, Gudmar Thorleifsson, Winston Hide, Mark I. McCarthy, Ruth E. Pakyz, Marian Beekman, Ayellet V. Segrè, Inga Prokopenko, Ping An, George Dedoussis, Danielle Posthuma, Jeanette Erdmann, Simon J. Griffin, Nilesh J. Samani, Inke R. König, Frank B. Hu, Lokki M-L., David M. Evans, Xiaohui Li, Valgerdur Steinthorsdottir, Aimo Ruokonen, A Pouta, Kerrin S. Small, Cecilia M. Lindgren, O Le Bacquer, Xijing Han, Florian Kronenberg, E Katsareli, Christian Dina, S. Gabriel, Jochen Spranger, James S. Pankow, M. Kloppenburg, Penninx Bwjh., Torben Hansen, Josh Smith, Jennie Hui, Gordon H. Williams, Mark Seielstad, Ingrid B. Borecki, Weihua Zhang, Peter P. Pramstaller, Stephen J. Sharp, Neil R. Robertson, Zee Ryl., Mike Sampson, Angela Silveira, C.M. van Duijn, Anders Hamsten, Peter Shrader, Denis Rybin, Chen Y-Di., Gunnar Sigurdsson, Michael Stumvoll, Russel Tracy, Mark O. Goodarzi, Göran Hallmans, Michael R. Erdos, Valeriya Lyssenko, Juha Saharinen, Sven Bergmann, Jeffrey R. O'Connell, Debbie A Lawlor, Thomas Meitinger, Yvonne Böttcher, Jérôme Delplanque, Sarah G. Buxbaum, Silvia Naitza, Shah Ebrahim, Graham A. Hitman, Angelo Scuteri, Aroon D. Hingorani, Heribert Schunkert, François Pattou, Claudia Lamina, A L Elliott, Sekar Kathiresan, Dawn M. Waterworth, Jennifer A. Brody, Thomas Quertermous, Leena Peltonen, Josephine M. Egan, Daniel J. Rader, J F Peden, Yarnell Jwg., Daniel S. Pearson, Pfeiffer Afh., P S Chines, N Vogelzangs, Susan Redline, Alka M. Kanaya, T B Harris, J. V. van Vliet-Ostaptchouk, Ghislain Rocheleau, Rune R. Frants, Olga D. Carlson, James G. Wilson, Melissa Garcia, Ong Rt-H., Mark J. Caulfield, Tanya M. Teslovich, Loo B-M., Beatrice Knight, Andreas Ziegler, Claudia Langenberg, Yoon Shin Cho, Paul M. Ridker, Mark J. Rieder, Praveen Sethupathy, Bert Bravenboer, J. Viikari, Matt Neville, Ioannis M. Stylianou, Andrew Walley, Jarvelin M-R., Jarred B. McAteer, Ronald M. Krauss, Augustine Kong, Oluf Pedersen, Mark J. Daly, Andrew P. Morris, Anna F. Dominiczak, Stéphane Cauchi, Michael Boehnke, Christopher J. O'Donnell, Barbara Thorand, Peter M. Nilsson, Aaron Isaacs, Deborah A. Nickerson, Roza Blagieva, Mary F. Feitosa, Nicholas J. Wareham, Robert Roberts, J S Kooner, K W van Dijk, Tiinamaija Tuomi, Paul Scheet, Lynda M. Rose, Albert V. Smith, Rafn Benediktsson, Chiara Sabatti, Candace Guiducci, Lee M. Kaplan, Aki S. Havulinna, Toby Johnson, Samuli Ripatti, Erik Ingelsson, Mario A. Morken, Carl G. P. Platou, Anke Tönjes, Qi Sun, Narisu Narisu, S J Bumpstead, Jose M. Ordovas, Alan B. Feranil, L Groop, P Chines, Sara M. Willems, Perry Jrb., Matthew A. Allison, Jan Scott, Cécile Lecoeur, Kastelein Jjp., Herman A. Taylor, Anyuan Cao, Christopher J. Groves, Lincoln D. Stein, Laura J. Scott, John Beilby, Kristin G. Ardlie, Christopher S. Franklin, Yoav Ben-Shlomo, B M Shields, N J Timpson, Marco Orrù, Amélie Bonnefond, Kiran Musunuru, Murielle Bochud, Udo Seedorf, Yongmei Liu, Guillaume Lettre, Lee J-Y., Alan R. Shuldiner, Ryan P. Welch, David J. Hunter, John Whitfield, Klaus Strassburger, Khaw K-T., Hartikainen A-L., Gunnar Sigurðsson, Lu Qi, Richard N. Bergman, G M Lathrop, Sigrid W. Fouchier, T van Herpt, David S. Siscovick, Igor Rudan, Richard M. Watanabe, Themistocles L. Assimes, Nicholas G. Martin, Ozren Polasek, Dhiraj Varma, K Kim, Oliver Hofmann, Nicholas D. Hastie, S Bumpstead, Jose C. Florez, Fernando Rivadeneira, Katharine R. Owen, Braxton D. Mitchell, Alisa K. Manning, Abbas Dehghan, Bruce Bartholow Duncan, Cisca Wijmenga, Timo T. Valle, Jaakko Kaprio, Mika Kivimäki, B Shields, Laila Simpson, Tim D. Spector, Paul W. Franks, Guangju Zhai, María Teresa Martínez-Larrad, Janssens Acjw., Kim L. Ward, Inês Barroso, Xiuqing Guo, Rosa Maria Roccasecca, Zari Dastani, Reijo Laaksonen, Wilmar Igl, Vincent Mooser, Niels Grarup, Cornelia Huth, Christian Gieger, Fabio Marroni, Jaakko Tuomilehto, Doney Asf., Andrew C. Edmondson, Christian Fuchsberger, Meena Kumari, David M. Nathan, Reedik Mägi, Solomon K. Musani, U de Faire, Knut Borch-Johnsen, Masahiro Koseki, Giuseppe Paolisso, Norman Klopp, Caroline S. Fox, Nelson B. Freimer, Mika Kähönen, Peter Henneman, Diana Zelenika, K Willems-Vandijk, Steven A. McCarroll, Paul Elliott, Wichmann H-E., J. C. Bis, Nita G. Forouhi, Antti Jula, Witteman Jcm., Fredrik Karpe, Joseph Hung, Antje Fischer-Rosinsky, Eric J. Brunner, Elena Gonzalez, Soumya Raychaudhuri, Jian'an Luan, Josée Dupuis, Joshua C. Randall, Taesung Park, Francis S. Collins, Lori L. Bonnycastle, Andrew A. Hicks, Peter Kovacs, Thomas Illig, Maja Barbalić, David Couper, Jaspal S. Kooner, Damien C. Croteau-Chonka, Gavin Lucas, P J Wagner, Young-Jin Kim, Yurii S. Aulchenko, Aurelian Bidulescu, Ingrid Meulenbelt, Pilar Galan, Iris M. Heid, Michael N. Weedon, Serena Sanna, Sarah H. Wild, Hivert M-F., Patricia B. Munroe, Johan G. Eriksson, Teresa Ferreira, Robert A. Scott, A. Sandbaek, Kenneth Rice, Veronique Vitart, Xin Yuan, Leslie A. Lange, Hilma Holm, Jorge R. Kizer, Timothy M. Frayling, Marika Kaakinen, Liu C-T., Petersen A-K., Peter Schwarz, G B Walters, Palmer Cna., Jean Tichet, Bernhard Paulweber, Ying Wu, Alyson Hall, Christopher T. Johansen, David Masson, Martin Ladouceur, Christie M. Ballantyne, Tai E-S., Robert Luben, Guillaume Charpentier, Angela Döring, Philip J. Barter, Ruth McPherson, Benjamin F. Voight, Wolfgang Rathmann, Mark Walker, Markus Perola, M. A. Province, Veikko Salomaa, James B. Meigs, George Davey Smith, Robert Clarke, Gerard Waeber, Stefania Bandinelli, Sally L. Ricketts, Kaisa Silander, Loos Rjf., Amanda J. Bennett, John C. Chambers, Marilyn C. Cornelis, L A Cupples, Andrew T. Hattersley, M Sandhu, Marju Orho-Melander, C M van Duijn, Olli T. Raitakari, David Meyre, Ida Surakka, Jouke-Jan Hottenga, Uh H-W., Kari