12 results on '"B M Shields"'
Search Results
2. Science in clinical practice 1
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John M Dennis, B M Shields, E R Pearson, William Henley, Lauren R. Rodgers, Angus G. Jones, Michael N. Weedon, and Andrew T. Hattersley
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medicine.medical_specialty ,Endocrinology ,business.industry ,Endocrinology, Diabetes and Metabolism ,Internal Medicine ,Medicine ,Type 2 diabetes ,business ,Intensive care medicine ,medicine.disease - Published
- 2018
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3. 105RANDOM NON-FASTING C-PEPTIDE CAN BE USED AS A RISK ASSESSMENT TOOL FOR HYPOGLYCAEMIA IN ELDERLY NSULIN-TREATED PATIENTS WITH TYPE 2 DIABETES
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Beatrice Knight, Angus G. Jones, W D Strain, B M Shields, Pratik Choudhary, Timothy J. McDonald, Anita Hill, Andrew T. Hattersley, and Suzy Hope
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Aging ,medicine.medical_specialty ,C-peptide ,business.industry ,Risk management tools ,General Medicine ,Type 2 diabetes ,medicine.disease ,chemistry.chemical_compound ,chemistry ,Internal medicine ,medicine ,Geriatrics and Gerontology ,business ,Non fasting - Published
- 2017
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4. Factors determining penetrance in familial atypical haemolytic uraemic syndrome
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Roy Powell, Francis H Sansbury, Paul Warwicker, Judith A. Goodship, Valerie Wilson, Lisa Strain, Gilly Bromilow, Timothy H.J. Goodship, Peter D Turnpenny, A. J. Nicholls, Coralie Bingham, Heather J. Cordell, Lucy Smyth, and B M Shields
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Adult ,Male ,medicine.medical_specialty ,Penetrance ,Biology ,Atypical hemolytic uremic syndrome ,Genetics ,medicine ,Humans ,Allele ,Genetics (clinical) ,Aged ,Atypical Hemolytic Uremic Syndrome ,CD46 ,Haplotype ,Middle Aged ,medicine.disease ,Pedigree ,Factor H ,Child, Preschool ,Complement Factor H ,Mutation (genetic algorithm) ,Medical genetics ,Female - Abstract
Inherited abnormalities of complement are found in ∼60% of patients with atypical haemolytic uraemic syndrome (aHUS). Such abnormalities are not fully penetrant. In this study, we have estimated the penetrance of the disease in three families with a CFH mutation (c.3643CG; p. Arg1215Gly) in whom a common lineage is probable. 25 individuals have been affected with aHUS with three peaks of incidence-early childhood (n=6), early adulthood (n=11) and late adulthood (n=8). Eighteen individuals who have not developed aHUS carry the mutation.We estimated penetrance at the ages of 4, 27, 60 and 70 years as both a binary and a survival trait using MLINK and Mendel. We genotyped susceptibility factors in CFH, CD46 and CFHR1 in affected and unaffected carriers.We found that the estimates of penetrance at the age of 4 years ranged from0.01 to 0.10, at the age of 27 years from 0.16 to 0.29, at the age of 60 years from 0.39 to 0.51 and at the age of 70 years from 0.44 to 0.64. We found that the CFH haplotype on the allele not carrying the CFH mutation had a significant effect on disease penetrance. In this family, we did not find that the CD46 haplotypes had a significant effect on penetrance.
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- 2014
5. The impact of insulin administration during the mixed meal tolerance test
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R E J, Besser, A G, Jones, T J, McDonald, B M, Shields, B A, Knight, and A T, Hattersley
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Adult ,Blood Glucose ,Glycated Hemoglobin ,Male ,Adolescent ,C-Peptide ,Fasting ,Glucose Tolerance Test ,Middle Aged ,Young Adult ,Diabetes Mellitus, Type 1 ,Diabetes Mellitus, Type 2 ,England ,Hyperglycemia ,Insulin Secretion ,Humans ,Hypoglycemic Agents ,Insulin ,Female ,Age of Onset ,Meals - Abstract
The mixed meal tolerance test is the gold standard measure of endogenous insulin secretion. Practical issues limit the routine clinical use of this test, including omitting insulin prior to the ingestion of a high-carbohydrate liquid mixed meal, which can result in marked hyperglycaemia. We aimed to assess whether insulin omission is necessary during the mixed meal tolerance test and whether fasting C-peptide was a practical alternative to the test.Ninety-one adults with insulin-treated diabetes (Type 1 n = 56, Type 2 n = 35) underwent two mixed meal tolerance tests; one standard without insulin and one with the patient's usual morning insulin.The 90-min serum C-peptide was highly correlated in the standard mixed meal tolerance test and the test with insulin (r = 0.98, P0.0001). There was a 20% reduction in the peak C-peptide value when insulin was given {test with insulin [0.39 (0.01-1.16) vs. test without insulin 0.48 (0.01-1.36) nmol/l, P = 0.001]}, but the original serum C-peptide cut-off for significant endogenous insulin secretion (≥ 0.2 nmol/l) still correctly classified 90/91 patients (98% sensitivity/100% specificity). Fasting serum C-peptide was highly correlated to 90-min serum C-peptide during the test (r = 0.97, P0.0001). A fasting serum C-peptide ≥ 0.07 nmol/l was the optimal cut-off (100% sensitivity and 97% specificity) for significant endogenous insulin secretion (defined as 90-min stimulated serum C-peptide ≥ 0.2 nmol/l).Insulin omission may not always be necessary during a mixed meal tolerance test and fasting serum C-peptide may offer a practical alternative in insulin-treated patients.
