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1. Admixture mapping of cognitive function in diverse Hispanic and Latino adults: Results from the Hispanic Community Health Study/Study of Latinos.

Author

Xia, Rui, Jian, Xueqiu, Rodrigue, Amanda, Bressler, Jan, Boerwinkle, Eric, Cui, Biqi, Daviglus, Martha, Decarli, Charles, Gallo, Linda, Glahn, David, Knowles, Emma, Moon, Jee-Young, Mosley, Thomas, Satizabal, Claudia, Sofer, Tamar, Tarraf, Wassim, Testai, Fernando, Blangero, John, Seshadri, Sudha, González, Hector, and Fornage, Myriam

Subjects
Hispanic/Latino, admixture mapping, cognitive abilities, gene mapping, genetics, neurocognitive function, Adult, Aged, Female, Humans, Male, Middle Aged, Cognition, Genome-Wide Association Study, Hispanic or Latino, Neuropsychological Tests, Polymorphism, Single Nucleotide
Abstract

INTRODUCTION: We conducted admixture mapping and fine-mapping analyses to identify ancestry-of-origin loci influencing cognitive abilities. METHODS: We estimated the association of local ancestry intervals across the genome with five neurocognitive measures in 7140 diverse Hispanic and Latino adults (mean age 55 years). We prioritized genetic variants in associated loci and tested them for replication in four independent cohorts. RESULTS: We identified nine local ancestry-associated regions for the five neurocognitive measures. There was strong biological support for the observed associations to cognitive function at all loci and there was statistical evidence of independent replication at 4q12, 9p22.1, and 13q12.13. DISCUSSION: Our study identified multiple novel loci harboring genes implicated in cognitive functioning and dementia, and uncovered ancestry-relevant genetic variants. It adds to our understanding of the genetic architecture of cognitive function in Hispanic and Latino adults and demonstrates the power of admixture mapping to discover unique haplotypes influencing cognitive function, complementing genome-wide association studies. HIGHLIGHTS: We identified nine ancestry-of-origin chromosomal regions associated with five neurocognitive traits. In each associated region, we identified single nucleotide polymorphisms (SNPs) that explained, at least in part, the admixture signal and were tested for replication in independent samples of Black, non-Hispanic White, and Hispanic/Latino adults with the same or similar neurocognitive tests. Statistical evidence of independent replication of the prioritized SNPs was observed for three of the nine associations, at chr4q12, chr9p22.1, and chr13q12.13. At all loci, there was strong biological support for the observed associations to cognitive function and dementia, prioritizing genes such as KIT, implicated in autophagic clearance of neurotoxic proteins and on mast cell and microglial-mediated inflammation; SLC24A2, implicated in synaptic plasticity associated with learning and memory; and MTMR6, implicated in phosphoinositide lipids metabolism.

Published
2024

2. Metabolomic profiles in Jamaican children with and without autism spectrum disorder

Author

Yazdani, Akram, Samms-Vaughan, Maureen, Saroukhani, Sepideh, Bressler, Jan, Hessabi, Manouchehr, Tahanan, Amirali, Grove, Megan L., Gangnus, Tanja, Putluri, Vasanta, Kamal, Abu Hena Mostafa, Putluri, Nagireddy, Loveland, Katherine A., and Rahbar, Mohammad H.

Subjects
Quantitative Biology - Biomolecules
Abstract

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition with a wide range of behavioral and cognitive impairments. While genetic and environmental factors are known to contribute to its etiology, the underlying metabolic perturbations associated with ASD which can potentially connect genetic and environmental factors, remain poorly understood. Therefore, we conducted a metabolomic case-control study and performed a comprehensive analysis to identify significant alterations in metabolite profiles between children with ASD and typically developing (TD) controls. The objective of this study is to elucidate potential metabolomic signatures associated with ASD in children and identify specific metabolites that may serve as biomarkers for the disorder. We conducted metabolomic profiling on plasma samples from participants in the second phase of Epidemiological Research on Autism in Jamaica, a cohort of 200 children with ASD and 200 TD controls (2-8 years old). Using high-throughput liquid chromatography-mass spectrometry techniques, we performed a targeted metabolite analysis, encompassing amino acids, lipids, carbohydrates, and other key metabolic compounds. After quality control and imputation of missing values, we performed univariable and multivariable analysis using normalized metabolites while adjusting for covariates, age, sex, socioeconomic status, and child's parish of birth. Our findings revealed unique metabolic patterns in children with ASD for four metabolites compared to TD controls. Notably, three of these metabolites were fatty acids, including myristoleic acid, eicosatetraenoic acid, and octadecenoic acid. Additionally, the amino acid sarcosine exhibited a significant association with ASD. These findings highlight the role of metabolites in the etiology of ASD and suggest opportunities for the development of targeted interventions.

Published
2024

3. Multi-omics and pathway analyses of genome-wide associations implicate regulation and immunity in verbal declarative memory performance

Author

Mei, Hao, Simino, Jeannette, Li, Lianna, Jiang, Fan, Bis, Joshua C., Davies, Gail, Hill, W David, Xia, Charley, Gudnason, Vilmundur, Yang, Qiong, Lahti, Jari, Smith, Jennifer A., Kirin, Mirna, De Jager, Philip, Armstrong, Nicola J., Ghanbari, Mohsen, Kolcic, Ivana, Moran, Christopher, Teumer, Alexander, Sargurupremraj, Murali, Mahmud, Shamsed, Fornage, Myriam, Zhao, Wei, Satizabal, Claudia L., Polasek, Ozren, Räikkönen, Katri, Liewald, David C., Homuth, Georg, Callisaya, Michele, Mather, Karen A., Windham, B. Gwen, Zemunik, Tatijana, Palotie, Aarno, Pattie, Alison, van der Auwera, Sandra, Thalamuthu, Anbupalam, Knopman, David S., Rudan, Igor, Starr, John M., Wittfeld, Katharina, Kochan, Nicole A., Griswold, Michael E., Vitart, Veronique, Brodaty, Henry, Gottesman, Rebecca, Cox, Simon R., Psaty, Bruce M., Boerwinkle, Eric, Chasman, Daniel I., Grodstein, Francine, Sachdev, Perminder S., Srikanth, Velandai, Hayward, Caroline, Wilson, James F., Eriksson, Johan G., Kardia, Sharon L. R., Grabe, Hans J., Bennett, David A., Ikram, M. Arfan, Deary, Ian J., van Duijn, Cornelia M., Launer, Lenore, Fitzpatrick, Annette L., Seshadri, Sudha, Bressler, Jan, Debette, Stephanie, and Mosley, Jr, Thomas H.

Published
2024
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5. Association of Mitochondrial DNA Copy Number With Brain MRI Markers and Cognitive Function

Author

Zhang, Yuankai, Liu, Xue, Wiggins, Kerri L, Kurniansyah, Nuzulul, Guo, Xiuqing, Rodrigue, Amanda L, Zhao, Wei, Yanek, Lisa R, Ratliff, Scott M, Pitsillides, Achilleas, Aguirre Patiño, Juan Sebastian, Sofer, Tamar, Arking, Dan E, Austin, Thomas R, Beiser, Alexa S, Blangero, John, Boerwinkle, Eric, Bressler, Jan, Curran, Joanne E, Hou, Lifang, Hughes, Timothy M, Kardia, Sharon LR, Launer, Lenore J, Levy, Daniel, Mosley, Thomas H, Nasrallah, Ilya M, Rich, Stephen S, Rotter, Jerome I, Seshadri, Sudha, Tarraf, Wassim, González, Kevin A, Ramachandran, Vasan, Yaffe, Kristine, Nyquist, Paul A, Psaty, Bruce M, DeCarli, Charles S, Smith, Jennifer A, Glahn, David C, González, Hector M, Bis, Joshua C, Fornage, Myriam, Heckbert, Susan R, Fitzpatrick, Annette L, Liu, Chunyu, Satizabal, Claudia L, Aguilera, Norma, Ament, Seth, Ammous, Farah, Arnett, Donna K, Becker, Diane, Bis, Joshua, Blue, Elizabeth, Breaux, Camille, Chaar, Dima, MHI, Clarkson-Townsend, Danielle, Cooper, Brigidann, Coresh, Josef, Correa, Adolfo, DeStefano, Anita, Ding, Jingzhong, Fardo, David, Fitzpatrick, Annette, French, Jennifer, Glahn, David, Gonzalez, Hector, Granot-Hershkovitz, Einat, Hanly, Patrick, Hayden, Kathleen, Heckbert, Susan, Heemann, Scott, Horvath, Steve, Hoth, Karin, Hughes, Timothy, Jaiswal, Sidd, Jian, Xueqiu, Katsumata, Yuriko, Kho, Minjung, Kooperberg, Charles, Launer, Lenore, Lin, Honghuang, Litkowski, Elizabeth, Longstreth, Will, Martin, Alexandra, Mayeux, Richard, Mikulla, Julie, Miller, Amy, Misra, Biswapriya, Mosley, Thomas, Nyquist, Paul, O'Connell, Jeff, Olivier, Michael, Peloso, Gina, Perry, James, Psaty, Bruce, Purcell, Shaun, and Raffield, Laura

Subjects
Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurodegenerative, Behavioral and Social Science, Acquired Cognitive Impairment, Clinical Research, Alzheimer's Disease, Dementia, Precision Medicine, Biomedical Imaging, Aging, Genetics, Brain Disorders, 4.1 Discovery and preclinical testing of markers and technologies, 2.1 Biological and endogenous factors, Mental health, Neurological, Good Health and Well Being, Middle Aged, Humans, Female, Aged, Male, DNA, Mitochondrial, DNA Copy Number Variations, Prospective Studies, Cross-Sectional Studies, Alzheimer Disease, Magnetic Resonance Imaging, Cognition, Brain, NHLBI Trans-Omics for Precision Medicine (TOPMed) program, Mitochondrial and Neurocognitive Working Groups, Cognitive Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract

Background and objectivesPrevious studies suggest that lower mitochondrial DNA (mtDNA) copy number (CN) is associated with neurodegenerative diseases. However, whether mtDNA CN in whole blood is related to endophenotypes of Alzheimer disease (AD) and AD-related dementia (AD/ADRD) needs further investigation. We assessed the association of mtDNA CN with cognitive function and MRI measures in community-based samples of middle-aged to older adults.MethodsWe included dementia-free participants from 9 diverse community-based cohorts with whole-genome sequencing in the Trans-Omics for Precision Medicine (TOPMed) program. Circulating mtDNA CN was estimated as twice the ratio of the average coverage of mtDNA to nuclear DNA. Brain MRI markers included total brain, hippocampal, and white matter hyperintensity volumes. General cognitive function was derived from distinct cognitive domains. We performed cohort-specific association analyses of mtDNA CN with AD/ADRD endophenotypes assessed within ±5 years (i.e., cross-sectional analyses) or 5-20 years after blood draw (i.e., prospective analyses) adjusting for potential confounders. We further explored associations stratified by sex and age (

Published
2023

6. Plasma metabolites associated with cognitive function across race/ethnicities affirming the importance of healthy nutrition

Author

Granot‐Hershkovitz, Einat, He, Shan, Bressler, Jan, Yu, Bing, Tarraf, Wassim, Rebholz, Casey M, Cai, Jianwen, Chan, Queenie, Garcia, Tanya P, Mosley, Thomas, Kristal, Bruce S, DeCarli, Charles, Fornage, Myriam, Chen, Guo‐Chong, Qi, Qibin, Kaplan, Robert, González, Hector M, and Sofer, Tamar

Subjects
Medical Biochemistry and Metabolomics, Biomedical and Clinical Sciences, Behavioral and Social Science, Nutrition, Basic Behavioral and Social Science, Clinical Research, Good Health and Well Being, Humans, Cognition, Diet, Healthy, Diet, Mediterranean, Hispanic or Latino, Ribitol, United States, White, Black or African American, Global cognitive function, Mediterranean diet, Metabolites, Puerto Rican, Race/ethnicitie, US Hispanics/Latinos, Race/ethnicities, U.S. Hispanics/Latinos, Clinical Sciences, Neurosciences, Geriatrics, Clinical sciences, Biological psychology
Abstract

IntroductionWe studied the replication and generalization of previously identified metabolites potentially associated with global cognitive function in multiple race/ethnicities and assessed the contribution of diet to these associations.MethodsWe tested metabolite-cognitive function associations in U.S.A. Hispanic/Latino adults (n = 2222) from the Community Health Study/ Study of Latinos (HCHS/SOL) and in European (n = 1365) and African (n = 478) Americans from the Atherosclerosis Risk In Communities (ARIC) Study. We applied Mendelian Randomization (MR) analyses to assess causal associations between the metabolites and cognitive function and between Mediterranean diet and cognitive function.ResultsSix metabolites were consistently associated with lower global cognitive function across all studies. Of these, four were sugar-related (e.g., ribitol). MR analyses provided weak evidence for a potential causal effect of ribitol on cognitive function and bi-directional effects of cognitive performance on diet.DiscussionSeveral diet-related metabolites were associated with global cognitive function across studies with different race/ethnicities.HighlightsMetabolites associated with cognitive function in Puerto Rican adults were recently identified. We demonstrate the generalizability of these associations across diverse race/ethnicities. Most identified metabolites are related to sugars. Mendelian Randomization (MR) provides weak evidence for a causal effect of ribitol on cognitive function. Beta-cryptoxanthin and other metabolites highlight the importance of a healthy diet.

