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1. Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

Author: Kanoni, S., Graham, S.E., Wang, Yuxuan, Surakka, I., Ramdas, S., Zhu, X, Clarke, S.L., Bhatti, K.F., Vedantam, S., Winkler, T.W., Locke, A.E., Marouli, E., Zajac, G.J.M., Wu, K.H., Ntalla, I., Hui, Q., Klarin, D., Hilliard, A.T., Wang, Zeyuan, Xue, C., Thorleifsson, G., Helgadottir, A., Gudbjartsson, D.F., Holm, H., Olafsson, I., Hwang, M.Y., Han, S., Akiyama, M., Sakaue, S., Terao, C., Kanai, M., Zhou, W, Brumpton, B.M., Rasheed, H., Havulinna, A.S., Veturi, Y., Pacheco, J.A., Rosenthal, E.A., Lingren, T., Feng, Q., Kullo, I.J., Narita, A., Takayama, J., Martin, H.C., Hunt, K.A., Trivedi, B., Haessler, J., Giulianini, F., Bradford, Y., Miller, J.E., Campbell, A., Lin, K., Millwood, I.Y., Rasheed, A., Hindy, G., Faul, J.D., Zhao, Wei, Weir, D.R., Turman, C., Huang, H., Graff, M, Choudhury, A., Sengupta, D., Mahajan, A., Brown, M.R., Zhang, W, Yu, K., Schmidt, E.M., Pandit, A., Gustafsson, S., Yin, X., Luan, J, Zhao, J.H., Matsuda, F., Jang, H.M., Yoon, K., Medina-Gomez, C., Pitsillides, A., Hottenga, J.J., Wood, A.R., Ji, Y., Gao, Z, Haworth, S., Yousri, N.A., Mitchell, R.E., Chai, J.F., Aadahl, M., Bjerregaard, A.A., Yao, J., Manichaikul, A., Hwu, C.M., Hung, Y.J., Warren, H.R., Ramirez, J., Bork-Jensen, J., Kårhus, L.L., Goel, A., Sabater-Lleal, M., Noordam, R., Mauro, P., Galesloot, T.E., Lores-Motta, L., Pauper, M., Hollander, A.I. den, Kiemeney, L.A.L.M., Graaf, J. de, Assimes, T.L., Peloso, G.M., Kanoni, S., Graham, S.E., Wang, Yuxuan, Surakka, I., Ramdas, S., Zhu, X, Clarke, S.L., Bhatti, K.F., Vedantam, S., Winkler, T.W., Locke, A.E., Marouli, E., Zajac, G.J.M., Wu, K.H., Ntalla, I., Hui, Q., Klarin, D., Hilliard, A.T., Wang, Zeyuan, Xue, C., Thorleifsson, G., Helgadottir, A., Gudbjartsson, D.F., Holm, H., Olafsson, I., Hwang, M.Y., Han, S., Akiyama, M., Sakaue, S., Terao, C., Kanai, M., Zhou, W, Brumpton, B.M., Rasheed, H., Havulinna, A.S., Veturi, Y., Pacheco, J.A., Rosenthal, E.A., Lingren, T., Feng, Q., Kullo, I.J., Narita, A., Takayama, J., Martin, H.C., Hunt, K.A., Trivedi, B., Haessler, J., Giulianini, F., Bradford, Y., Miller, J.E., Campbell, A., Lin, K., Millwood, I.Y., Rasheed, A., Hindy, G., Faul, J.D., Zhao, Wei, Weir, D.R., Turman, C., Huang, H., Graff, M, Choudhury, A., Sengupta, D., Mahajan, A., Brown, M.R., Zhang, W, Yu, K., Schmidt, E.M., Pandit, A., Gustafsson, S., Yin, X., Luan, J, Zhao, J.H., Matsuda, F., Jang, H.M., Yoon, K., Medina-Gomez, C., Pitsillides, A., Hottenga, J.J., Wood, A.R., Ji, Y., Gao, Z, Haworth, S., Yousri, N.A., Mitchell, R.E., Chai, J.F., Aadahl, M., Bjerregaard, A.A., Yao, J., Manichaikul, A., Hwu, C.M., Hung, Y.J., Warren, H.R., Ramirez, J., Bork-Jensen, J., Kårhus, L.L., Goel, A., Sabater-Lleal, M., Noordam, R., Mauro, P., Galesloot, T.E., Lores-Motta, L., Pauper, M., Hollander, A.I. den, Kiemeney, L.A.L.M., Graaf, J. de, Assimes, T.L., and Peloso, G.M.
Abstract: Item does not contain fulltext, BACKGROUND: Genetic variants within nearly 1000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of these findings and hindering downstream translational efforts such as drug target discovery. RESULTS: To expand our understanding of the underlying biological pathways and mechanisms controlling blood lipid levels, we leverage a large multi-ancestry meta-analysis (N = 1,654,960) of blood lipids to prioritize putative causal genes for 2286 lipid associations using six gene prediction approaches. Using phenome-wide association (PheWAS) scans, we identify relationships of genetically predicted lipid levels to other diseases and conditions. We confirm known pleiotropic associations with cardiovascular phenotypes and determine novel associations, notably with cholelithiasis risk. We perform sex-stratified GWAS meta-analysis of lipid levels and show that 3-5% of autosomal lipid-associated loci demonstrate sex-biased effects. Finally, we report 21 novel lipid loci identified on the X chromosome. Many of the sex-biased autosomal and X chromosome lipid loci show pleiotropic associations with sex hormones, emphasizing the role of hormone regulation in lipid metabolism. CONCLUSIONS: Taken together, our findings provide insights into the biological mechanisms through which associated variants lead to altered lipid levels and potentially cardiovascular disease risk.
Published: 2022

