TY - JOUR
T1 - Trans-ancestral genome-wide association study of longitudinal pubertal height growth and shared heritability with adult health outcomes
AU - Bradfield, Jonathan P
AU - Kember, Rachel L
AU - Ulrich, Anna
AU - Balkiyarova, Zhanna
AU - Alyass, Akram
AU - Aris, Izzuddin M
AU - Bell, Joshua A
AU - Broadaway, K Alaine
AU - Chen, Zhanghua
AU - Chai, Jin-Fang
AU - Davies, Neil M
AU - Fernandez-Orth, Dietmar
AU - Bustamante, Mariona
AU - Fore, Ruby
AU - Ganguli, Amitavo
AU - Heiskala, Anni
AU - Hottenga, Jouke-Jan
AU - Íñiguez, Carmen
AU - Kobes, Sayuko
AU - Leinonen, Jaakko
AU - Lowry, Estelle
AU - Lyytikainen, Leo-Pekka
AU - Mahajan, Anubha
AU - Pitkänen, Niina
AU - Schnurr, Theresia M
AU - Have, Christian Theil
AU - Strachan, David P
AU - Thiering, Elisabeth
AU - Vogelezang, Suzanne
AU - Wade, Kaitlin H
AU - Wang, Carol A
AU - Wong, Andrew
AU - Holm, Louise Aas
AU - Chesi, Alessandra
AU - Choong, Catherine
AU - Cruz, Miguel
AU - Elliott, Paul
AU - Franks, Steve
AU - Frithioff-Bøjsøe, Christine
AU - Gauderman, W James
AU - Glessner, Joseph T
AU - Gilsanz, Vicente
AU - Griesman, Kendra
AU - Hanson, Robert L
AU - Kaakinen, Marika
AU - Kalkwarf, Heidi
AU - Kelly, Andrea
AU - Hansen, Torben
AU - Holm, Jens-Christian
AU - Sørensen, Thorkild I A
AU - Grant, Struan F A
AU - Cousminer, Diana L
AU - Early Growth Genetics Consortium
N1 - © 2023. The Author(s).
PY - 2024
Y1 - 2024
N2 - BACKGROUND: Pubertal growth patterns correlate with future health outcomes. However, the genetic mechanisms mediating growth trajectories remain largely unknown. Here, we modeled longitudinal height growth with Super-Imposition by Translation And Rotation (SITAR) growth curve analysis on ~ 56,000 trans-ancestry samples with repeated height measurements from age 5 years to adulthood. We performed genetic analysis on six phenotypes representing the magnitude, timing, and intensity of the pubertal growth spurt. To investigate the lifelong impact of genetic variants associated with pubertal growth trajectories, we performed genetic correlation analyses and phenome-wide association studies in the Penn Medicine BioBank and the UK Biobank.RESULTS: Large-scale growth modeling enables an unprecedented view of adolescent growth across contemporary and 20th-century pediatric cohorts. We identify 26 genome-wide significant loci and leverage trans-ancestry data to perform fine-mapping. Our data reveals genetic relationships between pediatric height growth and health across the life course, with different growth trajectories correlated with different outcomes. For instance, a faster tempo of pubertal growth correlates with higher bone mineral density, HOMA-IR, fasting insulin, type 2 diabetes, and lung cancer, whereas being taller at early puberty, taller across puberty, and having quicker pubertal growth were associated with higher risk for atrial fibrillation.CONCLUSION: We report novel genetic associations with the tempo of pubertal growth and find that genetic determinants of growth are correlated with reproductive, glycemic, respiratory, and cardiac traits in adulthood. These results aid in identifying specific growth trajectories impacting lifelong health and show that there may not be a single "optimal" pubertal growth pattern.
AB - BACKGROUND: Pubertal growth patterns correlate with future health outcomes. However, the genetic mechanisms mediating growth trajectories remain largely unknown. Here, we modeled longitudinal height growth with Super-Imposition by Translation And Rotation (SITAR) growth curve analysis on ~ 56,000 trans-ancestry samples with repeated height measurements from age 5 years to adulthood. We performed genetic analysis on six phenotypes representing the magnitude, timing, and intensity of the pubertal growth spurt. To investigate the lifelong impact of genetic variants associated with pubertal growth trajectories, we performed genetic correlation analyses and phenome-wide association studies in the Penn Medicine BioBank and the UK Biobank.RESULTS: Large-scale growth modeling enables an unprecedented view of adolescent growth across contemporary and 20th-century pediatric cohorts. We identify 26 genome-wide significant loci and leverage trans-ancestry data to perform fine-mapping. Our data reveals genetic relationships between pediatric height growth and health across the life course, with different growth trajectories correlated with different outcomes. For instance, a faster tempo of pubertal growth correlates with higher bone mineral density, HOMA-IR, fasting insulin, type 2 diabetes, and lung cancer, whereas being taller at early puberty, taller across puberty, and having quicker pubertal growth were associated with higher risk for atrial fibrillation.CONCLUSION: We report novel genetic associations with the tempo of pubertal growth and find that genetic determinants of growth are correlated with reproductive, glycemic, respiratory, and cardiac traits in adulthood. These results aid in identifying specific growth trajectories impacting lifelong health and show that there may not be a single "optimal" pubertal growth pattern.
KW - Adult
KW - Adolescent
KW - Humans
KW - Child
KW - Child, Preschool
KW - Genome-Wide Association Study
KW - Diabetes Mellitus, Type 2
KW - Puberty/genetics
KW - Phenotype
KW - Body Height/genetics
KW - Outcome Assessment, Health Care
KW - Longitudinal Studies
U2 - 10.1186/s13059-023-03136-z
DO - 10.1186/s13059-023-03136-z
M3 - Journal article
C2 - 38229171
SN - 1474-7596
VL - 25
JO - Genome Biology
JF - Genome Biology
M1 - 22
ER -