Transcriptome-wide association analyses identify an association between arl14ep and polycystic ovary syndrome

Transcriptome-wide association analyses identify an association between arl14ep and polycystic ovary syndrome


Play all audios:


ABSTRACT Polycystic ovary syndrome (PCOS) is a common endocrine disorder, which is accompanied by a variety of comorbidities including metabolic, reproductive, and psychiatric disorders.


Genome-wide association studies have identified several genetic variants that are associated with PCOS. However, these variants often occur outside of coding regions and require further


investigation to understand their contribution to PCOS. A transcriptome-wide association study (TWAS) was performed to uncover heritable gene expression profiles that are associated with


PCOS in two independent cohorts. Causal gene prioritization was subsequently performed and expression of genes prioritized through these analyses was examined in 49 PCOS patients and 30


controls. TWAS analyses revealed that increased expression of _ARL14EP_ was significantly associated with PCOS risk in the discovery (_P_ = 1.6 × 10-6) and replication cohorts (_P_ = 2.0 × 


10-13). Gene prioritization pipelines provided further evidence that _ARL14EP_ is the most likely causal gene at this locus. _ARL14EP_ gene expression was shown to be significantly different


between PCOS cases and controls, after adjusting for body mass index, age and testosterone levels (_P_ = 1.2 × 10-13). This study has provided evidence for the role of _ARL14EP_ in PCOS.


Given that _ARL14EP_ has been reported to play an important role in chromatin remodeling, variants affecting the expression of _ARL14EP_ may also affect the expression of other genes that


contribute to PCOS pathogenesis. Access through your institution Buy or subscribe This is a preview of subscription content, access via your institution ACCESS OPTIONS Access through your


institution Subscribe to this journal Receive 12 print issues and online access $259.00 per year only $21.58 per issue Learn more Buy this article * Purchase on SpringerLink * Instant access


to full article PDF Buy now Prices may be subject to local taxes which are calculated during checkout ADDITIONAL ACCESS OPTIONS: * Log in * Learn about institutional subscriptions * Read


our FAQs * Contact customer support SIMILAR CONTENT BEING VIEWED BY OTHERS CUSTOM EXOME PANEL REVEALED NEW MUTATIONS IN _MAPK14_ AND NOVEL MUTATION IN _RUNX2_ GENE IN PATIENTS WITH PCOS


Article Open access 16 January 2025 RELATIONSHIP BETWEEN THE CHARACTERISTIC TRAITS OF POLYCYSTIC OVARY SYNDROME AND SUSCEPTIBILITY GENES Article Open access 26 June 2020 UNVEILING THE SHARED


GENETIC ARCHITECTURE BETWEEN TESTOSTERONE AND POLYCYSTIC OVARY SYNDROME Article Open access 13 October 2024 DATA AVAILABILITY Summary statistics utilized in this publication were obtained


from https://www.repository.cam.ac.uk/handle/1810/283491. CODE AVAILABILITY The code used in this manuscript is available at


https://github.com/SarahMLyle/Identification-of-Gene-Expression-Patterns-Associated-with-Polycystic-Ovary-Syndrome- REFERENCES * Franks S. Polycystic ovary syndrome. N. Engl J Med.


1995;333:853–61. Article  CAS  PubMed  Google Scholar  * Azziz R. Introduction: Determinants of polycystic ovary syndrome. Fertil Steril. 2016;106:4–5. Article  PubMed  Google Scholar  *


Deswal R, Narwal V, Dang A, Pundir CS. The prevalence of polycystic ovary syndrome: A brief systematic review. J Hum Reprod Sci. 2020;13:261–71. Article  CAS  PubMed  PubMed Central  Google


Scholar  * Liu J, Wu Q, Hao Y, Jiao M, Wang X, Jiang S, et al. Measuring the global disease burden of polycystic ovary syndrome in 194 countries: Global Burden of Disease Study 2017. Hum


Reprod. 2021;36:1108–19. Article  PubMed  PubMed Central  Google Scholar  * Huddleston HG, Dokras A. Diagnosis and treatment of polycystic ovary syndrome. JAMA - J Am Med Assoc.