Stefansson, David Melzer, P E Slagboom, Kristian Midthjell, Robert K. Semple, James P. Pirruccello, Aloysius G Lieverse, Åsa Johansson, Michael Roden, Felicity Payne, Eric J.G. Sijbrands, N P Burtt, David R. Hillman, Michael Marmot, Todd Green, Eric E. Schadt, Sijbrands Ejg., Tien Yin Wong, Coin Ljm., K B Boström, Olov Rolandsson, A D Morris, David Altshuler, Harald Grallert, L C Groop, Alan F. Wright, Karen Kapur, Xueling Sim, Philippe Froguel, K O Kyvik, T. Lauritzen, Linda S. Adair, Yavuz Ariyurek, Talin Haritunians, Toshiko Tanaka, Albert Hofman, MariaGrazia Franzosi, Nicholas L. Smith, Laura Crisponi, Andrew B. Singleton, A Uitterlinden, Bo Isomaa, Y A Kesaniemi, Anne U. Jackson, Christa Meisinger, Holly E. Syddall, Dorret I. Boomsma, Harry Campbell, Gonçalo R. Abecasis, Lyudmyla Kedenko, Christine Cavalcanti-Proença, G Crawford, Scott M. Grundy, Johnson Prv., Nuotio M-L., I Chen, J.H. Smit, Anuj Goel, M Li, David P. Strachan, Kenechi Ejebe, Beverley Balkau, Neelam Hassanali, Kristian Hveem, Pierre Meneton, R. Gwilliam, A J Swift, Caroline Hayward, J. Graessler, Carina Zabena, B. St Pourcain, Michel Marre, Margot Haun, Lyytikäinen L-P., Ben A. Oostra, Stefan Coassin, M. van Hoek, Nigel W. Rayner, John R. Thompson, Kurt Lohman, Ulla Sovio, Unnur Thorsteinsdottir, Naveed Sattar, Lyle J. Palmer, Ulf Gyllensten, A Elliott, Muredach P. Reilly, A Swift, Luigi Ferrucci, Syvänen A-C., Simon C. Potter, T.W. van Haeften, G Wu, Stefan Böhringer, Grant W. Montgomery, Edward G. Lakatta, Serkalem Demissie, Alex S. F. Doney, Najaf Amin, Lenore J. Launer, Hugh Watkins, Johanna Kuusisto, Lars Lind, Stefan R. Bornstein, Laura J. Rasmussen-Torvik, Terho Lehtimäki, Guillaume Paré, Sophie Visvikis-Siest, S C Heath, David Schlessinger, Juha Sinisalo, Kao Whl., Mark E. Cooper, Kati Kristiansson, Thomas W. Winkler, Thomas Sparsø, Laura J. McCulloch, Taina K. Lajunen, Alex N. Parker, Nabila Bouatia-Naji, Markku S. Nieminen, Peter Vollenweider, Wendy L. McArdle, G K Hovingh, Thomas A. Buchanan, Avan Aihie Sayer, M C Zillikens, Jing Hua Zhao, Naomi Hammond, Vilmundur Gudnason, Björn Zethelius, Panos Deloukas, Jacqueline C. M. Witteman, Eric Boerwinkle, Manuel Serrano-Ríos, Anna L. Gloyn, Katherine S. Elliott, A C Fedson, Torben Jørgensen, Nicole Soranzo, Heather M. Stringham, Bruce M. Psaty, A G Uitterlinden, Stavroula Kanoni, Christian Hengstenberg, Yun Li, Olle Melander, Alan R. Tall, Manuela Uda, Magnusson Pke., Christopher W. Kuzawa, V Mooser, R. M. van Dam, Jerome I. Rotter, Greenwood Cmt., Cyrus Cooper, Pau Navarro, Min Jin Go, Nancy L. Pedersen, Serge Hercberg, Bernhard O. Boehm, Eleanor Wheeler, Epidemiology, Medical Microbiology & Infectious Diseases, Clinical Genetics, Dastani, Z, Hivert, Mf, Timpson, N, Perry, Jr, Yuan, X, Scott, Ra, Henneman, P, Heid, Im, Kizer, Jr, Lyytikäinen, Lp, Fuchsberger, C, Tanaka, T, Morris, Ap, Small, K, Isaacs, A, Beekman, M, Coassin, S, Lohman, K, Qi, L, Kanoni, S, Pankow, J, Uh, Hw, Wu, Y, Bidulescu, A, Rasmussen Torvik, Lj, Greenwood, Cm, Ladouceur, M, Grimsby, J, Manning, Ak, Liu, Ct, Kooner, J, Mooser, Ve, Vollenweider, P, Kapur, Ka, Chambers, J, Wareham, Nj, Langenberg, C, Frants, R, Willems Vandijk, K, Oostra, Ba, Willems, Sm, Lamina, C, Winkler, Tw, Psaty, Bm, Tracy, Rp, Brody, J, Chen, I, Viikari, J, Kähönen, M, Pramstaller, Pp, Evans, Dm, St Pourcain, B, Sattar, N, Wood, Ar, Bandinelli, S, Carlson, Od, Egan, Jm, Böhringer, S, van Heemst, D, Kedenko, L, Kristiansson, K, Nuotio, Ml, Loo, Bm, Harris, T, Garcia, M, Kanaya, A, Haun, M, Klopp, N, Wichmann, He, Deloukas, P, Katsareli, E, Couper, Dj, Duncan, Bb, Kloppenburg, M, Adair, L, Borja, Jb, DIAGRAM+, Consortium, Magic, Consortium, Glgc, Investigator, Muther, Consortium, Wilson, Jg, Musani, S, Guo, X, Johnson, T, Semple, R, Teslovich, Tm, Allison, Ma, Redline, S, Buxbaum, Sg, Mohlke, Kl, Meulenbelt, I, Ballantyne, Cm, Dedoussis, Gv, Hu, Fb, Liu, Y, Paulweber, B, Spector, Td, Slagboom, Pe, Ferrucci, L, Jula, A, Perola, M, Raitakari, O, Florez, Jc, Salomaa, V, Eriksson, Jg, Frayling, Tm, Hicks, Aa, Lehtimäki, T, Smith, Gd, Siscovick, D, Kronenberg, F, van Duijn, C, Loos, Rj, Waterworth, Dm, Meigs, Jb, Dupuis, J, Richards, Jb, Voight, Bf, Scott, Lj, Steinthorsdottir, V, Dina, C, Welch, Rp, Zeggini, E, Huth, C, Aulchenko, Y, Thorleifsson, G, Mcculloch, Lj, Ferreira, T, Grallert, H, Amin, N, Wu, G, Willer, Cj, Raychaudhuri, S, Mccarroll, Sa, Hofmann, Om, Segrè, Av, van Hoek, M, Navarro, P, Ardlie, K, Balkau, B, Benediktsson, R, Bennett, Aj, Blagieva, R, Boerwinkle, E, Bonnycastle, Ll, Boström, Kb, Bravenboer, B, Bumpstead, S, Burtt, Np, Charpentier, G, Chines, P, Cornelis, M, Crawford, G, Doney, A, Elliott, K, Elliott, Al, Erdos, Mr, Fox, C, Franklin, C, Ganser, M, Gieger, C, Grarup, N, Green, T, Griffin, S, Groves, Cj, Guiducci, C, Hadjadj, S, Hassanali, N, Herder, C, Isomaa, B, Jackson, Au, Johnson, Pr, Jørgensen, T, Kao, Wh, Kong, A, Kraft, P, Kuusisto, J, Lauritzen, T, Li, M, Lieverse, A, Lindgren, Cm, Lyssenko, V, Marre, M, Meitinger, T, Midthjell, K, Morken, Ma, Narisu, N, Nilsson, P, Owen, Kr, Payne, F, Petersen, Ak, Platou, C, Proença, C, Prokopenko, I, Rathmann, W, Rayner, Nw, Robertson, Nr, Rocheleau, G, Roden, M, Sampson, Mj, Saxena, R, Shields, Bm, Shrader, P, Sigurdsson, G, Sparsø, T, Strassburger, K, Stringham, Hm, Sun, Q, Swift, Aj, Thorand, B, Tichet, J, Tuomi, T, van Dam, Rm, van Haeften, Tw, van Herpt, T, van Vliet Ostaptchouk, Jv, Walters, Gb, Weedon, Mn, Wijmenga, C, Witteman, J, Bergman, Rn, Cauchi, S, Collins, F, Gloyn, Al, Gyllensten, U, Hansen, T, Hide, Wa, Hitman, Ga, Hofman, A, Hunter, Dj, Hveem, K, Laakso, M, Morris, Ad, Palmer, Cn, Rudan, I, Sijbrands, E, Stein, Ld, Tuomilehto, J, Uitterlinden, A, Walker, M, Watanabe, Rm, Abecasis, Gr, Boehm, Bo, Campbell, H, Daly, Mj, Hattersley, At, Pedersen, O, Barroso, I, Groop, L, Sladek, R, Thorsteinsdottir, U, Wilson, Jf, Illig, T, Froguel, P, van