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Some of our XYM platform features:

  • Polygenic Score is the best predictive method to give you a complete picture – analyzing a group of genes, not just one gene.
  • 170+ carefully selected test areas that have the most impact on day to day health.
  • A number of scientific servers around the world contain hundreds of thousands of scientific papers identifying important gene traits.
  • The state-of-the-art patented Natural Language Processing technology delivers the most relevant video lessons out of several billion videos.

Instead of testimonials we will have two additional blocks:

puzzle

Some of our XYM platform features:

  • Polygenic Score is the best predictive method to give you a complete picture – analyzing a group of genes, not just one gene.
  • 170+ carefully selected test areas that have the most impact on day to day health.
  • A number of scientific servers around the world contain hundreds of thousands of scientific papers identifying important gene traits.
  • The state-of-the-art patented Natural Language Processing technology delivers the most relevant video lessons out of several billion videos.

Instead of testimonials we will have two additional blocks:

puzzle

Our Story

 Driven by the widely-accepted notion in contemporary science that analyzing one’s DNA to forecast inclinations in all aspects of life is a powerful method, we refine DNA reporting to align with a scientifically grounded lifestyle. Our company embarked on a journey to transform genetic information into practical applications. Now, we stand as the proficient guide that supports you and your clients throughout your lives.

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Our Science

Our AI-powered XYM platform specializes in looking at the most important genes for preventative health – data that helps you decide what you can do every day to improve your health and wellness.

Learn how your DNA turns into your personal wellness recommendations. DNA is the genetic material that carries information about how your body looks and functions.

In short, DNA is a long molecule that contains each person’s unique genetic code. It holds the instructions for building the proteins that are essential for our bodies to function.

DNA instructions are passed from parent to child, with roughly half of a child’s DNA originating from the father and half from the mother. DNA is a two-stranded molecule that appears twisted, giving it a unique shape referred to as the double helix.

DNA is made up of molecules called nucleotides, which come in four types: Adenine (A), Thymine (T), Cytosine (C), and Guanine (G). Specific sequences of nucleotides are called genes, and genes provide instructions for making proteins. For example ACTCG is a gene.

Some nucleotides tend to differ between people. When nucleotides vary between two people, for example AT vs TT, it is called a variant or Single Nucleotide Polymorphism (SNP). SNPs (pronounced snips) can lead to differences in everything from eye color to how you metabolize carbohydrates, vitamins, and fats.

At XYMetrics, we analyze SNP’s that directly impacts how your body processes food, reacts to chemicals and allergens, and responds to physical workouts.

Our Mission

Our mission at XYMetrics is to unlock complex information from your DNA and present it to you in a way that’s interesting, useful, and easy to understand.

Our AI-powered scientific platform specializes in looking at the most important genes for preventative health – data that helps you decide what you can do every day to improve your health and wellness.

XYMetrics combines genetic and lifestyle information to help you understand why you respond, or are predisposed to, different ways of eating, exercising, supplementing, or behaving. We want to help you learn more about yourself and improve your life through genetically based wellness Advisory.

workout (1)

Genetically tailored workouts

Whatever your goal and experience, if you want to maximize your results, you’ll need a workout plan that’s personalized to you.

We combine your genetic profile with your lifestyle factors and training goal to tailor you a unique: Genetic Workout plan, Genetic workout media lessons.

Genetically tailored nutrition

Tailored workouts are only one part of the story. You’ll also need to know how, when, and what to eat to achieve the best results.

We use your genetic results and unique lifestyle factors to build you a personalized nutrition guide, complete with tailored to Macronutrient breakdown, Meal Volume, and Media Recipies.

nutrition

XYMetrics’ clinical team of pharmacologists, geneticists, researchers, genetic counselors, nutritionists, and dietitians use thousands of global peer-reviewed research studies to provide recommendations based on the most substantial evidence and references available.

