493 results on '"Frazier-Wood A"'
Search Results
2. A clustering analysis of lipoprotein diameters in the metabolic syndrome
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Frazier-Wood Alexis C, Glasser Stephen, Garvey W Timothy, Kabagambe Edmond K, Borecki Ingrid B, Tiwari Hemant K, Tsai Michael Y, Hopkins Paul N, Ordovas Jose M, and Arnett Donna K
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lipoprotein particle diameter ,insulin resistance ,nuclear resonance spectroscopy ,Metabolic Syndrome ,latent class analysis ,GOLDN ,waist circumference ,hypertension ,hypertriglyceridemia ,fasting glucose ,Nutritional diseases. Deficiency diseases ,RC620-627 - Abstract
Abstract Background The presence of smaller low-density lipoproteins (LDL) has been associated with atherosclerosis risk, and the insulin resistance (IR) underlying the metabolic syndrome (MetS). In addition, some research has supported the association of very low-, low- and high-density lipoprotein (VLDL HDL) particle diameters with components of the metabolic syndrome (MetS), although this has been the focus of less research. We aimed to explore the relationship of VLDL, LDL and HDL diameters to MetS and its features, and by clustering individuals by their diameters of VLDL, LDL and HDL particles, to capture information across all three fractions of lipoprotein into a unified phenotype. Methods We used nuclear magnetic resonance spectroscopy measurements on fasting plasma samples from a general population sample of 1,036 adults (mean ± SD, 48.8 ± 16.2 y of age). Using latent class analysis, the sample was grouped by the diameter of their fasting lipoproteins, and mixed effects models tested whether the distribution of MetS components varied across the groups. Results Eight discrete groups were identified. Two groups (N = 251) were enriched with individuals meeting criteria for the MetS, and were characterized by the smallest LDL/HDL diameters. One of those two groups, one was additionally distinguished by large VLDL, and had significantly higher blood pressure, fasting glucose, triglycerides, and waist circumference (WC; P < .001). However, large VLDL, in the absence of small LDL and HDL particles, did not associate with MetS features. These associations held after additionally controlling for VLDL, LDL and HDL particle concentrations. Conclusions While small LDL diameters remain associated with IR and the MetS, the occurrence of these in conjunction with a shift to overall larger VLDL diameter may identify those with the highest fasting glucose, TG and WC within the MetS. If replicated, the association of this phenotype with more severe IR-features indicated that it may contribute to identifying of those most at risk for incident type II diabetes and cardiometabolic disease.
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- 2011
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3. Genome-wide meta-analysis of macronutrient intake of 91,114 European ancestry participants from the cohorts for heart and aging research in genomic epidemiology consortium
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Merino, Jordi, Dashti, Hassan S, Li, Sherly X, Sarnowski, Chloé, Justice, Anne E, Graff, Misa, Papoutsakis, Constantina, Smith, Caren E, Dedoussis, George V, Lemaitre, Rozenn N, Wojczynski, Mary K, Männistö, Satu, Ngwa, Julius S, Kho, Minjung, Ahluwalia, Tarunveer S, Pervjakova, Natalia, Houston, Denise K, Bouchard, Claude, Huang, Tao, Orho-Melander, Marju, Frazier-Wood, Alexis C, Mook-Kanamori, Dennis O, Pérusse, Louis, Pennell, Craig E, de Vries, Paul S, Voortman, Trudy, Li, Olivia, Kanoni, Stavroula, Rose, Lynda M, Lehtimäki, Terho, Zhao, Jing Hua, Feitosa, Mary F, Luan, Jian’an, McKeown, Nicola M, Smith, Jennifer A, Hansen, Torben, Eklund, Niina, Nalls, Mike A, Rankinen, Tuomo, Huang, Jinyan, Hernandez, Dena G, Schulz, Christina-Alexandra, Manichaikul, Ani, Li-Gao, Ruifang, Vohl, Marie-Claude, Wang, Carol A, van Rooij, Frank JA, Shin, Jean, Kalafati, Ioanna P, Day, Felix, Ridker, Paul M, Kähönen, Mika, Siscovick, David S, Langenberg, Claudia, Zhao, Wei, Astrup, Arne, Knekt, Paul, Garcia, Melissa, Rao, DC, Qi, Qibin, Ferrucci, Luigi, Ericson, Ulrika, Blangero, John, Hofman, Albert, Pausova, Zdenka, Mikkilä, Vera, Wareham, Nick J, Kardia, Sharon LR, Pedersen, Oluf, Jula, Antti, Curran, Joanne E, Zillikens, M Carola, Viikari, Jorma S, Forouhi, Nita G, Ordovás, José M, Lieske, John C, Rissanen, Harri, Uitterlinden, André G, Raitakari, Olli T, Kiefte-de Jong, Jessica C, Dupuis, Josée, Rotter, Jerome I, North, Kari E, Scott, Robert A, Province, Michael A, Perola, Markus, Cupples, L Adrienne, Turner, Stephen T, Sørensen, Thorkild IA, Salomaa, Veikko, Liu, Yongmei, Sung, Yun J, Qi, Lu, Bandinelli, Stefania, Rich, Stephen S, de Mutsert, Renée, Tremblay, Angelo, Oddy, Wendy H, Franco, Oscar H, and Paus, Tomas
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Biomedical and Clinical Sciences ,Clinical Sciences ,Obesity ,Human Genome ,Genetics ,Prevention ,Clinical Research ,2.1 Biological and endogenous factors ,Aetiology ,Cardiovascular ,Metabolic and endocrine ,Aged ,Aging ,Alpha-Ketoglutarate-Dependent Dioxygenase FTO ,Cohort Studies ,Energy Intake ,Female ,Fibroblast Growth Factors ,Genetic Loci ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Genomics ,Genotype ,Heart Diseases ,Humans ,Male ,Membrane Proteins ,Middle Aged ,Nutrients ,Polymorphism ,Single Nucleotide ,Receptors ,Retinoic Acid ,White People ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry ,Clinical sciences ,Biological psychology ,Clinical and health psychology - Abstract
Macronutrient intake, the proportion of calories consumed from carbohydrate, fat, and protein, is an important risk factor for metabolic diseases with significant familial aggregation. Previous studies have identified two genetic loci for macronutrient intake, but incomplete coverage of genetic variation and modest sample sizes have hindered the discovery of additional loci. Here, we expanded the genetic landscape of macronutrient intake, identifying 12 suggestively significant loci (P
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- 2019
4. ‘Supporting Mutual Benevolence’
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Frazier Wood, Dustin M., primary
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- 2022
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5. Associations of variants In the hexokinase 1 and interleukin 18 receptor regions with oxyhemoglobin saturation during sleep
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Cade, Brian E, Chen, Han, Stilp, Adrienne M, Louie, Tin, Ancoli-Israel, Sonia, Arens, Raanan, Barfield, Richard, Below, Jennifer E, Cai, Jianwen, Conomos, Matthew P, Evans, Daniel S, Frazier-Wood, Alexis C, Gharib, Sina A, Gleason, Kevin J, Gottlieb, Daniel J, Hillman, David R, Johnson, W Craig, Lederer, David J, Lee, Jiwon, Loredo, Jose S, Mei, Hao, Mukherjee, Sutapa, Patel, Sanjay R, Post, Wendy S, Purcell, Shaun M, Ramos, Alberto R, Reid, Kathryn J, Rice, Ken, Shah, Neomi A, Sofer, Tamar, Taylor, Kent D, Thornton, Timothy A, Wang, Heming, Yaffe, Kristine, Zee, Phyllis C, Hanis, Craig L, Palmer, Lyle J, Rotter, Jerome I, Stone, Katie L, Tranah, Gregory J, Wilson, James G, Sunyaev, Shamil R, Laurie, Cathy C, Zhu, Xiaofeng, Saxena, Richa, Lin, Xihong, and Redline, Susan
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Genetics ,Lung ,Sleep Research ,Clinical Research ,Human Genome ,2.1 Biological and endogenous factors ,Aetiology ,Adolescent ,Adult ,Aged ,Aged ,80 and over ,Cell Adhesion Molecules ,Neuronal ,Computational Biology ,Extracellular Matrix Proteins ,Female ,Gene Regulatory Networks ,Genetic Variation ,Genome-Wide Association Study ,Hexokinase ,Humans ,Hypoxia ,Interleukin-18 Receptor alpha Subunit ,Male ,Middle Aged ,NLR Family ,Pyrin Domain-Containing 3 Protein ,Nerve Tissue Proteins ,Oxygen ,Oxyhemoglobins ,Polymorphism ,Single Nucleotide ,Quantitative Trait Loci ,Reelin Protein ,Serine Endopeptidases ,Sleep ,Sleep Apnea Syndromes ,Young Adult ,Developmental Biology - Abstract
Sleep disordered breathing (SDB)-related overnight hypoxemia is associated with cardiometabolic disease and other comorbidities. Understanding the genetic bases for variations in nocturnal hypoxemia may help understand mechanisms influencing oxygenation and SDB-related mortality. We conducted genome-wide association tests across 10 cohorts and 4 populations to identify genetic variants associated with three correlated measures of overnight oxyhemoglobin saturation: average and minimum oxyhemoglobin saturation during sleep and the percent of sleep with oxyhemoglobin saturation under 90%. The discovery sample consisted of 8,326 individuals. Variants with p < 1 × 10(-6) were analyzed in a replication group of 14,410 individuals. We identified 3 significantly associated regions, including 2 regions in multi-ethnic analyses (2q12, 10q22). SNPs in the 2q12 region associated with minimum SpO2 (rs78136548 p = 2.70 × 10(-10)). SNPs at 10q22 were associated with all three traits including average SpO2 (rs72805692 p = 4.58 × 10(-8)). SNPs in both regions were associated in over 20,000 individuals and are supported by prior associations or functional evidence. Four additional significant regions were detected in secondary sex-stratified and combined discovery and replication analyses, including a region overlapping Reelin, a known marker of respiratory complex neurons.These are the first genome-wide significant findings reported for oxyhemoglobin saturation during sleep, a phenotype of high clinical interest. Our replicated associations with HK1 and IL18R1 suggest that variants in inflammatory pathways, such as the biologically-plausible NLRP3 inflammasome, may contribute to nocturnal hypoxemia.