Duijn, Cm, Stefansson, K, Altshuler, D, Boehnke, M, Mccarthy, Mi, Soranzo, N, Wheeler, E, Glazer, Nl, Bouatia Naji, N, Mägi, R, Randall, J, Elliott, P, Rybin, D, Dehghan, A, Hottenga, Jj, Song, K, Goel, A, Lajunen, T, Cavalcanti Proença, C, Kumari, M, Timpson, Nj, Zabena, C, Ingelsson, E, An, P, O'Connell, J, Luan, J, Elliott, A, Roccasecca, Rm, Pattou, F, Sethupathy, P, Ariyurek, Y, Barter, P, Beilby, Jp, Ben Shlomo, Y, Bergmann, S, Bochud, M, Bonnefond, A, Borch Johnsen, K, Böttcher, Y, Brunner, E, Bumpstead, Sj, Chen, Yd, Clarke, R, Coin, Lj, Cooper, Mn, Crisponi, L, Day, In, de Geus, Ej, Delplanque, J, Fedson, Ac, Fischer Rosinsky, A, Forouhi, Ng, Franzosi, Mg, Galan, P, Goodarzi, Mo, Graessler, J, Grundy, S, Gwilliam, R, Hallmans, G, Hammond, N, Han, X, Hartikainen, Al, Hayward, C, Heath, Sc, Hercberg, S, Hillman, Dr, Hingorani, Ad, Hui, J, Hung, J, Kaakinen, M, Kaprio, J, Kesaniemi, Ya, Kivimaki, M, Knight, B, Koskinen, S, Kovacs, P, Kyvik, Ko, Lathrop, Gm, Lawlor, Da, Le Bacquer, O, Lecoeur, C, Li, Y, Mahley, R, Mangino, M, Martínez Larrad, Mt, Mcateer, Jb, Mcpherson, R, Meisinger, C, Melzer, D, Meyre, D, Mitchell, Bd, Mukherjee, S, Naitza, S, Neville, Mj, Orrù, M, Pakyz, R, Paolisso, Giuseppe, Pattaro, C, Pearson, D, Peden, Jf, Pedersen, Nl, Pfeiffer, Af, Pichler, I, Polasek, O, Posthuma, D, Potter, Sc, Pouta, A, Province, Ma, Rice, K, Ripatti, S, Rivadeneira, F, Rolandsson, O, Sandbaek, A, Sandhu, M, Sanna, S, Sayer, Aa, Scheet, P, Seedorf, U, Sharp, Sj, Shields, B, Sigurðsson, G, Sijbrands, Ej, Silveira, A, Simpson, L, Singleton, A, Smith, Nl, Sovio, U, Swift, A, Syddall, H, Syvänen, Ac, Tönjes, A, Uitterlinden, Ag, van Dijk, Kw, Varma, D, Visvikis Siest, S, Vitart, V, Vogelzangs, N, Waeber, G, Wagner, Pj, Walley, A, Ward, Kl, Watkins, H, Wild, Sh, Willemsen, G, Witteman, Jc, Yarnell, Jw, Zelenika, D, Zethelius, B, Zhai, G, Zhao, Jh, Zillikens, Mc, Diagram, Consortium, Giant, Consortium, Global B., Pgen Consortium, Borecki, Ib, Meneton, P, Magnusson, Pk, Nathan, Dm, Williams, Gh, Silander, K, Bornstein, Sr, Schwarz, P, Spranger, J, Karpe, F, Shuldiner, Ar, Cooper, C, Serrano Ríos, M, Lind, L, Palmer, Lj, Hu FB, 1st, Franks, Pw, Ebrahim, S, Marmot, M, Wright, Af, Stumvoll, M, Hamsten, A, Procardis, Consortium, Buchanan, Ta, Valle, Tt, Rotter, Ji, Penninx, Bw, Boomsma, Di, Cao, A, Scuteri, A, Schlessinger, D, Uda, M, Ruokonen, A, Jarvelin, Mr, Peltonen, L, Mooser, V, Magic, Investigator, Glgc, Consortium, Musunuru, K, Smith, Av, Edmondson, Ac, Stylianou, Im, Koseki, M, Pirruccello, Jp, Chasman, Di, Johansen, Ct, Fouchier, Sw, Peloso, Gm, Barbalic, M, Ricketts, Sl, Bis, Jc, Feitosa, Mf, Orho Melander, M, Melander, O, Li, X, Cho, Y, Go, Mj, Kim, Yj, Lee, Jy, Park, T, Kim, K, Sim, X, Ong, Rt, Croteau Chonka, Dc, Lange, La, Smith, Jd, Ziegler, A, Zhang, W, Zee, Ry, Whitfield, Jb, Thompson, Jr, Surakka, I, Smit, Jh, Sinisalo, J, Scott, J, Saharinen, J, Sabatti, C, Rose, Lm, Roberts, R, Rieder, M, Parker, An, Pare, G, O'Donnell, Cj, Nieminen, M, Nickerson, Da, Montgomery, Gw, Mcardle, W, Masson, D, Martin, Ng, Marroni, F, Lucas, G, Luben, R, Lokki, Ml, Lettre, G, Launer, Lj, Lakatta, Eg, Laaksonen, R, König, Ir, Khaw, Kt, Kaplan, Lm, Johansson, Å, Janssens, Ac, Igl, W, Hovingh, Gk, Hengstenberg, C, Havulinna, A, Hastie, Nd, Harris, Tb, Haritunians, T, Hall, A, Groop, Lc, Gonzalez, E, Freimer, Nb, Erdmann, J, Ejebe, Kg, Döring, A, Dominiczak, Af, Demissie, S, de Faire, U, Caulfield, Mj, Boekholdt, Sm, Assimes, Tl, Quertermous, T, Seielstad, M, Wong, Ty, Tai, E, Feranil, Ab, Kuzawa, Cw, Taylor HA, Jr, Gabriel, Sb, Holm, H, Gudnason, V, Krauss, Rm, Ordovas, Jm, Munroe, Pb, Tall, Ar, Hegele, Ra, Kastelein, Jj, Schadt, Ee, Strachan, Dp, Reilly, Mp, Samani, Nj, Schunkert, H, Cupples, La, Ridker, Pm, Rader, Dj, Kathiresan, S., Medical Research Council (MRC), Perry, John [0000-0001-6483-3771], Wareham, Nicholas [0000-0003-1422-2993], Langenberg, Claudia [0000-0002-5017-7344], Semple, Robert [0000-0001-6539-3069], Griffin, Simon [0000-0002-2157-4797], Barroso, Ines [0000-0001-5800-4520], Soranzo, Nicole [0000-0003-1095-3852], Wheeler, Eleanor [0000-0002-8616-6444], Luan, Jian'an [0000-0003-3137-6337], Forouhi, Nita [0000-0002-5041-248X], Sharp, Stephen [0000-0003-2375-1440], Sovio, Ulla [0000-0002-0799-1105], Zhao, Jing Hua [0000-0003-4930-3582], Luben, Robert [0000-0002-5088-6343], Khaw, Kay-Tee [0000-0002-8802-2903], Sandhu, Manjinder [0000-0002-2725-142X], Apollo - University of Cambridge Repository, Biological Psychology, Functional Genomics, Neuroscience Campus Amsterdam - Attention & Cognition, EMGO+ - Lifestyle, Overweight and Diabetes, Other departments, Experimental Vascular Medicine, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Cardiology, Human genetics, Psychiatry, NCA - Attention & Cognition, EMGO - Lifestyle, overweight and diabetes, Lääketieteen yksikkö - School of Medicine, University of Tampere, Institute for Molecular Medicine Finland, Hjelt Institute (-2014), Clinicum, Department of General Practice and Primary Health Care, Department of Public Health, Haartman Institute (-2014), Transplantation Laboratory, Biostatistics Helsinki, Quantitative Genetics, Complex Disease Genetics, Genetic Epidemiology, DIAGRAM+ Consortium, MAGIC Consortium, GLGC Investigators, MuTHER Consortium, DIAGRAM Consortium, GIANT Consortium, Global B Pgen Consortium, Procardis Consortium, MAGIC investigators, GLGC Consortium, Olson, J., Kronmal, R., Robbins, J., Chaves, PH., Burke, G., Kuller, LH., Tracy, R., Gottdiener, J., Prineas, R., Becker, JT., Enright, P., Klein, R., and O'Leary, DH.