  1. NUTRITION & LIFESTYLE
    • Frayling TM, Timpson NJ, Weedon MN, Zeggini E, Freathy RM, Lindgren CM, et al. A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science. 2007;316(5826):889-94.
    • Cecil J, Dalton M, Finlayson G, Blundell J, Hetherington M, Palmer C. Obesity and eating behaviour in children and adolescents: contribution of common gene polymorphisms. Int Rev Psychiatry. 2012;24(3):200-10.
    • Karra E, O’Daly OG, Choudhury AI, Yousseif A, Millership S, Neary MT, et al. A link between FTO, ghrelin, and impaired brain food-cue responsivity. J Clin Invest. 2013;123(8):3539-51.
    • Tovar A, Emond JA, Hennessy E, Gilbert-Diamond D. An FTO Gene Variant Moderates the Association between Parental Restriction and Child BMI. PLoS One. 2016;11(5):e0155521.
    • Livingstone KM, Celis-Morales C, Papandonatos GD, Erar B, Florez JC, Jablonski KA, et al. FTO genotype and weight loss: systematic review and meta-analysis of 9563 individual participant data from eight randomised controlled trials. BMJ. 2016;354:i4707.
    • Zhang X, Qi Q, Zhang C, Smith SR, Hu FB, Sacks FM, et al. FTO genotype and 2-year change in body composition and fat distribution in response to weight-loss diets: the POUNDS LOST Trial. Diabetes. 2012;61(11):3005-11.
    • Kilpelainen TO, Qi L, Brage S, Sharp SJ, Sonestedt E, Demerath E, et al. Physical activity attenuates the influence of FTO variants on obesity risk: a meta-analysis of 218,166 adults and 19,268 children. PLoS Med. 2011;8(11):e1001116.
    • Andreasen CH, Stender-Petersen KL, Mogensen MS, Torekov SS, Wegner L, Andersen G, et al. Low physical activity accentuates the effect of the FTO rs9939609 polymorphism on body fat accumulation. Diabetes. 2008;57(1):95-101.
    • Hardy R, Wills AK, Wong A, Elks CE, Wareham NJ, Loos RJ, et al. Life course variations in the associations between FTO and MC4R gene variants and body size. Hum Mol Genet. 2010;19(3):545-52.
    • Sacks FM, Bray GA, Carey VJ, Smith SR, Ryan DH, Anton SD, et al. Comparison of weight-loss diets with different compositions of fat, protein, and carbohydrates. N Engl J Med. 2009;360(9):859-73.
    • Gouda HN, Sagoo GS, Harding AH, Yates J, Sandhu MS, Higgins JP. The association between the peroxisome proliferator-activated receptor-gamma2 (PPARG2) Pro12Ala gene variant and type 2 diabetes mellitus: a HuGE review and meta-analysis. Am J Epidemiol. 2010;171(6):645-55.
    • Memisoglu A, Hu FB, Hankinson SE, Manson JE, De Vivo I, Willett WC, et al. Interaction between a peroxisome proliferator-activated receptor gamma gene polymorphism and dietary fat intake in relation to body mass. Hum Mol Genet. 2003;12(22):2923-9.
    • Delahanty LM, Pan Q, Jablonski KA, Watson KE, McCaffery JM, Shuldiner A, et al. Genetic predictors of weight loss and weight regain after intensive lifestyle modification, metformin treatment, or standard care in the Diabetes Prevention Program. Diabetes Care. 2012;35(2):363-6.
    • Franks PW, Jablonski KA, Delahanty L, Hanson RL, Kahn SE, Altshuler D, et al. The Pro12Ala variant at the peroxisome proliferator-activated receptor gamma gene and change in obesity-related traits in the Diabetes Prevention Program. Diabetologia. 2007;50(12):2451-60.
    • Pihlajamaki J, Schwab U, Kaminska D, Agren J, Kuusisto J, Kolehmainen M, et al. Dietary polyunsaturated fatty acids and the Pro12Ala polymorphisms of PPARG regulate serum lipids through divergent pathways: a randomized crossover clinical trial. Genes Nutr. 2015;10(6):43.
    • Robitaille J, Despres JP, Perusse L, Vohl MC. The PPAR-gamma P12A polymorphism modulates the relationship between dietary fat intake and components of the metabolic syndrome: results from the Quebec Family Study. Clin Genet. 2003;63(2):109-16.
    • Kilpelainen TO, Lakka TA, Laaksonen DE, Lindstrom J, Eriksson JG, Valle TT, et al. SNPs in PPARG associate with type 2 diabetes and interact with physical activity. Med Sci Sports Exerc. 2008;40(1):25-33.
    • Ruchat SM, Rankinen T, Weisnagel SJ, Rice T, Rao DC, Bergman RN, et al. Improvements in glucose homeostasis in response to regular exercise are influenced by the PPARG Pro12Ala variant: results from the HERITAGE Family Study. Diabetologia. 2010;53(4):679-89.
    • Goumidi L, Cottel D, Dallongeville J, Amouyel P, Meirhaeghe A. Effects of established BMI-associated loci on obesity-related traits in a French representative population sample. BMC Genet. 2014;15:62.
    • Hong KW, Oh B. Recapitulation of genome-wide association studies on body mass index in the Korean population. Int J Obes (Lond). 2012;36(8):1127-30.
    • Speliotes EK, Willer CJ, Berndt SI, Monda KL, Thorleifsson G, Jackson AU, et al. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet. 2010;42(11):937-48.
    • Papandonatos GD, Pan Q, Pajewski NM, Delahanty LM, Peter I, Erar B, et al. Genetic Predisposition to Weight Loss and Regain With Lifestyle Intervention: Analyses From the Diabetes Prevention Program and the Look AHEAD Randomized Controlled Trials. Diabetes. 2015;64(12):4312-21.
    • Diabetes Prevention Program Research G. The Diabetes Prevention Program (DPP): description of lifestyle intervention. Diabetes Care. 2002;25(12):2165-71.
    • Isaacs A, Sayed-Tabatabaei FA, Njajou OT, Witteman JC, van Duijn CM. The -514 C->T hepatic lipase promoter region polymorphism and plasma lipids: a meta-analysis. J Clin Endocrinol Metab. 2004;89(8):3858-63.
    • Xu M, Ng SS, Bray GA, Ryan DH, Sacks FM, Ning G, et al. Dietary Fat Intake Modifies the Effect of a Common Variant in the LIPC Gene on Changes in Serum Lipid Concentrations during a Long-Term Weight-Loss Intervention Trial. J Nutr. 2015;145(6):1289-94.
    • Ordovas JM, Corella D, Demissie S, Cupples LA, Couture P, Coltell O, et al. Dietary fat intake determines the effect of a common polymorphism in the hepatic lipase gene promoter on high-density lipoprotein metabolism: evidence of a strong dose effect in this gene-nutrient interaction in the Framingham Study. Circulation. 2002;106(18):2315-21.
    • Grarup N, Andreasen CH, Andersen MK, Albrechtsen A, Sandbaek A, Lauritzen T, et al. The -250G>A promoter variant in hepatic lipase associates with elevated fasting serum high-density lipoprotein cholesterol modulated by interaction with physical activity in a study of 16,156 Danish subjects. J Clin Endocrinol Metab. 2008;93(6):2294-9.
    • De Caterina R, Talmud PJ, Merlini PA, Foco L, Pastorino R, Altshuler D, et al. Strong association of the APOA5-1131T>C gene variant and early-onset acute myocardial infarction. Atherosclerosis. 2011;214(2):397-403.
    • Zhao T, Zhao J. Association of the apolipoprotein A5 gene -1131 T>C polymorphism with fasting blood lipids: a meta-analysis in 37859 subjects. BMC Med Genet. 2010;11:120.
    • Lai CQ, Corella D, Demissie S, Cupples LA, Adiconis X, Zhu Y, et al. Dietary intake of n-6 fatty acids modulates effect of apolipoprotein A5 gene on plasma fasting triglycerides, remnant lipoprotein concentrations, and lipoprotein particle size: the Framingham Heart Study. Circulation. 2006;113(17):2062-70.