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- 2019
6. Meta-analysis across Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium provides evidence for an association of serum vitamin D with pulmonary function
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Xu, Jiayi, Bartz, Traci M, Chittoor, Geetha, Eiriksdottir, Gudny, Manichaikul, Ani W, Sun, Fangui, Terzikhan, Natalie, Zhou, Xia, Booth, Sarah L, Brusselle, Guy G, de Boer, Ian H, Fornage, Myriam, Frazier-Wood, Alexis C, Graff, Mariaelisa, Gudnason, Vilmundur, Harris, Tamara B, Hofman, Albert, Hou, Ruixue, Houston, Denise K, Jacobs, David R, Kritchevsky, Stephen B, Latourelle, Jeanne, Lemaitre, Rozenn N, Lutsey, Pamela L, O’Connor, George, Oelsner, Elizabeth C, Pankow, James S, Psaty, Bruce M, Rohde, Rebecca R, Rich, Stephen S, Rotter, Jerome I, Smith, Lewis J, Stricker, Bruno H, Voruganti, V Saroja, Wang, Thomas J, Zillikens, M Carola, Barr, R Graham, Dupuis, Josée, Gharib, Sina A, Lahousse, Lies, London, Stephanie J, North, Kari E, Smith, Albert V, Steffen, Lyn M, Hancock, Dana B, and Cassano, Patricia A
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Biomedical and Clinical Sciences ,Nutrition and Dietetics ,Complementary and Integrative Health ,Aging ,Clinical Research ,Adult ,Aged ,Black People ,Cross-Sectional Studies ,Female ,Forced Expiratory Volume ,Genome ,Human ,Heart ,Heart Diseases ,Humans ,Lung ,Lung Diseases ,Male ,Middle Aged ,Molecular Epidemiology ,Prospective Studies ,Regression Analysis ,Respiratory Function Tests ,Smoking ,Vital Capacity ,Vitamin D ,White People ,1 ,25(OH)D 25-hydroxyvitamin D ,AA African ancestry ,AGES Age ,ARIC Atherosclerosis Risk in Communities Study ,Aging ,CARDIA Coronary Artery Risk Development in Young Adults Study ,CHARGE Cohorts for Heart and Aging Research in Genomic Epidemiology ,CHS Cardiovascular Health Study ,COPD chronic obstructive pulmonary disease ,EA European ancestry ,Environment ,FEV1 forced expiratory volume in the 1st second ,FHS (Gen3) Framingham Heart Study – Generation 3 Cohort ,FHS (Offspring) Framingham Heart Study –Offspring Cohort ,FVC forced vital capacity ,Gene ,HABC Health ,Iceland ,MESA Multi-Ethnic Study of Atherosclerosis ,PFT pulmonary function test ,RIA radioimmunoassay ,Susceptibility Study − Reykjavik ,and Body Composition Study ,25-(OH)2D 1 ,25-dihydroxyvitamin D ,African Americans ,Forced expiratory volume ,Respiratory function tests ,Vital capacity ,Whites ,Animal Production ,Food Sciences ,Nutrition & Dietetics ,Animal production ,Food sciences ,Nutrition and dietetics - Abstract
The role that vitamin D plays in pulmonary function remains uncertain. Epidemiological studies reported mixed findings for serum 25-hydroxyvitamin D (25(OH)D)-pulmonary function association. We conducted the largest cross-sectional meta-analysis of the 25(OH)D-pulmonary function association to date, based on nine European ancestry (EA) cohorts (n 22 838) and five African ancestry (AA) cohorts (n 4290) in the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium. Data were analysed using linear models by cohort and ancestry. Effect modification by smoking status (current/former/never) was tested. Results were combined using fixed-effects meta-analysis. Mean serum 25(OH)D was 68 (sd 29) nmol/l for EA and 49 (sd 21) nmol/l for AA. For each 1 nmol/l higher 25(OH)D, forced expiratory volume in the 1st second (FEV1) was higher by 1·1 ml in EA (95 % CI 0·9, 1·3; P
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- 2018
7. Multiethnic Meta-Analysis Identifies RAI1 as a Possible Obstructive Sleep Apnea–related Quantitative Trait Locus in Men
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Chen, Han, Cade, Brian E, Gleason, Kevin J, Bjonnes, Andrew C, Stilp, Adrienne M, Sofer, Tamar, Conomos, Matthew P, Ancoli-Israel, Sonia, Arens, Raanan, Azarbarzin, Ali, Bell, Graeme I, Below, Jennifer E, Chun, Sung, Evans, Daniel S, Ewert, Ralf, Frazier-Wood, Alexis C, Gharib, Sina A, Haba-Rubio, José, Hagen, Erika W, Heinzer, Raphael, Hillman, David R, Johnson, W Craig, Kutalik, Zoltan, Lane, Jacqueline M, Larkin, Emma K, Lee, Seung Ku, Liang, Jingjing, Loredo, Jose S, Mukherjee, Sutapa, Palmer, Lyle J, Papanicolaou, George J, Penzel, Thomas, Peppard, Paul E, Post, Wendy S, Ramos, Alberto R, Rice, Ken, Rotter, Jerome I, Sands, Scott A, Shah, Neomi A, Shin, Chol, Stone, Katie L, Stubbe, Beate, Sul, Jae Hoon, Tafti, Mehdi, Taylor, Kent D, Teumer, Alexander, Thornton, Timothy A, Tranah, Gregory J, Wang, Chaolong, Wang, Heming, Warby, Simon C, Wellman, D Andrew, Zee, Phyllis C, Hanis, Craig L, Laurie, Cathy C, Gottlieb, Daniel J, Patel, Sanjay R, Zhu, Xiaofeng, Sunyaev, Shamil R, Saxena, Richa, Lin, Xihong, and Redline, Susan
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Biological Sciences ,Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Genetics ,Sleep Research ,Clinical Research ,Human Genome ,Lung ,2.1 Biological and endogenous factors ,Aetiology ,Adult ,Aged ,Female ,Genome-Wide Association Study ,Humans ,Male ,Middle Aged ,Phosphatidylethanolamine N-Methyltransferase ,Quantitative Trait Loci ,Sex Characteristics ,Sleep Apnea ,Obstructive ,Sleep ,REM ,Sterol Regulatory Element Binding Protein 1 ,Trans-Activators ,Transcription Factors ,ras Proteins ,obstructive sleep apnea ,genetics ,genome-wide association studies ,multiethnic ,sexual dimorphism ,Cardiorespiratory Medicine and Haematology ,Respiratory System ,Biochemistry and cell biology ,Cardiovascular medicine and haematology - Abstract
Obstructive sleep apnea (OSA) is a common heritable disorder displaying marked sexual dimorphism in disease prevalence and progression. Previous genetic association studies have identified a few genetic loci associated with OSA and related quantitative traits, but they have only focused on single ethnic groups, and a large proportion of the heritability remains unexplained. The apnea-hypopnea index (AHI) is a commonly used quantitative measure characterizing OSA severity. Because OSA differs by sex, and the pathophysiology of obstructive events differ in rapid eye movement (REM) and non-REM (NREM) sleep, we hypothesized that additional genetic association signals would be identified by analyzing the NREM/REM-specific AHI and by conducting sex-specific analyses in multiethnic samples. We performed genome-wide association tests for up to 19,733 participants of African, Asian, European, and Hispanic/Latino American ancestry in 7 studies. We identified rs12936587 on chromosome 17 as a possible quantitative trait locus for NREM AHI in men (N = 6,737; P = 1.7 × 10-8) but not in women (P = 0.77). The association with NREM AHI was replicated in a physiological research study (N = 67; P = 0.047). This locus overlapping the RAI1 gene and encompassing genes PEMT1, SREBF1, and RASD1 was previously reported to be associated with coronary artery disease, lipid metabolism, and implicated in Potocki-Lupski syndrome and Smith-Magenis syndrome, which are characterized by abnormal sleep phenotypes. We also identified gene-by-sex interactions in suggestive association regions, suggesting that genetic variants for AHI appear to vary by sex, consistent with the clinical observations of strong sexual dimorphism.
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- 2018
8. Genome‐Wide Interactions with Dairy Intake for Body Mass Index in Adults of European Descent
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Smith, Caren E, Follis, Jack L, Dashti, Hassan S, Tanaka, Toshiko, Graff, Mariaelisa, Fretts, Amanda M, Kilpeläinen, Tuomas O, Wojczynski, Mary K, Richardson, Kris, Nalls, Mike A, Schulz, Christina‐Alexandra, Liu, Yongmei, Frazier‐Wood, Alexis C, van Eekelen, Esther, Wang, Carol, de Vries, Paul S, Mikkilä, Vera, Rohde, Rebecca, Psaty, Bruce M, Hansen, Torben, Feitosa, Mary F, Lai, Chao‐Qiang, Houston, Denise K, Ferruci, Luigi, Ericson, Ulrika, Wang, Zhe, de Mutsert, Renée, Oddy, Wendy H, de Jonge, Ester AL, Seppälä, Ilkka, Justice, Anne E, Lemaitre, Rozenn N, Sørensen, Thorkild IA, Province, Michael A, Parnell, Laurence D, Garcia, Melissa E, Bandinelli, Stefania, Orho‐Melander, Marju, Rich, Stephen S, Rosendaal, Frits R, Pennell, Craig E, Jong, Jessica C Kiefte‐de, Kähönen, Mika, Young, Kristin L, Pedersen, Oluf, Aslibekyan, Stella, Rotter, Jerome I, Mook‐Kanamori, Dennis O, Zillikens, M Carola, Raitakari, Olli T, North, Kari E, Overvad, Kim, Arnett, Donna K, Hofman, Albert, Lehtimäki, Terho, Tjønneland, Anne, Uitterlinden, André G, Rivadeneira, Fernando, Franco, Oscar H, German, J Bruce, Siscovick, David S, Cupples, L Adrienne, and Ordovás, José M
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Biomedical and Clinical Sciences ,Nutrition and Dietetics ,Genetics ,Prevention ,Nutrition ,Obesity ,Human Genome ,Aetiology ,2.1 Biological and endogenous factors ,Cancer ,Metabolic and endocrine ,Actins ,Adult ,Aged ,Body Mass Index ,Cohort Studies ,Cross-Sectional Studies ,Dairy Products ,Female ,Gene Frequency ,Genome-Wide Association Study ,Genotype ,Humans ,Male ,Middle Aged ,Myosin-Light-Chain Phosphatase ,Polymorphism ,Single Nucleotide ,White People ,body mass index ,CHARGE consortium ,dairy intake ,genome-wide interaction study ,meta-analysis ,Food Sciences ,Public Health and Health Services ,Food Science ,Nutrition & Dietetics ,Food sciences ,Nutrition and dietetics - Abstract
ScopeBody weight responds variably to the intake of dairy foods. Genetic variation may contribute to inter-individual variability in associations between body weight and dairy consumption.Methods and resultsA genome-wide interaction study to discover genetic variants that account for variation in BMI in the context of low-fat, high-fat and total dairy intake in cross-sectional analysis was conducted. Data from nine discovery studies (up to 25 513 European descent individuals) were meta-analyzed. Twenty-six genetic variants reached the selected significance threshold (p-interaction
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- 2018
9. Dairy Consumption and Body Mass Index Among Adults: Mendelian Randomization Analysis of 184802 Individuals from 25 Studies
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Huang, Tao, Ding, Ming, Bergholdt Helle, KM, Wang, Tiange, Heianza, Yoriko, Sun, Dianjianyi, Frazier-Wood Alexis, C, Aslibekyan, Stella, North Kari, E, Voortman, Trudy, Graff, Mariaelisa, Smith Caren, E, Lai, Chao-Qiang, Varbo, Anette, Lemaitre, Rozenn N, de Jonge, M Ester AL, Fumeron, Frédéric, Corella, Dolores, Wang, Carol A, Tjønneland, Anne, Overvad, Kim, Sørensen, Thorkild IA, Feitosa, Mary F, Wojczynski, Mary K, Kähönen, Mika, Renström, Frida, Psaty, Bruce M, Siscovick, David S, Barroso, Inês, Johansson, Ingegerd, Hernandez, Dena, Ferrucci, Luigi, Bandinelli, Stefania, Linneberg, Allan, Zillikens, M Carola, Sandholt, Camilla Helene, Pedersen, Oluf, Hansen, Torben, Schulz, Christina-Alexandra, Sonestedt, Emily, Orho-Melander, Marju, Chen, Tzu-An, Rotter, Jerome I, Allison, Mathew A, Rich, Stephen S, Sorlí, Jose V, Coltell, Oscar, Pennell, Craig E, Eastwood, Peter, Hofman, Albert, Uitterlinden, Andre G, van Rooij, Frank JA, Chu, Audrey Y, Rose, Lynda M, Ridker, Paul M, Viikari, Jorma, Raitakari, Olli, Lehtimäki, Terho, Mikkilä, Vera, Willett, Walter C, Wang, Yujie, Tucker, Katherine L, Ordovas, Jose M, Kilpeläinen, Tuomas O, Province, Michael A, Franks, Paul W, Arnett, Donna K, Tanaka, Toshiko, Toft, Ulla, Ericson, Ulrika, Franco, Oscar H, Mozaffarian, Dariush, Hu, Frank B, Chasman, Daniel I, Nordestgaard, Børge G, Ellervik, Christina, and Qi, Lu
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Biomedical and Clinical Sciences ,Nutrition and Dietetics ,Prevention ,Genetics ,Adult ,Body Mass Index ,Body Weight ,Cross-Sectional Studies ,Dairy Products ,Genotype ,Humans ,Mendelian Randomization Analysis ,Polymorphism ,Genetic ,Polymorphism ,Single Nucleotide ,Prospective Studies ,Mendelian Randomization of Dairy Consumption Working Group ,Medical Biotechnology ,Medical Biochemistry and Metabolomics ,Clinical Sciences ,General Clinical Medicine ,Clinical sciences ,Medical biochemistry and metabolomics - Abstract
BackgroundAssociations between dairy intake and body mass index (BMI) have been inconsistently observed in epidemiological studies, and the causal relationship remains ill defined.MethodsWe performed Mendelian randomization (MR) analysis using an established dairy intake-associated genetic polymorphism located upstream of the lactase gene (LCT-13910 C/T, rs4988235) as an instrumental variable (IV). Linear regression models were fitted to analyze associations between (a) dairy intake and BMI, (b) rs4988235 and dairy intake, and (c) rs4988235 and BMI in each study. The causal effect of dairy intake on BMI was quantified by IV estimators among 184802 participants from 25 studies.ResultsHigher dairy intake was associated with higher BMI (β = 0.03 kg/m2 per serving/day; 95% CI, 0.00-0.06; P = 0.04), whereas the LCT genotype with 1 or 2 T allele was significantly associated with 0.20 (95% CI, 0.14-0.25) serving/day higher dairy intake (P = 3.15 × 10-12) and 0.12 (95% CI, 0.06-0.17) kg/m2 higher BMI (P = 2.11 × 10-5). MR analysis showed that the genetically determined higher dairy intake was significantly associated with higher BMI (β = 0.60 kg/m2 per serving/day; 95% CI, 0.27-0.92; P = 3.0 × 10-4).ConclusionsThe present study provides strong evidence to support a causal effect of higher dairy intake on increased BMI among adults.
