379 results on '"Swan GE"'
Search Results
2. Lack of associations of CHRNA5-A3-B4 genetic variants with smoking cessation treatment outcomes in Caucasian smokers despite associations with baseline smoking
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Benowitz, Neal, Tyndale, RF, Zhu, AZX, George, TP, Paul, C, Hawk, L, Schnoll, R, Swan, GE, Benowitz, NL, Heitjan, DF, and Lerman, C
- Abstract
© 2015 Tyndale et al.CHRNA5-A3-B4 variants, rs16969968, rs588765 and rs578776, are consistently associated with tobacco consumption among smokers, but the association with smoking cessation is less consistent. Among the studies that reported significant as
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- 2015
3. Gender-stratified gene and gene-treatment interactions in smoking cessation
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Benowitz, Neal, Lee, W, Bergen, AW, Swan, GE, Li, D, Liu, J, Thomas, P, Tyndale, RF, Benowitz, NL, Lerman, C, and Conti, DV
- Abstract
We conducted gender-stratified analyses on a systems-based candidate gene study of 53 regions involved in nicotinic response and the brain-reward pathway in two randomized clinical trials of smoking cessation treatments (placebo, bupropion, transdermal and
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- 2012
4. Integrative approach to pain genetics identifies pain sensitivity loci across diseases
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Butte, Atul, Ruau, D, Dudley, JT, Chen, R, Phillips, NG, Swan, GE, Lazzeroni, LC, Clark, JD, Butte, AJ, and Angst, MS
- Abstract
Identifying human genes relevant for the processing of pain requires difficult-to-conduct and expensive large-scale clinical trials. Here, we examine a novel integrative paradigm for data-driven discovery of pain gene candidates, taking advantage of the va
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- 2012
5. Genome-wide meta-analyses of smoking behaviors in African Americans.
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David, SP, Hamidovic, A, Chen, GK, Bergen, AW, Wessel, J, Kasberger, JL, Brown, WM, Petruzella, S, Thacker, EL, Kim, Y, Nalls, MA, Tranah, GJ, Sung, YJ, Ambrosone, CB, Arnett, D, Bandera, EV, Becker, DM, Becker, L, Berndt, SI, Bernstein, L, Blot, WJ, Broeckel, U, Buxbaum, SG, Caporaso, N, Casey, G, Chanock, SJ, Deming, SL, Diver, WR, Eaton, CB, Evans, DS, Evans, MK, Fornage, M, Franceschini, N, Harris, TB, Henderson, BE, Hernandez, DG, Hitsman, B, Hu, JJ, Hunt, SC, Ingles, SA, John, EM, Kittles, R, Kolb, S, Kolonel, LN, Le Marchand, L, Liu, Y, Lohman, KK, McKnight, B, Millikan, RC, Murphy, A, Neslund-Dudas, C, Nyante, S, Press, M, Psaty, BM, Rao, DC, Redline, S, Rodriguez-Gil, JL, Rybicki, BA, Signorello, LB, Singleton, AB, Smoller, J, Snively, B, Spring, B, Stanford, JL, Strom, SS, Swan, GE, Taylor, KD, Thun, MJ, Wilson, AF, Witte, JS, Yamamura, Y, Yanek, LR, Yu, K, Zheng, W, Ziegler, RG, Zonderman, AB, Jorgenson, E, Haiman, CA, and Furberg, H
- Subjects
Chromosomes ,Human ,Pair 10 ,Chromosomes ,Human ,Pair 15 ,Humans ,Genetic Predisposition to Disease ,Proteoglycans ,Receptors ,Nicotinic ,Nerve Tissue Proteins ,Smoking ,Genotype ,Phenotype ,Polymorphism ,Single Nucleotide ,Adult ,Aged ,Middle Aged ,African Americans ,Female ,Male ,Statistics as Topic ,Genetic Variation ,Genome-Wide Association Study ,Genetic Loci ,African American ,genome-wide association ,health disparities ,nicotine ,smoking ,tobacco ,Chromosomes ,Human ,Pair 10 ,Pair 15 ,Polymorphism ,Single Nucleotide ,Receptors ,Nicotinic ,Clinical Sciences ,Public Health and Health Services ,Psychology - Abstract
The identification and exploration of genetic loci that influence smoking behaviors have been conducted primarily in populations of the European ancestry. Here we report results of the first genome-wide association study meta-analysis of smoking behavior in African Americans in the Study of Tobacco in Minority Populations Genetics Consortium (n = 32,389). We identified one non-coding single-nucleotide polymorphism (SNP; rs2036527[A]) on chromosome 15q25.1 associated with smoking quantity (cigarettes per day), which exceeded genome-wide significance (β = 0.040, s.e. = 0.007, P = 1.84 × 10(-8)). This variant is present in the 5'-distal enhancer region of the CHRNA5 gene and defines the primary index signal reported in studies of the European ancestry. No other SNP reached genome-wide significance for smoking initiation (SI, ever vs never smoking), age of SI, or smoking cessation (SC, former vs current smoking). Informative associations that approached genome-wide significance included three modestly correlated variants, at 15q25.1 within PSMA4, CHRNA5 and CHRNA3 for smoking quantity, which are associated with a second signal previously reported in studies in European ancestry populations, and a signal represented by three SNPs in the SPOCK2 gene on chr10q22.1. The association at 15q25.1 confirms this region as an important susceptibility locus for smoking quantity in men and women of African ancestry. Larger studies will be needed to validate the suggestive loci that did not reach genome-wide significance and further elucidate the contribution of genetic variation to disparities in cigarette consumption, SC and smoking-attributable disease between African Americans and European Americans.
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- 2012
6. The CODATwins Project: The Current Status and Recent Findings of COllaborative Project of Development of Anthropometrical Measures in Twins
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Silventoinen, K, Jelenkovic, A, Yokoyama, Y, Sund, R, Sugawara, M, Tanaka, M, Matsumoto, S, Bogl, LH, Freitas, DL, Maia, JA, Hjelmborg, JVB, Aaltonen, S, Piirtola, M, Latvala, A, Calais-Ferreira, L, Oliveira, VC, Ferreira, PH, Ji, F, Ning, F, Pang, Z, Ordonana, JR, Sanchez-Romera, JF, Colodro-Conde, L, Burt, SA, Klump, KL, Martin, NG, Medland, SE, Montgomery, GW, Kandler, C, McAdams, TA, Eley, TC, Gregory, AM, Saudino, KJ, Dubois, L, Boivin, M, Brendgen, M, Dionne, G, Vitaro, F, Tarnoki, AD, Tarnoki, DL, Haworth, CMA, Plomin, R, Oncel, SY, Aliev, F, Medda, E, Nistico, L, Toccaceli, V, Craig, JM, Saffery, R, Siribaddana, SH, Hotopf, M, Sumathipala, A, Rijsdijk, F, Jeong, H-U, Spector, T, Mangino, M, Lachance, G, Gatz, M, Butler, DA, Gao, W, Yu, C, Li, L, Bayasgalan, G, Narandalai, D, Harden, KP, Tucker-Drob, EM, Christensen, K, Skytthe, A, Kyvik, KO, Derom, CA, Vlietinck, RF, Loos, RJF, Cozen, W, Hwang, AE, Mack, TM, He, M, Ding, X, Silberg, JL, Maes, HH, Cutler, TL, Hopper, JL, Magnusson, PKE, Pedersen, NL, Dahl Aslan, AK, Baker, LA, Tuvblad, C, Bjerregaard-Andersen, M, Beck-Nielsen, H, Sodemann, M, Ullemar, V, Almqvist, C, Tan, Q, Zhang, D, Swan, GE, Krasnow, R, Jang, KL, Knafo-Noam, A, Mankuta, D, Abramson, L, Lichtenstein, P, Krueger, RF, McGue, M, Pahlen, S, Tynelius, P, Rasmussen, F, Duncan, GE, Buchwald, D, Corley, RP, Huibregtse, BM, Nelson, TL, Whitfield, KE, Franz, CE, Kremen, WS, Lyons, MJ, Ooki, S, Brandt, I, Nilsen, TS, Harris, JR, Sung, J, Park, HA, Lee, J, Lee, SJ, Willemsen, G, Bartels, M, Van Beijsterveldt, CEM, Llewellyn, CH, Fisher, A, Rebato, E, Busjahn, A, Tomizawa, R, Inui, F, Watanabe, M, Honda, C, Sakai, N, Hur, Y-M, Sorensen, TIA, Boomsma, DI, Kaprio, J, Silventoinen, K, Jelenkovic, A, Yokoyama, Y, Sund, R, Sugawara, M, Tanaka, M, Matsumoto, S, Bogl, LH, Freitas, DL, Maia, JA, Hjelmborg, JVB, Aaltonen, S, Piirtola, M, Latvala, A, Calais-Ferreira, L, Oliveira, VC, Ferreira, PH, Ji, F, Ning, F, Pang, Z, Ordonana, JR, Sanchez-Romera, JF, Colodro-Conde, L, Burt, SA, Klump, KL, Martin, NG, Medland, SE, Montgomery, GW, Kandler, C, McAdams, TA, Eley, TC, Gregory, AM, Saudino, KJ, Dubois, L, Boivin, M, Brendgen, M, Dionne, G, Vitaro, F, Tarnoki, AD, Tarnoki, DL, Haworth, CMA, Plomin, R, Oncel, SY, Aliev, F, Medda, E, Nistico, L, Toccaceli, V, Craig, JM, Saffery, R, Siribaddana, SH, Hotopf, M, Sumathipala, A, Rijsdijk, F, Jeong, H-U, Spector, T, Mangino, M, Lachance, G, Gatz, M, Butler, DA, Gao, W, Yu, C, Li, L, Bayasgalan, G, Narandalai, D, Harden, KP, Tucker-Drob, EM, Christensen, K, Skytthe, A, Kyvik, KO, Derom, CA, Vlietinck, RF, Loos, RJF, Cozen, W, Hwang, AE, Mack, TM, He, M, Ding, X, Silberg, JL, Maes, HH, Cutler, TL, Hopper, JL, Magnusson, PKE, Pedersen, NL, Dahl Aslan, AK, Baker, LA, Tuvblad, C, Bjerregaard-Andersen, M, Beck-Nielsen, H, Sodemann, M, Ullemar, V, Almqvist, C, Tan, Q, Zhang, D, Swan, GE, Krasnow, R, Jang, KL, Knafo-Noam, A, Mankuta, D, Abramson, L, Lichtenstein, P, Krueger, RF, McGue, M, Pahlen, S, Tynelius, P, Rasmussen, F, Duncan, GE, Buchwald, D, Corley, RP, Huibregtse, BM, Nelson, TL, Whitfield, KE, Franz, CE, Kremen, WS, Lyons, MJ, Ooki, S, Brandt, I, Nilsen, TS, Harris, JR, Sung, J, Park, HA, Lee, J, Lee, SJ, Willemsen, G, Bartels, M, Van Beijsterveldt, CEM, Llewellyn, CH, Fisher, A, Rebato, E, Busjahn, A, Tomizawa, R, Inui, F, Watanabe, M, Honda, C, Sakai, N, Hur, Y-M, Sorensen, TIA, Boomsma, DI, and Kaprio, J
- Abstract
The COllaborative project of Development of Anthropometrical measures in Twins (CODATwins) project is a large international collaborative effort to analyze individual-level phenotype data from twins in multiple cohorts from different environments. The main objective is to study factors that modify genetic and environmental variation of height, body mass index (BMI, kg/m2) and size at birth, and additionally to address other research questions such as long-term consequences of birth size. The project started in 2013 and is open to all twin projects in the world having height and weight measures on twins with information on zygosity. Thus far, 54 twin projects from 24 countries have provided individual-level data. The CODATwins database includes 489,981 twin individuals (228,635 complete twin pairs). Since many twin cohorts have collected longitudinal data, there is a total of 1,049,785 height and weight observations. For many cohorts, we also have information on birth weight and length, own smoking behavior and own or parental education. We found that the heritability estimates of height and BMI systematically changed from infancy to old age. Remarkably, only minor differences in the heritability estimates were found across cultural-geographic regions, measurement time and birth cohort for height and BMI. In addition to genetic epidemiological studies, we looked at associations of height and BMI with education, birth weight and smoking status. Within-family analyses examined differences within same-sex and opposite-sex dizygotic twins in birth size and later development. The CODATwins project demonstrates the feasibility and value of international collaboration to address gene-by-exposure interactions that require large sample sizes and address the effects of different exposures across time, geographical regions and socioeconomic status.
