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Dive into the research topics where Peter H. Whincup is active.

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Featured researches published by Peter H. Whincup.


The Lancet Diabetes & Endocrinology | 2016

Plasma urate concentration and risk of coronary heart disease: a Mendelian randomisation analysis

Jon White; Reecha Sofat; Gibran Hemani; Tina Shah; Jorgen Engmann; Caroline Dale; Sonia Shah; Felix A. Kruger; Claudia Giambartolomei; Daniel I. Swerdlow; Tom Palmer; Stela McLachlan; Claudia Langenberg; Delilah Zabaneh; Ruth C. Lovering; Alana Cavadino; Barbara J. Jefferis; Chris Finan; Andrew Wong; Antoinette Amuzu; Ken K. Ong; Tom R. Gaunt; Helen R. Warren; Teri-Louise Davies; Fotios Drenos; Jackie A. Cooper; Shah Ebrahim; Debbie A. Lawlor; Philippa J. Talmud; Steve E. Humphries

Summary Background Increased circulating plasma urate concentration is associated with an increased risk of coronary heart disease, but the extent of any causative effect of urate on risk of coronary heart disease is still unclear. In this study, we aimed to clarify any causal role of urate on coronary heart disease risk using Mendelian randomisation analysis. Methods We first did a fixed-effects meta-analysis of the observational association of plasma urate and risk of coronary heart disease. We then used a conventional Mendelian randomisation approach to investigate the causal relevance using a genetic instrument based on 31 urate-associated single nucleotide polymorphisms (SNPs). To account for potential pleiotropic associations of certain SNPs with risk factors other than urate, we additionally did both a multivariable Mendelian randomisation analysis, in which the genetic associations of SNPs with systolic and diastolic blood pressure, HDL cholesterol, and triglycerides were included as covariates, and an Egger Mendelian randomisation (MR-Egger) analysis to estimate a causal effect accounting for unmeasured pleiotropy. Findings In the meta-analysis of 17 prospective observational studies (166u2008486 individuals; 9784 coronary heart disease events) a 1 SD higher urate concentration was associated with an odds ratio (OR) for coronary heart disease of 1·07 (95% CI 1·04–1·10). The corresponding OR estimates from the conventional, multivariable adjusted, and Egger Mendelian randomisation analysis (58 studies; 198u2008598 individuals; 65u2008877 events) were 1·18 (95% CI 1·08–1·29), 1·10 (1·00–1·22), and 1·05 (0·92–1·20), respectively, per 1 SD increment in plasma urate. Interpretation Conventional and multivariate Mendelian randomisation analysis implicates a causal role for urate in the development of coronary heart disease, but these estimates might be inflated by hidden pleiotropy. Egger Mendelian randomisation analysis, which accounts for pleiotropy but has less statistical power, suggests there might be no causal effect. These results might help investigators to determine the priority of trials of urate lowering for the prevention of coronary heart disease compared with other potential interventions. Funding UK National Institute for Health Research, British Heart Foundation, and UK Medical Research Council.


International Journal of Epidemiology | 2016

Adult height, coronary heart disease and stroke: a multi-locus Mendelian randomization meta-analysis

Eveline Nüesch; Caroline Dale; Tom Palmer; Jon White; Brendan J. Keating; E P van Iperen; Anuj Goel; Sandosh Padmanabhan; Folkert W. Asselbergs; W. M. M. Verschuren; Cisca Wijmenga; Y. T. van der Schouw; N. C. Onland-Moret; Leslie A. Lange; Gerald K. Hovingh; Suthesh Sivapalaratnam; Richard Morris; Peter H. Whincup; G S Wannamethe; Tom R. Gaunt; Shah Ebrahim; Laura Steel; Nikhil Nair; Alex P. Reiner; Charles Kooperberg; James F. Wilson; Jennifer L. Bolton; Stela McLachlan; Jacqueline F. Price; Mark W. J. Strachan

