Author: "Simino, Jeannette" - Searchworks@Jio Institute Digital Library Search Results

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1. 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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2. 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

3. Education and Cardiovascular Health as Effect Modifiers of APOE ε4 on Dementia: The Atherosclerosis Risk in Communities Study.

Author: Lee, Mark, Hughes, Timothy M, George, Kristen M, Griswold, Michael E, Sedaghat, Sanaz, Simino, Jeannette, and Lutsey, Pamela L
Subjects: Atherosclerosis, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Genetics, Prevention, Dementia, Alzheimer's Disease, Brain Disorders, Neurosciences, Neurodegenerative, Cardiovascular, Aging, Acquired Cognitive Impairment, Heart Disease, Clinical Research, 2.3 Psychological, social and economic factors, Aetiology, 2.4 Surveillance and distribution, Neurological, Quality Education, Apolipoprotein E4, Apolipoproteins E, Cohort Studies, Female, Genotype, Humans, Male, Prospective Studies, Risk Factors, Cognitive aging, Gene by environment, Life Simple 7, Clinical Sciences, Gerontology
Abstract: Both education and cardiovascular risk factors are strongly associated with dementia risk. However, it is not clear whether these associations persist or vary among individuals with high genetic risk for Alzheimer's disease. We examined the interactive relationship between lifestyle and genetic dementia risk factors in a prospective cohort study. Our data came from the Atherosclerosis Risk in Communities study participants (n = 13 715; baseline age 45-64; 25% Black; 55% female), who were followed for incident dementia from 1987 through 2017. We used Cox proportional hazard models to estimate the risk of dementia (ascertained through in-person examination, telephone cognitive screeners, and/or hospital and death records) associated with baseline education and cardiovascular risk factors (measured using the American Heart Association's "Life Simple 7") among ε4 carriers and non-carriers separately. We also examined differences by race and sex. Two thousand two hundred and twenty-six incident dementia cases occurred over a median 25 years of follow-up. Lower educational attainment and poorer cardiovascular health were associated with greater risk of incident dementia. There was an education by apolipoprotein E (APOE) status interaction (p = .005) whereby the association of education and dementia was weaker for ε4 carriers (HR college graduates vs less than high school: 0.71 [0.59-0.84] than non-carriers (0.54 [0.47-0.63]). There was no interaction between APOE status and cardiovascular health on dementia risk. These relationships did not vary significantly by race or sex. Education and cardiovascular health were associated with lower dementia risk regardless of APOE genotype, though the protective effects of education were somewhat diminished among ε4 carriers.
Published: 2022

4. Associations of Pulmonary Function with MRI Brain Volumes: A Coordinated Multi-Study Analysis

Author: Frenzel, Stefan, Bis, Joshua C, Gudmundsson, Elias F, O’Donnell, Adrienne, Simino, Jeannette, Yaqub, Amber, Bartz, Traci M, Brusselle, Guy GO, Bülow, Robin, DeCarli, Charles S, Ewert, Ralf, Gharib, Sina A, Ghosh, Saptaparni, Gireud-Goss, Monica, Gottesman, Rebecca F, Ikram, M Arfan, Knopman, David S, Launer, Lenore J, London, Stephanie J, Longstreth, WT, Lopez, Oscar L, van Lent, Debora Melo, O’Connor, George, Satizabal, Claudia L, Shrestha, Srishti, Sigurdsson, Sigurdur, Stubbe, Beate, Talluri, Rajesh, Vasan, Ramachandran S, Vernooij, Meike W, Völzke, Henry, Wiggins, Kerri L, Yu, Bing, Beiser, Alexa S, Gudnason, Vilmundur, Mosley, Thomas, Psaty, Bruce M, Wolters, Frank J, Grabe, Hans J, and Seshadri, Sudha
Subjects: Brain Disorders, Lung, Neurosciences, Clinical Research, Aging, Humans, Aged, Forced Expiratory Volume, Cross-Sectional Studies, Magnetic Resonance Imaging, Brain, Dementia, epidemiology, magnetic resonance imaging, respiratory function tests, Clinical Sciences, Cognitive Sciences, Neurology & Neurosurgery
Abstract: BackgroundPrevious studies suggest poor pulmonary function is associated with increased burden of cerebral white matter hyperintensities and brain atrophy among elderly individuals, but the results are inconsistent.ObjectiveTo study the cross-sectional associations of pulmonary function with structural brain variables.MethodsData from six large community-based samples (N = 11,091) were analyzed. Spirometric measurements were standardized with respect to age, sex, height, and ethnicity using reference equations of the Global Lung Function Initiative. Associations of forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), and their ratio FEV1/FVC with brain volume, gray matter volume, hippocampal volume, and volume of white matter hyperintensities were investigated using multivariable linear regressions for each study separately and then combined using random-effect meta-analyses.ResultsFEV1 and FVC were positively associated with brain volume, gray matter volume, and hippocampal volume, and negatively associated with white matter hyperintensities volume after multiple testing correction, with little heterogeneity present between the studies. For instance, an increase of FVC by one unit was associated with 3.5 ml higher brain volume (95% CI: [2.2, 4.9]). In contrast, results for FEV1/FVC were more heterogeneous across studies, with significant positive associations with brain volume, gray matter volume, and hippocampal volume, but not white matter hyperintensities volume. Associations of brain variables with both FEV1 and FVC were consistently stronger than with FEV1/FVC, specifically with brain volume and white matter hyperintensities volume.ConclusionIn cross-sectional analyses, worse pulmonary function is associated with smaller brain volumes and higher white matter hyperintensities burden.
Published: 2022

5. 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

6. 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

7. Lung Function and Brain MRI Outcomes in the Atherosclerosis Risk in Communities Neurocognitive Study

Author: Shrestha, Srishti, primary, Zhu, Xiaoqian, additional, Sullivan, Kevin J., additional, Simino, Jeannette, additional, Lutsey, Pamela L., additional, Gottesman, Rebecca F., additional, London, Stephanie J., additional, Griswold, Michael E., additional, and Mosley,, Thomas H., additional
Published: 2024
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8. 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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9. 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

10. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study.

Author: Winkler, Thomas W, Justice, Anne E, Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F, Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O, Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H, Rüeger, Sina, Teumer, Alexander, Ehret, Georg B, Ferreira, Teresa, Heard-Costa, Nancy L, Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D, Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M, Jansen, Rick, Westra, Harm-Jan, White, Charles C, Absher, Devin, Ahluwalia, Tarunveer S, Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L, de Craen, Anton JM, Bis, Joshua C, Bonnefond, Amélie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston WK, Delgado, Graciela, Demirkan, Ayse, Dueker, Nicole, Eklund, Niina, Eiriksdottir, Gudny, Eriksson, Joel, Feenstra, Bjarke, Fischer, Krista, Frau, Francesca, Galesloot, Tessel E, Geller, Frank, Goel, Anuj, Gorski, Mathias, Grammer, Tanja B, Gustafsson, Stefan, Haitjema, Saskia, Hottenga, Jouke-Jan, Huffman, Jennifer E, Jackson, Anne U, Jacobs, Kevin B, Johansson, Åsa, Kaakinen, Marika, Kleber, Marcus E, Lahti, Jari, Mateo Leach, Irene, Lehne, Benjamin, Liu, Youfang, Lo, Ken Sin, Lorentzon, Mattias, Luan, Jian'an, Madden, Pamela AF, Mangino, Massimo, McKnight, Barbara, Medina-Gomez, Carolina, Monda, Keri L, Montasser, May E, Müller, Gabriele, Müller-Nurasyid, Martina, Nolte, Ilja M, Panoutsopoulou, Kalliope, Pascoe, Laura, Paternoster, Lavinia, Rayner, Nigel W, Renström, Frida, Rizzi, Federica, Rose, Lynda M, Ryan, Kathy A, Salo, Perttu, Sanna, Serena, Scharnagl, Hubert, Shi, Jianxin, Smith, Albert Vernon, Southam, Lorraine, Stančáková, Alena, Steinthorsdottir, Valgerdur, Strawbridge, Rona J, Sung, Yun Ju, and Tachmazidou, Ioanna
Subjects: CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, MAGIC Consortium, Humans, Genetic Predisposition to Disease, Body Mass Index, Body Size, Waist-Hip Ratio, Chromosome Mapping, Age Factors, Sex Characteristics, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, European Continental Ancestry Group, Female, Male, Genome-Wide Association Study, Developmental Biology, Genetics
Abstract: Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR
Published: 2015

11. Gene-Age Interactions in Blood Pressure Regulation: A Large-Scale Investigation with the CHARGE, Global BPgen, and ICBP Consortia

Author: Simino, Jeannette, Shi, Gang, Bis, Joshua C, Chasman, Daniel I, Ehret, Georg B, Gu, Xiangjun, Guo, Xiuqing, Hwang, Shih-Jen, Sijbrands, Eric, Smith, Albert V, Verwoert, Germaine C, Bragg-Gresham, Jennifer L, Cadby, Gemma, Chen, Peng, Cheng, Ching-Yu, Corre, Tanguy, de Boer, Rudolf A, Goel, Anuj, Johnson, Toby, Khor, Chiea-Chuen, Study, LifeLines Cohort, Alizadeh, Behrooz Z, Boezen, H Marike, Bruinenberg, Marcel, Franke, Lude, van der Harst, Pim, Hillege, Hans L, van der Klauw, Melanie M, Navis, Gerjan, Ormel, Johan, Postma, Dirkje S, Rosmalen, Judith GM, Slaets, Joris P, Snieder, Harold, Stolk, Ronald P, Wolffenbuttel, Bruce HR, Wijmenga, Cisca, Lluís-Ganella, Carla, Luan, Jian’an, Lyytikäinen, Leo-Pekka, Nolte, Ilja M, Sim, Xueling, Sõber, Siim, van der Most, Peter J, Verweij, Niek, Zhao, Jing Hua, Amin, Najaf, Boerwinkle, Eric, Bouchard, Claude, Dehghan, Abbas, Eiriksdottir, Gudny, Elosua, Roberto, Franco, Oscar H, Gieger, Christian, Harris, Tamara B, Hercberg, Serge, Hofman, Albert, James, Alan L, Johnson, Andrew D, Kähönen, Mika, Khaw, Kay-Tee, Kutalik, Zoltan, Larson, Martin G, Launer, Lenore J, Li, Guo, Liu, Jianjun, Liu, Kiang, Morrison, Alanna C, Ong, Rick Twee-Hee, Papanicolau, George J, Penninx, Brenda W, Psaty, Bruce M, Raffel, Leslie J, Raitakari, Olli T, Rice, Kenneth, Rivadeneira, Fernando, Rose, Lynda M, Sanna, Serena, Scott, Robert A, Siscovick, David S, Uitterlinden, Andre G, Vaidya, Dhananjay, Vasan, Ramachandran S, Vithana, Eranga Nishanthie, Völker, Uwe, Völzke, Henry, Watkins, Hugh, Young, Terri L, Aung, Tin, Bochud, Murielle, Farrall, Martin, Hartman, Catharina A, Laan, Maris, Lakatta, Edward G, Lehtimäki, Terho, and Loos, Ruth JF
Subjects: Epidemiology, Biological Sciences, Health Sciences, Genetics, Clinical Research, Human Genome, Aging, 2.1 Biological and endogenous factors, Aetiology, Adolescent, Adult, Age Factors, Aged, Blood Pressure, Cohort Studies, Humans, Middle Aged, Young Adult, LifeLines Cohort Study, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract: Although age-dependent effects on blood pressure (BP) have been reported, they have not been systematically investigated in large-scale genome-wide association studies (GWASs). We leveraged the infrastructure of three well-established consortia (CHARGE, GBPgen, and ICBP) and a nonstandard approach (age stratification and metaregression) to conduct a genome-wide search of common variants with age-dependent effects on systolic (SBP), diastolic (DBP), mean arterial (MAP), and pulse (PP) pressure. In a two-staged design using 99,241 individuals of European ancestry, we identified 20 genome-wide significant (p ≤ 5 × 10(-8)) loci by using joint tests of the SNP main effect and SNP-age interaction. Nine of the significant loci demonstrated nominal evidence of age-dependent effects on BP by tests of the interactions alone. Index SNPs in the EHBP1L1 (DBP and MAP), CASZ1 (SBP and MAP), and GOSR2 (PP) loci exhibited the largest age interactions, with opposite directions of effect in the young versus the old. The changes in the genetic effects over time were small but nonnegligible (up to 1.58 mm Hg over 60 years). The EHBP1L1 locus was discovered through gene-age interactions only in whites but had DBP main effects replicated (p = 8.3 × 10(-4)) in 8,682 Asians from Singapore, indicating potential interethnic heterogeneity. A secondary analysis revealed 22 loci with evidence of age-specific effects (e.g., only in 20 to 29-year-olds). Age can be used to select samples with larger genetic effect sizes and more homogenous phenotypes, which may increase statistical power. Age-dependent effects identified through novel statistical approaches can provide insight into the biology and temporal regulation underlying BP associations.
Published: 2014

