Cohort profile: Genetic data in the German Socio-Economic Panel Innovation Sample (SOEP-G).
Cohort profile: Genetic data in the German Socio-Economic Panel Innovation Sample (SOEP-G).
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DOI：
10.1371/journal.pone.0294896
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发表时间：
2023
期刊：
影响因子：
3.7
通讯作者：
中科院分区：
文献类型：
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作者：
德国社会经济小组(SOEP)通过提供具有代表性的德国私人家庭受访者年度纵向数据，为全球研究界提供服务。数据集提供了一个有价值的生命历程全景图，包括生活条件、社会经济地位、家庭关系、个性特征、价值观、偏好、健康和幸福。为了进一步扩大研究机会，我们通过收集2598名参与者的遗传数据，扩展了SOEP创新样本(SOEP-IS)，产生了第一个基于代表性人群样本的德国基因分型数据集(SOEP-G)。样本包括107对全同胞对、501对亲子对和152对与亲子对重叠的三联体。利用来自强大的全基因组关联研究的结果，我们创建了一个包含SOEP-G样本中的66个多基因指数(PGI)的储存库。我们发现，身高、体重指数和教育程度的PPI分别捕获了表型中22个∼24%、12个∼13%和9%的变异。使用身高和BMI的PGI，我们证明，在最近出生的队列中，平均身高的显著增加和平均BMI的下降不能仅仅归因于德国人口内部的遗传变化或年龄影响。这些发现表明，环境条件的改善在推动这些变化方面发挥了重要作用。此外，我们还发现，受教育程度和数学课的得分越高，自我评估的健康程度越高，这说明了遗传、认知、行为、社会经济地位和健康之间的复杂关系。总之，我们创建的SOEP-G数据和PGI库为研究个体差异、不平等、生命发展、健康以及遗传易感性和环境之间的相互作用提供了宝贵的资源。
The German Socio-Economic Panel (SOEP) serves a global research community by providing representative annual longitudinal data of respondents living in private households in Germany. The dataset offers a valuable life course panorama, encompassing living conditions, socioeconomic status, familial connections, personality traits, values, preferences, health, and well-being. To amplify research opportunities further, we have extended the SOEP Innovation Sample (SOEP-IS) by collecting genetic data from 2,598 participants, yielding the first genotyped dataset for Germany based on a representative population sample (SOEP-G). The sample includes 107 full-sibling pairs, 501 parent-offspring pairs, and 152 triads, which overlap with the parent-offspring pairs. Leveraging the results from well-powered genome-wide association studies, we created a repository comprising 66 polygenic indices (PGIs) in the SOEP-G sample. We show that the PGIs for height, BMI, and educational attainment capture 22∼24%, 12∼13%, and 9% of the variance in the respective phenotypes. Using the PGIs for height and BMI, we demonstrate that the considerable increase in average height and the decrease in average BMI in more recent birth cohorts cannot be attributed to genetic shifts within the German population or to age effects alone. These findings suggest an important role of improved environmental conditions in driving these changes. Furthermore, we show that higher values in the PGIs for educational attainment and the highest math class are associated with better self-rated health, illustrating complex relationships between genetics, cognition, behavior, socio-economic status, and health. In summary, the SOEP-G data and the PGI repository we created provide a valuable resource for studying individual differences, inequalities, life-course development, health, and interactions between genetic predispositions and the environment.
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影响因子：
5.6
作者：
Benjamin DJ;Cesarini D;Chabris CF;Glaeser EL;Laibson DI;Guðnason V;Harris TB;Launer LJ;Purcell S;Smith AV;Johannesson M;Magnusson PK;Beauchamp JP;Christakis NA;Atwood CS;Hebert B;Freese J;Hauser RM;Hauser TS;Grankvist A;Hultman CM;Lichtenstein P
通讯作者：
Lichtenstein P
影响因子：
16.6
作者：
Day FR;Bulik-Sullivan B;Hinds DA;Finucane HK;Murabito JM;Tung JY;Ong KK;Perry JRB
通讯作者：
Perry JRB
影响因子：
11
作者：
通讯作者：
--
影响因子：
7.7
作者：
Domingue, Benjamin W.;Belsky, Daniel W.;Boardman, Jason D.
通讯作者：
Boardman, Jason D.
影响因子：
1.3
作者：
Goebel, Jan;Grabka, Markus M.;Schupp, Jurgen
通讯作者：
Schupp, Jurgen