Abstract Background: We investigated causal effect of completed growth, measured by adult height, on coronary heart disease (CHD), stroke and cardiovascular traits, using instrumental variable (IV) Mendelian randomization meta-analysis. Methods: We developed an allele score based on 69 single nucleotide polymorphisms (SNPs) associated with adult height, identified by the IBCCardioChip, and used it for IV analysis against cardiovascular risk factors and events in 21 studies and 60u2009028 participants. IV analysis on CHD was supplemented by summary data from 180 height-SNPs from the GIANT consortium and their corresponding CHD estimates derived from CARDIoGRAMplusC4D. Results: IV estimates from IBCCardioChip and GIANT-CARDIoGRAMplusC4D showed that a 6.5-cm increase in height reduced the odds of CHD by 10% [odds ratios 0.90; 95% confidence intervals (CIs): 0.78 to 1.03 and 0.85 to 0.95, respectively],which agrees with the estimate from the Emerging Risk Factors Collaboration (hazard ratio 0.93; 95% CI: 0.91 to 0.94). IV analysis revealed no association with stroke (odds ratio 0.97; 95% CI: 0.79 to 1.19). IV analysis showed that a 6.5-cm increase in height resulted in lower levels of body mass index (Pu2009<u20090.001), triglycerides (Pu2009<u20090.001), non high-density (non-HDL) cholesterol (Pu2009<u20090.001), C-reactive protein (Pu2009=u20090.042), and systolic blood pressure (Pu2009=u20090.064) and higher levels of forced expiratory volume in 1u2009s and forced vital capacity (Pu2009<u20090.001 for both). Conclusions: Taller individuals have a lower risk of CHD with potential explanations being that taller people have a better lung function and lower levels of body mass index, cholesterol and blood pressure.


Circulation-cardiovascular Genetics | 2015

Effect of Smoking on Blood Pressure and Resting Heart Rate - A Mendelian Randomization Meta-Analysis in the CARTA Consortium

Allan Linneberg; Rikke Kart Jacobsen; Tea Skaaby; Amy E Taylor; Meg E. Fluharty; Jørgen Jeppesen; Johan Håkon Bjørngaard; Bjørn O. Åsvold; Maiken Elvestad Gabrielsen; Archie Campbell; Riccardo E. Marioni; Meena Kumari; Pedro Marques-Vidal; Marika Kaakinen; Alana Cavadino; Iris Postmus; Tarunveer S. Ahluwalia; S. Goya Wannamethee; Jari Lahti; Katri Räikkönen; Aarno Palotie; Andrew Wong; Christine Dalgård; Ian Ford; Yoav Ben-Shlomo; Lene Christiansen; Ko Kyvik; Diana Kuh; Johan G. Eriksson; Peter H. Whincup

