Silventoinen K, Jelenkovic A, Yokoyama Y, Sund R, Sugawara M, Tanaka M, Matsumoto S, Bogl L H, Freitas D L, Maia J A, Hjelmborg J V B, Aaltonen S, Piirtola M, Latvala A, Calais-Ferreira L, Oliveira V C, Ferreira P H, Ji F, Ning F, Pang Z, Ordoñana J R, Sánchez-Romera J F, Colodro-Conde L, Burt S A, Klump K L, Martin N G, Medland S E, Montgomery G W, Kandler C, McAdams T A, Eley T C, Gregory A M, Saudino K J, Dubois L, Boivin M, Brendgen M, Dionne G, Vitaro F, Tarnoki A D, Tarnoki D L, Haworth C M A, Plomin R, Öncel S Y, Aliev F, Medda E, Nisticò L, Toccaceli V, Craig J M, Saffery R, Siribaddana S H, Hotopf M, Sumathipala A, Rijsdijk F, Jeong H-U, Spector T, Mangino M, Lachance G, Gatz M, Butler D A, Gao W, Yu C, Li L, Bayasgalan G, Narandalai D, Harden K P, Tucker-Drob E M, Christensen K, Skytthe A, Kyvik K O, Derom C A, Vlietinck R F, Loos R J F, Cozen W, Hwang A E, Mack T M, He M, Ding X, Silberg J L, Maes H H, Cutler T L, Hopper J L, Magnusson P K E, Pedersen N L, Dahl Aslan A K, Baker L A, Tuvblad C, Bjerregaard-Andersen M, Beck-Nielsen H, Sodemann M, Ullemar V, Almqvist C, Tan Q, Zhang D, Swan G E, Krasnow R, Jang K L, Knafo-Noam A, Mankuta D, Abramson L, Lichtenstein P, Krueger R F, McGue M, Pahlen S, Tynelius P, Rasmussen F, Duncan G E, Buchwald D, Corley R P, Huibregtse B M, Nelson T L, Whitfield K E, Franz C E, Kremen W S, Lyons M J, Ooki S, Brandt I, Nilsen T S, Harris J R, Sung J, Park H A, Lee J, Lee S J, Willemsen G, Bartels M, van Beijsterveldt C E M, Llewellyn C H, Fisher A, Rebato E, Busjahn A, Tomizawa R, Inui F, Watanabe M, Honda C, Sakai N, Hur Y-M, Sørensen T I A, Boomsma D I, Kaprio J
Department of Social Research, Department University of Helsinki, Helsinki, Finland.
Center for Twin Research, Osaka University Graduate School of Medicine, Osaka, Japan.
Twin Res Hum Genet. 2019 Dec;22(6):800-808. doi: 10.1017/thg.2019.35. Epub 2019 Jul 31.
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.
双胞胎人体测量学指标开发合作项目（CODATwins项目）是一项大型国际合作项目，旨在分析来自不同环境的多个队列中双胞胎的个体水平表型数据。其主要目标是研究影响身高、体重指数（BMI，千克/平方米）和出生时体型的遗传和环境变异的因素，并额外探讨其他研究问题，如出生体型的长期后果。该项目始于2013年，对世界上所有拥有双胞胎身高和体重测量数据以及合子性信息的双胞胎项目开放。迄今为止，来自24个国家的54个双胞胎项目提供了个体水平数据。CODATwins数据库包含489,981名双胞胎个体（228,635对完整双胞胎）。由于许多双胞胎队列收集了纵向数据，因此共有1,049,785条身高和体重观测数据。对于许多队列，我们还拥有出生体重和身长、自身吸烟行为以及自身或父母教育程度的信息。我们发现，身高和BMI的遗传度估计值从婴儿期到老年期有系统性变化。值得注意的是，在身高和BMI方面，跨文化地理区域、测量时间和出生队列的遗传度估计值仅存在微小差异。除了遗传流行病学研究外，我们还研究了身高和BMI与教育程度、出生体重和吸烟状况之间的关联。家庭内部分析考察了同性和异性双卵双胞胎在出生体型和后期发育方面的差异。CODATwins项目证明了国际合作在解决需要大样本量的基因-暴露相互作用以及应对不同时间、地理区域和社会经济地位的不同暴露影响方面的可行性和价值。