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- 2012
6. Validation of a single-sample urinary C-peptide creatinine ratio as a reproducible alternative to serum C-peptide in patients with Type 2 diabetes
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P, Bowman, T J, McDonald, B M, Shields, B A, Knight, and A T, Hattersley
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Adult ,Male ,C-Peptide ,Reproducibility of Results ,Fasting ,Postprandial Period ,Diabetes Mellitus, Type 2 ,Predictive Value of Tests ,Creatinine ,Insulin Secretion ,Humans ,Insulin ,Female ,Biomarkers ,Glomerular Filtration Rate - Abstract
Serum C-peptide can be used in Type 2 diabetes as a measure of endogenous insulin secretion, but practicalities of collection limit its routine clinical use. Urine C-peptide creatinine ratio is a non-invasive alternative that is stable for at least 3 days at room temperature in boric acid preservative. We aimed to assess the utility of urine C-peptide creatinine ratio in individuals with Type 2 diabetes as an alternative to serum C-peptide.We assessed, in 77 individuals with Type 2 diabetes, the reproducibility of, and correlations between, fasting and postprandial urine C-peptide creatinine ratio and serum C-peptide, and the impact of renal impairment (estimated glomerular filtration rate60 ml min(-1) 1.73 m(-2)) on these correlations.Urine C-peptide creatinine ratio was at least as reproducible as serum C-peptide [fasting coefficient of variation mean (95% CI): 28 (21-35)% vs. 38 (26-59)% and 2-h post-meal 26 (18-33)% vs. 27 (20-34)%. Urine C-peptide creatinine ratio 2 h post-meal was correlated with stimulated serum C-peptide, both the 2-h value (r = 0.64, P0.001) and the 2-h area under the C-peptide curve (r = 0.63, P0.001). The association seen was similar in patients with and without moderate renal impairment (P = 0.6).In patients with Type 2 diabetes, a single urine C-peptide creatinine ratio is a stable, reproducible measure that is well correlated with serum C-peptide following meal stimulation, even if there is moderate renal impairment. Urine C-peptide creatinine ratio therefore has potential for use in clinical practice in the assessment of Type 2 diabetes.
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- 2011
7. A Common Haplotype of the Glucokinase Gene Alters Fasting Glucose and Birth Weight: Association in Six Studies and Population-Genetics Analyses
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Luigi Ferrucci, Michael N. Weedon, George Davey Smith, Andrew T. Hattersley, T. J. Wilkin, Anna Maria Corsi, Timothy M. Frayling, Susan M. Ring, Yoav Ben-Shlomo, Yudong Qian, Vanessa J. Clark, Marcus Pembrey, B M Shields, Bridget A. Knight, Anna Di Rienzo, Debbie A Lawlor, Shah Ebrahim, Nicholas J. Timpson, Linda D. Voss, Alison N. Jeffery, Brad S. Metcalf, Anna Murray, and David Melzer
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Adult ,Blood Glucose ,Male ,medicine.medical_specialty ,Linkage disequilibrium ,Offspring ,Birth weight ,Population ,030209 endocrinology & metabolism ,Type 2 diabetes ,Biology ,Polymorphism, Single Nucleotide ,Article ,Linkage Disequilibrium ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Genetic variation ,Glucokinase ,medicine ,Genetics ,Birth Weight ,Humans ,Genetics(clinical) ,Allele ,education ,Child ,Genetics (clinical) ,030304 developmental biology ,Aged ,2. Zero hunger ,0303 health sciences ,education.field_of_study ,Infant, Newborn ,Fasting ,medicine.disease ,Endocrinology ,Genetics, Population ,Haplotypes ,Epidemiologic Research Design ,Female - Abstract
Fasting glucose is associated with future risk of type 2 diabetes and ischemic heart disease and is tightly regulated despite considerable variation in quantity, type, and timing of food intake. In pregnancy, maternal fasting glucose concentration is an important determinant of offspring birth weight. The key determinant of fasting glucose is the enzyme glucokinase (GCK). Rare mutations of GCK cause fasting hyperglycemia and alter birth weight. The extent to which common variation of GCK explains normal variation of fasting glucose and birth weight is not known. We aimed to comprehensively define the role of variation of GCK in determination of fasting glucose and birth weight, using a tagging SNP (tSNP) approach and studying 19,806 subjects from six population-based studies. Using 22 tSNPs, we showed that the variant rs1799884 is associated with fasting glucose at all ages in the normal population and exceeded genomewide levels of significance ( P =10 −9 ). rs3757840 was also highly significantly associated with fasting glucose ( P =8×10 −7 ), but haplotype analysis revealed that this is explained by linkage disequilibrium ( r 2 =0.2) with rs1799884. A maternal A allele at rs1799884 was associated with a 32-g (95% confidence interval 11–53 g) increase in offspring birth weight ( P =.002). Genetic variation influencing birth weight may have conferred a selective advantage in human populations. We performed extensive population-genetics analyses to look for evidence of recent positive natural selection on patterns of GCK variation. However, we found no strong signature of positive selection. In conclusion, a comprehensive analysis of common variation of the glucokinase gene shows that this is the first gene to be reproducibly associated with fasting glucose and fetal growth.