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- 2018
10. Antiquarian Science and Scientific Antiquarianism at the Spalding Gentlemen’s Society
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Frazier Wood, Dustin M., primary
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- 2022
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11. Coffee consumption is not associated with prevalent subclinical cardiovascular disease (CVD) or the risk of CVD events, in nonalcoholic fatty liver disease: results from the multi-ethnic study of atherosclerosis
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Simon, Tracey G, Trejo, Maria Esther Perez, Zeb, Irfan, Frazier-Wood, Alexis C, McClelland, Robyn L, Chung, Raymond T, and Budoff, Matthew J
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Biomedical and Clinical Sciences ,Clinical Sciences ,Nutrition ,Aging ,Digestive Diseases ,Heart Disease - Coronary Heart Disease ,Chronic Liver Disease and Cirrhosis ,Cardiovascular ,Heart Disease ,Clinical Research ,Atherosclerosis ,Prevention ,Liver Disease ,Good Health and Well Being ,Aged ,Cardiovascular Diseases ,Coffee ,Ethnicity ,Follow-Up Studies ,Humans ,Middle Aged ,Non-alcoholic Fatty Liver Disease ,Regression Analysis ,Fatty liver disease ,NAFLD ,Cardiovascular disease ,Coronary atherosclerosis ,Endocrinology & Metabolism ,Clinical sciences - Abstract
BackgroundAtherosclerosis and its clinical sequelae represent the leading cause of mortality among patients with nonalcoholic fatty liver disease (NAFLD). While epidemiologic data support the hepatoprotective benefits of coffee in NAFLD, whether coffee improves NAFLD-associated CVD risk is unknown.MethodsWe examined 3710 ethnically-diverse participants from the Multi-Ethnic Study of Atherosclerosis (MESA) cohort, without history of known liver disease, and with available coffee data from a validated 120-item food frequency questionnaire. All participants underwent baseline non-contrast cardiac CT from which NAFLD was defined by liver:spleen ratio (L:S0. Major CVD events were defined by the first occurrence of myocardial infarction, cardiac arrest, angina, stroke, or CVD death. We used log-binomial regression to calculate the adjusted prevalence ratio (PR) for CAC>0 by coffee intake and NAFLD status, and events were compared between groups using frequency of events within adjusted Cox proportional hazard regression models.ResultsSeventeen percent (N=637) of participants met criteria for NAFLD. NAFLD participants were more likely to have elevated BMI (mean 31.1±5.5kg/m2 vs. 28.0±5.2kg/m2, p0 (PR=1.02 [0.98-1.07]). Over 12.8years of follow-up, 93 NAFLD and 415 non-NAFLD participants experienced a CV event. However, coffee intake was not associated with incident CVD events, in either NAFLD (HR=1.05 [0.91-1.21]) or non-NAFLD participants (HR=1.03 [0.97-1.11]).ConclusionIn a large, population-based cohort, coffee consumption was not associated with the prevalence of subclinical CVD, nor did coffee impact the future risk of major CVD events, regardless of underlying NAFLD status.
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- 2017
12. Genetic associations with lipoprotein subfraction measures differ by ethnicity in the multi-ethnic study of atherosclerosis (MESA)
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Wang, Zhe, Manichukal, Ani, Goff, David C, Mora, Samia, Ordovas, Jose M, Pajewski, Nicholas M, Post, Wendy S, Rotter, Jerome I, Sale, Michele M, Santorico, Stephanie A, Siscovick, David, Tsai, Michael Y, Arnett, Donna K, Rich, Stephen, and Frazier-Wood, Alexis C
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Biological Sciences ,Genetics ,Minority Health ,Prevention ,Health Disparities ,Aging ,Human Genome ,Atherosclerosis ,Cardiovascular ,Aged ,Aged ,80 and over ,Ethnicity ,Female ,Humans ,Lipoproteins ,Male ,Middle Aged ,Polymorphism ,Single Nucleotide ,Complementary and Alternative Medicine ,Paediatrics and Reproductive Medicine ,Genetics & Heredity ,Reproductive medicine - Abstract
A recent genome-wide association study associated 62 single nucleotide polymorphisms (SNPs) from 43 genomic loci, with fasting lipoprotein subfractions in European-Americans (EAs) at genome-wide levels of significance across three independent samples. Whether these associations are consistent across ethnicities with a non-European ancestry is unknown. We analyzed 15 lipoprotein subfraction measures, on 1677 African-Americans (AAs), 1450 Hispanic-Americans (HAs), and 775 Chinese-Americans (CHN) participating in the multi-ethnic study of atherosclerosis (MESA). Genome-wide data were obtained using the Affymetrix 6.0 and Illumina HumanOmni chips. Linear regression models between genetic variables and lipoprotein subfractions were adjusted for age, gender, body mass index, smoking, study center, and genetic ancestry (based on principal components), and additionally adjusted for Mexican/Non-Mexican status in HAs. A false discovery rate correction was applied separately within the results for each ethnicity to correct for multiple testing. Power calculations revealed that we did not have the power for SNP-based measures of association, so we analyzed phenotype-specific genetic risk scores (GRSs), constructed as in the original genome-wide analysis. We successfully replicated all 15 GRS-lipoprotein associations in 2527 EAs. Among the 15 significant GRS-lipoprotein associations in EAs, 11 were significant in AAs, 13 in HAs, and 1 in CHNs. Further analyses revealed that ethnicity differences could not be explained by differences in linkage disequilibrium, lipid lowering drugs, diabetes, or gender. Our study emphasizes the importance of ethnicity (here indexing genetic ancestry) in genetic risk for CVD and highlights the need to identify ethnicity-specific genetic variants associated with CVD risk.
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- 2017
13. Variants in angiopoietin-2 (ANGPT2) contribute to variation in nocturnal oxyhaemoglobin saturation level
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Wang, Heming, Cade, Brian E, Chen, Han, Gleason, Kevin J, Saxena, Richa, Feng, Tao, Larkin, Emma K, Vasan, Ramachandran S, Lin, Honghuang, Patel, Sanjay R, Tracy, Russell P, Liu, Yongmei, Gottlieb, Daniel J, Below, Jennifer E, Hanis, Craig L, Petty, Lauren E, Sunyaev, Shamil R, Frazier-Wood, Alexis C, Rotter, Jerome I, Post, Wendy, Lin, Xihong, Redline, Susan, and Zhu, Xiaofeng
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Genetics ,Lung ,Sleep Research ,2.1 Biological and endogenous factors ,Aetiology ,Adult ,Angiopoietin-2 ,Female ,Genetic Association Studies ,Genetic Linkage ,Genetic Predisposition to Disease ,Haplotypes ,Humans ,Male ,Oxygen ,Oxygen Consumption ,Oxyhemoglobins ,Polymorphism ,Single Nucleotide ,Respiration ,Sleep ,Sleep Apnea Syndromes ,Biological Sciences ,Medical and Health Sciences ,Genetics & Heredity - Abstract
Genetic determinants of sleep-disordered breathing (SDB), a common set of disorders that contribute to significant cardiovascular and neuropsychiatric morbidity, are not clear. Overnight nocturnal oxygen saturation (SaO2) is a clinically relevant and easily measured indicator of SDB severity but its genetic contribution has never been studied. Our recent study suggests nocturnal SaO2 is heritable. We performed linkage analysis, association analysis and haplotype analysis of average nocturnal oxyhaemoglobin saturation in participants in the Cleveland Family Study (CFS), followed by gene-based association and additional tests in four independent samples. Linkage analysis identified a peak (LOD = 4.29) on chromosome 8p23. Follow-up association analysis identified two haplotypes in angiopoietin-2 (ANGPT2) that significantly contributed to the variation of SaO2 (P = 8 × 10-5) and accounted for a portion of the linkage evidence. Gene-based association analysis replicated the association of ANGPT2 and nocturnal SaO2. A rare missense SNP rs200291021 in ANGPT2 was associated with serum angiopoietin-2 level (P = 1.29 × 10-4), which was associated with SaO2 (P = 0.002). Our study provides the first evidence for the association of ANGPT2, a gene previously implicated in acute lung injury syndromes, with nocturnal SaO2, suggesting that this gene has a broad range of effects on gas exchange, including influencing oxygenation during sleep.