Subjects
Netherlands Twin Register (NTR), Male, Insulin Resistance/genetics, VARIANTS, 0302 clinical medicine, POPULATION, African Americans, blood/genetics, 0303 health sciences, education.field_of_study, Adiponectin/blood, Adiponectin/genetics, Asian Continental Ancestry Group, Cholesterol, HDL/genetics, Diabetes Mellitus, Type 2/genetics, European Continental Ancestry Group, Female, Gene Expression, Genetic Predisposition to Disease, Genome-Wide Association Study, Glucose Tolerance Test, Humans, Metabolic Networks and Pathways, Polymorphism, Single Nucleotide, Waist-Hip Ratio, Global B Pgen Consortium, MAGIC investigators, 3. Good health, Cholesterol, Medicine, Adiponectin, Type 2, medicine.medical_specialty, HDL, Biolääketieteet - Biomedicine, Single-nucleotide polymorphism, DIAGRAM Consortium, White People, Molecular Genetics, GLGC Consortium, 03 medical and health sciences, Asian People, SDG 3 - Good Health and Well-being, GIANT Consortium, Diabetes Mellitus, Genetics, DIAGRAM+ Consortium, GENOME-WIDE ASSOCIATION, Polymorphism, education, Biology, Molecular Biology, Ecology, Evolution, Behavior and Systematics, 0604 Genetics, Science & Technology, GLGC Investigators, nutritional and metabolic diseases, ta3121, medicine.disease, Obesity, Black or African American, blood/genetics, African Americans, Asian Continental Ancestry Group, Cholesterol, genetics, Diabetes Mellitus, genetics, European Continental Ancestry Group, Female, Gene Expression, Genetic Predisposition to Disease, Genome-Wide Association Study, Glucose Tolerance Test, Humans, Insulin Resistance, genetics, Male, Metabolic Networks and Pathways, Polymorphism, Single Nucleotide, Waist-Hip Ratio, Endocrinology, Diabetes Mellitus, Type 2, Developmental Biology, Type 2/genetics, Cancer Research, Type 2 diabetes, QH426-470, 030204 cardiovascular system & hematology, LIPID CONCENTRATIONS, GENETICS & HEREDITY, Genetics (clinical), RISK, 2. Zero hunger, INSULIN-RESISTANCE, Glucose tolerance test, medicine.diagnostic_test, MAGIC Consortium, Single Nucleotide, ADIPOSE-TISSUE, CORONARY-ARTERY-DISEASE, Life Sciences & Biomedicine, Research Article, Clinical Research Design, GENETIC-BASIS, Population, Insulin resistance, Internal medicine, Diabetes mellitus, medicine, ddc:610, 030304 developmental biology, RECEPTOR, Cholesterol, HDL, Human Genetics, HDL/genetics, 3121 General medicine, internal medicine and other clinical medicine, MuTHER Consortium, 3111 Biomedicine, Procardis Consortium, Insulin Resistance
Abstract

