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1. The metabolic syndrome
by Byrne, Christopher D and Wild, Sarah H
2005, 1. Aufl., Diabetes in practice, ISBN 9780470025116, xiv, 418
Award-winning!Highly Commended Certificate of the 2006 BMA Medical Book CompetitionThe metabolic syndrome is a highly prevalent condition that affects a... 
Metabolism | Metabolic Syndrome X | Disorders | Endocrinology & Metabolism | Medical | Diabetes | Complications
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2. Full Text New genetic loci link adipose and insulin biology to body fat distribution
by Shungin, Dmitry and Winkler, Thomas W and Croteau-Chonka, Damien C and Ferreira, Teresa and Locke, Adam E and Mägi, Reedik and Strawbridge, Rona J and Pers, Tune H and Fischer, Krista and Justice, Anne E and Workalemahu, Tsegaselassie and Wu, Joseph M. W and Buchkovich, Martin L and Heard-Costa, Nancy L and Roman, Tamara S and ng, Alexander W and Song, Ci and Gustafsson, Stefan and Day, Felix R and Esko, Tonu and Fall, Tove and Kutalik, Zoltán and Luan, Jian'an and Randall, Joshua C and Scherag, Ané and Vedantam, Sailaja and Wood, Anew R and Chen, Jin and Fehrmann, Rudolf and Karjalainen, Juha and Kahali, Bratati and Liu, Ching-Ti and Schmidt, Ellen M and Absher, Devin and Amin, Najaf and Anderson, Denise and Beekman, Marian and Bragg-Gresham, Jennifer L and Buyske, Steven and Demirkan, Ayse and Ehret, Georg B and Feitosa, Mary F and Goel, Anuj and Jackson, Anne U and Johnson, Toby and Kleber, Marcus E and Kristiansson, Kati and Mangino, Massimo and Mateo Leach, Irene and Medina-Gomez, Carolina and Palmer, Cameron D and Pasko, Dorota and Pechlivanis, Sonali and Peters, Marjolein J and Prokopenko, Inga and Stančáková, Alena and Ju Sung, Yun and Tanaka, Toshiko and Teumer, Alexander and van Vliet-Ostaptchouk, Jana V and Yengo, Loïc and Zhang, Weihua and Albrecht, Eva and Ärnlöv, Johan and Arscott, Gillian M and Bandinelli, Stefania and Barrett, Amy and Bellis, Claire and Bennett, Amanda J and Berne, Christian and Blüher, Matthias and Böhringer, Stefan and Bonnet, Fabrice and Böttcher, Yvonne and Bruinenberg, Marcel and Carba, Delia B and Caspersen, Ida H and Clarke, Robert and Daw, E. Warwick and Deelen, Joris and Deelman, Ewa and Delgado, Graciela and Doney, Alex S. F and Eklund, Niina and Erdos, Michael R and Estrada, Karol and Eury, Elodie and Frieich, Nele and Garcia, Melissa E and Gieaitis, Vilmantas and Gigante, Bruna and Go, Alan S and Golay, Alain and Grallert, Harald and Grammer, Tanja B and Gräßler, Jürgen and Grewal, Jagvir and Groves, Christopher J and Haller, Toomas and Hallmans, Goran and ... and PAGE Consortium and LifeLines Cohort Study and CARDIOGRAMplusC4D Consortium and MuTHER Consortium and ICBP and ADIPOGEN Consortium and CKDGen Consortium and GEFOS Consortium and Int Endogene Consortium and GENIE Consortium and MAGIC Investigators and ReproGen Consortium and GLGC and ADIPOGen Consortium and International Endogene Consortium and The PAGE Consortium and The International Endogene Consortium and The MAGIC Investigators and The ReproGen Consortium and The CKDGen Consortium and The ADIPOGen Consortium and The ICBP and The CARDIOGRAMplusC4D Consortium and The GENIE Consortium and The GLGC and The GEFOS Consortium and The MuTHER Consortium and The LifeLines Cohort Study and Högskolan Dalarna and Akademin Utbildning, hälsa och samhälle and Medicinsk vetenskap
Nature, ISSN 0028-0836, 2015, Volume 518, Issue 7538, pp. 187 - U378
Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our... 