12. Association of Plasma Aβ42/Aβ40 Ratio and Late-Onset Epilepsy

Author: Johnson, Emily L., primary, Sullivan, Kevin J., additional, Schneider, Andrea Lauren Christman, additional, Simino, Jeannette, additional, Mosley, Tom H., additional, Kucharska-Newton, Anna, additional, Knopman, David S., additional, and Gottesman, Rebecca F., additional
Published: 2023
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13. Meta-analysis of epigenome-wide association studies of cognitive abilities

Author: Marioni, Riccardo E., McRae, Allan F., Bressler, Jan, Colicino, Elena, Hannon, Eilis, Li, Shuo, Prada, Diddier, Smith, Jennifer A, Trevisi, Letizia, Tsai, Pei-Chien, Vojinovic, Dina, Simino, Jeannette, Levy, Daniel, Liu, Chunyu, Mendelson, Michael, Satizabal, Claudia L., Yang, Qiong, Jhun, Min A., Kardia, Sharon L. R., Zhao, Wei, Bandinelli, Stefania, Ferrucci, Luigi, Hernandez, Dena G., Singleton, Andrew B., Harris, Sarah E., Starr, John M., Kiel, Douglas P., McLean, Robert R., Just, Allan C., Schwartz, Joel, Spiro, III, Avron, Vokonas, Pantel, Amin, Najaf, Ikram, M. Arfan, Uitterlinden, Andre G., van Meurs, Joyce B. J., Spector, Tim D., Steves, Claire, Baccarelli, Andrea A., Bell, Jordana T., van Duijn, Cornelia M., Fornage, Myriam, Hsu, Yi-Hsiang, Mill, Jonathan, Mosley, Thomas H., Seshadri, Sudha, and Deary, Ian J.
Published: 2018
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14. Author Correction: Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function

Author: Davies, Gail, Lam, Max, Harris, Sarah E., Trampush, Joey W., Luciano, Michelle, Hill, W. David, Hagenaars, Saskia P., Ritchie, Stuart J., Marioni, Riccardo E., Fawns-Ritchie, Chloe, Liewald, David C. M., Okely, Judith A., Ahola-Olli, Ari V., Barnes, Catriona L. K., Bertram, Lars, Bis, Joshua C., Burdick, Katherine E., Christoforou, Andrea, DeRosse, Pamela, Djurovic, Srdjan, Espeseth, Thomas, Giakoumaki, Stella, Giddaluru, Sudheer, Gustavson, Daniel E., Hayward, Caroline, Hofer, Edith, Ikram, M. Arfan, Karlsson, Robert, Knowles, Emma, Lahti, Jari, Leber, Markus, Li, Shuo, Mather, Karen A., Melle, Ingrid, Morris, Derek, Oldmeadow, Christopher, Palviainen, Teemu, Payton, Antony, Pazoki, Raha, Petrovic, Katja, Reynolds, Chandra A., Sargurupremraj, Muralidharan, Scholz, Markus, Smith, Jennifer A., Smith, Albert V., Terzikhan, Natalie, Thalamuthu, Anbupalam, Trompet, Stella, van der Lee, Sven J., Ware, Erin B., Windham, B. Gwen, Wright, Margaret J., Yang, Jingyun, Yu, Jin, Ames, David, Amin, Najaf, Amouyel, Philippe, Andreassen, Ole A., Armstrong, Nicola J., Assareh, Amelia A., Attia, John R., Attix, Deborah, Avramopoulos, Dimitrios, Bennett, David A., Böhmer, Anne C., Boyle, Patricia A., Brodaty, Henry, Campbell, Harry, Cannon, Tyrone D., Cirulli, Elizabeth T., Congdon, Eliza, Conley, Emily Drabant, Corley, Janie, Cox, Simon R., Dale, Anders M., Dehghan, Abbas, Dick, Danielle, Dickinson, Dwight, Eriksson, Johan G., Evangelou, Evangelos, Faul, Jessica D., Ford, Ian, Freimer, Nelson A., Gao, He, Giegling, Ina, Gillespie, Nathan A., Gordon, Scott D., Gottesman, Rebecca F., Griswold, Michael E., Gudnason, Vilmundur, Harris, Tamara B., Hartmann, Annette M., Hatzimanolis, Alex, Heiss, Gerardo, Holliday, Elizabeth G., Joshi, Peter K., Kähönen, Mika, Kardia, Sharon L. R., Karlsson, Ida, Kleineidam, Luca, Knopman, David S., Kochan, Nicole A., Konte, Bettina, Kwok, John B., Le Hellard, Stephanie, Lee, Teresa, Lehtimäki, Terho, Li, Shu-Chen, Lill, Christina M., Liu, Tian, Koini, Marisa, London, Edythe, Longstreth, Jr, Will T., Lopez, Oscar L., Loukola, Anu, Luck, Tobias, Lundervold, Astri J., Lundquist, Anders, Lyytikäinen, Leo-Pekka, Martin, Nicholas G., Montgomery, Grant W., Murray, Alison D., Need, Anna C., Noordam, Raymond, Nyberg, Lars, Ollier, William, Papenberg, Goran, Pattie, Alison, Polasek, Ozren, Poldrack, Russell A., Psaty, Bruce M., Reppermund, Simone, Riedel-Heller, Steffi G., Rose, Richard J., Rotter, Jerome I., Roussos, Panos, Rovio, Suvi P., Saba, Yasaman, Sabb, Fred W., Sachdev, Perminder S., Satizabal, Claudia L., Schmid, Matthias, Scott, Rodney J., Scult, Matthew A., Simino, Jeannette, Slagboom, P. Eline, Smyrnis, Nikolaos, Soumaré, Aïcha, Stefanis, Nikos C., Stott, David J., Straub, Richard E., Sundet, Kjetil, Taylor, Adele M., Taylor, Kent D., Tzoulaki, Ioanna, Tzourio, Christophe, Uitterlinden, André, Vitart, Veronique, Voineskos, Aristotle N., Kaprio, Jaakko, Wagner, Michael, Wagner, Holger, Weinhold, Leonie, Wen, K. Hoyan, Widen, Elisabeth, Yang, Qiong, Zhao, Wei, Adams, Hieab H. H., Arking, Dan E., Bilder, Robert M., Bitsios, Panos, Boerwinkle, Eric, Chiba-Falek, Ornit, Corvin, Aiden, De Jager, Philip L., Debette, Stéphanie, Donohoe, Gary, Elliott, Paul, Fitzpatrick, Annette L., Gill, Michael, Glahn, David C., Hägg, Sara, Hansell, Narelle K., Hariri, Ahmad R., Ikram, M. Kamran, Jukema, J. Wouter, Vuoksimaa, Eero, Keller, Matthew C., Kremen, William S., Launer, Lenore, Lindenberger, Ulman, Palotie, Aarno, Pedersen, Nancy L., Pendleton, Neil, Porteous, David J., Räikkönen, Katri, Raitakari, Olli T., Ramirez, Alfredo, Reinvang, Ivar, Rudan, Igor, Dan Rujescu, Schmidt, Reinhold, Schmidt, Helena, Schofield, Peter W., Schofield, Peter R., Starr, John M., Steen, Vidar M., Trollor, Julian N., Turner, Steven T., Van Duijn, Cornelia M., Villringer, Arno, Weinberger, Daniel R., Weir, David R., Wilson, James F., Malhotra, Anil, McIntosh, Andrew M., Gale, Catharine R., Seshadri, Sudha, Mosley, Jr, Thomas H., Bressler, Jan, Lencz, Todd, and Deary, Ian J.
Published: 2019
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15. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function