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- 2016
14. Genetic Associations with Obstructive Sleep Apnea Traits in Hispanic/Latino Americans
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Cade, Brian E, Chen, Han, Stilp, Adrienne M, Gleason, Kevin J, Sofer, Tamar, Ancoli-Israel, Sonia, Arens, Raanan, Bell, Graeme I, Below, Jennifer E, Bjonnes, Andrew C, Chun, Sung, Conomos, Matthew P, Evans, Daniel S, Johnson, W Craig, Frazier-Wood, Alexis C, Lane, Jacqueline M, Larkin, Emma K, Loredo, Jose S, Post, Wendy S, Ramos, Alberto R, Rice, Ken, Rotter, Jerome I, Shah, Neomi A, Stone, Katie L, Taylor, Kent D, Thornton, Timothy A, Tranah, Gregory J, Wang, Chaolong, Zee, Phyllis C, Hanis, Craig L, Sunyaev, Shamil R, Patel, Sanjay R, Laurie, Cathy C, Zhu, Xiaofeng, Saxena, Richa, Lin, Xihong, and Redline, Susan
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Genetics ,Clinical Research ,Lung ,Aging ,Prevention ,Sleep Research ,Human Genome ,Aetiology ,2.1 Biological and endogenous factors ,Good Health and Well Being ,sleep apnea ,hypoxia ,genetics ,GWAS ,Prader-Willi syndrome ,Prader–Willi syndrome ,Medical and Health Sciences ,Respiratory System - Abstract
RationaleObstructive sleep apnea is a common disorder associated with increased risk for cardiovascular disease, diabetes, and premature mortality. Although there is strong clinical and epidemiologic evidence supporting the importance of genetic factors in influencing obstructive sleep apnea, its genetic basis is still largely unknown. Prior genetic studies focused on traits defined using the apnea-hypopnea index, which contains limited information on potentially important genetically determined physiologic factors, such as propensity for hypoxemia and respiratory arousability.ObjectivesTo define novel obstructive sleep apnea genetic risk loci for obstructive sleep apnea, we conducted genome-wide association studies of quantitative traits in Hispanic/Latino Americans from three cohorts.MethodsGenome-wide data from as many as 12,558 participants in the Hispanic Community Health Study/Study of Latinos, Multi-Ethnic Study of Atherosclerosis, and Starr County Health Studies population-based cohorts were metaanalyzed for association with the apnea-hypopnea index, average oxygen saturation during sleep, and average respiratory event duration.Measurements and main resultsTwo novel loci were identified at genome-level significance (rs11691765, GPR83, P = 1.90 × 10-8 for the apnea-hypopnea index, and rs35424364; C6ORF183/CCDC162P, P = 4.88 × 10-8 for respiratory event duration) and seven additional loci were identified with suggestive significance (P
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- 2016
15. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses
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Okbay, Aysu, Baselmans, Bart ML, De Neve, Jan-Emmanuel, Turley, Patrick, Nivard, Michel G, Fontana, Mark Alan, Meddens, S Fleur W, Linnér, Richard Karlsson, Rietveld, Cornelius A, Derringer, Jaime, Gratten, Jacob, Lee, James J, Liu, Jimmy Z, de Vlaming, Ronald, Ahluwalia, Tarunveer S, Buchwald, Jadwiga, Cavadino, Alana, Frazier-Wood, Alexis C, Furlotte, Nicholas A, Garfield, Victoria, Geisel, Marie Henrike, Gonzalez, Juan R, Haitjema, Saskia, Karlsson, Robert, van der Laan, Sander W, Ladwig, Karl-Heinz, Lahti, Jari, van der Lee, Sven J, Lind, Penelope A, Liu, Tian, Matteson, Lindsay, Mihailov, Evelin, Miller, Michael B, Minica, Camelia C, Nolte, Ilja M, Mook-Kanamori, Dennis, van der Most, Peter J, Oldmeadow, Christopher, Qian, Yong, Raitakari, Olli, Rawal, Rajesh, Realo, Anu, Rueedi, Rico, Schmidt, Börge, Smith, Albert V, Stergiakouli, Evie, Tanaka, Toshiko, Taylor, Kent, Thorleifsson, Gudmar, Wedenoja, Juho, Wellmann, Juergen, Westra, Harm-Jan, Willems, Sara M, Zhao, Wei, Amin, Najaf, Bakshi, Andrew, Bergmann, Sven, Bjornsdottir, Gyda, Boyle, Patricia A, Cherney, Samantha, Cox, Simon R, Davies, Gail, Davis, Oliver SP, Ding, Jun, Direk, Nese, Eibich, Peter, Emeny, Rebecca T, Fatemifar, Ghazaleh, Faul, Jessica D, Ferrucci, Luigi, Forstner, Andreas J, Gieger, Christian, Gupta, Richa, Harris, Tamara B, Harris, Juliette M, Holliday, Elizabeth G, Hottenga, Jouke-Jan, De Jager, Philip L, Kaakinen, Marika A, Kajantie, Eero, Karhunen, Ville, Kolcic, Ivana, Kumari, Meena, Launer, Lenore J, Franke, Lude, Li-Gao, Ruifang, Liewald, David C, Koini, Marisa, Loukola, Anu, Marques-Vidal, Pedro, Montgomery, Grant W, Mosing, Miriam A, Paternoster, Lavinia, Pattie, Alison, Petrovic, Katja E, Pulkki-Råback, Laura, Quaye, Lydia, Räikkönen, Katri, Rudan, Igor, and Scott, Rodney J
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Biological Sciences ,Genetics ,Mental Health ,Human Genome ,Depression ,Anxiety Disorders ,Bayes Theorem ,Genome-Wide Association Study ,Humans ,Neuroticism ,Phenotype ,Polymorphism ,Single Nucleotide ,LifeLines Cohort Study ,Medical and Health Sciences ,Developmental Biology ,Agricultural biotechnology ,Bioinformatics and computational biology - Abstract
Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms (n = 161,460), and neuroticism (n = 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (|ρ^| ≈ 0.8) strengthen the overall credibility of the findings and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal or pancreas tissues are strongly enriched for association.
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- 2016
16. Diet and adipose tissue distributions: The Multi-Ethnic Study of Atherosclerosis
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Shah, RV, Murthy, VL, Allison, MA, Ding, J, Budoff, M, Frazier-Wood, AC, Lima, JAC, Steffen, L, Siscovick, D, Tucker, KL, Ouyang, P, Abbasi, SA, Danielson, K, Jerosch-Herold, M, and Mozaffarian, D
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Biomedical and Clinical Sciences ,Nutrition and Dietetics ,Aging ,Diabetes ,Digestive Diseases ,Cardiovascular ,Atherosclerosis ,Nutrition ,Obesity ,Prevention ,Minority Health ,Oral and gastrointestinal ,Metabolic and endocrine ,Cancer ,Aged ,Biomarkers ,Body Fat Distribution ,Body Mass Index ,Body Weight ,C-Reactive Protein ,Cholesterol ,HDL ,Cholesterol ,LDL ,Cross-Sectional Studies ,Diet ,Healthy ,Diet ,Mediterranean ,Ethnicity ,Female ,Humans ,Insulin Resistance ,Intra-Abdominal Fat ,Male ,Middle Aged ,Nutrition Assessment ,Risk Factors ,Socioeconomic Factors ,Subcutaneous Fat ,Surveys and Questionnaires ,Triglycerides ,Waist Circumference ,Adiposity ,Diet ,Inflammation ,Body mass index ,Medical and Health Sciences ,Cardiovascular System & Hematology ,Cardiovascular medicine and haematology ,Medical biochemistry and metabolomics ,Nutrition and dietetics - Abstract
Background and aimsDietary quality affects cardiometabolic risk, yet its pathways of influence on regional adipose tissue depots involved in metabolic and diabetes risk are not well established. We aimed to investigate the relationship between dietary quality and regional adiposity.Methods and resultsWe investigated 5079 individuals in the Multi-Ethnic Study of Atherosclerosis (MESA) who had food-frequency questionnaires and measurement of pericardial fat and hepatic attenuation at the baseline study visit in MESA, as well as a subgroup with imaging for visceral and subcutaneous fat (N = 1390). A dietary quality score (DietQuality) was constructed to include established food group constituents of a Mediterranean-type diet. Linear models estimated associations of dietary score as well as its constituents with regional adiposity. Baseline mean age was 61 (± 10) years, and approximately half of the participants (47%) were male. Those with a higher DietQuality score were generally older, female, with a lower body mass index, C-reactive protein, and markers of insulin resistance. After adjustment, a higher DietQuality score was associated with lower visceral fat (lowest vs. highest dietary score quartile: 523.6 vs. 460.5 cm(2)/m; P < 0.01 for trend), pericardial fat (47.5 vs. 41.3 cm(3)/m; P < 0.01 for trend), lesser hepatic steatosis (by hepatic attenuation; 58.6 vs. 60.7 Hounsfield units; P < 0.01 for trend), but not subcutaneous fat (P = 0.39). Greater fruits, vegetables, whole grains, seeds/nuts and yogurt intake were associated with decreased adiposity, while red/processed meats were associated with greater regional adiposity.ConclusionA higher quality diet pattern is associated with less regional adiposity, suggesting a potential mechanism of beneficial dietary effects on diabetes, metabolic, and cardiovascular risk.