2. A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids

Author: Ramdas, S., Judd, J., Graham, S.E., Kanoni, S., Wang, Y, Surakka, I., Wenz, B., Clarke, S.L., Chesi, A., Wells, A., Bhatti, K.F., Vedantam, S., Locke, A.E., Marouli, E., Zajac, G.J.M., Wu, K.H., Ntalla, I., Hui, Q., Klarin, D., Hilliard, A.T., Wang, Z, Xue, C., Helgadottir, A., Gudbjartsson, D.F., Holm, H., Olafsson, I., Hwang, M.Y., Han, S., Akiyama, M., Sakaue, S., Terao, C., Kanai, M., Zhou, W, Brumpton, B.M., Rasheed, H., Havulinna, A.S., Veturi, Y., Pacheco, J.A., Rosenthal, E.A., Lingren, T., Feng, Q., Kullo, I.J., Narita, A., Takayama, J., Martin, H.C., Hunt, K.A., Trivedi, B., Haessler, J., Giulianini, F., Bradford, Y., Miller, J.E., Campbell, A., Lin, K., Millwood, I.Y., Rasheed, A., Hindy, G., Faul, J.D., Zhao, W, Weir, D.R., Turman, C., Huang, H., Graff, Mariaelisa, Choudhury, A., Sengupta, D., Mahajan, A., Brown, M.R., Yu, K., Schmidt, E.M., Pandit, A., Gustafsson, S., Yin, X., Luan, J, Zhao, J.H., Matsuda, F., Jang, H.M., Yoon, K., Medina-Gomez, C., Pitsillides, A., Hottenga, J.J., Wood, A.R., Ji, Y., Gao, Z, Haworth, S., Mitchell, R.E., Chai, J.F., Aadahl, M., Bjerregaard, A.A., Yao, J., Manichaikul, A., Lee, W.J., Hsiung, C.A., Warren, H.R., Ramirez, J., Bork-Jensen, J., Kårhus, L.L., Goel, A., Galesloot, T.E., Lores de Motta, L., Pauper, M., Hollander, A.I. den, Kiemeney, L.A.L.M., Zhu, Xiang, Brown, C.D., Ramdas, S., Judd, J., Graham, S.E., Kanoni, S., Wang, Y, Surakka, I., Wenz, B., Clarke, S.L., Chesi, A., Wells, A., Bhatti, K.F., Vedantam, S., Locke, A.E., Marouli, E., Zajac, G.J.M., Wu, K.H., Ntalla, I., Hui, Q., Klarin, D., Hilliard, A.T., Wang, Z, Xue, C., Helgadottir, A., Gudbjartsson, D.F., Holm, H., Olafsson, I., Hwang, M.Y., Han, S., Akiyama, M., Sakaue, S., Terao, C., Kanai, M., Zhou, W, Brumpton, B.M., Rasheed, H., Havulinna, A.S., Veturi, Y., Pacheco, J.A., Rosenthal, E.A., Lingren, T., Feng, Q., Kullo, I.J., Narita, A., Takayama, J., Martin, H.C., Hunt, K.A., Trivedi, B., Haessler, J., Giulianini, F., Bradford, Y., Miller, J.E., Campbell, A., Lin, K., Millwood, I.Y., Rasheed, A., Hindy, G., Faul, J.D., Zhao, W, Weir, D.R., Turman, C., Huang, H., Graff, Mariaelisa, Choudhury, A., Sengupta, D., Mahajan, A., Brown, M.R., Yu, K., Schmidt, E.M., Pandit, A., Gustafsson, S., Yin, X., Luan, J, Zhao, J.H., Matsuda, F., Jang, H.M., Yoon, K., Medina-Gomez, C., Pitsillides, A., Hottenga, J.J., Wood, A.R., Ji, Y., Gao, Z, Haworth, S., Mitchell, R.E., Chai, J.F., Aadahl, M., Bjerregaard, A.A., Yao, J., Manichaikul, A., Lee, W.J., Hsiung, C.A., Warren, H.R., Ramirez, J., Bork-Jensen, J., Kårhus, L.L., Goel, A., Galesloot, T.E., Lores de Motta, L., Pauper, M., Hollander, A.I. den, Kiemeney, L.A.L.M., Zhu, Xiang, and Brown, C.D.