Circulating levels of adiponectin, a hormone produced predominantly by adipocytes, are highly heritable and are inversely associated with type 2 diabetes mellitus (T2D) and other metabolic traits. We conducted a meta-analysis of genome-wide association studies in 39,883 individuals of European ancestry to identify genes associated with metabolic disease. We identified 8 novel loci associated with adiponectin levels and confirmed 2 previously reported loci (P = 4.5×10−8–1.2×10−43). Using a novel method to combine data across ethnicities (N = 4,232 African Americans, N = 1,776 Asians, and N = 29,347 Europeans), we identified two additional novel loci. Expression analyses of 436 human adipocyte samples revealed that mRNA levels of 18 genes at candidate regions were associated with adiponectin concentrations after accounting for multiple testing (p, Author Summary Serum adiponectin levels are highly heritable and are inversely correlated with the risk of type 2 diabetes (T2D), coronary artery disease, stroke, and several metabolic traits. To identify common genetic variants associated with adiponectin levels and risk of T2D and metabolic traits, we conducted a meta-analysis of genome-wide association studies of 45,891 multi-ethnic individuals. In addition to confirming that variants at the ADIPOQ and CDH13 loci influence adiponectin levels, our analyses revealed that 10 new loci also affecting circulating adiponectin levels. We demonstrated that expression levels of several genes in these candidate regions are associated with serum adiponectin levels. Using a powerful novel method to assess the contribution of the identified variants with other traits using summary-level results from large-scale GWAS consortia, we provide evidence that the risk alleles for adiponectin are associated with deleterious changes in T2D risk and metabolic syndrome traits (triglycerides, HDL, post-prandial glucose, insulin, and waist-to-hip ratio), demonstrating that the identified loci, taken together, impact upon metabolic disease.