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- 2016
17. Consumption of meat is associated with higher fasting glucose and insulin concentrations regardless of glucose and insulin genetic risk scores: a meta-analysis of 50,345 Caucasians 1 , 2
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Fretts, Amanda M, Follis, Jack L, Nettleton, Jennifer A, Lemaitre, Rozenn N, Ngwa, Julius S, Wojczynski, Mary K, Kalafati, Ioanna Panagiota, Varga, Tibor V, Frazier-Wood, Alexis C, Houston, Denise K, Lahti, Jari, Ericson, Ulrika, van den Hooven, Edith H, Mikkilä, Vera, Kiefte-de Jong, Jessica C, Mozaffarian, Dariush, Rice, Kenneth, Renström, Frida, North, Kari E, McKeown, Nicola M, Feitosa, Mary F, Kanoni, Stavroula, Smith, Caren E, Garcia, Melissa E, Tiainen, Anna-Maija, Sonestedt, Emily, Manichaikul, Ani, van Rooij, Frank JA, Dimitriou, Maria, Raitakari, Olli, Pankow, James S, Djoussé, Luc, Province, Michael A, Hu, Frank B, Lai, Chao-Qiang, Keller, Margaux F, Perälä, Mia-Maria, Rotter, Jerome I, Hofman, Albert, Graff, Misa, Kähönen, Mika, Mukamal, Kenneth, Johansson, Ingegerd, Ordovas, Jose M, Liu, Yongmei, Männistö, Satu, Uitterlinden, André G, Deloukas, Panos, Seppälä, Ilkka, Psaty, Bruce M, Cupples, L Adrienne, Borecki, Ingrid B, Franks, Paul W, Arnett, Donna K, Nalls, Mike A, Eriksson, Johan G, Orho-Melander, Marju, Franco, Oscar H, Lehtimäki, Terho, Dedoussis, George V, Meigs, James B, and Siscovick, David S
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Biomedical and Clinical Sciences ,Nutrition and Dietetics ,Prevention ,Diabetes ,Genetics ,Aging ,Cardiovascular ,Nutrition ,Metabolic and endocrine ,Blood Glucose ,Cohort Studies ,Genetic Association Studies ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Hyperglycemia ,Hyperinsulinism ,Insulin ,Insulin Resistance ,Insulin Secretion ,Insulin-Secreting Cells ,Meat ,Meat Products ,Middle Aged ,Polymorphism ,Single Nucleotide ,Risk Factors ,diet ,gene–diet interaction ,glucose ,insulin ,meat intake ,meta-analysis ,Engineering ,Medical and Health Sciences ,Nutrition & Dietetics ,Clinical sciences ,Nutrition and dietetics - Abstract
BackgroundRecent studies suggest that meat intake is associated with diabetes-related phenotypes. However, whether the associations of meat intake and glucose and insulin homeostasis are modified by genes related to glucose and insulin is unknown.ObjectiveWe investigated the associations of meat intake and the interaction of meat with genotype on fasting glucose and insulin concentrations in Caucasians free of diabetes mellitus.DesignFourteen studies that are part of the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium participated in the analysis. Data were provided for up to 50,345 participants. Using linear regression within studies and a fixed-effects meta-analysis across studies, we examined 1) the associations of processed meat and unprocessed red meat intake with fasting glucose and insulin concentrations; and 2) the interactions of processed meat and unprocessed red meat with genetic risk score related to fasting glucose or insulin resistance on fasting glucose and insulin concentrations.ResultsProcessed meat was associated with higher fasting glucose, and unprocessed red meat was associated with both higher fasting glucose and fasting insulin concentrations after adjustment for potential confounders [not including body mass index (BMI)]. For every additional 50-g serving of processed meat per day, fasting glucose was 0.021 mmol/L (95% CI: 0.011, 0.030 mmol/L) higher. Every additional 100-g serving of unprocessed red meat per day was associated with a 0.037-mmol/L (95% CI: 0.023, 0.051-mmol/L) higher fasting glucose concentration and a 0.049-ln-pmol/L (95% CI: 0.035, 0.063-ln-pmol/L) higher fasting insulin concentration. After additional adjustment for BMI, observed associations were attenuated and no longer statistically significant. The association of processed meat and fasting insulin did not reach statistical significance after correction for multiple comparisons. Observed associations were not modified by genetic loci known to influence fasting glucose or insulin resistance.ConclusionThe association of higher fasting glucose and insulin concentrations with meat consumption was not modified by an index of glucose- and insulin-related single-nucleotide polymorphisms. Six of the participating studies are registered at clinicaltrials.gov as NCT0000513 (Atherosclerosis Risk in Communities), NCT00149435 (Cardiovascular Health Study), NCT00005136 (Family Heart Study), NCT00005121 (Framingham Heart Study), NCT00083369 (Genetics of Lipid Lowering Drugs and Diet Network), and NCT00005487 (Multi-Ethnic Study of Atherosclerosis).
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- 2015
18. Risk profiles for weight gain among postmenopausal women: a classification and regression tree analysis approach.
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Jung, Su Yon, Vitolins, Mara Z, Fenton, Jenifer, Frazier-Wood, Alexis C, Hursting, Stephen D, and Chang, Shine
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Humans ,Weight Gain ,Risk Assessment ,Risk Factors ,Regression Analysis ,Alcohol Drinking ,Smoking ,Age Factors ,Body Composition ,Postmenopause ,Dietary Fiber ,Aged ,Middle Aged ,Continental Population Groups ,North Carolina ,Texas ,Female ,General Science & Technology - Abstract
PurposeRisk factors for obesity and weight gain are typically evaluated individually while "adjusting for" the influence of other confounding factors, and few studies, if any, have created risk profiles by clustering risk factors. We identified subgroups of postmenopausal women homogeneous in their clustered modifiable and non-modifiable risk factors for gaining ≥ 3% weight.MethodsThis study included 612 postmenopausal women 50-79 years old, enrolled in an ancillary study of the Women's Health Initiative Observational Study between February 1995 and July 1998. Classification and regression tree and stepwise regression models were built and compared.ResultsOf 27 selected variables, the factors significantly related to ≥ 3% weight gain were weight change in the past 2 years, age at menopause, dietary fiber, fat, alcohol intake, and smoking. In women younger than 65 years, less than 4 kg weight change in the past 2 years sufficiently reduced risk of ≥ 3% weight gain. Different combinations of risk factors related to weight gain were reported for subgroups of women: women 65 years or older (essential factor: < 9.8 g/day dietary factor), African Americans (essential factor: currently smoking), and white women (essential factor: ≥ 5 kg weight change for the past 2 years).ConclusionsOur findings suggest specific characteristics for particular subgroups of postmenopausal women that may be useful for identifying those at risk for weight gain. The study results may be useful for targeting efforts to promote strategies to reduce the risk of obesity and weight gain in subgroups of postmenopausal women and maximize the effect of weight control by decreasing obesity-relevant adverse health outcomes.
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- 2015
19. Habitual sleep duration is associated with BMI and macronutrient intake and may be modified by CLOCK genetic variants 2–4
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Dashti, Hassan S, Follis, Jack L, Smith, Caren E, Tanaka, Toshiko, Cade, Brian E, Gottlieb, Daniel J, Hruby, Adela, Jacques, Paul F, Lamon-Fava, Stefania, Richardson, Kris, Saxena, Richa, Scheer, Frank AJL, Kovanen, Leena, Bartz, Traci M, Perälä, Mia-Maria, Jonsson, Anna, Frazier-Wood, Alexis C, Kalafati, Ioanna-Panagiota, Mikkilä, Vera, Partonen, Timo, Lemaitre, Rozenn N, Lahti, Jari, Hernandez, Dena G, Toft, Ulla, Johnson, W Craig, Kanoni, Stavroula, Raitakari, Olli T, Perola, Markus, Psaty, Bruce M, Ferrucci, Luigi, Grarup, Niels, Highland, Heather M, Rallidis, Loukianos, Kähönen, Mika, Havulinna, Aki S, Siscovick, David S, Räikkönen, Katri, Jørgensen, Torben, Rotter, Jerome I, Deloukas, Panos, Viikari, Jorma SA, Mozaffarian, Dariush, Linneberg, Allan, Seppälä, Ilkka, Hansen, Torben, Salomaa, Veikko, Gharib, Sina A, Eriksson, Johan G, Bandinelli, Stefania, Pedersen, Oluf, Rich, Stephen S, Dedoussis, George, Lehtimäki, Terho, and Ordovás, José M
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Aging ,Sleep Research ,Obesity ,Prevention ,Nutrition ,Genetics ,Neurosciences ,Behavioral and Social Science ,Oral and gastrointestinal ,Cardiovascular ,Metabolic and endocrine ,Cancer ,Adult ,Body Mass Index ,CLOCK Proteins ,Cohort Studies ,Cross-Sectional Studies ,Diet ,Dietary Proteins ,Energy Intake ,Fatty Acids ,Unsaturated ,Female ,Gene-Environment Interaction ,Genetic Predisposition to Disease ,Humans ,Male ,Middle Aged ,Polymorphism ,Single Nucleotide ,Sleep ,White People ,Young Adult ,CLOCK ,circadian rhythm ,dietary intake ,gene-environment interaction ,sleep duration ,gene-environment ,interaction ,Engineering ,Medical and Health Sciences ,Nutrition & Dietetics - Abstract
BackgroundShort sleep duration has been associated with greater risks of obesity, hypertension, diabetes, and cardiovascular disease. Also, common genetic variants in the human Circadian Locomotor Output Cycles Kaput (CLOCK) show associations with ghrelin and total energy intake.ObjectivesWe examined associations between habitual sleep duration, body mass index (BMI), and macronutrient intake and assessed whether CLOCK variants modify these associations.DesignWe conducted inverse-variance weighted, fixed-effect meta-analyses of results of adjusted associations of sleep duration and BMI and macronutrient intake as percentages of total energy as well as interactions with CLOCK variants from 9 cohort studies including up to 14,906 participants of European descent from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium.ResultsWe observed a significant association between sleep duration and lower BMI (β ± SE = 0.16 ± 0.04, P < 0.0001) in the overall sample; however, associations between sleep duration and relative macronutrient intake were evident in age- and sex-stratified analyses only. We observed a significant association between sleep duration and lower saturated fatty acid intake in younger (aged 20-64 y) adults (men: 0.11 ± 0.06%, P = 0.03; women: 0.10 ± 0.05%, P = 0.04) and with lower carbohydrate (-0.31 ± 0.12%, P < 0.01), higher total fat (0.18 ± 0.09%, P = 0.05), and higher PUFA (0.05 ± 0.02%, P = 0.02) intakes in older (aged 65-80 y) women. In addition, the following 2 nominally significant interactions were observed: between sleep duration and rs12649507 on PUFA intake and between sleep duration and rs6858749 on protein intake.ConclusionsOur results indicate that longer habitual sleep duration is associated with lower BMI and age- and sex-specific favorable dietary behaviors. Differences in the relative intake of specific macronutrients associated with short sleep duration could, at least in part, explain previously reported associations between short sleep duration and chronic metabolic abnormalities. In addition, the influence of obesity-associated CLOCK variants on the association between sleep duration and macronutrient intake suggests that longer habitual sleep duration could ameliorate the genetic predisposition to obesity via a favorable dietary profile.
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- 2015
20. Saturated Fat Intake Modulates the Association between an Obesity Genetic Risk Score and Body Mass Index in Two US Populations
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Casas-Agustench, Patricia, Arnett, Donna K, Smith, Caren E, Lai, Chao-Qiang, Parnell, Laurence D, Borecki, Ingrid B, Frazier-Wood, Alexis C, Allison, Matthew, Chen, Yii-Der Ida, Taylor, Kent D, Rich, Stephen S, Rotter, Jerome I, Lee, Yu-Chi, and Ordovás, José M
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Biomedical and Clinical Sciences ,Nutrition and Dietetics ,Health Sciences ,Prevention ,Cardiovascular ,Nutrition ,Genetics ,Obesity ,Aetiology ,2.3 Psychological ,social and economic factors ,2.1 Biological and endogenous factors ,Metabolic and endocrine ,Oral and gastrointestinal ,Cancer ,Stroke ,Adult ,Aged ,Body Mass Index ,Cross-Sectional Studies ,Diet ,Dietary Fats ,Energy Intake ,Fatty Acids ,Female ,Gene-Environment Interaction ,Genetic Predisposition to Disease ,Genotype ,Humans ,Life Style ,Linear Models ,Male ,Middle Aged ,Motor Activity ,Nutrition Assessment ,Risk Factors ,United States ,White People ,Body mass index ,Genetic risk score ,Saturated fat ,Saturated fatty acids ,Clinical Sciences ,Anthropology ,Biomedical and clinical sciences ,Health sciences - Abstract
Combining multiple genetic variants related to obesity into a genetic risk score (GRS) might improve identification of individuals at risk of developing obesity. Moreover, characterizing gene-diet interactions is a research challenge to establish dietary recommendations to individuals with higher predisposition to obesity. Our objective was to analyze the association between an obesity GRS and body mass index (BMI) in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) population, focusing on gene-diet interactions with total fat and saturated fatty acid (SFA) intake, and to replicate findings in the Multi-Ethnic Study of Atherosclerosis (MESA) population. Cross-sectional analyses included 783 white US participants from GOLDN and 2,035 from MESA. Dietary intakes were estimated with validated food frequency questionnaires. Height and weight were measured. A weighted GRS was calculated on the basis of 63 obesity-associated variants. Multiple linear regression models adjusted by potential confounders were used to examine gene-diet interactions between dietary intake (total fat and SFA) and the obesity GRS in determining BMI. Significant interactions were found between total fat intake and the obesity GRS using these variables as continuous for BMI (P for interaction=0.010, 0.046, and 0.002 in GOLDN, MESA, and meta-analysis, respectively). These association terms were stronger when assessing interactions between SFA intake and GRS for BMI (P for interaction=0.005, 0.018, and
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- 2014
21. Activity Level in the Lab: Overlap with Shyness Indicates It is More than Pure Motoric Activity
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Frazier-Wood, Alexis C. and Saudino, Kimberly J.