2022;327:274–5. Article  Google Scholar  * Williams T, Mortada R, Porter S. Diagnosis and treatment of polycystic ovary syndrome. Am Fam Physician. 2016;94:106–13. PubMed  Google Scholar  *


Vink JM, Sadrzadeh S, Lambalk CB, Boomsma DI. Heritability of polycystic ovary syndrome in a Dutch twin-family study. J Clin Endocrinol Metab. 2006;91:2100–4. Article  CAS  PubMed  Google


Scholar  * Chen ZJ, Zhao H, He L, Shi Y, Qin Y, Shi Y, et al. Genome-wide association study identifies susceptibility loci for polycystic ovary syndrome on chromosome 2p16.3, 2p21 and


9q33.3. Nat Genet 2011;43:55–9. Article  PubMed  Google Scholar  * Shi Y, Zhao H, Shi Y, Cao Y, Yang D, Li Z, et al. Genome-wide association study identifies eight new risk loci for


polycystic ovary syndrome. Nat Genet. 2012;44:1020–5. Article  CAS  PubMed  Google Scholar  * Hayes MG, Urbanek M, Ehrmann DA, Armstrong LL, Lee JY, Sisk R, et al. Genome-wide association of


polycystic ovary syndrome implicates alterations in gonadotropin secretion in European ancestry populations. Nature. Communications 2015;6:14. Google Scholar  * Day FR, Hinds DA, Tung JY,


Stolk L, Styrkarsdottir U, Saxena R, et al. Causal mechanisms and balancing selection inferred from genetic associations with polycystic ovary syndrome. Nat Commun. 2015;6:1–7. Article 


Google Scholar  * Day F, Karaderi T, Jones MR, Meun C, He C, Drong A, et al. Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for


different diagnosis criteria. PLoS Genet. 2018;14:1–20. Article  Google Scholar  * Barbeira AN, Bonazzola R, Gamazon ER, Liang Y, Park YS, Kim-Hellmuth S, et al. Exploiting the GTEx


resources to decipher the mechanisms at GWAS loci. Genome Biol. 2021;22:1–24. Article  Google Scholar  * Wainberg M, Sinnott-Armstrong N, Mancuso N, Barbeira AN, Knowles DA, Golan D, et al.


Opportunities and challenges for transcriptome-wide association studies. Nat Genet. 2019;51:592–9. Article  CAS  PubMed  PubMed Central  Google Scholar  * Pividori M, Rajagopal PS, Barbeira


A, Liang Y, Melia O, Bastarache L, et al. PhenomeXcan: Mapping the genome to the phenome through the transcriptome. Sci Adv. 2020;6:eaba2083. Article  CAS  PubMed  Google Scholar  * Doke T,


Huang S, Qiu C, Liu H, Guan Y, Hu H, et al. Transcriptome-wide association analysis identifies DACH1 as a kidney disease risk gene that contributes to fibrosis. J Clin Investig. 2021;1:131.


* Wu C, Tan S, Liu L, Cheng S, Li P, Li W, et al. Transcriptome-wide association study identifies susceptibility genes for rheumatoid arthritis. Arthr Res Ther. 2021;1:23. * Li X, Su X, Liu


J, Li H, Li M, Li W, et al. Transcriptome-wide association study identifies new susceptibility genes and pathways for depression. Transl Psychiatry. 2021;1:11. * Pan C, Ning Y, Jia Y, Cheng


S, Wen Y, Yang X, et al. Transcriptome-wide association study identified candidate genes associated with gut microbiota. Gut Pathog. 2021;1:13. * Hormozdiari F, Kichaev G, Yang WY, Pasaniuc


B, Eskin E. Identification of causal genes for complex traits. Bioinformatics 2015;31:i206–13. Article  CAS  PubMed  PubMed Central  Google Scholar  * Mancuso N, Freund MK, Johnson R, Shi H,


Kichaev G, Gusev A, et al. Probabilistic fine-mapping of transcriptome-wide association studies. Nat Genet. 2019;51:675–82. Article  CAS  PubMed  PubMed Central  Google Scholar  * Gazal S,


Weissbrod O, Hormozdiari F, Dey KK, Nasser J, Jagadeesh KA, et al. Combining SNP-to-gene linking strategies to identify disease genes and assess disease omnigenicity. Nat Genet.


2022;54:827–36. Article  CAS  PubMed  PubMed Central  Google Scholar  * Romm A. PCOS Summary Sheet [Internet]. [cited 2022 Jul 7]. Available from:


https://www.repository.cam.ac.uk/handle/1810/283491 * GWAS. Harmonization And Imputation· hakyimlab/summary-gwas-imputation Wiki [Internet]. GitHub. [cited 2022 Nov 20]. Available from:


https://github.com/hakyimlab/summary-gwas-imputation * Auton A, Abecasis GR, Altshuler DM, Durbin RM, Bentley DR, Chakravarti A, et al. A global reference for human genetic variation. Vol.