Published
2012
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45. People with HIV exhibit spectrally distinct patterns of rhythmic cortical activity serving cognitive flexibility.

Author

Landler KK, Schantell M, Glesinger R, Horne LK, Embury CM, Son JJ, Arif Y, Coutant AT, Garrison GM, McDonald KM, John JA, Okelberry HJ, Ward TW, Killanin AD, Kubat M, Furl RA, O'Neill J, Bares SH, May-Weeks PE, Becker JT, and Wilson TW

Subjects
Humans, Middle Aged, Male, Adult, Female, Aged, Cognition physiology, Executive Function physiology, Cerebral Cortex, Brain Waves physiology, Neuropsychological Tests, Magnetoencephalography methods, HIV Infections drug therapy, HIV Infections physiopathology
Abstract

Despite effective antiretroviral therapy, cognitive impairment remains prevalent among people with HIV (PWH) and decrements in executive function are particularly prominent. One component of executive function is cognitive flexibility, which integrates a variety of executive functions to dynamically adapt one's behavior in response to changing contextual demands. Though substantial work has illuminated HIV-related aberrations in brain function, it remains unclear how the neural oscillatory dynamics serving cognitive flexibility are affected by HIV-related alterations in neural functioning. Herein, 149 participants (PWH: 74; seronegative controls: 75) between the ages of 29-76 years completed a perceptual feature matching task that probes cognitive flexibility during high-density magnetoencephalography (MEG). Neural responses were decomposed into the time-frequency domain and significant oscillatory responses in the theta (4-8 Hz), alpha (10-16 Hz), and gamma (74-98 Hz) spectral windows were imaged using a beamforming approach. Whole-brain voxel-wise comparisons were then conducted on these dynamic functional maps to identify HIV-related differences in the neural oscillatory dynamics supporting cognitive flexibility. Our findings indicated group differences in alpha oscillatory activity in the cingulo-opercular cortices, and differences in gamma activity were found in the cerebellum. Across all participants, alpha and gamma activity in these regions were associated with performance on the cognitive flexibility task. Further, PWH who had been treated with antiretroviral therapy for a longer duration and those with higher current CD4 counts had alpha responses that more closely resembled those of seronegative controls, suggesting that optimal clinical management of HIV infection is associated with preserved neural dynamics supporting cognitive flexibility., Competing Interests: Declaration of competing interest SHB reports scientific advisory to Gilead Sciences and research grants to her institution from ViiV Healthcare and Janssen. All other authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Published
2024
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46. Prospective Longitudinal Perfusion in Probable Alzheimer's Disease Correlated with Atrophy in Temporal Lobe.

Author

Zhou TD, Zhang Z, Balachandrasekaran A, Raji CA, Becker JT, Kuller LH, Ge Y, Lopez OL, Dai W, and Gach HM

Subjects
Humans, Male, Female, Aged, Prospective Studies, Gray Matter pathology, Gray Matter diagnostic imaging, Gray Matter blood supply, Aged, 80 and over, Longitudinal Studies, Alzheimer Disease pathology, Alzheimer Disease diagnostic imaging, Alzheimer Disease physiopathology, Temporal Lobe pathology, Temporal Lobe diagnostic imaging, Temporal Lobe physiopathology, Temporal Lobe blood supply, Atrophy pathology, Cerebrovascular Circulation physiology, Magnetic Resonance Imaging, Cognitive Dysfunction pathology, Cognitive Dysfunction diagnostic imaging, Cognitive Dysfunction physiopathology
Abstract

Reduced cerebral blood flow (CBF) in the temporoparietal region and gray matter volumes (GMVs) in the temporal lobe were previously reported in patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD). However, the temporal relationship between reductions in CBF and GMVs requires further investigation. This study sought to determine if reduced CBF is associated with reduced GMVs, or vice versa. Data came from 148 volunteers of the Cardiovascular Health Study Cognition Study (CHS-CS), including 58 normal controls (NC), 50 MCI, and 40 AD who had perfusion and structural MRIs during 2002-2003 (Time 2). Sixty-three of the 148 volunteers had follow-up perfusion and structural MRIs (Time 3). Forty out of the 63 volunteers received prior structural MRIs during 1997-1999 (Time 1). The relationships between GMVs and subsequent CBF changes, and between CBF and subsequent GMV changes were investigated. At Time 2, we observed smaller GMVs (p<0.05) in the temporal pole region in AD compared to NC and MCI. We also found associations between: (1) temporal pole GMVs at Time 2 and subsequent declines in CBF in this region (p=0.0014) and in the temporoparietal region (p=0.0032); (2) hippocampal GMVs at Time 2 and subsequent declines in CBF in the temporoparietal region (p=0.012); and (3) temporal pole CBF at Time 2 and subsequent changes in GMV in this region (p = 0.011). Therefore, hypoperfusion in the temporal pole may be an early event driving its atrophy. Perfusion declines in the temporoparietal and temporal pole follow atrophy in this temporal pole region.

Published
2024
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47. Apolipoprotein E and Alzheimer's disease pathology in African American older adults.

