Repository logo
 
Loading...
Profile Picture

Search Results

Now showing 1 - 3 of 3
  • The CODATwins Project: The Cohort Description of Collaborative Project of Development of Anthropometrical Measures in Twins to Study Macro-Environmental Variation in Genetic and Environmental Effects on Anthropometric Traits
    Publication . Silventoinen, Karri; Jelenkovic, Aline; Sund, Reijo; Honda, Chika; Aaltonen, Sari; Yokoyama, Yoshie; Tarnoki, Adam D.; Tarnoki, David L.; Ning, Feng; Ji, Fuling; Pang, Zengchang; Kremen, William S.; Lyons, Michael J.; Ooki, Syuichi; Brandt, Ingunn; Nilsen, Thomas Sevenius; Inui, Fujio; Watanabe, Mikio; Bartels, Meike; van Beijsterveldt, Toos C. E. M.; Wardle, Jane; Ordoñana, Juan R.; Llewellyn, Clare H.; Fisher, Abigail; Rebato, Esther; Martin, Nicholas G.; Iwatani, Yoshinori; Hayakawa, Kazuo; Rasmussen, Finn; Sung, Joohon; Harris, Jennifer R.; Willemsen, Gonneke; Sánchez-Romera, Juan F.; Busjahn, Andreas; Goldberg, Jack H.; Boomsma, Dorret I.; Hur, Yoon-Mi; Sørensen, Thorkild I. A.; Kaprio, Jaakko; Colodro-Conde, Lucia; Burt, S. Alexandra; Klump, Kelly L.; Medland, Sarah E.; Montgomery, Grant W.; Kandler, Christian; McAdams, Tom A.; Eley, Thalia C.; Gregory, Alice M.; Saudino, Kimberly J.; Dubois, Lise; Boivin, Michel; Haworth, Claire M. A.; Plomin, Robert; Öncel, Sevgi Y.; Aliev, Fazil; Stazi, Maria A.; Fagnani, Corrado; D’Ippolito, Cristina; Craig, Jeffrey M.; Saffery, Richard; Siribaddana, Sisira H.; Hotopf, Matthew; Sumathipala, Athula; Spector, Timothy; Mangino, Massimo; Lachance, Genevieve; Gatz, Margaret; Butler, David A.; Bayasgalan, Gombojav; Narandalai, Danshiitsoodol; Freitas, Duarte L.; Maia, José Antonio; Harden, K. Paige; Tucker-Drob, Elliot M.; Christensen, Kaare; Skytthe, Axel; Kyvik, Kirsten O.; Hong, Changhee; Chong, Youngsook; Derom, Catherine A.; Vlietinck, Robert F.; Loos, Ruth J. F.; Cozen, Wendy; Hwang, Amie E.; Mack, Thomas M.; He, Mingguang; Ding, Xiaohu; Chang, Billy; Silberg, Judy L.; Eaves, Lindon J.; Maes, Hermine H.; Cutler, Tessa L.; Hopper, John L.; Aujard, Kelly; Magnusson, Patrik K. E.; Pedersen, Nancy L.; Aslan, Anna K. Dahl; Song, Yun-Mi; Yang, Sarah; Lee, Kayoung; Baker, Laura A.; Tuvblad, Catherine; Bjerregaard-Andersen, Morten; Beck-Nielsen, Henning; Sodemann, Morten; Heikkilä, Kauko; Tan, Qihua; Zhang, Dongfeng; Swan, Gary E.; Krasnow, Ruth; Jang, Kerry L.; Knafo-Noam, Ariel; Mankuta, David; Abramson, Lior; Lichtenstein, Paul; Krueger, Robert F.; McGue, Matt; Pahlen, Shandell; Tynelius, Per; Duncan, Glen E.; Buchwald, Dedra; Corley, Robin P.; Huibregtse, Brooke M.; Nelson, Tracy L.; Whitfield, Keith E.; Franz, Carol E.