    • Kang R, Kim M, Chae JS, Lee SH, Lee JH. Consumption of whole grains and legumes modulates the genetic effect of the APOA5 -1131C variant on changes in triglyceride and apolipoprotein A-V concentrations in patients with impaired fasting glucose or newly diagnosed type 2 diabetes. Trials. 2014;15:100.
    • Lu JF, Zhou Y, Huang GH, Jiang HX, Hu BL, Qin SY. Association of ADIPOQ polymorphisms with obesity risk: a meta-analysis. Hum Immunol. 2014;75(10):1062-8.
    • Gao M, Ding D, Huang J, Qu Y, Wang Y, Huang Q. Association of genetic variants in the adiponectin gene with metabolic syndrome: a case-control study and a systematic meta-analysis in the Chinese population. PLoS One. 2013;8(4):e58412.
    • Hara K, Boutin P, Mori Y, Tobe K, Dina C, Yasuda K, et al. Genetic variation in the gene encoding adiponectin is associated with an increased risk of type 2 diabetes in the Japanese population. Diabetes. 2002;51(2):536-40.
    • Mente A, Razak F, Blankenberg S, Vuksan V, Davis AD, Miller R, et al. Ethnic variation in adiponectin and leptin levels and their association with adiposity and insulin resistance. Diabetes Care. 2010;33(7):1629-34.
    • Cheung CY, Hui EY, Cheung BM, Woo YC, Xu A, Fong CH, et al. Adiponectin gene variants and the risk of coronary heart disease: a 16-year longitudinal study. Eur J Endocrinol. 2014;171(1):107-15.
    • Shin MJ, Jang Y, Koh SJ, Chae JS, Kim OY, Lee JE, et al. The association of SNP276G>T at adiponectin gene with circulating adiponectin and insulin resistance in response to mild weight loss. Int J Obes (Lond). 2006;30(12):1702-8.
    • Yu N, Ruan Y, Gao X, Sun J. Systematic Review and Meta-Analysis of Randomized, Controlled Trials on the Effect of Exercise on Serum Leptin and Adiponectin in Overweight and Obese Individuals. Horm Metab Res. 2017;49(3):164-73.
    • Reis CE, Bressan J, Alfenas RC. Effect of the diet components on adiponectin levels. Nutr Hosp. 2010;25(6):881-8.
    • Coffee, Caffeine Genetics C, Cornelis MC, Byrne EM, Esko T, Nalls MA, et al. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption. Mol Psychiatry. 2015;20(5):647-56.
    • Sulem P, Gudbjartsson DF, Geller F, Prokopenko I, Feenstra B, Aben KK, et al. Sequence variants at CYP1A1-CYP1A2 and AHR associate with coffee consumption. Hum Mol Genet. 2011;20(10):2071-7.
    • Corchero J, Pimprale S, Kimura S, Gonzalez FJ. Organization of the CYP1A cluster on human chromosome 15: implications for gene regulation. Pharmacogenetics. 2001;11(1):1-6.
    • Amin N, Byrne E, Johnson J, Chenevix-Trench G, Walter S, Nolte IM, et al. Genome-wide association analysis of coffee drinking suggests association with CYP1A1/CYP1A2 and NRCAM. Mol Psychiatry. 2012;17(11):1116-29.
    • Sachse C, Brockmoller J, Bauer S, Roots I. Functional significance of a C–>A polymorphism in intron 1 of the cytochrome P450 CYP1A2 gene tested with caffeine. Br J Clin Pharmacol. 1999;47(4):445-9.
    • Murray S, Lake BG, Gray S, Edwards AJ, Springall C, Bowey EA, et al. Effect of cruciferous vegetable consumption on heterocyclic aromatic amine metabolism in man. Carcinogenesis. 2001;22(9):1413-20.
    • Denden S, Bouden B, Haj Khelil A, Ben Chibani J, Hamdaoui MH. Gender and ethnicity modify the association between the CYP1A2 rs762551 polymorphism and habitual coffee intake: evidence from a meta-analysis. Genetics and molecular research : GMR. 2016;15(2).
    • Childs E, Hohoff C, Deckert J, Xu K, Badner J, de Wit H. Association between ADORA2A and DRD2 polymorphisms and caffeine-induced anxiety. Neuropsychopharmacology. 2008;33(12):2791-800.
    • Nova P, Hernandez B, Ptolemy AS, Zeitzer JM. Modeling caffeine concentrations with the Stanford Caffeine Questionnaire: preliminary evidence for an interaction of chronotype with the effects of caffeine on sleep. Sleep Med. 2012;13(4):362-7.
    • Renda G, Zimarino M, Antonucci I, Tatasciore A, Ruggieri B, Bucciarelli T, et al. Genetic determinants of blood pressure responses to caffeine drinking. Am J Clin Nutr. 2012;95(1):241-8.
    • Retey JV, Adam M, Khatami R, Luhmann UF, Jung HH, Berger W, et al. A genetic variation in the adenosine A2A receptor gene (ADORA2A) contributes to individual sensitivity to caffeine effects on sleep. Clin Pharmacol Ther. 2007;81(5):692-8.
    • Rogers PJ, Hohoff C, Heatherley SV, Mullings EL, Maxfield PJ, Evershed RP, et al. Association of the anxiogenic and alerting effects of caffeine with ADORA2A and ADORA1 polymorphisms and habitual level of caffeine consumption. Neuropsychopharmacology. 2010;35(9):1973-83.
  2. SENSITIVITIES & INTOLERANCES
    • Coffee, Caffeine Genetics C, Cornelis MC, Byrne EM, Esko T, Nalls MA, et al. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption. Mol Psychiatry. 2015;20(5):647-56.
    • Sulem P, Gudbjartsson DF, Geller F, Prokopenko I, Feenstra B, Aben KK, et al. Sequence variants at CYP1A1-CYP1A2 and AHR associate with coffee consumption. Hum Mol Genet. 2011;20(10):2071-7.
    • Corchero J, Pimprale S, Kimura S, Gonzalez FJ. Organization of the CYP1A cluster on human chromosome 15: implications for gene regulation. Pharmacogenetics. 2001;11(1):1-6.
    • Amin N, Byrne E, Johnson J, Chenevix-Trench G, Walter S, Nolte IM, et al. Genome-wide association analysis of coffee drinking suggests association with CYP1A1/CYP1A2 and NRCAM. Mol Psychiatry. 2012;17(11):1116-29.
    • Sachse C, Brockmoller J, Bauer S, Roots I. Functional significance of a C–>A polymorphism in intron 1 of the cytochrome P450 CYP1A2 gene tested with caffeine. Br J Clin Pharmacol. 1999;47(4):445-9.
    • Murray S, Lake BG, Gray S, Edwards AJ, Springall C, Bowey EA, et al. Effect of cruciferous vegetable consumption on heterocyclic aromatic amine metabolism in man. Carcinogenesis. 2001;22(9):1413-20.
    • Denden S, Bouden B, Haj Khelil A, Ben Chibani J, Hamdaoui MH. Gender and ethnicity modify the association between the CYP1A2 rs762551 polymorphism and habitual coffee intake: evidence from a meta-analysis. Genetics and molecular research : GMR. 2016;15(2).
    • Childs E, Hohoff C, Deckert J, Xu K, Badner J, de Wit H. Association between ADORA2A and DRD2 polymorphisms and caffeine-induced anxiety. Neuropsychopharmacology. 2008;33(12):2791-800.
    • Nova P, Hernandez B, Ptolemy AS, Zeitzer JM. Modeling caffeine concentrations with the Stanford Caffeine Questionnaire: preliminary evidence for an interaction of chronotype with the effects of caffeine on sleep. Sleep Med. 2012;13(4):362-7.
    • Renda G, Zimarino M, Antonucci I, Tatasciore A, Ruggieri B, Bucciarelli T, et al. Genetic determinants of blood pressure responses to caffeine drinking. Am J Clin Nutr. 2012;95(1):241-8.
    • Retey JV, Adam M, Khatami R, Luhmann UF, Jung HH, Berger W, et al. A genetic variation in the adenosine A2A receptor gene (ADORA2A) contributes to individual sensitivity to caffeine effects on sleep. Clin Pharmacol Ther. 2007;81(5):692-8.
