Person: Mukamal, Kenneth
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Publication Hemoglobin A1c and Arterial and Ventricular Stiffness in Older Adults
(Public Library of Science, 2012) Zieman, Susan J.; Kamineni, Aruna; Ix, Joachim H.; Barzilay, Joshua; Djoussé, Luc; Kizer, Jorge R.; Biggs, Mary L.; de Boer, Ian H.; Chonchol, Michel; Gottdiener, John S.; Selvin, Elizabeth; Newman, Anne B.; Kuller, Lewis H.; Siscovick, David S.; Mukamal, KennethObjective: Arterial and ventricular stiffening are characteristics of diabetes and aging which confer significant morbidity and mortality; advanced glycation endproducts (AGE) are implicated in this stiffening pathophysiology. We examined the association between HbA1c, an AGE, with arterial and ventricular stiffness measures in older individuals without diabetes. Research Design & Methods: Baseline HbA1c was measured in 830 participants free of diabetes defined by fasting glucose or medication use in the Cardiovascular Health Study, a population-based cohort study of adults aged ≥65 years. We performed cross-sectional analyses using baseline exam data including echocardiography, ankle and brachial blood pressure measurement, and carotid ultrasonography. We examined the adjusted associations between HbA1c and multiple arterial and ventricular stiffness measures by linear regression models and compared these results to the association of fasting glucose (FG) with like measures. Results: HbA1c was correlated with fasting and 2-hour postload glucose levels (r = 0.21; p<0.001 for both) and positively associated with greater body-mass index and black race. In adjusted models, HbA1c was not associated with any measure of arterial or ventricular stiffness, including pulse pressure (PP), carotid intima-media thickness, ankle-brachial index, end-arterial elastance, or left ventricular mass (LVM). FG levels were positively associated with systolic, diastolic and PP and LVM. Conclusions: In this sample of older adults without diabetes, HbA1c was not associated with arterial or ventricular stiffness measures, whereas FG levels were. The role of AGE in arterial and ventricular stiffness in older adults may be better assessed using alternate AGE markers.
Publication Total and High-Molecular-Weight Adiponectin and Risk of Incident Diabetes in Older People
(American Diabetes Association, 2012) Kizer, Jorge R.; Arnold, Alice M.; Benkeser, David; Ix, Joachim H.; Djousse, Luc; Zieman, Susan J.; Barzilay, Joshua I.; Tracy, Russell P.; Mantzoros, Christos; Siscovick, David S.; Mukamal, KennethOBJECTIVE To delineate the associations of total adiponectin, high-molecular-weight (HMW) adiponectin, and the HMW-to-total adiponectin ratio with diabetes in older adults. RESEARCH DESIGN AND METHODS Total and HMW adiponectin were measured in a population-based study of older adults. The relations of total adiponectin, HMW adiponectin, and their ratio with incident diabetes (n = 309) were assessed in 3,802 individuals. RESULTS Total and HMW adiponectin were highly correlated (r = 0.94). Analysis using cubic splines revealed that the associations between total and HMW adiponectin and new-onset diabetes were not linear. Specifically, after adjustment for confounders, there were similar inverse relationships for total (hazard ratio per SD 0.49 [95% CI 0.39–0.63]) and HMW adiponectin (0.42 [0.32–0.56]) with diabetes up to values of 20 and 10 mg/L, respectively, above which the associations plateaued. These associations persisted after adjustment for potential mediators (blood pressure, lipids, C-reactive protein, and homeostasis model assessment of insulin resistance [HOMA-IR]). There was, however, evidence of interaction by HOMA-IR in the lower range of adiponectin, with stronger inverse associations among insulin-sensitive than insulin-resistant participants. HMW-to-total adiponectin ratio showed a linear adjusted association with outcome, but this was abolished by inclusion of mediating variables. CONCLUSIONS In this older cohort, increasing concentrations of total and HMW adiponectin were associated with comparably lower risks of diabetes, but these associations leveled off with further increases above concentrations of 20 and 10 mg/L, respectively. The more pronounced risk decreases at the lower range among participants without insulin resistance support a role for adiponectin that is independent of baseline hyperinsulinemia, but this will require further investigation.