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- 2006
8. P013: Are we missing hypoglycaemia in elderly people?
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P.J. Taylor, Andrew T. Hattersley, Suzy Hope, R. A. Oram, A.J. Chakera, and B M Shields
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Gerontology ,business.industry ,Medicine ,Elderly people ,Geriatrics and Gerontology ,business - Published
- 2014
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9. PMM.59 Maternal hypothyroxinaemia in pregnancy is associated with altered maternal metabolic parameters
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B Vaidya, B M Shields, and Beatrice Knight
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Gynecology ,education.field_of_study ,medicine.medical_specialty ,Pregnancy ,endocrine system diseases ,Placental abruption ,medicine.diagnostic_test ,business.industry ,Obstetrics ,Thyroid disease ,Population ,Obstetrics and Gynecology ,General Medicine ,medicine.disease ,Thyroid function tests ,Pediatrics, Perinatology and Child Health ,medicine ,Euthyroid ,Thyroid function ,business ,education ,Subclinical infection - Abstract
Background In euthyroid healthy adults thyroid function is known to be associated with obesity, insulin resistance, glycaemia, and dyslipidaemia. Little is known of similar associations in pregnancy, where maternal subclinical hypothyroidism or hypothyroxinaemia can have a detrimental effect on both mother and fetus.1 Aims To assess the associations between reduced thyroid function (subclinical hypothyroidism/ hypothyroxinaemia), and maternal metabolic parameters in a non-diabetic Caucasian pregnant population. Methods Detailed anthropometry and fasting biochemistry was obtained on 965 euthyroid Caucasian women with singleton, non-diabetic pregnancies recruited at 28 weeks gestation into the Exeter Family Study of Childhood Health (EFSOCH)2 Thyroid function tests (TSH, FT4 and FT3) and TPO antibodies were measured. Trimester specific reference ranges were identified.(3) We assessed the maternal metabolic parameters (BMI, FPG, triglycerides and insulin resistance (IR)) of those with and without mildly reduced thyroid function. Results 82 women had hypothyroxinaemia (FT4 3.mlU/l). There was no difference in the metabolic parameters between those with and without subclinical hypothyroidism. Women with hypothyroxinaemia had higher BMI (29.8 (25.3–35.0) vs. 27.4(23.5–31.9), p Conclusion Our study has identified that hypothyoxinaemia is associated with an altered metabolic profile. These findings may have implications for clinical care. References Breathnach FM, Donnelly J, Cooley SM, Geary M, Malone FD. Subclinical hypothyroidism as a risk factor for placental abruption: evidence from a low-risk primigravid population. Australian and New Zealand Journal of Obstetrics and Gynaecology. 2013 Dec;53(6):553–60 Knight B, Shields BM, and Hattersley AT. The Exeter Family Study of Childhood Health (EFSOCH): study protocol and methodology. Paediatric Perinatal Epidemiology 2006;20(2):172–9
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- 2014
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10. PMM.52 Lower circulating B12 in pregnancy is associated with higher maternal adiposity and insulin resistance in non-diabetic Caucasian women during and after pregnancy
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CR Yajnik, B M Shields, Andrew T. Hattersley, and Beatrice Knight
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medicine.medical_specialty ,Pregnancy ,business.industry ,Obstetrics and Gynecology ,Physiology ,General Medicine ,medicine.disease ,Micronutrient ,Obesity ,Malnutrition ,Endocrinology ,Insulin resistance ,Internal medicine ,Diabetes mellitus ,Pediatrics, Perinatology and Child Health ,medicine ,Gestation ,Vitamin B12 ,business - Abstract
