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- Mahajan, Anubha, et al.
(author)
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Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes
- 2018
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In: Nature Genetics. - : Nature Publishing Group. - 1061-4036 .- 1546-1718. ; 50:4, s. 559-571
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Journal article (peer-reviewed)abstract
- We aggregated coding variant data for 81,412 type 2 diabetes cases and 370,832 controls of diverse ancestry, identifying 40 coding variant association signals (P < 2.2 × 10−7); of these, 16 map outside known risk-associated loci. We make two important observations. First, only five of these signals are driven by low-frequency variants: even for these, effect sizes are modest (odds ratio ≤1.29). Second, when we used large-scale genome-wide association data to fine-map the associated variants in their regional context, accounting for the global enrichment of complex trait associations in coding sequence, compelling evidence for coding variant causality was obtained for only 16 signals. At 13 others, the associated coding variants clearly represent ‘false leads’ with potential to generate erroneous mechanistic inference. Coding variant associations offer a direct route to biological insight for complex diseases and identification of validated therapeutic targets; however, appropriate mechanistic inference requires careful specification of their causal contribution to disease predisposition.
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| 2. |
- Greve, Anders M., et al.
(author)
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Differences in Cardiovascular Risk Profile Between Electrocardiographic Hypertrophy Versus Strain in Asymptomatic Patients With Aortic Stenosis (from SEAS Data)
- 2011
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In: American Journal of Cardiology. - : Elsevier BV. - 1879-1913 .- 0002-9149. ; 108:4, s. 541-547
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Journal article (peer-reviewed)abstract
- Electrocardiograms are routinely obtained in clinical follow-up of patients with asymptomatic aortic stenosis (AS). The association with aortic valve, left ventricular (LV) response to long-term pressure load, and clinical covariates is unclear and the clinical value is thus uncertain. Data from clinical examination, electrocardiogram, and echocardiogram in 1,563 patients in the Simvastatin and Ezetimibe in Aortic Stenosis (SEAS) study were used. Electrocardiograms were Minnesota coded for arrhythmias and atrioventricular and intraventricular blocks; LV hypertrophy was assessed by Sokolow-Lyon voltage and Cornell voltage duration criteria; and strain by T-wave inversion and ST-segment depression. Degree of AS severity was evaluated by echocardiography as peak aortic jet velocity and LV mass was indexed by body surface area. After adjustment for age, gender, LV mass index, heart rate, systolic and diastolic blood pressures, blood glucose, digoxin, antiarrhythmic drugs, drugs acting on the renin angiotensin system, diuretics, beta blockers and calcium receptor blockers; peak aortic jet velocity was significantly greater in patients with electrocardiographic strain (mean difference 0.13 m/s, p <0.001) and LV hypertrophy by Sokolow-Lyon voltage criteria (mean difference 0.12 m/s, p = 0.004). After similar adjustment, LV mass index was significantly greater in patients with electrocardiographic strain (mean difference 14.8 g/cm(2), p <0.001) and LV hypertrophy by Sokolow-Lyon voltage criteria and Cornell voltage duration criteria (mean differences 8.8 and 17.8 g/cm(2), respectively, p <0.001 for the 2 comparisons). In multiple comparisons patients with electrocardiographic strain had increased peak aortic jet velocity, blood glucose, and uric acid, whereas patients with LV hypertrophy by Sokolow-Lyon voltage criteria were younger and patients with LV hypertrophy by Cornell voltage duration criteria more often were women. In conclusion, electrocardiographic criteria for LV hypertrophy and strain are independently associated with peak aortic jet velocity and LV mass index. Moreover, clinical covariates differ significantly between patients with electrocardiographic strain and those with LV hypertrophy by Sokolow-Lyon voltage criteria and Cornell voltage duration criteria. (C) 2011 Elsevier Inc. All rights reserved. (Am J Cardiol 2011;108:541-547)
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| 3. |
- Qi, Qibin, et al.