Publication New Social Adaptability Index Predicts Overall Mortality
(Termedia Publishing House, 2011) Goldfarb-Rumyantzev, Alexander; Barenbaum, Anna; Rodrigue, James; Rout, Preeti; Isaacs, Ross; Mukamal, KennethIntroduction: Definitions of underprivileged status based on race, gender and geographic location are neither sensitive nor specific; instead we proposed and validated a composite index of social adaptability (SAI). Material and methods: Index of social adaptability was calculated based on employment, education, income, marital status, and substance abuse, each factor contributing from 0 to 3 points. Index of social adaptability was validated in NHANES-3 by association with all-cause and cause-specific mortality. Results: Weighted analysis of 19,593 subjects demonstrated mean SAI of 8.29 (95% CI 8.17-8.40). Index of social adaptability was higher in Whites, followed by Mexican-Americans and then the African-American population (ANOVA, p < 0.001). The SAI was higher in subjects living in metropolitan compared to rural areas (T-test, p < 0.001), and was greater in men than in women (T-test, p < 0.001). In Cox models adjusted for age, comorbidity index, BMI, race, sex, geographic location, hemoglobin, serum creatinine, albumin, cholesterol, and glycated hemoglobin levels, SAI was inversely associated with mortality (HR 0.87 per point, 95% CI 0.84-0.90, p < 0.001). This association was confirmed in subgroups. Conclusions: We proposed and validated an indicator of social adaptability with a strong association with mortality, which can be used to identify underprivileged populations at risk of death.
Publication Changes in Alcohol Consumption and Subsequent Risk of Type 2 Diabetes in Men
(American Diabetes Association, 2011) Joosten, Michel M.; Chiuve, Stephanie; Mukamal, Kenneth; Hu, Frank; Hendriks, Henk F. J.; Rimm, EricOBJECTIVE: The objective of this study was to investigate the association of 4-year changes in alcohol consumption with a subsequent risk of type 2 diabetes. RESEARCH DESIGN AND METHODS: We prospectively examined 38,031 men from the Health Professionals Follow-Up Study who were free of diagnosed diabetes or cancer in 1990. Alcohol consumption was reported on food frequency questionnaires and updated every 4 years. RESULTS: A total of 1,905 cases of type 2 diabetes occurred during 428,497 person-years of follow-up. A 7.5 g/day (approximately half a glass) increase in alcohol consumption over 4 years was associated with lower diabetes risk among initial nondrinkers (multivariable hazard ratio [HR] 0.78; 95% CI: 0.60–1.00) and drinkers initially consuming <15 g/day (HR 0.89; 95% CI: 0.83–0.96), but not among men initially drinking ≥15 g/day (HR 0.99; 95% CI: 0.95–1.02; Pinteraction < 0.01). A similar pattern was observed for levels of total adiponectin and hemoglobin A1c, with a better metabolic profile among abstainers and light drinkers who modestly increased their alcohol intake, compared with men who either drank less or among men who were already moderate drinkers and increased their intake. Likewise, compared with stable light drinkers (0–4.9 g/day), light drinkers who increased their intake to moderate levels (5.0–29.9 g/day) had a significantly lower risk of type 2 diabetes (HR 0.75; 95% CI: 0.62–0.90). CONCLUSIONS: Increases in alcohol consumption over time were associated with lower risk of type 2 diabetes among initially rare and light drinkers. This lower risk was evident within a 4-year period following increased alcohol intake.