Background— Smoking is an important cardiovascular disease risk factor, but the mechanisms linking smoking to blood pressure are poorly understood.nnMethods and Results— Data on 141 317 participants (62 666 never, 40 669 former, 37 982 current smokers) from 23 population-based studies were included in observational and Mendelian randomization meta-analyses of the associations of smoking status and smoking heaviness with systolic and diastolic blood pressure, hypertension, and resting heart rate. For the Mendelian randomization analyses, a genetic variant rs16969968/rs1051730 was used as a proxy for smoking heaviness in current smokers. In observational analyses, current as compared with never smoking was associated with lower systolic blood pressure and diastolic blood pressure and lower hypertension risk, but with higher resting heart rate. In observational analyses among current smokers, 1 cigarette/day higher level of smoking heaviness was associated with higher (0.21 bpm; 95% confidence interval 0.19; 0.24) resting heart rate and slightly higher diastolic blood pressure (0.05 mm Hg; 95% confidence interval 0.02; 0.08) and systolic blood pressure (0.08 mm Hg; 95% confidence interval 0.03; 0.13). However, in Mendelian randomization analyses among current smokers, although each smoking increasing allele of rs16969968/rs1051730 was associated with higher resting heart rate (0.36 bpm/allele; 95% confidence interval 0.18; 0.54), there was no strong association with diastolic blood pressure, systolic blood pressure, or hypertension. This would suggest a 7 bpm higher heart rate in those who smoke 20 cigarettes/day.nnConclusions— This Mendelian randomization meta-analysis supports a causal association of smoking heaviness with higher level of resting heart rate, but not with blood pressure. These findings suggest that part of the cardiovascular risk of smoking may operate through increasing resting heart rate.Background—Smoking is an important cardiovascular disease risk factor, but the mechanisms linking smoking to blood pressure are poorly understood. Methods and Results—Data on 141u2009317 participants (62u2009666 never, 40u2009669 former, 37u2009982 current smokers) from 23 population-based studies were included in observational and Mendelian randomization meta-analyses of the associations of smoking status and smoking heaviness with systolic and diastolic blood pressure, hypertension, and resting heart rate. For the Mendelian randomization analyses, a genetic variant rs16969968/rs1051730 was used as a proxy for smoking heaviness in current smokers. In observational analyses, current as compared with never smoking was associated with lower systolic blood pressure and diastolic blood pressure and lower hypertension risk, but with higher resting heart rate. In observational analyses among current smokers, 1 cigarette/day higher level of smoking heaviness was associated with higher (0.21 bpm; 95% confidence interval 0.19; 0.24) resting heart rate and slightly higher diastolic blood pressure (0.05 mmu2009Hg; 95% confidence interval 0.02; 0.08) and systolic blood pressure (0.08 mmu2009Hg; 95% confidence interval 0.03; 0.13). However, in Mendelian randomization analyses among current smokers, although each smoking increasing allele of rs16969968/rs1051730 was associated with higher resting heart rate (0.36 bpm/allele; 95% confidence interval 0.18; 0.54), there was no strong association with diastolic blood pressure, systolic blood pressure, or hypertension. This would suggest a 7 bpm higher heart rate in those who smoke 20 cigarettes/day. Conclusions—This Mendelian randomization meta-analysis supports a causal association of smoking heaviness with higher level of resting heart rate, but not with blood pressure. These findings suggest that part of the cardiovascular risk of smoking may operate through increasing resting heart rate.


BMJ Open | 2015

Heavier smoking may lead to a relative increase in waist circumference: evidence for a causal relationship from a Mendelian randomisation meta-analysis. The CARTA consortium

Richard Morris; Amy E Taylor; Meg E. Fluharty; Johan Håkon Bjørngaard; Bjørn Olav Åsvold; Maiken Elvestad Gabrielsen; Archie Campbell; Riccardo E. Marioni; Meena Kumari; Tellervo Korhonen; Satu Männistö; Pedro Marques-Vidal; Marika Kaakinen; Alana Cavadino; Iris Postmus; Lise Lotte N. Husemoen; Tea Skaaby; Tarunveer S. Ahluwalia; Jorien L. Treur; Gonneke Willemsen; Caroline Dale; S. Goya Wannamethee; Jari Lahti; Aarno Palotie; Katri Räikkönen; Alex McConnachie; Sandosh Padmanabhan; Andrew Wong; Christine Dalgård; Lavinia Paternoster

Objectives To investigate, using a Mendelian randomisation approach, whether heavier smoking is associated with a range of regional adiposity phenotypes, in particular those related to abdominal adiposity. Design Mendelian randomisation meta-analyses using a genetic variant (rs16969968/rs1051730 in the CHRNA5-CHRNA3-CHRNB4 gene region) as a proxy for smoking heaviness, of the associations of smoking heaviness with a range of adiposity phenotypes. Participants 148u2005731 current, former and never-smokers of European ancestry aged ≥16u2005years from 29 studies in the consortium for Causal Analysis Research in Tobacco and Alcohol (CARTA). Primary outcome measures Waist and hip circumferences, and waist-hip ratio. Results The data included up to 66u2005809 never-smokers, 43u2005009 former smokers and 38u2005913 current daily cigarette smokers. Among current smokers, for each extra minor allele, the geometric mean was lower for waist circumference by −0.40% (95% CI −0.57% to −0.22%), with effects on hip circumference, waist-hip ratio and body mass index (BMI) being −0.31% (95% CI −0.42% to −0.19), −0.08% (−0.19% to 0.03%) and −0.74% (−0.96% to −0.51%), respectively. In contrast, among never-smokers, these effects were higher by 0.23% (0.09% to 0.36%), 0.17% (0.08% to 0.26%), 0.07% (−0.01% to 0.15%) and 0.35% (0.18% to 0.52%), respectively. When adjusting the three central adiposity measures for BMI, the effects among current smokers changed direction and were higher by 0.14% (0.05% to 0.22%) for waist circumference, 0.02% (−0.05% to 0.08%) for hip circumference and 0.10% (0.02% to 0.19%) for waist-hip ratio, for each extra minor allele. Conclusions For a given BMI, a gene variant associated with increased cigarette consumption was associated with increased waist circumference. Smoking in an effort to control weight may lead to accumulation of central adiposity.


