We recently associated ovarian FMR1genotypes and sub-genotypes with distinct ovarian aging patterns. How they impact older females is, however, unknown. We, therefore, investigated 217 consecutive first in vitro fertilization (IVF) cycles in women >40 assessing oocyte yields, stratified for better (anti-Müllerian hormone, AMH >1.05 ng/mL) or poorer (AMH≤1.05 ng/mL) functional reserve (FOR)). Mean age was 42.4±2.0 years, mean AMH 0.76±0.92 ng/mL and mean oocyte yield 5.3±5.4. Overall, and in women with better FOR, FMR1 did not affect oocyte yields. With poorer FOR (AMH≤1.05 ng/mL) women with het-norm/high, however, demonstrated higher oocyte yields (5.0±3.8) than those with het-norm/low sub-genotype 3.1±2.5; P = 0.03), confirmed after log conversion. Known associated with low FOR at young age, het-norm/high, thus, appears to preserve FOR into older age, and both het sub-genotypes appear to expand female reproductive lifespan into opposite directions.
Citation: Gleicher N, Weghofer A, Kim A, Barad DH (2012) The Impact in Older Women of Ovarian FMR1 Genotypes and Sub-Genotypes on Ovarian Reserve. PLoS ONE 7(3): e33638. doi:10.1371/journal.pone.0033638
Editor: Reiner Albert Veitia, Institut Jacques Monod, France
Received: November 7, 2011; Accepted: February 14, 2012; Published: March 16, 2012
Copyright: © 2012 Gleicher et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: The authors have no support or funding to report.
Competing interests: NG is owner of CHR, a for-profit infertility center, where this research was conducted. NG and DHB are listed as co-inventors on a number of pending, and one already awarded, U.S. patents claiming diagnostic benefits from dehydroepiandrosterone (DHEA)/androgen supplementation in women with diminished ovarian reserve (DOR). CHR recently received notice that a second U.S. DHEA patent, including the claim that DHEA/androgen supplementation reduces embryo aneuploidy in women with DOR, would be issued in the near future. NG and DHB are also co-inventors on a number of pending U.S. patent applications, claiming diagnostic relevance for the assessment of CGG triple repeats on the FMR1 gene in determining risk toward DOR and related issues. NG, AW, and DHB have in the past received research support, travel funds and speakers' honoraria from different pharma and medical device companies, none, however, in any way related to the here presented research data. This does not alter the authors' adherence to all the PLoS ONE policies on sharing data and materials, as detailed online in the guide for authors. At the time of this submission only one U.S. user patent with any relevance to this manuscript has been awarded (November 10, 2009; #7615544). It claims benefits from supplementation with DHEA/Androgens on ovarian reserve and pregnancy rates in women with DOR. Above noted second user patent (#12/123,877) is expected within weeks from this submission, claiming expanded benefits on pregnancy chances and decreased embryo aneuploidy (and, therefore, miscarriage risk) from DHEA/androgen supplementation. Among patent applications pending in regards to the FMR1 gene, one describes ovarian genotypes and sub-genotypes used in this manuscript, and claims that they reflect different ovarian aging patterns. All patent applications filed by researchers at CHR are 50% owned by CHR and 50% by the investigators who did the research that led to the application. A full list of all patent information can be provided on request. This study was partially funded by CHR.
Based on a normal range of CGG polynucleotide repeats of 26 to 34 (median 30), we recently reported ovarian genotypes and sub-genotypes of the FMR1 gene, so named because of their association with distinct ovarian aging patterns –. They have to be differentiated from previously reported FMR1 genotypes, clinically widely utilized to define neuro-psychiatric risks, associated with triple CGGn expansions to traditional premutation and full mutation genotype ranges . Expanded CGGn beyond 34 repeats would under the ovarian genotype nomenclature represent so-called high sub-genotypes of either heterozygous (het) or homozygous (hom) genotypes (see Materials and Methods for further detail). Probably because never before associated with pathology, traditional FMR1 genotypes do not address abnormally low CGGn counts, though they have been included in the ovarian genotype nomenclature as low ovarian sub-genotypes, and have been associated not only with distinct ovarian aging patterns but also with increased autoimmune risk –.
Especially the so-called het-norm/low FMR1 sub-genotypes has been strongly associated with a specific ovarian aging pattern, characterized by abundant follicle recruitment and, therefore, excessive functional ovarian reserve (FOR) at young age, and also with autoimmunity . These associations occur in all races/ethnicities, though with varying prevalence . Because of very active follicle recruitment at young age, het-norm/low women rather quickly deplete their FOR, often demonstrating already at young ages abnormally diminished ovarian reserve .