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- 2019
7. Does the sex of one's co-twin affect height and BMI in adulthood? A study of dizygotic adult twins from 31 cohorts
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Bogl, LH, Jelenkovic, A, Vuoksimaa, E, Ahrenfeldt, L, Pietilainen, KH, Stazi, MA, Fagnani, C, D'Ippolito, C, Hur, Y-M, Jeong, H-U, Silberg, JL, Eaves, LJ, Maes, HH, Bayasgalan, G, Narandalai, D, Cutler, TL, Kandler, C, Jang, KL, Christensen, K, Skytthe, A, Kyvik, KO, Cozen, W, Hwang, AE, Mack, TM, Derom, CA, Vlietinck, RF, Nelson, TL, Whitfield, KE, Corley, RP, Huibregtse, BM, McAdams, TA, Eley, TC, Gregory, AM, Krueger, RF, Mcgue, M, Pahlen, S, Willemsen, G, Bartels, M, van Beijsterveldt, TCEM, Pang, Z, Tan, Q, Zhang, D, Martin, NG, Medland, SE, Montgomery, GW, Hjelmborg, JVB, Rebato, E, Swan, GE, Krasnow, R, Busjahn, A, Lichtenstein, P, Oncel, SY, Aliev, F, Baker, LA, Tuvblad, C, Siribaddana, SH, Hotopf, M, Sumathipala, A, Rijsdijk, F, Magnusson, PKE, Pedersen, NL, Aslan, AKD, Ordonana, JR, Sanchez-Romera, JF, Colodro-Conde, L, Duncan, GE, Buchwald, D, Tarnoki, AD, Tarnoki, DL, Yokoyama, Y, Hopper, JL, Loos, RJF, Boomsma, DI, Sorensen, TIA, Silventoinen, K, Kaprio, J, Bogl, LH, Jelenkovic, A, Vuoksimaa, E, Ahrenfeldt, L, Pietilainen, KH, Stazi, MA, Fagnani, C, D'Ippolito, C, Hur, Y-M, Jeong, H-U, Silberg, JL, Eaves, LJ, Maes, HH, Bayasgalan, G, Narandalai, D, Cutler, TL, Kandler, C, Jang, KL, Christensen, K, Skytthe, A, Kyvik, KO, Cozen, W, Hwang, AE, Mack, TM, Derom, CA, Vlietinck, RF, Nelson, TL, Whitfield, KE, Corley, RP, Huibregtse, BM, McAdams, TA, Eley, TC, Gregory, AM, Krueger, RF, Mcgue, M, Pahlen, S, Willemsen, G, Bartels, M, van Beijsterveldt, TCEM, Pang, Z, Tan, Q, Zhang, D, Martin, NG, Medland, SE, Montgomery, GW, Hjelmborg, JVB, Rebato, E, Swan, GE, Krasnow, R, Busjahn, A, Lichtenstein, P, Oncel, SY, Aliev, F, Baker, LA, Tuvblad, C, Siribaddana, SH, Hotopf, M, Sumathipala, A, Rijsdijk, F, Magnusson, PKE, Pedersen, NL, Aslan, AKD, Ordonana, JR, Sanchez-Romera, JF, Colodro-Conde, L, Duncan, GE, Buchwald, D, Tarnoki, AD, Tarnoki, DL, Yokoyama, Y, Hopper, JL, Loos, RJF, Boomsma, DI, Sorensen, TIA, Silventoinen, K, and Kaprio, J
- Abstract
BACKGROUND: The comparison of traits in twins from opposite-sex (OS) and same-sex (SS) dizygotic twin pairs is considered a proxy measure of prenatal hormone exposure. To examine possible prenatal hormonal influences on anthropometric traits, we compared mean height, body mass index (BMI), and the prevalence of being overweight or obese between men and women from OS and SS dizygotic twin pairs. METHODS: The data were derived from the COllaborative project of Development of Anthropometrical measures in Twins (CODATwins) database, and included 68,494 SS and 53,808 OS dizygotic twin individuals above the age of 20 years from 31 twin cohorts representing 19 countries. Zygosity was determined by questionnaires or DNA genotyping depending on the study. Multiple regression and logistic regression models adjusted for cohort, age, and birth year with the twin type as a predictor were carried out to compare height and BMI in twins from OS pairs with those from SS pairs and to calculate the adjusted odds ratios and 95% confidence intervals for being overweight or obese. RESULTS: OS females were, on average, 0.31 cm (95% confidence interval (CI) 0.20, 0.41) taller than SS females. OS males were also, on average, taller than SS males, but this difference was only 0.14 cm (95% CI 0.02, 0.27). Mean BMI and the prevalence of overweight or obesity did not differ between males and females from SS and OS twin pairs. The statistically significant differences between OS and SS twins for height were small and appeared to reflect our large sample size rather than meaningful differences of public health relevance. CONCLUSIONS: We found no evidence to support the hypothesis that prenatal hormonal exposure or postnatal socialization (i.e., having grown up with a twin of the opposite sex) has a major impact on height and BMI in adulthood.
- Published
- 2017
8. Use of the nicotine metabolite ratio as a genetically informed biomarker of response to nicotine patch or varenicline for smoking cessation: A randomised, double-blind placebo-controlled trial
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Lerman, C, Schnoll, RA, Hawk, LW, Cinciripini, P, George, TP, Wileyto, EP, Swan, GE, Benowitz, NL, Heitjan, DF, and Tyndale, RF
- Abstract
© 2015 Elsevier Ltd. Background: Substantial variability exists in therapeutic response and adverse effects with pharmacotherapies for tobacco dependence. Biomarkers to optimise treatment choice for individual smokers might improve treatment outcomes. We tested whether a genetically informed biomarker of nicotine clearance, the nicotine metabolite ratio (NMR; 3'-hydroxycotinine:cotinine), predicts response to nicotine patch or varenicline for smoking cessation. Methods: We undertook NMR-stratified multicentre, randomised, placebo-controlled clinical trial from Nov 16, 2010, to Sept 12, 2014, at four sites. Smokers seeking treatment were randomly assigned by baseline NMR status and study site, in blocks of 12 patients (1:1:1 ratio), to 11 weeks of placebo (placebo pill plus placebo patch), nicotine patch (active patch plus placebo pill), or varenicline (active pill plus placebo patch), plus behavioural counselling. Participants and investigators were masked to group allocation and NMR status. An intention-to-treat analysis was done. Participants were followed up for 12 months after the target quit date. The primary endpoint was biochemically verified 7 day point prevalence abstinence at the end of treatment to estimate the pharmacological effect of treatment by NMR. The trial is registered at ClinicalTrials.gov, number NCT01314001. Findings: 1246 participants (662 slow metabolisers of nicotine, 584 normal metabolisers of nicotine) were enrolled and randomly assigned to the three interventions (408 placebo, 418 nicotine patch, 420 varenicline). At end of treatment, varenicline was more efficacious than nicotine patch in normal metabolisers (OR 2·17, 95% CI 1·38-3·42; p=0·001), but not in slow metabolisers (OR 1·13, 0·74-1·71; p=0·56). In the longitudinal model including all timepoints, the NMR-by-treatment interaction was significant (ratio of odds ratios [ORR] 1·96, 95% CI 1·11-3·46; p=0·02). An NMR-by-treatment interaction showed that slow (. vs normal) metabolisers reported greater overall side-effect severity with varenicline versus placebo (β=-1·06, 95% CI -2·08 to -0·03; p=0·044). Interpretation: Treating normal metabolisers with varenicline and slow metabolisers with nicotine patch could optimise quit rates while minimising side-effects. Funding: National Institutes of Health, Canadian Institutes of Health Research, Abramson Cancer Center, Centre for Addiction and Mental Health Foundation, and Pennsylvania Department of Health.