Abstract: Item does not contain fulltext, A major challenge of genome-wide association studies (GWASs) is to translate phenotypic associations into biological insights. Here, we integrate a large GWAS on blood lipids involving 1.6 million individuals from five ancestries with a wide array of functional genomic datasets to discover regulatory mechanisms underlying lipid associations. We first prioritize lipid-associated genes with expression quantitative trait locus (eQTL) colocalizations and then add chromatin interaction data to narrow the search for functional genes. Polygenic enrichment analysis across 697 annotations from a host of tissues and cell types confirms the central role of the liver in lipid levels and highlights the selective enrichment of adipose-specific chromatin marks in high-density lipoprotein cholesterol and triglycerides. Overlapping transcription factor (TF) binding sites with lipid-associated loci identifies TFs relevant in lipid biology. In addition, we present an integrative framework to prioritize causal variants at GWAS loci, producing a comprehensive list of candidate causal genes and variants with multiple layers of functional evidence. We highlight two of the prioritized genes, CREBRF and RRBP1, which show convergent evidence across functional datasets supporting their roles in lipid biology.
Published: 2022

3. City-wide wastewater genomic surveillance through the successive emergence of SARS-CoV-2 Alpha and Delta variants

Author: Brunner, F.S., Brown, M.R., Bassano, I., Denise, H., Khalifa, M.S., Wade, M.J., van Aerle, R., Kevill, J.L., Jones, D.L., Farkas, K., Jeffries, A.R., Cairns, E., Wierzbicki, C., Paterson, S., Brunner, F.S., Brown, M.R., Bassano, I., Denise, H., Khalifa, M.S., Wade, M.J., van Aerle, R., Kevill, J.L., Jones, D.L., Farkas, K., Jeffries, A.R., Cairns, E., Wierzbicki, C., and Paterson, S.
Abstract: Genomic surveillance of SARS-CoV-2 has provided a critical evidence base for public health decisions throughout the pandemic. Sequencing data from clinical cases has helped to understand disease transmission and the spread of novel variants. Genomic wastewater surveillance can offer important, complementary information by providing frequency estimates of all variants circulating in a population without sampling biases. Here we show that genomic SARS-CoV-2 wastewater surveillance can detect fine-scale differences within urban centres, specifically within the city of Liverpool, UK, during the emergence of Alpha and Delta variants between November 2020 and June 2021. Furthermore, wastewater and clinical sequencing match well in the estimated timing of new variant rises and the first detection of a new variant in a given area may occur in either clinical or wastewater samples. The study's main limitation was sample quality when infection prevalence was low in spring 2021, resulting in a lower resolution of the rise of the Delta variant compared to the rise of the Alpha variant in the previous winter. The correspondence between wastewater and clinical variant frequencies demonstrates the reliability of wastewater surveillance. However, discrepancies in the first detection of the Alpha variant between the two approaches highlight that wastewater monitoring can also capture missing information, possibly resulting from asymptomatic cases or communities less engaged with testing programmes, as found by a simultaneous surge testing effort across the city.
Published: 2022

