Lee, James J and Wedow, Robbee and Okbay, Aysu and Kong, Edward and Maghzian, Omeed and Zacher, Meghan and Nguyen-Viet, Tuan Anh and Bowers, Peter and Sidorenko, Julia and Karlsson Linnér, Richard and Fontana, Mark Alan and Kundu, Tushar and Lee, Chanwook and Li, Hui and Li, Ruoxi and Royer, Rebecca and Timshel, Pascal N and Walters, Raymond K and Willoughby, Emily A and Yengo, Loïc and Alver, Maris and Bao, Yanchun and Clark, David W and Day, Felix R and Furlotte, Nicholas A and Joshi, Peter K and Kemper, Kathryn E and Kleinman, Aaron and Langenberg, Claudia and Mägi, Reedik and Trampush, Joey W and Verma, Shefali Setia and Wu, Yang and Lam, Max and Zhao, Jing Hua and Zheng, Zhili and Boardman, Jason D and Campbell, Harry and Freese, Jeremy and Harris, Kathleen Mullan and Hayward, Caroline and Herd, Pamela and Kumari, Meena and Lencz, Todd and Luan, Jian an and Malhotra, Anil K and Metspalu, Andres and Milani, Lili and Ong, Ken K and Perry, John RB and Porteous, David J and Ritchie, Marylyn D and Smart, Melissa C and Smith, Blair H and Tung, Joyce Y and Wareham, Nicholas J and Wilson, James F and Beauchamp, Jonathan P and Conley, Dalton C and Esko, Tõnu and Lehrer, Steven F and Magnusson, Patrik KE and Oskarsson, Sven and Pers, Tune H and Robinson, Matthew R and Thom, Kevin and Watson, Chelsea and Chabris, Christopher F and Meyer, Michelle N and Laibson, David I and Yang, Jian and Johannesson, Magnus and Koellinger, Philipp D and Turley, Patrick and Visscher, Peter M and Benjamin, Daniel J and Cesarini, David (2018) Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics, 50 (8). pp. 1112-1121. DOI https://doi.org/10.1038/s41588-018-0147-3
Lee, James J and Wedow, Robbee and Okbay, Aysu and Kong, Edward and Maghzian, Omeed and Zacher, Meghan and Nguyen-Viet, Tuan Anh and Bowers, Peter and Sidorenko, Julia and Karlsson Linnér, Richard and Fontana, Mark Alan and Kundu, Tushar and Lee, Chanwook and Li, Hui and Li, Ruoxi and Royer, Rebecca and Timshel, Pascal N and Walters, Raymond K and Willoughby, Emily A and Yengo, Loïc and Alver, Maris and Bao, Yanchun and Clark, David W and Day, Felix R and Furlotte, Nicholas A and Joshi, Peter K and Kemper, Kathryn E and Kleinman, Aaron and Langenberg, Claudia and Mägi, Reedik and Trampush, Joey W and Verma, Shefali Setia and Wu, Yang and Lam, Max and Zhao, Jing Hua and Zheng, Zhili and Boardman, Jason D and Campbell, Harry and Freese, Jeremy and Harris, Kathleen Mullan and Hayward, Caroline and Herd, Pamela and Kumari, Meena and Lencz, Todd and Luan, Jian an and Malhotra, Anil K and Metspalu, Andres and Milani, Lili and Ong, Ken K and Perry, John RB and Porteous, David J and Ritchie, Marylyn D and Smart, Melissa C and Smith, Blair H and Tung, Joyce Y and Wareham, Nicholas J and Wilson, James F and Beauchamp, Jonathan P and Conley, Dalton C and Esko, Tõnu and Lehrer, Steven F and Magnusson, Patrik KE and Oskarsson, Sven and Pers, Tune H and Robinson, Matthew R and Thom, Kevin and Watson, Chelsea and Chabris, Christopher F and Meyer, Michelle N and Laibson, David I and Yang, Jian and Johannesson, Magnus and Koellinger, Philipp D and Turley, Patrick and Visscher, Peter M and Benjamin, Daniel J and Cesarini, David (2018) Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics, 50 (8). pp. 1112-1121. DOI https://doi.org/10.1038/s41588-018-0147-3