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- 2015
9. Genetic and environmental effects on body mass index from infancy to the onset of adulthood: an individual-based pooled analysis of 45 twin cohorts participating in the COllaborative project of Development of Anthropometrical measures in Twins (CODATwins)
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Silventoinen, K, Jelenkovic, A, Sund, R, Hur, Y-M, Yokoyama, Y, Honda, C, Hjelmborg, JV, Möller, S, Ooki, S, Aaltonen, S, Ji, F, Ning, F, Pang, Z, Rebato, E, Busjahn, A, Kandler, C, Saudino, KJ, Jang, KL, Cozen, W, Hwang, AE, Mack, TM, Gao, W, Yu, C, Li, L, Corley, RP, Huibregtse, BM, Christensen, K, Skytthe, A, Kyvik, KO, Derom, CA, Vlietinck, RF, Loos, RJ, Heikkilä, K, Wardle, J, Llewellyn, CH, Fisher, A, McAdams, TA, Eley, TC, Gregory, AM, He, M, Ding, X, Bjerregaard-Andersen, M, Beck-Nielsen, H, Sodemann, M, Tarnoki, AD, Tarnoki, DL, Stazi, MA, Fagnani, C, D'Ippolito, C, Knafo-Noam, A, Mankuta, D, Abramson, L, Burt, SA, Klump, KL, Silberg, JL, Eaves, LJ, Maes, HH, Krueger, RF, McGue, M, Pahlen, S, Gatz, M, Butler, DA, Bartels, M, van Beijsterveldt, TC, Craig, Jeffrey, Saffery, R, Freitas, DL, Maia, JA, Dubois, L, Boivin, M, Brendgen, M, Dionne, G, Vitaro, F, Martin, NG, Medland, SE, Montgomery, GW, Chong, Y, Swan, GE, Krasnow, R, Magnusson, PK, Pedersen, NL, Tynelius, P, Lichtenstein, P, Haworth, CM, Plomin, R, Bayasgalan, G, Narandalai, D, Harden, KP, Tucker-Drob, EM, Öncel, SY, Aliev, F, Spector, T, Mangino, M, Lachance, G, Baker, LA, Tuvblad, C, Duncan, GE, Buchwald, D, Willemsen, G, Rasmussen, F, Goldberg, JH, Sørensen, TI, Boomsma, DI, Kaprio, J, Silventoinen, K, Jelenkovic, A, Sund, R, Hur, Y-M, Yokoyama, Y, Honda, C, Hjelmborg, JV, Möller, S, Ooki, S, Aaltonen, S, Ji, F, Ning, F, Pang, Z, Rebato, E, Busjahn, A, Kandler, C, Saudino, KJ, Jang, KL, Cozen, W, Hwang, AE, Mack, TM, Gao, W, Yu, C, Li, L, Corley, RP, Huibregtse, BM, Christensen, K, Skytthe, A, Kyvik, KO, Derom, CA, Vlietinck, RF, Loos, RJ, Heikkilä, K, Wardle, J, Llewellyn, CH, Fisher, A, McAdams, TA, Eley, TC, Gregory, AM, He, M, Ding, X, Bjerregaard-Andersen, M, Beck-Nielsen, H, Sodemann, M, Tarnoki, AD, Tarnoki, DL, Stazi, MA, Fagnani, C, D'Ippolito, C, Knafo-Noam, A, Mankuta, D, Abramson, L, Burt, SA, Klump, KL, Silberg, JL, Eaves, LJ, Maes, HH, Krueger, RF, McGue, M, Pahlen, S, Gatz, M, Butler, DA, Bartels, M, van Beijsterveldt, TC, Craig, Jeffrey, Saffery, R, Freitas, DL, Maia, JA, Dubois, L, Boivin, M, Brendgen, M, Dionne, G, Vitaro, F, Martin, NG, Medland, SE, Montgomery, GW, Chong, Y, Swan, GE, Krasnow, R, Magnusson, PK, Pedersen, NL, Tynelius, P, Lichtenstein, P, Haworth, CM, Plomin, R, Bayasgalan, G, Narandalai, D, Harden, KP, Tucker-Drob, EM, Öncel, SY, Aliev, F, Spector, T, Mangino, M, Lachance, G, Baker, LA, Tuvblad, C, Duncan, GE, Buchwald, D, Willemsen, G, Rasmussen, F, Goldberg, JH, Sørensen, TI, Boomsma, DI, and Kaprio, J
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- 2016
10. Genetic and environmental influences on adult human height across birth cohorts from 1886 to 1994
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Jelenkovic, A, Hur, Y-M, Sund, R, Yokoyama, Y, Siribaddana, SH, Hotopf, M, Sumathipala, A, Rijsdijk, F, Tan, Q, Zhang, D, Pang, Z, Aaltonen, S, Heikkila, K, Oncel, SY, Aliev, F, Rebato, E, Tarnoki, AD, Tarnoki, DL, Christensen, K, Skytthe, A, Kyvik, KO, Silberg, JL, Eaves, LJ, Maes, HH, Cutler, TL, Hopper, JL, Ordonana, JR, Sanchez-Romera, JF, Colodro-Conde, L, Cozen, W, Hwang, AE, Mack, TM, Sun, J, Song, Y-M, Yang, S, Lee, K, Franz, CE, Kremen, WS, Lyons, MJ, Busjahn, A, Nelson, TL, Whitfield, KE, Kandler, C, Jang, KL, Gatz, M, Butler, DA, Stazi, MA, Fagnani, C, D'Ippolito, C, Duncan, GE, Buchwald, D, Derom, CA, Vlietinck, RF, Loos, RJF, Martin, NG, Medland, SE, Montgomery, GW, Jeong, H-U, Swan, GE, Krasnow, R, Magnusson, PKE, Pedersen, NL, Dahl-Aslan, AK, McAdams, TA, Eley, TC, Gregory, AM, Tynelius, P, Baker, LA, Tuvblad, C, Bayasgalan, G, Narandalai, D, Lichtenstein, P, Spector, TD, Mangino, M, Lachance, G, Bartels, M, van Beijsterveldt, TCEM, Willemsen, G, Burt, SA, Klump, KL, Harris, JR, Brandt, I, Nilsen, TS, Krueger, RF, McGue, M, Pahlen, S, Corley, RP, Hjelmborg, JVB, Goldberg, JH, Iwatani, Y, Watanabe, M, Honda, C, Inui, F, Rasmussen, F, Huibregtse, BM, Boomsma, DI, Sorensen, TIA, Kaprio, J, Silventoinen, K, Jelenkovic, A, Hur, Y-M, Sund, R, Yokoyama, Y, Siribaddana, SH, Hotopf, M, Sumathipala, A, Rijsdijk, F, Tan, Q, Zhang, D, Pang, Z, Aaltonen, S, Heikkila, K, Oncel, SY, Aliev, F, Rebato, E, Tarnoki, AD, Tarnoki, DL, Christensen, K, Skytthe, A, Kyvik, KO, Silberg, JL, Eaves, LJ, Maes, HH, Cutler, TL, Hopper, JL, Ordonana, JR, Sanchez-Romera, JF, Colodro-Conde, L, Cozen, W, Hwang, AE, Mack, TM, Sun, J, Song, Y-M, Yang, S, Lee, K, Franz, CE, Kremen, WS, Lyons, MJ, Busjahn, A, Nelson, TL, Whitfield, KE, Kandler, C, Jang, KL, Gatz, M, Butler, DA, Stazi, MA, Fagnani, C, D'Ippolito, C, Duncan, GE, Buchwald, D, Derom, CA, Vlietinck, RF, Loos, RJF, Martin, NG, Medland, SE, Montgomery, GW, Jeong, H-U, Swan, GE, Krasnow, R, Magnusson, PKE, Pedersen, NL, Dahl-Aslan, AK, McAdams, TA, Eley, TC, Gregory, AM, Tynelius, P, Baker, LA, Tuvblad, C, Bayasgalan, G, Narandalai, D, Lichtenstein, P, Spector, TD, Mangino, M, Lachance, G, Bartels, M, van Beijsterveldt, TCEM, Willemsen, G, Burt, SA, Klump, KL, Harris, JR, Brandt, I, Nilsen, TS, Krueger, RF, McGue, M, Pahlen, S, Corley, RP, Hjelmborg, JVB, Goldberg, JH, Iwatani, Y, Watanabe, M, Honda, C, Inui, F, Rasmussen, F, Huibregtse, BM, Boomsma, DI, Sorensen, TIA, Kaprio, J, and Silventoinen, K
- Abstract
Human height variation is determined by genetic and environmental factors, but it remains unclear whether their influences differ across birth-year cohorts. We conducted an individual-based pooled analysis of 40 twin cohorts including 143,390 complete twin pairs born 1886-1994. Although genetic variance showed a generally increasing trend across the birth-year cohorts, heritability estimates (0.69-0.84 in men and 0.53-0.78 in women) did not present any clear pattern of secular changes. Comparing geographic-cultural regions (Europe, North America and Australia, and East Asia), total height variance was greatest in North America and Australia and lowest in East Asia, but no clear pattern in the heritability estimates across the birth-year cohorts emerged. Our findings do not support the hypothesis that heritability of height is lower in populations with low living standards than in affluent populations, nor that heritability of height will increase within a population as living standards improve.
- Published
- 2016
11. Genetic and environmental influences on height from infancy to early adulthood: An individual-based pooled analysis of 45 twin cohorts
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Jelenkovic, A, Sund, R, Hur, Y-M, Yokoyama, Y, Hjelmborg, JVB, Moller, S, Honda, C, Magnusson, PKE, Pedersen, NL, Ooki, S, Aaltonen, S, Stazi, MA, Fagnani, C, D'Ippolito, C, Freitas, DL, Maia, JA, Ji, F, Ning, F, Pang, Z, Rebato, E, Busjahn, A, Kandler, C, Saudino, KJ, Jang, KL, Cozen, W, Hwang, AE, Mack, TM, Gao, W, Yu, C, Li, L, Corley, RP, Huibregtse, BM, Derom, CA, Vlietinck, RF, Loos, RJF, Heikkila, K, Wardle, J, Llewellyn, CH, Fisher, A, McAdams, TA, Eley, TC, Gregory, AM, He, M, Ding, X, Bjerregaard-Andersen, M, Beck-Nielsen, H, Sodemann, M, Tarnoki, AD, Tarnoki, DL, Knafo-Noam, A, Mankuta, D, Abramson, L, Burt, SA, Klump, KL, Silberg, JL, Eaves, LJ, Maes, HH, Krueger, RF, McGue, M, Pahlen, S, Gatz, M, Butler, DA, Bartels, M, van Beijsterveldt, TCEM, Craig, JM, Saffery, R, Dubois, L, Boivin, M, Brendgen, M, Dionne, G, Vitaro, F, Martin, NG, Medland, SE, Montgomery, GW, Swan, GE, Krasnow, R, Tynelius, P, Lichtenstein, P, Haworth, CMA, Plomin, R, Bayasgalan, G, Narandalai, D, Harden, KP, Tucker-Drob, EM, Spector, T, Mangino, M, Lachance, G, Baker, LA, Tuvblad, C, Duncan, GE, Buchwald, D, Willemsen, G, Skytthe, A, Kyvik, KO, Christensen, K, Oncel, SY, Aliev, F, Rasmussen, F, Goldberg, JH, Sorensen, TIA, Boomsma, DI, Kaprio, J, Silventoinen, K, Jelenkovic, A, Sund, R, Hur, Y-M, Yokoyama, Y, Hjelmborg, JVB, Moller, S, Honda, C, Magnusson, PKE, Pedersen, NL, Ooki, S, Aaltonen, S, Stazi, MA, Fagnani, C, D'Ippolito, C, Freitas, DL, Maia, JA, Ji, F, Ning, F, Pang, Z, Rebato, E, Busjahn, A, Kandler, C, Saudino, KJ, Jang, KL, Cozen, W, Hwang, AE, Mack, TM, Gao, W, Yu, C, Li, L, Corley, RP, Huibregtse, BM, Derom, CA, Vlietinck, RF, Loos, RJF, Heikkila, K, Wardle, J, Llewellyn, CH, Fisher, A, McAdams, TA, Eley, TC, Gregory, AM, He, M, Ding, X, Bjerregaard-Andersen, M, Beck-Nielsen, H, Sodemann, M, Tarnoki, AD, Tarnoki, DL, Knafo-Noam, A, Mankuta, D, Abramson, L, Burt, SA, Klump, KL, Silberg, JL, Eaves, LJ, Maes, HH, Krueger, RF, McGue, M, Pahlen, S, Gatz, M, Butler, DA, Bartels, M, van Beijsterveldt, TCEM, Craig, JM, Saffery, R, Dubois, L, Boivin, M, Brendgen, M, Dionne, G, Vitaro, F, Martin, NG, Medland, SE, Montgomery, GW, Swan, GE, Krasnow, R, Tynelius, P, Lichtenstein, P, Haworth, CMA, Plomin, R, Bayasgalan, G, Narandalai, D, Harden, KP, Tucker-Drob, EM, Spector, T, Mangino, M, Lachance, G, Baker, LA, Tuvblad, C, Duncan, GE, Buchwald, D, Willemsen, G, Skytthe, A, Kyvik, KO, Christensen, K, Oncel, SY, Aliev, F, Rasmussen, F, Goldberg, JH, Sorensen, TIA, Boomsma, DI, Kaprio, J, and Silventoinen, K
- Abstract
Height variation is known to be determined by both genetic and environmental factors, but a systematic description of how their influences differ by sex, age and global regions is lacking. We conducted an individual-based pooled analysis of 45 twin cohorts from 20 countries, including 180,520 paired measurements at ages 1-19 years. The proportion of height variation explained by shared environmental factors was greatest in early childhood, but these effects remained present until early adulthood. Accordingly, the relative genetic contribution increased with age and was greatest in adolescence (up to 0.83 in boys and 0.76 in girls). Comparing geographic-cultural regions (Europe, North-America and Australia, and East-Asia), genetic variance was greatest in North-America and Australia and lowest in East-Asia, but the relative proportion of genetic variation was roughly similar across these regions. Our findings provide further insights into height variation during childhood and adolescence in populations representing different ethnicities and exposed to different environments.