In comparison to other FMR1 genotypes and sub-genotypes, one, therefore, can view het-norm/low as moving a woman's functional reproductive peak towards younger ages. How ovarian FMR1 genotypes and sub-genotypes affect ovarian reserve at older female age is still not well understood, and was subject of investigation in this study.
Materials and Methods
Assuming identical ovarian aging patterns, women with different FMR1 genotypes and sub-genotypes should demonstrate similar FOR at advanced ages. FOR can be assessed in various ways, but, excluding obvious biases, oocyte yields in association with in vitro fertilization (IVF), likely, best reflect FOR . In addition, FOR can, of course, also be defined by follicle stimulating hormone (FSH) , anti-Müllerian hormone (AMH)  and antral follicle counts .
We investigated 217 consecutive first IVF cycles in women above age 40 and assessed, as previously reported –, oocyte yields in association with different FMR1 genotypes and sub-genotypes. In brief, the CGGn was determined for each patients, utilizing different laboratories, depending on insurance coverage (Genzyme Analytical Services, Westborough MA; Quest Diagnostics, Lyndhurst, NJ; and LabCorp, Burlington, NC). We previously determined that all laboratories used identical techniques, and found results compatible. Results were reported as number of triple CGG repeats per allele.
Utilizing test results from all of these laboratories, we previously reported that in regards to ovarian function, the normal range of CGG repeats on FMR1 is 26–34 (median 30) . This median also corresponds to the reported switching point between positive and negative message, as well as peak translation .
Based on this normal range, a woman can be normal (norm) if both of her alleles are in normal range, can be heterozygous (het) if one allele is in and one out of range, and homozygous (hom) if both alleles are out of range . Het and hom patients can be further sub-divided into sub-genotypes, depending whether their abnormal count allele is above (high) or below (low) normal range. Het women, thus, can be het-norm/high and het-norm/low; hom women can be het-high/high, het-high/low or het-low/low , . Because, as here again confirmed, hom patients are apparently very rare amongst infertility patients, the very few hom patients in this patient population were excluded from consideration. This study, therefore, only reports on associations of norm and het genotypes on FOR at advanced female ages.
FOR was defined by levels of AMH, as repeatedly before reported , and by oocyte yields in routine IVF cycles. Only first IVF cycles were analyzed. Since all patients were above age 40 years, they at our center are automatically considered to suffer from diminished FOR. This means that all patients receive ovarian stimulation through a microdose agonist protocol, utilizing an FSH product (300–450 IU) and a human menopausal gonadotropin (hMG) product (150 IU) daily. Products from different manufacturers were prescribed, based on the patient's insurance requirements.
All patients were managed by two senior physicians (N.G. and D.H.B.) who in their respective patient outcomes, based on years of comparative quality control evaluations, do not differ in regards to numbers of oocytes retrieved or pregnancy rates in IVF cycles. Both physicians utilize identical patient protocols. Such differences are considered the principle cause for inaccuracies in utilizing oocyte yields as reflections of FOR .
As all patients suffered because of their age from low FOR, they, based on AMH levels, were sub-divided into those with poorer pregnancy prognosis (AMH<1.05 ng/mL and better pregnancy chances (AMH≥1.05 ng/mL). We previously reported that this AMH cut off, at all ages, discriminates between lower and higher pregnancy chances in women with low FOR .
All women with low FOR are at our center automatically supplemented with dehydroepiandrosterone (DHEA) (25 mg TID) for at least six weeks prior to IVF cycle start . Here presented cycle outcome data are, therefore, not necessarily applicable to other women with low FOR, who are not DHEA supplemented.
FMR1 genotypes are reported as counts (%), while all other variables are reported as means ± standard deviation. Cancelled cycles (n = 20) are counted as 0 eggs.
Differences between normally distributed variables were tested with analysis of variance. Differences between groups of variables not conforming to normality were tested for with the Mann-Whitney test. A P of <0.05 was considered statistically significant. Statistical analyses were performed using the Statistical Package for Social Science version 18.0 (SPSS Inc., Chicago, IL)
Institutional Review Board
Reported data were extracted from the center's anonymized electronic research database, and, where necessary, supplemented by individual chart reviews. All of the center's patients sign at time of initial presentation an informed consent, which allows the study of their medical records for research purposes as long as the patient's anonymity is preserved and the medical record remains confidential. If both conditions are met, studies require only expedited review under the center's Institutional Review Board (IRB) rules. Both conditions were met for this study. In addition, all of the center's research staff is in writing committed to confidentiality under federal HIPAA rules.