Publication Gene × dietary pattern interactions in obesity: analysis of up to 68 317 adults of European ancestry
(Oxford University Press, 2015) Nettleton, Jennifer A.; Follis, Jack L.; Ngwa, Julius S.; Smith, Caren E.; Ahmad, Shafqat; Tanaka, Toshiko; Wojczynski, Mary K.; Voortman, Trudy; Lemaitre, Rozenn N.; Kristiansson, Kati; Nuotio, Marja-Liisa; Houston, Denise K.; Perälä, Mia-Maria; Qi, Qibin; Sonestedt, Emily; Manichaikul, Ani; Kanoni, Stavroula; Ganna, Andrea; Mikkilä, Vera; North, Kari E.; Siscovick, David S.; Harald, Kennet; Mckeown, Nicola M.; Johansson, Ingegerd; Rissanen, Harri; Liu, Yongmei; Lahti, Jari; Hu, Frank; Bandinelli, Stefania; Rukh, Gull; Rich, Stephen; Booij, Lisanne; Dmitriou, Maria; Ax, Erika; Raitakari, Olli; Mukamal, Kenneth; Männistö, Satu; Hallmans, Göran; Jula, Antti; Ericson, Ulrika; Jacobs,, David R.; Van Rooij, Frank J. A.; Deloukas, Panos; Sjögren, Per; Kähönen, Mika; Djousse, Luc; Perola, Markus; Barroso, Inês; Hofman, Albert; Stirrups, Kathleen; Viikari, Jorma; Uitterlinden, André G.; Kalafati, Ioanna P.; Franco, Oscar H.; Mozaffarian, Dariush; Salomaa, Veikko; Borecki, Ingrid B.; Knekt, Paul; Kritchevsky, Stephen B.; Eriksson, Johan G.; Dedoussis, George V.; Qi, Lu; Ferrucci, Luigi; Orho-Melander, Marju; Zillikens, M. Carola; Ingelsson, Erik; Lehtimäki, Terho; Renström, Frida; Cupples, L. Adrienne; Loos, Ruth J. F.; Franks, PaulObesity is highly heritable. Genetic variants showing robust associations with obesity traits have been identified through genome-wide association studies. We investigated whether a composite score representing healthy diet modifies associations of these variants with obesity traits. Totally, 32 body mass index (BMI)- and 14 waist–hip ratio (WHR)-associated single nucleotide polymorphisms were genotyped, and genetic risk scores (GRS) were calculated in 18 cohorts of European ancestry (n = 68 317). Diet score was calculated based on self-reported intakes of whole grains, fish, fruits, vegetables, nuts/seeds (favorable) and red/processed meats, sweets, sugar-sweetened beverages and fried potatoes (unfavorable). Multivariable adjusted, linear regression within each cohort followed by inverse variance-weighted, fixed-effects meta-analysis was used to characterize: (a) associations of each GRS with BMI and BMI-adjusted WHR and (b) diet score modification of genetic associations with BMI and BMI-adjusted WHR. Nominally significant interactions (P = 0.006–0.04) were observed between the diet score and WHR-GRS (but not BMI-GRS), two WHR loci (GRB14 rs10195252; LYPLAL1 rs4846567) and two BMI loci (LRRN6C rs10968576; MTIF3 rs4771122), for the respective BMI-adjusted WHR or BMI outcomes. Although the magnitudes of these select interactions were small, our data indicated that associations between genetic predisposition and obesity traits were stronger with a healthier diet. Our findings generate interesting hypotheses; however, experimental and functional studies are needed to determine their clinical relevance.
