Genetic variants associated with female reproductive ageing – potential markers for assessing ovarian function and ovarian stimulation outcome Triin.

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Genetic variants associated with female reproductive ageing – potential markers for assessing ovarian function and ovarian stimulation outcome Triin Laisk-Podar, Tanel Kaart, Maire Peters, Andres Salumets Reproductive BioMedicine Online Volume 31, Issue 2, Pages 199-209 (August 2015) DOI: 10.1016/j.rbmo.2015.05.001 Copyright © 2015 Reproductive Healthcare Ltd. Terms and Conditions

Figure 1 Effect of studied genotypes on analysed traits. Least square means (±standard error) or estimated probabilities (± standard error) of studied parameters for SNP genotypes with statistically significant effect (model details in Supplementary Table S2 and least square means/estimated probabilities for all genotypes in Supplementary Table S3). (A) Early follicular phase follicle stimulating hormone (FSH) concentrations according to rs2303369 (FNDC4) and rs611246 (FSHB) genotypes; (B) mean early antral follicle count according to rs1277460 (FSHR) and rs6166 (FSHR) genotypes; (C) total amount of rFSH used according to rs10852344 (intergenic), rs12461110 (NLRP11) and rs4246511 (RHBDL2) genotypes; (D) amount of recombinant FSH (rFSH) administered per retrieved oocyte according to rs11668344 (TMEM150B), rs2153157 (SYCP2L) and rs4246511 (RHBDL2) genotypes; (E) number of ovarian follicles punctured according to rs3736830 (KPNA3), rs4886238 (TDRD3), rs7606918 (METAP1D) and rs2268363 (FSHR) genotypes; (F) number of obtained oocytes according to rs4886238 (TDRD3) and rs7606918 (METAP1D) genotypes; (G) probability of biochemical pregnancy according to rs2153157 (SYCP2L) and rs10852344 (intergenic) genotypes; and (H) probability of clinical pregnancy according to rs10852344 (intergenic), rs2153157 (SYCP2L), rs4246511 (RHBDL2) and rs611246 (FSHB) genotypes. Reproductive BioMedicine Online 2015 31, 199-209DOI: (10.1016/j.rbmo.2015.05.001) Copyright © 2015 Reproductive Healthcare Ltd. Terms and Conditions

Figure 2 Schematic overview of the current results. Effect estimates given for allele shown in brackets. For SNP from the menopause meta-analysis, the influence on the timing of natural menopause is also shown (as derived from Table 1 of the paper by Stolk et al., 2012). Reproductive BioMedicine Online 2015 31, 199-209DOI: (10.1016/j.rbmo.2015.05.001) Copyright © 2015 Reproductive Healthcare Ltd. Terms and Conditions