- Published
- 2016
12. Supply of veterinary medicinal products to an emerging farming community in the North West Province of South Africa
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Sykes Rd, Swan Ge, and R. Gehring
- Subjects
Veterinary Medicine ,Veterinary medicine ,Emerging Livestock Farmers ,Animal Diseases ,Interviews as Topic ,South Africa ,immune system diseases ,Veterinary Medicinal Products ,Animals ,Humans ,Animal Husbandry ,Medicine, African Traditional ,Drug Supply ,Stock (geology) ,Drug Regulation ,lcsh:Veterinary medicine ,General Veterinary ,Animal health ,business.industry ,Data Collection ,Direct observation ,Veterinary Drugs ,food and beverages ,Subsistence agriculture ,General Medicine ,Focus Groups ,Focus group ,respiratory tract diseases ,North west ,Agriculture ,Animals, Domestic ,lcsh:SF600-1100 ,Field service ,Medicine, Traditional ,Business ,Subsistence ,Phytotherapy - Abstract
A study was conducted in the Madikwe District of the North West Province to investigate the supply of veterinary medicinal products to small-scale, subsistence and emerging farmers. A combination of individual interviews, focus groups and direct observation was used to collect data. Stock remedies were made available to farmers within the district at Field Service Units that were managed by administrative staff of the Directorate of Field Services. The state veterinarian and animal health technicians were not directly involved with the sale of products. Most farmers still travelled to farmers' cooperatives in the larger centres outside the district to purchase the veterinary medicinal products they needed. Factors such as the quality of service provided, affordability and availability of required products as well as inaccessibility of outlets to all farmers contributed to the poor support of these outlets by the farmers of the district.
- Published
- 2002
13. Influence of a dopamine pathway additive genetic efficacy score on smoking cessation: Results from two randomized clinical trials of bupropion
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David, SP, Strong, DR, Leventhal, AM, Lancaster, MA, Mcgeary, JE, Munafò, MR, Bergen, AW, Swan, GE, Benowitz, NL, Tyndale, RF, Conti, DV, Brown, RA, Lerman, C, and Niaura, R
- Abstract
Aims: To evaluate the associations of treatment and an additive genetic efficacy score (AGES) based on dopamine functional polymorphisms with time to first smoking lapse and point prevalence abstinence at end of treatment among participants enrolled into two randomized clinical trials of smoking cessation therapies. Design: Double-blind pharmacogenetic efficacy trials randomizing participants to active or placebo bupropion. Study 1 also randomized participants to cognitive-behavioral smoking cessation treatment (CBT) or this treatment with CBT for depression. Study 2 provided standardized behavioural support. Setting: Two hospital-affiliated clinics (study 1), and two university-affiliated clinics (study 2). Participants: A total of 792 self-identified white treatment-seeking smokers aged ≥18 years smoking ≥10 cigarettes per day over the last year. Measurements: Age, gender, Fagerström Test for Nicotine Dependence, dopamine pathway genotypes (rs1800497 [ANKK1E713K], rs4680 [COMT V158M], DRD4 exon 3 variable number of tandem repeats polymorphism [DRD4VNTR], SLC6A3,3′VNTR) analyzed both separately and as part of an AGES, time to first lapse and point prevalence abstinence at end of treatment. Findings: Significant associations of the AGES (hazard ratio [HR]=1.10, 95% confidence interval [CI]=1.06-1.14, P=0.009) and of the DRD4VNTR (HR=1.29, 95% CI=1.17-1.41, P=0.0073) were observed with time to first lapse. A significant AGES by pharmacotherapy interaction was observed (β standard error=-0.18 [0.07], P=0.016), such that AGES predicted risk for time to first lapse only for individuals randomized to placebo. Conclusions: A score based on functional polymorphisms relating to dopamine pathways appears to predict lapse to smoking following a quit attempt, and the association is mitigated in smokers using bupropion. © 2013 Society for the Study of Addiction.
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- 2013
14. Potential of neuroprotective antioxidant-based therapeutics from Peltophorum africanum sond.(fabaceae)
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Bizimenyera, ES, Aderogba, MA, Eloff, JN, and Swan, GE
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Antioxidant ,Extracts ,Neurodegeneration ,Neuroprotection ,Oxidative stress ,Peltophorum africanum - Abstract
There is ample scientific and empirical evidence supporting the use of plant-derived antioxidants for the control of neurodegenerative disorders. Antioxidants may have neuroprotective (preventing apoptosis) and neuroregenerative roles, by reducing or reversing cellular damage and by slowing progression of neuronal cell loss. Although demand for phytotherapeutic agents is growing, there is need for their scientific validation before plant–derived extracts gain wider acceptance and use. We have evaluated antioxidant potential of Peltophorum africanum (weeping wattle), a plant widespread in the tropics and traditionally used, inter alia, for the relief of acute and chronic pain, anxiety and depression. The dried leaves, bark and root of P. africanum were extracted with acetone. Thin layer chromatograms were sprayed with 0.2% 2,2-diphenyl-1-picryl hydrazyl (DPPH) in methanol for screening for antioxidants. Quantification of antioxidant activity was assessed against 6-hydroxy-2, 5,7,8-tetramethylchromane-2-carboxylic acid (Trolox) and L-ascorbic acid (both standard antioxidants), using two free radicals, 2,2´-azinobis (3-ethyl-benzothiazoline-6-sulfonic acid) (ABTS) and DPPH, respectively. Results of our study show that the bark and root extracts had higher antioxidant activity than L-ascorbic acid and Trolox, a synthetic vitamin-E analogue. The respective TEAC (Trolox Equivalent Antioxidant Capacity) values for the bark and root extracts, and Trolox were 1.08, 1.28 and 1.0. EC50 values for L-ascorbic acid (5.04 μg/mL) was more active than the leaf 6.54 (μg/mL), but much less active than the bark (4.37 μg/mL) and root (3.82 μg/mL) extracts. Continued work on P. africanum, and other plants rich in antioxidants, may avail neuroscientists with potent neuroprotective antioxidant therapeutics. Keywords: Antioxidant; Extracts; Neurodegeneration; Neuroprotection; Oxidative stress; Peltophorum africanum The African Journal of Traditional, Complementary and Alternative Medicines Vol. 4 (1) 2007: pp. 99-106
- Published
- 2007
15. One-Year Abstinence in the St. Helena Smoke-Free Life Program.
- Author
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Hodgkin, JE, primary, Sachs, DP, additional, Swan, GE, additional, Jack, LM, additional, Titus, B, additional, and Raring, S, additional
- Published
- 2009
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16. Genetic Influences in the Variation in Renal Clearance of Nicotine and Cotinine
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Benowitz, NL, primary, Lessov-Schlaggar, CN, additional, and Swan, GE, additional
- Published
- 2008
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17. Aversive and reinforcing opioid effects: a pharmacogenomic twin study.
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Angst MS, Lazzeroni LC, Phillips NG, Drover DR, Tingle M, Ray A, Swan GE, Clark JD, Angst, Martin S, Lazzeroni, Laura C, Phillips, Nicholas G, Drover, David R, Tingle, Martha, Ray, Amrita, Swan, Gary E, and Clark, J David
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- 2012
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18. Providing coaching and cotinine results to preteens to reduce their secondhand smoke exposure: a randomized trial.
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Hovell MF, Wahlgren DR, Liles S, Jones JA, Hughes SC, Matt GE, Ji M, Lessov-Schlaggar CN, Swan GE, Chatfield D, Ding D, Hovell, Melbourne F, Wahlgren, Dennis R, Liles, Sandy, Jones, Jennifer A, Hughes, Suzanne C, Matt, Georg E, Ji, Ming, Lessov-Schlaggar, Christina N, and Swan, Gary E
- Abstract
Background: Secondhand smoke exposure (SHSe) poses health risks to children living with smokers. Most interventions to protect children from SHSe have coached adult smokers. This trial determined whether coaching and cotinine feedback provided to preteens can reduce their SHSe.Methods: Two hundred one predominantly low-income families with a resident smoker and a child aged 8 to 13 years who was exposed to two or more cigarettes per day or had a urine cotinine concentration ≥ 2.0 ng/mL were randomized to control or SHSe reduction coaching groups. During eight in-home sessions over 5 months, coaches presented to the child graphic charts of cotinine assay results as performance feedback and provided differential praise and incentives for cotinine reductions. Generalized estimating equations were used to determine the differential change in SHSe over time by group.Results: For the baseline to posttest period, the coaching group had a greater decrease in both urine cotinine concentration (P = .039) and reported child SHSe in the number of cigarettes exposed per day (child report, P = .003; parent report, P = .078). For posttest to month 12 follow-up, no group or group by time differences were obtained, and both groups returned toward baseline.Conclusions: Coaching preteens can reduce their SHSe, although reductions may not be sustained without ongoing counseling, feedback, and incentives. Unlike interventions that coach adults to reduce child SHSe, programs that increase child avoidance of SHSe have the potential to reduce SHSe in all settings in which the child is exposed, without requiring a change in adult smoking behavior. [ABSTRACT FROM AUTHOR]- Published
- 2011
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19. Genetic association of daytime sleepiness and depressive symptoms in elderly men.