Author

Royse SK, Snitz BE, Hill AV, Reese AC, Roush RE, Kamboh MI, Bertolet M, Saeed A, Lopresti BJ, Villemagne VL, Lopez OL, Reis SE, Becker JT, and Cohen AD

Subjects
Aged, Aged, 80 and over, Female, Humans, Male, Alleles, Apolipoprotein E4 genetics, Apolipoproteins E genetics, Brain diagnostic imaging, Brain pathology, Genetic Association Studies, White, Alzheimer Disease genetics, Alzheimer Disease pathology, Amyloid beta-Peptides metabolism, Black or African American genetics, Positron-Emission Tomography, tau Proteins genetics
Abstract

The apolipoprotein-E4 (APOE*4) and apolipoprotein-E2 (APOE*2) alleles are more common in African American versus non-Hispanic white populations, but relationships of both alleles with Alzheimer's disease (AD) pathology among African American individuals are unclear. We measured APOE allele and β-amyloid (Aβ) and tau using blood samples and positron emission tomography (PET) images, respectively. Individual regression models tested associations of each APOE allele with Aβ or tau PET overall, stratified by racialized group, and with a racialized group interaction. We included 358 older adults (42% African American) with Aβ PET, 134 (29% African American) of whom had tau PET. APOE*4 was associated with higher Aβ in non-Hispanic white (P < 0.0001), but not African American (P = 0.64) participants; racialized group modified the association between APOE*4 and Aβ (P < 0.0001). There were no other racialized group differences. These results suggest that the association of APOE*4 and Aβ differs between African American and non-Hispanic white populations. Other drivers of AD pathology in African American populations should be identified as potential therapeutic targets., Competing Interests: Declaration of Competing Interest None., (Copyright © 2024. Published by Elsevier Inc.)

Published
2024
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48. Unhealthy white matter connectivity, cognition, and racialization in older adults.

Author

Royse SK, Snitz BE, Hengenius JB, Huppert TJ, Roush RE, Ehrenkranz RE, Wilson JD, Bertolet M, Reese AC, Cisneros G, Potopenko K, Becker JT, Cohen AD, and Shaaban CE

Subjects
Humans, Aged, Magnetic Resonance Imaging, Cognition, Brain metabolism, Amyloid beta-Peptides metabolism, White Matter metabolism, Alzheimer Disease complications, Cognitive Dysfunction complications
Abstract

Introduction: White matter hyperintensities (WMH) may promote clinical Alzheimer's disease (AD) disparities between Black American (BA) and non-Hispanic White (nHW) populations. Using a novel measurement, unhealthy white matter connectivity (UWMC), we interrogated racialized group differences in associations between WMH in AD pathology-affected regions and cognition., Methods: UWMC is the proportion of white matter fibers that pass through WMH for every pair of brain regions. Individual regression models tested associations of UWMC in beta-amyloid (Aβ) or tau pathology-affected regions with cognition overall, stratified by racialized group, and with a racialized group interaction., Results: In 201 older adults ranging from cognitively unimpaired to AD, BA participants exhibited greater UWMC and worse cognition than nHW participants. UWMC was negatively associated with cognition in 17 and 5 Aβ- and tau-affected regions, respectively. Racialization did not modify these relationships., Discussion: Differential UWMC burden, not differential UWMC-and-cognition associations, may drive clinical AD disparities between racialized groups., Highlights: Unhealthy white matter connectivity (UWMC) in Alzheimer's disease (AD) pathology-affected brain regions is associated with cognition. Relationships between UWMC and cognition are similar between Black American (BA) and non-Hispanic White (nHW) individuals. More UWMC may partially drive higher clinical AD burden in BA versus nHW populations. UWMC risk factors, particularly social and environmental, should be identified., (© 2023 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.)

Published
2024
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49. Mitochondrial double-stranded RNA triggers induction of the antiviral DNA deaminase APOBEC3A and nuclear DNA damage.

Author

Wick C, Moghadasi SA, Becker JT, Fanunza E, Oh S, Bournique E, Buisson R, and Harris RS

Subjects
Humans, DNA, RNA, Mitochondrial genetics, DNA Damage, Neoplasms genetics, RNA, Double-Stranded genetics, Cytidine Deaminase genetics
Abstract

APOBEC3A is an antiviral DNA deaminase often induced by virus infection. APOBEC3A is also a source of cancer mutation in viral and nonviral tumor types. It is therefore critical to identify factors responsible for APOBEC3A upregulation. Here, we test the hypothesis that leaked mitochondrial (mt) double-stranded (ds)RNA is recognized as foreign nucleic acid, which triggers innate immune signaling, APOBEC3A upregulation, and DNA damage. Knockdown of an enzyme responsible for degrading mtdsRNA, the exoribonuclease polynucleotide phosphorylase, results in mtdsRNA leakage into the cytosol and induction of APOBEC3A expression. APOBEC3A upregulation by cytoplasmic mtdsRNA requires RIG-I, MAVS, and STAT2 and is likely part of a broader type I interferon response. Importantly, although mtdsRNA-induced APOBEC3A appears cytoplasmic by subcellular fractionation experiments, its induction triggers an overt DNA damage response characterized by elevated nuclear γ-H2AX staining. Thus, mtdsRNA dysregulation may induce APOBEC3A and contribute to observed genomic instability and mutation signatures in cancer., Competing Interests: Conflict of interest The authors declare that they have no conflicts of interest with the contents of this article., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Published
2023
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50. Multi-ancestry genome-wide meta-analysis of 56,241 individuals identifies LRRC4C, LHX5-AS1 and nominates ancestry-specific loci PTPRK , GRB14 , and KIAA0825 as novel risk loci for Alzheimer's disease: the Alzheimer's Disease Genetics Consortium.

