A hundred ways to ask for help interpreting a file, organised into eleven areas. They are examples: the full kit, with the instructions and the Panel Guide, goes to ecosystem professionals together with the study. A sample of 31 is shown here, in English; the full set is in Spanish.
Interpret the attached NutriGPT genetic file with the Panel Guide. Give me a table by area with each variant, its number of copies and its reading, mark the variants with no data, and summarise in five points which guidance from their NutriGPT genetic profile should most influence the eating plan.
I attach the client's NutriGPT genetic file and a summary of their dietary history: [habits, timings, foods they avoid, previous diets]. Identify where their current habits already fit the guidance from their NutriGPT genetic profile and where there is most room for improvement, and rank those changes by expected impact and ease.
According to their NutriGPT genetic file, my client has [n] copies of the reference allele at MTHFR rs1801133 (C677T) and [n] at MTHFR rs1801131 (A1298C). Design a week of menus that reaches the reference intake of folate with natural foods (leafy greens, pulses, citrus, nuts), with the approximate daily contribution and cooking techniques that reduce losses.
With this 3-day food record [paste], estimate folate intake and compare it with the reference intake. Taking into account the MTHFR rs1801133 and rs1801131 readings in their NutriGPT genetic file, suggest five simple swaps that improve it without changing their style of eating.
With the variants in the “Response to dietary fats” area of their NutriGPT genetic file, explain which type of fat should predominate in the client's diet and translate it into weekly portions of olive oil, nuts, oily fish and dairy.
Analyse this 3-day record [paste] and identify the main sources of saturated fat. With the APOA2 rs5082 and FABP2 rs1799883 readings in their NutriGPT genetic file, suggest specific swaps that keep dishes they enjoy.
With ADIPOQ rs17300539 and PPARG rs1801282 from their NutriGPT genetic file, adapt the Mediterranean pattern to their habits [habits] and check their current adherence with the 14 items of the MEDAS questionnaire (PREDIMED).
With the variants in the “Carbohydrates and meal timing” area of their NutriGPT genetic file, explain which carbohydrates to prioritise (wholegrains, pulses, whole fruit) and which to moderate, and how to combine them with protein and fibre at each meal.
According to MTNR1B rs10830963 and CLOCK rs1801260 in their NutriGPT genetic file, and knowing that they have dinner at [time] and go to bed at [time], propose a realistic dinner schedule and a light model dinner for each weekday.
With MTNR1B rs10830963 and IRS1 rs2943641 from their NutriGPT genetic file, distribute the day's carbohydrates between breakfast, lunch, afternoon snack and dinner for their routine [routine] and explain why.
With the variants in the “Appetite and satiety” area of their NutriGPT genetic file, design ten specific satiety strategies for this client (volume, protein, fibre, eating speed, meal structure) and how to measure whether they work.
According to LEPR rs1137101 in their NutriGPT genetic file and their goal [goal], distribute daily protein across meals (paying attention to breakfast) and suggest plant and animal sources for each.
With FTO rs9939609 and MC4R rs17782313 from their NutriGPT genetic file, reformulate five of the client's usual dishes [dishes] to reduce their energy density without losing volume or flavour.
With CYP1A2 rs762551 and rs2069514 from their NutriGPT genetic file and their current intake [cups and times], propose an adapted coffee routine (amount and cut-off time) and afternoon alternatives.
With the CYP1A2 rs762551 reading in their NutriGPT genetic file, list less obvious sources of caffeine (tea, cola drinks, energy drinks, chocolate, pre-workouts) and estimate the total caffeine in their day from their record [paste].
According to CYP1A2 rs762551 and CLOCK rs1801260 in their NutriGPT genetic file and their sleep data [hours, quality or wearable data], assess whether coffee timing may be affecting their rest and propose a two-week trial.
With the variants in the “Inflammation and antioxidant defence” area of their NutriGPT genetic file, design an anti-inflammatory eating pattern based on the Mediterranean model, with a week of menus and the shopping list.
With the readings in the “Inflammation and antioxidant defence” area of their NutriGPT genetic file, suggest how to increase polyphenols (berries, pure cocoa, tea, spices, extra virgin olive oil, pulses) at each meal of the day.
With NQO1 rs1800566 and NFE2L2 rs6721961 from their NutriGPT genetic file, plan how to include cruciferous vegetables four times a week and explain how to prepare them (chop and rest, short cooking) to preserve sulforaphane.
With the AGT rs699 reading in their NutriGPT genetic file, propose a plan to reduce salt at home (spices, acids, cooking techniques) and a gradual reduction schedule so the palate adapts.
According to AGT rs699 in their NutriGPT genetic file, review this record or shopping list [paste], identify the main sources of hidden salt (bread, cured meats, cheeses, sauces, ready meals) and suggest alternatives.
With AGT rs699 from their NutriGPT genetic file, design a potassium-rich model day (vegetables, fruit, pulses, nuts) and estimate its contribution against the recommendation.
With ACTN3 rs1815739 and ACE rs4343 from their NutriGPT genetic file, describe which type of training the client seems to adapt to best and how to combine strength and endurance in their week [availability], making clear that every profile benefits from both.
According to PPARGC1A rs8192678 in their NutriGPT genetic file and their training schedule [schedule], suggest what to eat before and after training (carbohydrates, protein, hydration) on training and rest days.
With COL1A1 rs1800012 and COL5A1 rs12722 from their NutriGPT genetic file, suggest tendon and ligament care habits (warm-up, progressive loading, mobility) and their nutritional support (sufficient protein, vitamin C with meals), and recommend that an exercise professional validates it.
My client is vegan. With the readings in the “Vitamins and minerals” area of their NutriGPT genetic file, review their critical nutrients (B12, omega-3, vitamin A, vitamin D, calcium, iodine, iron, zinc) and design a complete week of menus, noting what they should discuss with their doctor.
My client is [age] years old and independent. With the vitamin D, vitamin B12 and exercise variants in their NutriGPT genetic file, propose a plan that looks after muscle mass, hydration and appetite, adapted to the way they cook.
My client works rotating shifts [shifts]. With MTNR1B rs10830963, CLOCK rs1801260 and CYP1A2 rs762551 from their NutriGPT genetic file, propose how to organise meals, coffee and rest on each type of shift.
Write an explanation of about 300 words for the client on what their NutriGPT genetic profile means for their diet and habits, in a friendly tone, without alarmism and making clear that it is not a diagnosis.
With the priority guidance from their NutriGPT genetic profile, create a one-page sheet for the client with their three goals for the month, five meal ideas and a daily adherence table, with no technical genetic terms.
With their NutriGPT genetic profile and what they have told me about their barriers [barriers], suggest open questions and motivational-interviewing phrases for the next session that use their results as a lever for change.
The prompts are designed for the NutriGPT study file and its Panel Guide. With other files, the results are not reliable.