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The observation that children's activity level (AL) differs between novel and familiar situations is well established. What influences individual differences in how AL is different across these situations is less well understood. Drawing on animal literature, which links rats' AL when 1st placed in a novel setting with novelty seeking phenotypes, and child temperament literature, which links AL, novelty response, and shyness, we hypothesized that shyness would be an important component of children's AL in a novel situation. We examined this using mechanically assessed AL from 2 situations (the home and the lab) and 2 measures of shyness (1 parent-rated and 1 observer-rated) on up to 313 twin pairs (145 monozygotic and 168 dizygotic), at 2 and 3 years of age. Biometric genetic models removed from lab AL the variance shared with home AL, representing what was different in AL when the child entered the lab compared to the home. We report that almost half (43%) of the genetic component of AL in the lab was independent of AL in the home, and this unique genetic component shared genetic covariance with shyness. Shyness influences AL in a novel situation such as the lab, indicating that mechanically assessed AL represents more than global motoric activity and provides information on a child's temperamental response to novelty.
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- 2017
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22. Variants Identified in a GWAS Meta-Analysis for Blood Lipids Are Associated with the Lipid Response to Fenofibrate
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Aslibekyan, Stella, Goodarzi, Mark O, Frazier-Wood, Alexis C, Yan, Xiaofei, Irvin, Marguerite R, Kim, Eric, Tiwari, Hemant K, Guo, Xiuqing, Straka, Robert J, Taylor, Kent D, Tsai, Michael Y, Hopkins, Paul N, Korenman, Stanley G, Borecki, Ingrid B, Chen, Yii-Der I, Ordovas, Jose M, Rotter, Jerome I, and Arnett, Donna K
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Genetics ,Cardiovascular ,Clinical Research ,Atherosclerosis ,Human Genome ,Aetiology ,2.1 Biological and endogenous factors ,Adult ,Apolipoprotein A-I ,Apolipoproteins E ,Cholesterol ,Cholesterol ,HDL ,Cholesterol ,LDL ,Epistasis ,Genetic ,Female ,Fenofibrate ,Gene Frequency ,Genome-Wide Association Study ,Humans ,Hypertriglyceridemia ,Hypolipidemic Agents ,Lipids ,Male ,Meta-Analysis as Topic ,Microtubule-Associated Proteins ,Middle Aged ,Outcome Assessment ,Health Care ,Polymorphism ,Single Nucleotide ,Regression Analysis ,Triglycerides ,General Science & Technology - Abstract
A recent large-scale meta-analysis of genome-wide studies has identified 95 loci, 59 of them novel, as statistically significant predictors of blood lipid traits; we tested whether the same loci explain the observed heterogeneity in response to lipid-lowering therapy with fenofibrate. Using data from the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN, n = 861) we fit linear mixed models with the genetic markers as predictors and high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, total cholesterol, and triglyceride concentrations as outcomes. For all four traits, we analyzed both baseline levels and changes in response to treatment with fenofibrate. For the markers that were significantly associated with fenofibrate response, we fit additional models evaluating potential epistatic interactions. All models were adjusted for age, sex, and study center as fixed effects, and pedigree as a random effect. Statistically significant associations were observed between the rs964184 polymorphism near APOA1 (P-value≤0.0001) and fenofibrate response for HDL and triglycerides. The association was replicated in the Pharmacogenetics of Hypertriglyceridemia in Hispanics study (HyperTG, n = 267). Suggestive associations with fenofibrate response were observed for markers in or near PDE3A, MOSC1, FLJ36070, CETP, the APOE-APOC1-APOC4-APOC2, and CILP2. Finally, we present strong evidence for epistasis (P-value for interaction = 0.0006 in GOLDN, 0.05 in HyperTG) between rs10401969 near CILP2 and rs4420638 in the APOE-APOC1-APOC4-APOC2 cluster with total cholesterol response to fenofibrate. In conclusion, we present evidence linking several novel and biologically relevant genetic polymorphisms to lipid lowering drug response, as well as suggesting novel gene-gene interactions in fenofibrate pharmacogenetics.
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- 2012
23. Omega-6 fatty acid biomarkers and incident type 2 diabetes: pooled analysis of individual-level data for 39 740 adults from 20 prospective cohort studies
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Wu, Jason H Y, Marklund, Matti, Imamura, Fumiaki, Tintle, Nathan, Ardisson Korat, Andres V, de Goede, Janette, Zhou, Xia, Yang, Wei-Sin, de Oliveira Otto, Marcia C, Kröger, Janine, Qureshi, Waqas, Virtanen, Jyrki K, Bassett, Julie K, Frazier-Wood, Alexis C, Lankinen, Maria, Murphy, Rachel A, Rajaobelina, Kalina, Del Gobbo, Liana C, Forouhi, Nita G, Luben, Robert, Khaw, Kay-Tee, Wareham, Nick, Kalsbeek, Anya, Veenstra, Jenna, Luo, Juhua, Hu, Frank B, Lin, Hung-Ju, Siscovick, David S, Boeing, Heiner, Chen, Tzu-An, Steffen, Brian, Steffen, Lyn M, Hodge, Allison, Eriksdottir, Gudny, Smith, Albert V, Gudnason, Vilmunder, Harris, Tamara B, Brouwer, Ingeborg A, Berr, Claudine, Helmer, Catherine, Samieri, Cecilia, Laakso, Markku, Tsai, Michael Y, Giles, Graham G, Nurmi, Tarja, Wagenknecht, Lynne, Schulze, Matthias B, Lemaitre, Rozenn N, Chien, Kuo-Liong, Soedamah-Muthu, Sabita S, Geleijnse, Johanna M, Sun, Qi, Harris, William S, Lind, Lars, Ärnlöv, Johan, Riserus, Ulf, Micha, Renata, and Mozaffarian, Dariush
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- 2017
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24. An exome-wide sequencing study of lipid response to high-fat meal and fenofibrate in Caucasians from the GOLDN cohort
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Xin Geng, Marguerite R. Irvin, Bertha Hidalgo, Stella Aslibekyan, Vinodh Srinivasasainagendra, Ping An, Alexis C. Frazier-Wood, Hemant K. Tiwari, Tushar Dave, Kathleen Ryan, Jose M. Ordovas, Robert J. Straka, Mary F. Feitosa, Paul N. Hopkins, Ingrid Borecki, Michael A. Province, Braxton D. Mitchell, Donna K. Arnett, and Degui Zhi
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whole-exome sequencing ,rare variant ,high-density lipoprotein ,low-density lipoprotein ,triglyceride ,cholesterol ,Biochemistry ,QD415-436 - Abstract
Our understanding of genetic influences on the response of lipids to specific interventions is limited. In this study, we sought to elucidate effects of rare genetic variants on lipid response to a high-fat meal challenge and fenofibrate (FFB) therapy in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) cohort using an exome-wide sequencing-based association study. Our results showed that the rare coding variants in ITGA7, SIPA1L2, and CEP72 are significantly associated with fasting LDL cholesterol response to FFB (P = 1.24E-07), triglyceride postprandial area under the increase (AUI) (P = 2.31E-06), and triglyceride postprandial AUI response to FFB (P = 1.88E-06), respectively. We sought to replicate the association for SIPA1L2 in the Heredity and Phenotype Intervention (HAPI) Heart Study, which included a high-fat meal challenge but not FFB treatment. The associated rare variants in GOLDN were not observed in the HAPI Heart study, and thus the gene-based result was not replicated. For functional validation, we found that gene transcript level of SIPA1L2 is associated with triglyceride postprandial AUI (P < 0.05) in GOLDN. Our study suggests unique genetic mechanisms contributing to the lipid response to the high-fat meal challenge and FFB therapy.
- Published
- 2018
- Full Text
- View/download PDF
25. Genetics of Obesity
- Author
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Frazier-Wood, Alexis C., Wang, Zhe, and Ahima, Rexford S., editor
- Published
- 2016
- Full Text
- View/download PDF
26. Associations of Coffee, Tea, and Caffeine Intake with Coronary Artery Calcification and Cardiovascular Events
- Author
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Miller, P. Elliott, Zhao, Di, Frazier-Wood, Alexis C., Michos, Erin D., Averill, Michelle, Sandfort, Veit, Burke, Gregory L., Polak, Joseph F., Lima, Joao A.C., Post, Wendy S., Blumenthal, Roger S., Guallar, Eliseo, and Martin, Seth S.
- Published
- 2017
- Full Text
- View/download PDF
27. Sugar-sweetened beverage intake associations with fasting glucose and insulin concentrations are not modified by selected genetic variants in a ChREBP-FGF21 pathway: a meta-analysis
- Author
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McKeown, Nicola M., Dashti, Hassan S., Ma, Jiantao, Haslam, Danielle E., Kiefte-de Jong, Jessica C., Smith, Caren E., Tanaka, Toshiko, Graff, Mariaelisa, Lemaitre, Rozenn N., Rybin, Denis, Sonestedt, Emily, Frazier-Wood, Alexis C., Mook-Kanamori, Dennis O., Li, Yanping, Wang, Carol A., Leermakers, Elisabeth T. M., Mikkilä, Vera, Young, Kristin L., Mukamal, Kenneth J., Cupples, L. Adrienne, Schulz, Christina-Alexandra, Chen, Tzu-An, Li-Gao, Ruifang, Huang, Tao, Oddy, Wendy H., Raitakari, Olli, Rice, Kenneth, Meigs, James B., Ericson, Ulrika, Steffen, Lyn M., Rosendaal, Frits R., Hofman, Albert, Kähönen, Mika, Psaty, Bruce M., Brunkwall, Louise, Uitterlinden, Andre G., Viikari, Jorma, Siscovick, David S., Seppälä, Ilkka, North, Kari E., Mozaffarian, Dariush, Dupuis, Josée, Orho-Melander, Marju, Rich, Stephen S., de Mutsert, Renée, Qi, Lu, Pennell, Craig E., Franco, Oscar H., Lehtimäki, Terho, and Herman, Mark A.