Publication Genetically Elevated Fetuin-A Levels, Fasting Glucose Levels, and Risk of Type 2 Diabetes: The Cardiovascular Health Study*
(American Diabetes Association, 2013) Jensen, Majken; Bartz, Traci M.; Djousse, Luc; Kizer, Jorge R.; Zieman, Susan J.; Rimm, Eric; Siscovick, David S.; Psaty, Bruce M.; Ix, Joachim H.; Mukamal, KennethOBJECTIVE Fetuin-A levels are associated with higher risk of type 2 diabetes, but it is unknown if the association is causal. We investigated common (>5%) genetic variants in the fetuin-A gene (AHSG) fetuin-A levels, fasting glucose, and risk of type 2 diabetes. RESEARCH DESIGN AND METHODS Genetic variation, fetuin-A levels, and fasting glucose were assessed in 2,893 Caucasian and 542 African American community-living individuals 65 years of age or older in 1992–1993. RESULTS Common AHSG variants (rs4917 and rs2248690) were strongly associated with fetuin-A concentrations (P < 0.0001). In analyses of 259 incident cases of type 2 diabetes, the single nucleotide polymorphisms (SNPs) were not associated with diabetes risk during follow-up and similar null associations were observed when 579 prevalent cases were included. As expected, higher fetuin-A levels were associated with higher fasting glucose concentrations (1.9 mg/dL [95% CI, 1.2–2.7] higher per SD in Caucasians), but Mendelian randomization analyses using both SNPs as unbiased proxies for measured fetuin-A did not support an association between genetically predicted fetuin-A levels and fasting glucose (−0.3 mg/dL [95% CI, −1.9 to 1.3] lower per SD in Caucasians). The difference between the associations of fasting glucose with actual and genetically predicted fetuin-A level was statistically significant (P = 0.001). Results among the smaller sample of African Americans trended in similar directions but were statistically insignificant. CONCLUSIONS Common variants in the AHSG gene are strongly associated with plasma fetuin-A concentrations, but not with risk of type 2 diabetes or glucose concentrations, raising the possibility that the association between fetuin-A and type 2 diabetes may not be causal.
Publication No Evidence for Genome-Wide Interactions on Plasma Fibrinogen by Smoking, Alcohol Consumption and Body Mass Index: Results from Meta-Analyses of 80,607 Subjects
(Public Library of Science, 2014) Baumert, Jens; Huang, Jie; McKnight, Barbara; Sabater-Lleal, Maria; Steri, Maristella; Chu, Audrey Y.; Trompet, Stella; Lopez, Lorna M.; Fornage, Myriam; Teumer, Alexander; Tang, Weihong; Rudnicka, Alicja R.; Mälarstig, Anders; Hottenga, Jouke-Jan; Kavousi, Maryam; Lahti, Jari; Tanaka, Toshiko; Hayward, Caroline; Huffman, Jennifer E.; Morange, Pierre-Emmanuel; Rose, Lynda M.; Basu, Saonli; Rumley, Ann; Stott, David J.; Buckley, Brendan M.; de Craen, Anton J. M.; Sanna, Serena; Masala, Marco; Biffar, Reiner; Homuth, Georg; Silveira, Angela; Sennblad, Bengt; Goel, Anuj; Watkins, Hugh; Müller-Nurasyid, Martina; Rückerl, Regina; Taylor, Kent; Chen, Ming-Huei; de Geus, Eco J. C.; Hofman, Albert; Witteman, Jacqueline C. M.; de Maat, Moniek P. M.; Palotie, Aarno; Davies, Gail; Siscovick, David S.; Kolcic, Ivana; Wild, Sarah H.; Song, Jaejoon; McArdle, Wendy L.; Ford, Ian; Sattar, Naveed; Schlessinger, David; Grotevendt, Anne; Franzosi, Maria Grazia; Illig, Thomas; Waldenberger, Melanie; Lumley, Thomas; Tofler, Geoffrey H.; Willemsen, Gonneke; Uitterlinden, André G.; Rivadeneira, Fernando; Räikkönen, Katri; Chasman, Daniel; Folsom, Aaron R.; Lowe, Gordon D.; Westendorp, Rudi G. J.; Slagboom, P. Eline; Cucca, Francesco; Wallaschofski, Henri; Strawbridge, Rona J.; Seedorf, Udo; Koenig, Wolfgang; Bis, Joshua C.; Mukamal, Kenneth; van Dongen, Jenny; Widen, Elisabeth; Franco, Oscar H.; Starr, John M.; Liu, Kiang; Ferrucci, Luigi; Polasek, Ozren; Wilson, James F.; Oudot-Mellakh, Tiphaine; Campbell, Harry; Navarro, Pau; Bandinelli, Stefania; Eriksson, Johan; Boomsma, Dorret I.; Dehghan, Abbas; Clarke, Robert; Hamsten, Anders; Boerwinkle, Eric; Jukema, J. Wouter; Naitza, Silvia; Ridker, Paul; Völzke, Henry; Deary, Ian J.; Reiner, Alexander