Background Recent studies from India have suggested that low vitamin B12 ( 1 These associations may not be present in a Western European Caucasian population, where micronutrient deficiencies are thought to be less common. Aims To assess the associations between maternal adiposity and insulin resistance (IR) and circulating serum B12 levels in a non-diabetic pregnant Caucasian population. Methods Detailed anthropometric measurements and biochemistry data were available on 995 women recruited as part of the Exeter Family Study of Childhood Health. 2 Height, weight, sum of skin-fold thickness (SS) and fasting bloods were taken at 28 weeks of pregnancy (+/-5 days). A subset of 567 women was followed up at 5 years post pregnancy. Results The geometric mean (standard deviation range) serum concentration of B12 was 201 (159–263) pmol/l. 198(20%) had B12 2 ), IR(1.6 vs1.2) Triglycerides (2.3 vs. 2.0 mmol/l) and SS (58.2 vs 50.2 mm), p 2 ), SS(54.6 vs 46.7mm), and IR(0.97 vs 0.68), p Conclusions Our study has replicated the Indian findings of associations between lower serum B12 during pregnancy and higher adiposity and insulin resistance in this non-diabetic Caucasian population. These associations may represent micronutrient deficiencies resulting from poor quality diet or absorption problems associated with obesity. These findings may have important implications for fetal and maternal health in obese pregnancies. References Krishnaveni GV, et al . Low plasma vitamin B12 in pregnancy is associated with gestational ‘diabesity’ and later diabetes. Diabetologia 52(11):2350–8 Knight B, Shields BM, and Hattersley AT. The Exeter Family Study of Childhood Health (EFSOCH): study protocol and methodology. Paediatric Perinatal Epidemiology 2006;20(2):172–9
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- 2014
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11. Novel Loci for Adiponectin Levels and Their Influence on Type 2 Diabetes and Metabolic Traits: A Multi-Ethnic Meta-Analysis of 45,891 Individuals
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Seppo Koskinen, Christian Herder, Daniel I. Chasman, Andrew R. Wood, Jonna L. Grimsby, J.F. Wilson, Day Inm., Massimo Mangino, Gonneke Willemsen, Robert W. Mahley, Cristian Pattaro, Nicole L. Glazer, T.B. Harris, Irene Pichler, M S Sandhu, D. van Heemst, Christine Proença, Martha Ganser, Robert A. Hegele, Richa Saxena, Eleftheria Zeggini, Markku Laakso, Peter Kraft, Judith B. Borja, Karen L. Mohlke, J B Richards, de Geus Ejc., Robert Sladek, Cristen J. Willer, Samy Hadjadj, S.M. Boekholdt, Gina M. Peloso, Kijoung Song, Sutapa Mukherjee, Gudmar Thorleifsson, Winston Hide, Mark I. McCarthy, Ruth E. Pakyz, Marian Beekman, Ayellet V. Segrè, Inga Prokopenko, Ping An, George Dedoussis, Danielle Posthuma, Jeanette Erdmann, Simon J. Griffin, Nilesh J. Samani, Inke R. König, Frank B. Hu, Lokki M-L., David M. Evans, Xiaohui Li, Valgerdur Steinthorsdottir, Aimo Ruokonen, A Pouta, Kerrin S. Small, Cecilia M. Lindgren, O Le Bacquer, Xijing Han, Florian Kronenberg, E Katsareli, Christian Dina, S. Gabriel, Jochen Spranger, James S. Pankow, M. Kloppenburg, Penninx Bwjh., Torben Hansen, Josh Smith, Jennie Hui, Gordon H. Williams, Mark Seielstad, Ingrid B. Borecki, Weihua Zhang, Peter P. Pramstaller, Stephen J. Sharp, Neil R. Robertson, Zee Ryl., Mike Sampson, Angela Silveira, C.M. van Duijn, Anders Hamsten, Peter Shrader, Denis Rybin, Chen Y-Di., Gunnar Sigurdsson, Michael Stumvoll, Russel Tracy, Mark O. Goodarzi, Göran Hallmans, Michael R. Erdos, Valeriya Lyssenko, Juha Saharinen, Sven Bergmann, Jeffrey R. O'Connell, Debbie A Lawlor, Thomas