Thorax | 2016

Exome-wide analysis of rare coding variation identifies novel associations with COPD and airflow limitation in MOCS3, IFIT3 and SERPINA12

Victoria E. Jackson; Ioanna Ntalla; Ian Sayers; Richard Morris; Peter H. Whincup; Juan-Pablo Casas; Antoinette Amuzu; Minkyoung Choi; Caroline Dale; Meena Kumari; Jorgen Engmann; Noor Kalsheker; Sally Chappell; Tamar Guetta-Baranes; Tricia M. McKeever; Colin N. A. Palmer; Roger Tavendale; John W. Holloway; Avan Aihie Sayer; Elaine M. Dennison; C Cooper; Mona Bafadhel; Bethan Barker; Christopher E. Brightling; Charlotte E. Bolton; Michelle John; Stuart G. Parker; Miriam F Moffat; Andrew J. Wardlaw; Martin J. Connolly

Background Several regions of the genome have shown to be associated with COPD in genome-wide association studies of common variants. Objective To determine rare and potentially functional single nucleotide polymorphisms (SNPs) associated with the risk of COPD and severity of airflow limitation. Methods 3226 current or former smokers of European ancestry with lung function measures indicative of Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2 COPD or worse were genotyped using an exome array. An analysis of risk of COPD was carried out using ever smoking controls (n=4784). Associations with %predicted FEV1 were tested in cases. We followed-up signals of interest (p<10−5) in independent samples from a subset of the UK Biobank population and also undertook a more powerful discovery study by meta-analysing the exome array data and UK Biobank data for variants represented on both arrays. Results Among the associated variants were two in regions previously unreported for COPD; a low frequency non-synonymous SNP in MOCS3 (rs7269297, pdiscovery=3.08×10−6, preplication=0.019) and a rare SNP in IFIT3, which emerged in the meta-analysis (rs140549288, pmeta=8.56×10−6). In the meta-analysis of % predicted FEV1 in cases, the strongest association was shown for a splice variant in a previously unreported region, SERPINA12 (rs140198372, pmeta=5.72×10−6). We also confirmed previously reported associations with COPD risk at MMP12, HHIP, GPR126 and CHRNA5. No associations in novel regions reached a stringent exome-wide significance threshold (p<3.7×10−7). Conclusions This study identified several associations with the risk of COPD and severity of airflow limitation, including novel regions MOCS3, IFIT3 and SERPINA12, which warrant further study.


Cardiovascular Diabetology | 2016

Variant rs10911021 that associates with coronary heart disease in type 2 diabetes, is associated with lower concentrations of circulating HDL cholesterol and large HDL particles but not with amino acids

Katherine E. Beaney; Jackie A. Cooper; Stela McLachlan; S. Goya Wannamethee; Barbara J. Jefferis; Peter H. Whincup; Yoav Ben-Shlomo; Jacqueline F. Price; Meena Kumari; Andrew Wong; Ken K. Ong; Rebecca Hardy; Diana Kuh; Mika Kivimäki; Antti J. Kangas; Pasi Soininen; Mika Ala-Korpela; Fotios Drenos; Steve E. Humphries