Author: Davies, Gail, Lam, Max, Harris, Sarah E., Trampush, Joey W., Luciano, Michelle, Hill, W. David, Hagenaars, Saskia P., Ritchie, Stuart J., Marioni, Riccardo E., Fawns-Ritchie, Chloe, Liewald, David C. M., Okely, Judith A., Ahola-Olli, Ari V., Barnes, Catriona L. K., Bertram, Lars, Bis, Joshua C., Burdick, Katherine E., Christoforou, Andrea, DeRosse, Pamela, Djurovic, Srdjan, Espeseth, Thomas, Giakoumaki, Stella, Giddaluru, Sudheer, Gustavson, Daniel E., Hayward, Caroline, Hofer, Edith, Ikram, M. Arfan, Karlsson, Robert, Knowles, Emma, Lahti, Jari, Leber, Markus, Li, Shuo, Mather, Karen A., Melle, Ingrid, Morris, Derek, Oldmeadow, Christopher, Palviainen, Teemu, Payton, Antony, Pazoki, Raha, Petrovic, Katja, Reynolds, Chandra A., Sargurupremraj, Muralidharan, Scholz, Markus, Smith, Jennifer A., Smith, Albert V., Terzikhan, Natalie, Thalamuthu, Anbupalam, Trompet, Stella, van der Lee, Sven J., Ware, Erin B., Windham, B. Gwen, Wright, Margaret J., Yang, Jingyun, Yu, Jin, Ames, David, Amin, Najaf, Amouyel, Philippe, Andreassen, Ole A., Armstrong, Nicola J., Assareh, Amelia A., Attia, John R., Attix, Deborah, Avramopoulos, Dimitrios, Bennett, David A., Böhmer, Anne C., Boyle, Patricia A., Brodaty, Henry, Campbell, Harry, Cannon, Tyrone D., Cirulli, Elizabeth T., Congdon, Eliza, Conley, Emily Drabant, Corley, Janie, Cox, Simon R., Dale, Anders M., Dehghan, Abbas, Dick, Danielle, Dickinson, Dwight, Eriksson, Johan G., Evangelou, Evangelos, Faul, Jessica D., Ford, Ian, Freimer, Nelson A., Gao, He, Giegling, Ina, Gillespie, Nathan A., Gordon, Scott D., Gottesman, Rebecca F., Griswold, Michael E., Gudnason, Vilmundur, Harris, Tamara B., Hartmann, Annette M., Hatzimanolis, Alex, Heiss, Gerardo, Holliday, Elizabeth G., Joshi, Peter K., Kähönen, Mika, Kardia, Sharon L. R., Karlsson, Ida, Kleineidam, Luca, Knopman, David S., Kochan, Nicole A., Konte, Bettina, Kwok, John B., Le Hellard, Stephanie, Lee, Teresa, Lehtimäki, Terho, Li, Shu-Chen, Lill, Christina M., Liu, Tian, Koini, Marisa, London, Edythe, Longstreth, Jr, Will T., Lopez, Oscar L., Loukola, Anu, Luck, Tobias, Lundervold, Astri J., Lundquist, Anders, Lyytikäinen, Leo-Pekka, Martin, Nicholas G., Montgomery, Grant W., Murray, Alison D., Need, Anna C., Noordam, Raymond, Nyberg, Lars, Ollier, William, Papenberg, Goran, Pattie, Alison, Polasek, Ozren, Poldrack, Russell A., Psaty, Bruce M., Reppermund, Simone, Riedel-Heller, Steffi G., Rose, Richard J., Rotter, Jerome I., Roussos, Panos, Rovio, Suvi P., Saba, Yasaman, Sabb, Fred W., Sachdev, Perminder S., Satizabal, Claudia L., Schmid, Matthias, Scott, Rodney J., Scult, Matthew A., Simino, Jeannette, Slagboom, P. Eline, Smyrnis, Nikolaos, Soumaré, Aïcha, Stefanis, Nikos C., Stott, David J., Straub, Richard E., Sundet, Kjetil, Taylor, Adele M., Taylor, Kent D., Tzoulaki, Ioanna, Tzourio, Christophe, Uitterlinden, André, Vitart, Veronique, Voineskos, Aristotle N., Kaprio, Jaakko, Wagner, Michael, Wagner, Holger, Weinhold, Leonie, Wen, K. Hoyan, Widen, Elisabeth, Yang, Qiong, Zhao, Wei, Adams, Hieab H. H., Arking, Dan E., Bilder, Robert M., Bitsios, Panos, Boerwinkle, Eric, Chiba-Falek, Ornit, Corvin, Aiden, De Jager, Philip L., Debette, Stéphanie, Donohoe, Gary, Elliott, Paul, Fitzpatrick, Annette L., Gill, Michael, Glahn, David C., Hägg, Sara, Hansell, Narelle K., Hariri, Ahmad R., Ikram, M. Kamran, Jukema, J. Wouter, Vuoksimaa, Eero, Keller, Matthew C., Kremen, William S., Launer, Lenore, Lindenberger, Ulman, Palotie, Aarno, Pedersen, Nancy L., Pendleton, Neil, Porteous, David J., Räikkönen, Katri, Raitakari, Olli T., Ramirez, Alfredo, Reinvang, Ivar, Rudan, Igor, Dan Rujescu, Schmidt, Reinhold, Schmidt, Helena, Schofield, Peter W., Schofield, Peter R., Starr, John M., Steen, Vidar M., Trollor, Julian N., Turner, Steven T., Van Duijn, Cornelia M., Villringer, Arno, Weinberger, Daniel R., Weir, David R., Wilson, James F., Malhotra, Anil, McIntosh, Andrew M., Gale, Catharine R., Seshadri, Sudha, Mosley, Jr, Thomas H., Bressler, Jan, Lencz, Todd, and Deary, Ian J.
Published: 2018
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16. Associations of Pulmonary Function with MRI Brain Volumes:A Coordinated Multi-Study Analysis

Author: Frenzel, Stefan, Bis, Joshua C., Gudmundsson, Elias F., O'Donnell, Adrienne, Simino, Jeannette, Yaqub, Amber, Bartz, Traci M., Brusselle, Guy G.O., Bülow, Robin, DeCarli, Charles S., Ewert, Ralf, Gharib, Sina A., Ghosh, Saptaparni, Gireud-Goss, Monica, Gottesman, Rebecca F., Ikram, M. Arfan, Knopman, David S., Launer, Lenore J., London, Stephanie J., Longstreth, W. T., Lopez, Oscar L., Melo van Lent, Debora, O'Connor, George, Satizabal, Claudia L., Shrestha, Srishti, Sigurdsson, Sigurdur, Stubbe, Beate, Talluri, Rajesh, Vasan, Ramachandran S., Vernooij, Meike W., Völzke, Henry, Wiggins, Kerri L., Yu, Bing, Beiser, Alexa S., Gudnason, Vilmundur, Mosley, Thomas, Psaty, Bruce M., Wolters, Frank J., Grabe, Hans J., Seshadri, Sudha, Frenzel, Stefan, Bis, Joshua C., Gudmundsson, Elias F., O'Donnell, Adrienne, Simino, Jeannette, Yaqub, Amber, Bartz, Traci M., Brusselle, Guy G.O., Bülow, Robin, DeCarli, Charles S., Ewert, Ralf, Gharib, Sina A., Ghosh, Saptaparni, Gireud-Goss, Monica, Gottesman, Rebecca F., Ikram, M. Arfan, Knopman, David S., Launer, Lenore J., London, Stephanie J., Longstreth, W. T., Lopez, Oscar L., Melo van Lent, Debora, O'Connor, George, Satizabal, Claudia L., Shrestha, Srishti, Sigurdsson, Sigurdur, Stubbe, Beate, Talluri, Rajesh, Vasan, Ramachandran S., Vernooij, Meike W., Völzke, Henry, Wiggins, Kerri L., Yu, Bing, Beiser, Alexa S., Gudnason, Vilmundur, Mosley, Thomas, Psaty, Bruce M., Wolters, Frank J., Grabe, Hans J., and Seshadri, Sudha
Abstract: BACKGROUND: Previous studies suggest poor pulmonary function is associated with increased burden of cerebral white matter hyperintensities and brain atrophy among elderly individuals, but the results are inconsistent. OBJECTIVE: To study the cross-sectional associations of pulmonary function with structural brain variables. METHODS: Data from six large community-based samples (N = 11,091) were analyzed. Spirometric measurements were standardized with respect to age, sex, height, and ethnicity using reference equations of the Global Lung Function Initiative. Associations of forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), and their ratio FEV1/FVC with brain volume, gray matter volume, hippocampal volume, and volume of white matter hyperintensities were investigated using multivariable linear regressions for each study separately and then combined using random-effect meta-analyses. RESULTS: FEV1 and FVC were positively associated with brain volume, gray matter volume, and hippocampal volume, and negatively associated with white matter hyperintensities volume after multiple testing correction, with little heterogeneity present between the studies. For instance, an increase of FVC by one unit was associated with 3.5 ml higher brain volume (95% CI: [2.2, 4.9]). In contrast, results for FEV1/FVC were more heterogeneous across studies, with significant positive associations with brain volume, gray matter volume, and hippocampal volume, but not white matter hyperintensities volume. Associations of brain variables with both FEV1 and FVC were consistently stronger than with FEV1/FVC, specifically with brain volume and white matter hyperintensities volume. CONCLUSION: In cross-sectional analyses, worse pulmonary function is associated with smaller brain volumes and higher white matter hyperintensities burden.
Published: 2022

17. Neuroimaging Correlates of Cerebral Microbleeds: The ARIC Study (Atherosclerosis Risk in Communities)

Author: Graff-Radford, Jonathan, Simino, Jeannette, Kantarci, Kejal, Mosley, Thomas H., Jr, Griswold, Michael E., Windham, B. Gwen, Sharrett, A. Richey, Albert, Marilyn S., Gottesman, Rebecca F., Jack, Clifford R., Jr, Vemuri, Prashanthi, and Knopman, David S.
Published: 2017
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18. Genetic Risk, Midlife Life's Simple 7, and Incident Dementia in the Atherosclerosis Risk in Communities Study

Author: Tin, Adrienne, primary, Bressler, Jan, additional, Simino, Jeannette, additional, Sullivan, Kevin J., additional, Mei, Hao, additional, Windham, B. Gwen, additional, Griswold, Michael, additional, Gottesman, Rebecca F., additional, Boerwinkle, Eric, additional, Fornage, Myriam, additional, and Mosley, Thomas H., additional
Published: 2022
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19. Abstract EP43: Obesity And Incident Cardiovascular Disease (CVD): The Jackson Heart Study

Author: Gao, Yan, primary, Simino, Jeannette M, additional, Hsu, Chiu-hsieh, additional, Correa, Adolfo, additional, and Min, Nancy, additional
Published: 2022
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20. Whole Exome Sequence Study of Mild Cognitive Impairment in African and European Americans; the Atherosclerosis Risk in Communities‐Neurocognitive Study

Author: Mahmud, Shamsed, primary, Mei, Hao, additional, Tin, Adrienne, additional, Bressler, Jan, additional, Pruett, William A, additional, Fornage, Myriam, additional, Huang, Juebin, additional, Boerwinkle, Eric, additional, Mosley, Thomas H, additional, and Simino, Jeannette, additional
Published: 2021
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21. Education and Cardiovascular Health as Effect Modifiers of APOE ε4 on Dementia: The Atherosclerosis Risk in Communities Study

Author: Lee, Mark, primary, Hughes, Timothy M, additional, George, Kristen M, additional, Griswold, Michael E, additional, Sedaghat, Sanaz, additional, Simino, Jeannette, additional, and Lutsey, Pamela L, additional
Published: 2021
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22. Association of Midlife Plasma Amyloid-β Levels With Cognitive Impairment in Late Life