526, Nature. Nature Publishing Group; 2015. p. 68–74. * GTEx Project. GTEx portal. GTEx Analysis Release V6p (dbGaP Accession phs000424.v6.p1). 2017. * Barbeira AN, Pividori MD, Zheng J,


Wheeler HE, Nicolae DL, Im HK. Integrating predicted transcriptome from multiple tissues improves association detection. PLoS Genet. 2019;15:e1007889. Article  PubMed  PubMed Central  Google


Scholar  * FinnGen results [Internet]. [cited 2022 Nov 20]. Available from: https://r7.finngen.fi/pheno/E4_PCOS_CONCORTIUM * Liao C, Laporte AD, Spiegelman D, Akçimen F, Joober R, Dion PA,


et al. Transcriptome-wide association study of attention deficit hyperactivity disorder identifies associated genes and phenotypes. * Giambartolomei C, Vukcevic D, Schadt EE, Franke L,


Hingorani AD, Wallace C, et al. Bayesian test for colocalisation between pairs of genetic association studies using summary statistics. PLOS Genet. 2014;10:e1004383. Article  PubMed  PubMed


Central  Google Scholar  * Rentzsch P, Schubach M, Shendure J, Kircher M. CADD-Splice—improving genome-wide variant effect prediction using deep learning-derived splice scores. Genome Med.


2021;1:13. * Cunningham F, Allen JE, Allen J, Alvarez-Jarreta J, Amode MR, Armean IM, et al. Ensembl 2022. Nucleic Acids Res. 2022;50:D988–95. Article  CAS  PubMed  Google Scholar  *


Watanabe K, Taskesen E, Van Bochoven A, Posthuma D. Functional mapping and annotation of genetic associations with FUMA. Nature. Communications 2017;8:1–11. CAS  Google Scholar  * LDlink: a


web-based application for exploring population-specific haplotype structure and linking correlated alleles of possible functional variants - PMC [Internet]. [cited 2022 Dec 9]. Available


from: https://www-ncbi-nlm-nih-gov.uml.idm.oclc.org/pmc/articles/PMC4626747/ * Kokosar M, Benrick A, Perfilyev A, Fornes R, Nilsson E, Maliqueo M, et al. Epigenetic and transcriptional


alterations in human adipose tissue of polycystic ovary syndrome. Sci Rep. 2016;6:22883. Article  CAS  PubMed  PubMed Central  Google Scholar  * Stener-Victorin E, Holm G, Labrie F, Nilsson


L, Janson PO, Ohlsson C. Are there any sensitive and specific sex steroid markers for polycystic ovary syndrome? J Clin Endocrinol Metab. 2010;95:810–9. Article  CAS  PubMed  Google Scholar


  * Alkes Group [Internet]. [cited 2022 Nov 20]. Available from: https://alkesgroup.broadinstitute.org/cS2G/code * Misgar RA, Wani AI, Bankura B, Bashir MI, Roy A, Das M. FSH β-subunit


mutations in two sisters: the first report from the Indian sub-continent and review of previous cases. Gynecol Endocrinol. 2019;35:290–3. Article  CAS  PubMed  Google Scholar  * Li Y, Chen


C, Ma Y, Xiao J, Luo G, Li Y, et al. Multi-system reproductive metabolic disorder: significance for the pathogenesis and therapy of polycystic ovary syndrome (PCOS). Vol. 228, Life Sciences.


Elsevier Inc.; 2019. p. 167–75. * Statello L, Guo CJ, Chen LL, Huarte M. Gene regulation by long non-coding RNAs and its biological functions. Nat Rev Mol Cell Biol. 2021;22:96–118. Article


  CAS  PubMed  Google Scholar  * OMIM Entry - * 612295 - ADP-RIBOSYLATION FACTOR-LIKE GTPase 14 EFFECTOR PROTEIN; ARL14EP [Internet]. [cited 2022 May 12]. Available from:


https://omim.org/entry/612295 * OMIM Entry - # 194072 - WILMS TUMOR, ANIRIDIA, GENITOURINARY ANOMALIES, AND MENTAL RETARDATION SYNDROME; WAGR [Internet]. [cited 2022 May 12]. Available from:


https://omim.org/entry/194072 * Duffy KA, Trout KL, Gunckle JM, Krantz SMC, Morris J, Kalish JM. Results From the WAGR Syndrome Patient Registry: Characterization of WAGR Spectrum and


Recommendations for Care Management. Front Pediatrics. 2021;9:733018. Article  Google Scholar  * Peter CJ, Saito A, Hasegawa Y, Tanaka Y, Nagpal M, Perez G, et al. In vivo epigenetic editing


of Sema6a promoter reverses transcallosal dysconnectivity caused by C11orf46/Arl14ep risk gene. Nat Commun. 2019;10:4112. Article  PubMed  PubMed Central  Google Scholar  * Sakaue S,


Weinand K, Dey KK, Jagadeesh K, Kanai M, Watts GFM, et al. Tissue-specific enhancer-gene maps from multimodal single-cell data identify causal disease alleles [Internet]. Genet Genom Med.