    • Rogers PJ, Hohoff C, Heatherley SV, Mullings EL, Maxfield PJ, Evershed RP, et al. Association of the anxiogenic and alerting effects of caffeine with ADORA2A and ADORA1 polymorphisms and habitual level of caffeine consumption. Neuropsychopharmacology. 2010;35(9):1973-83.
    • Begas E, Kouvaras E, Tsakalof A, Papakosta S, Asprodini EK. In vivo evaluation of CYP1A2, CYP2A6, NAT-2 and xanthine oxidase activities in a Greek population sample by the RP-HPLC monitoring of caffeine metabolic ratios. Biomed Chromatogr. 2007;21(2):190-200.
    • Colares-Bento FC, Souza VC, Toledo JO, Moraes CF, Alho CS, Lima RM, et al. Implication of the G145C polymorphism (rs713598) of the TAS2r38 gene on food consumption by Brazilian older women. Arch Gerontol Geriatr. 2012;54(2):e13-8.
    • Perna S, Riva A, Nicosanti G, Carrai M, Barale R, Vigo B, et al. Association of the bitter taste receptor gene TAS2R38 (polymorphism RS713598) with sensory responsiveness, food preferences, biochemical parameters and body-composition markers. A cross-sectional study in Italy. Int J Food Sci Nutr. 2018;69(2):245-52.
    • Allen AL, McGeary JE, Hayes JE. Polymorphisms in TRPV1 and TAS2Rs associate with sensations from sampled ethanol. Alcoholism, clinical and experimental research. 2014;38(10):2550-60.
    • Inoue H, Kuwano T, Yamakawa-Kobayashi K, Waguri T, Nakano T, Suzuki Y. Perceived 6-n-Propylthiouracil (PROP) Bitterness Is Associated with Dietary Sodium Intake in Female Japanese College Students. J Nutr Sci Vitaminol (Tokyo). 2017;63(3):167-73.
    • Duffy VB, Davidson AC, Kidd JR, Kidd KK, Speed WC, Pakstis AJ, et al. Bitter receptor gene (TAS2R38), 6-n-propylthiouracil (PROP) bitterness and alcohol intake. Alcoholism, clinical and experimental research. 2004;28(11):1629-37.
    • Wolfle U, Elsholz FA, Kersten A, Haarhaus B, Schumacher U, Schempp CM. Expression and Functional Activity of the Human Bitter Taste Receptor TAS2R38 in Human Placental Tissues and JEG-3 Cells. Molecules. 2016;21(3):306.
    • Kim UK, Wooding S, Riaz N, Jorde LB, Drayna D. Variation in the human TAS1R taste receptor genes. Chem Senses. 2006;31(7):599-611.
    • Eny KM, Wolever TM, Corey PN, El-Sohemy A. Genetic variation in TAS1R2 (Ile191Val) is associated with consumption of sugars in overweight and obese individuals in 2 distinct populations. Am J Clin Nutr. 2010;92(6):1501-10.
    • Potier M, Darcel N, Tome D. Protein, amino acids and the control of food intake. Curr Opin Clin Nutr Metab Care. 2009;12(1):54-8.
    • Kulkarni GV, Chng T, Eny KM, Nielsen D, Wessman C, El-Sohemy A. Association of GLUT2 and TAS1R2 genotypes with risk for dental caries. Caries Res. 2013;47(3):219-25.
    • Haznedaroglu E, Koldemir-Gunduz M, Bakir-Coskun N, Bozkus HM, Cagatay P, Susleyici-Duman B, et al. Association of sweet taste receptor gene polymorphisms with dental caries experience in school children. Caries Res. 2015;49(3):275-81.
    • Melis M, Tomassini Barbarossa I. Taste Perception of Sweet, Sour, Salty, Bitter, and Umami and Changes Due to l-Arginine Supplementation, as a Function of Genetic Ability to Taste 6-n-Propylthiouracil. Nutrients. 2017;9(6).
    • Low YQ, Lacy K, Keast R. The role of sweet taste in satiation and satiety. Nutrients. 2014;6(9):3431-50.
    • Wang F, Song X, Zhou L, Liang G, Huang F, Jiang G, et al. The downregulation of sweet taste receptor signaling in enteroendocrine L-cells mediates 3-deoxyglucosone-induced attenuation of high glucose-stimulated GLP-1 secretion. Arch Physiol Biochem. 2017:1-6.
    • Felder RA, Jose PA. Mechanisms of disease: the role of GRK4 in the etiology of essential hypertension and salt sensitivity. Nat Clin Pract Nephrol. 2006;2(11):637-50.
    • Montasser ME, Shimmin LC, Gu D, Chen J, Gu C, Kelly TN, et al. Variation in genes that regulate blood pressure are associated with glomerular filtration rate in Chinese. PLoS One. 2014;9(3):e92468.
    • Sanada H, Jones JE, Jose PA. Genetics of salt-sensitive hypertension. Curr Hypertens Rep. 2011;13(1):55-66.
    • Sanada H, Yatabe J, Midorikawa S, Hashimoto S, Watanabe T, Moore JH, et al. Single-nucleotide polymorphisms for diagnosis of salt-sensitive hypertension. Clin Chem. 2006;52(3):352-60.
    • Rayner B, Ramesar R, Steyn K, Levitt N, Lombard C, Charlton K. G-protein-coupled receptor kinase 4 polymorphisms predict blood pressure response to dietary modification in Black patients with mild-to-moderate hypertension. J Hum Hypertens. 2012;26(5):334-9.
    • Lee M, Kim MK, Kim SM, Park H, Park CG, Park HK. Gender-based differences on the association between salt-sensitive genes and obesity in Korean children aged between 8 and 9 years. PLoS One. 2015;10(3):e0120111.
    • Luczak SE, Pandika D, Shea SH, Eng MY, Liang T, Wall TL. ALDH2 and ADH1B interactions in retrospective reports of low-dose reactions and initial sensitivity to alcohol in Asian American college students. Alcoholism, clinical and experimental research. 2011;35(7):1238-45.
    • Yokoyama M, Yokoyama A, Yokoyama T, Funazu K, Hamana G, Kondo S, et al. Hangover susceptibility in relation to aldehyde dehydrogenase-2 genotype, alcohol flushing, and mean corpuscular volume in Japanese workers. Alcoholism, clinical and experimental research. 2005;29(7):1165-71.
    • Zhang GH, Mai RQ, Huang B. Meta-analysis of ADH1B and ALDH2 polymorphisms and esophageal cancer risk in China. World J Gastroenterol. 2010;16(47):6020-5.
    • Chen CC, Lu RB, Chen YC, Wang MF, Chang YC, Li TK, et al. Interaction between the functional polymorphisms of the alcohol-metabolism genes in protection against alcoholism. Am J Hum Genet. 1999;65(3):795-807.
    • Hashibe M, Boffetta P, Zaridze D, Shangina O, Szeszenia-Dabrowska N, Mates D, et al. Evidence for an important role of alcohol- and aldehyde-metabolizing genes in cancers of the upper aerodigestive tract. Cancer Epidemiol Biomarkers Prev. 2006;15(4):696-703.
    • Lee CH, Lee JM, Wu DC, Goan YG, Chou SH, Wu IC, et al. Carcinogenetic impact of ADH1B and ALDH2 genes on squamous cell carcinoma risk of the esophagus with regard to the consumption of alcohol, tobacco and betel quid. Int J Cancer. 2008;122(6):1347-56.
    • _Guo H, Zhang G, Mai R. Alcohol dehydrogenase-1B Arg47His polymorphism and upper aerodigestive tract cancer risk: a meta-analysis including 24,252 subjects. Alcoholism, clinical and experimental research. 2012;36(2):272-8.
    • Jones BL, Raga TO, Liebert A, Zmarz P, Bekele E, Danielsen ET, et al. Diversity of lactase persistence alleles in Ethiopia: signature of a soft selective sweep. Am J Hum Genet. 2013;93(3):538-44.
    • Baffour-Awuah NY, Fleet S, Montgomery RK, Baker SS, Butler JL, Campbell C, et al. Functional significance of single nucleotide polymorphisms in the lactase gene in diverse US patients and evidence for a novel lactase persistence allele at -13909 in those of European ancestry. J Pediatr Gastroenterol Nutr. 2015;60(2):182-91.
    • Smith GD, Lawlor DA, Timpson NJ, Baban J, Kiessling M, Day IN, et al. Lactase persistence-related genetic variant: population substructure and health outcomes. Eur J Hum Genet. 2009;17(3):357-67.