HUMAN HEIGHT | ABDOMINAL ADIPOSITY | MULTIDISCIPLINARY SCIENCES | COMMON SNPS | SUSCEPTIBILITY LOCI | GLYCEMIC TRAITS | FALSE DISCOVERY | MESENCHYMAL STEM-CELLS | GENOME-WIDE ASSOCIATION | ADIPOGENIC DIFFERENTIATION | SEXUAL-DIMORPHISM | Body Mass Index | Genome-Wide Association Study | Age Factors | Neovascularization, Physiologic - genetics | Epigenesis, Genetic | Humans | Male | Continental Population Groups - genetics | Sex Characteristics | Obesity - genetics | Europe - ethnology | Genome, Human - genetics | Adipose Tissue - metabolism | Insulin - metabolism | Models, Biological | Adipocytes - metabolism | Insulin Resistance - genetics | Polymorphism, Single Nucleotide - genetics | Female | Body Fat Distribution | Transcription, Genetic - genetics | Adipogenesis - genetics | Waist-Hip Ratio | Quantitative Trait Loci - genetics | Adipose tissues | Quantitative trait loci | Genetic research | Genetic aspects | Research | Metabolism | Health aspects | Studies | Body mass index | Genealogy | Body fat | Insulin resistance | Genetics | Genomes | Abdomen | Meta-analysis | Index Medicus | Life Sciences | Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism Age Factors Body Fat Distribution Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study Humans Insulin/metabolism Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio | Clinical Medicine | Hälsa och välfärd | Medical and Health Sciences | Klinisk medicin | Medicin och hälsovetenskap | Health and Welfare
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3. Full Text Factors associated with stillbirth in women with diabetes
by Mackin, Sharon T and Nelson, Scott M and Wild, Sarah H and Colhoun, Helen M and Wood, Rachael and Lindsay, Robert S and on behalf of the SDRN Epidemiology Group and Scottish Diabetes Group Pregnancy subgroup
Diabetologia, ISSN 0012-186X, 10/2019, Volume 62, Issue 10, pp. 1938 - 1947
Stillbirth risk is increased in pregnancy complicated by diabetes. Fear of stillbirth has major influence on obstetric management, particularly timing of... 
Pregnancy | Type 2 diabetes | Neonatal | Medicine & Public Health | Human Physiology | Type 1 diabetes | Metabolic Diseases | Birthweight | Stillbirth | Internal Medicine | Epidemiology | Diabetes mellitus | Fetuses | Diabetes mellitus (insulin dependent) | Infants | Diabetes | Health risk assessment | Diabetes mellitus (non-insulin dependent) | Risk factors | Index Medicus
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4. Full Text Trends in incidence and case fatality of acute myocardial infarction, angina and coronary revascularisation in people with and without type 2 diabetes in Scotland between 2006 and 2015
by Read, Stephanie H and Fischbacher, Colin M and Colhoun, Helen M and Gasevic, Danijela and Kerssens, Joannes J and McAllister, David A and Sattar, Naveed and Wild, Sarah H and Scottish Diabet Res Network and Scottish Diabetes Research Network Epidemiology Group and on behalf of the Scottish Diabetes Research Network Epidemiology Group
Diabetologia, ISSN 0012-186X, 3/2019, Volume 62, Issue 3, pp. 418 - 425
The aim of the study was to examine trends in the incidence and case fatality of acute myocardial infarction (AMI) and in hospital admissions for angina and... 
Myocardial infarction | Type 2 diabetes | Medicine & Public Health | Human Physiology | Metabolic Diseases | Internal Medicine | Revascularisation | Angina | Coronary heart disease | MORTALITY | ADULTS | MELLITUS | CARE | WOMEN | HEART-DISEASE | MEN | ENDOCRINOLOGY & METABOLISM | Coronary artery bypass | Angina pectoris | Analysis | Heart attack | Heart attacks | Diabetes mellitus | Fatalities | Diabetes | Trends | Patient admissions | Diabetes mellitus (non-insulin dependent) | Stents | Index Medicus
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5. Full Text Consequences of being overweight or obese during pregnancy on diabetes in the offspring: a record linkage study in Aberdeen, Scotland
by Lahti-Pulkkinen, Marius and Bhattacharya, Sohinee and Wild, Sarah H and Lindsay, Robert S and Räikkönen, Katri and Norman, Jane E and Bhattacharya, Siladitya and Reynolds, Rebecca M
Diabetologia, ISSN 0012-186X, 8/2019, Volume 62, Issue 8, pp. 1412 - 1419
Maternal obesity in pregnancy is associated with cardiovascular disease and mortality rate in the offspring. We aimed to determine whether maternal obesity is... 
Pregnancy | Obesity | Offspring | Medicine & Public Health | Human Physiology | Metabolic Diseases | Internal Medicine | Diabetes | ASSOCIATIONS | MATERNAL OBESITY | BIRTH-WEIGHT | FOLLOW-UP | RISK | CHILDHOOD | TRENDS | ENDOCRINOLOGY & METABOLISM | BODY-MASS INDEX | PITUITARY-ADRENAL AXIS | SEVERELY OBESE | Type 2 diabetes | Pregnant women | Analysis | Mortality | Neonates | Data banks | Diabetes mellitus | Body weight | Socio-economic aspects | Diabetes mellitus (insulin dependent) | Gestation | Progeny | Underweight | Cardiovascular diseases | Diabetes mellitus (non-insulin dependent)
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6. Full Text Global prevalence of diabetes: Estimates for the year 2000 and projections for 2030 [8] (multiple letter)
by Rathmann, Wolfgang and Giani, Guido and Wild, Sarah H and Roglic, Gojka and Green, Anders and Sicree, Richard and King, Hilary
Diabetes Care, ISSN 0149-5992, 10/2004, Volume 27, Issue 10, pp. 2568 - 2569
Diabetes Mellitus, Type 1 - epidemiology | Diabetes Mellitus, Type 1 - diagnosis | Diabetes Mellitus, Type 2 - diagnosis | Prevalence | Global Health | Risk Assessment | Humans | Female | Male | Forecasting | Diabetes Mellitus, Type 2 - epidemiology | Index Medicus
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7. Full Text Declining hysterectomy prevalence and the estimated impact on uterine cancer incidence in Scotland
by Ruiz de Azua Unzurrunzaga, Garazi and Brewster, David H and Wild, Sarah H and Sivalingam, Vanitha N
Cancer Epidemiology, ISSN 1877-7821, 04/2019, Volume 59, pp. 227 - 231
The prevalence of hysterectomy is decreasing worldwide. It is not clear whether changes in the population at risk (women with intact uteruses) have contributed... 