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Lessov-Schlaggar CN, Bliwise DL, Krasnow RE, Swan GE, and Reed T
- Published
- 2008
20. Predictors of 12-month outcome in smokers who received bupropion sustained-release for smoking cessation.
- Author
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Swan GE, Jack LM, Javitz HS, McAfee T, McClure JB, Swan, Gary E, Jack, Lisa M, Javitz, Harold S, McAfee, Tim, and McClure, Jennifer B
- Abstract
Aim: To examine heterogeneity in outcome at 12 months following 8 weeks of treatment for smoking cessation with bupropion sustained-release (SR) 150 or 300 mg/day combined with behavioural counselling.Design, Setting, Participants: Smokers were recruited from a large healthcare system and then randomized to receive either bupropion SR 150 mg/day (n = 763) or 300 mg/day (n = 761) taken for 8 weeks in combination with either proactive telephone counselling or a tailored mail approach.Measurements and Findings: A comprehensive set of relevant individual pretreatment and treatment characteristics was included in the analysis. Smoking outcome at 12 months was defined as point-prevalence of any regular self-reported smoking within the 7 days prior to follow-up contact. Classification and regression tree analysis identified subgroups that varied with respect to likelihood of being nonsmokers at 12 months. Seven subgroups were identified among those receiving bupropion SR 150 mg/day (proportion of nonsmokers at 12 months ranged from 13.7% to 43.5%) and eight subgroups among those receiving bupropion SR 300 mg/day (proportion of nonsmokers at 12 months ranged from 9.6% to 51.7%). In the 150-mg/day group, those with the lowest rate reported no previous quit attempt of 1 month or more in duration while those with the highest rate all reported previous quit attempts of 1 month or longer. In the 300 mg/day group, those with the lowest rate had very high levels of dependence while those with the highest rate were more highly educated and smoked at a lower level. Across all subgroups, cost per 12-month quitter ranged from a low of USD302 to a high of USD2,502.Conclusions: These results indicate the presence of a substantial amount of variation in outcome following treatment with both dosages of bupropion SR, with substantial cost consequences. Variation in outcome could be reduced by providing treatments tailored to subgroups of individuals who are at exceptionally high risk for smoking following a quit attempt. [ABSTRACT FROM AUTHOR]- Published
- 2008
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21. Children of persons with Alzheimer disease: what does the future hold?
- Author
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Jarvik L, LaRue A, Blacker D, Gatz M, Kawas C, McArdle JJ, Morris JC, Mortimer JA, Ringman JM, Ercoli L, Freimer N, Gokhman I, Manly JJ, Plassman BL, Rasgon N, Roberts JS, Sunderland T, Swan GE, Wolf PA, and Zonderman AB
- Abstract
Children of persons with Alzheimer disease (AD), as a group, face an increased risk of developing AD. Many of them, throughout their adult lives, seek input on how to reduce their chances of one day suffering their parent's fate. We examine the state of knowledge with respect to risk and protective factors for AD and recommend a research agenda with special emphasis on AD offspring. [ABSTRACT FROM AUTHOR]
- Published
- 2008
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22. Support for previously identified alcoholism susceptibility Loci in a cohort selected for smoking behavior.
- Author
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Wilhelmsen KC, Swan GE, Cheng LS, Lessov-Schlaggar CN, Amos CI, Feiler HS, Hudmon KS, Ring HZ, Andrews JA, Tildesley E, Benowitz NL, and Hops H
- Abstract
BACKGROUND: Alcohol consumption and alcoholism are heritable traits. Previous linkage analyses for alcoholism and related traits have identified several putative susceptibility loci. In this paper we use, for the first time, linkage analysis to search for alcoholism-related phenotypes in a family sample selected for smoking behavior. METHODS: Genome-wide model free linkage analysis was conducted for a variety of phenotypes related to alcohol consumption in 158 nuclear families ascertained for having at least two first-degree relatives who smoked 100 or more cigarettes in their lifetime. The phenotypes included dichotomous, ordinal, and continuous traits. Because the traits were typically not normally distributed the QTL score statistic as implemented in Merlin was employed to deal with deviations from normality. Simulation analysis determined that the QTL score statistic is robust to deviations from normality. RESULTS: Linkage analysis detected three loci, one on chromosome 2 and two on chromosome 4, with nominal significance (LOD score > 2.7). These loci appear to be in close proximity to loci reported in other studies. CONCLUSIONS: While these findings did not reach genome-wide significance (LOD >4.0 given multiple comparisons) we have confidence that genes in these regions affect alcohol consumption. Two of the three significant findings in this analysis have been reported previously as alcoholism susceptibility loci. Simulation analysis shows that the most widely replicated finding on chromosome 4 is strongly supported (p=0.01) even with correction for multiple comparisons. These findings suggest that previously reported linkage results are robust to the effects of different approaches to sample ascertainment and definition. [ABSTRACT FROM AUTHOR]
- Published
- 2005
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23. Association of sex steroid hormones with brain morphology and cognition in healthy elderly men.
- Author
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Lessov-Schlaggar CN, Reed T, Swan GE, Krasnow RE, DeCarli C, Marcus R, Holloway L, Wolf PA, and Carmelli D
- Published
- 2005
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24. Genetic and environmental influences in sleep-disordered breathing in older male twins.
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Carmelli D, Colrain IM, Swan GE, and Bilwise DL
- Published
- 2004
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25. Depressive symptoms and metabolic risk in adult male twins enrolled in the National Heart, Lung, and Blood Institute twin study.
- Author
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McCaffery JM, Niaura R, Todaro JF, Swan GE, Carmelli D, McCaffery, Jeanne M, Niaura, Raymond, Todaro, John F, Swan, Gary E, and Carmelli, Dorit
- Published
- 2003
- Full Text
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26. A meta-analysis of estimated genetic and environmental effects on smoking behavior in male and female adult twins.
- Author
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Li MD, Cheng R, Ma JZ, and Swan GE
- Abstract
BACKGROUND: Numerous twin studies on smoking behavior have shown that genetic and environmental factors play significant and approximately equal roles in the determination of smoking initiation (SI) and smoking persistence (SP). However, estimates of heritability (h2), shared (c2) and unique environmental effects (e2) from the literature display considerable variability for SI and SP, due most probably to differences in statistical analysis models, age, gender, sample size, origin of cohorts and measurement of smoking behavior. METHODS: A systematic literature search identified six studies for SI and 10 studies for SP. Data from these studies were obtained and re-analysed by meta-analytical techniques. RESULTS: For SI, our results indicate that the parameters h2, c2 and e2 are (mean +/- SEM): 0.37 +/- 0.04, 0.49 +/- 0.04 and 0.17 +/- 0.03 in male adults, and 0.55 +/- 0.04, 0.24 +/- 0.06 and 0.16 +/- 0.01 in female adults, respectively. These values were weighted by a combination of original estimates of variance from studies reporting variances plus estimated variances from studies where variances were not reported (called the combined variance method). Using the same approach for SP, we found that the parameters h2, c2 and e2 weighted by the combined variance method for the phenotype are (mean +/- SEM): 0.59 +/- 0.02, 0.08 +/- 0.04 and 0.37 +/- 0.03 in male adults, and 0.46 +/- 0.12, 0.28 +/- 0.08 and 0.24 +/- 0.07 in female adults, respectively. CONCLUSIONS: Our results indicate that genetic factors play a more significant role for SI but a less significant role for SP in female adults compared to male adults. Significant gender difference was also detected in shared environmental factors for SI and SP. However, no significant gender difference was detected for e2 for either phenotype. These findings suggest that genetic and environmental factors may contribute differently to the determination of smoking initiation and persistence in male and female smokers. [ABSTRACT FROM AUTHOR]
- Published
- 2003
27. Midlife cardiovascular risk factors and brain morphology in identical older male twins.
- Author
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Carmelli D, Swan GE, Reed T, Wolf PA, Miller BL, DeCarli C, Carmelli, D, Swan, G E, Reed, T, Wolf, P A, Miller, B L, and DeCarli, C
- Published
- 1999
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28. Reversal theory and smoking: a state-based approach to ex-smokers' highly tempting situations.
- Author
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O'Connell KA, Cook MR, Gerkovich MM, Potocky M, and Swan GE
- Published
- 1990
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29. Systolic blood pressure tracking over 25 to 30 years and cognitive performance in older adults.
- Author
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Swan GE, Carmelli D, Larue A, Swan, G E, Carmelli, D, and Larue, A
- Published
- 1998
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30. Quantitative Sputum Cytologic Findings in 109 Nonsmokers
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Roby Tj, Swan Ge, Schumann Gb, and Sorensen Kw
- Subjects
Adult ,Pulmonary and Respiratory Medicine ,Pathology ,medicine.medical_specialty ,Gastroenterology ,Asymptomatic ,Cigarette smoking ,Reference Values ,Cytology ,Internal medicine ,medicine ,Carcinoma ,Humans ,Aged ,Metaplasia ,business.industry ,Smoking ,Sputum ,Middle Aged ,medicine.disease ,respiratory tract diseases ,Dysplasia ,Cytopathology ,medicine.symptom ,business ,Bronchial epithelium - Abstract
While sputum cytologic findings associated with cigarette smoking have been described, little information is available regarding nonsmokers for comparative analysis. Over a 3-month period, our cytopathology laboratory examined 3-day pooled sputa from 109 never smokers. Eighty-five percent were able to produce satisfactory results without recourse to induction. Ninety of 93 (97%) individuals had negative or reactive sputum cytologic findings. No carcinoma was identified. Two cases showed metaplastic changes and one case revealed dysplasia but all were from symptomatic never smokers. Eight components of stimulation of bronchial epithelium were microscopically quantified on each case and the mean values of each were calculated to produce a profile of an asymptomatic never smoker.