    • Mottes M, Belpinati F, Milani M, Saccomandi D, Petrelli E, Calacoci M, et al. Genetic testing for adult-type hypolactasia in Italian families. Clin Chem Lab Med. 2008;46(7):980-4.
    • Marton A, Xue X, Szilagyi A. Meta-analysis: the diagnostic accuracy of lactose breath hydrogen or lactose tolerance tests for predicting the North European lactase polymorphism C/T-13910. Aliment Pharmacol Ther. 2012;35(4):429-40.
  3. VITAMINAS, MINERALS & OTHER NUTRIENTS
    • Nazki FH, Sameer AS, Ganaie BA. Folate: metabolism, genes, polymorphisms and the associated diseases. Gene. 2014;533(1):11-20.
    • Frosst P, Blom HJ, Milos R, Goyette P, Sheppard CA, Matthews RG, et al. A candidate genetic risk factor for vascular disease: a common mutation in methylenetetrahydrofolate reductase. Nat Genet. 1995;10(1):111-3.
    • Chango A, Boisson F, Barbe F, Quilliot D, Droesch S, Pfister M, et al. The effect of 677C–>T and 1298A–>C mutations on plasma homocysteine and 5,10-methylenetetrahydrofolate reductase activity in healthy subjects. Br J Nutr. 2000;83(6):593-6.
    • Molloy AM, Daly S, Mills JL, Kirke PN, Whitehead AS, Ramsbottom D, et al. Thermolabile variant of 5,10-methylenetetrahydrofolate reductase associated with low red-cell folates: implications for folate intake recommendations. Lancet. 1997;349(9065):1591-3.
    • Khandanpour N, Willis G, Meyer FJ, Armon MP, Loke YK, Wright AJ, et al. Peripheral arterial disease and methylenetetrahydrofolate reductase (MTHFR) C677T mutations: A case-control study and meta-analysis. J Vasc Surg. 2009;49(3):711-8.
    • van der Put NM, Gabreels F, Stevens EM, Smeitink JA, Trijbels FJ, Eskes TK, et al. A second common mutation in the methylenetetrahydrofolate reductase gene: an additional risk factor for neural-tube defects? Am J Hum Genet. 1998;62(5):1044-51.
    • Cabo R, Hernes S, Slettan A, Haugen M, Ye S, Blomhoff R, et al. Effects of polymorphisms in endothelial nitric oxide synthase and folate metabolizing genes on the concentration of serum nitrate, folate, and plasma total homocysteine after folic acid supplementation: a double-blind crossover study. Nutrition (Burbank, Los Angeles County, Calif). 2015;31(2):337-44.
    • McNulty H, Dowey le RC, Strain JJ, Dunne A, Ward M, Molloy AM, et al. Riboflavin lowers homocysteine in individuals homozygous for the MTHFR 677C->T polymorphism. Circulation. 2006;113(1):74-80.
    • Asefi M, Vaisi-Raygani A, Khodarahmi R, Nemati H, Rahimi Z, Vaisi-Raygani H, et al. Methylentetrahydrofolatereductase (rs1801133) polymorphism and psoriasis: contribution to oxidative stress, lipid peroxidation and correlation with vascular adhesion protein 1, preliminary report. J Eur Acad Dermatol Venereol. 2014;28(9):1192-8.
    • Neuhaus P, Bechstein WO, Blumhardt G, Steffen R. Management of portal venous thrombosis in hepatic transplant recipients. Surg Gynecol Obstet. 1990;171(3):251-2.
    • Colson NJ, Naug HL, Nikbakht E, Zhang P, McCormack J. The impact of MTHFR 677 C/T genotypes on folate status markers: a meta-analysis of folic acid intervention studies. Eur J Nutr. 2015.
    • Yadav U, Kumar P, Yadav SK, Mishra OP, Rai V. “Polymorphisms in folate metabolism genes as maternal risk factor for neural tube defects: an updated meta-analysis”. Metab Brain Dis. 2015;30(1):7-24.
    • Fohr IP, Prinz-Langenohl R, Bronstrup A, Bohlmann AM, Nau H, Berthold HK, et al. 5,10-Methylenetetrahydrofolate reductase genotype determines the plasma homocysteine-lowering effect of supplementation with 5-methyltetrahydrofolate or folic acid in healthy young women. Am J Clin Nutr. 2002;75(2):275-82.
    • Lamers Y, Prinz-Langenohl R, Moser R, Pietrzik K. Supplementation with [6S]-5-methyltetrahydrofolate or folic acid equally reduces plasma total homocysteine concentrations in healthy women. Am J Clin Nutr. 2004;79(3):473-8.
    • Venn BJ, Green TJ, Moser R, Mann JI. Comparison of the effect of low-dose supplementation with L-5-methyltetrahydrofolate or folic acid on plasma homocysteine: a randomized placebo-controlled study. Am J Clin Nutr. 2003;77(3):658-62.
    • Venn BJ, Green TJ, Moser R, McKenzie JE, Skeaff CM, Mann J. Increases in blood folate indices are similar in women of childbearing age supplemented with [6S]-5-methyltetrahydrofolate and folic acid. J Nutr. 2002;132(11):3353-5.
    • Prinz-Langenohl R, Bramswig S, Tobolski O, Smulders YM, Smith DE, Finglas PM, et al. [6S]-5-methyltetrahydrofolate increases plasma folate more effectively than folic acid in women with the homozygous or wild-type 677C–>T polymorphism of methylenetetrahydrofolate reductase. Br J Pharmacol. 2009;158(8):2014-21.
    • Hekmatdoost A, Vahid F, Yari Z, Sadeghi M, Eini-Zinab H, Lakpour N, et al. Methyltetrahydrofolate vs Folic Acid Supplementation in Idiopathic Recurrent Miscarriage with Respect to Methylenetetrahydrofolate Reductase C677T and A1298C Polymorphisms: A Randomized Controlled Trial. PLoS One. 2015;10(12):e0143569.
    • Wilson CP, McNulty H, Ward M, Strain JJ, Trouton TG, Hoeft BA, et al. Blood pressure in treated hypertensive individuals with the MTHFR 677TT genotype is responsive to intervention with riboflavin: findings of a targeted randomized trial. Hypertension. 2013;61(6):1302-8.
    • Wilson CP, Ward M, McNulty H, Strain JJ, Trouton TG, Horigan G, et al. Riboflavin offers a targeted strategy for managing hypertension in patients with the MTHFR 677TT genotype: a 4-y follow-up. Am J Clin Nutr. 2012;95(3):766-72.
    • Hazra A, Kraft P, Lazarus R, Chen C, Chanock SJ, Jacques P, et al. Genome-wide significant predictors of metabolites in the one-carbon metabolism pathway. Hum Mol Genet. 2009;18(23):4677-87.
    • Tanaka T, Scheet P, Giusti B, Bandinelli S, Piras MG, Usala G, et al. Genome-wide association study of vitamin B6, vitamin B12, folate, and homocysteine blood concentrations. Am J Hum Genet. 2009;84(4):477-82.
    • Hazra A, Kraft P, Selhub J, Giovannucci EL, Thomas G, Hoover RN, et al. Common variants of FUT2 are associated with plasma vitamin B12 levels. Nat Genet. 2008;40(10):1160-2.
    • Bustamante M, Standl M, Bassat Q, Vilor-Tejedor N, Medina-Gomez C, Bonilla C, et al. A genome-wide association meta-analysis of diarrhoeal disease in young children identifies FUT2 locus and provides plausible biological pathways. Hum Mol Genet. 2016;25(18):4127-42.
    • Leung WC, Hessel S, Meplan C, Flint J, Oberhauser V, Tourniaire F, et al. Two common single nucleotide polymorphisms in the gene encoding beta-carotene 15,15′-monoxygenase alter beta-carotene metabolism in female volunteers. FASEB J. 2009;23(4):1041-53.
    • Lietz G, Oxley A, Leung W, Hesketh J. Single nucleotide polymorphisms upstream from the beta-carotene 15,15′-monoxygenase gene influence provitamin A conversion efficiency in female volunteers. J Nutr. 2012;142(1):161S-5S.
    • Amir Shaghaghi M, Bernstein CN, Serrano Leon A, El-Gabalawy H, Eck P. Polymorphisms in the sodium-dependent ascorbate transporter gene SLC23A1 are associated with susceptibility to Crohn disease. Am J Clin Nutr. 2014;99(2):378-83.