2022 [cited 2023 Jan 3]. Available from: http://medrxiv.org/lookup/doi/10.1101/2022.10.27.22281574 * Zhang Z, Zamojski M, Smith GR, Willis TL, Yianni V, Mendelev N, et al. Single nucleus


transcriptome and chromatin accessibility of postmortem human pituitaries reveal diverse stem cell regulatory mechanisms. Cell Rep. 2022;38:110467. Article  CAS  PubMed  PubMed Central 


Google Scholar  * Censin JC, Bovijn J, Holmes M, Lindgren C. Colocalization analysis of polycystic ovary syndrome to identify potential disease-mediating genes and proteins. Eur J Human


Genet. 2021;29:1446–54. Article  CAS  Google Scholar  * Sen A, Prizant H, Light A, Biswas A, Hayes E, Lee HJ, et al. Androgens regulate ovarian follicular development by increasing follicle


stimulating hormone receptor and microRNA-125b expression. Proc Natl Acad Sci USA. 2014;111:3008–13. Article  CAS  PubMed  PubMed Central  Google Scholar  Download references


ACKNOWLEDGEMENTS Galen EB Wright provided critical feedback during the writing process. FUNDING BID is supported by a CIHR Tier 2 Canada Research Chair in Pharmacogenomics. SML was supported


by BioTalent Canada. SA was supported by Research Manitoba and NSERC VADA. AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Department of Biochemistry and Medical Genetics, Rady Faculty of


Health Sciences, University of Manitoba, Winnipeg, MB, Canada Sarah M. Lyle, Samah Ahmed, Mark W. Nachtigal & Britt I. Drögemöller * Department of Obstetrics, Gynecology and Reproductive


Sciences, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada Jason E. Elliott & Mark W. Nachtigal * Children’s Hospital Research Institute of Manitoba,


Winnipeg, MB, Canada Jason E. Elliott & Britt I. Drögemöller * Department of Physiology and Pharmacology, Karolinska Institute, Solna, Stockholm, Sweden Elisabet Stener-Victorin *


CancerCare Manitoba Research Institute, Winnipeg, MB, Canada Mark W. Nachtigal & Britt I. Drögemöller Authors * Sarah M. Lyle View author publications You can also search for this author


inPubMed Google Scholar * Samah Ahmed View author publications You can also search for this author inPubMed Google Scholar * Jason E. Elliott View author publications You can also search


for this author inPubMed Google Scholar * Elisabet Stener-Victorin View author publications You can also search for this author inPubMed Google Scholar * Mark W. Nachtigal View author


publications You can also search for this author inPubMed Google Scholar * Britt I. Drögemöller View author publications You can also search for this author inPubMed Google Scholar


CONTRIBUTIONS SML: Performed the analysis; Wrote the paper. SA: Performed analyses. JE: Wrote the paper. ES-V: Provided data. MN: Wrote the paper. BID: Conceived and designed the analysis;


Wrote the paper. CORRESPONDING AUTHOR Correspondence to Britt I. Drögemöller. ETHICS DECLARATIONS COMPETING INTERESTS The authors declare no competing interests. ETHICAL APPROVAL Ethical


approvals were not required for the TWAS, as theses analyses were performed using publicly available summary statistics. The summary statistics obtained did not include identifiable


participant information and thus ensured the privacy of participants. Ethical approval for the targeted gene expression analyses was obtained from the Regional Ethical Review Board of the


University of Gothenburg in accordance with the Declaration of Helsinki. ADDITIONAL INFORMATION PUBLISHER’S NOTE Springer Nature remains neutral with regard to jurisdictional claims in


published maps and institutional affiliations. SUPPLEMENTARY INFORMATION SUPPLEMENTARY TABLE 1. PREDICTED FUNCTIONAL CONSEQUENCES OF VARIANTS ASSOCIATED (P <1X10-6) WITH PCOS RIGHTS AND


PERMISSIONS Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s);


author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Reprints and permissions ABOUT THIS


ARTICLE CITE THIS ARTICLE Lyle, S.M., Ahmed, S., Elliott, J.E. _et al._ Transcriptome-wide association analyses identify an association between _ARL14EP_ and polycystic ovary syndrome. _J


Hum Genet_ 68, 347–353 (2023). https://doi.org/10.1038/s10038-023-01120-w Download citation * Received: 10 August 2022 * Revised: 05 January 2023 * Accepted: 07 January 2023 * Published: 31


January 2023 * Issue Date: May 2023 * DOI: https://doi.org/10.1038/s10038-023-01120-w SHARE THIS ARTICLE Anyone you share the following link with will be able to read this content: Get


shareable link Sorry, a shareable link is not currently available for this article. Copy to clipboard Provided by the Springer Nature SharedIt content-sharing initiative