The 217 women undergoing their first IVF cycles were on average age 42.4±2.0 years old. Their mean AMH was 0.76±0.92 ng/mL, and mean oocyte yield was 5.3±5.4 (Table 1).
In assessing distribution of FMR1 genotypes and sub-genotypes, 126/217 (58.1%) were norm, 35 (16.1%) were het-norm/high, and 56 (25.8%) were het-norm/low. In order, norm, het-norm/high and het-norm/low patients produced 5.2±5.2, 6.1±6.1 and 5.0±5.3 oocytes, a not significant difference; and in same order, AMH values were 0.81±0.89 ng/mL, 0.89±1.0 ng/mL and 0.84±0.91 ng/mL, also a non-significant difference.
Once patients were, however, assessed based on degree of diminished FOR, differences became apparent: While oocyte yields still did not differ among FMR1 genotypes and sub-genotypes in women with better ovarian reserve (AMH≥1.05 ng/mL), women with poorer FOR (AMH<1.05 ng/mL) demonstrated significantly higher oocyte yields with het norm/high FMR1 sub-genotype (5.0±3.8) than with het-norm/low sub-genotype (3.1±2.5, P = 0.03; Figure 1). Log-conversion, and adjustment for age maintained significance.
Here presented data exclude 20 cancelled cycles, and, therefore, represent 23 het norm/high and 33 het-norm/low women for statistical comparison. Including 9 cancelled cycles in these two sub-genotypes, the comparison maintains significance (P = 0.03). It also maintains significance using the independent samples Mann-Whitney U test (data not shown).
As Figure 1 demonstrates, norm patients fell in their oocyte yields between the two het sub-genotypes.
Here presented study, once again, demonstrates that ovarian aging patterns differ, depending on ovarian FMR1 genotypes and sub-genotypes. We previously in cross-sectional studies demonstrated distinct differences between norm and het ovarian genotypes  and between het sub-genotypes , . Because hom genotypes and sub-genotypes are rare, they have not, yet, been well defined.
These ovarian genotypes and sub-genotypes have to be distinguished from classical FMR1 genotypes, which for decades have been used to, primarily, define neuro-psychiatric risks with premutation range (55–200 CGG repeats) and full mutation (fragile X syndrome) genotypes (>200 CGG repeats) .
As the only not neuro-psychiatric complication of the classical premutation genotype, the FMR1 gene has for decades also been known associated with increased risk for premature ovarian failure (POF) , now also frequently called primary ovarian insufficiency (POI). It was this association that made us suspect that the gene may, possibly, also have ovarian functions .
This suspicion was further strengthened when, upon reviewing the published literature, we came across a study of CGG distribution in a general population by Fu et al, which demonstrated a very significant distribution peak at 29–30 repeats . Moreover, Chen et al had reported that 30 repeats represented the switching point for positive message and peak translation for the gene product, fragile X mental retardation protein .
Utilizing our own infertile patients, we determined a normal range of 26–34 CGG repeats in regards to the gene's ovarian function, with 30 repeats representing the median . Range and median were identified as identical in different ethnicities/races . Based on this normal range, we then defined patients as norm, het or hom, depending whether both, one or none of their two alleles were in normal range . Moreover, het and hom genotypes could then be sub-divided, based on whether abnormal alleles were above (high) or below (low) the normal range , .This revealed distinct differences between het-norm/high and het-norm/low sub-genotypes : Het-norm low is at young age associated with a polycystic ovary (PCO)-like ovarian phenotype, which rapidly depleted its ovarian reserve, at mid-age often already leading to prematurely diminished FOR. The sub-genotype was also associated with autoimmunity but this association, remarkably, reached approximately 90 percent when the sub-genotype was associated with a PCO-like ovarian phenotype. In contrast, the het-norm/high sub-genotype proved almost protective for autoimmunity, with only, barely, a 10 percent prevalence .
A further discussion of autoimmune findings exceeds the framework of this manuscript. The reviewer is directed to another, recent publication . Clinically most relevant for infertility practice, het-norm/low was also associated with significantly diminished IVF pregnancy rates in comparison to norm women, with het-norm/high patients falling in the middle .