    For over 100 years, the genetics of human anthropometric traits has attracted scientific interest. In particular, height and body mass index (BMI, calculated as kg/m2) have been under intensive genetic research. However, it is still largely unknown whether and how heritability estimates vary between human populations. Opportunities to address this question have increased recently because of the establishment of many new twin cohorts and the increasing accumulation of data in established twin cohorts. We started a new research project to analyze systematically (1) the variation of heritability estimates of height, BMI and their trajectories over the life course between birth cohorts, ethnicities and countries, and (2) to study the effects of birth-related factors, education and smoking on these anthropometric traits and whether these effects vary between twin cohorts. We identified 67 twin projects, including both monozygotic (MZ) and dizygotic (DZ) twins, using various sources. We asked for individual level data on height and weight including repeated measurements, birth related traits, background variables, education and smoking. By the end of 2014, 48 projects participated. Together, we have 893,458 height and weight measures (52% females) from 434,723 twin individuals, including 201,192 complete twin pairs (40% monozygotic, 40% same-sex dizygotic and 20% opposite-sex dizygotic) representing 22 countries. This project demonstrates that large-scale international twin studies are feasible and can promote the use of existing data for novel research purposes.
  • Parental education and genetics of BMI from infancy to old age: a pooled analysis of 29 twin cohorts
    Publication . Silventoinen, Karri; Jelenkovic, Aline; Latvala, Antti; Yokoyama, Yoshie; Sund, Reijo; Sugawara, Masumi; Tanaka, Mami; Matsumoto, Satoko; Aaltonen, Sari; Piirtola, Maarit; Freitas, Duarte L.; Maia, José A.; Öncel, Sevgi Y.; Aliev, Fazil; Ji, Fuling; Ning, Feng; Pang, Zengchang; Rebato, Esther; Saudino, Kimberly J.; Cutler, Tessa L.; Hopper, John L.; Ullemar, Vilhelmina; Almqvist, Catarina; Magnusson, Patrik K. E.; Cozen, Wendy; Hwang, Amie E.; Mack, Thomas M.; Willemsen, Gonneke; Bartels, Meike; van Beijsterveldt, Catharina E. M.; Nelson, Tracy L.; Whitfield, Keith E.; Sung, Joohon; Kim, Jina; Lee, Jooyeon; Lee, Sooji; Llewellyn, Clare H.; Fisher, Abigail; Medda, Emanuela; Nisticò, Lorenza; Toccaceli, Virgilia; Baker, Laura A.; Tuvblad, Catherine; Corley, Robin P.; Huibregtse, Brooke M.; Derom, Catherine A.; Vlietinck, Robert F.; Loos, Ruth J. F.; Knafo‐Noam, Ariel; Mankuta, David; Abramson, Lior; Burt, S. Alexandra; Klump, Kelly L.; Silberg, Judy L.; Maes, Hermine H.; Krueger, Robert F.; McGue, Matt; Pahlen, Shandell; Gatz, Margaret; Butler, David A.; Harris, Jennifer R.; Nilsen, Thomas S.; Harden, K. Paige; Tucker‐Drob, Elliot M.; Franz, Carol E.; Kremen, William S.; Lyons, Michael J.; Lichtenstein, Paul; Jeong, Hoe‐Uk; Hur, Yoon‐Mi; Boomsma, Dorret I.; Sørensen, Thorkild I. A.; Kaprio, Jaakko
    Objective: The objective of this study was to analyze how parental education modifies the genetic and environmental variances of BMI from infancy to old age in three geographic-cultural regions. Methods: A pooled sample of 29 cohorts including 143,499 twin individuals with information on parental education and BMI from age 1 to 79 years (299,201 BMI measures) was analyzed by genetic twin modeling. Results: Until 4 years of age, parental education was not consistently associated with BMI. Thereafter, higher parental education level was associated with lower BMI in males and females. Total and additive genetic variances of BMI were smaller in the offspring of highly educated parents than in those whose parents had low education levels. Especially in North American and Australian children, environmental factors shared by co-twins also contributed to the higher BMI variation in the low education level category. In Europe and East Asia, the associations of parental education with mean BMI and BMI variance were weaker than in North America and Australia. Conclusions: Lower parental education level is associated with higher mean BMI and larger genetic vari ance of BMI after early childhood, especially in the obesogenic macro-environment. The interplay among genetic predisposition, childhood social environment, and macro-social context is important for socioeco nomic differences in BMI