- Published
- 2018
- Full Text
- View/download PDF
28. Discovery and fine-mapping of loci associated with MUFAs through trans-ethnic meta-analysis in Chinese and European populations[S]
- Author
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Yao Hu, Toshiko Tanaka, Jingwen Zhu, Weihua Guan, Jason H.Y. Wu, Bruce M. Psaty, Barbara McKnight, Irena B. King, Qi Sun, Melissa Richard, Ani Manichaikul, Alexis C. Frazier-Wood, Edmond K. Kabagambe, Paul N. Hopkins, Jose M. Ordovas, Luigi Ferrucci, Stefania Bandinelli, Donna K. Arnett, Yii-Der I. Chen, Shuang Liang, David S. Siscovick, Michael Y. Tsai, Stephen S. Rich, Myriam Fornage, Frank B. Hu, Eric B. Rimm, Majken K. Jensen, Rozenn N. Lemaitre, Dariush Mozaffarian, Lyn M. Steffen, Andrew P. Morris, Huaixing Li, and Xu Lin
- Subjects
genetics ,fatty acid/desaturases ,fatty acid/metabolism ,fatty acid/biosynthesis ,monounsaturated fatty acid ,Biochemistry ,QD415-436 - Abstract
MUFAs are unsaturated FAs with one double bond and are derived from endogenous synthesis and dietary intake. Accumulating evidence has suggested that plasma and erythrocyte MUFA levels are associated with cardiometabolic disorders, including CVD, T2D, and metabolic syndrome (MS). Previous genome-wide association studies (GWASs) have identified seven loci for plasma and erythrocyte palmitoleic and oleic acid levels in populations of European origin. To identify additional MUFA-associated loci and the potential functional variant at each locus, we performed ethnic-specific GWAS meta-analyses and trans-ethnic meta-analyses in more than 15,000 participants of Chinese and European ancestry. We identified novel genome-wide significant associations for vaccenic acid at FADS1/2 and PKD2L1 [log10(Bayes factor) ≥ 8.07] and for gondoic acid at FADS1/2 and GCKR [log10(Bayes factor) ≥ 6.22], and also observed improved fine-mapping resolutions at FADS1/2 and GCKR loci. The greatest improvement was observed at GCKR, where the number of variants in the 99% credible set was reduced from 16 (covering 94.8 kb) to 5 (covering 19.6 kb, including a missense variant rs1260326) after trans-ethnic meta-analysis. We also confirmed the previously reported associations of PKD2L1, FADS1/2, GCKR, and HIF1AN with palmitoleic acid and of FADS1/2 and LPCAT3 with oleic acid in the Chinese-specific GWAS and the trans-ethnic meta-analyses. Pathway-based analyses suggested that the identified loci were in unsaturated FA metabolism and signaling pathways. Our findings provide novel insight into the genetic basis relevant to MUFA metabolism and biology.
- Published
- 2017
- Full Text
- View/download PDF
29. Associations of variants In the hexokinase 1 and interleukin 18 receptor regions with oxyhemoglobin saturation during sleep.
- Author
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Brian E Cade, Han Chen, Adrienne M Stilp, Tin Louie, Sonia Ancoli-Israel, Raanan Arens, Richard Barfield, Jennifer E Below, Jianwen Cai, Matthew P Conomos, Daniel S Evans, Alexis C Frazier-Wood, Sina A Gharib, Kevin J Gleason, Daniel J Gottlieb, David R Hillman, W Craig Johnson, David J Lederer, Jiwon Lee, Jose S Loredo, Hao Mei, Sutapa Mukherjee, Sanjay R Patel, Wendy S Post, Shaun M Purcell, Alberto R Ramos, Kathryn J Reid, Ken Rice, Neomi A Shah, Tamar Sofer, Kent D Taylor, Timothy A Thornton, Heming Wang, Kristine Yaffe, Phyllis C Zee, Craig L Hanis, Lyle J Palmer, Jerome I Rotter, Katie L Stone, Gregory J Tranah, James G Wilson, Shamil R Sunyaev, Cathy C Laurie, Xiaofeng Zhu, Richa Saxena, Xihong Lin, and Susan Redline
- Subjects
Genetics ,QH426-470 - Abstract
Sleep disordered breathing (SDB)-related overnight hypoxemia is associated with cardiometabolic disease and other comorbidities. Understanding the genetic bases for variations in nocturnal hypoxemia may help understand mechanisms influencing oxygenation and SDB-related mortality. We conducted genome-wide association tests across 10 cohorts and 4 populations to identify genetic variants associated with three correlated measures of overnight oxyhemoglobin saturation: average and minimum oxyhemoglobin saturation during sleep and the percent of sleep with oxyhemoglobin saturation under 90%. The discovery sample consisted of 8,326 individuals. Variants with p < 1 × 10(-6) were analyzed in a replication group of 14,410 individuals. We identified 3 significantly associated regions, including 2 regions in multi-ethnic analyses (2q12, 10q22). SNPs in the 2q12 region associated with minimum SpO2 (rs78136548 p = 2.70 × 10(-10)). SNPs at 10q22 were associated with all three traits including average SpO2 (rs72805692 p = 4.58 × 10(-8)). SNPs in both regions were associated in over 20,000 individuals and are supported by prior associations or functional evidence. Four additional significant regions were detected in secondary sex-stratified and combined discovery and replication analyses, including a region overlapping Reelin, a known marker of respiratory complex neurons.These are the first genome-wide significant findings reported for oxyhemoglobin saturation during sleep, a phenotype of high clinical interest. Our replicated associations with HK1 and IL18R1 suggest that variants in inflammatory pathways, such as the biologically-plausible NLRP3 inflammasome, may contribute to nocturnal hypoxemia.
- Published
- 2019
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30. Attention Deficit Hyperactivity Disorder: Insight from Quantitative Genetic Research
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Frazier-Wood, Alexis C., Rommel, Anna S., Kuntsi, Jonna, Kim, Yong-Kyu, Series editor, Rhee, Soo Hyun, editor, and Ronald, Angelica, editor
- Published
- 2014
- Full Text
- View/download PDF
31. Genome-wide association study of triglyceride response to a high-fat meal among participants of the NHLBI Genetics of Lipid Lowering Drugs and Diet Network (GOLDN)
- Author
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Wojczynski, Mary K., Parnell, Laurence D., Pollin, Toni I., Lai, Chao Q., Feitosa, Mary F., O’Connell, Jeff R., Frazier-Wood, Alexis C., Gibson, Quince, Aslibekyan, Stella, Ryan, Kathy A., Province, Michael A., Tiwari, Hemant K., Ordovas, Jose M., Shuldiner, Alan R., Arnett, Donna K., and Borecki, Ingrid B.
- Published
- 2015
- Full Text
- View/download PDF
32. Sociodemographic Correlates of Cognition in the Multi-Ethnic Study of Atherosclerosis (MESA)
- Author
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Fitzpatrick, Annette L., Rapp, Stephen R., Luchsinger, José, Hill-Briggs, Felicia, Alonso, Alvaro, Gottesman, Rebecca, Lee, Hochang, Carnethon, Mercedes, Liu, Kiang, Williams, Kayleen, Sharrett, A. Richey, Frazier-Wood, Alexis, Lyketsos, Constantine, and Seeman, Teresa
- Published
- 2015
- Full Text
- View/download PDF
33. Fatty acid biomarkers of dairy fat consumption and incidence of type 2 diabetes: A pooled analysis of prospective cohort studies.
- Author
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Fumiaki Imamura, Amanda Fretts, Matti Marklund, Andres V Ardisson Korat, Wei-Sin Yang, Maria Lankinen, Waqas Qureshi, Catherine Helmer, Tzu-An Chen, Kerry Wong, Julie K Bassett, Rachel Murphy, Nathan Tintle, Chaoyu Ian Yu, Ingeborg A Brouwer, Kuo-Liong Chien, Alexis C Frazier-Wood, Liana C Del Gobbo, Luc Djoussé, Johanna M Geleijnse, Graham G Giles, Janette de Goede, Vilmundur Gudnason, William S Harris, Allison Hodge, Frank Hu, InterAct Consortium, Albert Koulman, Markku Laakso, Lars Lind, Hung-Ju Lin, Barbara McKnight, Kalina Rajaobelina, Ulf Risérus, Jennifer G Robinson, Cécilia Samieri, David S Siscovick, Sabita S Soedamah-Muthu, Nona Sotoodehnia, Qi Sun, Michael Y Tsai, Matti Uusitupa, Lynne E Wagenknecht, Nick J Wareham, Jason Hy Wu, Renata Micha, Nita G Forouhi, Rozenn N Lemaitre, Dariush Mozaffarian, and Fatty Acids and Outcomes Research Consortium (FORCE)
- Subjects
Medicine - Abstract
BackgroundWe aimed to investigate prospective associations of circulating or adipose tissue odd-chain fatty acids 15:0 and 17:0 and trans-palmitoleic acid, t16:1n-7, as potential biomarkers of dairy fat intake, with incident type 2 diabetes (T2D).Methods and findingsSixteen prospective cohorts from 12 countries (7 from the United States, 7 from Europe, 1 from Australia, 1 from Taiwan) performed new harmonised individual-level analysis for the prospective associations according to a standardised plan. In total, 63,682 participants with a broad range of baseline ages and BMIs and 15,180 incident cases of T2D over the average of 9 years of follow-up were evaluated. Study-specific results were pooled using inverse-variance-weighted meta-analysis. Prespecified interactions by age, sex, BMI, and race/ethnicity were explored in each cohort and were meta-analysed. Potential heterogeneity by cohort-specific characteristics (regions, lipid compartments used for fatty acid assays) was assessed with metaregression. After adjustment for potential confounders, including measures of adiposity (BMI, waist circumference) and lipogenesis (levels of palmitate, triglycerides), higher levels of 15:0, 17:0, and t16:1n-7 were associated with lower incidence of T2D. In the most adjusted model, the hazard ratio (95% CI) for incident T2D per cohort-specific 10th to 90th percentile range of 15:0 was 0.80 (0.73-0.87); of 17:0, 0.65 (0.59-0.72); of t16:1n7, 0.82 (0.70-0.96); and of their sum, 0.71 (0.63-0.79). In exploratory analyses, similar associations for 15:0, 17:0, and the sum of all three fatty acids were present in both genders but stronger in women than in men (pinteraction < 0.001). Whereas studying associations with biomarkers has several advantages, as limitations, the biomarkers do not distinguish between different food sources of dairy fat (e.g., cheese, yogurt, milk), and residual confounding by unmeasured or imprecisely measured confounders may exist.ConclusionsIn a large meta-analysis that pooled the findings from 16 prospective cohort studies, higher levels of 15:0, 17:0, and t16:1n-7 were associated with a lower risk of T2D.