P.; Trégouët, David-Alexandre; O'Donnell, Christopher J.; Strachan, David P.; Peters, Annette; Smith, Nicholas L.Plasma fibrinogen is an acute phase protein playing an important role in the blood coagulation cascade having strong associations with smoking, alcohol consumption and body mass index (BMI). Genome-wide association studies (GWAS) have identified a variety of gene regions associated with elevated plasma fibrinogen concentrations. However, little is yet known about how associations between environmental factors and fibrinogen might be modified by genetic variation. Therefore, we conducted large-scale meta-analyses of genome-wide interaction studies to identify possible interactions of genetic variants and smoking status, alcohol consumption or BMI on fibrinogen concentration. The present study included 80,607 subjects of European ancestry from 22 studies. Genome-wide interaction analyses were performed separately in each study for about 2.6 million single nucleotide polymorphisms (SNPs) across the 22 autosomal chromosomes. For each SNP and risk factor, we performed a linear regression under an additive genetic model including an interaction term between SNP and risk factor. Interaction estimates were meta-analysed using a fixed-effects model. No genome-wide significant interaction with smoking status, alcohol consumption or BMI was observed in the meta-analyses. The most suggestive interaction was found for smoking and rs10519203, located in the LOC123688 region on chromosome 15, with a p value of 6.2×10−8. This large genome-wide interaction study including 80,607 participants found no strong evidence of interaction between genetic variants and smoking status, alcohol consumption or BMI on fibrinogen concentrations. Further studies are needed to yield deeper insight in the interplay between environmental factors and gene variants on the regulation of fibrinogen concentrations.
Publication Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) study
(BioMed Central, 2013) Fesinmeyer, Megan D; Meigs, James; North, Kari E; Schumacher, Fredrick R; Bůžková, Petra; Franceschini, Nora; Haessler, Jeffrey; Goodloe, Robert; Spencer, Kylee L; Voruganti, Venkata Saroja; Howard, Barbara V; Jackson, Rebecca; Kolonel, Laurence N; Liu, Simin; Manson, JoAnn; Monroe, Kristine R; Mukamal, Kenneth; Dilks, Holli H; Pendergrass, Sarah A; Nato, Andrew; Wan, Peggy; Wilkens, Lynne R; Marchand, Loic Le; Ambite, José Luis; Buyske, Steven; Florez, Jose; Crawford, Dana C; Hindorff, Lucia A; Haiman, Christopher A; Peters, Ulrike; Pankow, James SBackground: Multiple genome-wide association studies (GWAS) within European populations have implicated common genetic variants associated with insulin and glucose concentrations. In contrast, few studies have been conducted within minority groups, which carry the highest burden of impaired glucose homeostasis and type 2 diabetes in the U.S. Methods: As part of the 'Population Architecture using Genomics and Epidemiology (PAGE) Consortium, we investigated the association of up to 10 GWAS-identified single nucleotide polymorphisms (SNPs) in 8 genetic regions with glucose or insulin concentrations in up to 36,579 non-diabetic subjects including 23,323 European Americans (EA) and 7,526 African Americans (AA), 3,140 Hispanics, 1,779 American Indians (AI), and 811 Asians. We estimated the association between each SNP and fasting glucose or log-transformed fasting insulin, followed by meta-analysis to combine results across PAGE sites. Results: Overall, our results show that 9/9 GWAS SNPs are associated with glucose in EA (p = 0.04 to 9 × 10-15), versus 3/9 in AA (p= 0.03 to 6 × 10-5), 3/4 SNPs in Hispanics, 2/4 SNPs in AI, and 1/2 SNPs in Asians. For insulin we observed a significant association with rs780094/GCKR in EA, Hispanics and AI only. Conclusions: Generalization of results across multiple racial/ethnic groups helps confirm the relevance of some of these loci for glucose and insulin metabolism. Lack of association in non-EA groups may be due to insufficient power, or to unique patterns of linkage disequilibrium.