    • Duell EJ, Lujan-Barroso L, Llivina C, Munoz X, Jenab M, Boutron-Ruault MC, et al. Vitamin C transporter gene (SLC23A1 and SLC23A2) polymorphisms, plasma vitamin C levels, and gastric cancer risk in the EPIC cohort. Genes Nutr. 2013;8(6):549-60.
    • Kobylecki CJ, Afzal S, Davey Smith G, Nordestgaard BG. Genetically high plasma vitamin C, intake of fruit and vegetables, and risk of ischemic heart disease and all-cause mortality: a Mendelian randomization study. Am J Clin Nutr. 2015;101(6):1135-43.
    • Timpson NJ, Forouhi NG, Brion MJ, Harbord RM, Cook DG, Johnson P, et al. Genetic variation at the SLC23A1 locus is associated with circulating concentrations of L-ascorbic acid (vitamin C): evidence from 5 independent studies with >15,000 participants. Am J Clin Nutr. 2010;92(2):375-82.
    • Ahn J, Yu K, Stolzenberg-Solomon R, Simon KC, McCullough ML, Gallicchio L, et al. Genome-wide association study of circulating vitamin D levels. Hum Mol Genet. 2010;19(13):2739-45.
    • Wang TJ, Zhang F, Richards JB, Kestenbaum B, van Meurs JB, Berry D, et al. Common genetic determinants of vitamin D insufficiency: a genome-wide association study. Lancet. 2010;376(9736):180-8.
    • Macdonald HM, McGuigan FE, Stewart A, Black AJ, Fraser WD, Ralston S, et al. Large-scale population-based study shows no evidence of association between common polymorphism of the VDR gene and BMD in British women. J Bone Miner Res. 2006;21(1):151-62.
    • Salamone LM, Ferrell R, Black DM, Palermo L, Epstein RS, Petro N, et al. The association between vitamin D receptor gene polymorphisms and bone mineral density at the spine, hip and whole-body in premenopausal women. Osteoporos Int. 1996;6(1):63-8.
    • Li Y, Xi B, Li K, Wang C. Association between vitamin D receptor gene polymorphisms and bone mineral density in Chinese women. Mol Biol Rep. 2012;39(5):5709-17.
    • Pouresmaeili F, Jamshidi J, Azargashb E, Samangouee S. Association between Vitamin D Receptor Gene BsmI Polymorphism and Bone Mineral Density in A Population of 146 Iranian Women. Cell J. 2013;15(1):75-82.
    • Chatzipapas C, Boikos S, Drosos GI, Kazakos K, Tripsianis G, Serbis A, et al. Polymorphisms of the vitamin D receptor gene and stress fractures. Horm Metab Res. 2009;41(8):635-40.
    • Gaffney-Stomberg E, Lutz LJ, Shcherbina A, Ricke DO, Petrovick M, Cropper TL, et al. Association Between Single Gene Polymorphisms and Bone Biomarkers and Response to Calcium and Vitamin D Supplementation in Young Adults Undergoing Military Training. J Bone Miner Res. 2017;32(3):498-507.
    • Touvier M, Deschasaux M, Montourcy M, Sutton A, Charnaux N, Kesse-Guyot E, et al. Determinants of vitamin D status in Caucasian adults: influence of sun exposure, dietary intake, sociodemographic, lifestyle, anthropometric, and genetic factors. J Invest Dermatol. 2015;135(2):378-88.
    • McClung JP, Karl JP. Vitamin D and stress fracture: the contribution of vitamin D receptor gene polymorphisms. Nutr Rev. 2010;68(6):365-9.
    • Jia F, Sun RF, Li QH, Wang DX, Zhao F, Li JM, et al. Vitamin D receptor BsmI polymorphism and osteoporosis risk: a meta-analysis from 26 studies. Genet Test Mol Biomarkers. 2013;17(1):30-4.
    • Lemaitre RN, Tanaka T, Tang W, Manichaikul A, Foy M, Kabagambe EK, et al. Genetic loci associated with plasma phospholipid n-3 fatty acids: a meta-analysis of genome-wide association studies from the CHARGE Consortium. PLoS Genet. 2011;7(7):e1002193.
    • Dumont J, Goumidi L, Grenier-Boley B, Cottel D, Marecaux N, Montaye M, et al. Dietary linoleic acid interacts with FADS1 genetic variability to modulate HDL-cholesterol and obesity-related traits. Clin Nutr. 2017.
    • Bokor S, Dumont J, Spinneker A, Gonzalez-Gross M, Nova E, Widhalm K, et al. Single nucleotide polymorphisms in the FADS gene cluster are associated with delta-5 and delta-6 desaturase activities estimated by serum fatty acid ratios. J Lipid Res. 2010;51(8):2325-33.
    • AlSaleh A, Maniou Z, Lewis FJ, Hall WL, Sanders TA, O’Dell SD. Genetic predisposition scores for dyslipidaemia influence plasma lipid concentrations at baseline, but not the changes after controlled intake of n-3 polyunsaturated fatty acids. Genes Nutr. 2014;9(4):412.
    • Pichler I, Minelli C, Sanna S, Tanaka T, Schwienbacher C, Naitza S, et al. Identification of a common variant in the TFR2 gene implicated in the physiological regulation of serum iron levels. Hum Mol Genet. 2011;20(6):1232-40.
    • Benyamin B, McRae AF, Zhu G, Gordon S, Henders AK, Palotie A, et al. Variants in TF and HFE explain approximately 40% of genetic variation in serum-transferrin levels. American journal of human genetics. 2009;84(1):60-5.
    • Blanco-Rojo R, Baeza-Richer C, Lopez-Parra AM, Perez-Granados AM, Brichs A, Bertoncini S, et al. Four variants in transferrin and HFE genes as potential markers of iron deficiency anaemia risk: an association study in menstruating women. Nutrition & metabolism. 2011;8:69.
    • Piao W, Wang L, Zhang T, Wang Z, Shangguan S, Sun J, et al. A single-nucleotide polymorphism in transferrin is associated with soluble transferrin receptor in Chinese adolescents. Asia Pac J Clin Nutr. 2017;26(6):1170-8.
    • Gichohi-Wainaina WN, Tanaka T, Towers GW, Verhoef H, Veenemans J, Talsma EF, et al. Associations between Common Variants in Iron-Related Genes with Haematological Traits in Populations of African Ancestry. PLoS One. 2016;11(6):e0157996.
    • Ji Y, Flower R, Hyland C, Saiepour N, Faddy H. Genetic factors associated with iron storage in Australian blood donors. Blood Transfus. 2016:1-7.
    • Gan W, Guan Y, Wu Q, An P, Zhu J, Lu L, et al. Association of TMPRSS6 polymorphisms with ferritin, hemoglobin, and type 2 diabetes risk in a Chinese Han population. Am J Clin Nutr. 2012;95(3):626-32.
    • An P, Wu Q, Wang H, Guan Y, Mu M, Liao Y, et al. TMPRSS6, but not TF, TFR2 or BMP2 variants are associated with increased risk of iron-deficiency anemia. Hum Mol Genet. 2012;21(9):2124-31.
    • Andersen S, Skorpen F. Variation in the COMT gene: implications for pain perception and pain treatment. Pharmacogenomics. 2009;10(4):669-84.
    • McLaren CE, Garner CP, Constantine CC, McLachlan S, Vulpe CD, Snively BM, et al. Genome-wide association study identifies genetic loci associated with iron deficiency. PLoS One. 2011;6(3):e17390.
  4. FITNESS & ACTIVITIES
    • Ahmetov, II, Vinogradova OL, Williams AG. Gene polymorphisms and fiber-type composition of human skeletal muscle. Int J Sport Nutr Exerc Metab. 2012;22(4):292-303.
    • Norman B, Esbjornsson M, Rundqvist H, Osterlund T, von Walden F, Tesch PA. Strength, power, fiber types, and mRNA expression in trained men and women with different ACTN3 R577X genotypes. J Appl Physiol (1985). 2009;106(3):959-65.
    • Del Coso J, Salinero JJ, Lara B, Gallo-Salazar C, Areces F, Puente C, et al. ACTN3 X-allele carriers had greater levels of muscle damage during a half-ironman. Eur J Appl Physiol. 2017;117(1):151-8.