Author

Rajabli F, Benchek P, Tosto G, Kushch N, Sha J, Bazemore K, Zhu C, Lee WP, Haut J, Hamilton-Nelson KL, Wheeler NR, Zhao Y, Farrell JJ, Grunin MA, Leung YY, Kuksa PP, Li D, Lucio da Fonseca E, Mez JB, Palmer EL, Pillai J, Sherva RM, Song YE, Zhang X, Iqbal T, Pathak O, Valladares O, Kuzma AB, Abner E, Adams PM, Aguirre A, Albert MS, Albin RL, Allen M, Alvarez L, Apostolova LG, Arnold SE, Asthana S, Atwood CS, Ayres G, Baldwin CT, Barber RC, Barnes LL, Barral S, Beach TG, Becker JT, Beecham GW, Beekly D, Benitez BA, Bennett D, Bertelson J, Bird TD, Blacker D, Boeve BF, Bowen JD, Boxer A, Brewer J, Burke JR, Burns JM, Buxbaum JD, Cairns NJ, Cantwell LB, Cao C, Carlson CS, Carlsson CM, Carney RM, Carrasquillo MM, Chasse S, Chesselet MF, Chin NA, Chui HC, Chung J, Craft S, Crane PK, Cribbs DH, Crocco EA, Cruchaga C, Cuccaro ML, Cullum M, Darby E, Davis B, De Jager PL, DeCarli C, DeToledo J, Dick M, Dickson DW, Dombroski BA, Doody RS, Duara R, Ertekin-Taner N, Evans DA, Faber KM, Fairchild TJ, Fallon KB, Fardo DW, Farlow MR, Fernandez-Hernandez V, Ferris S, Foroud TM, Frosch MP, Fulton-Howard B, Galasko DR, Gamboa A, Gearing M, Geschwind DH, Ghetti B, Gilbert JR, Goate AM, Grabowski TJ, Graff-Radford NR, Green RC, Growdon JH, Hakonarson H, Hall J, Hamilton RL, Harari O, Hardy J, Harrell LE, Head E, Henderson VW, Hernandez M, Hohman T, Honig LS, Huebinger RM, Huentelman MJ, Hulette CM, Hyman BT, Hynan LS, Ibanez L, Jarvik GP, Jayadev S, Jin LW, Johnson K, Johnson L, Kamboh MI, Karydas AM, Katz MJ, Kauwe JS, Kaye JA, Keene CD, Khaleeq A, Kim R, Knebl J, Kowall NW, Kramer JH, Kukull WA, LaFerla FM, Lah JJ, Larson EB, Lerner A, Leverenz JB, Levey AI, Lieberman AP, Lipton RB, Logue M, Lopez OL, Lunetta KL, Lyketsos CG, Mains D, Margaret FE, Marson DC, Martin ERR, Martiniuk F, Mash DC, Masliah E, Massman P, Masurkar A, McCormick WC, McCurry SM, McDavid AN, McDonough S, McKee AC, Mesulam M, Miller BL, Miller CA, Miller JW, Montine TJ, Monuki ES, Morris JC, Mukherjee S, Myers AJ, Nguyen T, O'Bryant S, Olichney JM, Ory M, Palmer R, Parisi JE, Paulson HL, Pavlik V, Paydarfar D, Perez V, Peskind E, Petersen RC, Pierce A, Polk M, Poon WW, Potter H, Qu L, Quiceno M, Quinn JF, Raj A, Raskind M, Reiman EM, Reisberg B, Reisch JS, Ringman JM, Roberson ED, Rodriguear M, Rogaeva E, Rosen HJ, Rosenberg RN, Royall DR, Sager MA, Sano M, Saykin AJ, Schneider JA, Schneider LS, Seeley WW, Slifer SH, Small S, Smith AG, Smith JP, Sonnen JA, Spina S, St George-Hyslop P, Stern RA, Stevens AB, Strittmatter SM, Sultzer D, Swerdlow RH, Tanzi RE, Tilson JL, Trojanowski JQ, Troncoso JC, Tsuang DW, Van Deerlin VM, van Eldik LJ, Vance JM, Vardarajan BN, Vassar R, Vinters HV, Vonsattel JP, Weintraub S, Welsh-Bohmer KA, Whitehead PL, Wijsman EM, Wilhelmsen KC, Williams B, Williamson J, Wilms H, Wingo TS, Wisniewski T, Woltjer RL, Woon M, Wright CB, Wu CK, Younkin SG, Yu CE, Yu L, Zhu X, Kunkle BW, Bush WS, Wang LS, Farrer LA, Haines JL, Mayeux R, Pericak-Vance MA, Schellenberg GD, Jun GR, Reitz C, and Naj AC

Abstract

Limited ancestral diversity has impaired our ability to detect risk variants more prevalent in non-European ancestry groups in genome-wide association studies (GWAS). We constructed and analyzed a multi-ancestry GWAS dataset in the Alzheimer's Disease (AD) Genetics Consortium (ADGC) to test for novel shared and ancestry-specific AD susceptibility loci and evaluate underlying genetic architecture in 37,382 non-Hispanic White (NHW), 6,728 African American, 8,899 Hispanic (HIS), and 3,232 East Asian individuals, performing within-ancestry fixed-effects meta-analysis followed by a cross-ancestry random-effects meta-analysis. We identified 13 loci with cross-ancestry associations including known loci at/near CR1 , BIN1 , TREM2 , CD2AP , PTK2B , CLU , SHARPIN , MS4A6A , PICALM , ABCA7 , APOE and two novel loci not previously reported at 11p12 ( LRRC4C ) and 12q24.13 ( LHX5-AS1 ). Reflecting the power of diverse ancestry in GWAS, we observed the SHARPIN locus using 7.1% the sample size of the original discovering single-ancestry GWAS (n=788,989). We additionally identified three GWS ancestry-specific loci at/near ( PTPRK ( P =2.4×10 -8 ) and GRB14 ( P =1.7×10 -8 ) in HIS), and KIAA0825 ( P =2.9×10 -8 in NHW). Pathway analysis implicated multiple amyloid regulation pathways (strongest with P adjusted =1.6×10 -4 ) and the classical complement pathway ( P adjusted =1.3×10 -3 ). Genes at/near our novel loci have known roles in neuronal development ( LRRC4C, LHX5-AS1 , and PTPRK ) and insulin receptor activity regulation ( GRB14 ). These findings provide compelling support for using traditionally-underrepresented populations for gene discovery, even with smaller sample sizes.

Published
2023
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