Author: Sullivan, Kevin J., primary, Blackshear, Chad, additional, Simino, Jeannette, additional, Tin, Adrienne, additional, Walker, Keenan A., additional, Sharrett, A. Richey, additional, Younkin, Steven, additional, Gottesman, Rebecca F., additional, Mielke, Michelle M., additional, Knopman, David, additional, Windham, B. Gwen, additional, Griswold, Michael E., additional, and Mosley, Thomas H., additional
Published: 2021
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23. 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 L.R., 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, Boerwinkle, Eric, Breaux, Camille, Bressler, Jan, Chaar, Dima, MHI, Clarkson-Townsend, Danielle, Cooper, Brigidann, Coresh, Josef, Correa, Adolfo, DeStefano, Anita, Ding, Jingzhong, Fardo, David, Fitzpatrick, Annette, Fornage, Myriam, 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, Raffield, Laura, Ranaweera, Yugandi, Reiner, Alex, Rotter, Jerome, Sargurupremraj, Muralidharan, Sarnowski, Chloé, Satizabal, Claudia, Schellenberg, Gerard, Schoenbein, Bonnie L, Seshadri, Sudha, Shade, Lincoln, Short, Meghan I, Simino, Jeannette, Smith, Jennifer, Smith, Mallorie, Smoller, Sylvia, Snively, Beverly, Soemedi, Rachel, Sokolow, Sophie, Thorington, Daune, Thornton, Timothy A., Yanek, Lisa, Yang, Qiong, Yu, Miao, Zare, Habil, Zhao, Wei, Abecasis, Goncalo, Abhyankar, Avinash, Aldred, Micheala, Arking, Dan, Ashley-Koch, Allison, Aviv, Abraham, Barnes, Kathleen, Barron-Casella, Emily, Battle, Stephanie, Blackwell, Thomas, Burkardt, Deepika, Castellani, Christina A, Comhair, Suzy, Cooper, Brigidann, Correa, Adolfo, Crockett, Phyllis, de Andrade, Mariza, DeMeo, Dawn, DePaoli, Maria Rizzo, Ding, Jun, Dobski, Christine, Erzurum, Serpil, Farha, Samar, Fetterman, Jessica, Floyd, Caitlin, Fu, Mao, Gist, Amber, Granot-Hershkovitz, Einat, Gu, C. Charles, Heemann, Scott, Hernandez, Ryan, Hong, Yun Soo, Hsu, Yi-Hsiang, Justice, Anne, Lange, Leslie, Levy, Dan, Lin, Honghuang, Liu, Chunyu, Longchamps, Ryan, Ma, Jiantao, Manson, JoAnn, Markus, Tammy, McDonald, Merry-Lynn, McGarvey, Stephen, Mikulla, Julie, Montgomery, Courtney, Musunuri, Rajeeva Lochan, O'Connell, Jeff, Oppong, Richard, Pankratz, Nathan, Qian, Yong, Rotter, Jerome, Shaw, Jessica R, Smith, Albert Vernon, Sofer, Tamar, Streeten, Elizabeth, Tang, Weihong, Taylor, Kent D., Telen, Marilyn, Thompson, Shelby, Thorington, Daune, Tiwari, Hemant, Walsh, Ann, Wan, Emily, Wang, Cuicui, Wang, Heming, Wang, Penglong, Weir, Bruce, Williams, L. Keoki, Wilson, James, Xiao, Shujie, Xu, Weiling, Yang, Yu-Chung, and Zhao, Wei
Published: 2023
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24. Between Candidate Genes and Whole Genomes: Time for Alternative Approaches in Blood Pressure Genetics

Author: Basson, Jacob, Simino, Jeannette, and Rao, D. C.
Published: 2012
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25. Neuroimaging correlates of cerebral microbleeds: The Atherosclerosis Risk in Communities (ARIC) study

Author: Graff-Radford, Jonathan, Simino, Jeannette, Kantarci, Kejal, Mosley, Thomas H., Griswold, Michael E., Windham, B. Gwen, Sharrett, A. Richey, Albert, Marilyn S., Gottesman, Rebecca F., Jack, Clifford R., Vemuri, Prashanthi, and Knopman, David S.
Subjects: Aged, 80 and over, Male, Risk Factors, Humans, Female, Neuroimaging, Prospective Studies, Middle Aged, Atherosclerosis, Article, Aged, Cerebral Hemorrhage
Abstract: Cerebral microbleed (CMB) location (deep versus strictly lobar) may elucidate underlying pathology with deep CMBs being more associated with hypertensive vascular disease and lobar CMBs being more associated with cerebral amyloid angiopathy. The objective of this study was to determine whether neuroimaging signs of vascular disease and Alzheimer pathology are associated with different types of CMBs.Among 1677 nondemented ARIC (Atherosclerosis Risk in Communities) participants (mean age=76±5 years; 40% men; 26% black) with 3-Tesla MRI scans at the fifth examination (2011-2013), we fit multinomial logistic regression models to quantify relationships of brain volumes (Alzheimer disease signature regions, total gray matter, frontal gray matter, and white matter hyperintensity volumes), infarct frequencies (lacunar, nonlacunar, and total), and apolipoprotein E (number of ε4 alleles) with CMB location (none, deep/mixed, or strictly lobar CMBs). Models were weighted for the sample selection scheme and adjusted for age, sex, education, hypertension, ever smoking status, diabetes mellitus, race site membership, and estimated intracranial volume (brain volume models only).Deep/mixed and strictly lobar CMBs had prevalences of 8% and 16%, respectively. Larger white matter hyperintensity burden, greater total infarct frequency, smaller frontal volumes (in women only), and smaller total gray matter volume were associated with greater risk of both deep and lobar CMBs relative to no CMBs. Greater white matter hyperintensity volume was also associated with greater risk of deep relative to lobar CMBs. Higher lacunar and nonlacunar infarct frequencies were associated with higher risk of deep CMBs, whereas smaller Alzheimer disease signature region volume and apolipoprotein E ε4 homozygosity were associated with greater risk of lobar CMBs.CMBs are a common vascular pathology in the elderly. Markers of hypertensive small-vessel disease may contribute to deep CMBs while cerebral amyloid angiopathy may drive development of lobar CMBs.
Published: 2017

26. The PPARG Pro12Ala Polymorphism and 20-year Cognitive Decline

Author: West, Nancy A., primary, Tingle, Jonathan V., additional, Simino, Jeannette, additional, Selvin, Elizabeth, additional, Bressler, Jan, additional, and Mosley, Thomas H., additional
Published: 2018
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27. Five Blood Pressure Loci Identified by an Updated Genome-Wide Linkage Scan: Meta-Analysis of the Family Blood Pressure Program

Author: Simino, Jeannette, Shi, Gang, Kume, Rezart, Schwander, Karen, Province, Michael A., Gu, C. Charles, Kardia, Sharon, Chakravarti, Aravinda, Ehret, Georg, Olshen, Richard A., Turner, Stephen T., Ho, Low-Tone, Zhu, Xiaofeng, Jaquish, Cashell, Paltoo, Dina, Cooper, Richard S., Weder, Alan, Curb, J. David, Boerwinkle, Eric, Hunt, Steven C., Rao, Dabeeru C., Simino, Jeannette, Shi, Gang, Kume, Rezart, Schwander, Karen, Province, Michael A., Gu, C. Charles, Kardia, Sharon, Chakravarti, Aravinda, Ehret, Georg, Olshen, Richard A., Turner, Stephen T., Ho, Low-Tone, Zhu, Xiaofeng, Jaquish, Cashell, Paltoo, Dina, Cooper, Richard S., Weder, Alan, Curb, J. David, Boerwinkle, Eric, Hunt, Steven C., and Rao, Dabeeru C.
Abstract: Background A preliminary genome-wide linkage analysis of blood pressure in the Family Blood Pressure Program (FBPP) was reported previously. We harnessed the power and ethnic diversity of the final pooled FBPP dataset to identify novel loci for blood pressure thereby enhancing localization of genes containing less common variants with large effects on blood pressure levels and hypertension. Methods We performed one overall and 4 race-specific meta-analyses of genome-wide blood pressure linkage scans using data on 4,226African-American, 2,154 Asian, 4,229 Caucasian, and 2,435 Mexican- American participants (total N = 13,044). Variance components models were fit to measured (raw) blood pressure levels and two types of antihypertensive medication adjusted blood pressure phenotypes within each of 10 subgroups defined by race and network. A modified Fisher's method was used to combine the P values for each linkage marker across the 10 subgroups. Results Five quantitative trait loci (QTLs) were detected on chromosomes 6p22.3, 8q23.1, 20q13.12, 21q21.1, and 21q21.3 based on significant linkage evidence (defined by logarithm of odds (lod) score ≥3) in at least one meta-analysis and lod scores ≥1 in at least 2 subgroups defined by network and race. The chromosome 8q23.1 locus was supported by Asian-, Caucasian-, and Mexican-American-specific meta-analyses. Conclusions The new QTLs reported justify new candidate gene studies. They may help support results from genome-wide association studies (GWAS) that fall in these QTL regions but fail to achieve the genome-wide significance. American Journal of Hypertension advance online publication 9 December 2010;doi:10.1038/ajh.2010.238
Published: 2017

28. Correction: The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study

Author: Winkler, Thomas W, Justice, Anne E, Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F, Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O, Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H, Rüeger, Sina, Teumer, Alexander, Ehret, Georg B, Ferreira, Teresa, Heard-Costa, Nancy L, Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D, Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M, Jansen, Rick, Westra, Harm-Jan, White, Charles C, Absher, Devin, Ahluwalia, Tarunveer S, Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L, de Craen, Anton J M, Bis, Joshua C, Bonnefond, Amélie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston W K, Haitjema, Saskia, van der Laan, Sander W, van Setten, Jessica, Asselbergs, Folkert W, de Bakker, Paul I W, Moll, Frans L, Pasterkamp, Gerard, and den Ruijter, Hester M
Subjects: Published Erratum
Abstract: [This corrects the article DOI: 10.1371/journal.pgen.1005378.].
Published: 2016

29. Ninety-nine independent genetic loci influencing general cognitive function include genes associated with brain health and structure (N = 280,360)

