Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Jan 16;25(1):22.
doi: 10.1186/s13059-023-03136-z.

Trans-ancestral genome-wide association study of longitudinal pubertal height growth and shared heritability with adult health outcomes

Jonathan P Bradfield  1   2 Rachel L Kember  3 Anna Ulrich  4   5 Zhanna Balkhiyarova  4   5   6 Akram Alyass  7 Izzuddin M Aris  8 Joshua A Bell  9 K Alaine Broadaway  10 Zhanghua Chen  11 Jin-Fang Chai  12 Neil M Davies  9   13   14 Dietmar Fernandez-Orth  15 Mariona Bustamante  15 Ruby Fore  8 Amitavo Ganguli  2 Anni Heiskala  16 Jouke-Jan Hottenga  17 Carmen Íñiguez  18   19   20 Sayuko Kobes  21 Jaakko Leinonen  22 Estelle Lowry  16 Leo-Pekka Lyytikainen  23   24 Anubha Mahajan  25 Niina Pitkänen  26   27 Theresia M Schnurr  28 Christian Theil Have  28 David P Strachan  29 Elisabeth Thiering  30   31 Suzanne Vogelezang  32   33   34 Kaitlin H Wade  9   13 Carol A Wang  35   36 Andrew Wong  37 Louise Aas Holm  28   38 Alessandra Chesi  39 Catherine Choong  40 Miguel Cruz  41 Paul Elliott  42 Steve Franks  43 Christine Frithioff-Bøjsøe  28   38 W James Gauderman  11 Joseph T Glessner  1 Vicente Gilsanz  44 Kendra Griesman  45 Robert L Hanson  21 Marika Kaakinen  4   43 Heidi Kalkwarf  46 Andrea Kelly  47   48 Joseph Kindler  49 Mika Kähönen  23   24 Carla Lanca  50 Joan Lappe  51 Nanette R Lee  52 Shana McCormack  47   48 Frank D Mentch  1 Jonathan A Mitchell  47   53 Nina Mononen  54   55 Harri Niinikoski  56   57 Emily Oken  8   58 Katja Pahkala  26   27   59 Xueling Sim  12 Yik-Ying Teo  12 Leslie J Baier  21 Toos van Beijsterveldt  17 Linda S Adair  60 Dorret I Boomsma  17   61 Eco de Geus  17 Mònica Guxens  15   19   62 Johan G Eriksson  63   64   65 Janine F Felix  32   34 Frank D Gilliland  11 Penn Medicine BiobankTorben Hansen  28 Rebecca Hardy  66 Marie-France Hivert  8 Jens-Christian Holm  28   38   67 Vincent W V Jaddoe  32   34 Marjo-Riitta Järvelin  16   68   69 Terho Lehtimäki  54   55 David A Mackey  70 David Meyre  7   71   72   73 Karen L Mohlke  10 Juha Mykkänen  26   27 Sharon Oberfield  74 Craig E Pennell  35   36   75 John R B Perry  76   77 Olli Raitakari  26   27   78 Fernando Rivadeneira  33   79 Seang-Mei Saw  12 Sylvain Sebert  16   68 John A Shepherd  80 Marie Standl  30 Thorkild I A Sørensen  28   81 Nicholas J Timpson  9 Maties Torrent  19   82 Gonneke Willemsen  17 Elina Hypponen  83   84   85 Chris Power  83 Early Growth Genetics ConsortiumMark I McCarthy  25   86 Rachel M Freathy  87 Elisabeth Widén  22 Hakon Hakonarson  1   47 Inga Prokopenko  4   6   88 Benjamin F Voight  89   90   91 Babette S Zemel  47   53 Struan F A Grant  92   93   94   95   96   97 Diana L Cousminer  98   99   100   101
Affiliations

Trans-ancestral genome-wide association study of longitudinal pubertal height growth and shared heritability with adult health outcomes

Jonathan P Bradfield et al. Genome Biol. .

Erratum in

  • Author Correction: Trans-ancestral genome-wide association study of longitudinal pubertal height growth and shared heritability with adult health outcomes.
    Bradfeld JP, Kember RL, Ulrich A, Balkhiyarova Z, Alyass A, Aris IM, Bell JA, Broadaway KA, Chen Z, Chai JF, Davies NM, Fernandez-Orth D, Bustamante M, Fore R, Ganguli A, Heiskala A, Hottenga JJ, Íñiguez C, Kobes S, Leinonen J, Lowry E, Lyytikainen LP, Mahajan A, Pitkänen N, Schnurr TM, Have CT, Strachan DP, Thiering E, Vogelezang S, Wade KH, Wang CA, Wong A, Holm LA, Chesi A, Choong C, Cruz M, Elliott P, Franks S, Frithiof-Bøjsøe C, Gauderman WJ, Glessner JT, Gilsanz V, Griesman K, Hanson RL, Kaakinen M, Kalkwarf H, Kelly A, Kindler J, Kähönen M, Lanca C, Lappe J, Lee NR, McCormack S, Mentch FD, Mitchell JA, Mononen N, Niinikoski H, Oken E, Pahkala K, Sim X, Teo YY, Baier LJ, van Beijsterveldt T, Adair LS, Boomsma DI, de Geus E, Guxens M, Eriksson JG, Felix JF, Gilliland FD; Penn Medicine Biobank; Hansen T, Hardy R, Hivert MF, Holm JC, Jaddoe VWV, Järvelin MR, Lehtimäki T, Mackey DA, Meyre D, Mohlke KL, Mykkänen J, Oberfeld S, Pennell CE, Perry JRB, Raitakari O, Rivadeneira F, Saw SM, Sebert S, Shepherd JA, Standl M, Sørensen TIA, Timpson NJ, Torrent M, Willemsen G, Hypponen E, Power C; Early Growth Genetics Consortium; McCarthy MI, Freathy RM, Widén E, Hakonarson H, Prokopenko I… See abstract for full author list ➔ Bradfeld JP, et al. Genome Biol. 2024 May 21;25(1):129. doi: 10.1186/s13059-024-03276-w. Genome Biol. 2024. PMID: 38773652 Free PMC article. No abstract available.