    • Alfred T, Ben-Shlomo Y, Cooper R, Hardy R, Cooper C, Deary IJ, et al. ACTN3 genotype, athletic status, and life course physical capability: meta-analysis of the published literature and findings from nine studies. Hum Mutat. 2011;32(9):1008-18.
    • Karp JR. Muscle fiber types and training. National Strength and Conditioning Association. 2001;23(5):21-6.
    • Kikuchi N, Nakazato K. Effective utilization of genetic information for athletes and coaches: focus on ACTN3 R577X polymorphism. J Exerc Nutrition Biochem. 2015;19(3):157-64.
    • Pimenta EM, Coelho DB, Cruz IR, Morandi RF, Veneroso CE, de Azambuja Pussieldi G, et al. The ACTN3 genotype in soccer players in response to acute eccentric training. Eur J Appl Physiol. 2012;112(4):1495-503.
    • Gentil P, Pereira RW, Leite TK, Bottaro M. ACTN3 R577X Polymorphism and Neuromuscular Response to Resistance Training. J Sports Sci Med. 2011;10(2):393-9.
    • Ahmetov, II, Donnikov AE, Trofimov DY. Actn3 genotype is associated with testosterone levels of athletes. Biol Sport. 2014;31(2):105-8.
    • Gomez-Gallego F, Santiago C, Gonzalez-Freire M, Yvert T, Muniesa CA, Serratosa L, et al. The C allele of the AGT Met235Thr polymorphism is associated with power sports performance. Appl Physiol Nutr Metab. 2009;34(6):1108-11.
    • Miyamoto-Mikami E, Murakami H, Tsuchie H, Takahashi H, Ohiwa N, Miyachi M, et al. Lack of association between genotype score and sprint/power performance in the Japanese population. Journal of science and medicine in sport. 2017;20(1):98-103.
    • Zarebska A, Sawczyn S, Kaczmarczyk M, Ficek K, Maciejewska-Karlowska A, Sawczuk M, et al. Association of rs699 (M235T) polymorphism in the AGT gene with power but not endurance athlete status. J Strength Cond Res. 2013;27(10):2898-903.
    • Aleksandra Z, Zbigniew J, Waldemar M, Agata LD, Mariusz K, Marek S, et al. The AGT Gene M235T Polymorphism and Response of Power-Related Variables to Aerobic Training. J Sports Sci Med. 2016;15(4):616-24.
    • Fischer H, Esbjornsson M, Sabina RL, Stromberg A, Peyrard-Janvid M, Norman B. AMP deaminase deficiency is associated with lower sprint cycling performance in healthy subjects. J Appl Physiol (1985). 2007;103(1):315-22.
    • Norman B, Nygren AT, Nowak J, Sabina RL. The effect of AMPD1 genotype on blood flow response to sprint exercise. Eur J Appl Physiol. 2008;103(2):173-80.
    • Collins C. Resistance Training, Recovery and Genetics: AMPD1 the Gene for Recovery. Journal of Athletic Enhancement. 2017;06(02).
    • Cieszczyk P, Eider J, Ostanek M, Leonska-Duniec A, Ficek K, Kotarska K, et al. Is the C34T polymorphism of the AMPD1 gene associated with athlete performance in rowing? Int J Sports Med. 2011;32(12):987-91.
    • Cieszczyk P, Ostanek M, Leonska-Duniec A, Sawczuk M, Maciejewska A, Eider J, et al. Distribution of the AMPD1 C34T polymorphism in Polish power-oriented athletes. J Sports Sci. 2012;30(1):31-5.
    • Rico-Sanz J, Rankinen T, Joanisse DR, Leon AS, Skinner JS, Wilmore JH, et al. Associations between cardiorespiratory responses to exercise and the C34T AMPD1 gene polymorphism in the HERITAGE Family Study. Physiol Genomics. 2003;14(2):161-6.
    • Cheatham SW, Kolber MJ, Cain M, Lee M. THE EFFECTS OF SELF-MYOFASCIAL RELEASE USING A FOAM ROLL OR ROLLER MASSAGER ON JOINT RANGE OF MOTION, MUSCLE RECOVERY, AND PERFORMANCE: A SYSTEMATIC REVIEW. International journal of sports physical therapy. 2015;10(6):827-38.
    • Cheatham SW, Kolber MJ, Cain M, Lee M. The Effects of Self-Myofascial Release Using a Foam Roll or Roller Massager on Joint Range of Motion, Muscle Recovery, and Performance: A Systematic Review. Int J Sports Phys Ther. 2015;10(6):827-38.
    • Norman B, Mahnke-Zizelman DK, Vallis A, Sabina RL. Genetic and other determinants of AMP deaminase activity in healthy adult skeletal muscle. J Appl Physiol (1985). 1998;85(4):1273-8.
    • Rubio JC, Martin MA, Rabadan M, Gomez-Gallego F, San Juan AF, Alonso JM, et al. Frequency of the C34T mutation of the AMPD1 gene in world-class endurance athletes: does this mutation impair performance? J Appl Physiol (1985). 2005;98(6):2108-12.
    • Shiraev T, Barclay G. Evidence based exercise: Clinical benefits of high intensity interval training. Australian family physician. 2012;41(12):960.
    • Gineviciene V, Jakaitiene A, Pranculis A, Milasius K, Tubelis L, Utkus A. AMPD1 rs17602729 is associated with physical performance of sprint and power in elite Lithuanian athletes. BMC Genet. 2014;15:58.
    • Ahmetov, II, Williams AG, Popov DV, Lyubaeva EV, Hakimullina AM, Fedotovskaya ON, et al. The combined impact of metabolic gene polymorphisms on elite endurance athlete status and related phenotypes. Hum Genet. 2009;126(6):751-61.
    • Lucia A, Gomez-Gallego F, Barroso I, Rabadan M, Bandres F, San Juan AF, et al. PPARGC1A genotype (Gly482Ser) predicts exceptional endurance capacity in European men. J Appl Physiol (1985). 2005;99(1):344-8.
    • Eynon N, Meckel Y, Sagiv M, Yamin C, Amir R, Sagiv M, et al. Do PPARGC1A and PPARalpha polymorphisms influence sprint or endurance phenotypes? Scand J Med Sci Sports. 2010;20(1):e145-50.
    • Jin HJ, Hwang, I.W., Kim, K.C., Cho, H.I., Park, T.H., Shin, Y.A., Lee, H.S., Hwang, J.H., Kim, A.R., Lee, K.H., Shin, Y.E., Lee, J.Y., Kim, J.A., Choi, E.J., Kim, B.K., Sim, H.S., Kim, M.S., Kim, W. . Is there a relationship between PPARD T294C/PPARGC1A Gly482Ser variations and physical endurance performance in the Korean population? Genes & Genomics. 2016;38(4):389-95.
    • Maciejewska A, Sawczuk M, Cieszczyk P, Mozhayskaya IA, Ahmetov, II. The PPARGC1A gene Gly482Ser in Polish and Russian athletes. J Sports Sci. 2012;30(1):101-13.
    • Steinbacher P, Feichtinger RG, Kedenko L, Kedenko I, Reinhardt S, Schonauer AL, et al. The single nucleotide polymorphism Gly482Ser in the PGC-1alpha gene impairs exercise-induced slow-twitch muscle fibre transformation in humans. PLoS One. 2015;10(4):e0123881.
    • Baumert P, Lake MJ, Stewart CE, Drust B, Erskine RM. Genetic variation and exercise-induced muscle damage: implications for athletic performance, injury and ageing. Eur J Appl Physiol. 2016;116(9):1595-625.
    • Yamin C, Duarte JA, Oliveira JM, Amir O, Sagiv M, Eynon N, et al. IL6 (-174) and TNFA (-308) promoter polymorphisms are associated with systemic creatine kinase response to eccentric exercise. Eur J Appl Physiol. 2008;104(3):579-86.
    • Huuskonen A, Tanskanen M, Lappalainen J, Oksala N, Kyrolainen H, Atalay M. A common variation in the promoter region of interleukin-6 gene shows association with exercise performance. J Sports Sci Med. 2009;8(2):271-7.
    • Eider J, Cieszczyk P, Leonska-Duniec A, Maciejewska A, Sawczuk M, Ficek K, et al. Association of the 174 G/C polymorphism of the IL6 gene in Polish power-orientated athletes. J Sports Med Phys Fitness. 2013;53(1):88-92.
    • Ruiz JR, Buxens A, Artieda M, Arteta D, Santiago C, Rodriguez-Romo G, et al. The -174 G/C polymorphism of the IL6 gene is associated with elite power performance. Journal of science and medicine in sport. 2010;13(5):549-53.
