Changing genetic architecture of body mass index from infancy to early adulthood: an individual based pooled analysis of 25 twin cohorts.
Changing genetic architecture of body mass index from infancy to early adulthood: an individual based pooled analysis of 25 twin cohorts.
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DOI：
10.1038/s41366-022-01202-3
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发表时间：
2022-10
影响因子：
4.9
通讯作者：
Kaprio, Jaakko
中科院分区：
文献类型：
--
作者：
Silventoinen, Karri;Li, Weilong;Jelenkovic, Aline;Sund, Reijo;Yokoyama, Yoshie;Aaltonen, Sari;Piirtola, Maarit;Sugawara, Masumi;Tanaka, Mami;Matsumoto, Satoko;Baker, Laura A.;Tuvblad, Catherine;Tynelius, Per;Rasmussen, Finn;Craig, Jeffrey M.;Saffery, Richard;Willemsen, Gonneke;Bartels, Meike;van Beijsterveldt, Catharina E. M.;Martin, Nicholas G.;Medland, Sarah E.;Montgomery, Grant W.;Lichtenstein, Paul;Krueger, Robert F.;McGue, Matt;Pahlen, Shandell;Christensen, Kaare;Skytthe, Axel;Kyvik, Kirsten O.;Saudino, Kimberly J.;Dubois, Lise;Boivin, Michel;Brendgen, Mara;Dionne, Ginette;Vitaro, Frank;Ullemar, Vilhelmina;Almqvist, Catarina;Magnusson, Patrik K. E.;Corley, Robin P.;Huibregtse, Brooke M.;Knafo-Noam, Ariel;Mankuta, David;Abramson, Lior;Haworth, Claire M. A.;Plomin, Robert;Bjerregaard-Andersen, Morten;Beck-Nielsen, Henning;Sodemann, Morten;Duncan, Glen E.;Buchwald, Dedra;Burt, S. Alexandra;Klump, Kelly L.;Llewellyn, Clare H.;Fisher, Abigail;Boomsma, Dorret, I;Sorensen, Thorkild I. A.;Kaprio, Jaakko
体重指数（BMI）在儿童期和青少年期表现出很强的连续性，儿童期高BMI是成人肥胖的最强预测因子。遗传因素在很大程度上促成了这种连续性，但人们仍然不太清楚它们在童年和青春期的作用如何变化。因此，我们使用遗传双生子设计来估计从婴儿期到成年期BMI的遗传相关性，并将其与身高的遗传相关性进行比较。我们汇总了来自25个纵向双胞胎队列的个体水平数据，其中包括38，530对完整双胞胎对，并有283，766个纵向身高和体重测量值。使用Cholesky分解分析数据，提供1至19岁所有年龄组合之间BMI和身高的遗传和环境相关性。BMI与身高的遗传相关强于性状相关。对于BMI，我们发现遗传相关性随着评估之间年龄的增加而降低，这一趋势在儿童早期到中期尤为明显。相比之下，对于身高，所有年龄段之间的遗传相关性都很强。双胞胎共享的环境因素之间的年龄相关性被发现在儿童早期的BMI，但完全消失的中期儿童。对于身高，从婴儿期到成年期，共享的环境相关性一直存在。我们的研究结果表明，影响BMI的基因在儿童期和青春期发生变化，导致年龄与年龄的遗传相关性降低。这种变化在儿童早期到中期尤其明显，表明新的遗传因素开始影响儿童中期的BMI。确定这些遗传因素的介导途径可以为干预措施提供可能性，特别是对于那些具有高度成人肥胖遗传易感性的儿童。
Body mass index (BMI) shows strong continuity over childhood and adolescence and high childhood BMI is the strongest predictor of adult obesity. Genetic factors strongly contribute to this continuity, but it is still poorly known how their contribution changes over childhood and adolescence. Thus, we used the genetic twin design to estimate the genetic correlations of BMI from infancy to adulthood and compared them to the genetic correlations of height. We pooled individual level data from 25 longitudinal twin cohorts including 38,530 complete twin pairs and having 283,766 longitudinal height and weight measures. The data were analyzed using Cholesky decomposition offering genetic and environmental correlations of BMI and height between all age combinations from 1 to 19 years of age. The genetic correlations of BMI and height were stronger than the trait correlations. For BMI, we found that genetic correlations decreased as the age between the assessments increased, a trend that was especially visible from early to middle childhood. In contrast, for height, the genetic correlations were strong between all ages. Age-to-age correlations between environmental factors shared by co-twins were found for BMI in early childhood but disappeared altogether by middle childhood. For height, shared environmental correlations persisted from infancy to adulthood. Our results suggest that the genes affecting BMI change over childhood and adolescence leading to decreasing age-to-age genetic correlations. This change is especially visible from early to middle childhood indicating that new genetic factors start to affect BMI in middle childhood. Identifying mediating pathways of these genetic factors can open possibilities for interventions, especially for those children with high genetic predisposition to adult obesity.