Abstract

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.

PubMed Disclaimer

Conflict of interest statement

Diana L. Cousminer is an employee of and shareholder of GlaxoSmithKline (GSK). Mark McCarthy is employed by Genentech and a holder of Roche stock. John Perry is an employee and shareholder of Adrestia Therapeutics. Christine Frithioff-Bøjsøe is currently employed at Novo Nordisk. This work is unrelated to any activities at these companies.

Figures

Fig. 1
Fig. 1
Mean peak height velocity (cm/year) vs. mean age at peak height velocity (years) for cohorts of diverse ancestral backgrounds. Yellow and purple lines represent a linear model fit to APHV ~ PHV × sex. The shaded bars represent the standard deviation of the linear regression. The samples included 19 cohorts of European ancestry, 3 African American cohorts, 2 East Asian cohorts, and 5 American Native or Hispanic cohorts
Fig. 2
Fig. 2
Six phenotypes assessed by GWAS. The top panel shows a typical growth curve for boys (blue) and girls (red), with age (years) on the x-axis and height gain (cm/year) on the y-axis. First, we included three simple height or height-difference phenotypes as previously assessed [14]: (I) The take-off phase of the pubertal growth spurt (height at age 10 in girls and 12 in boys); (II) total pubertal growth, between ages 8 and adult; and (III) late pubertal growth, between ages 14 and adult. Additionally, we included three phenotypes derived from SITAR longitudinal modeling: (IV) a-size; (V) b-timing; and (VI) c-intensity. The black line represents the mean population growth curve for a cohort (by sex). Each individual gets a random effect for the three parameters; for example, if a subject is taller than their peers (upper red line), they get a positive value for a-size, while a shorter individual (lower line in panel IV) gets a negative value. A subject who enters their growth spurt earlier than the mean (left line in panel V) gets a negative value for b-timing, while a subject growing later (right line in panel V) gets a positive value. Finally, a subject who grows faster than the population mean (steeper line in panel VI) receives a positive value for c-intensity, while a subject growing slower (shallower line in panel VI) gets a negative value for c-intensity
Fig. 3
Fig. 3
Genetic correlation (rg) between pubertal growth and anthropometric traits. A Correlation with adiposity traits. B Correlation with body size traits. 10F/12 M, height at age 10 years in girls and age 12 years in boys; 14–adult, height difference between age 14 years and adult; 8–adult, height difference between age 8 years and adult; a-size, SITAR-derived height across the growth trajectory; c-intensity, SITAR-derived tempo of the pubertal growth spurt
Fig. 4
Fig. 4
Genetic correlation (rg) of pubertal growth with adult health outcomes. A Bone and glycemic outcomes, including femoral neck and lumbar spine bone mineral density and three glycemic traits. B Lung cancer and lung function outcomes. C Cardiac and lipid outcomes. D Neuropsychiatric outcomes and overall wellbeing (parents’ age at death). LDL, low-density lipoprotein; HDL, high-density lipoprotein; HOMA-IR, homeostatic model assessment for insulin resistance; PEF, peak expiratory flow; FVC, forced vital capacity; FEV1, forced exhalation volume in 1 s; ALS, Amyotrophic lateral sclerosis. 10F/12 M, height at age 10 years in girls and age 12 years in boys; 14–adult, height difference between age 14 years and adult; 8–adult, height difference between age 8 years and adult; a-size, SITAR-derived height across the growth trajectory; c-intensity, SITAR-derived tempo of the pubertal growth spurt

References

    1. Palmert MR, Boepple PA. Variation in the timing of puberty: clinical spectrum and genetic investigation. J Clin Endocrinol Metab. 2001;86:2364–2368. - PubMed
    1. Silventoinen K, et al. Genetic regulation of growth from birth to 18 years of age: The Swedish young male twins study. Am J Hum Biol. 2008;20:292–298. - PubMed
    1. Ohlsson C, et al. Secular Trends in Pubertal Growth Acceleration in Swedish Boys Born From 1947 to 1996. JAMA Pediatr. 2019;173:860–865. - PMC - PubMed
    1. Lai FY, et al. Adult height and risk of 50 diseases: a combined epidemiological and genetic analysis. BMC Med. 2018;16:187. - PMC - PubMed
    1. Antonisamy B, et al. Weight Gain and Height Growth during Infancy, Childhood, and Adolescence as Predictors of Adult Cardiovascular Risk. J Pediatr. 2017;180:53–61.e3. - PMC - PubMed

Publication types