Nataliia Vladykina opens practical pharmacogenomics in reproductive medicine with a talk on moving from the genetic code to the clinical result and, above all, on overcoming a hypo-response to stimulation.
The starting point is the POSEIDON 1–2 groups: patients with a suboptimal response in whom standard doses yield fewer oocytes than the reserve predicts. This is exactly where genetics is especially useful.
The central theme is FSH-receptor polymorphisms, above all the Asn680Ser variant and position 307. Different genotypes "read" the same FSH dose differently, determining receptor sensitivity.
It is important to clearly separate a mutation from a polymorphism: a mutation may switch function off entirely, whereas a polymorphism only shifts the response — and this distinction has direct clinical consequences.
As a marker of suboptimal response Vladykina uses the FOI (follicle-to-oocyte index): it helps objectify the "shortfall" of oocytes relative to the antral pool.
To interpret polymorphisms the speaker relies on the Delphi consensus (Alviggi, Conforti), which frames how to translate genetic findings into protocol decisions.
FSH β-chain polymorphisms and the variant LH are examined separately: it is these profiles that indicate when standard FSH is insufficient and recombinant LH must be added to the protocol.
The GenOx 2025 study is cited, showing synergy of the FSH and LH receptors: their joint genetic characterisation predicts the response more accurately than either marker alone.
Vladykina also accounts for ethnic differences: the sensitivity and frequencies of polymorphisms differ between European and Asian populations (Hu 2024, Huang 2025 data), which matters for transferring results.
A separate block is artificial intelligence in predicting ovarian response: the Belen Lledó model, incorporating a set of 31 polymorphisms, illustrates the move from a single marker to a multidimensional prediction.
There is a concrete practical solution too: for carriers of the Ser-Ser genotype, urinary FSH becomes a reasonable option, its profile better suited to this receptor variant.
Vladykina proposes a work-up algorithm — a sequential assessment of the FSH, LH and GnRH receptors — that turns scattered genetic data into a structured strategy.
The overarching idea of the talk is a move from standardisation to personalisation: one dose "for all" gives way to choosing drug and dose for the patient's specific receptor profile.
The practical sense is that pharmacogenomics can explain and anticipate a hypo-response even before the first failure and select the drug in advance, rather than correcting the protocol in hindsight.
The upshot: the genetics of gonadotropin receptors moves from a research topic to an applied tool; sound FSHR/LHR phenotyping, the FOI index and, where available, AI prediction genuinely raise the chances for hypo-responder patients.
A focused 30–60 min lesson on "Фармакогеноміка у репродуктивній медицині: від генетичного коду до результату | Владикіна Н.В.". Watch at your own pace and bring the takeaways straight to your daily practice.
Lecture by Nataliia Vladykina, Medical Director of LITA clinic, reproductive medicine specialist and geneticist (Kyiv), on pharmacogenomics in ovarian stimulation. Why patients with a normal AMH and antral follicle count give a sub-optimal response and how to predict it: FSH receptor polymorphisms (Asn680Ser, position 307), the FOI index, the POSEIDON 1-2 classification, the Alviggi/Conforti Delphi consensus, FSH+LH receptor synergy from GenOx 2025, ethnic differences, Belen Lledó's AI prediction model and the rationale for urinary FSH in Ser-Ser carriers.