Meitinger, Yvonne Böttcher, Jérôme Delplanque, Sarah G. Buxbaum, Silvia Naitza, Shah Ebrahim, Graham A. Hitman, Angelo Scuteri, Aroon D. Hingorani, Heribert Schunkert, François Pattou, Claudia Lamina, A L Elliott, Sekar Kathiresan, Dawn M. Waterworth, Jennifer A. Brody, Thomas Quertermous, Leena Peltonen, Josephine M. Egan, Daniel J. Rader, J F Peden, Yarnell Jwg., Daniel S. Pearson, Pfeiffer Afh., P S Chines, N Vogelzangs, Susan Redline, Alka M. Kanaya, T B Harris, J. V. van Vliet-Ostaptchouk, Ghislain Rocheleau, Rune R. Frants, Olga D. Carlson, James G. Wilson, Melissa Garcia, Ong Rt-H., Mark J. Caulfield, Tanya M. Teslovich, Loo B-M., Beatrice Knight, Andreas Ziegler, Claudia Langenberg, Yoon Shin Cho, Paul M. Ridker, Mark J. Rieder, Praveen Sethupathy, Bert Bravenboer, J. Viikari, Matt Neville, Ioannis M. Stylianou, Andrew Walley, Jarvelin M-R., Jarred B. McAteer, Ronald M. Krauss, Augustine Kong, Oluf Pedersen, Mark J. Daly, Andrew P. Morris, Anna F. Dominiczak, Stéphane Cauchi, Michael Boehnke, Christopher J. O'Donnell, Barbara Thorand, Peter M. Nilsson, Aaron Isaacs, Deborah A. Nickerson, Roza Blagieva, Mary F. Feitosa, Nicholas J. Wareham, Robert Roberts, J S Kooner, K W van Dijk, Tiinamaija Tuomi, Paul Scheet, Lynda M. Rose, Albert V. Smith, Rafn Benediktsson, Chiara Sabatti, Candace Guiducci, Lee M. Kaplan, Aki S. Havulinna, Toby Johnson, Samuli Ripatti, Erik Ingelsson, Mario A. Morken, Carl G. P. Platou, Anke Tönjes, Qi Sun, Narisu Narisu, S J Bumpstead, Jose M. Ordovas, Alan B. Feranil, L Groop, P Chines, Sara M. Willems, Perry Jrb., Matthew A. Allison, Jan Scott, Cécile Lecoeur, Kastelein Jjp., Herman A. Taylor, Anyuan Cao, Christopher J. Groves, Lincoln D. Stein, Laura J. Scott, John Beilby, Kristin G. Ardlie, Christopher S. Franklin, Yoav Ben-Shlomo, B M Shields, N J Timpson, Marco Orrù, Amélie Bonnefond, Kiran Musunuru, Murielle Bochud, Udo Seedorf, Yongmei Liu, Guillaume Lettre, Lee J-Y., Alan R. Shuldiner, Ryan P. Welch, David J. Hunter, John Whitfield, Klaus Strassburger, Khaw K-T., Hartikainen A-L., Gunnar Sigurðsson, Lu Qi, Richard N. Bergman, G M Lathrop, Sigrid W. Fouchier, T van Herpt, David S. Siscovick, Igor Rudan, Richard M. Watanabe, Themistocles L. Assimes, Nicholas G. Martin, Ozren Polasek, Dhiraj Varma, K Kim, Oliver Hofmann, Nicholas D. Hastie, S Bumpstead, Jose C. Florez, Fernando Rivadeneira, Katharine R. Owen, Braxton D. Mitchell, Alisa K. Manning, Abbas Dehghan, Bruce Bartholow Duncan, Cisca Wijmenga, Timo T. Valle, Jaakko Kaprio, Mika Kivimäki, B Shields, Laila Simpson, Tim D. Spector, Paul W. Franks, Guangju Zhai, María Teresa Martínez-Larrad, Janssens Acjw., Kim L. Ward, Inês Barroso, Xiuqing Guo, Rosa Maria Roccasecca, Zari Dastani, Reijo Laaksonen, Wilmar Igl, Vincent Mooser, Niels Grarup, Cornelia Huth, Christian Gieger, Fabio Marroni, Jaakko Tuomilehto, Doney Asf., Andrew C. Edmondson, Christian Fuchsberger, Meena Kumari, David M. Nathan, Reedik Mägi, Solomon K. Musani, U de Faire, Knut Borch-Johnsen, Masahiro Koseki, Giuseppe Paolisso, Norman Klopp, Caroline S. Fox, Nelson B. Freimer, Mika Kähönen, Peter Henneman, Diana Zelenika, K Willems-Vandijk, Steven A. McCarroll, Paul Elliott, Wichmann H-E., J. C. Bis, Nita G. Forouhi, Antti Jula, Witteman Jcm., Fredrik Karpe, Joseph Hung, Antje Fischer-Rosinsky, Eric J. Brunner, Elena Gonzalez, Soumya Raychaudhuri, Jian'an Luan, Josée Dupuis, Joshua C. Randall, Taesung Park, Francis S. Collins, Lori L. Bonnycastle, Andrew A. Hicks, Peter Kovacs, Thomas Illig, Maja Barbalić, David Couper, Jaspal S. Kooner, Damien C. Croteau-Chonka, Gavin Lucas, P J Wagner, Young-Jin Kim, Yurii S. Aulchenko, Aurelian Bidulescu, Ingrid Meulenbelt, Pilar Galan, Iris M. Heid, Michael N. Weedon, Serena Sanna, Sarah H. Wild, Hivert