Published
2023

8. Identification of circulating proteins associated with general cognitive function among middle-aged and older adults

Author

Tin, Adrienne, Fohner, Alison E, Yang, Qiong, Brody, Jennifer A, Davies, Gail, Yao, Jie, Liu, Dan, Caro, Ilana, Lindbohm, Joni V, Duggan, Michael R, Meirelles, Osorio, Harris, Sarah E, Gudmundsdottir, Valborg, Taylor, Adele M, Henry, Albert, Beiser, Alexa S, Shojaie, Ali, Coors, Annabell, Fitzpatrick, Annette L, Langenberg, Claudia, Satizabal, Claudia L, Sitlani, Colleen M, Wheeler, Eleanor, Tucker-Drob, Elliot M, Bressler, Jan, Coresh, Josef, Bis, Joshua C, Candia, Julián, Jennings, Lori L, Pietzner, Maik, Lathrop, Mark, Lopez, Oscar L, Redmond, Paul, Gerszten, Robert E, Rich, Stephen S, Heckbert, Susan R, Austin, Thomas R, Hughes, Timothy M, Tanaka, Toshiko, Emilsson, Valur, Vasan, Ramachandran S, Guo, Xiuqing, Zhu, Yineng, Tzourio, Christophe, Rotter, Jerome I, Walker, Keenan A, Ferrucci, Luigi, Kivimäki, Mika, Breteler, Monique MB, Cox, Simon R, Debette, Stephanie, Mosley, Thomas H, Gudnason, Vilmundur G, Launer, Lenore J, Psaty, Bruce M, Seshadri, Sudha, and Fornage, Myriam

Subjects
Biochemistry and Cell Biology, Biological Sciences, Brain Disorders, Dementia, Neurodegenerative, Acquired Cognitive Impairment, Aging, Alzheimer's Disease, Clinical Research, Neurosciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Aetiology, 2.1 Biological and endogenous factors, Neurological, Middle Aged, Humans, Aged, Alzheimer Disease, Cognition, Cognitive Dysfunction, Neurons, Biomarkers, Biological sciences, Biomedical and clinical sciences
Abstract

Identifying circulating proteins associated with cognitive function may point to biomarkers and molecular process of cognitive impairment. Few studies have investigated the association between circulating proteins and cognitive function. We identify 246 protein measures quantified by the SomaScan assay as associated with cognitive function (p

Published
2023

9. Markers of kidney function, genetic variation related to cognitive function, and cognitive performance in the UK Biobank

Author

Richard, Erin L, McEvoy, Linda K, Deary, Ian J, Davies, Gail, Cao, Steven Y, Oren, Eyal, Alcaraz, John E, LaCroix, Andrea Z, Bressler, Jan, and Salem, Rany M

Subjects
Health Services and Systems, Nursing, Health Sciences, Behavioral and Social Science, Kidney Disease, Clinical Research, Renal and urogenital, Albuminuria, Biological Specimen Banks, Biomarkers, Cognition, Creatinine, Cross-Sectional Studies, Cystatin C, Female, Genetic Variation, Humans, Kidney, Male, United Kingdom, Cognitive aging, Glomerular filtration rate, Polygenic score, Clinical Sciences, Urology & Nephrology, Clinical sciences, Health services and systems
Abstract

BackgroundChronic kidney disease has been linked to worse cognition. However, this association may be dependent on the marker of kidney function used, and studies assessing modification by genetics are lacking. This study examined associations between multiple measures of kidney function and assessed effect modification by a polygenic score for general cognitive function.MethodsIn this cross-sectional study of up to 341,208 European ancestry participants from the UK Biobank study, we examined associations between albuminuria and estimated glomerular filtration rate based on creatinine (eGFRcre) or cystatin C (eGFRcys) with cognitive performance on tests of verbal-numeric reasoning, reaction time and visual memory. Adjustment for confounding factors was performed using multivariate regression and propensity-score matching. Interaction between kidney function markers and a polygenic risk score for general cognitive function was also assessed.ResultsAlbuminuria was associated with worse performance on tasks of verbal-numeric reasoning (β(points) = -0.09, p

Published
2022

10. Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning

Author

Lahti, Jari, Tuominen, Samuli, Yang, Qiong, Pergola, Giulio, Ahmad, Shahzad, Amin, Najaf, Armstrong, Nicola J, Beiser, Alexa, Bey, Katharina, Bis, Joshua C, Boerwinkle, Eric, Bressler, Jan, Campbell, Archie, Campbell, Harry, Chen, Qiang, Corley, Janie, Cox, Simon R, Davies, Gail, De Jager, Philip L, Derks, Eske M, Faul, Jessica D, Fitzpatrick, Annette L, Fohner, Alison E, Ford, Ian, Fornage, Myriam, Gerring, Zachary, Grabe, Hans J, Grodstein, Francine, Gudnason, Vilmundur, Simonsick, Eleanor, Holliday, Elizabeth G, Joshi, Peter K, Kajantie, Eero, Kaprio, Jaakko, Karell, Pauliina, Kleineidam, Luca, Knol, Maria J, Kochan, Nicole A, Kwok, John B, Leber, Markus, Lam, Max, Lee, Teresa, Li, Shuo, Loukola, Anu, Luck, Tobias, Marioni, Riccardo E, Mather, Karen A, Medland, Sarah, Mirza, Saira S, Nalls, Mike A, Nho, Kwangsik, O’Donnell, Adrienne, Oldmeadow, Christopher, Painter, Jodie, Pattie, Alison, Reppermund, Simone, Risacher, Shannon L, Rose, Richard J, Sadashivaiah, Vijay, Scholz, Markus, Satizabal, Claudia L, Schofield, Peter W, Schraut, Katharina E, Scott, Rodney J, Simino, Jeannette, Smith, Albert V, Smith, Jennifer A, Stott, David J, Surakka, Ida, Teumer, Alexander, Thalamuthu, Anbupalam, Trompet, Stella, Turner, Stephen T, van der Lee, Sven J, Villringer, Arno, Völker, Uwe, Wilson, Robert S, Wittfeld, Katharina, Vuoksimaa, Eero, Xia, Rui, Yaffe, Kristine, Yu, Lei, Zare, Habil, Zhao, Wei, Ames, David, Attia, John, Bennett, David A, Brodaty, Henry, Chasman, Daniel I, Goldman, Aaron L, Hayward, Caroline, Ikram, M Arfan, Jukema, J Wouter, Kardia, Sharon LR, Lencz, Todd, Loeffler, Markus, Mattay, Venkata S, Palotie, Aarno, Psaty, Bruce M, and Ramirez, Alfredo

Subjects
Biological Psychology, Psychology, Genetics, Human Genome, Dementia, Behavioral and Social Science, Brain Disorders, Acquired Cognitive Impairment, Mental Health, Biotechnology, Aging, Clinical Research, Neurosciences, Basic Behavioral and Social Science, Aetiology, 2.1 Biological and endogenous factors, Neurological, Mental health, Memory, Short-Term, Learning, Verbal Learning, Multifactorial Inheritance, Brain, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

Understanding the genomic basis of memory processes may help in combating neurodegenerative disorders. Hence, we examined the associations of common genetic variants with verbal short-term memory and verbal learning in adults without dementia or stroke (N = 53,637). We identified novel loci in the intronic region of CDH18, and at 13q21 and 3p21.1, as well as an expected signal in the APOE/APOC1/TOMM40 region. These results replicated in an independent sample. Functional and bioinformatic analyses supported many of these loci and further implicated POC1. We showed that polygenic score for verbal learning associated with brain activation in right parieto-occipital region during working memory task. Finally, we showed genetic correlations of these memory traits with several neurocognitive and health outcomes. Our findings suggest a role of several genomic loci in verbal memory processes.

Published
2022

11. Clonal hematopoiesis of indeterminate potential, DNA methylation, and risk for coronary artery disease

Author

Uddin, MD Mesbah, Nguyen, Ngoc Quynh H, Yu, Bing, Brody, Jennifer A, Pampana, Akhil, Nakao, Tetsushi, Fornage, Myriam, Bressler, Jan, Sotoodehnia, Nona, Weinstock, Joshua S, Honigberg, Michael C, Nachun, Daniel, Bhattacharya, Romit, Griffin, Gabriel K, Chander, Varuna, Gibbs, Richard A, Rotter, Jerome I, Liu, Chunyu, Baccarelli, Andrea A, Chasman, Daniel I, Whitsel, Eric A, Kiel, Douglas P, Murabito, Joanne M, Boerwinkle, Eric, Ebert, Benjamin L, Jaiswal, Siddhartha, Floyd, James S, Bick, Alexander G, Ballantyne, Christie M, Psaty, Bruce M, Natarajan, Pradeep, and Conneely, Karen N

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Cardiovascular, Stem Cell Research - Nonembryonic - Non-Human, Aging, Heart Disease - Coronary Heart Disease, Atherosclerosis, Human Genome, Hematology, Stem Cell Research, Heart Disease, 2.1 Biological and endogenous factors, Aetiology, Cancer, Good Health and Well Being, Clonal Hematopoiesis, Coronary Artery Disease, DNA Methylation, Hematopoiesis, Hematopoietic Stem Cells, Humans
Abstract

Age-related changes to the genome-wide DNA methylation (DNAm) pattern observed in blood are well-documented. Clonal hematopoiesis of indeterminate potential (CHIP), characterized by the age-related acquisition and expansion of leukemogenic mutations in hematopoietic stem cells (HSCs), is associated with blood cancer and coronary artery disease (CAD). Epigenetic regulators DNMT3A and TET2 are the two most frequently mutated CHIP genes. Here, we present results from an epigenome-wide association study for CHIP in 582 Cardiovascular Health Study (CHS) participants, with replication in 2655 Atherosclerosis Risk in Communities (ARIC) Study participants. We show that DNMT3A and TET2 CHIP have distinct and directionally opposing genome-wide DNAm association patterns consistent with their regulatory roles, albeit both promoting self-renewal of HSCs. Mendelian randomization analyses indicate that a subset of DNAm alterations associated with these two leading CHIP genes may promote the risk for CAD.

