Genetic basis of STEM occupational choice and regional economic performance: a UK biobank genome-wide association study

Table 3 Parameter estimates of STEM polygenic score in explaining socioeconomic attainment

UKB Cohort	(1) STEM jobs			(2) Educational attainment			(3) Income
UKB Cohort	Beta	p	N	Beta	p	N	Beta	p	N
(a) Pooled	0.764	< 0.001	315,400	0.455	< 0.001	487,202	6340.032	< 0.001	415,766
(b) Males	1.169	< 0.001	150,713	0.532	< 0.001	223,043	5395.146	< 0.001	198,227
(c) Females	0.318	< 0.001	164,687	0.379	< 0.001	264,159	6744.243	< 0.001	217,539
(d) Irish	0.667	< 0.001	8617	0.395	< 0.001	12,707	5826.574	0.246	11,133
(e) Indian	0.990	< 0.001	4092	0.459	< 0.001	5660	13,444.807	0.150	4253
(f) Caribbean	0.522	< 0.001	3217	0.185	0.081	4295	21,886.042	0.011	3305
(g) African	1.399	< 0.001	2212	0.417	0.009	3202	24,189.643	0.038	2445
(h) Chinese	1.629	< 0.001	1112	0.218	0.264	1502	615.138	0.977	1201

All regressions were adjusted by age, age-squared, sex (except for rows b and c), and the first ten genetic principal components of each participant. Regressions of STEM jobs and income were also adjusted by whether holding a college/university degree

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