M-F., Patricia B. Munroe, Johan G. Eriksson, Teresa Ferreira, Robert A. Scott, A. Sandbaek, Kenneth Rice, Veronique Vitart, Xin Yuan, Leslie A. Lange, Hilma Holm, Jorge R. Kizer, Timothy M. Frayling, Marika Kaakinen, Liu C-T., Petersen A-K., Peter Schwarz, G B Walters, Palmer Cna., Jean Tichet, Bernhard Paulweber, Ying Wu, Alyson Hall, Christopher T. Johansen, David Masson, Martin Ladouceur, Christie M. Ballantyne, Tai E-S., Robert Luben, Guillaume Charpentier, Angela Döring, Philip J. Barter, Ruth McPherson, Benjamin F. Voight, Wolfgang Rathmann, Mark Walker, Markus Perola, M. A. Province, Veikko Salomaa, James B. Meigs, George Davey Smith, Robert Clarke, Gerard Waeber, Stefania Bandinelli, Sally L. Ricketts, Kaisa Silander, Loos Rjf., Amanda J. Bennett, John C. Chambers, Marilyn C. Cornelis, L A Cupples, Andrew T. Hattersley, M Sandhu, Marju Orho-Melander, C M van Duijn, Olli T. Raitakari, David Meyre, Ida Surakka, Jouke-Jan Hottenga, Uh H-W., Kari Stefansson, David Melzer, P E Slagboom, Kristian Midthjell, Robert K. Semple, James P. Pirruccello, Aloysius G Lieverse, Åsa Johansson, Michael Roden, Felicity Payne, Eric J.G. Sijbrands, N P Burtt, David R. Hillman, Michael Marmot, Todd Green, Eric E. Schadt, Sijbrands Ejg., Tien Yin Wong, Coin Ljm., K B Boström, Olov Rolandsson, A D Morris, David Altshuler, Harald Grallert, L C Groop, Alan F. Wright, Karen Kapur, Xueling Sim, Philippe Froguel, K O Kyvik, T. Lauritzen, Linda S. Adair, Yavuz Ariyurek, Talin Haritunians, Toshiko Tanaka, Albert Hofman, MariaGrazia Franzosi, Nicholas L. Smith, Laura Crisponi, Andrew B. Singleton, A Uitterlinden, Bo Isomaa, Y A Kesaniemi, Anne U. Jackson, Christa Meisinger, Holly E. Syddall, Dorret I. Boomsma, Harry Campbell, Gonçalo R. Abecasis, Lyudmyla Kedenko, Christine Cavalcanti-Proença, G Crawford, Scott M. Grundy, Johnson Prv., Nuotio M-L., I Chen, J.H. Smit, Anuj Goel, M Li, David P. Strachan, Kenechi Ejebe, Beverley Balkau, Neelam Hassanali, Kristian Hveem, Pierre Meneton, R. Gwilliam, A J Swift, Caroline Hayward, J. Graessler, Carina Zabena, B. St Pourcain, Michel Marre, Margot Haun, Lyytikäinen L-P., Ben A. Oostra, Stefan Coassin, M. van Hoek, Nigel W. Rayner, John R. Thompson, Kurt Lohman, Ulla Sovio, Unnur Thorsteinsdottir, Naveed Sattar, Lyle J. Palmer, Ulf Gyllensten, A Elliott, Muredach P. Reilly, A Swift, Luigi Ferrucci, Syvänen A-C., Simon C. Potter, T.W. van Haeften, G Wu, Stefan Böhringer, Grant W. Montgomery, Edward G. Lakatta, Serkalem Demissie, Alex S. F. Doney, Najaf Amin, Lenore J. Launer, Hugh Watkins, Johanna Kuusisto, Lars Lind, Stefan R. Bornstein, Laura J. Rasmussen-Torvik, Terho Lehtimäki, Guillaume Paré, Sophie Visvikis-Siest, S C Heath, David Schlessinger, Juha Sinisalo, Kao Whl., Mark E. Cooper, Kati Kristiansson, Thomas W. Winkler, Thomas Sparsø, Laura J. McCulloch, Taina K. Lajunen, Alex N. Parker, Nabila Bouatia-Naji, Markku S. Nieminen, Peter Vollenweider, Wendy L. McArdle, G K Hovingh, Thomas A. Buchanan, Avan Aihie Sayer, M C Zillikens, Jing Hua Zhao, Naomi Hammond, Vilmundur Gudnason, Björn Zethelius, Panos Deloukas, Jacqueline C. M. Witteman, Eric Boerwinkle, Manuel Serrano-Ríos, Anna L. Gloyn, Katherine S. Elliott, A C Fedson, Torben Jørgensen, Nicole Soranzo, Heather M. Stringham, Bruce M. Psaty, A G Uitterlinden, Stavroula Kanoni, Christian Hengstenberg, Yun Li, Olle Melander, Alan R. Tall, Manuela Uda, Magnusson Pke., Christopher W. Kuzawa, V Mooser, R. M. van Dam, Jerome I. Rotter, Greenwood Cmt., Cyrus Cooper, Pau Navarro, Min Jin Go, Nancy L. Pedersen, Serge Hercberg, Bernhard O. Boehm, Eleanor Wheeler, Epidemiology, Medical Microbiology & Infectious Diseases, Clinical