Published
2022

12. Multicohort Epigenome-Wide Association Study of All-Cause Cardiovascular Disease and Cancer Incidence: A Cardio-Oncology Approach

Author

Domingo-Relloso, Arce, Riffo-Campos, Angela L., Zhao, Naisi, Ayala, Guillermo, Haack, Karin, Manterola, Carlos, Rhoades, Dorothy A., Umans, Jason G., Fallin, M Daniele, Herreros-Martinez, Miguel, Pollan, Marina, Boerwinkle, Eric, Platz, Elizabeth A., Jones, Miranda R., Bressler, Jan, Joehanes, Roby, Ryan, Calen P., Gonzalez, Juan R., Levy, Daniel, Belsky, Daniel W., Cole, Shelley A., Michaud, Dominique S., Navas-Acien, Ana, and Tellez-Plaza, Maria

Published
2024
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13. Multivariate genetic analysis of personality and cognitive traits reveals abundant pleiotropy

Author

Hindley, Guy, Shadrin, Alexey A., van der Meer, Dennis, Parker, Nadine, Cheng, Weiqiu, O’Connell, Kevin S., Bahrami, Shahram, Lin, Aihua, Karadag, Naz, Holen, Børge, Bjella, Thomas, Deary, Ian J., Davies, Gail, Hill, W. David, Bressler, Jan, Seshadri, Sudha, Fan, Chun Chieh, Ueland, Torill, Djurovic, Srdjan, Smeland, Olav B., Frei, Oleksandr, Dale, Anders M., and Andreassen, Ole A.

Published
2023
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14. Multi‐phenotype analyses of hemostatic traits with cardiovascular events reveal novel genetic associations

Author

Temprano‐Sagrera, Gerard, Sitlani, Colleen M, Bone, William P, Martin‐Bornez, Miguel, Voight, Benjamin F, Morrison, Alanna C, Damrauer, Scott M, de Vries, Paul S, Smith, Nicholas L, Sabater‐Lleal, Maria, Dehghan, Abbas, Heath, Adam S, Reiner, Alex P, Johnson, Andrew, Richmond, Anne, Peters, Annette, van Hylckama Vlieg, Astrid, McKnight, Barbara, Psaty, Bruce M, Hayward, Caroline, Ward‐Caviness, Cavin, O’Donnell, Christopher, Chasman, Daniel, Strachan, David P, Tregouet, David A, Mook‐Kanamori, Dennis, Gill, Dipender, Thibord, Florian, Asselbergs, Folkert W, Leebeek, Frank WG, Rosendaal, Frits R, Davies, Gail, Homuth, Georg, Temprano, Gerard, Campbell, Harry, Taylor, Herman A, Bressler, Jan, Huffman, Jennifer E, Rotter, Jerome I, Yao, Jie, Wilson, James F, Bis, Joshua C, Hahn, Julie M, Desch, Karl C, Wiggins, Kerri L, Raffield, Laura M, Bielak, Lawrence F, Yanek, Lisa R, Kleber, Marcus E, Mueller, Martina, Kavousi, Maryam, Mangino, Massimo, Liu, Melissa, Brown, Michael R, Conomos, Matthew P, Jhun, Min‐A, Chen, Ming‐Huei, de Maat, Moniek PM, Pankratz, Nathan, Peyser, Patricia A, Elliot, Paul, Wei, Peng, Wild, Philipp S, Morange, Pierre E, van der Harst, Pim, Yang, Qiong, Le, Ngoc‐Quynh, Marioni, Riccardo, Li, Ruifang, Cox, Simon R, Trompet, Stella, Felix, Stephan B, Völker, Uwe, Tang, Weihong, Koenig, Wolfgang, Jukema, J Wouter, Guo, Xiuqing, Lindstrom, Sara, Wang, Lu, Smith, Erin N, Gordon, William, de Andrade, Mariza, Brody, Jennifer A, Pattee, Jack W, Haessler, Jeffrey, Brumpton, Ben M, Chasman, Daniel I, Suchon, Pierre, Turman, Constance, Germain, Marine, MacDonald, James, and Braekkan, Sigrid K

Subjects
Genetics, Biotechnology, Human Genome, Atherosclerosis, Prevention, Cardiovascular, Hematology, 2.1 Biological and endogenous factors, Aetiology, Cardiovascular Diseases, Factor XI, Genetic Predisposition to Disease, Genome-Wide Association Study, Hemostasis, Hemostatics, Humans, Phenotype, Polymorphism, Single Nucleotide, Tissue Plasminogen Activator, blood coagulation, cardiovascular diseases, genetic pleiotropy, genome-wide association study, hemostasis, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Cardiovascular System & Hematology
Abstract

BackgroundMulti-phenotype analysis of genetically correlated phenotypes can increase the statistical power to detect loci associated with multiple traits, leading to the discovery of novel loci. This is the first study to date to comprehensively analyze the shared genetic effects within different hemostatic traits, and between these and their associated disease outcomes.ObjectivesTo discover novel genetic associations by combining summary data of correlated hemostatic traits and disease events.MethodsSummary statistics from genome wide-association studies (GWAS) from seven hemostatic traits (factor VII [FVII], factor VIII [FVIII], von Willebrand factor [VWF] factor XI [FXI], fibrinogen, tissue plasminogen activator [tPA], plasminogen activator inhibitor 1 [PAI-1]) and three major cardiovascular (CV) events (venous thromboembolism [VTE], coronary artery disease [CAD], ischemic stroke [IS]), were combined in 27 multi-trait combinations using metaUSAT. Genetic correlations between phenotypes were calculated using Linkage Disequilibrium Score Regression (LDSC). Newly associated loci were investigated for colocalization. We considered a significance threshold of 1.85 × 10-9 obtained after applying Bonferroni correction for the number of multi-trait combinations performed (n = 27).ResultsAcross the 27 multi-trait analyses, we found 4 novel pleiotropic loci (XXYLT1, KNG1, SUGP1/MAU2, TBL2/MLXIPL) that were not significant in the original individual datasets, were not described in previous GWAS for the individual traits, and that presented a common associated variant between the studied phenotypes.ConclusionsThe discovery of four novel loci contributes to the understanding of the relationship between hemostasis and CV events and elucidate common genetic factors between these traits.

Published
2022

15. New insights into the genetic etiology of Alzheimer’s disease and related dementias

Author

Bellenguez, Céline, Küçükali, Fahri, Jansen, Iris E, Kleineidam, Luca, Moreno-Grau, Sonia, Amin, Najaf, Naj, Adam C, Campos-Martin, Rafael, Grenier-Boley, Benjamin, Andrade, Victor, Holmans, Peter A, Boland, Anne, Damotte, Vincent, van der Lee, Sven J, Costa, Marcos R, Kuulasmaa, Teemu, Yang, Qiong, de Rojas, Itziar, Bis, Joshua C, Yaqub, Amber, Prokic, Ivana, Chapuis, Julien, Ahmad, Shahzad, Giedraitis, Vilmantas, Aarsland, Dag, Garcia-Gonzalez, Pablo, Abdelnour, Carla, Alarcón-Martín, Emilio, Alcolea, Daniel, Alegret, Montserrat, Alvarez, Ignacio, Álvarez, Victoria, Armstrong, Nicola J, Tsolaki, Anthoula, Antúnez, Carmen, Appollonio, Ildebrando, Arcaro, Marina, Archetti, Silvana, Pastor, Alfonso Arias, Arosio, Beatrice, Athanasiu, Lavinia, Bailly, Henri, Banaj, Nerisa, Baquero, Miquel, Barral, Sandra, Beiser, Alexa, Pastor, Ana Belén, Below, Jennifer E, Benchek, Penelope, Benussi, Luisa, Berr, Claudine, Besse, Céline, Bessi, Valentina, Binetti, Giuliano, Bizarro, Alessandra, Blesa, Rafael, Boada, Mercè, Boerwinkle, Eric, Borroni, Barbara, Boschi, Silvia, Bossù, Paola, Bråthen, Geir, Bressler, Jan, Bresner, Catherine, Brodaty, Henry, Brookes, Keeley J, Brusco, Luis Ignacio, Buiza-Rueda, Dolores, Bûrger, Katharina, Burholt, Vanessa, Bush, William S, Calero, Miguel, Cantwell, Laura B, Chene, Geneviève, Chung, Jaeyoon, Cuccaro, Michael L, Carracedo, Ángel, Cecchetti, Roberta, Cervera-Carles, Laura, Charbonnier, Camille, Chen, Hung-Hsin, Chillotti, Caterina, Ciccone, Simona, Claassen, Jurgen AHR, Clark, Christopher, Conti, Elisa, Corma-Gómez, Anaïs, Costantini, Emanuele, Custodero, Carlo, Daian, Delphine, Dalmasso, Maria Carolina, Daniele, Antonio, Dardiotis, Efthimios, Dartigues, Jean-François, de Deyn, Peter Paul, de Paiva Lopes, Katia, de Witte, Lot D, Debette, Stéphanie, Deckert, Jürgen, and del Ser, Teodoro

Subjects
Biochemistry and Cell Biology, Genetics, Biological Sciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Dementia, Neurodegenerative, Alzheimer's Disease, Human Genome, Prevention, Aging, Brain Disorders, Acquired Cognitive Impairment, Neurosciences, Genetic Testing, 2.1 Biological and endogenous factors, Aetiology, Neurological, Alzheimer Disease, Cognitive Dysfunction, Genome-Wide Association Study, Humans, tau Proteins, EADB, GR@ACE, DEGESCO, EADI, GERAD, Demgene, FinnGen, ADGC, CHARGE, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Characterization of the genetic landscape of Alzheimer's disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/'proxy' AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele.

Published
2022

16. A multitrait genetic study of hemostatic factors and hemorrhagic transformation after stroke treatment

Author

Dehghan, Abbas, Heath, Adam S., Morrison, Alanna C., Reiner, Alex P., Johnson, Andrew, Richmond, Anne, Peters, Annette, van Hylckama Vlieg, Astrid, McKnight, Barbara, Psaty, Bruce M., Hayward, Caroline, Ward-Caviness, Cavin, O’Donnell, Christopher, Chasman, Daniel, Strachan, David P., Tregouet, David A., Mook-Kanamori, Dennis, Gill, Dipender, Thibord, Florian, Asselbergs, Folkert W., Leebeek, Frank W.G., Rosendaal, Frits R., Davies, Gail, Homuth, Georg, Temprano, Gerard, Campbell, Harry, Taylor, Herman A., Bressler, Jan, Huffman, Jennifer E., Rotter, Jerome I., Yao, Jie, Wilson, James F., Bis, Joshua C., Hahn, Julie M., Desch, Karl C., Wiggins, Kerri L., Díez-Ahijado, Laia, Raffield, Laura M., Bielak, Lawrence F., Yanek, Lisa R., Kleber, Marcus E., Sabater-Lleal, Maria, Mueller, Martina, Kavousi, Maryam, Mangino, Massimo, Conomos, Matthew P., Liu, Melissa, Brown, Michael R., Jhun, Min-A, Chen, Ming-Huei, de Maat, Moniek P.M., Pankratz, Nathan, Smith, Nicholas L., Peyser, Patricia A., Elliot, Paul, de Vries, Paul S., Wei, Peng, Wild, Philipp S., Morange, Pierre E., van der Harst, Pim, Yang, Qiong, Marioni, Riccardo, Li, Ruifang, Damrauer, Scott M., Cox, Simon R., Trompet, Stella, Felix, Stephan B., Völker, Uwe, Tang, Weihong, Koenig, Wolfgang, Jukema, J. Wouter, Guo, Xiuqing, Gallego-Fabrega, Cristina, Temprano-Sagrera, Gerard, Cárcel-Márquez, Jara, Muiño, Elena, Cullell, Natalia, Lledós, Miquel, Llucià-Carol, Laia, Martin-Campos, Jesús M., Sobrino, Tomás, Castillo, José, Millán, Mònica, Muñoz-Narbona, Lucía, López-Cancio, Elena, Ribó, Marc, Alvarez-Sabin, Jose, Jiménez-Conde, Jordi, Roquer, Jaume, Tur, Silvia, Obach, Victor, Arenillas, Juan F., Segura, Tomas, Serrano-Heras, Gemma, Marti-Fabregas, Joan, Freijo-Guerrero, Marimar, Moniche, Francisco, Castellanos, Maria del Mar, and Fernández-Cadenas, Israel