- Published
- 1989
31. Parental smoking cessation and children's daily smoking: public health implications? Commentary on Bricker et al.
- Author
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Swan GE
- Published
- 2003
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32. Antimicrobial and anti-inflammatory activity of four known and one new triterpenoid from Combretum imberbe (Combretaceae)
- Author
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Angeh JE, Huang X, Sattler I, Swan GE, Dahse H, Härtl A, and Eloff JN
- Abstract
Combretum imberbe is used widely in Africa inter alia for treating bacterial infections. In addition to four known triterpenoids, 1alpha,3beta-dihydroxy-12-oleanen-29-oic (1), 1-hydroxy-12-olean-30-oic acid (2), 3,30-dihydroxyl-12-oleanen-22-one (3), and 1,3,24-trihydroxyl-12-olean-29-oic acid (4), a new pentacyclic triterpenoid (1alpha,23-dihydroxy-12-oleanen-29-oic acid-3beta-O-2,4-di-acetyl-l-rhamnopyranoside) 5 has been isolated through a bioassay-guided procedure from the leaves of Combretum imberbe. The structures of the compounds were elucidated on the basis of 1D and 2D NMR experiments, as well as mass spectrometric data. All compounds isolated had moderate (62mug/ml) to strong (16mug/ml) antibacterial activity (MIC values) against Staphylococcus aureus and Escherichia coli, with 1 and 5 being most active. Compounds 1 and 5 also showed very strong inhibition of 3alpha-hydroxysteroid dehydrogenase with an IC(50) of 0.3mug/ml. Compound 5 indicated a moderate anti-proliferative (GI(50)=16.5 and 13.2mug/ml) and cytotoxic activity (CC(50)=17.6mug/ml) against K-562, L-929 and HeLa cell lines, respectively. The results of this study give credence to the ethnomedicinal use of Combretum imberbe and expand our knowledge on the biological activity of its metabolites. [ABSTRACT FROM AUTHOR]
- Published
- 2007
- Full Text
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33. Electroencephalogram (EEG) assessment of brain activity before and after electrical stunning in the Nile crocodile (Crocodylus niloticus).
- Author
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Du Plooy KJ, Swan GE, Myburgh JG, and Zeiler GE
- Subjects
- Animals, Reproducibility of Results, Abattoirs, Unconsciousness, Confusion, Electroencephalography, Brain, Alligators and Crocodiles
- Abstract
Electrical stunning is used to capture crocodiles to perform routine management procedures. It is essential from a welfare point that electrical stunning must cause unconsciousness in animals. However, there is no information of whether or not electrical stunning causes unconsciousness in the Nile crocodile (Crocodylus niloticus). The purpose of the study was to assess brain activity before and after electrical stunning in crocodiles using a 5-channel referential electroencephalogram analysis to determine consciousness. Behavioural indicators and electroencephalogram recordings of 15 captive-bred crocodiles were captured and analysed using power spectral density analysis immediately before and after stunning and then at 60 s intervals until 5 min post-stunning. A standardised stun of 170 Volts was applied for 5-7 s on the wetted neck. Unconsciousness was defined as a decrease in alpha wave power and increase in delta wave power. Three of the electroencephalograms could not be assessed. Unconsciousness was identified in 6 out of 12 crocodiles and lasted for an average for 120 s. An increase in electroencephalogram waveform amplitude and tonic-clonic seizure-like waveform activity and behaviour indicators were not reliable indicators of unconsciousness. Further research should be focused on improving the efficiency and reliability of electrical stunning., (© 2023. The Author(s).)
- Published
- 2023
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34. Smoking cessation, harm reduction, and biomarkers protocols in the PhenX Toolkit: Tools for standardized data collection.
- Author
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Bierut LJ, Hendershot TP, Benowitz NL, Cummings KM, Mermelstein RJ, Piper ME, Vrieze SI, Wagener TL, Nelms MD, Ives C, Maiese D, Hamilton CM, and Swan GE
- Abstract
The use of standard protocols in studies supports consistent data collection, improves data quality, and facilitates cross-study analyses. Funded by the National Institutes of Health, the PhenX (consensus measures for Phen otypes and e X posures) Toolkit is a catalog of recommended measurement protocols that address a wide range of research topics and are suitable for inclusion in a variety of study designs. In 2020, a PhenX Working Group of smoking cessation experts followed a well-established consensus process to identify and recommend measurement protocols suitable for inclusion in smoking cessation and smoking harm reduction studies. The broader scientific community was invited to review and provide feedback on the preliminary recommendation of the Working Group. Fourteen selected protocols for measuring smoking cessation, harm reduction, and biomarkers research associated with smoking cessation were released in the PhenX Toolkit ( https://www.phenxtoolkit.org) in February 2021. These protocols complement existing PhenX Toolkit content related to tobacco regulatory research, substance use and addiction research, and other measures of smoking-related health outcomes. Adopting well-established protocols enables consistent data collection and facilitates comparing and combining data across studies, potentially increasing the scientific impact of individual studies., Competing Interests: ☆*Conflict of Interest: None
- Published
- 2023
- Full Text
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35. The structure of the eggshell and eggshell membranes of Crocodylus niloticus.
- Author
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Lensink AV, Swan GE, and Myburg JG
- Subjects
- Animals, Microscopy, Electron, Scanning, Tomography, X-Ray Computed, Magnesium analysis, Egg Shell chemistry, Calcium Carbonate analysis
- Abstract
The macro- and microstructure, elemental composition, and crystallographic characteristics of the eggshell and eggshell membranes of the Crocodylus niloticus egg was investigated using optical and electron microscopy, energy-dispersive X-ray spectroscopy (EDS), electron backscatter diffraction (EBSD) and computerised tomography. The translucent ellipsoid egg is composed of two basic layers, the outer calcified layer referred to as the shell and an inner organic fibre layer, referred to as the shell membrane. The outer inorganic calcite shell is further divided into an external, palisade and mammillary layers with pore channels traversing the shell. The external layer is a thin layer of amorphous calcium and phosphorus, the underlying palisade layer consist of irregular wedge-shaped crystals composed calcite with traces of magnesium, sodium, sulphur and phosphorus. The crystals are mostly elongated, orientated perpendicular to the shell surface ending in cone-shaped knobs, which forms the inner mammillary layer. The elemental composition of the mammillae is like that of the palisade layer, but the crystal structure is much smaller and orientated randomly. The highest number of mammillae and shell pores are found at the equator of the egg, becoming fewer towards the egg poles. The shell thickness follows the same pattern, with the thickest area located at the equator. The eggshell membrane located right beneath and embedded in the mammillary layer of the shell; it is made up of unorganised fibre sheets roughly orientated at right angles to one another. Individual fibres consist of numerous smaller fibrils forming open channels that run longitudinally through the fibre., (© 2023 The Authors. Journal of Microscopy published by John Wiley & Sons Ltd on behalf of Royal Microscopical Society.)
- Published
- 2023
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36. Evaluating Treatment Mechanisms of Varenicline: Mediation by Affect and Craving.
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Tonkin SS, Colder C, Mahoney MC, Swan GE, Cinciripini P, Schnoll R, George TP, Tyndale RF, and Hawk LW
- Subjects
- Adult, Humans, Varenicline therapeutic use, Craving, Recurrence, Quinoxalines therapeutic use, Benzazepines therapeutic use, Smoking Cessation methods, Cigarette Smoking
- Abstract
Introduction: Negative reinforcement models posit that relapse to cigarette smoking is driven in part by changes in affect and craving during the quit attempt. Varenicline may aid cessation by attenuating these changes; however, this mediational pathway has not been formally evaluated in placebo-controlled trials. Thus, trajectories of negative affect (NA), positive affect (PA), and craving were tested as mediators of the effect of varenicline on smoking cessation., Aims and Methods: Secondary data analysis was conducted on 828 adults assigned to either varenicline or placebo in a randomized controlled trial for smoking cessation (NCT01314001). Self-reported NA, PA, and craving were assessed 1-week pre-quit, on the target quit day (TQD), and 1 and 4 weeks post-TQD., Results: Across time, NA peaked 1-week post-quit, PA did not change, and craving declined. Less steep rises in NA (indirect effect 95% CI: .01 to .30) and lower mean craving at 1-week post-quit (CI: .06 to .50) were mediators of the relationship between varenicline and higher cessation rates at the end of treatment. PA was associated with cessation but was not a significant mediator., Conclusions: These results partially support the hypothesis that varenicline improves smoking cessation rates by attenuating changes in specific psychological processes and supported NA and craving as plausible treatment mechanisms of varenicline., Implications: The present research provides the first evidence from a placebo-controlled randomized clinical trial that varenicline's efficacy is due, in part, to post-quit attenuation of NA and craving. Reducing NA across the quit attempt and craving early into the attempt may be important treatment mechanisms for effective interventions. Furthermore, post-quit NA, PA, and craving were all associated with relapse and represent treatment targets for future intervention development., (© The Author(s) 2022. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
- Published
- 2022
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37. Implementation Strategies for Improving Vitamin D Status and Increasing Vitamin D Intake in the UK: Current Controversies and Future Perspectives. Proceedings of the 2nd Rank Prize Funds Forum on Vitamin D - CORRIGENDUM.
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Buttriss JL, Lanham-New SA, Steenson S, Levy L, Swan GE, Darling AL, Cashman KD, Allen RE, Durrant LR, Smith CP, Magee P, Hill TR, Uday S, Kiely M, Delamare G, Hoyland AE, Larsen L, Street LN, Mathers JC, and Prentice A
- Published
- 2022
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38. Balfour et al. Respond.
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Balfour DJK, Benowitz NL, Colby SM, Hatsukami DK, Lando HA, Leischow SJ, Lerman C, Mermelstein RJ, Niaura R, Perkins KA, Pomerleau OF, Rigotti NA, Swan GE, Warner KE, and West R
- Published
- 2022
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39. Balancing Consideration of the Risks and Benefits of E-Cigarettes.
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Balfour DJK, Benowitz NL, Colby SM, Hatsukami DK, Lando HA, Leischow SJ, Lerman C, Mermelstein RJ, Niaura R, Perkins KA, Pomerleau OF, Rigotti NA, Swan GE, Warner KE, and West R
- Subjects
- Adolescent, Adult, Humans, United States, Cigarette Smoking prevention & control, Electronic Nicotine Delivery Systems statistics & numerical data, Smoking Prevention methods, Tobacco Smoking therapy, Vaping prevention & control
- Abstract
The topic of e-cigarettes is controversial. Opponents focus on e-cigarettes' risks for young people, while supporters emphasize the potential for e-cigarettes to assist smokers in quitting smoking. Most US health organizations, media coverage, and policymakers have focused primarily on risks to youths. Because of their messaging, much of the public-including most smokers-now consider e-cigarette use as dangerous as or more dangerous than smoking. By contrast, the National Academies of Science, Engineering, and Medicine concluded that e-cigarette use is likely far less hazardous than smoking. Policies intended to reduce adolescent vaping may also reduce adult smokers' use of e-cigarettes in quit attempts. Because evidence indicates that e-cigarette use can increase the odds of quitting smoking, many scientists, including this essay's authors, encourage the health community, media, and policymakers to more carefully weigh vaping's potential to reduce adult smoking-attributable mortality. We review the health risks of e-cigarette use, the likelihood that vaping increases smoking cessation, concerns about youth vaping, and the need to balance valid concerns about risks to youths with the potential benefits of increasing adult smoking cessation.
- Published
- 2021
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40. PhenX: Agent measures for tobacco regulatory research.
