Table 2.

Significant linear mixed effects models.

	Beta	p-value	R2 marginal	R2 conditional
LINE1 Entire cohort (n = 572)
Altitude of Birth*	0.598 (High)	0.0002	0.014	0.729
City of Recruitment**	0.474 (Cerro)	0.0002	0.014	0.729
Years at high altitude**	0.025 (years HA)	3.51E-05	0.015	0.729
LINE1 Individuals born at high altitude (n = 429)
City of Recruitment**	0.387 (Cerro)	0.0170	0.011	0.740
Years at high altitude**	0.033 (years HA)	0.0047	0.012	0.740
LINE1 Quechua Low-Altitude Migrants MQ (n = 146)
Years at high altitude**	0.029 (years HA)	0.071	0.012	0.729
EPAS1 Entire cohort (n = 539)
Altitude of Birth ***	−0.392 (High)	0.2119	0.036	0.887
City of Recruitment ***	−0.828 (Cerro)	0.0025	0.044	0.887
Years at high altitude ***	−0.029 (years HA)	0.0193	0.040	0.887
EPAS1 Individuals born at high altitude (n = 380)
City of Recruitment***	−0.912 (Cerro)	0.0054	0.049	0.879
Years at high altitude***	−0.059 (years HA)	0.0092	0.047	0.879
EPAS1 Quechua Low-Altitude Migrants MQ (n = 123)
Years at high altitude***	−0.049 (years HA)	0.1895	0.021	0.862

Altitude refers to the altitude of birth (High vs. low)

City refers to the city of recruitment (Cerro de Pasco vs Lima)

Years HA refers to the number of years one lived at high altitude

LA, Low altitude

HA, high altitude

REML, restricted maximum likelihood

Marginal R2 represents the variance explained by the fixed factors, and conditional R2 represents the variance explained by both fixed and random factors

* Model was adjusted for sex, age, group, BMI, and PC1

** Models were adjusted for sex, age, BMI, and PC1

*** Models were adjusted for sex, age, and PC1