AimsAn intergenic locus on chromosome 1 (lead SNP rs10911021) was previously associated with coronary heart disease (CHD) in type 2 diabetes (T2D). Using data from the UCLEB consortium we investigated the relationship between rs10911021 and CHD in T2D, whether rs10911021 was associated with levels of amino acids involved in the γ-glutamyl cycle or any conventional risk factors (CRFs) for CHD in the T2D participants.MethodsFour UCLEB studies (nxa0=xa06531) had rs10911021 imputation, CHD in T2D, CRF and metabolomics data determined using a nuclear magnetic resonance based platform.ResultsThe expected direction of effect between rs10911021 and CHD in T2D was observed (1377 no CHD/160 CHD; minor allele OR 0.80, 95xa0% CI 0.60–1.06) although this was not statistically significant (pxa0=xa00.13). No association between rs10911021 and CHD was seen in non-T2D participants (11218 no CHD/1274 CHD; minor allele OR 1.00 95xa0% CIs 0.92–1.10). In T2D participants, while no associations were observed between rs10911021 and the nine amino acids measured, rs10911021 was associated with HDL-cholesterol (pxa0=xa00.0005) but the minor “protective” allele was associated with lower levels (−0.034xa0mmol/l per allele). Focusing more closely on the HDL-cholesterol subclasses measured, we observed that rs10911021 was associated with six large HDL particle measures in T2D (all pxa0<xa00.001). No significant associations were seen in non-T2D subjects.ConclusionsOur findings are consistent with a true association between rs10911021 and CHD in T2D. The protective minor allele was associated with lower HDL-cholesterol and reductions in HDL particle traits. Our results indicate a complex relationship between rs10911021 and CHD in T2D.


Scientific Reports | 2016

Mendelian Randomisation study of the influence of eGFR on coronary heart disease

Pimphen Charoen; Dorothea Nitsch; Jorgen Engmann; Tina Shah; J. S. White; Delilah Zabaneh; Barbara J. Jefferis; Goya Wannamethee; Peter H. Whincup; Amy Mulick Cassidy; Tom R. Gaunt; Ian N. M. Day; Stela McLachlan; Jacqueline F. Price; Meena Kumari; Mika Kivimäki; Eric Brunner; Claudia Langenberg; Yoav Ben-Shlomo; Aroon D. Hingorani; John C. Whittaker; Juan P. Casas; Frank Dudbridge

Impaired kidney function, as measured by reduced estimated glomerular filtration rate (eGFR), has been associated with increased risk of coronary heart disease (CHD) in observational studies, but it is unclear whether this association is causal or the result of confounding or reverse causation. In this study we applied Mendelian randomisation analysis using 17 genetic variants previously associated with eGFR to investigate the causal role of kidney function on CHD. We used 13,145 participants from the UCL-LSHTM-Edinburgh-Bristol (UCLEB) Consortium and 194,427 participants from the Coronary ARtery DIsease Genome-wide Replication and Meta-analysis plus Coronary Artery Disease (CARDIoGRAMplusC4D) consortium. We observed significant association of an unweighted gene score with CHD risk (odds ratiou2009=u20090.983 per additional eGFR-increasing allele, 95% CIu2009=u20090.970–0.996, pu2009=u20090.008). However, using weights calculated from UCLEB, the gene score was not associated with disease risk (pu2009=u20090.11). These conflicting results could be explained by a single SNP, rs653178, which was not associated with eGFR in the UCLEB sample, but has known pleiotropic effects that prevent us from drawing a causal conclusion. The observational association between low eGFR and increased CHD risk was not explained by potential confounders, and there was no evidence of reverse causation, therefore leaving the remaining unexplained association as an open question.


Atherosclerosis | 2017

Identifying low density lipoprotein cholesterol associated variants in the Annexin A2 (ANXA2) gene.

Roaa Hani Fairoozy; Jackie A. Cooper; Jon White; Claudia Giambartolomei; Lasse Folkersen; S. Goya Wannamethee; Barbara J. Jefferis; Peter H. Whincup; Yoav Ben-Shlomo; Meena Kumari; Mika Kivimäki; Andrew Wong; Rebecca Hardy; Diana Kuh; Tom R. Gaunt; Juan P. Casas; Stela McLachlan; Jackie F. Price; Aroon D. Hingorani; Anders Franco-Cereceda; Thomas Grewal; Anastasia Z. Kalea; Steve E. Humphries