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O'Connor R, Watson CH, Swan GE, Nettles DS, Geisler RC, and Hendershot TP
- Subjects
- Advisory Committees, Consensus, Humans, Inhalation Exposure, Product Labeling, Research Design, Smoking legislation & jurisprudence, Software, Tobacco Use legislation & jurisprudence, Data Collection standards, Epidemiological Monitoring, Smoking epidemiology, Smoking Devices standards, Tobacco Use epidemiology
- Abstract
The current paper describes the PhenX (Phenotypes and eXposures) Toolkit Tobacco Regulatory Research Agent specialty area and the Agent Working Group's (WG's) 6-month consensus process to identify high-priority, scientifically supported measures for cross-study comparison and analysis. Eleven measures were selected for inclusion in the Toolkit. Eight of these are interviewer-administered or self-administered protocols: history of switching to lower tar and nicotine cigarettes, passive exposures to tobacco products, tobacco brand and variety (covering cigars, cigarettes and smokeless tobacco separately), tobacco product adulteration (vent-blocking or filter-blocking) and tobacco warning label exposure and recall. The remaining three protocols are either laboratory-based or visual inspection-based: measurement of nicotine content in smoked or smokeless tobacco products and the physical properties of these two classes of products. Supplemental protocols include a biomarker of exposure and smoking topography. The WG identified the lack of standard measurement protocols to assess subjective ratings of tobacco product flavours and their appeal to consumers as a major gap. As the characteristics of tobacco products that influence perception and use are tobacco regulatory research priorities, the reliable assessment of flavours remains an area requiring further development., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2020
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41. PhenX: Host: Social/Cognitive measures for tobacco regulatory research.
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Piper ME, Brown DC, Hendershot TP, and Swan GE
- Subjects
- Adolescent, Adult, Advisory Committees, Consensus, Humans, Phenotype, Research Design, Smoking Devices, Tobacco Use legislation & jurisprudence, Data Collection methods, Data Collection standards, Guidelines as Topic, Smokers psychology, Smoking epidemiology, Social Factors, Tobacco Use epidemiology
- Abstract
A working group (WG) of experts from diverse fields related to nicotine and tobacco addiction was convened to identify elements and measures from the Host: Social/Cognitive domain to include in the Tobacco Regulatory Research Collection in the PhenX Toolkit, a catalogue of measures for biomedical research. This paper describes the methods used to identify, select, approve and include measures in the toolkit with potential relevance to users of both conventional and newer tobacco products, such as electronic cigarettes (e-cigarettes). In addition to 25 complementary measures primarily focused on cigarette use already present in the PhenX Toolkit, the WG recommended 11 additional social/cognitive measures focused on children and adult users or potential users of tobacco products. Of these, 10 were self-administered measures: frequency of communication with parents about smoking, quality of communication with parents about smoking, susceptibility to tobacco use, behaviour economics/purchase behaviour, motivation to quit (both single and multi-item measures), hedonic tone or response to pleasurable situations, multigroup ethnic identity, peer and family influence on smoking, attentional control and house rules about tobacco use. The remaining selected measure was computer based (distress tolerance). Although validated tools for use in the Host: Social/Cognitive realm are available, much remains to be done to develop, standardise and validate the tools for application to users of e-cigarettes and other non-combusted tobacco products, non-English language speakers and adolescents., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2020
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42. PhenX: Environment measures for Tobacco Regulatory Research.
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Unger JB, Chaloupka FJ, Vallone D, Thrasher JF, Nettles DS, Hendershot TP, and Swan GE
- Subjects
- Advertising, Advisory Committees, Consensus, Humans, Mass Media, Research Design, Social Norms, Software, Tobacco Use legislation & jurisprudence, Data Collection standards, Guidelines as Topic, Policy, Social Environment, Tobacco Use epidemiology
- Abstract
Objective: A Working Group (WG) of tobacco regulatory science experts identified measures for the tobacco environment domain., Methods: This article describes the methods by which measures were identified, selected, approved and placed in the PhenX Toolkit., Findings: The WG identified 20 initial elements relevant to tobacco regulatory science and determined whether they were already in the PhenX Toolkit or whether novel or improved measures existed. In addition to the 10 complementary measures already in the Toolkit, the WG recommended 13 additional measures: aided and confirmed awareness of televised antitobacco advertising, interpersonal communication about tobacco advertising, media use, perceived effectiveness of antitobacco advertising, exposure to smoking on television and in the movies, social norms about tobacco (for adults and for youth), worksite policies, youth cigarette purchase behaviours and experiences, compliance with cigarette packaging and labelling policies, local and state tobacco control public policies, and neighbourhood-level racial/ethnic composition. Supplemental measures included youth social capital and compliance with smoke-free air laws and with point of sale and internet tobacco marketing restrictions. Gaps were identified in the areas of policy environment (public and private), communications environment, community environment and social environment (ie, the norms/acceptability of tobacco use)., Conclusions: Consistent use of these tobacco environment measures will enhance rigor and reproducability of tobacco research., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) [year]. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2020
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43. PhenX: Host: Biobehavioral measures for tobacco regulatory research.
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Giovino GA, Swan GE, Blount B, O'Malley S, Brown DC, and Hendershot TP
- Subjects
- Adolescent, Adult, Advisory Committees, Carbon Dioxide analysis, Consensus, Cotinine blood, Cues, Female, Humans, Male, Nitrosamines urine, Phenotype, Pregnancy, Software, Substance Withdrawal Syndrome epidemiology, Tobacco Use legislation & jurisprudence, Data Collection methods, Data Collection standards, Research Design standards, Smokers psychology, Smoking epidemiology, Tobacco Use epidemiology
- Abstract
A working group (WG) of experts from diverse fields related to nicotine and tobacco addiction was constituted to identify constructs and measures for the PhenX (Phenotypes and eXposures) Tobacco Regulatory Research (TRR) Host: Biobehavioral Collection with potential relevance to users of both conventional and newer tobacco products. This paper describes the methods and results the WG used to identify, select, approve and place measures in the PhenX TRR Collection. The WG recognised 13 constructs of importance to guide their categorisation of measures already in the PhenX Toolkit ('complementary measures') and to identify novel or improved measures of special relevance to tobacco regulatory science. In addition to the 22 complementary measures of relevance to tobacco use already in the PhenX Toolkit, the WG identified and recommended nine additional Host: Biobehavioral measures characterising the use, exposure and health outcomes of tobacco products for application to TRR. Of these, five were self-administered or interviewer-administered measures: amount, type and frequency of recent tobacco use; flavor preference in e-cigarette users (adult and youth); pregnancy status and tobacco use; pregnancy status-mother and baby health and withdrawal from tobacco use. The remaining four measures were laboratory-based: cotinine in serum, expired carbon monoxide, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol in urine and cue reactivity. Although a number of validated tools are now available in the Host: Biobehavioral Collection, several gaps were identified, including a need to develop and test the identified measures in adolescent samples and to develop or identify measures of nicotine dependence, tolerance and withdrawal associated with newer non-combusted tobacco products., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2020
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44. PhenX: Vector measures for tobacco regulatory research.
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Ribisl KM, Chaloupka FJ, Kirchner TR, Henriksen L, Nettles DS, Geisler RC, Hendershot TP, and Swan GE
- Subjects
- Advisory Committees, Commerce, Consensus, Epidemiologic Studies, Humans, Marketing, Research Design, Self Report, Software, Tobacco Industry legislation & jurisprudence, Tobacco Products legislation & jurisprudence, Tobacco Use legislation & jurisprudence, Data Collection standards, Tobacco Industry economics, Tobacco Products economics, Tobacco Use economics
- Abstract
The PhenX (Phenotypes and eXposures) Toolkit provides researchers with recommended standard consensus measures for use in epidemiological, biomedical, clinical and translational studies. To expand the depth and breadth of measures in the PhenX Toolkit, the National Institutes of Health and U.S. Food and Drug Administration have launched a project to identify 'Core' and 'Specialty' collections of measures recommended for human subjects studies in tobacco regulatory research (TRR). The current paper addresses the PhenX Toolkit TRR Vector specialty area and describes the 6-month process to identify high-priority, low-burden, scientifically supported consensus measures. Self-reported, interviewer-administered and observational measurements were considered, and input from the research community assisted in justifying the inclusion of 13 tobacco industry-relevant measures (mainly interviewer-administered or self-reported measures) in the PhenX Toolkit. Compared with measures of addiction or the use of tobacco products, assessments of many Vector factors are much newer and at an earlier stage of development. More work is needed to refine and validate measures of the spatial distribution of tobacco retailers, retail environment, price promotions and corporate social responsibility., Competing Interests: Competing interests: Dr. Ribisl serves as an expert consultant in litigation against tobacco companies. No other interests were declared., (© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2020
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45. The CODATwins Project: The Current Status and Recent Findings of COllaborative Project of Development of Anthropometrical Measures in Twins.
- Author
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Silventoinen K, Jelenkovic A, Yokoyama Y, Sund R, Sugawara M, Tanaka M, Matsumoto S, Bogl LH, Freitas DL, Maia JA, Hjelmborg JVB, Aaltonen S, Piirtola M, Latvala A, Calais-Ferreira L, Oliveira VC, Ferreira PH, Ji F, Ning F, Pang Z, Ordoñana JR, Sánchez-Romera JF, Colodro-Conde L, Burt SA, Klump KL, Martin NG, Medland SE, Montgomery GW, Kandler C, McAdams TA, Eley TC, Gregory AM, Saudino KJ, Dubois L, Boivin M, Brendgen M, Dionne G, Vitaro F, Tarnoki AD, Tarnoki DL, Haworth CMA, Plomin R, Öncel SY, Aliev F, Medda E, Nisticò L, Toccaceli V, Craig JM, Saffery R, Siribaddana SH, Hotopf M, Sumathipala A, Rijsdijk F, Jeong HU, Spector T, Mangino M, Lachance G, Gatz M, Butler DA, Gao W, Yu C, Li L, Bayasgalan G, Narandalai D, Harden KP, Tucker-Drob EM, Christensen K, Skytthe A, Kyvik KO, Derom CA, Vlietinck RF, Loos RJF, Cozen W, Hwang AE, Mack TM, He M, Ding X, Silberg JL, Maes HH, Cutler TL, Hopper JL, Magnusson PKE, Pedersen NL, Dahl Aslan AK, Baker LA, Tuvblad C, Bjerregaard-Andersen M, Beck-Nielsen H, Sodemann M, Ullemar V, Almqvist C, Tan Q, Zhang D, Swan GE, Krasnow R, Jang KL, Knafo-Noam A, Mankuta D, Abramson L, Lichtenstein P, Krueger RF, McGue M, Pahlen S, Tynelius P, Rasmussen F, Duncan GE, Buchwald D, Corley RP, Huibregtse BM, Nelson TL, Whitfield KE, Franz CE, Kremen WS, Lyons MJ, Ooki S, Brandt I, Nilsen TS, Harris JR, Sung J, Park HA, Lee J, Lee SJ, Willemsen G, Bartels M, van Beijsterveldt CEM, Llewellyn CH, Fisher A, Rebato E, Busjahn A, Tomizawa R, Inui F, Watanabe M, Honda C, Sakai N, Hur YM, Sørensen TIA, Boomsma DI, and Kaprio J
- Subjects
- Adolescent, Adult, Aged, Child, Child, Preschool, Female, Humans, Infant, Infant, Newborn, Male, Middle Aged, Socioeconomic Factors, Aging genetics, Body Height genetics, Body Mass Index, Databases, Factual, Gene-Environment Interaction, Twins, Dizygotic genetics
- Abstract
The COllaborative project of Development of Anthropometrical measures in Twins (CODATwins) project is a large international collaborative effort to analyze individual-level phenotype data from twins in multiple cohorts from different environments. The main objective is to study factors that modify genetic and environmental variation of height, body mass index (BMI, kg/m2) and size at birth, and additionally to address other research questions such as long-term consequences of birth size. The project started in 2013 and is open to all twin projects in the world having height and weight measures on twins with information on zygosity. Thus far, 54 twin projects from 24 countries have provided individual-level data. The CODATwins database includes 489,981 twin individuals (228,635 complete twin pairs). Since many twin cohorts have collected longitudinal data, there is a total of 1,049,785 height and weight observations. For many cohorts, we also have information on birth weight and length, own smoking behavior and own or parental education. We found that the heritability estimates of height and BMI systematically changed from infancy to old age. Remarkably, only minor differences in the heritability estimates were found across cultural-geographic regions, measurement time and birth cohort for height and BMI. In addition to genetic epidemiological studies, we looked at associations of height and BMI with education, birth weight and smoking status. Within-family analyses examined differences within same-sex and opposite-sex dizygotic twins in birth size and later development. The CODATwins project demonstrates the feasibility and value of international collaboration to address gene-by-exposure interactions that require large sample sizes and address the effects of different exposures across time, geographical regions and socioeconomic status.
