| 000 | 02461nab a2200373 c 4500 | ||
|---|---|---|---|
| 001 | vtls000586731 | ||
| 003 | RU-ToGU | ||
| 005 | 20220525172039.0 | ||
| 007 | cr | | ||
| 008 | 171019|2017 enk s a eng dd | ||
| 024 | 7 |
_a10.1038/mp.2016.107 _2doi |
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| 035 | _ato000586731 | ||
| 040 |
_aRU-ToGU _brus _cRU-ToGU |
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| 245 | 1 | 0 |
_aPredicting educational achievement from DNA _cS. Selzam, E. Krapohl, S. von Stumm [et.al.] |
| 504 | _aБиблиогр.: 39 назв. | ||
| 520 | 3 | _aA genome-wide polygenic score (GPS), derived from a 2013 genome-wide association study (N=127,000), explained 2% of the variance in total years of education (EduYears). In a follow-up study (N=329,000), a new EduYears GPS explains up to 4%. Here, we tested the association between this latest EduYears GPS and educational achievement scores at ages 7, 12 and 16 in an independent sample of 5825 UK individuals. We found that EduYears GPS explained greater amounts of variance in educational achievement over time, up to 9% at age 16, accounting for 15% of the heritable variance. This is the strongest GPS prediction to date for quantitative behavioral traits. Individuals in the highest and lowest GPS septiles differed by a whole school grade at age 16. Furthermore, EduYears GPS was associated with general cognitive ability (~3.5%) and family socioeconomic status (~7%). There was no evidence of an interaction between EduYears GPS and family socioeconomic status on educational achievement or on general cognitive ability. These results are a harbinger of future widespread use of GPS to predict genetic risk and resilience in the social and behavioral sciences. | |
| 653 | _aДНК | ||
| 653 | _aгеномы | ||
| 655 | 4 |
_aстатьи в журналах _9745982 |
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| 700 | 1 |
_aSelzam, Saskia _9459167 |
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| 700 | 1 |
_aStumm, Sophie von _9478063 |
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| 700 | 1 |
_aO'Reilly, P. F. _9478064 |
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| 700 | 1 |
_aRimfeld, Kaili _9166382 |
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| 700 | 1 |
_aKovas, Yulia V. _999181 |
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| 700 | 1 |
_aDale, Philip S. _9135759 |
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| 700 | 1 |
_aLee, J. J. _9478065 |
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| 700 | 1 |
_aPlomin, Robert _d1948- _9481653 |
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| 700 | 1 |
_aKrapohl, Eva _9166376 |
|
| 773 | 0 |
_tMolecular psychiatry _d2017 _gVol. 22, № 2. P. 267-272 _x1359-4184 |
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| 852 | 4 | _aRU-ToGU | |
| 856 | 7 | _uhttp://vital.lib.tsu.ru/vital/access/manager/Repository/vtls:000586731 | |
| 908 | _aстатья | ||
| 999 | _c427432 | ||