Published
2024
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17. Blood metabolites predicting mild cognitive impairment in the study of Latinos‐investigation of neurocognitive aging (HCHS/SOL)

Author

He, Shan, Granot‐Hershkovitz, Einat, Zhang, Ying, Bressler, Jan, Tarraf, Wassim, Yu, Bing, Huang, Tianyi, Zeng, Donglin, Wassertheil‐Smoller, Sylvia, Lamar, Melissa, Daviglus, Martha, Marquine, Maria J, Cai, Jianwen, Mosley, Thomas, Kaplan, Robert, Boerwinkle, Eric, Fornage, Myriam, DeCarli, Charles, Kristal, Bruce, Gonzalez, Hector M, and Sofer, Tamar

Subjects
Medical Biochemistry and Metabolomics, Biomedical and Clinical Sciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Basic Behavioral and Social Science, Dementia, Neurodegenerative, Biomedical Imaging, Alzheimer's Disease, Clinical Research, Brain Disorders, Behavioral and Social Science, Acquired Cognitive Impairment, Aging, Neurosciences, Good Health and Well Being, global cognitive change, Hispanics, Latinos, metabolite biomarkers, metabolomic risk score, mild cognitive impairment, risk prediction, Hispanics/Latinos, Genetics, Biological psychology
Abstract

IntroductionBlood metabolomics-based biomarkers may be useful to predict measures of neurocognitive aging.MethodsWe tested the association between 707 blood metabolites measured in 1451 participants from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), with mild cognitive impairment (MCI) and global cognitive change assessed 7 years later. We further used Lasso penalized regression to construct a metabolomics risk score (MRS) that predicts MCI, potentially identifying a different set of metabolites than those discovered in individual-metabolite analysis.ResultsWe identified 20 metabolites predicting prevalent MCI and/or global cognitive change. Six of them were novel and 14 were previously reported as associated with neurocognitive aging outcomes. The MCI MRS comprised 61 metabolites and improved prediction accuracy from 84% (minimally adjusted model) to 89% in the entire dataset and from 75% to 87% among apolipoprotein E ε4 carriers.DiscussionBlood metabolites may serve as biomarkers identifying individuals at risk for MCI among US Hispanics/Latinos.

Published
2022

18. Epigenome-wide association study of mitochondrial genome copy number.

Author

Wang, Penglong, Castellani, Christina A, Yao, Jie, Huan, Tianxiao, Bielak, Lawrence F, Zhao, Wei, Haessler, Jeffrey, Joehanes, Roby, Sun, Xianbang, Guo, Xiuqing, Longchamps, Ryan J, Manson, JoAnn E, Grove, Megan L, Bressler, Jan, Taylor, Kent D, Lappalainen, Tuuli, Kasela, Silva, Van Den Berg, David J, Hou, Lifang, Reiner, Alexander, Liu, Yongmei, Boerwinkle, Eric, Smith, Jennifer A, Peyser, Patricia A, Fornage, Myriam, Rich, Stephen S, Rotter, Jerome I, Kooperberg, Charles, Arking, Dan E, Levy, Daniel, and Liu, Chunyu

Subjects
Heart Disease, Human Genome, Genetics, Cardiovascular, Generic health relevance, Aged, DNA Copy Number Variations, DNA Methylation, DNA, Mitochondrial, Epigenome, Female, Genome, Mitochondrial, Humans, Male, Middle Aged, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

We conducted cohort- and race-specific epigenome-wide association analyses of mitochondrial deoxyribonucleic acid (mtDNA) copy number (mtDNA CN) measured in whole blood from participants of African and European origins in five cohorts (n = 6182, mean age = 57-67 years, 65% women). In the meta-analysis of all the participants, we discovered 21 mtDNA CN-associated DNA methylation sites (CpG) (P

Published
2021

19. Plasma amyloid β levels are driven by genetic variants near APOE, BACE1, APP, PSEN2: A genome‐wide association study in over 12,000 non‐demented participants

Author

Damotte, Vincent, van der Lee, Sven J, Chouraki, Vincent, Grenier‐Boley, Benjamin, Simino, Jeannette, Adams, Hieab, Tosto, Giuseppe, White, Charles, Terzikhan, Natalie, Cruchaga, Carlos, Knol, Maria J, Li, Shuo, Schraen, Susanna, Grove, Megan L, Satizabal, Claudia, Amin, Najaf, Berr, Claudine, Younkin, Steven, Initiative, Alzheimer's Disease Neuroimaging, Gottesman, Rebecca F, Buée, Luc, Beiser, Alexa, Knopman, David S, Uitterlinden, Andre, DeCarli, Charles, Bressler, Jan, DeStefano, Anita, Dartigues, Jean‐François, Yang, Qiong, Boerwinkle, Eric, Tzourio, Christophe, Fornage, Myriam, Ikram, M Arfan, Amouyel, Philippe, de Jager, Phil, Reitz, Christiane, Mosley, Thomas H, Lambert, Jean‐Charles, Seshadri, Sudha, and van Duijn, Cornelia M

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical Sciences, Neurosciences, Psychology, Brain Disorders, Alzheimer's Disease, Dementia, Prevention, Genetics, Aging, Neurodegenerative, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Acquired Cognitive Impairment, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Neurological, Alzheimer Disease, Amyloid, Amyloid Precursor Protein Secretases, Amyloid beta-Protein Precursor, Apolipoproteins E, Aspartic Acid Endopeptidases, Brain, Genome-Wide Association Study, Healthy Volunteers, Humans, Positron-Emission Tomography, Presenilin-2, Alzheimer&apos, s disease, APOE, APP, BACE1, endophenotype, genetic epidemiology, genome&#8209, wide association study, plasma amyloid beta levels, plasma biomarkers, preclinical biomarkers, PSEN2, Alzheimer's Disease Neuroimaging Initiative, Alzheimer's disease, genome-wide association study, Geriatrics, Clinical sciences, Biological psychology
Abstract

IntroductionThere is increasing interest in plasma amyloid beta (Aβ) as an endophenotype of Alzheimer's disease (AD). Identifying the genetic determinants of plasma Aβ levels may elucidate important biological processes that determine plasma Aβ measures.MethodsWe included 12,369 non-demented participants from eight population-based studies. Imputed genetic data and measured plasma Aβ1-40, Aβ1-42 levels and Aβ1-42/Aβ1-40 ratio were used to perform genome-wide association studies, and gene-based and pathway analyses. Significant variants and genes were followed up for their association with brain positron emission tomography Aβ deposition and AD risk.ResultsSingle-variant analysis identified associations with apolipoprotein E (APOE) for Aβ1-42 and Aβ1-42/Aβ1-40 ratio, and BACE1 for Aβ1-40. Gene-based analysis of Aβ1-40 additionally identified associations for APP, PSEN2, CCK, and ZNF397. There was suggestive evidence for interaction between a BACE1 variant and APOE ε4 on brain Aβ deposition.DiscussionIdentification of variants near/in known major Aβ-processing genes strengthens the relevance of plasma-Aβ levels as an endophenotype of AD.

Published
2021

20. Association of low-frequency and rare coding variants with information processing speed

Author

Bressler, Jan, Davies, Gail, Smith, Albert V, Saba, Yasaman, Bis, Joshua C, Jian, Xueqiu, Hayward, Caroline, Yanek, Lisa, Smith, Jennifer A, Mirza, Saira S, Wang, Ruiqi, Adams, Hieab HH, Becker, Diane, Boerwinkle, Eric, Campbell, Archie, Cox, Simon R, Eiriksdottir, Gudny, Fawns-Ritchie, Chloe, Gottesman, Rebecca F, Grove, Megan L, Guo, Xiuqing, Hofer, Edith, Kardia, Sharon LR, Knol, Maria J, Koini, Marisa, Lopez, Oscar L, Marioni, Riccardo E, Nyquist, Paul, Pattie, Alison, Polasek, Ozren, Porteous, David J, Rudan, Igor, Satizabal, Claudia L, Schmidt, Helena, Schmidt, Reinhold, Sidney, Stephen, Simino, Jeannette, Smith, Blair H, Turner, Stephen T, van der Lee, Sven J, Ware, Erin B, Whitmer, Rachel A, Yaffe, Kristine, Yang, Qiong, Zhao, Wei, Gudnason, Vilmundur, Launer, Lenore J, Fitzpatrick, Annette L, Psaty, Bruce M, Fornage, Myriam, Arfan Ikram, M, van Duijn, Cornelia M, Seshadri, Sudha, Mosley, Thomas H, and Deary, Ian J

Subjects
Genetics, Brain Disorders, Aging, Human Genome, Adult, Cognition, Genome-Wide Association Study, Geroscience, Humans, Polymorphism, Single Nucleotide, Ubiquitin-Protein Ligases, Clinical Sciences, Public Health and Health Services, Psychology
Abstract

Measures of information processing speed vary between individuals and decline with age. Studies of aging twins suggest heritability may be as high as 67%. The Illumina HumanExome Bead Chip genotyping array was used to examine the association of rare coding variants with performance on the Digit-Symbol Substitution Test (DSST) in community-dwelling adults participating in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. DSST scores were available for 30,576 individuals of European ancestry from nine cohorts and for 5758 individuals of African ancestry from four cohorts who were older than 45 years and free of dementia and clinical stroke. Linear regression models adjusted for age and gender were used for analysis of single genetic variants, and the T5, T1, and T01 burden tests that aggregate the number of rare alleles by gene were also applied. Secondary analyses included further adjustment for education. Meta-analyses to combine cohort-specific results were carried out separately for each ancestry group. Variants in RNF19A reached the threshold for statistical significance (p = 2.01 × 10-6) using the T01 test in individuals of European descent. RNF19A belongs to the class of E3 ubiquitin ligases that confer substrate specificity when proteins are ubiquitinated and targeted for degradation through the 26S proteasome. Variants in SLC22A7 and OR51A7 were suggestively associated with DSST scores after adjustment for education for African-American participants and in the European cohorts, respectively. Further functional characterization of its substrates will be required to confirm the role of RNF19A in cognitive function.

Published
2021

24. Genome-wide association study of cognitive function in diverse Hispanics/Latinos: results from the Hispanic Community Health Study/Study of Latinos.

Author

Jian, Xueqiu, Sofer, Tamar, Tarraf, Wassim, Bressler, Jan, Faul, Jessica D, Zhao, Wei, Ratliff, Scott M, Lamar, Melissa, Launer, Lenore J, Laurie, Cathy C, Schneiderman, Neil, Weir, David R, Wright, Clinton B, Yaffe, Kristine, Zeng, Donglin, DeCarli, Charles, Mosley, Thomas H, Smith, Jennifer A, González, Hector M, and Fornage, Myriam

Subjects
Humans, Ubiquitin-Conjugating Enzymes, Cognition, Neuropsychological Tests, Public Health, Aged, Middle Aged, Hispanic Americans, Genome-Wide Association Study, Clinical Sciences, Public Health and Health Services, Psychology
Abstract

Cognitive function such as reasoning, attention, memory, and language is strongly correlated with brain aging. Compared to non-Hispanic whites, Hispanics/Latinos have a higher risk of cognitive impairment and dementia. The genetic determinants of cognitive function have not been widely explored in this diverse and admixed population. We conducted a genome-wide association analysis of cognitive function in up to 7600 middle aged and older Hispanics/Latinos (mean = 55 years) from the Hispanic Community Health Study / Study of Latinos (HCHS/SOL). Four cognitive measures were examined: the Brief Spanish English Verbal Learning Test (B-SEVLT), the Word Fluency Test (WFT), the Digit Symbol Substitution Test (DSST), the Six-Item Screener (SIS). Four novel loci were identified: one for B-SEVLT at 4p14, two for WFT at 3p14.1 and 6p21.32, and one for DSST at 10p13. These loci implicate genes highly expressed in brain and previously connected to neurological diseases (UBE2K, FRMD4B, the HLA gene complex). By applying tissue-specific gene expression prediction models to our genotype data, additional genes highly expressed in brain showed suggestive associations with cognitive measures possibly indicating novel biological mechanisms, including IFT122 in the hippocampus for SIS, SNX31 in the basal ganglia for B-SEVLT, RPS6KB2 in the frontal cortex for WFT, and CSPG5 in the hypothalamus for DSST. These findings provide new information about the genetic determinants of cognitive function in this unique population. In addition, we derived a measure of general cognitive function based on these cognitive tests and generated genome-wide association summary results, providing a resource to the research community for comparison, replication, and meta-analysis in future genetic studies in Hispanics/Latinos.