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DOI：
10.1017/thg.2015.57
发表时间：
2015-10
期刊：
Twin research and human genetics : the official journal of the International Society for Twin Studies
影响因子：
--
作者：
Jelenkovic A;Yokoyama Y;Sund R;Honda C;Bogl LH;Aaltonen S;Ji F;Ning F;Pang Z;Ordoñana JR;Sánchez-Romera JF;Colodro-Conde L;Burt SA;Klump KL;Medland SE;Montgomery GW;Kandler C;McAdams TA;Eley TC;Gregory AM;Saudino KJ;Dubois L;Boivin M;Tarnoki AD;Tarnoki DL;Haworth CM;Plomin R;Öncel SY;Aliev F;Stazi MA;Fagnani C;D'Ippolito C;Craig JM;Saffery R;Siribaddana SH;Hotopf M;Sumathipala A;Rijsdijk F;Spector T;Mangino M;Lachance G;Gatz M;Butler DA;Bayasgalan G;Narandalai D;Freitas DL;Maia JA;Harden KP;Tucker-Drob EM;Kim B;Chong Y;Hong C;Shin HJ;Christensen K;Skytthe A;Kyvik KO;Derom CA;Vlietinck RF;Loos RJ;Cozen W;Hwang AE;Mack TM;He M;Ding X;Chang B;Silberg JL;Eaves LJ;Maes HH;Cutler TL;Hopper JL;Aujard K;Magnusson PK;Pedersen NL;Aslan AK;Song YM;Yang S;Lee K;Baker LA;Tuvblad C;Bjerregaard-Andersen M;Beck-Nielsen H;Sodemann M;Heikkilä K;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;Duncan GE;Buchwald D;Corley RP;Huibregtse BM;Nelson TL;Whitfield KE;Franz CE;Kremen WS;Lyons MJ;Ooki S;Brandt I;Nilsen TS;Inui F;Watanabe M;Bartels M;van Beijsterveldt TC;Wardle J;Llewellyn CH;Fisher A;Rebato E;Martin NG;Iwatani Y;Hayakawa K;Sung J;Harris JR;Willemsen G;Busjahn A;Goldberg JH;Rasmussen F;Hur YM;Boomsma DI;Sørensen TI;Kaprio J;Silventoinen K
通讯作者：
Silventoinen K
影响因子：
--
作者：
Aaltonen S;Kujala UM;Kaprio J
通讯作者：
Kaprio J
影响因子：
158.5
作者：
Bjerregaard, Lise G.;Jensen, Britt W.;Baker, Jennifer L.
通讯作者：
Baker, Jennifer L.
影响因子：
6.9
作者：
Bayer, Otmar;Krueger, Helia;Toschke, Andre M.
通讯作者：
Toschke, Andre M.
影响因子：
158.5
作者：
Baker, Jennifer L.;Olsen, Lina W.;Sorensen, Thorkild I. A.
通讯作者：
Sorensen, Thorkild I. A.