Author: Davies, Gail, primary, Lam, Max, additional, Harris, Sarah E, additional, Trampush, Joey W, additional, Luciano, Michelle, additional, Hill, W David, additional, Hagenaars, Saskia P, additional, Ritchie, Stuart J, additional, Marioni, Riccardo E, additional, Fawns-Ritchie, Chloe, additional, Liewald, David CM, additional, Okely, Judith A, additional, Ahola-Olli, Ari V, additional, Barnes, Catriona LK, additional, Bertram, Lars, additional, Bis, Joshua C, additional, Burdick, Katherine E, additional, Christoforou, Andrea, additional, DeRosse, Pamela, additional, Djurovic, Srdjan, additional, Espeseth, Thomas, additional, Giakoumaki, Stella, additional, Giddaluru, Sudheer, additional, Gustavson, Daniel E, additional, Hayward, Caroline, additional, Hofer, Edith, additional, Ikram, M Arfan, additional, Karlsson, Robert, additional, Knowles, Emma, additional, Lahti, Jari, additional, Leber, Markus, additional, Li, Shuo, additional, Mather, Karen A, additional, Melle, Ingrid, additional, Morris, Derek, additional, Oldmeadow, Christopher, additional, Palviainen, Teemu, additional, Payton, Antony, additional, Pazoki, Raha, additional, Petrovic, Katja, additional, Reynolds, Chandra A, additional, Sargurupremraj, Muralidharan, additional, Scholz, Markus, additional, Smith, Jennifer A, additional, Smith, Albert V, additional, Terzikhan, Natalie, additional, Thalamuthu, Anbu, additional, Trompet, Stella, additional, Lee, Sven J van der, additional, Ware, Erin B, additional, Windham, B Gwen, additional, Wright, Margaret J, additional, Yang, Jingyun, additional, Yu, Jin, additional, Ames, David, additional, Amin, Najaf, additional, Amouyel, Philippe, additional, Andreassen, Ole A, additional, Armstrong, Nicola J, additional, Assareh, Amelia A, additional, Attia, John R, additional, Attix, Deborah, additional, Avramopoulos, Dimitrios, additional, Bennett, David A, additional, Böhmer, Anne C, additional, Boyle, Patricia A, additional, Brodaty, Henry, additional, Campbell, Harry, additional, Cannon, Tyrone D, additional, Cirulli, Elizabeth T, additional, Congdon, Eliza, additional, Conley, Emily Drabant, additional, Corley, Janie, additional, Cox, Simon R, additional, Dale, Anders M, additional, Dehghan, Abbas, additional, Dick, Danielle, additional, Dickinson, Dwight, additional, Eriksson, Johan G, additional, Evangelou, Evangelos, additional, Faul, Jessica D, additional, Ford, Ian, additional, Freimer, Nelson A, additional, Gao, He, additional, Giegling, Ina, additional, Gillespie, Nathan A, additional, Gordon, Scott D, additional, Gottesman, Rebecca F, additional, Griswold, Michael E, additional, Gudnason, Vilmundur, additional, Harris, Tamara B, additional, Hartmann, Annette M, additional, Hatzimanolis, Alex, additional, Heiss, Gerardo, additional, Holliday, Elizabeth G, additional, Joshi, Peter K, additional, Kähönen, Mika, additional, Kardia, Sharon LR, additional, Karlsson, Ida, additional, Kleineidam, Luca, additional, Knopman, David S, additional, Kochan, Nicole A, additional, Konte, Bettina, additional, Kwok, John B, additional, Hellard, Stephanie Le, additional, Lee, Teresa, additional, Lehtimäki, Terho, additional, Li, Shu-Chen, additional, Liu, Tian, additional, Koini, Marisa, additional, London, Edythe, additional, Longstreth, Will T, additional, Lopez, Oscar L, additional, Loukola, Anu, additional, Luck, Tobias, additional, Lundervold, Astri J, additional, Lundquist, Anders, additional, Lyytikäinen, Leo-Pekka, additional, Martin, Nicholas G, additional, Montgomery, Grant W, additional, Murray, Alison D, additional, Need, Anna C, additional, Noordam, Raymond, additional, Nyberg, Lars, additional, Ollier, William, additional, Papenberg, Goran, additional, Pattie, Alison, additional, Polasek, Ozren, additional, Poldrack, Russell A, additional, Psaty, Bruce M, additional, Reppermund, Simone, additional, Riedel-Heller, Steffi G, additional, Rose, Richard J, additional, Rotter, Jerome I, additional, Roussos, Panos, additional, Rovio, Suvi P, additional, Saba, Yasaman, additional, Sabb, Fred W, additional, Sachdev, Perminder S, additional, Satizabal, Claudia, additional, Schmid, Matthias, additional, Scott, Rodney J, additional, Scult, Matthew A, additional, Simino, Jeannette, additional, Slagboom, P Eline, additional, Smyrnis, Nikolaos, additional, Soumaré, Aïcha, additional, Stefanis, Nikos C, additional, Stott, David J, additional, Straub, Richard E, additional, Sundet, Kjetil, additional, Taylor, Adele M, additional, Taylor, Kent D, additional, Tzoulaki, Ioanna, additional, Tzourio, Christophe, additional, Uitterlinden, André, additional, Vitart, Veronique, additional, Voineskos, Aristotle N, additional, Kaprio, Jaakko, additional, Wagner, Michael, additional, Wagner, Holger, additional, Weinhold, Leonie, additional, Wen, K Hoyan, additional, Widen, Elisabeth, additional, Yang, Qiong, additional, Zhao, Wei, additional, Adams, Hieab HH, additional, Arking, Dan E, additional, Bilder, Robert M, additional, Bitsios, Panos, additional, Boerwinkle, Eric, additional, Chiba-Falek, Ornit, additional, Corvin, Aiden, additional, Jager, Philip L De, additional, Debette, Stéphanie, additional, Donohoe, Gary, additional, Elliott, Paul, additional, Fitzpatrick, Annette L, additional, Gill, Michael, additional, Glahn, David C, additional, Hägg, Sara, additional, Hansell, Narelle K, additional, Hariri, Ahmad R, additional, Ikram, M Kamran, additional, Jukema, J. Wouter, additional, Vuoksimaa, Eero, additional, Keller, Matthew C, additional, Kremen, William S, additional, Launer, Lenore, additional, Lindenberger, Ulman, additional, Palotie, Aarno, additional, Pedersen, Nancy L, additional, Pendleton, Neil, additional, Porteous, David J, additional, Räikkönen, Katri, additional, Raitakari, Olli T, additional, Ramirez, Alfredo, additional, Reinvang, Ivar, additional, Rudan, Igor, additional, Rujescu, Dan, additional, Schmidt, Reinhold, additional, Schmidt, Helena, additional, Schofield, Peter W, additional, Schofield, Peter R, additional, Starr, John M, additional, Steen, Vidar M, additional, Trollor, Julian N, additional, Turner, Steven T, additional, Duijn, Cornelia M Van, additional, Villringer, Arno, additional, Weinberger, Daniel R, additional, Weir, David R, additional, Wilson, James F, additional, Malhotra, Anil, additional, McIntosh, Andrew M, additional, Gale, Catharine R, additional, Seshadri, Sudha, additional, Mosley, Thomas H., additional, Bressler, Jan, additional, Lencz, Todd, additional, and Deary, Ian J, additional
Published: 2017
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30. Whole exome sequence-based association analyses of plasma amyloid-β in African and European Americans; the Atherosclerosis Risk in Communities-Neurocognitive Study

Author: Simino, Jeannette, primary, Wang, Zhiying, additional, Bressler, Jan, additional, Chouraki, Vincent, additional, Yang, Qiong, additional, Younkin, Steven G., additional, Seshadri, Sudha, additional, Fornage, Myriam, additional, Boerwinkle, Eric, additional, and Mosley, Thomas H., additional
Published: 2017
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31. Role of autoregulation of cerebral blood flow in diabetes‐related Alzheimer‐Like Cognitive Deficits

Author: Wang, Shaoxun, primary, Yu, Hongwei, additional, Lv, Wenshan, additional, Li, Longyang, additional, Mims, Paige N., additional, Maeda, Kenji J., additional, Wang, Yangang, additional, Rajkowska, Grazyna K., additional, Williams, Jan M., additional, Paul, Ian, additional, Simino, Jeannette, additional, Auchus, Alexander P., additional, Mosley, Thomas H., additional, Jacob, Howard, additional, Roman, Richard J., additional, and Fan, Fan, additional
Published: 2017
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32. Abstract 94: Prevalence and Distinct Imaging Correlates of Deep Versus Lobar Cerebral Microbleeds: The Atherosclerosis Risk in Communities Study

Author: Graff-Radford, Jonathan, primary, Simino, Jeannette, additional, Mosley, Thomas H, additional, Griswold, Michael E, additional, Windham, Beverly G, additional, Gottesman, Rebecca F, additional, Sharrett, Albert R, additional, Albert, Marilyn, additional, Jack, Cliff R, additional, Kantarci, Kejal, additional, Vemuri, Prashanthi, additional, and Knopman, David S, additional
Published: 2017
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33. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape : A Large-Scale Genome-Wide Interaction Study

Author: Winkler, Thomas W., Justice, Anne E., Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F., Chu, Su, Czajkowski, Jacek, Esko, Tonu, Fall, Tove, Kilpelainen, Tuomas O., Lu, Yingchang, Magi, Reedik, Mihailov, Evelin, Pers, Tune H., Rueeger, Sina, Teumer, Alexander, Ehret, Georg B., Ferreira, Teresa, Heard-Costa, Nancy L., Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D., Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M., Jansen, Rick, Westra, Harm-Jan, White, Charles C., Absher, Devin, Ahluwalia, Tarunveer S., Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L., de Craen, Anton J. M., Bis, Joshua C., Bonnefond, Amelie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston W. K., Haitjema, Saskia, van der Laan, Sander W., van Setten, Jessica, Asselbergs, Folkert W., de Bakker, Paul I. W., Moll, Frans L., Pasterkamp, Gerard, den Ruijter, Hester M., CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, and MAGIC Consortium
Subjects: COMMON SNPS, LIFE-COURSE, MASS INDEX, SELF-REPORTED HEIGHT, BIOLOGICAL PATHWAYS, LOCI, FAT DISTRIBUTION, NATURAL MENOPAUSE, PERIPHERAL-BLOOD, WEIGHT-GAIN
Abstract: Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age-and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to similar to 2.8M SNPs with BMI and WHRadjBMI in four strata (men 50y, women 50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR= 50y). No sex-dependent effects were identified for BMI. For WHRadjBMI, we identified 44 loci (27 previously established for main effects, 17 novel) with sex-specific effects, of which 28 showed larger effects in women than in men, five showed larger effects in men than in women, and 11 showed opposite effects between sexes. No age-dependent effects were identified for WHRadjBMI. This is the first genome-wide interaction meta-analysis to report convincing evidence of age-dependent genetic effects on BMI. In addition, we confirm the sex-specificity of genetic effects on WHRadjBMI. These results may providefurther insights into the biology that underlies weight change with age or the sexually dimorphism of body shape.
Published: 2015

34. snpGeneSets: An R Package for Genome-Wide Study Annotation

Author: Mei, Hao, primary, Li, Lianna, additional, Jiang, Fan, additional, Simino, Jeannette, additional, Griswold, Michael, additional, Mosley, Thomas, additional, and Liu, Shijian, additional
Published: 2016
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35. Correction: The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study

Author: Winkler, Thomas W., Justice, Anne E., Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F., Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O., Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H., Rüeger, Sina, Teumer, Alexander, Ehret, Georg B., Ferreira, Teresa, Heard-Costa, Nancy L., Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D., Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M., Jansen, Rick, Westra, Harm-Jan, White, Charles C., Absher, Devin, Ahluwalia, Tarunveer S., Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L., de Craen, Anton J. M., Bis, Joshua C., Bonnefond, Amélie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston W. K., Delgado, Graciela, Demirkan, Ayse, Dueker, Nicole, Eklund, Niina, Eiriksdottir, Gudny, Eriksson, Joel, Feenstra, Bjarke, Fischer, Krista, Winkler, Thomas W., Justice, Anne E., Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F., Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O., Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H., Rüeger, Sina, Teumer, Alexander, Ehret, Georg B., Ferreira, Teresa, Heard-Costa, Nancy L., Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D., Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M., Jansen, Rick, Westra, Harm-Jan, White, Charles C., Absher, Devin, Ahluwalia, Tarunveer S., Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L., de Craen, Anton J. M., Bis, Joshua C., Bonnefond, Amélie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston W. K., Delgado, Graciela, Demirkan, Ayse, Dueker, Nicole, Eklund, Niina, Eiriksdottir, Gudny, Eriksson, Joel, Feenstra, Bjarke, and Fischer, Krista
Published: 2016
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36. Correction: The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study