Genetics, Dastani, Z, Hivert, Mf, Timpson, N, Perry, Jr, Yuan, X, Scott, Ra, Henneman, P, Heid, Im, Kizer, Jr, Lyytikäinen, Lp, Fuchsberger, C, Tanaka, T, Morris, Ap, Small, K, Isaacs, A, Beekman, M, Coassin, S, Lohman, K, Qi, L, Kanoni, S, Pankow, J, Uh, Hw, Wu, Y, Bidulescu, A, Rasmussen Torvik, Lj, Greenwood, Cm, Ladouceur, M, Grimsby, J, Manning, Ak, Liu, Ct, Kooner, J, Mooser, Ve, Vollenweider, P, Kapur, Ka, Chambers, J, Wareham, Nj, Langenberg, C, Frants, R, Willems Vandijk, K, Oostra, Ba, Willems, Sm, Lamina, C, Winkler, Tw, Psaty, Bm, Tracy, Rp, Brody, J, Chen, I, Viikari, J, Kähönen, M, Pramstaller, Pp, Evans, Dm, St Pourcain, B, Sattar, N, Wood, Ar, Bandinelli, S, Carlson, Od, Egan, Jm, Böhringer, S, van Heemst, D, Kedenko, L, Kristiansson, K, Nuotio, Ml, Loo, Bm, Harris, T, Garcia, M, Kanaya, A, Haun, M, Klopp, N, Wichmann, He, Deloukas, P, Katsareli, E, Couper, Dj, Duncan, Bb, Kloppenburg, M, Adair, L, Borja, Jb, DIAGRAM+, Consortium, Magic, Consortium, Glgc, Investigator, Muther, Consortium, Wilson, Jg, Musani, S, Guo, X, Johnson, T, Semple, R, Teslovich, Tm, Allison, Ma, Redline, S, Buxbaum, Sg, Mohlke, Kl, Meulenbelt, I, Ballantyne, Cm, Dedoussis, Gv, Hu, Fb, Liu, Y, Paulweber, B, Spector, Td, Slagboom, Pe, Ferrucci, L, Jula, A, Perola, M, Raitakari, O, Florez, Jc, Salomaa, V, Eriksson, Jg, Frayling, Tm, Hicks, Aa, Lehtimäki, T, Smith, Gd, Siscovick, D, Kronenberg, F, van Duijn, C, Loos, Rj, Waterworth, Dm, Meigs, Jb, Dupuis, J, Richards, Jb, Voight, Bf, Scott, Lj, Steinthorsdottir, V, Dina, C, Welch, Rp, Zeggini, E, Huth, C, Aulchenko, Y, Thorleifsson, G, Mcculloch, Lj, Ferreira, T, Grallert, H, Amin, N, Wu, G, Willer, Cj, Raychaudhuri, S, Mccarroll, Sa, Hofmann, Om, Segrè, Av, van Hoek, M, Navarro, P, Ardlie, K, Balkau, B, Benediktsson, R, Bennett, Aj, Blagieva, R, Boerwinkle, E, Bonnycastle, Ll, Boström, Kb, Bravenboer, B, Bumpstead, S, Burtt, Np, 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Strachan, Dp, Reilly, Mp, Samani, Nj, Schunkert, H, Cupples, La, Ridker, Pm, Rader, Dj, Kathiresan, S., Medical Research Council (MRC), Perry, John [0000-0001-6483-3771], Wareham, Nicholas [0000-0003-1422-2993], Langenberg, Claudia [0000-0002-5017-7344], Semple, Robert [0000-0001-6539-3069], Griffin, Simon [0000-0002-2157-4797], Barroso, Ines [0000-0001-5800-4520], Soranzo, Nicole [0000-0003-1095-3852], Wheeler, Eleanor [0000-0002-8616-6444], Luan, Jian'an [0000-0003-3137-6337], Forouhi, Nita [0000-0002-5041-248X], Sharp, Stephen [0000-0003-2375-1440], Sovio, Ulla [0000-0002-0799-1105], Zhao, Jing Hua [0000-0003-4930-3582], Luben, Robert [0000-0002-5088-6343], Khaw, Kay-Tee [0000-0002-8802-2903], Sandhu, Manjinder [0000-0002-2725-142X], Apollo - University of Cambridge Repository, Biological Psychology, Functional Genomics, Neuroscience Campus Amsterdam - Attention & Cognition, EMGO+ - Lifestyle, Overweight and Diabetes, Other departments, Experimental Vascular Medicine, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Cardiology, Human genetics, Psychiatry, NCA - Attention & Cognition, EMGO - Lifestyle, overweight and diabetes, Lääketieteen yksikkö - School of Medicine, University of Tampere, Institute for Molecular Medicine Finland, Hjelt Institute (-2014), Clinicum, Department of General Practice and Primary Health Care, Department of Public Health, Haartman Institute (-2014), Transplantation Laboratory, Biostatistics Helsinki, Quantitative Genetics, Complex Disease Genetics, Genetic Epidemiology, DIAGRAM+ Consortium, MAGIC Consortium, GLGC Investigators, MuTHER Consortium, DIAGRAM Consortium, GIANT Consortium, Global B Pgen Consortium, Procardis Consortium, MAGIC investigators, GLGC Consortium, Olson, J., Kronmal, R., Robbins, J., Chaves, PH., Burke, G., Kuller, LH., Tracy, R., Gottdiener, J., Prineas, R., Becker, JT., Enright, P., Klein, R., and O'Leary, DH.
