Family matters: Happiness in nuclear families and twins
Behavior Genetics, ISSN: 0001-8244, Vol: 40, Issue: 5, Page: 577-590
2010
- 27Citations
- 53Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations27
- Citation Indexes27
- CrossRef27
- 27
- Captures53
- Readers53
- 53
Article Description
Biometric studies have shown that happiness is strongly affected by genes. The findings are mainly based on twin data, however, and the full validity of the results has been debated. To overcome some limitations in classical twin research, we examined aetiological sources of subjective well-being (SWB), using two independent population-based samples, one including nuclear families (N = 54,540) and one including twins (N = 6,620). Biometric modelling using R was conducted to test for a data structure implying either non-additive genetic effects or higher environmental co-twin correlation in MZ than DZ pairs (violation of the EEA). We also estimated non-random mating, cultural transmission and shared environments specific for regular siblings and twins. Two sets of nested models were fitted and compared. The best explanatory model shows that family matters for happiness predominantly due to quantitative sex-specific genetic effects, a moderate spousal correlation and a shared twin environment. Upper limits for broad-sense heritability were estimated to be 0.33 (females) and 0.36 (males). Our study constitutes the most elaborate biometric study of SWB to date and illustrates the utility of including responses from multiple types of relatives in quantitative genetic analyses. © 2010 Springer Science+Business Media, LLC.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=77956185188&origin=inward; http://dx.doi.org/10.1007/s10519-010-9365-x; http://www.ncbi.nlm.nih.gov/pubmed/20440640; http://link.springer.com/10.1007/s10519-010-9365-x; http://www.springerlink.com/index/10.1007/s10519-010-9365-x; http://www.springerlink.com/index/pdf/10.1007/s10519-010-9365-x; https://dx.doi.org/10.1007/s10519-010-9365-x; https://link.springer.com/article/10.1007/s10519-010-9365-x
Springer Science and Business Media LLC
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