Large trans-ethnic meta-analysis identifies AKR1C4 as a novel gene associated with age at menarche

Author:

Sarnowski C12ORCID,Cousminer D L345,Franceschini N6,Raffield L M7,Jia G8,Fernández-Rhodes L9,Grant S F A341011,Hakonarson H341012ORCID,Lange L A13,Long J8,Sofer T1415ORCID,Tao R1617,Wallace R B18,Wong Q19,Zirpoli G2021ORCID,Boerwinkle E22,Bradfield J P3423,Correa A242526,Kooperberg C L27,North K E628,Palmer J R2021,Zemel B S1029,Zheng W8ORCID,Murabito J M3031,Lunetta K L1

Affiliation:

1. Boston University School of Public Health, Boston, MA, USA

2. Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA

3. Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA

4. Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA

5. Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

6. Department of Epidemiology, University of North Carolina at Chapel Hill Gillings School of Global Public Health, Chapel Hill, NC, USA

7. Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

8. Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA

9. Department of Biobehavioral Health, College of Health and Human Development, Pennsylvania State University, University Park, PA, USA

10. Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

11. Division of Endocrinology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA

12. Division of Pulmonary Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA

13. Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA

14. Departments of Medicine and of Biostatistics, Harvard University, Boston, MA, USA

15. Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA, USA

16. Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA

17. Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA

18. University of Iowa College of Public Health, Iowa City, IA, USA

19. Department of Biostatistics, University of Washington, Seattle, WA, USA

20. Slone Epidemiology Center at Boston University, Boston, MA, USA

21. Section of Hematology/Oncology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA

22. Human Genetic Center and Department of Epidemiology, The University of Texas School of Public Health, Houston, TX, USA

23. Quantinuum Research, LLC, Wayne, PA, USA

24. Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA

25. Department of Pediatrics, University of Mississippi Medical Center, Jackson, MS, USA

26. Department of Population Health Science, University of Mississippi Medical Center, Jackson, MS, USA

27. Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA

28. Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA

29. Division of Gastroenterology, Hepatology and Nutrition, The Children's Hospital of Philadelphia, Philadelphia, PA, USA

30. National Heart Lung and Blood Institute and Boston University’s Framingham Heart Study, Framingham, MA, USA

31. Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA

Abstract

Abstract STUDY QUESTION Does the expansion of genome-wide association studies (GWAS) to a broader range of ancestries improve the ability to identify and generalise variants associated with age at menarche (AAM) in European populations to a wider range of world populations? SUMMARY ANSWER By including women with diverse and predominantly non-European ancestry in a large-scale meta-analysis of AAM with half of the women being of African ancestry, we identified a new locus associated with AAM in African-ancestry participants, and generalised loci from GWAS of European ancestry individuals. WHAT IS KNOWN ALREADY AAM is a highly polygenic puberty trait associated with various diseases later in life. Both AAM and diseases associated with puberty timing vary by race or ethnicity. The majority of GWAS of AAM have been performed in European ancestry women. STUDY DESIGN, SIZE, DURATION We analysed a total of 38 546 women who did not have predominantly European ancestry backgrounds: 25 149 women from seven studies from the ReproGen Consortium and 13 397 women from the UK Biobank. In addition, we used an independent sample of 5148 African-ancestry women from the Southern Community Cohort Study (SCCS) for replication. PARTICIPANTS/MATERIALS, SETTING, METHODS Each AAM GWAS was performed by study and ancestry or ethnic group using linear regression models adjusted for birth year and study-specific covariates. ReproGen and UK Biobank results were meta-analysed using an inverse variance-weighted average method. A trans-ethnic meta-analysis was also carried out to assess heterogeneity due to different ancestry. MAIN RESULTS AND THE ROLE OF CHANCE We observed consistent direction and effect sizes between our meta-analysis and the largest GWAS conducted in European or Asian ancestry women. We validated four AAM loci (1p31, 6q16, 6q22 and 9q31) with common genetic variants at P < 5 × 10−7. We detected one new association (10p15) at P < 5 × 10−8 with a low-frequency genetic variant lying in AKR1C4, which was replicated in an independent sample. This gene belongs to a family of enzymes that regulate the metabolism of steroid hormones and have been implicated in the pathophysiology of uterine diseases. The genetic variant in the new locus is more frequent in African-ancestry participants, and has a very low frequency in Asian or European-ancestry individuals. LARGE SCALE DATA N/A LIMITATIONS, REASONS FOR CAUTION Extreme AAM (<9 years or >18 years) were excluded from analysis. Women may not fully recall their AAM as most of the studies were conducted many years later. Further studies in women with diverse and predominantly non-European ancestry are needed to confirm and extend these findings, but the availability of such replication samples is limited. WIDER IMPLICATIONS OF THE FINDINGS Expanding association studies to a broader range of ancestries or ethnicities may improve the identification of new genetic variants associated with complex diseases or traits and the generalisation of variants from European-ancestry studies to a wider range of world populations. STUDY FUNDING/COMPETING INTEREST(S) Funding was provided by CHARGE Consortium grant R01HL105756-07: Gene Discovery For CVD and Aging Phenotypes and by the NIH grant U24AG051129 awarded by the National Institute on Aging (NIA). The authors have no conflict of interest to declare.

Funder

CHARGE Consortium

NIH

National Institute on Aging

National Institutes of Health

Eunice Kennedy Shriver National Institute of Child Health and Human Development

Clinical and Translational Science Awards Program

NIH/NICHD

Gene Discovery For CVD and Aging Phenotypes

Publisher

Oxford University Press (OUP)

Subject

Obstetrics and Gynaecology,Rehabilitation,Reproductive Medicine

Reference76 articles.

1. The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators;Anonymous;Am J Epidemiol,1989

2. Design of the Women's Health Initiative clinical trial and observational study. The Women's Health Initiative Study Group;Anonymous;Control Clin Trials,1998

3. Estimation of variance components for age at menarche in twin families;Anderson;Behav Genet,2007

4. Relative weight and race influence average age at menarche: results from two nationally representative surveys of US girls studied 25 years apart;Anderson;Pediatrics,2003

5. Expression and activity of steroid aldoketoreductases 1C in omental adipose tissue are positive correlates of adiposity in women;Blouin;Am J Physiol Endocrinol Metab,2005

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3