Billings et al., 2012 - Google Patents
Impact of common variation in bone-related genes on type 2 diabetes and related traitsBillings et al., 2012
View PDF- Document ID
- 8460330304907223260
- Author
- Billings L
- Hsu Y
- Ackerman R
- Dupuis J
- Voight B
- Rasmussen-Torvik L
- Hercberg S
- Lathrop M
- Barnes D
- Langenberg C
- Hui J
- Fu M
- Bouatia-Naji N
- Lecoeur C
- An P
- Magnusson P
- Surakka I
- Ripatti S
- Christiansen L
- Dalgård C
- Folkersen L
- Grundberg E
- MAGIC Investigators
- DIAGRAM+ Consortium
- MuTHER Consortium
- ASCOT Investigators
- GEFOS Consortium
- Eriksson P
- Kaprio J
- Ohm Kyvik K
- Pedersen N
- Borecki I
- Province M
- Balkau B
- Froguel P
- Shuldiner A
- Palmer L
- Wareham N
- Meneton P
- Johnson T
- Pankow J
- Karasik D
- Meigs J
- Kiel D
- Florez J
- Publication year
- Publication venue
- Diabetes
External Links
Snippet
Exploring genetic pleiotropy can provide clues to a mechanism underlying the observed epidemiological association between type 2 diabetes and heightened fracture risk. We examined genetic variants associated with bone mineral density (BMD) for association with …
- 208000001072 Type 2 Diabetes Mellitus 0 title abstract description 63
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Health care, e.g. hospitals; Social work
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/68—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES OR MICRO-ORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
- C12Q1/6876—Hybridisation probes
- C12Q1/6883—Hybridisation probes for diseases caused by alterations of genetic material
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/36—Computer-assisted acquisition of medical data, e.g. computerised clinical trials or questionnaires
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61K—PREPARATIONS FOR MEDICAL, DENTAL, OR TOILET PURPOSES
- A61K31/00—Medicinal preparations containing organic active ingredients
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Billings et al. | Impact of common variation in bone-related genes on type 2 diabetes and related traits | |
Jones et al. | Genome-wide meta-analysis of muscle weakness identifies 15 susceptibility loci in older men and women | |
Brower et al. | Bidirectional Mendelian randomization to explore the causal relationships between body mass index and polycystic ovary syndrome | |
Mansour Aly et al. | Genome-wide association analyses highlight etiological differences underlying newly defined subtypes of diabetes | |
Ajluni et al. | Spectrum of disease associated with partial lipodystrophy: lessons from a trial cohort | |
Teumer et al. | Genome-wide association studies identify genetic loci associated with albuminuria in diabetes | |
Tyrrell et al. | Genetic evidence for causal relationships between maternal obesity-related traits and birth weight | |
Jeppesen et al. | Insulin resistance, the metabolic syndrome, and risk of incident cardiovascular disease: a population-based study | |
Stender et al. | Elevated body mass index as a causal risk factor for symptomatic gallstone disease: a Mendelian randomization study | |
Elliott et al. | Genetic Loci associated with C-reactive protein levels and risk of coronary heart disease | |
Levy et al. | Genome-wide association study of blood pressure and hypertension | |
Qi et al. | Genetic predisposition to dyslipidemia and type 2 diabetes risk in two prospective cohorts | |
Schuit et al. | Estrogen receptor α gene polymorphisms and risk of myocardial infarction | |
Podewils et al. | Physical activity, APOE genotype, and dementia risk: findings from the Cardiovascular Health Cognition Study | |
Davis et al. | Effect of insulin therapy on quality of life in Type 2 diabetes mellitus: The Fremantle Diabetes Study | |
Mohammadi-Shemirani et al. | Effects of lifelong testosterone exposure on health and disease using Mendelian randomization | |
Perez-Fernandez et al. | Prevalence, awareness, treatment and control of hypertension in Galicia (Spain) and association with related diseases | |
Keildson et al. | Expression of phosphofructokinase in skeletal muscle is influenced by genetic variation and associated with insulin sensitivity | |
Sandholm et al. | Genetic basis of diabetic kidney disease and other diabetic complications | |
Benjafield et al. | G-protein β3 subunit gene splice variant in obesity and overweight | |
Yang et al. | A gene-family analysis of 61 genetic variants in the nicotinic acetylcholine receptor genes for insulin resistance and type 2 diabetes in American Indians | |
Ikram et al. | The Rotterdam Study. Design update and major findings between 2020 and 2024 | |
El Rouby et al. | Genome-wide association analysis of common genetic variants of resistant hypertension | |
Ter Hark et al. | A new genetic locus for antipsychotic-induced weight gain: A genome-wide study of first-episode psychosis patients using amisulpride (from the OPTiMiSE cohort) | |
Khabour et al. | Association of adiponectin with hypertension in type 2 diabetic patients: the gender effect |