- Published
- 2018
- Full Text
- View/download PDF
34. ‘Supporting Mutual Benevolence’
- Author
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Dustin M. Frazier Wood
- Published
- 2022
35. Abstract 17379: Untargeted Metabolomic Analyses Reveal Mechanistic Links Between a Mediterranean-Style Diet and Incident Cardiovascular Disease in the Multi-Ethnic Study of Atherosclerosis
- Author
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Frazier-Wood, Alexis C, Tzoulaki, Ioanna, Voortman, Trudy, Lindon, John, Ebbels, Timothy, Elliot, Paul, Boulange, Claire L, Kaluarachchi, Manuja, Chekmeneva, Elena, Karaman, Ibrahim, Franco, Oscar H, Greenland, Philip, Tracy, Russel, and Herrington, David
- Published
- 2017
36. Satiety and the Self-Regulation of Food Take in Children: a Potential Role for Gene-Environment Interplay
- Author
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Hughes, Sheryl O. and Frazier-Wood, Alexis C.
- Published
- 2016
- Full Text
- View/download PDF
37. Methylation at CPT1A locus is associated with lipoprotein subfraction profiles[S]
- Author
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Alexis C. Frazier-Wood, Stella Aslibekyan, Devin M. Absher, Paul N. Hopkins, Jin Sha, Michael Y. Tsai, Hemant K. Tiwari, Lindsay L. Waite, Degui Zhi, and Donna K. Arnett
- Subjects
epigenome-wide association study ,low density lipoprotein size ,very low density lipoprotein size ,high density lipoprotein size ,lipoprotein diameter ,lipoprotein particle number ,Biochemistry ,QD415-436 - Abstract
Lipoprotein subfractions help discriminate cardiometabolic disease risk. Genetic loci validated as associating with lipoprotein measures do not account for a large proportion of the individual variation in lipoprotein measures. We hypothesized that DNA methylation levels across the genome contribute to interindividual variation in lipoprotein measures. Using data from participants of the Genetics of Lipid Lowering Drugs and Diet Network (n = 663 for discovery and n = 331 for replication stages, respectively), we conducted the first systematic screen of the genome to determine associations between methylation status at ∼470,000 cytosine-guanine dinucleotide (CpG) sites in CD4+ T cells and 14 lipoprotein subfraction measures. We modeled associations between methylation at each CpG site and each lipoprotein measure separately using linear mixed models, adjusted for age, sex, study site, cell purity, and family structure. We identified two CpGs, both in the carnitine palmitoyltransferase-1A (CPT1A) gene, which reached significant levels of association with VLDL and LDL subfraction parameters in both discovery and replication phases (P < 1.1 × 10−7 in the discovery phase, P < .004 in the replication phase, and P < 1.1 × 10−12 in the full sample). CPT1A is regulated by PPARα, a ligand for drugs used to reduce CVD. Our associations between methylation in CPT1A and lipoprotein measures highlight the epigenetic role of this gene in metabolic dysfunction.
- Published
- 2014
- Full Text
- View/download PDF
38. Genetics of Non-conventional Lipoprotein Fractions
- Author
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Frazier-Wood, Alexis C.
- Published
- 2015
- Full Text
- View/download PDF
39. Genome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake
- Author
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Tanaka, Toshiko, Ngwa, Julius S, van Rooij, Frank JA, Zillikens, M Carola, Wojczynski, Mary K, Frazier-Wood, Alexis C, Houston, Denise K, Kanoni, Stavroula, Lemaitre, Rozenn N, Luan, Jian’an, Mikkilä, Vera, Renstrom, Frida, Sonestedt, Emily, Zhao, Jing Hua, Chu, Audrey Y, Qi, Lu, Chasman, Daniel I, de Oliveira Otto, Marcia C, Dhurandhar, Emily J, Feitosa, Mary F, Johansson, Ingegerd, Khaw, Kay-Tee, Lohman, Kurt K, Manichaikul, Ani, McKeown, Nicola M, Mozaffarian, Dariush, Singleton, Andrew, Stirrups, Kathleen, Viikari, Jorma, Ye, Zheng, Bandinelli, Stefania, Barroso, Inês, Deloukas, Panos, Forouhi, Nita G, Hofman, Albert, Liu, Yongmei, Lyytikäinen, Leo-Pekka, North, Kari E, Dimitriou, Maria, Hallmans, Goran, Kähönen, Mika, Langenberg, Claudia, Ordovas, Jose M, Uitterlinden, André G, Hu, Frank B, Kalafati, Ioanna-Panagiota, Raitakari, Olli, Franco, Oscar H, Johnson, Andrew, Emilsson, Valur, Schrack, Jennifer A, Semba, Richard D, Siscovick, David S, Arnett, Donna K, Borecki, Ingrid B, Franks, Paul W, Kritchevsky, Stephen B, Lehtimäki, Terho, Loos, Ruth JF, Orho-Melander, Marju, Rotter, Jerome I, Wareham, Nicholas J, Witteman, Jacqueline CM, Ferrucci, Luigi, Dedoussis, George, Cupples, L Adrienne, and Nettleton, Jennifer A
- Published
- 2013
- Full Text
- View/download PDF
40. ω-3 Polyunsaturated Fatty Acid Biomarkers and Coronary Heart Disease: Pooling Project of 19 Cohort Studies
- Author
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Del Gobbo, Liana C., Imamura, Fumiaki, Aslibekyan, Stella, Marklund, Matti, Virtanen, Jyrki K., Wennberg, Maria, Yakoob, Mohammad Y., Chiuve, Stephanie E., dela Cruz, Luicito, Frazier-Wood, Alexis C., Fretts, Amanda M., Guallar, Eliseo, Matsumoto, Chisa, Prem, Kiesha, Tanaka, Tosh, Wu, Jason H. Y., Zhou, Xia, Helmer, Catherine, Ingelsson, Erik, Yuan, Jian-Min, Barberger-Gateau, Pascale, Campos, Hannia, Chaves, Paulo H. M., Djoussé, Luc, Giles, Graham G., Gómez-Aracena, Jose, Hodge, Allison M., Hu, Frank B., Jansson, Jan-Håkan, Johansson, Ingegerd, Khaw, Kay-Tee, Koh, Woon-Puay, Lemaitre, Rozenn N., Lind, Lars, Luben, Robert N., Rimm, Eric B., Risérus, Ulf, Samieri, Cecilia, Franks, Paul W., Siscovick, David S., Stampfer, Meir, Steffen, Lyn M., Steffen, Brian T., Tsai, Michael Y., van Dam, Rob M., Voutilainen, Sari, Willett, Walter C., Woodward, Mark, and Mozaffarian, Dariush
- Published
- 2016
- Full Text
- View/download PDF
41. Epigenetics and Obesity : A Relationship Waiting to Be Explained
- Author
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Symonds, Michael E., Budge, Helen, and Frazier-Wood, Alexis C.
- Published
- 2013
42. Drawing conclusions from within‐group comparisons and selected subsets of data leads to unsubstantiated conclusions: Letter regarding Malakellis et al.
- Author
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McComb, Bryan, Frazier‐Wood, Alexis C., Dawson, John, and Allison, David B.
- Published
- 2018
- Full Text
- View/download PDF
43. Dietary Patterns, Genes, and Health: Challenges and Obstacles to be Overcome
- Author
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Frazier-Wood, Alexis C.
- Published
- 2015
- Full Text
- View/download PDF
44. Contributors
- Author
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Alonso, Rodrigo, primary, Al Seesi, Sahar, additional, Alvarez, Veronica, additional, Cheatham, Thomas E., additional, Cuevas, Ada, additional, DeAngelis, Anthony M., additional, Duan, Fei, additional, Farber, Charles R., additional, Farías, Magdalena, additional, Frazier-Wood, Alexis C., additional, Freeman, Lita A., additional, Galindo-Murillo, Rodrigo, additional, Herrington, David, additional, Kueck, Angela, additional, Mandoiu, Ion I., additional, McKay, Gareth J., additional, Mesner, Larry D., additional, Myint, Steven, additional, Naj, Adam, additional, Qureshi, Waqas, additional, Rasmussen, Theodore P., additional, Remaley, Alan T., additional, Rich, Stephen S., additional, Rodriguez-Oquendo, Annabelle, additional, Roy-O'Reilly, Meaghan, additional, Srivastava, Pramod K., additional, and Vickers, Kasey C., additional
- Published
- 2016
- Full Text
- View/download PDF
45. Genomic Medicine and Ethnic Differences in Cardiovascular Disease Risk
- Author
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Frazier-Wood, Alexis C., primary and Rich, Stephen S., additional
- Published
- 2016
- Full Text
- View/download PDF
46. Poetry and British Nationalisms in the Bardic Eighteenth Century: Imagined Antiquities
- Author
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Dustin Frazier Wood
- Subjects
Linguistics and Language ,Literature and Literary Theory ,Language and Linguistics - Published
- 2020
47. Antiquarian Science and Scientific Antiquarianism at the Spalding Gentlemen’s Society
- Author
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Dustin M. Frazier Wood
- Published
- 2022
48. Drawing conclusions from within‐group comparisons and selected subsets of data leads to unsubstantiated conclusions: Letter regarding Malakellis et al.
- Author
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Bryan McComb, Alexis C. Frazier‐Wood, John Dawson, and David B. Allison
- Subjects
Public aspects of medicine ,RA1-1270 - Published
- 2018
- Full Text
- View/download PDF
49. The Separation of ADHD Inattention and Hyperactivity-Impulsivity Symptoms: Pathways from Genetic Effects to Cognitive Impairments and Symptoms
- Author
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Kuntsi, Jonna, Pinto, Rebecca, Price, Thomas S., van der Meere, Jaap J., Frazier-Wood, Alexis C., and Asherson, Philip
- Published
- 2014
- Full Text
- View/download PDF
50. Risk profiles for weight gain among postmenopausal women: a classification and regression tree analysis approach.
- Author
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Su Yon Jung, Mara Z Vitolins, Jenifer Fenton, Alexis C Frazier-Wood, Stephen D Hursting, and Shine Chang
- Subjects
Medicine ,Science - Abstract
Risk factors for obesity and weight gain are typically evaluated individually while "adjusting for" the influence of other confounding factors, and few studies, if any, have created risk profiles by clustering risk factors. We identified subgroups of postmenopausal women homogeneous in their clustered modifiable and non-modifiable risk factors for gaining ≥ 3% weight.This study included 612 postmenopausal women 50-79 years old, enrolled in an ancillary study of the Women's Health Initiative Observational Study between February 1995 and July 1998. Classification and regression tree and stepwise regression models were built and compared.Of 27 selected variables, the factors significantly related to ≥ 3% weight gain were weight change in the past 2 years, age at menopause, dietary fiber, fat, alcohol intake, and smoking. In women younger than 65 years, less than 4 kg weight change in the past 2 years sufficiently reduced risk of ≥ 3% weight gain. Different combinations of risk factors related to weight gain were reported for subgroups of women: women 65 years or older (essential factor: < 9.8 g/day dietary factor), African Americans (essential factor: currently smoking), and white women (essential factor: ≥ 5 kg weight change for the past 2 years).Our findings suggest specific characteristics for particular subgroups of postmenopausal women that may be useful for identifying those at risk for weight gain. The study results may be useful for targeting efforts to promote strategies to reduce the risk of obesity and weight gain in subgroups of postmenopausal women and maximize the effect of weight control by decreasing obesity-relevant adverse health outcomes.
- Published
- 2015
- Full Text
- View/download PDF
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