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Netherlands Twin Register (NTR) ,Male ,Insulin Resistance/genetics ,VARIANTS ,0302 clinical medicine ,POPULATION ,African Americans ,blood/genetics ,0303 health sciences ,education.field_of_study ,Adiponectin/blood ,Adiponectin/genetics ,Asian Continental Ancestry Group ,Cholesterol, HDL/genetics ,Diabetes Mellitus, Type 2/genetics ,European Continental Ancestry Group ,Female ,Gene Expression ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Glucose Tolerance Test ,Humans ,Metabolic Networks and Pathways ,Polymorphism, Single Nucleotide ,Waist-Hip Ratio ,Global B Pgen Consortium ,MAGIC investigators ,3. Good health ,Cholesterol ,Medicine ,Adiponectin ,Type 2 ,medicine.medical_specialty ,HDL ,Biolääketieteet - Biomedicine ,Single-nucleotide polymorphism ,DIAGRAM Consortium ,White People ,Molecular Genetics ,GLGC Consortium ,03 medical and health sciences ,Asian People ,SDG 3 - Good Health and Well-being ,GIANT Consortium ,Diabetes Mellitus ,Genetics ,DIAGRAM+ Consortium ,GENOME-WIDE ASSOCIATION ,Polymorphism ,education ,Biology ,Molecular Biology ,Ecology, Evolution, Behavior and Systematics ,0604 Genetics ,Science & Technology ,GLGC Investigators ,nutritional and metabolic diseases ,ta3121 ,medicine.disease ,Obesity ,Black or African American ,blood/genetics, African Americans, Asian Continental Ancestry Group, Cholesterol ,genetics, Diabetes Mellitus ,genetics, European Continental Ancestry Group, Female, Gene Expression, Genetic Predisposition to Disease, Genome-Wide Association Study, Glucose Tolerance Test, Humans, Insulin Resistance ,genetics, Male, Metabolic Networks and Pathways, Polymorphism ,Single Nucleotide, Waist-Hip Ratio ,Endocrinology ,Diabetes Mellitus, Type 2 ,Developmental Biology ,Type 2/genetics ,Cancer Research ,Type 2 diabetes ,QH426-470 ,030204 cardiovascular system & hematology ,LIPID CONCENTRATIONS ,GENETICS & HEREDITY ,Genetics (clinical) ,RISK ,2. Zero hunger ,INSULIN-RESISTANCE ,Glucose tolerance test ,medicine.diagnostic_test ,MAGIC Consortium ,Single Nucleotide ,ADIPOSE-TISSUE ,CORONARY-ARTERY-DISEASE ,Life Sciences & Biomedicine ,Research Article ,Clinical Research Design ,GENETIC-BASIS ,Population ,Insulin resistance ,Internal medicine ,Diabetes mellitus ,medicine ,ddc:610 ,030304 developmental biology ,RECEPTOR ,Cholesterol, HDL ,Human Genetics ,HDL/genetics ,3121 General medicine, internal medicine and other clinical medicine ,MuTHER Consortium ,3111 Biomedicine ,Procardis Consortium ,Insulin Resistance - Abstract
Circulating levels of adiponectin, a hormone produced predominantly by adipocytes, are highly heritable and are inversely associated with type 2 diabetes mellitus (T2D) and other metabolic traits. We conducted a meta-analysis of genome-wide association studies in 39,883 individuals of European ancestry to identify genes associated with metabolic disease. We identified 8 novel loci associated with adiponectin levels and confirmed 2 previously reported loci (P = 4.5×10−8–1.2×10−43). Using a novel method to combine data across ethnicities (N = 4,232 African Americans, N = 1,776 Asians, and N = 29,347 Europeans), we identified two additional novel loci. Expression analyses of 436 human adipocyte samples revealed that mRNA levels of 18 genes at candidate regions were associated with adiponectin concentrations after accounting for multiple testing (p, Author Summary Serum adiponectin levels are highly heritable and are inversely correlated with the risk of type 2 diabetes (T2D), coronary artery disease, stroke, and several metabolic traits. To identify common genetic variants associated with adiponectin levels and risk of T2D and metabolic traits, we conducted a meta-analysis of genome-wide association studies of 45,891 multi-ethnic individuals. In addition to confirming that variants at the ADIPOQ and CDH13 loci influence adiponectin levels, our analyses revealed that 10 new loci also affecting circulating adiponectin levels. We demonstrated that expression levels of several genes in these candidate regions are associated with serum adiponectin levels. Using a powerful novel method to assess the contribution of the identified variants with other traits using summary-level results from large-scale GWAS consortia, we provide evidence that the risk alleles for adiponectin are associated with deleterious changes in T2D risk and metabolic syndrome traits (triglycerides, HDL, post-prandial glucose, insulin, and waist-to-hip ratio), demonstrating that the identified loci, taken together, impact upon metabolic disease.
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- 2012
- Full Text
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12. Region of Noncombustion in Nitrogen-Oxygen and Helium-Oxygen Diving Atmospheres
- Author
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G. A. Cook, V. A. Dorr, and B. M. Shields
- Subjects
chemistry ,Environmental chemistry ,General Engineering ,chemistry.chemical_element ,HELIUM/OXYGEN ,General Medicine ,Nitrogen ,Oxygen ,Astrobiology - Published
- 1968
- Full Text
- View/download PDF
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