  • 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) study
    Publication . Silventoinen, Karri; Jelenkovic, Aline; Sund, Reijo; Hur, Yoon-Mi; Yokoyama, Yoshie; Honda, Chika; Hjelmborg, Jacob vB; Möller, Sören; Ooki, Syuichi; Aaltonen, Sari; Ji, Fuling; Saudino, Kimberly J; Jang, Kerry L; Cozen, Wendy; Hwang, Amie E; Mack, Thomas M.; Gao, Wenjing; Yu, Canqing; Li, Liming; Corley, Robin P.; Huibregtse, Brooke M; Christensen, Kaare; Skytthe, Axel; Kyvik, Kirsten O; Derom, Catherine A.; Vlietinck, Robert F.; Loos, Ruth J. F.; Heikkilä, Kauko; Wardle, Jane; Llewellyn, Clare H.; Fisher, Abigail; McAdams, Tom A; Eley, Thalia C.; Gregory, Alice M; He, Mingguang; Ding, Xiaohu; Bjerregaard-Andersen, Morten; Beck-Nielsen, Henning; Sodemann, Morten; Tarnoki, Adam D.; Tarnoki, David L.; Stazi, Maria A; Fagnani, Corrado; D’Ippolito, Cristina; Knafo-Noam, Ariel; Mankuta, David; Abramson, Lior; Burt, S. Alexandra; Klump, Kelly L.; Silberg, Judy L; Eaves, Lindon J.; Maes, Hermine H.; Krueger, Robert F; McGue, Matt; Pahlen, Shandell; Gatz, Margaret; Butler, David A.; Bartels, Meike; van Beijsterveldt, Toos CEM; Craig, Jeffrey M.; Saffery, Richard; Freitas, Duarte L.; Maia, José Antonio; Dubois, Lise; Boivin, Michel; Brendgen, Mara; Dionne, Ginette; Vitaro, Frank; Martin, Nicholas G; Medland, Sarah E; Montgomery, Grant W; Chong, Youngsook; Swan, Gary E.; Krasnow, Ruth; Magnusson, Patrik K. E.; Pedersen, Nancy L; Tynelius, Per; Lichtenstein, Paul; Haworth, Claire MA; Plomin, Robert; Bayasgalan, Gombojav; Narandalai, Danshiitsoodol; Harden, K Paige; Tucker-Drob, Elliot M.; Öncel, Sevgi Y; Aliev, Fazil; Spector, Timothy; Mangino, Massimo; Lachance, Genevieve; Baker, Laura A.; Tuvblad, Catherine; Duncan, Glen E.; Buchwald, Dedra; Willemsen, Gonneke; Rasmussen, Finn; Goldberg, Jack H; Sørensen, Thorkild IA; Boomsma, Dorret I.; Kaprio, Jaakko; Ning, Feng; Pang, Zengchang; Rebato, Esther; Busjahn, Andreas; Kandler, Christian
    Background: Both genetic and environmental factors are known to affect body mass index (BMI), but detailed understanding of how their effects differ during childhood and adolescence is lacking. Objectives: We analyzed the genetic and environmental contribu tions to BMI variation from infancy to early adulthood and the ways they differ by sex and geographic regions representing high (North America and Australia), moderate (Europe), and low levels (East Asia) of obesogenic environments. Design: Data were available for 87,782 complete twin pairs from 0.5 to 19.5 y of age from 45 cohorts. Analyses were based on 383,092 BMI measurements. Variation in BMI was decomposed into genetic and en vironmental components through genetic structural equation modeling. Results: The variance of BMI increased from 5 y of age along with increasing mean BMI. The proportion of BMI variation explained by additive genetic factors was lowest at 4 y of age in boys (a2 = 0.42) and girls (a2 = 0.41) and then generally increased to 0.75 in both sexes at 19 y of age. This was because of a stronger influence of environmental factors shared by co-twins in midchildhood. After 15 y of age, the effect of shared environment was not observed. The sex-specific expression of genetic factors was seen in infancy but was most prominent at 13 y of age and older. The variance of BMI was highest in North America and Australia and lowest in East Asia, but the relative proportion of genetic variation to total variation remained roughly similar across different regions. Conclusions: Environmental factors shared by co-twins affect BMI in childhood, but little evidence for their contribution was found in late adolescence. Our results suggest that genetic factors play a ma jor role in the variation of BMI in adolescence among populations of different ethnicities exposed to different environmental factors related to obesity.