Published
2020

25. DNA methylation analysis is used to identify novel genetic loci associated with circulating fibrinogen levels in blood

Author

Hahn, Julie, Bressler, Jan, Domingo-Relloso, Arce, Chen, Ming-Huei, McCartney, Daniel L., Teumer, Alexander, van Dongen, Jenny, Kleber, Marcus E., Aïssi, Dylan, Swenson, Brenton R., Yao, Jie, Zhao, Wei, Huang, Jian, Xia, Yujing, Brown, Michael R., Costeira, Ricardo, de Geus, Eco J.C., Delgado, Graciela E., Dobson, Dre'Von A., Elliott, Paul, Grabe, Hans J., Guo, Xiuqing, Harris, Sarah E., Huffman, Jennifer E., Kardia, Sharon L.R., Liu, Yongmei, Lorkowski, Stefan, Marioni, Riccardo E., Nauck, Matthias, Ratliff, Scott M., Sabater-Lleal, Maria, Spector, Tim D., Suchon, Pierre, Taylor, Kent D., Thibord, Florian, Trégouët, David-Alexandre, Wiggins, Kerri L., Willemsen, Gonneke, Bell, Jordana T., Boomsma, Dorret I., Cole, Shelley A., Cox, Simon R., Dehghan, Abbas, Greinacher, Andreas, Haack, Karin, März, Winfried, Morange, Pierre-Emmanuel, Rotter, Jerome I., Sotoodehnia, Nona, Tellez-Plaza, Maria, Navas-Acien, Ana, Smith, Jennifer A., Johnson, Andrew D., Fornage, Myriam, Smith, Nicholas L., Wolberg, Alisa S., Morrison, Alanna C., and de Vries, Paul S.

Published
2023
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26. Interaction of Blood Manganese Concentrations with 'GSTT1' in Relation to Autism Spectrum Disorder in Jamaican Children

Author

Rahbar, Mohammad H., Samms-Vaughan, Maureen, Saroukhani, Sepideh, Lee, MinJae, Zhang, Jing, Bressler, Jan, Hessabi, Manouchehr, Shakespeare-Pellington, Sydonnie, Grove, Megan L., and Loveland, Katherine A.

Abstract

Using data from 266 age- and sex-matched pairs of Jamaican children with autism spectrum disorder (ASD) and typically developing (TD) controls (2-8 years), we investigated whether glutathione S-transferase theta 1 ("GSTT1") modifies the association between blood manganese concentrations (BMC) and ASD. After adjusting conditional logistic regression models for socioeconomic status and the interaction between "GSTT1" and "GSTP1" (glutathione S-transferase pi 1), using a recessive genetic model for "GSTT1" and either a co-dominant or dominant model for "GSTP1," the interaction between "GSTT1" and BMC was significant (P = 0.02, P = 0.01, respectively). Compared to controls, ASD cases with "GSTT1"-DD genotype had 4.33 and 4.34 times higher odds of BMC > 12 vs. [less than or equal to] 8.3 µg/L, respectively. Replication in other populations is warranted.

Published
2021
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27. Blood Leukocyte DNA Methylation Predicts Risk of Future Myocardial Infarction and Coronary Heart Disease

Author

Agha, Golareh, Mendelson, Michael M, Ward-Caviness, Cavin K, Joehanes, Roby, Huan, TianXiao, Gondalia, Rahul, Salfati, Elias, Brody, Jennifer A, Fiorito, Giovanni, Bressler, Jan, Chen, Brian H, Ligthart, Symen, Guarrera, Simonetta, Colicino, Elena, Just, Allan C, Wahl, Simone, Gieger, Christian, Vandiver, Amy R, Tanaka, Toshiko, Hernandez, Dena G, Pilling, Luke C, Singleton, Andrew B, Sacerdote, Carlotta, Krogh, Vittorio, Panico, Salvatore, Tumino, Rosario, Li, Yun, Zhang, Guosheng, Stewart, James D, Floyd, James S, Wiggins, Kerri L, Rotter, Jerome I, Multhaup, Michael, Bakulski, Kelly, Horvath, Steven, Tsao, Philip S, Absher, Devin M, Vokonas, Pantel, Hirschhorn, Joel, Fallin, M Daniele, Liu, Chunyu, Bandinelli, Stefania, Boerwinkle, Eric, Dehghan, Abbas, Schwartz, Joel D, Psaty, Bruce M, Feinberg, Andrew P, Hou, Lifang, Ferrucci, Luigi, Sotoodehnia, Nona, Matullo, Giuseppe, Peters, Annette, Fornage, Myriam, Assimes, Themistocles L, Whitsel, Eric A, Levy, Daniel, and Baccarelli, Andrea A

Subjects
Human Genome, Heart Disease, Clinical Research, Prevention, Heart Disease - Coronary Heart Disease, Atherosclerosis, Cardiovascular, Genetics, Adult, Aged, Cohort Studies, Coronary Disease, CpG Islands, DNA Methylation, Europe, Female, Genome-Wide Association Study, Humans, Incidence, Leukocytes, Male, Middle Aged, Myocardial Infarction, Population Groups, Prognosis, Prospective Studies, Risk, United States, coronary artery disease, coronary heart disease, epigenetics, genomics, gene expression regulation, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Public Health and Health Services, Cardiovascular System & Hematology
Abstract

BackgroundDNA methylation is implicated in coronary heart disease (CHD), but current evidence is based on small, cross-sectional studies. We examined blood DNA methylation in relation to incident CHD across multiple prospective cohorts.MethodsNine population-based cohorts from the United States and Europe profiled epigenome-wide blood leukocyte DNA methylation using the Illumina Infinium 450k microarray, and prospectively ascertained CHD events including coronary insufficiency/unstable angina, recognized myocardial infarction, coronary revascularization, and coronary death. Cohorts conducted race-specific analyses adjusted for age, sex, smoking, education, body mass index, blood cell type proportions, and technical variables. We conducted fixed-effect meta-analyses across cohorts.ResultsAmong 11 461 individuals (mean age 64 years, 67% women, 35% African American) free of CHD at baseline, 1895 developed CHD during a mean follow-up of 11.2 years. Methylation levels at 52 CpG (cytosine-phosphate-guanine) sites were associated with incident CHD or myocardial infarction (false discovery rate

Published
2019

28. An integrative cross-omics analysis of DNA methylation sites of glucose and insulin homeostasis

Author

Liu, Jun, Carnero-Montoro, Elena, van Dongen, Jenny, Lent, Samantha, Nedeljkovic, Ivana, Ligthart, Symen, Tsai, Pei-Chien, Martin, Tiphaine C, Mandaviya, Pooja R, Jansen, Rick, Peters, Marjolein J, Duijts, Liesbeth, Jaddoe, Vincent WV, Tiemeier, Henning, Felix, Janine F, Willemsen, Gonneke, de Geus, Eco JC, Chu, Audrey Y, Levy, Daniel, Hwang, Shih-Jen, Bressler, Jan, Gondalia, Rahul, Salfati, Elias L, Herder, Christian, Hidalgo, Bertha A, Tanaka, Toshiko, Moore, Ann Zenobia, Lemaitre, Rozenn N, Jhun, Min A, Smith, Jennifer A, Sotoodehnia, Nona, Bandinelli, Stefania, Ferrucci, Luigi, Arnett, Donna K, Grallert, Harald, Assimes, Themistocles L, Hou, Lifang, Baccarelli, Andrea, Whitsel, Eric A, van Dijk, Ko Willems, Amin, Najaf, Uitterlinden, André G, Sijbrands, Eric JG, Franco, Oscar H, Dehghan, Abbas, Spector, Tim D, Dupuis, Josée, Hivert, Marie-France, Rotter, Jerome I, Meigs, James B, Pankow, James S, van Meurs, Joyce BJ, Isaacs, Aaron, Boomsma, Dorret I, Bell, Jordana T, Demirkan, Ayşe, and van Duijn, Cornelia M

Subjects
Biological Sciences, Genetics, Nutrition, Diabetes, Human Genome, Obesity, 2.1 Biological and endogenous factors, Aetiology, Metabolic and endocrine, Adult, Aged, Aged, 80 and over, Computer Simulation, CpG Islands, DNA Methylation, Diabetes Mellitus, Type 2, Epigenesis, Genetic, Epigenomics, Female, Gene Expression Profiling, Gene Expression Regulation, Genome-Wide Association Study, Glucose, Homeostasis, Humans, Insulin, Male, Metabolic Networks and Pathways, Middle Aged, Polymorphism, Single Nucleotide, Young Adult
Abstract

Despite existing reports on differential DNA methylation in type 2 diabetes (T2D) and obesity, our understanding of its functional relevance remains limited. Here we show the effect of differential methylation in the early phases of T2D pathology by a blood-based epigenome-wide association study of 4808 non-diabetic Europeans in the discovery phase and 11,750 individuals in the replication. We identify CpGs in LETM1, RBM20, IRS2, MAN2A2 and the 1q25.3 region associated with fasting insulin, and in FCRL6, SLAMF1, APOBEC3H and the 15q26.1 region with fasting glucose. In silico cross-omics analyses highlight the role of differential methylation in the crosstalk between the adaptive immune system and glucose homeostasis. The differential methylation explains at least 16.9% of the association between obesity and insulin. Our study sheds light on the biological interactions between genetic variants driving differential methylation and gene expression in the early pathogenesis of T2D.

Published
2019

30. Correction: Association of low-frequency and rare coding variants with information processing speed

Author

Bressler, Jan, Davies, Gail, Smith, Albert V., Saba, Yasaman, Bis, Joshua C., Jian, Xueqiu, Hayward, Caroline, Yanek, Lisa, Smith, Jennifer A., Mirza, Saira S., Wang, Ruiqi, Adams, Hieab H. H., Becker, Diane, Boerwinkle, Eric, Campbell, Archie, Cox, Simon R., Eiriksdottir, Gudny, Fawns-Ritchie, Chloe, Gottesman, Rebecca F., Grove, Megan L., Guo, Xiuqing, Hofer, Edith, Kardia, Sharon L. R., Knol, Maria J., Koini, Marisa, Lopez, Oscar L., Marioni, Riccardo E., Nyquist, Paul, Pattie, Alison, Polasek, Ozren, Porteous, David J., Rudan, Igor, Satizabal, Claudia L., Schmidt, Helena, Schmidt, Reinhold, Sidney, Stephen, Simino, Jeannette, Smith, Blair H., Turner, Stephen T., van der Lee, Sven J., Ware, Erin B., Whitmer, Rachel A., Yaffe, Kristine, Yang, Qiong, Zhao, Wei, Gudnason, Vilmundur, Launer, Lenore J., Fitzpatrick, Annette L., Psaty, Bruce M., Fornage, Myriam, Arfan Ikram, M., van Duijn, Cornelia M., Seshadri, Sudha, Mosley, Thomas H., and Deary, Ian J.