(author)
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FTO genetic variants, dietary intake and body mass index : insights from 177 330 individuals
- 2014
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In: Human Molecular Genetics. - : Oxford University Press (OUP). - 0964-6906 .- 1460-2083. ; 23:25, s. 6961-6972
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Journal article (peer-reviewed)abstract
- FTO is the strongest known genetic susceptibility locus for obesity. Experimental studies in animals suggest the potential roles of FTO in regulating food intake. The interactive relation among FTO variants, dietary intake and body mass index (BMI) is complex and results from previous often small-scale studies in humans are highly inconsistent. We performed large-scale analyses based on data from 177 330 adults (154 439 Whites, 5776 African Americans and 17 115 Asians) from 40 studies to examine: (i) the association between the FTO-rs9939609 variant (or a proxy single-nucleotide polymorphism) and total energy and macronutrient intake and (ii) the interaction between the FTO variant and dietary intake on BMI. The minor allele (A-allele) of the FTO-rs9939609 variant was associated with higher BMI in Whites (effect per allele = 0.34 [0.31, 0.37] kg/m(2), P = 1.9 × 10(-105)), and all participants (0.30 [0.30, 0.35] kg/m(2), P = 3.6 × 10(-107)). The BMI-increasing allele of the FTO variant showed a significant association with higher dietary protein intake (effect per allele = 0.08 [0.06, 0.10] %, P = 2.4 × 10(-16)), and relative weak associations with lower total energy intake (-6.4 [-10.1, -2.6] kcal/day, P = 0.001) and lower dietary carbohydrate intake (-0.07 [-0.11, -0.02] %, P = 0.004). The associations with protein (P = 7.5 × 10(-9)) and total energy (P = 0.002) were attenuated but remained significant after adjustment for BMI. We did not find significant interactions between the FTO variant and dietary intake of total energy, protein, carbohydrate or fat on BMI. Our findings suggest a positive association between the BMI-increasing allele of FTO variant and higher dietary protein intake and offer insight into potential link between FTO, dietary protein intake and adiposity.
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| 4. |
- Wormser, David, et al.
(author)
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Adult height and the risk of cause-specific death and vascular morbidity in 1 million people : individual participant meta-analysis
- 2012
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In: International Journal of Epidemiology. - : Oxford University Press (OUP). - 0300-5771 .- 1464-3685. ; 41:5, s. 1419-1433
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Journal article (peer-reviewed)abstract
- BackgroundThe extent to which adult height, a biomarker of the interplay of genetic endowment and early-life experiences, is related to risk of chronic diseases in adulthood is uncertain.MethodsWe calculated hazard ratios (HRs) for height, assessed in increments of 6.5 cm, using individual-participant data on 174 374 deaths or major non-fatal vascular outcomes recorded among 1 085 949 people in 121 prospective studies.ResultsFor people born between 1900 and 1960, mean adult height increased 0.5-1 cm with each successive decade of birth. After adjustment for age, sex, smoking and year of birth, HRs per 6.5 cm greater height were 0.97 (95% confidence interval: 0.96-0.99) for death from any cause, 0.94 (0.93-0.96) for death from vascular causes, 1.04 (1.03-1.06) for death from cancer and 0.92 (0.90-0.94) for death from other causes. Height was negatively associated with death from coronary disease, stroke subtypes, heart failure, stomach and oral cancers, chronic obstructive pulmonary disease, mental disorders, liver disease and external causes. In contrast, height was positively associated with death from ruptured aortic aneurysm, pulmonary embolism, melanoma and cancers of the pancreas, endocrine and nervous systems, ovary, breast, prostate, colorectum, blood and lung. HRs per 6.5 cm greater height ranged from 1.26 (1.12-1.42) for risk of melanoma death to 0.84 (0.80-0.89) for risk of death from chronic obstructive pulmonary disease. HRs were not appreciably altered after further adjustment for adiposity, blood pressure, lipids, inflammation biomarkers, diabetes mellitus, alcohol consumption or socio-economic indicators.ConclusionAdult height has directionally opposing relationships with risk of death from several different major causes of chronic diseases.
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