Background and aims Annexin-A2 (AnxA2) is an endogenous inhibitor of proprotein convertase subtilisin/kexin type-9 (PCSK9). The repeat-one (R1) domain of AnxA2 binds to PCSK9, blocking its ability to promote degradation of low-density lipoprotein cholesterol-receptors (LDL-R) and thereby regulate low-density lipoprotein cholesterol (LDL-C) levels. Here we identify variants in ANXA2 influencing LDL-C levels and we determine the molecular mechanisms of their effects. Results The ANXA2 single nucleotide polymorphism (SNP) genotype-phenotype association was examined using the Second-Northwick-Park Heart Study (NPHSII) (n∼2700) and the UCL-LSHTM-Edinburgh-Bristol (UCLEB) consortium (n∼14,600). The ANXA2-R1 domain coding-SNP rs17845226 (V98L) associated with LDL-C, homozygotes for the minor allele having ≈18.8% higher levels of LDL-C (p = 0.004), and higher risk of coronary heart disease (CHD) (p = 0.04). The SNP is in modest linkage disequilibrium (r2 > 0.5) with two intergenic SNPs, rs17191344 and rs11633032. Both SNPs showed allele-specific protein binding, and the minor alleles caused significant reduction in reporter gene expression (≈18%, p < 0.001). In the expression quantitative trait loci (eQTL) study, minor allele homozygotes have significantly lower levels of ANXA2-mRNA expression (p = 1.36 × 10−05). Conclusions Both rs11633032 and rs17191344 SNPs are functional variants, where the minor alleles create repressor-binding protein sites for transcription factors that contribute to reduced ANXA2 gene expression. Lower AnxA2 levels could increase plasma levels of PCSK9 and thus increase LDL-C levels and risk of CHD. This supports, for the first time in humans, previous observations in mouse models that changes in the levels of AnxA2 directly influence plasma LDL-C levels, and thus implicate this protein as a potential therapeutic target for LDL-C lowering.


Circulation-cardiovascular Genetics | 2015

Effect of Smoking on Blood Pressure and Resting Heart Rate

Allan Linneberg; Rikke Kart Jacobsen; Tea Skaaby; Amy E Taylor; Meg E. Fluharty; Jørgen Jeppesen; Johan Håkon Bjørngaard; Bjørn Olav Åsvold; Maiken Elvestad Gabrielsen; Archie Campbell; Riccardo E. Marioni; Meena Kumari; Pedro Marques-Vidal; Marika Kaakinen; Alana Cavadino; Iris Postmus; Tarunveer S. Ahluwalia; S. Goya Wannamethee; Jari Lahti; Katri Räikkönen; Aarno Palotie; Andrew Wong; Christine Dalgård; Ian Ford; Yoav Ben-Shlomo; Lene Christiansen; Kirsten Ohm Kyvik; Diana Kuh; Johan G. Eriksson; Peter H. Whincup

