Genomics and metabolomics of muscular mass in a community-based sample of UK females
暂无分享,去创建一个
[1] D. Cocchi,et al. Sarcopenia and Sarcopenic Obesity in Patients with Muscular Dystrophy , 2014, Front. Aging Neurosci..
[2] P. Xie,et al. GC-MS based metabolomics identification of possible novel biomarkers for schizophrenia in peripheral blood mononuclear cells. , 2014, Molecular bioSystems.
[3] John P. Overington,et al. An atlas of genetic influences on human blood metabolites , 2014, Nature Genetics.
[4] H. Deng,et al. Genome-Wide Association Study Identified Copy Number Variants Important for Appendicular Lean Mass , 2014, PloS one.
[5] P. Visscher,et al. Calculating statistical power in Mendelian randomization studies. , 2013, International journal of epidemiology.
[6] M. Pirmohamed,et al. SLCO1B1 Genetic Variant Associated With Statin-Induced Myopathy: A Proof-of-Concept Study Using the Clinical Practice Research Datalink , 2013, Clinical pharmacology and therapeutics.
[7] I. Deary,et al. Associations between a Polymorphism in the Pleiotropic GCKR and Age-Related Phenotypes : The HALCyon Programme , 2013 .
[8] H. Deng,et al. Suggestion of GLYAT gene underlying variation of bone size and body lean mass as revealed by a bivariate genome-wide association study , 2013, Human Genetics.
[9] Fabian J Theis,et al. Genome-wide association analyses identify 18 new loci associated with serum urate concentrations , 2012, Nature Genetics.
[10] Dorret I. Boomsma,et al. Sex Differences in Genetic Architecture of Complex Phenotypes? , 2012, PloS one.
[11] Alireza Moayyeri,et al. The UK Adult Twin Registry (TwinsUK Resource) , 2012, Twin Research and Human Genetics.
[12] T. Spector,et al. Effects of age on genetic influence on bone loss over 17 years in women: The Healthy Ageing Twin Study (HATS) , 2012, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[13] T. Spector,et al. Association of FTO gene variants with body composition in UK twins , 2012, Annals of human genetics.
[14] T. Spector,et al. A Genome-Wide Association Study of Female Sexual Dysfunction , 2012, PloS one.
[15] Xiangding Chen,et al. Bivariate Genome-Wide Association Analyses of Femoral Neck Bone Geometry and Appendicular Lean Mass , 2011, PloS one.
[16] Hui Shen,et al. Genome-wide association study of copy number variation identified gremlin1 as a candidate gene for lean body mass , 2011, Journal of Human Genetics.
[17] C. Gieger,et al. Human metabolic individuality in biomedical and pharmaceutical research , 2011, Nature.
[18] Peter Kovacs,et al. Combined proteomic and metabolomic profiling of serum reveals association of the complement system with obesity and identifies novel markers of body fat mass changes. , 2011, Journal of proteome research.
[19] D. Houston,et al. Does the amount of fat mass predict age-related loss of lean mass, muscle strength, and muscle quality in older adults? , 2011, The journals of gerontology. Series A, Biological sciences and medical sciences.
[20] K. Kinzler,et al. Profiling the effects of isocitrate dehydrogenase 1 and 2 mutations on the cellular metabolome , 2011, Proceedings of the National Academy of Sciences.
[21] A. Serpa Neto,et al. Relation of uric acid with components of metabolic syndrome before and after Roux-en-Y gastric bypass in morbidly obese subjects. , 2011, Arquivos brasileiros de endocrinologia e metabologia.
[22] Li-Rong Zhang,et al. CYP3AP1*3 Allele Is Associated With Lipid‐Lowering Efficacy of Simvastatin and Atorvastatin in Chinese Women , 2011, Journal of clinical pharmacology.
[23] T. Lundstedt,et al. Diagnostic properties of metabolic perturbations in rheumatoid arthritis , 2011, Arthritis Research & Therapy.
[24] L. Almasy,et al. Variance component methods for analysis of complex phenotypes. , 2010, Cold Spring Harbor protocols.
[25] J. Baeyens,et al. Sarcopenia: European consensus on definition and diagnosis , 2010, Age and ageing.
[26] Murielle Bochud,et al. Usefulness of Mendelian Randomization in Observational Epidemiology , 2010, International journal of environmental research and public health.
[27] P. Iynedjian. Molecular Physiology of Mammalian Glucokinase , 2008, Cellular and Molecular Life Sciences.
[28] F. Kronenberg,et al. Sex-Specific Association of the Putative Fructose Transporter SLC2A9 Variants With Uric Acid Levels Is Modified by BMI , 2008, Diabetes Care.
[29] R. Baumgartner,et al. Altered growth hormone, cortisol, and leptin secretion in healthy elderly persons with sarcopenia and mixed body composition phenotypes. , 2008, The journals of gerontology. Series A, Biological sciences and medical sciences.
[30] Geir Egil Eide,et al. Impact of lean mass and fat mass on bone mineral density: The Hordaland Health Study. , 2008, Maturitas.
[31] T. Spector,et al. Linkage of genes to total lean body mass in normal women. , 2007, The Journal of clinical endocrinology and metabolism.
[32] Yurii S. Aulchenko,et al. BIOINFORMATICS APPLICATIONS NOTE doi:10.1093/bioinformatics/btm108 Genetics and population analysis GenABEL: an R library for genome-wide association analysis , 2022 .
[33] M. Abney,et al. The sex-specific genetic architecture of quantitative traits in humans , 2006, Nature Genetics.
[34] Y. Benjamini,et al. Quantitative Trait Loci Analysis Using the False Discovery Rate , 2005, Genetics.
[35] K. Lohman,et al. Heritability of body composition measured by DXA in the diabetes heart study. , 2005, Obesity research.
[36] R. Ross,et al. Skeletal muscle cutpoints associated with elevated physical disability risk in older men and women. , 2004, American journal of epidemiology.
[37] T. Doherty. Invited review: Aging and sarcopenia. , 2003, Journal of applied physiology.
[38] T. Spector,et al. Genetic Influences on Muscle Strength, Lean Body Mass, and Bone Mineral Density: A Twin Study , 1997, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[39] Y. Moriwaki,et al. Close correlation between visceral fat accumulation and uric acid metabolism in healthy men. , 1997, Metabolism: clinical and experimental.
[40] R. Frankham. Introduction to quantitative genetics (4th edn): by Douglas S. Falconer and Trudy F.C. Mackay Longman, 1996. £24.99 pbk (xv and 464 pages) ISBN 0582 24302 5 , 1996 .
[41] K. Lange,et al. Univariate and bivariate analyses of cholesterol and triglyceride levels in pedigrees. , 1986, American journal of medical genetics.
[42] Cedric A. B. Smith,et al. Introduction to Quantitative Genetics , 1960 .
[43] M. Kubo,et al. GCK, GCKR polymorphisms and risk of chronic kidney disease in Japanese individuals: data from the J-MICC Study , 2013, Journal of Nephrology.
[44] Summer S. Han,et al. Nonsteroidal anti‐inflammatory drugs and other analgesic use and bladder cancer in northern New England , 2013, International journal of cancer.
[45] R. Santos,et al. Uric acid: A marker of increased cardiovascular risk. , 2009, Atherosclerosis.
[46] D. Thompson,et al. Aging and sarcopenia. , 2007, Journal of musculoskeletal & neuronal interactions.
[47] K. Nair,et al. Sarcopenia of aging and its metabolic impact. , 2005, Current topics in developmental biology.