Lee, James J and Wedow, Robbee and Okbay, Aysu and Kong, Edward and Maghzian, Omeed and Zacher, Meghan and Nguyen-Viet, Tuan Anh and Bowers, Peter and Sidorenko, Julia and Karlsson Linnér, Richard and Fontana, Mark Alan and Kundu, Tushar and Lee, Chanwook and Li, Hui and Li, Ruoxi and Royer, Rebecca and Timshel, Pascal N and Walters, Raymond K and Willoughby, Emily A and Yengo, Loïc and Alver, Maris and Bao, Yanchun and Clark, David W and Day, Felix R and Furlotte, Nicholas A and Joshi, Peter K and Kemper, Kathryn E and Kleinman, Aaron and Langenberg, Claudia and Mägi, Reedik and Trampush, Joey W and Verma, Shefali Setia and Wu, Yang and Lam, Max and Zhao, Jing Hua and Zheng, Zhili and Boardman, Jason D and Campbell, Harry and Freese, Jeremy and Harris, Kathleen Mullan and Hayward, Caroline and Herd, Pamela and Kumari, Meena and Lencz, Todd and Luan, Jian an and Malhotra, Anil K and Metspalu, Andres and Milani, Lili and Ong, Ken K and Perry, John RB and Porteous, David J and Ritchie, Marylyn D and Smart, Melissa C and Smith, Blair H and Tung, Joyce Y and Wareham, Nicholas J and Wilson, James F and Beauchamp, Jonathan P and Conley, Dalton C and Esko, Tõnu and Lehrer, Steven F and Magnusson, Patrik KE and Oskarsson, Sven and Pers, Tune H and Robinson, Matthew R and Thom, Kevin and Watson, Chelsea and Chabris, Christopher F and Meyer, Michelle N and Laibson, David I and Yang, Jian and Johannesson, Magnus and Koellinger, Philipp D and Turley, Patrick and Visscher, Peter M and Benjamin, Daniel J and Cesarini, David (2018) Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics, 50 (8). pp. 1112-1121. DOI https://doi.org/10.1038/s41588-018-0147-3
Abstract
Here we conducted a large-scale genetic association analysis of educational attainment in a sample of approximately 1.1 million individuals and identify 1,271 independent genome-wide-significant SNPs. For the SNPs taken together, we found evidence of heterogeneous effects across environments. The SNPs implicate genes involved in brain-development processes and neuron-to-neuron communication. In a separate analysis of the X chromosome, we identify 10 independent genome-wide-significant SNPs and estimate a SNP heritability of around 0.3% in both men and women, consistent with partial dosage compensation. A joint (multi-phenotype) analysis of educational attainment and three related cognitive phenotypes generates polygenic scores that explain 11–13% of the variance in educational attainment and 7–10% of the variance in cognitive performance. This prediction accuracy substantially increases the utility of polygenic scores as tools in research.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | 23andMe Research Team; COGENT (Cognitive Genomics Consortium); Social Science Genetic Association Consortium; Humans; Cohort Studies; Multifactorial Inheritance; Phenotype; Polymorphism, Single Nucleotide; Adult; Aged; Aged, 80 and over; Middle Aged; Educational Status; Female; Male; Genome-Wide Association Study |
| Subjects: | H Social Sciences > H Social Sciences (General) Q Science > QH Natural history > QH426 Genetics |
| Divisions: | Faculty of Science and Health Faculty of Social Sciences Faculty of Science and Health > Mathematics, Statistics and Actuarial Science, School of Faculty of Social Sciences > Institute for Social and Economic Research |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 06 Sep 2018 10:48 |
| Last Modified: | 30 Oct 2024 17:22 |
| URI: | http://repository.essex.ac.uk/id/eprint/22947 |
Available files
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