Background— Smoking is an important cardiovascular disease risk factor, but the mechanisms linking smoking to blood pressure are poorly understood.nnMethods and Results— Data on 141 317 participants (62 666 never, 40 669 former, 37 982 current smokers) from 23 population-based studies were included in observational and Mendelian randomization meta-analyses of the associations of smoking status and smoking heaviness with systolic and diastolic blood pressure, hypertension, and resting heart rate. For the Mendelian randomization analyses, a genetic variant rs16969968/rs1051730 was used as a proxy for smoking heaviness in current smokers. In observational analyses, current as compared with never smoking was associated with lower systolic blood pressure and diastolic blood pressure and lower hypertension risk, but with higher resting heart rate. In observational analyses among current smokers, 1 cigarette/day higher level of smoking heaviness was associated with higher (0.21 bpm; 95% confidence interval 0.19; 0.24) resting heart rate and slightly higher diastolic blood pressure (0.05 mm Hg; 95% confidence interval 0.02; 0.08) and systolic blood pressure (0.08 mm Hg; 95% confidence interval 0.03; 0.13). However, in Mendelian randomization analyses among current smokers, although each smoking increasing allele of rs16969968/rs1051730 was associated with higher resting heart rate (0.36 bpm/allele; 95% confidence interval 0.18; 0.54), there was no strong association with diastolic blood pressure, systolic blood pressure, or hypertension. This would suggest a 7 bpm higher heart rate in those who smoke 20 cigarettes/day.nnConclusions— This Mendelian randomization meta-analysis supports a causal association of smoking heaviness with higher level of resting heart rate, but not with blood pressure. These findings suggest that part of the cardiovascular risk of smoking may operate through increasing resting heart rate.Background—Smoking is an important cardiovascular disease risk factor, but the mechanisms linking smoking to blood pressure are poorly understood. Methods and Results—Data on 141u2009317 participants (62u2009666 never, 40u2009669 former, 37u2009982 current smokers) from 23 population-based studies were included in observational and Mendelian randomization meta-analyses of the associations of smoking status and smoking heaviness with systolic and diastolic blood pressure, hypertension, and resting heart rate. For the Mendelian randomization analyses, a genetic variant rs16969968/rs1051730 was used as a proxy for smoking heaviness in current smokers. In observational analyses, current as compared with never smoking was associated with lower systolic blood pressure and diastolic blood pressure and lower hypertension risk, but with higher resting heart rate. In observational analyses among current smokers, 1 cigarette/day higher level of smoking heaviness was associated with higher (0.21 bpm; 95% confidence interval 0.19; 0.24) resting heart rate and slightly higher diastolic blood pressure (0.05 mmu2009Hg; 95% confidence interval 0.02; 0.08) and systolic blood pressure (0.08 mmu2009Hg; 95% confidence interval 0.03; 0.13). However, in Mendelian randomization analyses among current smokers, although each smoking increasing allele of rs16969968/rs1051730 was associated with higher resting heart rate (0.36 bpm/allele; 95% confidence interval 0.18; 0.54), there was no strong association with diastolic blood pressure, systolic blood pressure, or hypertension. This would suggest a 7 bpm higher heart rate in those who smoke 20 cigarettes/day. Conclusions—This Mendelian randomization meta-analysis supports a causal association of smoking heaviness with higher level of resting heart rate, but not with blood pressure. These findings suggest that part of the cardiovascular risk of smoking may operate through increasing resting heart rate.


Disease Markers | 2017

Functional Analysis of the Coronary Heart Disease Risk Locus on Chromosome 21q22.

Katherine E. Beaney; Andrew J.P. Smith; Lasse Folkersen; Jutta Palmen; S. Goya Wannamethee; Barbara J. Jefferis; Peter H. Whincup; Tom R. Gaunt; Juan P. Casas; Yoav Ben-Shlomo; Jacqueline F. Price; Meena Kumari; Andrew Wong; Ken K. Ong; Rebecca Hardy; Diana Kuh; Nicholas J. Wareham; Mika Kivimäki; Per Eriksson; Steve E. Humphries

Background. The coronary heart disease (CHD) risk locus on 21q22 (lead SNP rs9982601) lies within a “gene desert.” The aim of this study was to assess if this locus is associated with CHD risk factors and to identify the functional variant(s) and gene(s) involved. Methods. A phenome scan was performed with UCLEB Consortium data. Allele-specific protein binding was studied using electrophoretic mobility shift assays. Dual-reporter luciferase assays were used to assess the impact of genetic variation on expression. Expression quantitative trait analysis was performed with Advanced Study of Aortic Pathology (ASAP) and Genotype-Tissue Expression (GTEx) consortium data. Results. A suggestive association between QT interval and the locus was observed (rs9982601u2009u2009p = 0.04). One variant at the locus, rs28451064, showed allele-specific protein binding and its minor allele showed 12% higher luciferase expression (p = 4.82 × 10−3) compared to the common allele. The minor allele of rs9982601 was associated with higher expression of the closest upstream genes (SLC5A3 1.30-fold increase p = 3.98 × 10−5; MRPS6 1.15-fold increase p = 9.60 × 10−4) in aortic intima media in ASAP. Both rs9982601 and rs28451064 showed a suggestive association with MRPS6 expression in relevant tissues in the GTEx data. Conclusions. A candidate functional variant, rs28451064, was identified. Future work should focus on identifying the pathway(s) involved.

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Andrew Wong

University College London

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Alana Cavadino

Queen Mary University of London

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Diana Kuh

University College London

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