    • Fishman D, Faulds G, Jeffery R, Mohamed-Ali V, Yudkin JS, Humphries S, et al. The effect of novel polymorphisms in the interleukin-6 (IL-6) gene on IL-6 transcription and plasma IL-6 levels, and an association with systemic-onset juvenile chronic arthritis. J Clin Invest. 1998;102(7):1369-76.
    • Rana BK, Flatt SW, Health DD, Pakiz B, Quintana EL, Natarajan L, et al. The IL-6 Gene Promoter SNP and Plasma IL-6 in Response to Diet Intervention. Nutrients. 2017;9(6).
    • Zakharyan R, Petrek M, Arakelyan A, Mrazek F, Atshemyan S, Boyajyan A. Interleukin-6 promoter polymorphism and plasma levels in patients with schizophrenia. Tissue Antigens. 2012;80(2):136-42.
    • Rawson ES, Clarkson PM, Tarnopolsky MA. Perspectives on Exertional Rhabdomyolysis. Sports Med. 2017;47(Suppl 1):33-49.
    • Collins M, Posthumus M, Schwellnus MP. The COL1A1 gene and acute soft tissue ruptures. Br J Sports Med. 2010;44(14):1063-4.
    • Wang C, Li H, Chen K, Wu B, Liu H. Association of polymorphisms rs1800012 in COL1A1 with sports-related tendon and ligament injuries: a meta-analysis. Oncotarget. 2017;8(16):27627-34.
    • Soligard T, Myklebust G, Steffen K, Holme I, Silvers H, Bizzini M, et al. Comprehensive warm-up programme to prevent injuries in young female footballers: cluster randomised controlled trial. BMJ. 2008;337:a2469.
    • Kelly AK. Anterior cruciate ligament injury prevention. Curr Sports Med Rep. 2008;7(5):255-62.
    • Gallo RA, Plakke M, Silvis ML. Common leg injuries of long-distance runners: anatomical and biomechanical approach. Sports Health. 2012;4(6):485-95.
    • Mandelbaum BR, Silvers HJ, Watanabe DS, Knarr JF, Thomas SD, Griffin LY, et al. Effectiveness of a neuromuscular and proprioceptive training program in preventing anterior cruciate ligament injuries in female athletes: 2-year follow-up. Am J Sports Med. 2005;33(7):1003-10.
    • Collins M, Mokone GG, September AV, van der Merwe L, Schwellnus MP. The COL5A1 genotype is associated with range of motion measurements. Scand J Med Sci Sports. 2009;19(6):803-10.
    • Lim ST, Kim CS, Kim WN, Min SK. The COL5A1 genotype is associated with range of motion. J Exerc Nutrition Biochem. 2015;19(2):49-53.
    • Altinisik J, Meric G, Erduran M, Ates O, Ulusal AE, Akseki D. The BstUI and DpnII Variants of the COL5A1 Gene Are Associated With Tennis Elbow. Am J Sports Med. 2015;43(7):1784-9.
    • September AV, Cook J, Handley CJ, van der Merwe L, Schwellnus MP, Collins M. Variants within the COL5A1 gene are associated with Achilles tendinopathy in two populations. Br J Sports Med. 2009;43(5):357-65.
    • O’Connell K, Posthumus M, Schwellnus MP, Collins M. Collagen genes and exercise-associated muscle cramping. Clin J Sport Med. 2013;23(1):64-9.
    • Aguilar AJ, DiStefano LJ, Brown CN, Herman DC, Guskiewicz KM, Padua DA. A dynamic warm-up model increases quadriceps strength and hamstring flexibility. J Strength Cond Res. 2012;26(4):1130-41.
    • Chan SP, Hong Y, Robinson PD. Flexibility and passive resistance of the hamstrings of young adults using two different static stretching protocols. Scand J Med Sci Sports. 2001;11(2):81-6.
    • Mohr AR, Long BC, Goad CL. Effect of foam rolling and static stretching on passive hip-flexion range of motion. Journal of sport rehabilitation. 2014;23(4):296-9.
    • Miller KC, Stone MS, Huxel KC, Edwards JE. Exercise-associated muscle cramps: causes, treatment, and prevention. Sports Health. 2010;2(4):279-83.
    • Abrahams S, Posthumus M, Collins M. A polymorphism in a functional region of the COL5A1 gene: association with ultraendurance-running performance and joint range of motion. Int J Sports Physiol Perform. 2014;9(3):583-90.
    • Posthumus M, Schwellnus MP, Collins M. The COL5A1 gene: a novel marker of endurance running performance. Med Sci Sports Exerc. 2011;43(4):584-9.
  5. PHARMACOGENOMICS & MEDICATIONS
    • Relling, M.V. and W.E. Evans, Pharmacogenomics in the clinic. Nature, 2015. 526: 343-50.
    • Swen J, Nijenhuis M, de Boer A, Grandia L, Maitland-van der Zee A, Mulder H et al. Pharmacogenetics: From Bench to Byte— An Update of Guidelines. Clin Pharmacol Ther. 2011;89(5):662-673.
    • Hicks J, Swen J, Thorn C, Sangkuhl K, Kharasch E, Ellingrod V et al. Clinical Pharmacogenetics Implementation Consortium Guideline for CYP2D6 and CYP2C19 Genotypes and Dosing of Tricyclic Antidepressants. Clin Pharmacol Ther. 2013;93(5):402-408.
    • Crews K, Gaedigk A, Dunnenberger H, Leeder J, Klein T, Caudle K et al. Clinical Pharmacogenetics Implementation Consortium Guidelines for Cytochrome P450 2D6 Genotype and Codeine Therapy: 2014 Update. Clin Pharmacol Ther. 2014;95(4):376-382.
    • Crews K, Gaedigk A, Dunnenberger H, Klein T, Shen D, Callaghan J et al. Clinical Pharmacogenetics Implementation Consortium (CPIC) Guidelines for Codeine Therapy in the Context of Cytochrome P450 2D6 (CYP2D6) Genotype. Clin Pharmacol Ther. 2011;91(2):321-326.
    • Shah R, Smith R. Addressing phenoconversion: the Achilles’ heel of personalized medicine. British Journal of Clinical Pharmacology. 2015;79(2):222-240.
    • Scott S, Sangkuhl K, Stein C, Hulot J, Mega J, Roden D et al. Clinical Pharmacogenetics Implementation Consortium Guidelines for CYP2C19 Genotype and Clopidogrel Therapy: 2013 Update. Clin Pharmacol Ther. 2013;94(3):317-323.
    • Hicks J, Bishop J, Sangkuhl K, Müller D, Ji Y, Leckband S et al. Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for CYP2D6 and CYP2C19 Genotypes and Dosing of Selective Serotonin Reuptake Inhibitors. Clinical Pharmacology & Therapeutics. 2015;98(2):127-134.
    • Schroth, W et al. JAMA 302(13):1429-1436 (2009). Association between CYP2D6 polymorphisms and outcomes among women with early stage breast cancer treated with Tamoxifen.
    • Walko, CM and Mcleod, H. Pharmacogenomics 13(6): 691-697 (2012). Use of CYP2D6 genotyping in practice: Tamoxifen dose adjustment.
    • Link E, Parish S, Armitage J, Bowman L, Heath S, Matsuda F, et al. SLCO1B1 variants and statin-induced myopathy-a genomewide study. N Eng J Med. 2008 Aug 21;359(8):789-99.
    • Ramsey LB, Johnson SG, Caudle KE, Haidar CE, Voora D, Wilke RA, et al. The Clinical Pharmacogenetics Implementation Consortium Guidelines for SLCO1B1 and Simvastatin-Induced Myopathy: 2014 Update. Clin Pharmacol Ther. Online publication 9 July 2014. doi:10.1038/clpt.2014.125
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    Your DNA defines you as a unique individual, so let's explore your internal universe.

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    XYMetrics has desktop and smartphone versions for users

    1. Desktop version (click here for instructions)
    2. Smartphone version (click here for instructions)

    Your DNA defines you as a unique individual, so let's explore your internal universe.

    Stay connected to your wellness goals with the always-on XYMetrics smartphone version.

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