Publication Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data
(BMJ Publishing Group Ltd., 2014) Holmes, Michael V; Dale, Caroline E; Zuccolo, Luisa; Silverwood, Richard J; Guo, Yiran; Ye, Zheng; Prieto-Merino, David; Dehghan, Abbas; Trompet, Stella; Wong, Andrew; Cavadino, Alana; Drogan, Dagmar; Padmanabhan, Sandosh; Li, Shanshan; Yesupriya, Ajay; Leusink, Maarten; Sundstrom, Johan; Hubacek, Jaroslav A; Pikhart, Hynek; Swerdlow, Daniel I; Panayiotou, Andrie G; Borinskaya, Svetlana A; Finan, Chris; Shah, Sonia; Kuchenbaecker, Karoline B; Shah, Tina; Engmann, Jorgen; Folkersen, Lasse; Eriksson, Per; Ricceri, Fulvio; Melander, Olle; Sacerdote, Carlotta; Gamble, Dale M; Rayaprolu, Sruti; Ross, Owen A; McLachlan, Stela; Vikhireva, Olga; Sluijs, Ivonne; Scott, Robert A; Adamkova, Vera; Flicker, Leon; van Bockxmeer, Frank M; Power, Christine; Marques-Vidal, Pedro; Meade, Tom; Marmot, Michael G; Ferro, Jose M; Paulos-Pinheiro, Sofia; Humphries, Steve E; Talmud, Philippa J; Leach, Irene Mateo; Verweij, Niek; Linneberg, Allan; Skaaby, Tea; Doevendans, Pieter A; Cramer, Maarten J; van der Harst, Pim; Klungel, Olaf H; Dowling, Nicole F; Dominiczak, Anna F; Kumari, Meena; Nicolaides, Andrew N; Weikert, Cornelia; Boeing, Heiner; Ebrahim, Shah; Gaunt, Tom R; Price, Jackie F; Lannfelt, Lars; Peasey, Anne; Kubinova, Ruzena; Pajak, Andrzej; Malyutina, Sofia; Voevoda, Mikhail I; Tamosiunas, Abdonas; Maitland-van der Zee, Anke H; Norman, Paul E; Hankey, Graeme J; Bergmann, Manuela M; Hofman, Albert; Franco, Oscar H; Cooper, Jackie; Palmen, Jutta; Spiering, Wilko; de Jong, Pim A; Kuh, Diana; Hardy, Rebecca; Uitterlinden, Andre G; Ikram, M Arfan; Ford, Ian; Hyppönen, Elina; Almeida, Osvaldo P; Wareham, Nicholas J; Khaw, Kay-Tee; Hamsten, Anders; Husemoen, Lise Lotte N; Tjønneland, Anne; Tolstrup, Janne S; Rimm, Eric; Beulens, Joline W J; Verschuren, W M Monique; Onland-Moret, N Charlotte; Hofker, Marten H; Wannamethee, S Goya; Whincup, Peter H; Morris, Richard; Vicente, Astrid M; Watkins, Hugh; Farrall, Martin; Jukema, J Wouter; Meschia, James; Cupples, L Adrienne; Sharp, Stephen J; Fornage, Myriam; Kooperberg, Charles; LaCroix, Andrea Z; Dai, James Y; Lanktree, Matthew B; Siscovick, David S; Jorgenson, Eric; Spring, Bonnie; Coresh, Josef; Li, Yun R; Buxbaum, Sarah G; Schreiner, Pamela J; Ellison, R Curtis; Tsai, Michael Y; Patel, Sanjay R.; Redline, Susan; Johnson, Andrew D; Hoogeveen, Ron C; Hakonarson, Hakon; Rotter, Jerome I; Boerwinkle, Eric; de Bakker, Paul I W; Kivimaki, Mika; Asselbergs, Folkert W; Sattar, Naveed; Lawlor, Debbie A; Whittaker, John; Davey Smith, George; Mukamal, Kenneth; Psaty, Bruce M; Wilson, James G; Lange, Leslie A; Hamidovic, Ajna; Hingorani, Aroon D; Nordestgaard, Børge G; Bobak, Martin; Leon, David A; Langenberg, Claudia; Palmer, Tom M; Reiner, Alex P; Keating, Brendan J; Dudbridge, Frank; Casas, Juan PObjective: To use the rs1229984 variant in the alcohol dehydrogenase 1B gene (ADH1B) as an instrument to investigate the causal role of alcohol in cardiovascular disease. Design: Mendelian randomisation meta-analysis of 56 epidemiological studies. Participants: 261 991 individuals of European descent, including 20 259 coronary heart disease cases and 10 164 stroke events. Data were available on ADH1B rs1229984 variant, alcohol phenotypes, and cardiovascular biomarkers. Main outcome measures Odds ratio for coronary heart disease and stroke associated with the ADH1B variant in all