Author: Experimentele Afd. Cardiologie 1, Circulatory Health, Cardiologie, CMM Groep Kaaij, Brain, Infection & Immunity, Zorgeenheid Vaatchirurgie Medisch, CDL Cluster Onderzoek en Onderwijs, Onderzoek Vrouw Hart & Vaatziekten, Winkler, Thomas W, Justice, Anne E, Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F, Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O, Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H, Rüeger, Sina, Teumer, Alexander, Ehret, Georg B, Ferreira, Teresa, Heard-Costa, Nancy L, Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D, Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M, Jansen, Rick, Westra, Harm-Jan, White, Charles C, Absher, Devin, Ahluwalia, Tarunveer S, Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L, de Craen, Anton J M, Bis, Joshua C, Bonnefond, Amélie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston W K, Haitjema, Saskia, van der Laan, Sander W, van Setten, Jessica, Asselbergs, Folkert W, de Bakker, Paul I W, Moll, Frans L, Pasterkamp, Gerard, den Ruijter, Hester M, arcOGEN Consortium, Experimentele Afd. Cardiologie 1, Circulatory Health, Cardiologie, CMM Groep Kaaij, Brain, Infection & Immunity, Zorgeenheid Vaatchirurgie Medisch, CDL Cluster Onderzoek en Onderwijs, Onderzoek Vrouw Hart & Vaatziekten, Winkler, Thomas W, Justice, Anne E, Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F, Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O, Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H, Rüeger, Sina, Teumer, Alexander, Ehret, Georg B, Ferreira, Teresa, Heard-Costa, Nancy L, Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D, Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M, Jansen, Rick, Westra, Harm-Jan, White, Charles C, Absher, Devin, Ahluwalia, Tarunveer S, Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L, de Craen, Anton J M, Bis, Joshua C, Bonnefond, Amélie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston W K, Haitjema, Saskia, van der Laan, Sander W, van Setten, Jessica, Asselbergs, Folkert W, de Bakker, Paul I W, Moll, Frans L, Pasterkamp, Gerard, den Ruijter, Hester M, and arcOGEN Consortium
Published: 2016

37. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study

Author: Winkler, Thomas W, Justice, Anne E, Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F, Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O, Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H, Rüeger, Sina, Teumer, Alexander, Ehret, Georg B, Ferreira, Teresa, Heard-Costa, Nancy L, Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D, Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M, Jansen, Rick, Westra, Harm-Jan, White, Charles C, Absher, Devin, Ahluwalia, Tarunveer S, Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L, de Craen, Anton JM, Bis, Joshua C, Bonnefond, Amélie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston WK, Delgado, Graciela, Demirkan, Ayse, Dueker, Nicole, Eklund, Niina, Eiriksdottir, Gudny, Eriksson, Joel, Feenstra, Bjarke, Fischer, Krista, Frau, Francesca, Galesloot, Tessel E, Geller, Frank, Goel, Anuj, Gorski, Mathias, Grammer, Tanja B, Gustafsson, Stefan, Haitjema, Saskia, Hottenga, Jouke-Jan, Huffman, Jennifer E, Jackson, Anne U, Jacobs, Kevin B, Johansson, Åsa, Kaakinen, Marika, Kleber, Marcus E, Lahti, Jari, Mateo Leach, Irene, Lehne, Benjamin, Liu, Youfang, Lo, Ken Sin, Lorentzon, Mattias, Luan, Jian'an, Madden, Pamela AF, Mangino, Massimo, McKnight, Barbara, Medina-Gomez, Carolina, Monda, Keri L, Montasser, May E, Müller, Gabriele, Müller-Nurasyid, Martina, Nolte, Ilja M, Panoutsopoulou, Kalliope, Pascoe, Laura, Paternoster, Lavinia, Rayner, Nigel W, Renström, Frida, Rizzi, Federica, Rose, Lynda M, Ryan, Kathy A, Salo, Perttu, Sanna, Serena, Scharnagl, Hubert, Shi, Jianxin, Smith, Albert Vernon, Southam, Lorraine, Stančáková, Alena, Steinthorsdottir, Valgerdur, Strawbridge, Rona J, Sung, Yun Ju, Tachmazidou, Ioanna, Tanaka, Toshiko, Thorleifsson, Gudmar, Trompet, Stella, Pervjakova, Natalia, Tyrer, Jonathan P, Vandenput, Liesbeth, van der Laan, Sander W, van der Velde, Nathalie, van Setten, Jessica, van Vliet-Ostaptchouk, Jana V, Verweij, Niek, Vlachopoulou, Efthymia, Waite, Lindsay L, Wang, Sophie R, Wang, Zhaoming, Wild, Sarah H, Willenborg, Christina, Wilson, James F, Wong, Andrew, Yang, Jian, Yengo, Loïc, Yerges-Armstrong, Laura M, Yu, Lei, Zhang, Weihua, Zhao, Jing Hua, Andersson, Ehm A, Bakker, Stephan JL, Baldassarre, Damiano, Banasik, Karina, Barcella, Matteo, Barlassina, Cristina, Bellis, Claire, Benaglio, Paola, Blangero, John, Blüher, Matthias, Bonnet, Fabrice, Bonnycastle, Lori L, Boyd, Heather A, Bruinenberg, Marcel, Buchman, Aron S, Campbell, Harry, Chen, Yii-Der Ida, Chines, Peter S, Claudi-Boehm, Simone, Cole, John, Collins, Francis S, de Geus, Eco JC, de Groot, Lisette CPGM, Dimitriou, Maria, Duan, Jubao, Enroth, Stefan, Eury, Elodie, Farmaki, Aliki-Eleni, Forouhi, Nita G, Friedrich, Nele, Gejman, Pablo V, Gigante, Bruna, Glorioso, Nicola, Go, Alan S, Gottesman, Omri, Gräßler, Jürgen, Grallert, Harald, Grarup, Niels, Gu, Yu-Mei, Broer, Linda, Ham, Annelies C, Hansen, Torben, Harris, Tamara B, Hartman, Catharina A, Hassinen, Maija, Hastie, Nicholas, Hattersley, Andrew T, Heath, Andrew C, Henders, Anjali K, Hernandez, Dena, Hillege, Hans, Holmen, Oddgeir, Hovingh, Kees G, Hui, Jennie, Husemoen, Lise L, Hutri-Kähönen, Nina, Hysi, Pirro G, Illig, Thomas, De Jager, Philip L, Jalilzadeh, Shapour, Jørgensen, Torben, Jukema, J Wouter, Juonala, Markus, Kanoni, Stavroula, Karaleftheri, Maria, Khaw, Kay Tee, Kinnunen, Leena, Kittner, Steven J, Koenig, Wolfgang, Kolcic, Ivana, Kovacs, Peter, Krarup, Nikolaj T, Kratzer, Wolfgang, Krüger, Janine, Kuh, Diana, Kumari, Meena, Kyriakou, Theodosios, Langenberg, Claudia, Lannfelt, Lars, Lanzani, Chiara, Lotay, Vaneet, Launer, Lenore J, Leander, Karin, Lindström, Jaana, Linneberg, Allan, Liu, Yan-Ping, Lobbens, Stéphane, Luben, Robert, Lyssenko, Valeriya, Männistö, Satu, Magnusson, Patrik K, McArdle, Wendy L, Menni, Cristina, Merger, Sigrun, Milani, Lili, Montgomery, Grant W, Morris, Andrew P, Narisu, Narisu, Nelis, Mari, Ong, Ken K, Palotie, Aarno, Pérusse, Louis, Pichler, Irene, Pilia, Maria G, Pouta, Anneli, Rheinberger, Myriam, Ribel-Madsen, Rasmus, Richards, Marcus, Rice, Kenneth M, Rice, Treva K, Rivolta, Carlo, Salomaa, Veikko, Sanders, Alan R, Sarzynski, Mark A, Scholtens, Salome, Scott, Robert A, Scott, William R, Sebert, Sylvain, Sengupta, Sebanti, Sennblad, Bengt, Seufferlein, Thomas, Silveira, Angela, Slagboom, P Eline, Smit, Jan H, Sparsø, Thomas H, Stirrups, Kathleen, Stolk, Ronald P, Stringham, Heather M, Swertz, Morris A, Swift, Amy J, Syvänen, Ann-Christine, Tan, Sian-Tsung, Thorand, Barbara, Tönjes, Anke, Tremblay, Angelo, Tsafantakis, Emmanouil, van der Most, Peter J, Völker, Uwe, Vohl, Marie-Claude, Vonk, Judith M, Waldenberger, Melanie, Walker, Ryan W, Wennauer, Roman, Widén, Elisabeth, Willemsen, Gonneke, Wilsgaard, Tom, Wright, Alan F, Zillikens, M Carola, van Dijk, Suzanne C, van Schoor, Natasja M, Asselbergs, Folkert W, de Bakker, Paul IW, Beckmann, Jacques S, Beilby, John, Bennett, David A, Bergman, Richard N, Bergmann, Sven, Böger, Carsten A, Boehm, Bernhard O, Boerwinkle, Eric, Boomsma, Dorret I, Bornstein, Stefan R, Bottinger, Erwin P, Bouchard, Claude, Chambers, John C, Chanock, Stephen J, Chasman, Daniel I, Cucca, Francesco, Cusi, Daniele, Dedoussis, George, Erdmann, Jeanette, Eriksson, Johan G, Evans, Denis A, de Faire, Ulf, Farrall, Martin, Ferrucci, Luigi, Ford, Ian, Franke, Lude, Franks, Paul W, Froguel, Philippe, Gansevoort, Ron T, Gieger, Christian, Grönberg, Henrik, Gudnason, Vilmundur, Gyllensten, Ulf, Hall, Per, Hamsten, Anders, van der Harst, Pim, Hayward, Caroline, Heliövaara, Markku, Hengstenberg, Christian, Hicks, Andrew A, Hingorani, Aroon, Hofman, Albert, Hu, Frank, Huikuri, Heikki V, Hveem, Kristian, James, Alan L, Jordan, Joanne M, Jula, Antti, Kähönen, Mika, Kajantie, Eero, Kathiresan, Sekar, Kiemeney, Lambertus ALM, Kivimaki, Mika, Knekt, Paul B, Koistinen, Heikki A, Kooner, Jaspal S, Koskinen, Seppo, Kuusisto, Johanna, Maerz, Winfried, Martin, Nicholas G, Laakso, Markku, Lakka, Timo A, Lehtimäki, Terho, Lettre, Guillaume, Levinson, Douglas F, Lind, Lars, Lokki, Marja-Liisa, Mäntyselkä, Pekka, Melbye, Mads, Metspalu, Andres, Mitchell, Braxton D, Moll, Frans L, Murray, Jeffrey C, Musk, Arthur W, Nieminen, Markku S, Njølstad, Inger, Ohlsson, Claes, Oldehinkel, Albertine J, Oostra, Ben A, Palmer, Lyle J, Pankow, James S, Pasterkamp, Gerard, Pedersen, Nancy L, Pedersen, Oluf, Penninx, Brenda W, Perola, Markus, Peters, Annette, Polašek, Ozren, Pramstaller, Peter P, Psaty, Bruce M, Qi, Lu, Quertermous, Thomas, Raitakari, Olli T, Rankinen, Tuomo, Rauramaa, Rainer, Ridker, Paul M, Rioux, John D, Rivadeneira, Fernando, Rotter, Jerome I, Rudan, Igor, den Ruijter, Hester M, Saltevo, Juha, Sattar, Naveed, Schunkert, Heribert, Schwarz, Peter EH, Shuldiner, Alan R, Sinisalo, Juha, Snieder, Harold, Sørensen, Thorkild IA, Spector, Tim D, Staessen, Jan A, Stefania, Bandinelli, Thorsteinsdottir, Unnur, Stumvoll, Michael, Tardif, Jean-Claude, Tremoli, Elena, Tuomilehto, Jaakko, Uitterlinden, André G, Uusitupa, Matti, Verbeek, André LM, Vermeulen, Sita H, Viikari, Jorma S, Vitart, Veronique, Völzke, Henry, Vollenweider, Peter, Waeber, Gérard, Walker, Mark, Wallaschofski, Henri, Wareham, Nicholas J, Watkins, Hugh, Zeggini, Eleftheria, arcOGEN Consortium, CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, MAGIC Consortium, Chakravarti, Aravinda, Clegg, Deborah J, Cupples, L Adrienne, Gordon-Larsen, Penny, Jaquish, Cashell E, Rao, DC, Abecasis, Goncalo R, Assimes, Themistocles L, Barroso, Inês, Berndt, Sonja I, Boehnke, Michael, Deloukas, Panos, Fox, Caroline S, Groop, Leif C, Hunter, David J, Ingelsson, Erik, Kaplan, Robert C, McCarthy, Mark I, Mohlke, Karen L, O'Connell, Jeffrey R, Schlessinger, David, Strachan, David P, Stefansson, Kari, van Duijn, Cornelia M, Hirschhorn, Joel N, Lindgren, Cecilia M, Heid, Iris M, North, Kari E, Borecki, Ingrid B, Kutalik, Zoltán, Loos, Ruth JF, Division of Statistical Genomics, Washington University School of Medicine, Institut Pasteur du Cambodge, Réseau International des Instituts Pasteur (RIIP), Estonian Genome and Medicine, University of Tartu, Institute of Molecular and Cell Biology, Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], Institute of Metabolic Science, MRC, Brown University, Center for Biological Sequence Analysis [Lyngby], Technical University of Denmark [Lyngby] (DTU), King‘s College London, Groningen Bioinformatics Centre, GBB, University of Groningen [Groningen], University of Queensland [Brisbane], National Institut of Food Science and Technology, University of Agriculture, Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Department of neurology, Leiden University Medical Center (LUMC), University of Washington [Seattle], Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Genetic Epidemiology Unit, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Deptartment of Medical Biochemistry and Microbiology, Uppsala University, Infectious diseases division, Department of internal medicine, Washington University in Saint Louis (WUSTL), Limnology, Ecology, Department of Ecology and Evolutionary Biology, University of California, Core Genotyping Facility, National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH)-National Institutes of Health [Bethesda] (NIH), Division of Cancer Epidemiology and Genetics, Institute of Health Sciences and Biocenter Oulu, University of Oulu, Department of Chemical Engineering Taiwan (DCET - NTHU), National Tsing Hua University [Hsinchu] (NTHU), University of Oxford [Oxford], Department of Epidemiology, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Human Genetics, The Wellcome Trust Sanger Institute [Cambridge], Departments of Epidemiology and Nutrition, Harvard School of Public Health, Department of Clinical Sciences, Lund University [Lund]-Lund University Diabetes Centre, Genetic Epidemiology and Clinical Research Group, Umea University Hospital, Department of Medicine, University of Eastern Finland-Kuopio University Hospital, Department of Medical Sciences, Department of Educational Psychology and Counseling, National Taiwan Normal University (NTNU), Laboratory for Cardiovascular Genomics and Informatics [Yokohama] (RIKEN IMS), RIKEN Center for Integrative Medical Sciences [Yokohama] (RIKEN IMS), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN)-RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), deCODE Genetics, deCODE genetics [Reykjavik], Interuniversity Cardiology Institute Netherlands, Molecular Genetics Section, University of Groningen [Groningen]-University Medical Centre Groningen, Kidney Center, University Medical Center Groningen [Groningen] (UMCG), The University of Texas Health Science Center at Houston (UTHealth), Texas Biomedical Research Institute [San Antonio, TX], Medical Department III, Universität Leipzig [Leipzig], Foie, métabolismes et cancer, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Dept. of Epidemiology Research, Statens Serum Institut [Copenhagen], GNS Science, Blackett Laboratory, Imperial College London, Medstar Research Institute, University of Rochester [USA], MRC Epidemiology Unit, University of Cambridge [UK] (CAM)-Institute of Metabolic Science, Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR), Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Dept Biochem & Mol Biol, Pennsylvania State University (Penn State), Penn State System-Penn State System, Genomic Research Laboratory, Service of Infectious Disease, Hôpitaux Universitaires de Genève (HUG), Epidemiology, University Medical Centre Groningen, Unit for Molecular Epidemiology, German Research Center for Environmental Health-Helmholtz-Zentrum München (HZM), Program in Translational NeuroPsychiatric Genomics, Brigham and Women's Hospital [Boston], Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Harvard Medical School [Boston] (HMS), Research Centre for Prevention and Health (RCPH), Department of Public Health [Copenhagen], University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU)-Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU)-Capital Region of Denmark, University of Copenhagen = Københavns Universitet (KU), Faculty of Medicine, Institute of Public Health, Aalborg University [Denmark] (AAU), Department of Nutrition-Dietetics, Harokopio University of Athens, Department of Medical Statistics, Epidemiology and Medical Informatics, University of Zagreb, MRC National Survey of Health and Development, MRC Unit for Lifelong Health and Ageing, Department of Epidemiology and Public Health, University College of London [London] (UCL), Department of Public health and Caring Sciences, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden, Research Center for Prevention and Health, Glostrup Hospital, Génétique des maladies multifactorielles (GMM), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Cambridge Institute of Public Health, University of Cambridge [UK] (CAM), Chronic Disease Epidemiology and Prevention Unit, National Institute for Health and Welfare [Helsinki], Queensland Institute of Medical Research, Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Head of Medical Sequencing, Department of Biostatistics, University of Washington, Department of Chronic Disease Prevention, Molecular Epidemiology, Department of Genetics, Université Laval [Québec] (ULaval), Interfaculty Institute for Genetics and Functional Genomics, Universität Greifswald - University of Greifswald, Netherlands Genomics Initiative, Netherlands Consortium for Healthy Aging [Leiden, Netherlands] (NCHA), Department of Internal Medicine, Université de Lausanne (UNIL), Carl Gustav Carus University Hospital, Loughborough University, Genomics and Bioinformatics Platform, Fondazione Filarete, Department of Medicine, Surgery, and Dentistry, University of Milano, Medizinische Klinik II, Universität zu Lübeck [Lübeck], Department of Genomic Medicine, University of Manchester [Manchester], The Wellcome Trust Centre for Human Genetics [Oxford], National Institutes of Health [Bethesda] (NIH), Department of Nephrology, University Medical Center, University of Groningen, Helmholtz-Zentrum München (HZM), Icelandic Heart Association, Kopavogur, Iceland., Faculty of Medicine, University of Iceland [Reykjavik], Genetics and Pathology, Department of child and adolescent psychiatry, Universität Duisburg-Essen [Essen], Department of Internal Medicine II, Division of Respirology, University of Regensburg, Regensburg, Germany, Universität Regensburg (UR), Franz-Volhard-Centrum für Klinische Forschung, ECRC, Department of Clinical Physiology, University of Tampere [Finland]-Tampere University Hospital, Finnish Institute of Occupational Health of Helsinki, Department of Clinical Chemistry, Faculty of Medecine [Helsinki], University of Helsinki-University of Helsinki, Department of Oncology, University of Tampere Medical School, University of Tampere, Department of Physiology, University of Eastern Finland-Institute of Biomedicine, Department of Medicine, Montreal, Developmental Brain and Behaviour Unit, University of Southampton, Division of Gastroenterology and Hepatology, Department of Immunology, Mayo Clinic, Centre for Bone and Arthritis Research, Institute of Medicine-University of Gothenburg (GU), Interdisciplinary Center for Psychiatric Epidemiology, Experimental Cardiology Laboratory, University Medical Center [Utrecht], Peter MacCallum Cancer Center, Faculty of Health Sciences, Aarhus University [Aarhus], Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), Department of Health Services, University of Washington, Group Health Research Institute, Group Health Cooperative, Department of Epidemiology, University of Washington, Department of Medicine, University of Washington, Cardiovascular Health Research Unit, University of Washington, The Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku University Hospital (TYKS), Erasmus Medical Centre, Cedars-Sinai Medical Center, Department of Pathological Biochemistry, Royal Infirmary, Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, Department of Pediatrics, Augusta University - Medical College of Georgia, University System of Georgia (USG)-University System of Georgia (USG), Institute of Preventive Medicine, Copenhagen University Hospital-Bispebjerg and Frederiksberg Hospitals, Maastricht University [Maastricht], Department of Public Health, South Ostrobothnia Central Hospital, Department of Clinical and Preventive Medicine, Danube-University Krems, Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Department of Epidemiology & Biostatistics, Radboud University Medical Center [Nijmegen], Institute for Community Medicine, Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), MRC epidemiology Unit, Framingham Heart Study, National Heart, Lung, and Blood Institute [Bethesda] (NHLBI)-Boston University [Boston] (BU), Metabolic Disease Group, University of Cambridge Metabolic Research Laboratories, Department of Genetics and Biotechnology, Wellcome Trust, Divisions of Genetics and Endocrinology and Program in Genomics, Boston Children's Hospital, Metabolism Initiative and Program in Medical and Population Genetics, Endocrinology and Metabolism, The Churchill Hospital-Oxford Centre for Diabetes, Department of Epidemiology and Preventive Medicine, Regensburg University Medical Center, University of North Carolina System (UNC)-University of North Carolina System (UNC)-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Department of Medical Genetics, Epidemiology Unit, Addenbrooke's Hospital-Medical Research Council (MRC), P30 AG010161/AG/NIA NIH HHS/United States, Psychiatry, Epidemiology and Data Science, NCA - Neurobiology of mental health, EMGO - Lifestyle, overweight and diabetes, APH - Amsterdam Public Health, AMS - Amsterdam Movement Sciences, Geriatrics, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Other departments, Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, RS: CARIM - R3 - Vascular biology, MUMC+: DA BV AIOS Radiologie (9), Epidemiologie, Orthopedie, Institute for Molecular Medicine Finland, Helsinki Collegium for Advanced Studies, Behavioural Sciences, University of Helsinki, Transplantation Laboratory, Medicum, Research Programs Unit, Research Programme of Molecular Medicine, Aarno Palotie / Principal Investigator, Elisabeth Ingrid Maria Widen / Principal Investigator, Clinicum, Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, Children's Hospital, Lastentautien yksikkö, Marja-Liisa Lokki / Principal Investigator, Kardiologian yksikkö, Leif Groop Research Group, Quantitative Genetics, Developmental Psychology Research Group, Genomics of Neurological and Neuropsychiatric Disorders, Genomic Discoveries and Clinical Translation, Ehret, Georg Benedikt, Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Universiteit Leiden-Universiteit Leiden, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), University of California (UC), University of Oxford, Lund University [Lund], Universität Leipzig, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Helmholtz Zentrum München = German Research Center for Environmental Health, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH)-Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH)-Capital Region of Denmark, University of Copenhagen = Københavns Universitet (UCPH), Université de Lausanne = University of Lausanne (UNIL), Universität zu Lübeck = University of Lübeck [Lübeck], Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, University of Gothenburg (GU)-Institute of Medicine, Boston University [Boston] (BU)-National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), Luan, Jian'an [0000-0003-3137-6337], Tyrer, Jonathan [0000-0003-3724-4757], Forouhi, Nita [0000-0002-5041-248X], Khaw, Kay-Tee [0000-0002-8802-2903], Langenberg, Claudia [0000-0002-5017-7344], Luben, Robert [0000-0002-5088-6343], Ong, Kenneth [0000-0003-4689-7530], Johnson, Kathleen [0000-0002-6823-3252], Wareham, Nicholas [0000-0003-1422-2993], Barroso, Ines [0000-0001-5800-4520], Apollo - University of Cambridge Repository, CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, MAGIC Consortium, Biochemistry, Surgery, Internal Medicine, Public Health, Medical Oncology, Pathology, Erasmus MC other, Child and Adolescent Psychiatry / Psychology, and Clinical Genetics
Subjects: 0301 basic medicine, Netherlands Twin Register (NTR), Male, Cancer Research, endocrine system diseases, Biological pathways, QH426-470, Genome, Body Mass Index, Body Size, Genetics (clinical), ddc:616, Genetics & Heredity, Sex Characteristics, Loci, MAGIC Consortium, Mass index, Age Factors, Chromosome Mapping, Middle Aged, Genealogy, Self-reported height, Peripheral-blood, Scale (social sciences), ICBP Consortium, Female, Life Sciences & Biomedicine, Medical Genetics, Research Article, arcOGEN Consortium, musculoskeletal diseases, Adult, European Continental Ancestry Group, Natural menopause, Aged, Body Size/genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Waist-Hip Ratio, Biology, Body size, DIAGRAM Consortium, Age and sex, White People, Fat distribution, GLGC Consortium, 03 medical and health sciences, Life-course, Genetics, Weight-gain, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Medicinsk genetik, [SDV.GEN]Life Sciences [q-bio]/Genetics, 0604 Genetics, Science & Technology, nutritional and metabolic diseases, Correction, 030104 developmental biology, GWAS meta-analysis, Global-BPGen Consortium, Common SNPS, CHARGE Consortium, 3111 Biomedicine, Developmental Biology
Abstract: Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR, Author Summary Adult body size and body shape differ substantially between men and women and change over time. More than 100 genetic variants that influence body mass index (measure of body size) or waist-to-hip ratio (measure of body shape) have been identified. While there is evidence that some genetic loci affect body shape differently in men than in women, little is known about whether genetic effects differ in older compared to younger adults, and whether such changes differ between men and women. Therefore, we conducted a systematic genome-wide search, including 114 studies (>320,000 individuals), to specifically identify genetic loci with age- and or sex-dependent effects on body size and shape. We identified 15 loci of which the effect on BMI was different in older compared to younger adults, whereas we found no evidence for loci with different effects in men compared to women. The opposite was seen for body shape as we identified 44 loci of which the effect on waist-to-hip ratio differed between men and women, but no difference between younger and older adults were observed. Our observations may provide new insights into the biology that underlies weight change with age or the sexual dimorphism of body shape.
Published: 2014

38. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study

Author: Circulatory Health, Experimentele Afd. Cardiologie 1, Cardiologie, JC onderzoeksprogramma Methodologie, Cancer, Zorgeenheid Vaatchirurgie Medisch, Onderzoek Vrouw Hart & Vaatziekten, Winkler, Thomas W., Justice, Anne E., Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F., Chu, Su, Czajkowski, Jacek, Esko, Tonu, Fall, Tove, Kilpelainen, Tuomas O., Lu, Yingchang, Magi, Reedik, Mihailov, Evelin, Pers, Tune H., Rueeger, Sina, Teumer, Alexander, Ehret, Georg B., Ferreira, Teresa, Heard-Costa, Nancy L., Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D., Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M., Jansen, Rick, Westra, Harm-Jan, White, Charles C., Absher, Devin, Ahluwalia, Tarunveer S., Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L., de Craen, Anton J. M., Bis, Joshua C., Bonnefond, Amelie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston W. K., Haitjema, Saskia, van der Laan, Sander W., van Setten, Jessica, Asselbergs, Folkert W., de Bakker, Paul I. W., Moll, Frans L., Pasterkamp, Gerard, den Ruijter, Hester M., CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, MAGIC Consortium, Circulatory Health, Experimentele Afd. Cardiologie 1, Cardiologie, JC onderzoeksprogramma Methodologie, Cancer, Zorgeenheid Vaatchirurgie Medisch, Onderzoek Vrouw Hart & Vaatziekten, Winkler, Thomas W., Justice, Anne E., Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F., Chu, Su, Czajkowski, Jacek, Esko, Tonu, Fall, Tove, Kilpelainen, Tuomas O., Lu, Yingchang, Magi, Reedik, Mihailov, Evelin, Pers, Tune H., Rueeger, Sina, Teumer, Alexander, Ehret, Georg B., Ferreira, Teresa, Heard-Costa, Nancy L., Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D., Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M., Jansen, Rick, Westra, Harm-Jan, White, Charles C., Absher, Devin, Ahluwalia, Tarunveer S., Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L., de Craen, Anton J. M., Bis, Joshua C., Bonnefond, Amelie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston W. K., Haitjema, Saskia, van der Laan, Sander W., van Setten, Jessica, Asselbergs, Folkert W., de Bakker, Paul I. W., Moll, Frans L., Pasterkamp, Gerard, den Ruijter, Hester M., CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, and MAGIC Consortium
Published: 2015

39. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape:A Large-Scale Genome-Wide Interaction Study

Author: Winkler, Thomas W, Justice, Anne E, Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F, Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O, Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H, Rüeger, Sina, Teumer, Alexander, Ehret, Georg B, Ferreira, Teresa, Heard-Costa, Nancy L, Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D, Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M, Jansen, Rick, Westra, Harm-Jan, White, Charles C, Absher, Devin, Ahluwalia, Tarun Veer Singh, Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L, de Craen, Anton J M, Bis, Joshua C, Bonnefond, Amélie, Boucher, Gabrielle, Banasik, Karina, Grarup, Niels, Hansen, Torben, Jørgensen, Torben, Krarup, Nikolaj T, Linneberg, Allan, Ribel-Madsen, Rasmus, Sparsø, Thomas H, Melbye, Mads, Pedersen, Oluf, Sørensen, Thorkild I A, Winkler, Thomas W, Justice, Anne E, Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F, Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O, Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H, Rüeger, Sina, Teumer, Alexander, Ehret, Georg B, Ferreira, Teresa, Heard-Costa, Nancy L, Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D, Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M, Jansen, Rick, Westra, Harm-Jan, White, Charles C, Absher, Devin, Ahluwalia, Tarun Veer Singh, Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L, de Craen, Anton J M, Bis, Joshua C, Bonnefond, Amélie, Boucher, Gabrielle, Banasik, Karina, Grarup, Niels, Hansen, Torben, Jørgensen, Torben, Krarup, Nikolaj T, Linneberg, Allan, Ribel-Madsen, Rasmus, Sparsø, Thomas H, Melbye, Mads, Pedersen, Oluf, and Sørensen, Thorkild I A
Abstract: Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR<5%) age-specific effects, of which 11 had larger effects in younger (<50y) than in older adults (≥50y). No sex-dependent effects were identified for BMI. For WHRadjBMI, we identified 44 loci (27 previously established for main effects, 17 novel) with sex-specific effects, of which 28 showed larger effects in women than in men, five showed larger effects in men than in women, and 11 showed opposite effects between sexes. No age-dependent effects were identified for WHRadjBMI. This is the first genome-wide interaction meta-analysis to report convincing evidence of age-dependent genetic effects on BMI. In addition, we confirm the sex-specificity of genetic effects on WHRadjBMI. These results may provide further insights into the biology that underlies weight change with age or the sexually dimorphism of body shape.
Published: 2015

40. Genetic association and gene-smoking interaction study of carotid intima-media thickness at five GWAS-indicated genes: The Bogalusa Heart Study

Author: Li, Changwei, primary, Chen, Wei, additional, Jiang, Fan, additional, Simino, Jeannette, additional, Srinivasan, Sathanur R., additional, Berenson, Gerald S., additional, and Mei, Hao, additional
Published: 2015
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41. Gene–Smoking Interactions Identify Several Novel Blood Pressure Loci in the Framingham Heart Study

Author: Sung, Yun J., primary, de las Fuentes, Lisa, additional, Schwander, Karen L., additional, Simino, Jeannette, additional, and Rao, Dabeeru C., additional
Published: 2014
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42. Linkage analysis incorporating gene–age interactions identifies seven novel lipid loci: The Family Blood Pressure Program

Author: Simino, Jeannette, primary, Kume, Rezart, additional, Kraja, Aldi T., additional, Turner, Stephen T., additional, Hanis, Craig L., additional, Sheu, Wayne H.-H., additional, Chen, Yii-Der Ida, additional, Jaquish, Cashell E., additional, Cooper, Richard S., additional, Chakravarti, Aravinda, additional, Quertermous, Thomas, additional, Boerwinkle, Eric, additional, Hunt, Steven C., additional, and Rao, D.C., additional
Published: 2014
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43. Comparison of two methods for analysis of gene–environment interactions in longitudinal family data: the Framingham heart study

Author: Sung, Yun Ju, primary, Simino, Jeannette, additional, Kume, Rezart, additional, Basson, Jacob, additional, Schwander, Karen, additional, and Rao, D. C., additional
Published: 2014
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44. Body Mass Index Modulates Blood Pressure Heritability: The Family Blood Pressure Program

Author: Simino, Jeannette, primary, Shi, Gang, additional, Weder, Alan, additional, Boerwinkle, Eric, additional, Hunt, Steven C., additional, and Rao, Dabeeru C., additional
Published: 2013
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45. Gene-alcohol interactions identify several novel blood pressure loci including a promising locus near SLC16A9

Author: Simino, Jeannette, primary, Sung, Yun Ju, additional, Kume, Rezart, additional, Schwander, Karen, additional, and Rao, D. C., additional
Published: 2013
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46. Novel findings and future directions on the genetics of hypertension

Author: Simino, Jeannette, primary, Rao, Dabeeru C., additional, and Freedman, Barry I., additional
Published: 2012
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47. Between Candidate Genes and Whole Genomes: Time for Alternative Approaches in Blood Pressure Genetics

Author: Basson, Jacob, primary, Simino, Jeannette, additional, and Rao, D. C., additional
Published: 2011
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48. Enriching rare variants using family-specific linkage information

Author: Shi, Gang, primary, Simino, Jeannette, additional, and Rao, Dabeeru C, additional
Published: 2011
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49. Variants on Chromosome 6p22.3 Associated With Blood Pressure in the HyperGEN Study: Follow-Up of FBPP Quantitative Trait Loci

Author: Simino, Jeannette, primary, Shi, Gang, additional, Arnett, Donna, additional, Broeckel, Ulrich, additional, Hunt, Steven C., additional, and Rao, Dabeeru C., additional
Published: 2011
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50. Five Blood Pressure Loci Identified by an Updated Genome-Wide Linkage Scan: Meta-Analysis of the Family Blood Pressure Program

Author: Simino, Jeannette, primary, Shi, Gang, additional, Kume, Rezart, additional, Schwander, Karen, additional, Province, Michael A., additional, Gu, C. Charles, additional, Kardia, Sharon, additional, Chakravarti, Aravinda, additional, Ehret, Georg, additional, Olshen, Richard A., additional, Turner, Stephen T., additional, Ho, Low-Tone, additional, Zhu, Xiaofeng, additional, Jaquish, Cashell, additional, Paltoo, Dina, additional, Cooper, Richard S., additional, Weder, Alan, additional, Curb, J. David, additional, Boerwinkle, Eric, additional, Hunt, Steven C., additional, and Rao, Dabeeru C., additional
Published: 2011
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