scholarly journals The genetics of maternal care: Direct and indirect genetic effects on phenotype in the dung beetle Onthophagus taurus

2002 ◽  
Vol 99 (10) ◽  
pp. 6828-6832 ◽  
Author(s):  
J. Hunt ◽  
L. W. Simmons
2002 ◽  
Vol 15 (1) ◽  
pp. 57-64 ◽  
Author(s):  
J. Hunt ◽  
L. W. Simmons ◽  
J. S. Kotiaho

2013 ◽  
Vol 3 (6) ◽  
pp. 1692-1701 ◽  
Author(s):  
Mark A. Genung ◽  
Joseph K. Bailey ◽  
Jennifer A. Schweitzer

2012 ◽  
Vol 26 (2) ◽  
pp. 253-259 ◽  
Author(s):  
Mary Crowe ◽  
Erin Raspet ◽  
Jan Rychtar ◽  
Sat Gupta

2019 ◽  
Vol 52 ◽  
pp. 195-205 ◽  
Author(s):  
Harry G. Potter ◽  
David G. Ashbrook ◽  
Reinmar Hager

PLoS ONE ◽  
2013 ◽  
Vol 8 (6) ◽  
pp. e65136 ◽  
Author(s):  
Irene Camerlink ◽  
Simon P. Turner ◽  
Piter Bijma ◽  
J. Elizabeth Bolhuis

2020 ◽  
Vol 10 (19) ◽  
pp. 10558-10570
Author(s):  
Patrick T. Rohner ◽  
Anna L. M. Macagno ◽  
Armin P. Moczek

2021 ◽  
Author(s):  
Laurence Howe ◽  
David Evans ◽  
Gibran Hemani ◽  
George Davey Smith ◽  
Neil Martin Davies

Estimating effects of parental and sibling genotypes (indirect genetic effects) can provide insight into how the family environment influences phenotypic variation. There is growing molecular genetic evidence for effects of parental phenotypes on their offspring (e.g. parental educational attainment), but the extent to which siblings affect each other is currently unclear.Here we used data from samples of unrelated individuals, without (singletons) and with biological full-siblings (non-singletons), to investigate and estimate sibling effects. Indirect genetic effects of siblings increase (or decrease) the covariance between genetic variation and a phenotype. It follows that differences in genetic association estimates between singletons and non-singletons could indicate indirect genetic effects of siblings.We used UK Biobank data to estimate polygenic risk score (PRS) associations for height, BMI and educational attainment in singletons (N = 50,143) and non-singletons (N = 328,549). The educational attainment PRS association estimate was 12% larger (95% C.I. 3%, 21%) in the non-singleton sample than in the singleton sample, but the height and BMI PRS associations were consistent. Birth order data suggested that the difference in educational attainment PRS associations was driven by individuals with older siblings rather than firstborns. The relationship between number of siblings and educational attainment PRS associations was non-linear; PRS associations were 24% smaller in individuals with 6 or more siblings compared to the rest of the sample (95% C.I. 11%, 38%). We estimate that a 1 SD increase in sibling educational attainment PRS corresponds to a 0.025 year increase in the index individual’s years in schooling (95% C.I. 0.013, 0.036).Our results suggest that older siblings influence the educational attainment of younger siblings, adding to the growing evidence that effects of the environment on phenotypic variation partially reflect social effects of germline genetic variation in relatives.


Sign in / Sign up

Export Citation Format

Share Document