Trying to understand the possible mechanisms behind this difference in pregnancy rates, we confirmed their association with the different ovarian genotypes and sub-genotypes in different ethnicities/races, which demonstrate greatly varying distributions of these genotypes and sub-genotypes, and, accordingly, also different IVF pregnancy chances and autoimmune prevalence .
Here, in this study, we attempted to better define the impact of female age. By investigating 217 consecutive first IVF cycles in women above age 40 years, the study offers a robust sample size of older women, seeking fertility treatment. Women at that age, universally, can be considered to suffer from low FOR . At our center they, therefore, are routinely supplemented for at least six weeks with DHEA before an IVF cycle is initiated . Here presented data for this reason have to be interpreted with caution since they may not be applicable to non-supplemented IVF cycles in older women.
We previously reported that an AMH level of 1.05 ng/mL in women with diminished FOR defines at all ages a cut off between better and poorer IVF pregnancy chances . Here presented results expand on these observations, as they demonstrate that in older women, above age 40 years, their FMR1 genotypes and sub-genotypes matter little in regards to oocyte yields in IVF, as long as they still have minimally fair ovarian reserve, defined as an AMH of ≥1.05 ng/mL. Since pregnancy chances usually follow oocyte yields, it appears likely that pregnancy chances also will not differ with different FMR1 genotypes and sub-genotypes, as long as AMH levels are ≥1.05 ng/mL, though this fact remains to be confirmed, as here studied cycle volume was too small to assess pregnancy outcomes.
Below AMH of 1.05 ng/mL, FMR1 genotypes and sub-genotypes, however, suddenly do to a significant degree matter: It does not surprise that the het-norm/low sub-genotype, once again, is associated with low oocyte yields, therefore, low FOR and, likely, lower pregnancy chances with IVF. We previously reported lower IVF pregnancy chances in association with IVF . The here observed unusually excellent performance of older women with het-norm/high sub-genotypes, despite very poor FOR, however, does somewhat surprise.
In a general infertility population, IVF pregnancy rates with het-norm/high sub-genotype were observed approximately half way between norm (best rates) and het-norm/low patients (worst rates) . Here, amongst women above age 40 years, oocyte yields in het-norm/high women outperformed both, norm (second-best) and het-norm/low patients (worst, Figure 1).
This represents a second observed instance in which the two ovarian het FMR1 sub-genotypes perform at opposing clinical extremes: A similar opposing association between the two het sub-genotypes was previously seen in definition of an autoimmune phenotype, when het-norm-high appeared protective and het-norm/low strongly enhancing for risk towards autoimmunity .
Why two sub-genotypes of the same genotype would reflect such opposing phenotypes allows for speculation: One could assume that the original FMR1 gene only contained what, now, represents the norm genotype. This genotype favors reproduction at relatively young age, when, due to robust recruitment of primordial follicles, FOR is high. Because of active recruitment, women with the norm genotype, therefore, deplete their FOR a relatively young ages . Their reproductive lifespan, consequently, would have to be homogenous and rather short.
Preservation of the species would, likely, favor less homogenous and, therefore, overall longer reproductive lifespans. One, therefore, could further speculate that evolution would favor gene mutations, which within a community allow for diversity of reproductive lifespans, some extending towards younger and others towards older age.
Here presented data are potentially supportive of the hypothesis that, amongst all FMR1 genotypes and sub-genotypes, the het-norm/high sub-genotype appears to preserve FOR into advanced female age the best. In contrast, as noted earlier, het-norm/low is associated with rapid depletion of FOR at young age and prematurely low FOR .
Both of these sub-genotypes could, thus, be seen as mutations from an originally norm range FMR1 gene, with the evolutionary goal to expand the community's reproductive lifespan into both directions, towards younger age with het/norm/low mutations, and towards older age with het-norm/high sub-genotypes.
While, thus, hypothetically advantageous to preservation of the species, both mutations also result in highly disadvantageous phenotypes to the human species: As already noted before, abnormally low CGG counts, represented by het-norm/low, significantly increase the risk towards autoimmunity , , potentially explaining why women carry a many-fold higher risk . Het-norm/high FMR1 mutations, by veering into CGG repeats above norm, create potential neuro-psychiatric risks, if expansion sizes reach classical premutation and full mutation ranges , . This study, thus, offers an expansive hypothetical view of the importance of the FMR1 gene, which until recently almost exclusively was only known for its neuro-psychiatric risks.
Conceived and designed the experiments: NG AW DHB. Performed the experiments: NG DHB. Analyzed the data: AK DHB. Wrote the paper: NG.
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