Endometrial | Hysterectomy | Womb | Uterine | Cancer | INCIDENCE RATES | WOMEN | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | ONCOLOGY | TRENDS | ENGLAND | BURDEN | Usage | Research | Uterine cancer | Analysis | Prevalence studies (Epidemiology) | Populations | Calendars | Incidence | Ethics | Womens health | Information services | Conflicts of interest | Aging | Population | Trends | Health risk assessment | Females | Age | Age groups | Tumors
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8. Full Text Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture
by Berndt, Sonja I and Gustafsson, Stefan and Mägi, Reedik and Ganna, Anea and Wheeler, Eleanor and Feitosa, Mary F and Justice, Anne E and Monda, Keri L and Croteau-Chonka, Damien C and Day, Felix R and Esko, Tõnu and Fall, Tove and Ferreira, Teresa and Gentilini, Davide and Jackson, Anne U and Luan, Jian'an and Randall, Joshua C and Vedantam, Sailaja and Willer, Cristen J and Winkler, Thomas W and Wood, Anew R and Workalemahu, Tsegaselassie and Hu, Yi-Juan and Lee, Sang Hong and Liang, Liming and Lin, Dan-Yu and Min, Josine L and Neale, Benjamin M and Thorleifsson, Gudmar and Yang, Jian and Albrecht, Eva and Amin, Najaf and Bragg-Gresham, Jennifer L and Cadby, Gemma and den Heijer, Martin and Eklund, Niina and Fischer, Krista and Goel, Anuj and Hottenga, Jouke-Jan and Huffman, Jennifer E and Jarick, Ivonne and Johansson, Asa and Johnson, Toby and Kanoni, Stavroula and Kleber, Marcus E and König, Inke R and Kristiansson, Kati and Kutalik, Zoltán and Lamina, Claudia and Lecoeur, Cecile and Li, Guo and Mangino, Massimo and McArdle, Wendy L and Medina-Gomez, Carolina and Müller-Nurasyid, Martina and Ngwa, Julius S and Nolte, Ilja M and Paternoster, Lavinia and Pechlivanis, Sonali and Perola, Markus and Peters, Marjolein J and Preuss, Michael and Rose, Lynda M and Shi, Jianxin and Shungin, Dmitry and Smith, Albert Vernon and Strawbridge, Rona J and Surakka, Ida and Teumer, Alexander and Trip, Mieke D and Tyrer, Jonathan and van Vliet-Ostaptchouk, Jana V and Vandenput, Liesbeth and Waite, Lindsay L and Zhao, Jing Hua and Absher, Devin and Asselbergs, Folkert W and Atalay, Mustafa and Attwood, Antony P and Balmforth, Anthony J and Basart, Hanneke and Beilby, John and Bonnycastle, Lori L and Brambilla, Paolo and Bruinenberg, Marcel and Campbell, Harry and Chasman, Daniel I and Chines, Peter S and Collins, Francis S and Connell, John M and Cookson, William O and de Faire, Ulf and de Vegt, Femmie and dei, Mariano and Dimitriou, Maria and Edkins, Sarah and Estrada, Karol and Evans, David M and Farrall, Martin and Ferrario, Marco M and ... and Medicinska fakulteten and Institutionen för folkhälsa och klinisk medicin and Umeå universitet and Medicin
Nature genetics, ISSN 1061-4036, 2013, Volume 45, Issue 5, pp. 501 - 512
Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are... 
EXTREME OBESITY | COMMON VARIANTS | POPULATION | GENETICS & HEREDITY | EARLY-ONSET | BODY-MASS INDEX | MISSING HERITABILITY | CONFER RISK | SORTILIN | ASSOCIATION | EXPRESSION | Body Mass Index | European Continental Ancestry Group - genetics | Genetic Predisposition to Disease | Genome-Wide Association Study | Meta-Analysis as Topic | Anthropometry | Humans | Genotype | Obesity - genetics | Body Height - genetics | Case-Control Studies | Phenotype | Polymorphism, Single Nucleotide - genetics | Quantitative Trait Loci | Waist-Hip Ratio | Quantitative trait loci | Physiological aspects | Body mass index | Genetic aspects | Research | Obesity | Medical research | Biomedical research | Architecture | Gene loci | Genomes | Diabetes | Charitable foundations | Cancer | Index Medicus | Basic Medicine | Medical Genetics | Medicinsk genetik | Medical and Health Sciences | Medicin och hälsovetenskap | Medicinska och farmaceutiska grundvetenskaper
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