- Published
- 2019
- Full Text
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46. The NAS-NRC Twin Registry and Duke Twins Study of Memory in Aging: An Update.
- Author
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Gatz M, Plassman BL, Tanner CM, Goldman SM, Swan GE, Chanti-Ketterl M, Walters EE, and Butler DA
- Subjects
- Aged, 80 and over, Female, Humans, Male, National Academies of Science, Engineering, and Medicine, U.S., Health and Medicine Division, United States, United States Department of Veterans Affairs, Aging genetics, Medical Records Systems, Computerized, Memory, Registries, Twins genetics
- Abstract
The National Academy of Sciences-National Research Council (NAS-NRC) Twin Registry is one of the oldest, national population-based twin registries in the USA. It comprises 15,924 White male twin pairs born in the years 1917-1927 (N = 31.848), both of whom served in the armed forces, chiefly during World War II. This article updates activities in this registry since the most recent report in Twin Research and Human Genetics (Page, 2006). Records-based data include information from enlistment charts and Veterans Administration data linkages. There have been three major epidemiologic questionnaires and an education and earnings survey. Separate data collection efforts with the NAS-NRC registry include the National Heart, Lung, and Blood Institute (NHLBI) subsample, the Duke Twins Study of Memory in Aging and a clinically based study of Parkinson's disease. Progress has been made on consolidating the various data holdings of the NAS-NRC Twin Registry. Data that had been available through the National Academy of Sciences are now freely available through National Archive of Computerized Data on Aging (NACDA).
- Published
- 2019
- Full Text
- View/download PDF
47. Pregnancy-Induced Alterations in NK Cell Phenotype and Function.
- Author
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Le Gars M, Seiler C, Kay AW, Bayless NL, Starosvetsky E, Moore L, Shen-Orr SS, Aziz N, Khatri P, Dekker CL, Swan GE, Davis MM, Holmes S, and Blish CA
- Subjects
- Adult, Cells, Cultured, Cohort Studies, Female, Humans, Pregnancy Complications, Infectious immunology, Pregnancy Complications, Neoplastic immunology, Killer Cells, Natural immunology, Pregnancy immunology
- Abstract
Pregnant women are particularly susceptible to complications of influenza A virus infection, which may result from pregnancy-induced changes in the function of immune cells, including natural killer (NK) cells. To better understand NK cell function during pregnancy, we assessed the ability of the two main subsets of NK cells, CD56
dim , and CD56bright NK cells, to respond to influenza-virus infected cells and tumor cells. During pregnancy, CD56dim and CD56bright NK cells displayed enhanced functional responses to both infected and tumor cells, with increased expression of degranulation markers and elevated frequency of NK cells producing IFN-γ. To better understand the mechanisms driving this enhanced function, we profiled CD56dim and CD56bright NK cells from pregnant and non-pregnant women using mass cytometry. NK cells from pregnant women displayed significantly increased expression of several functional and activation markers such as CD38 on both subsets and NKp46 on CD56dim NK cells. NK cells also displayed diminished expression of the chemokine receptor CXCR3 during pregnancy. Overall, these data demonstrate that functional and phenotypic shifts occur in NK cells during pregnancy that can influence the magnitude of the immune response to both infections and tumors., (Copyright © 2019 Le Gars, Seiler, Kay, Bayless, Starosvetsky, Moore, Shen-Orr, Aziz, Khatri, Dekker, Swan, Davis, Holmes and Blish.)- Published
- 2019
- Full Text
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48. A Brief History of Innovation Based in Science: The Society for Research on Nicotine and Tobacco and Its Journal, Nicotine & Tobacco Research.
- Author
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Swan GE
- Published
- 2019
- Full Text
- View/download PDF
49. A definition of free sugars for the UK.
- Author
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Swan GE, Powell NA, Knowles BL, Bush MT, and Levy LB
- Subjects
- Advisory Committees, Beverages analysis, Dairy Products analysis, Fruit chemistry, Fruit and Vegetable Juices analysis, Humans, Nutrition Surveys, United Kingdom, Vegetables chemistry, Dietary Carbohydrates analysis, Nutrition Policy
- Abstract
Public Health England has set a definition for free sugars in the UK in order to estimate intakes of free sugars in the National Diet and Nutrition Survey. This follows the recommendation from the Scientific Advisory Committee on Nutrition in its 2015 report on Carbohydrates and Health that a definition of free sugars should be adopted. The definition of free sugars includes: all added sugars in any form; all sugars naturally present in fruit and vegetable juices, purées and pastes and similar products in which the structure has been broken down; all sugars in drinks (except for dairy-based drinks); and lactose and galactose added as ingredients. The sugars naturally present in milk and dairy products, fresh and most types of processed fruit and vegetables and in cereal grains, nuts and seeds are excluded from the definition.
- Published
- 2018
- Full Text
- View/download PDF
50. Differences in genetic and environmental variation in adult BMI by sex, age, time period, and region: an individual-based pooled analysis of 40 twin cohorts.
- Author
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Silventoinen K, Jelenkovic A, Sund R, Yokoyama Y, Hur YM, Cozen W, Hwang AE, Mack TM, Honda C, Inui F, Iwatani Y, Watanabe M, Tomizawa R, Pietiläinen KH, Rissanen A, Siribaddana SH, Hotopf M, Sumathipala A, Rijsdijk F, Tan Q, Zhang D, Pang Z, Piirtola M, Aaltonen S, Öncel SY, Aliev F, Rebato E, Hjelmborg JB, Christensen K, Skytthe A, Kyvik KO, Silberg JL, Eaves LJ, Cutler TL, Ordoñana JR, Sánchez-Romera JF, Colodro-Conde L, Song YM, Yang S, Lee K, Franz CE, Kremen WS, Lyons MJ, Busjahn A, Nelson TL, Whitfield KE, Kandler C, Jang KL, Gatz M, Butler DA, Stazi MA, Fagnani C, D'Ippolito C, Duncan GE, Buchwald D, Martin NG, Medland SE, Montgomery GW, Jeong HU, Swan GE, Krasnow R, Magnusson PK, Pedersen NL, Dahl Aslan AK, McAdams TA, Eley TC, Gregory AM, Tynelius P, Baker LA, Tuvblad C, Bayasgalan G, Narandalai D, Spector TD, Mangino M, Lachance G, Burt SA, Klump KL, Harris JR, Brandt I, Nilsen TS, Krueger RF, McGue M, Pahlen S, Corley RP, Huibregtse BM, Bartels M, van Beijsterveldt CE, Willemsen G, Goldberg JH, Rasmussen F, Tarnoki AD, Tarnoki DL, Derom CA, Vlietinck RF, Loos RJ, Hopper JL, Sung J, Maes HH, Turkheimer E, Boomsma DI, Sørensen TI, and Kaprio J
- Subjects
- Adult, Age Factors, Aged, Aged, 80 and over, Australia, Culture, Europe, Female, Humans, Male, Middle Aged, North America, Prevalence, Sex Factors, Twins, Dizygotic genetics, Twins, Monozygotic genetics, Young Adult, Body Mass Index, Body Weight genetics, Environment, Gene-Environment Interaction, Obesity genetics, Quantitative Trait, Heritable
- Abstract
Background: Genes and the environment contribute to variation in adult body mass index [BMI (in kg/m
2 )], but factors modifying these variance components are poorly understood. Objective: We analyzed genetic and environmental variation in BMI between men and women from young adulthood to old age from the 1940s to the 2000s and between cultural-geographic regions representing high (North America and Australia), moderate (Europe), and low (East Asia) prevalence of obesity. Design: We used genetic structural equation modeling to analyze BMI in twins ≥20 y of age from 40 cohorts representing 20 countries (140,379 complete twin pairs). Results: The heritability of BMI decreased from 0.77 (95% CI: 0.77, 0.78) and 0.75 (95% CI: 0.74, 0.75) in men and women 20-29 y of age to 0.57 (95% CI: 0.54, 0.60) and 0.59 (95% CI: 0.53, 0.65) in men 70-79 y of age and women 80 y of age, respectively. The relative influence of unique environmental factors correspondingly increased. Differences in the sets of genes affecting BMI in men and women increased from 20-29 to 60-69 y of age. Mean BMI and variances in BMI increased from the 1940s to the 2000s and were greatest in North America and Australia, followed by Europe and East Asia. However, heritability estimates were largely similar over measurement years and between regions. There was no evidence of environmental factors shared by co-twins affecting BMI. Conclusions: The heritability of BMI decreased and differences in the sets of genes affecting BMI in men and women increased from young adulthood to old age. The heritability of BMI was largely similar between cultural-geographic regions and measurement years, despite large differences in mean BMI and variances in BMI. Our results show a strong influence of genetic factors on BMI, especially in early adulthood, regardless of the obesity level in the population., (© 2017 American Society for Nutrition.)- Published
- 2017
- Full Text
- View/download PDF
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