Published
2022
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32. Perinatal Factors Associated with Autism Spectrum Disorder in Jamaican Children

Author

Saroukhani, Sepideh, Samms-Vaughan, Maureen, Lee, MinJae, Bach, MacKinsey A., Bressler, Jan, Hessabi, Manouchehr, Grove, Megan L., Shakespeare-Pellington, Sydonnie, Loveland, Katherine A., and Rahbar, Mohammad H.

Abstract

Mode of delivery, preterm birth, and low birth weight (LBW) are hypothesized to be associated with autism spectrum disorder (ASD) in the offspring. Using data from 343 ASD cases (2-8 years) and their age- and sex-matched typically developing controls in Jamaica we investigated these hypotheses. Our statistical analyses revealed that the parish of residence could modify the association between cesarean delivery and ASD, with a difference found in this relationship in Kingston parish [matched odds ratio (MOR) (95% confidence interval (CI)) 2.30 (1.17-4.53)] and other parishes [MOR (95% CI) 0.87 (0.48-1.59)]. Although the associations of LBW and preterm birth with ASD were not significant, we observed a significant interaction between LBW and the household socioeconomic status. These findings require replication.

Published
2020
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33. Whole genome sequence analyses of brain imaging measures in the Framingham Study

Author

Sarnowski, Chloé, Satizabal, Claudia L, DeCarli, Charles, Pitsillides, Achilleas N, Cupples, L Adrienne, Vasan, Ramachandran S, Wilson, James G, Bis, Joshua C, Fornage, Myriam, Beiser, Alexa S, DeStefano, Anita L, Dupuis, Josée, Seshadri, Sudha, Arnett, Donna K, Becker, Diane, Bis, Joshua, Boerwinkle, Eric, Bowers, Michael, Bressler, Jan, Correa, Adolfo, DeStefano, Anita, Ding, Jingzhong ding, Fardo, David, Lugo, Alex Garcia, Glahn, David, Gonzalez, Hector, Hayden, Kathleen, Heckbert, Susan, Hoth, Karin, Hughes, Timothy, Jaquish, Cashell, Jian, Xueqiu, Knowles, Emma, Launer, Lenore, Lin, Honghuang, Longstreth, Will, Mayeux, Richard, Misra, Biswapriya, Mosley, Thomas, Nyquist, Paul, Olivier, Michael, Peprah, Emmanuel, Psaty, Bruce, Purcell, Shaun, Rotter, Jerome, Satizabal, Claudia, Schellenberg, Gerard, Simino, Jeannette, Smith, Jennifer, Smoller, Sylvia, Snively, Beverly, Sokolow, Sophie, Wehr, Kate, Yanek, Lisa, Yang, Qiong, Namiko, Abe, Goncalo, Abecasis, Christine, Albert, Nicholette (Nichole) Palmer, Allred, Laura, Almasy, Alvaro, Alonso, Seth, Ament, Peter, Anderson, Pramod, Anugu, Deborah, Applebaum-Bowden, Dan, Arking, Donna K, Arnett, Allison, Ashley-Koch, Stella, Aslibekyan, Tim, Assimes, Paul, Auer, Dimitrios, Avramopoulos, John, Barnard, Kathleen, Barnes, Graham, Barr R, Emily, Barron-Casella, Terri, Beaty, Diane, Becker, Lewis, Becker, Rebecca, Beer, Ferdouse, Begum, Amber, Beitelshees, Emelia, Benjamin, Marcos, Bezerra, Larry, Bielak, Joshua, Bis, Thomas, Blackwell, John, Blangero, Eric, Boerwinkle, Ingrid, Borecki, Russell, Bowler, Jennifer, Brody, Ulrich, Broeckel, Jai, Broome, Karen, Bunting, Esteban, Burchard, and Jonathan, Cardwell

Subjects
Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Genetics, Biotechnology, Human Genome, Aging, Brain Disorders, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Neurological, Good Health and Well Being, Aged, Brain, Female, Genetic Variation, Genome-Wide Association Study, Humans, Magnetic Resonance Imaging, Male, Massachusetts, Middle Aged, Organ Size, Phenotype, Prospective Studies, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Neurocognitive Working Group, Cognitive Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract

ObjectiveWe sought to identify rare variants influencing brain imaging phenotypes in the Framingham Heart Study by performing whole genome sequence association analyses within the Trans-Omics for Precision Medicine Program.MethodsWe performed association analyses of cerebral and hippocampal volumes and white matter hyperintensity (WMH) in up to 2,180 individuals by testing the association of rank-normalized residuals from mixed-effect linear regression models adjusted for sex, age, and total intracranial volume with individual variants while accounting for familial relatedness. We conducted gene-based tests for rare variants using (1) a sliding-window approach, (2) a selection of functional exonic variants, or (3) all variants.ResultsWe detected new loci in 1p21 for cerebral volume (minor allele frequency [MAF] 0.005, p = 10-8) and in 16q23 for hippocampal volume (MAF 0.05, p = 2.7 × 10-8). Previously identified associations in 12q24 for hippocampal volume (rs7294919, p = 4.4 × 10-4) and in 17q25 for WMH (rs7214628, p = 2.0 × 10-3) were confirmed. Gene-based tests detected associations (p ≤ 2.3 × 10-6) in new loci for cerebral (5q13, 8p12, 9q31, 13q12-q13, 15q24, 17q12, 19q13) and hippocampal volumes (2p12) and WMH (3q13, 4p15) including Alzheimer disease- (UNC5D) and Parkinson disease-associated genes (GBA). Pathway analyses evidenced enrichment of associated genes in immunity, inflammation, and Alzheimer disease and Parkinson disease pathways.ConclusionsWhole genome sequence-wide search reveals intriguing new loci associated with brain measures. Replication of novel loci is needed to confirm these findings.

Published
2018

34. DNA Methylation Analysis Identifies Loci for Blood Pressure Regulation

Author

Richard, Melissa A, Huan, Tianxiao, Ligthart, Symen, Gondalia, Rahul, Jhun, Min A, Brody, Jennifer A, Irvin, Marguerite R, Marioni, Riccardo, Shen, Jincheng, Tsai, Pei-Chien, Montasser, May E, Jia, Yucheng, Syme, Catriona, Salfati, Elias L, Boerwinkle, Eric, Guan, Weihua, Mosley, Thomas H, Bressler, Jan, Morrison, Alanna C, Liu, Chunyu, Mendelson, Michael M, Uitterlinden, André G, van Meurs, Joyce B, Consortium, BIOS, Heijmans, Bastiaan T, Hoen, Peter AC ’t, van Meurs, Joyce, Isaacs, Aaron, Jansen, Rick, Franke, Lude, Boomsma, Dorret I, Pool, René, van Dongen, Jenny, Hottenga, Jouke J, van Greevenbroek, Marleen MJ, Stehouwer, Coen DA, van der Kallen, Carla JH, Schalkwijk, Casper G, Wijmenga, Cisca, Zhernakova, Alexandra, Tigchelaar, Ettje F, Slagboom, P Eline, Beekman, Marian, Deelen, Joris, van Heemst, Diana, Veldink, Jan H, van den Berg, Leonard H, van Duijn, Cornelia M, Hofman, Albert, Jhamai, P Mila, Verbiest, Michael, Suchiman, H Eka D, Verkerk, Marijn, van der Breggen, Ruud, van Rooij, Jeroen, Lakenberg, Nico, Mei, Hailiang, van Iterson, Maarten, van Galen, Michiel, Bot, Jan, van ’t Hof, Peter, Deelen, Patrick, Nooren, Irene, Moed, Matthijs, Vermaat, Martijn, Zhernakova, Dasha V, Luijk, René, Bonder, Marc Jan, van Dijk, Freerk, Arindrarto, Wibowo, Kielbasa, Szymon M, Swertz, Morris A, van Zwet, Erik W, Franco, Oscar H, Zhang, Guosheng, Li, Yun, Stewart, James D, Bis, Joshua C, Psaty, Bruce M, Chen, Yii-Der Ida, Kardia, Sharon LR, Zhao, Wei, Turner, Stephen T, Absher, Devin, Aslibekyan, Stella, Starr, John M, McRae, Allan F, Hou, Lifang, Just, Allan C, Schwartz, Joel D, Vokonas, Pantel S, Menni, Cristina, Spector, Tim D, Shuldiner, Alan, Damcott, Coleen M, Rotter, Jerome I, Palmas, Walter, Liu, Yongmei, and Paus, Tomáš

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Human Genome, Biotechnology, Aetiology, 2.1 Biological and endogenous factors, Aged, Blood Pressure, CpG Islands, Cross-Sectional Studies, DNA Methylation, Epigenesis, Genetic, Genetic Variation, Genome-Wide Association Study, Humans, Mendelian Randomization Analysis, Middle Aged, Nerve Tissue Proteins, Quantitative Trait Loci, Tetraspanins, BIOS Consortium, DNA methylation, Mendelian randomization, blood pressure, epigenome-wide association study, gene expression, sequence variation, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract

Genome-wide association studies have identified hundreds of genetic variants associated with blood pressure (BP), but sequence variation accounts for a small fraction of the phenotypic variance. Epigenetic changes may alter the expression of genes involved in BP regulation and explain part of the missing heritability. We therefore conducted a two-stage meta-analysis of the cross-sectional associations of systolic and diastolic BP with blood-derived genome-wide DNA methylation measured on the Infinium HumanMethylation450 BeadChip in 17,010 individuals of European, African American, and Hispanic ancestry. Of 31 discovery-stage cytosine-phosphate-guanine (CpG) dinucleotides, 13 replicated after Bonferroni correction (discovery: N = 9,828, p < 1.0 × 10-7; replication: N = 7,182, p  30%) and independent of known BP genetic variants, explaining an additional 1.4% and 2.0% of the interindividual variation in systolic and diastolic BP, respectively. Bidirectional Mendelian randomization among up to 4,513 individuals of European ancestry from 4 cohorts suggested that methylation at cg08035323 (TAF1B-YWHAQ) influences BP, while BP influences methylation at cg00533891 (ZMIZ1), cg00574958 (CPT1A), and cg02711608 (SLC1A5). Gene expression analyses further identified six genes (TSPAN2, SLC7A11, UNC93B1, CPT1A, PTMS, and LPCAT3) with evidence of triangular associations between methylation, gene expression, and BP. Additional integrative Mendelian randomization analyses of gene expression and DNA methylation suggested that the expression of TSPAN2 is a putative mediator of association between DNA methylation at cg23999170 and BP. These findings suggest that heritable DNA methylation plays a role in regulating BP independently of previously known genetic variants.

Published
2017

36. Epidemiology and Molecular-Pathologic Characteristics of CpG Island Methylator Phenotype (CIMP) in Colorectal Cancer

Author

Advani, Shailesh M., Swartz, Michael D., Loree, Jonathan, Davis, Jennifer S., Sarsashek, Amir Mehvarz, Lam, Michael, Lee, Michael Sangmin, Bressler, Jan, Lopez, David S., Daniel, Carrie R., Morris, Van, Shureqi, Imad, Kee, Bryan, Dasari, Arvind, Vilar, Eduardo, Overman, Michael, Hamilton, Stanley, Maru, Dipen, Braithwaite, Dejana, and Kopetz, Scott

Published
2021
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37. Association of Body Mass Index with DNA Methylation and Gene Expression in Blood Cells and Relations to Cardiometabolic Disease: A Mendelian Randomization Approach.