individuals and by categories of alcohol consumption. Results: Carriers of the A-allele of ADH1B rs1229984 consumed 17.2% fewer units of alcohol per week (95% confidence interval 15.6% to 18.9%), had a lower prevalence of binge drinking (odds ratio 0.78 (95% CI 0.73 to 0.84)), and had higher abstention (odds ratio 1.27 (1.21 to 1.34)) than non-carriers. Rs1229984 A-allele carriers had lower systolic blood pressure (−0.88 (−1.19 to −0.56) mm Hg), interleukin-6 levels (−5.2% (−7.8 to −2.4%)), waist circumference (−0.3 (−0.6 to −0.1) cm), and body mass index (−0.17 (−0.24 to −0.10) kg/m2). Rs1229984 A-allele carriers had lower odds of coronary heart disease (odds ratio 0.90 (0.84 to 0.96)). The protective association of the ADH1B rs1229984 A-allele variant remained the same across all categories of alcohol consumption (P=0.83 for heterogeneity). Although no association of rs1229984 was identified with the combined subtypes of stroke, carriers of the A-allele had lower odds of ischaemic stroke (odds ratio 0.83 (0.72 to 0.95)). Conclusions: Individuals with a genetic variant associated with non-drinking and lower alcohol consumption had a more favourable cardiovascular profile and a reduced risk of coronary heart disease than those without the genetic variant. This suggests that reduction of alcohol consumption, even for light to moderate drinkers, is beneficial for cardiovascular health.
Publication Dietary fiber intake and mortality among survivors of myocardial infarction: prospective cohort study
(BMJ Publishing Group Ltd., 2014) Li, Shanshan; Flint, Alan; Pai, Jennifer K; Forman, John; Hu, Frank; Willett, Walter; Rexrode, Kathryn; Mukamal, Kenneth; Rimm, EricObjective: To evaluate the associations of dietary fiber after myocardial infarction (MI) and changes in dietary fiber intake from before to after MI with all cause and cardiovascular mortality. Design: Prospective cohort study. Setting: Two large prospective cohort studies of US women and men with repeated dietary measurements: the Nurses’ Health Study and the Health Professionals Follow-Up Study. Participants: 2258 women and 1840 men who were free of cardiovascular disease, stroke, or cancer at enrollment, survived a first MI during follow-up, were free of stroke at the time of initial onset of MI, and provided food frequency questionnaires pre-MI and at least one post-MI. Main outcome measures Associations of dietary fiber post-MI and changes from before to after MI with all cause and cardiovascular mortality using Cox proportional hazards models, adjusting for drug use, medical history, and lifestyle factors. Results: Higher post-MI fiber intake was significantly associated with lower all cause mortality (comparing extreme fifths, pooled hazard ratio 0.75, 95% confidence interval 0.58 to 0.97). Greater intake of cereal fiber was more strongly associated with all cause mortality (pooled hazard ratio 0.73, 0.58 to 0.91) than were other sources of dietary fiber. Increased fiber intake from before to after MI was significantly associated with lower all cause mortality (pooled hazard ratio 0.69, 0.55 to 0.87). Conclusions: In this prospective study of patients who survived MI, a greater intake of dietary fiber after MI, especially cereal fiber, was inversely associated with all cause mortality. In addition, increasing consumption of fiber from before to after MI was significantly associated with lower all cause and cardiovascular mortality.