Author

Mendelson, Michael M, Marioni, Riccardo E, Joehanes, Roby, Liu, Chunyu, Hedman, Åsa K, Aslibekyan, Stella, Demerath, Ellen W, Guan, Weihua, Zhi, Degui, Yao, Chen, Huan, Tianxiao, Willinger, Christine, Chen, Brian, Courchesne, Paul, Multhaup, Michael, Irvin, Marguerite R, Cohain, Ariella, Schadt, Eric E, Grove, Megan L, Bressler, Jan, North, Kari, Sundström, Johan, Gustafsson, Stefan, Shah, Sonia, McRae, Allan F, Harris, Sarah E, Gibson, Jude, Redmond, Paul, Corley, Janie, Murphy, Lee, Starr, John M, Kleinbrink, Erica, Lipovich, Leonard, Visscher, Peter M, Wray, Naomi R, Krauss, Ronald M, Fallin, Daniele, Feinberg, Andrew, Absher, Devin M, Fornage, Myriam, Pankow, James S, Lind, Lars, Fox, Caroline, Ingelsson, Erik, Arnett, Donna K, Boerwinkle, Eric, Liang, Liming, Levy, Daniel, and Deary, Ian J

Subjects
Leukocytes, Humans, Obesity, Body Mass Index, Oligonucleotide Array Sequence Analysis, DNA Methylation, Gene Expression Regulation, Epigenesis, Genetic, Aged, Female, Male, Lipid Metabolism, Coronary Artery Disease, Genome-Wide Association Study, Mendelian Randomization Analysis, Epigenesis, Genetic, General & Internal Medicine, Medical and Health Sciences
Abstract

BackgroundThe link between DNA methylation, obesity, and adiposity-related diseases in the general population remains uncertain.Methods and findingsWe conducted an association study of body mass index (BMI) and differential methylation for over 400,000 CpGs assayed by microarray in whole-blood-derived DNA from 3,743 participants in the Framingham Heart Study and the Lothian Birth Cohorts, with independent replication in three external cohorts of 4,055 participants. We examined variations in whole blood gene expression and conducted Mendelian randomization analyses to investigate the functional and clinical relevance of the findings. We identified novel and previously reported BMI-related differential methylation at 83 CpGs that replicated across cohorts; BMI-related differential methylation was associated with concurrent changes in the expression of genes in lipid metabolism pathways. Genetic instrumental variable analysis of alterations in methylation at one of the 83 replicated CpGs, cg11024682 (intronic to sterol regulatory element binding transcription factor 1 [SREBF1]), demonstrated links to BMI, adiposity-related traits, and coronary artery disease. Independent genetic instruments for expression of SREBF1 supported the findings linking methylation to adiposity and cardiometabolic disease. Methylation at a substantial proportion (16 of 83) of the identified loci was found to be secondary to differences in BMI. However, the cross-sectional nature of the data limits definitive causal determination.ConclusionsWe present robust associations of BMI with differential DNA methylation at numerous loci in blood cells. BMI-related DNA methylation and gene expression provide mechanistic insights into the relationship between DNA methylation, obesity, and adiposity-related diseases.

Published
2017

40. DNA methylation-based measures of biological age: meta-analysis predicting time to death

Author

Chen, Brian H, Marioni, Riccardo E, Colicino, Elena, Peters, Marjolein J, Ward-Caviness, Cavin K, Tsai, Pei-Chien, Roetker, Nicholas S, Just, Allan C, Demerath, Ellen W, Guan, Weihua, Bressler, Jan, Fornage, Myriam, Studenski, Stephanie, Vandiver, Amy R, Moore, Ann Zenobia, Tanaka, Toshiko, Kiel, Douglas P, Liang, Liming, Vokonas, Pantel, Schwartz, Joel, Lunetta, Kathryn L, Murabito, Joanne M, Bandinelli, Stefania, Hernandez, Dena G, Melzer, David, Nalls, Michael, Pilling, Luke C, Price, Timothy R, Singleton, Andrew B, Gieger, Christian, Holle, Rolf, Kretschmer, Anja, Kronenberg, Florian, Kunze, Sonja, Linseisen, Jakob, Meisinger, Christine, Rathmann, Wolfgang, Waldenberger, Melanie, Visscher, Peter M, Shah, Sonia, Wray, Naomi R, McRae, Allan F, Franco, Oscar H, Hofman, Albert, Uitterlinden, André G, Absher, Devin, Assimes, Themistocles, Levine, Morgan E, Lu, Ake T, Tsao, Philip S, Hou, Lifang, Manson, JoAnn E, Carty, Cara L, LaCroix, Andrea Z, Reiner, Alexander P, Spector, Tim D, Feinberg, Andrew P, Levy, Daniel, Baccarelli, Andrea, van Meurs, Joyce, Bell, Jordana T, Peters, Annette, Deary, Ian J, Pankow, James S, Ferrucci, Luigi, and Horvath, Steve

Subjects
Biological Sciences, Genetics, Clinical Research, Prevention, Good Health and Well Being, Aging, DNA Methylation, Epigenesis, Genetic, Female, Humans, Logistic Models, Male, Mortality, Racial Groups, Risk Factors, Survival Analysis, T-Lymphocyte Subsets, all-cause mortality, lifespan, epigenetics, epigenetic clock, DNA methylation, mortality, Biochemistry and cell biology, Clinical sciences
Abstract

Estimates of biological age based on DNA methylation patterns, often referred to as "epigenetic age", "DNAm age", have been shown to be robust biomarkers of age in humans. We previously demonstrated that independent of chronological age, epigenetic age assessed in blood predicted all-cause mortality in four human cohorts. Here, we expanded our original observation to 13 different cohorts for a total sample size of 13,089 individuals, including three racial/ethnic groups. In addition, we examined whether incorporating information on blood cell composition into the epigenetic age metrics improves their predictive power for mortality. All considered measures of epigenetic age acceleration were predictive of mortality (p≤8.2x10-9), independent of chronological age, even after adjusting for additional risk factors (p

Published
2016

41. Epigenome-wide association study of serum urate reveals insights into urate co-regulation and the SLC2A9 locus

Author

Tin, Adrienne, Schlosser, Pascal, Matias-Garcia, Pamela R., Thio, Chris H. L., Joehanes, Roby, Liu, Hongbo, Yu, Zhi, Weihs, Antoine, Hoppmann, Anselm, Grundner-Culemann, Franziska, Min, Josine L., Kuhns, Victoria L. Halperin, Adeyemo, Adebowale A., Agyemang, Charles, Ärnlöv, Johan, Aziz, Nasir A., Baccarelli, Andrea, Bochud, Murielle, Brenner, Hermann, Bressler, Jan, Breteler, Monique M. B., Carmeli, Cristian, Chaker, Layal, Coresh, Josef, Corre, Tanguy, Correa, Adolfo, Cox, Simon R., Delgado, Graciela E., Eckardt, Kai-Uwe, Ekici, Arif B., Endlich, Karlhans, Floyd, James S., Fraszczyk, Eliza, Gao, Xu, Gào, Xīn, Gelber, Allan C., Ghanbari, Mohsen, Ghasemi, Sahar, Gieger, Christian, Greenland, Philip, Grove, Megan L., Harris, Sarah E., Hemani, Gibran, Henneman, Peter, Herder, Christian, Horvath, Steve, Hou, Lifang, Hurme, Mikko A., Hwang, Shih-Jen, Kardia, Sharon L. R., Kasela, Silva, Kleber, Marcus E., Koenig, Wolfgang, Kooner, Jaspal S., Kronenberg, Florian, Kühnel, Brigitte, Ladd-Acosta, Christine, Lehtimäki, Terho, Lind, Lars, Liu, Dan, Lloyd-Jones, Donald M., Lorkowski, Stefan, Lu, Ake T., Marioni, Riccardo E., März, Winfried, McCartney, Daniel L., Meeks, Karlijn A. C., Milani, Lili, Mishra, Pashupati P., Nauck, Matthias, Nowak, Christoph, Peters, Annette, Prokisch, Holger, Psaty, Bruce M., Raitakari, Olli T., Ratliff, Scott M., Reiner, Alex P., Schöttker, Ben, Schwartz, Joel, Sedaghat, Sanaz, Smith, Jennifer A., Sotoodehnia, Nona, Stocker, Hannah R., Stringhini, Silvia, Sundström, Johan, Swenson, Brenton R., van Meurs, Joyce B. J., van Vliet-Ostaptchouk, Jana V., Venema, Andrea, Völker, Uwe, Winkelmann, Juliane, Wolffenbuttel, Bruce H. R., Zhao, Wei, Zheng, Yinan, Loh, Marie, Snieder, Harold, Waldenberger, Melanie, Levy, Daniel, Akilesh, Shreeram, Woodward, Owen M., Susztak, Katalin, Teumer, Alexander, and Köttgen, Anna

Published
2021
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42. Maternal Exposures Associated with Autism Spectrum Disorder in Jamaican Children

Author

Christian, MacKinsey A., Samms-Vaughan, Maureen, Lee, MinJae, Bressler, Jan, Hessabi, Manouchehr, Grove, Megan L., Shakespeare-Pellington, Sydonnie, Coore Desai, Charlene, Reece, Jody-Ann, Loveland, Katherine A., Boerwinkle, Eric, and Rahbar, Mohammad H.

Abstract

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder with poorly understood etiology. Many maternal exposures during pregnancy and breastfeeding potentially interfere with neurodevelopment. Using data from two age- and sex-matched case-control studies in Jamaica (n = 298 pairs), results of conditional logistic regression analyses suggest that maternal exposures to fever or infection (matched odds ratio (MOR) = 3.12, 95% CI 1.74-5.60), physical trauma (MOR 2.02, 95% CI 1.01-4.05), and oil-based paints (MOR 1.99, 95% CI 1.14-3.46) may be associated with ASD. Additionally, maternal exposure to oil-based paints may modify the relationship between maternal exposure to pesticides and ASD, which deepens our understanding of the association between pesticides and ASD.

Published
2018
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44. A rare missense variant of CASP7 is associated with familial late-onset Alzheimer's disease

Author

Bellair, Michelle, Dinh, Huyen, Doddapeneni, Harsha, Dugan-Perez, Shannon, English, Adam, Gibbs, Richard A., Han, Yi, Hu, Jianhong, Jayaseelan, Joy, Kalra, Divya, Khan, Ziad, Korchina, Viktoriya, Lee, Sandra, Liu, Yue, Liu, Xiuping, Muzny, Donna, Nasser, Waleed, Salerno, William, Santibanez, Jireh, Skinner, Evette, White, Simon, Worley, Kim, Zhu, Yiming, Beiser, Alexa, Chen, Yuning, Chung, Jaeyoon, Cupples, L. Adrienne, DeStefano, Anita, Dupuis, Josee, Farrell, John, Farrer, Lindsay, Lancour, Daniel, Lin, Honghuang, Liu, Ching Ti, Lunetta, Kathy, Ma, Yiyi, Patel, Devanshi, Sarnowski, Chloe, Satizabal, Claudia, Seshadri, Sudha, Sun, Fangui Jenny, Zhang, Xiaoling, Choi, Seung Hoan, Banks, Eric, Gabriel, Stacey, Gupta, Namrata, Bush, William, Butkiewicz, Mariusz, Haines, Jonathan, Smieszek, Sandra, Song, Yeunjoo, Barral, Sandra, De Jager, Phillip L., Mayeux, Richard, Reitz, Christiane, Reyes, Dolly, Tosto, Giuseppe, Vardarajan, Badri, Amad, Shahzad, Amin, Najaf, Ikram, M. Afran, van der Lee, Sven, van Duijn, Cornelia, Vanderspek, Ashley, Schmidt, Helena, Schmidt, Reinhold, Goate, Alison, Kapoor, Manav, Marcora, Edoardo, Renton, Alan, Faber, Kelley, Foroud, Tatiana, Feolo, Michael, Stine, Adam, Launer, Lenore J., Bennett, David A., Xia, Li Charlie, Beecham, Gary, Hamilton-Nelson, Kara, Jaworski, James, Kunkle, Brian, Martin, Eden, Pericak-Vance, Margaret, Rajabli, Farid, Schmidt, Michael, Mosley, Thomas H., Cantwell, Laura, Childress, Micah, Chou, Yi-Fan, Cweibel, Rebecca, Gangadharan, Prabhakaran, Kuzma, Amanda, Leung, Yuk Yee, Lin, Han-Jen, Malamon, John, Mlynarski, Elisabeth, Naj, Adam, Qu, Liming, Schellenberg, Gerard, Valladares, Otto, Wang, Li-San, Wang, Weixin, Zhang, Nancy, Below, Jennifer E., Boerwinkle, Eric, Bressler, Jan, Fornage, Myriam, Jian, Xueqiu, Liu, Xiaoming, Bis, Joshua C., Blue, Elizabeth, Brown, Lisa, Day, Tyler, Dorschner, Michael, Horimoto, Andrea R., Nafikov, Rafael, Nato, Alejandro Q., Jr., Navas, Pat, Nguyen, Hiep, Psaty, Bruce, Rice, Kenneth, Saad, Mohamad, Sohi, Harkirat, Thornton, Timothy, Tsuang, Debby, Wang, Bowen, Wijsman, Ellen, Witten, Daniela, Antonacci-Fulton, Lucinda, Appelbaum, Elizabeth, Cruchaga, Carlos, Fulton, Robert S., Koboldt, Daniel C., Larson, David E., Waligorski, Jason, Wilson, Richard K., Zhu, Congcong, Vardarajan, Badri N., Farrell, John J., Haines, Jonathan L., Schellenberg, Gerard D., Pericak-Vance, Margaret A., Lunetta, Kathryn L., and Farrer, Lindsay A.

Published
2019
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45. Interaction between manganese and GSTP1 in relation to autism spectrum disorder while controlling for exposure to mixture of lead, mercury, arsenic, and cadmium

Author

Rahbar, Mohammad H., Samms-Vaughan, Maureen, Lee, MinJae, Christian, MacKinsey A., Bressler, Jan, Hessabi, Manouchehr, Grove, Megan L., Shakespeare-Pellington, Sydonnie, Coore Desai, Charlene, Reece, Jody-Ann, Loveland, Katherine A., Beecher, Compton, McLaughlin, Wayne, and Boerwinkle, Eric

Published
2018
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46. The Diagnosis of Autism and Autism Spectrum Disorder in Low- and Middle-Income Countries: Experience from Jamaica

Author

Samms-Vaughan, Maureen, Rahbar, Mohammad H., Dickerson, Aisha S., Loveland, Katherine A., Hessabi, Manouchehr, Pearson, Deborah A., Bressler, Jan, Shakespeare-Pellington, Sydonnie, Grove, Megan L., Coore-Desai, Charlene, Reece, Jody, and Boerwinkle, Eric

Abstract

The administration requirements of the Autism Diagnostic Observation Schedule and the Autism Diagnostic Interview-Revised, widely used in high-income countries, make them less feasible for diagnosis of autism spectrum disorder in low- and middle-income countries. The flexible administration requirements of the Childhood Autism Rating Scale have resulted in its use in both high-income countries and low- and middle-income countries. This study examines the agreement between assessments using the Childhood Autism Rating Scale with those using the Autism Diagnostic Observation Schedule or Autism Diagnostic Observation Schedule, Second Edition and Autism Diagnostic Interview-Revised in Jamaica. Children aged 2-8 years (n = 149) diagnosed with autism by an experienced clinician using the Childhood Autism Rating Scale were re-evaluated using the Autism Diagnostic Observation Schedule and Autism Diagnostic Interview-Revised. The proportion diagnosed with autism spectrum disorder using the Autism Diagnostic Observation Schedule, Autism Diagnostic Observation Schedule, Second Edition, and Autism Diagnostic Interview-Revised was determined and mean domain scores compared using analysis of variance (ANOVA). The mean age was 64.4 (standard deviation = 21.6) months; the male:female ratio was 6:1. The diagnostic agreement of the Childhood Autism Rating Scale with the Autism Diagnostic Observation Schedule and Autism Diagnostic Observation Schedule, Second Edition was 100.0% and 98.0%, respectively. Agreement with the Autism Diagnostic Interview-Revised was 94.6%. Domain scores were highest for children with more severe symptoms (p < 0.01). Despite a high level of agreement of the Childhood Autism Rating Scale with the Autism Diagnostic Observation Schedule, Autism Diagnostic Observation Schedule, Second Edition, and Autism Diagnostic Interview-Revised, the Childhood Autism Rating Scale should be evaluated further with a broader range of autism spectrum disorder symptomatology, and by clinicians with varying experience before recommendation for use in low- and middle-income countries.

Published
2017
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47. Epigenome‐wide association study using peripheral blood leukocytes identifies genomic regions associated with periodontal disease and edentulism in the Atherosclerosis Risk in Communities study

Author

Zhao, Naisi, primary, Teles, Flavia, additional, Lu, Jiayun, additional, Koestler, Devin C., additional, Beck, James, additional, Boerwinkle, Eric, additional, Bressler, Jan, additional, Kelsey, Karl T., additional, Platz, Elizabeth A., additional, and Michaud, Dominique S., additional

Published
2023
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48. Mitochondrial DNA copy number can influence mortality and cardiovascular disease via methylation of nuclear DNA CpGs

Author

Castellani, Christina A., Longchamps, Ryan J., Sumpter, Jason A., Newcomb, Charles E., Lane, John A., Grove, Megan L., Bressler, Jan, Brody, Jennifer A., Floyd, James S., Bartz, Traci M., Taylor, Kent D., Wang, Penglong, Tin, Adrienne, Coresh, Josef, Pankow, James S., Fornage, Myriam, Guallar, Eliseo, O’Rourke, Brian, Pankratz, Nathan, Liu, Chunyu, Levy, Daniel, Sotoodehnia, Nona, Boerwinkle, Eric, and Arking, Dan E.

Published
2020
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49. CD36 regulates factor VIII secretion from liver endothelial cells

Author

Dehghan, Abbas, Gill, Dipender, Elliot, Paul, Pankratz, Nathan, Tang, Weihong, Wei, Peng, deVries, Paul, Brown, Michael, Bressler, Jan, Hahn, Julie, Friedman, Rachel K., Heath, Adam, Morrison, Alanna, Strachan, David, Reiner, Alex P., Conomos, Matt, Psaty, Bruce M., Brody, Jen, Bis, Joshua C., Wiggins, Kerri L., Smith, Nicholas L., Hayward, Caroline, Richmond, Anne, O’Donnell, Chris, Huffman, Jenny, Chen, Ming-Huei, Yang, Qiong, Thibord, Florian, Liu, Melissa, Johnson, Andrew, Desch, Karl, Sabater-Lleal, Maria, Temprano, Gerard, Díez, Laia, Yanek, Lisa, Peyser, Patricia, Jhun, Mina, Wild, Philipp, Reiner, Alex, Raffield, Laura, Taylor, Herman, Nicholas, Jayna, Youkhana, Kim, Peters, Annette, Mueller, Martina, Ward-Caviness, Cavin, Koenig, Wolfgang, Cox, Simon, Davies, Gail, Marioni, Riccardo, Kleber, Marcus, Tregouet, David, Morange, Pierre, Rosendaal, Frits R., van Hylckama Vlieg, Astrid, Rotter, Jerry, Yao, Jie, Guo, Xiuqing, Damrauer, Scott, Li, Ruifang, Mook, Dennis, Campbell, Harry, van der Harst, Pim, Asselbergs, Folkert, Jukema, Wouter, Trompet, Stella, Kavousi, Maryam, Leebeek, Frank, de Maat, Moniek, Felix, Stephan, Voelker, Uwe, Homuth, Georg, Mangino, Massimo, Chasman, Daniel, Reventun, Paula, Toledano-Sanz, Pablo, Alcharani, Nunzio, Viskadourou, Maria, Morrison, Alanna C., Wolberg, Alisa S., de Vries, Paul S., Osburn, William O., Arvanitis, Marios, and Lowenstein, Charles J.

Published
2024
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50. Rare genetic variation implicated in non-Hispanic white families with Alzheimer disease

Author

Beecham, Gary W., Vardarajan, Badri, Blue, Elizabeth, Bush, William, Jaworski, James, Barral, Sandra, DeStefano, Anita, Hamilton-Nelson, Kara, Kunkle, Brian, Martin, Eden R., Naj, Adam, Rajabli, Farid, Reitz, Christiane, Thornton, Timothy, van Duijn, Cornelia, Goate, Allison, Seshadri, Sudha, Farrer, Lindsay A., Boerwinkle, Eric, Schellenberg, Gerard, Haines, Jonathan L., Wijsman, Ellen, Mayeux, Richard, Pericak-Vance, Margaret A., English, Adam, Kalra, Divya, Muzny, Donna, Skinner, Evette, Doddapeneni, Harsha, Dinh, Huyen, Hu, Jianhong, Santibanez, Jireh, Jayaseelan, Joy, Worley, Kim, Bellair, Michelle, Gibbs, Richard A., Lee, Sandra, Dugan-Perez, Shannon, White, Simon, Korchina, Viktoriya, Nasser, Waleed, Salerno, William, Liu, Xiuping, Han, Yi, Zhu, Yiming, Liu, Yue, Khan, Ziad, Cupples, Adrienne, Beiser, Alexa, DeStefanos, Anita, Liu, Ching Ti, Sarnowski, Chloe, Satizabal, Claudia, Lancour, Dan, Patel, Devanshi, Sun, Fangui Jenny, Lin, Honghuang, Chung, Jaeyoon, Farrell, John, Dupuis, Josee, Lunetta, Kathy, Farrer, Lindsay, Seshadri, Sudha, Zhang, Xiaoling, Ma, Yiyi, Chen, Yuning, Banks, Eric, Gupta, Namrata, Choi, Seung Hoan, Gabriel, Stacey, Haines, Jonathan, Butkiewicz, Mariusz, Smieszek, Sandra, Bush, Will, Song, Yeunjoo, Vardarajan, Badri, Reitz, Christiane, Reyes, Dolly, Tosto, Giuseppe, De Jager, Phillip L, Mayeux, Richard, Barral, Sandra, Vanderspek, Ashley, van Duijn, Cornelia, Ikram, M Afran, Amin, Najaf, Amad, Shahzad, van der Lee, Sven, Faber, Kelley, Foroud, Tatiana, Schmidt, Helena, Schmidt, Reinhold, Renton, Alan, Goate, Alison, Marcora, Edoardo, Kapoor, Manav, Stine, Adam, Feolo, Michael, Launer, Lenore J., Bennett, David A, Xia, Li Charlie, Kunkle, Brian, Martin, Eden, Rajabli, Farid, Beecham, Gary, Jaworski, James, Hamilton-Nelson, Kara, Pericak-Vance, Margaret, Schmidt, Michael, Mosley, Thomas H., Kuzma, Amanda, Lin, Han-Jen, Qu, Liming, Wang, Micah Childress, Li-San, Valladares, Otto, Gangadharan, Prabhakaran, Cweibel, Rebecca, Zhao, Yi, Chou, Yi-Fan, Naj, Adam, Mlynarski, Elisabeth, Schellenberg, Gerard, Malamon, John, Cantwell, Laura, Zhang, Nancy, Wang, Weixin, Leung, Yuk Yee, Boerwinkle, Eric, Bressler, Jan, Below, Jennifer E., Fornage, Myriam, Liu, Xiaoming, Jian, Xueqiu, Nato, Alejandro Q, Jr., Horimoto, Andrea R, Wang, Bowen, Psaty, Bruce, Witten, Daniela, Tsuang, Debby, Blue, Elizabeth, Wijsman, Ellen, Sohi, Harkirat, Nguyen, Hiep, Bis, Joshua C., Rice, Kenneth, Brown, Lisa, Dorschner, Michael, Saad, Mohamad, Navas, Pat, Nafikov, Rafael, Thornton, Timothy, Day, Tyler, Cruchaga, Carlos, Koboldt, Daniel C., Larson, David E., Appelbaum, Elizabeth, Waligorski, Jason, Antonacci-Fulton, Lucinda, Wilson, Richard K., and Fulton, Robert S.

Published
2018
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