4. The power of genetic diversity in genome-wide association studies of lipids

Author: Graham, S.E., Clarke, S.L., Wu, K.H., Kanoni, S., Zajac, G.J.M., Ramdas, S., Surakka, I., Ntalla, I., Vedantam, S., Winkler, T.W., Locke, A.E., Marouli, E., Hwang, M.Y., Han, S., Narita, A., Choudhury, A., Bentley, A.R., Ekoru, K., Verma, A., Trivedi, B., Martin, H.C., Hunt, K.A., Hui, Q., Klarin, D., Zhu, X, Thorleifsson, G., Helgadottir, A., Gudbjartsson, D.F., Holm, H., Olafsson, I., Akiyama, M., Sakaue, S., Terao, C., Kanai, M., Zhou, W., Brumpton, B.M., Rasheed, H., Ruotsalainen, S.E., Havulinna, A.S., Veturi, Y., Feng, Q., Rosenthal, E.A., Lingren, T., Pacheco, J.A., Pendergrass, S.A., Haessler, J., Giulianini, F., Bradford, Y., Miller, J.E., Campbell, A., Lin, K., Millwood, I.Y., Hindy, G., Rasheed, A., Faul, J.D., Zhao, W., Weir, D.R., Turman, C., Huang, H., Graff, M, Mahajan, A., Brown, M.R., Zhang, W., Yu, K., Schmidt, E.M., Pandit, A., Gustafsson, S., Yin, X., Luan, J., Zhao, J.H., Matsuda, F., Jang, H.M., Yoon, K., Medina-Gomez, C., Pitsillides, A., Hottenga, J.J., Willemsen, G., Wood, A.R., Ji, Y., Gao, Z, Haworth, S., Mitchell, R.E., Chai, J.F., Aadahl, M., Yao, J., Manichaikul, A., Warren, H.R., Ramirez, J., Bork-Jensen, J., Kårhus, L.L., Goel, A., Sabater-Lleal, M., Noordam, R., Sidore, C., Fiorillo, E., McDaid, A.F., Marques-Vidal, P., Wielscher, M., Trompet, S., Sattar, N., Galesloot, T.E., Kiemeney, B., Graaf, J. de, Lores de Motta, L., Pauper, M., Hollander, A.I. den, Sun, Y.V., Willer, C.J., Graham, S.E., Clarke, S.L., Wu, K.H., Kanoni, S., Zajac, G.J.M., Ramdas, S., Surakka, I., Ntalla, I., Vedantam, S., Winkler, T.W., Locke, A.E., Marouli, E., Hwang, M.Y., Han, S., Narita, A., Choudhury, A., Bentley, A.R., Ekoru, K., Verma, A., Trivedi, B., Martin, H.C., Hunt, K.A., Hui, Q., Klarin, D., Zhu, X, Thorleifsson, G., Helgadottir, A., Gudbjartsson, D.F., Holm, H., Olafsson, I., Akiyama, M., Sakaue, S., Terao, C., Kanai, M., Zhou, W., Brumpton, B.M., Rasheed, H., Ruotsalainen, S.E., Havulinna, A.S., Veturi, Y., Feng, Q., Rosenthal, E.A., Lingren, T., Pacheco, J.A., Pendergrass, S.A., Haessler, J., Giulianini, F., Bradford, Y., Miller, J.E., Campbell, A., Lin, K., Millwood, I.Y., Hindy, G., Rasheed, A., Faul, J.D., Zhao, W., Weir, D.R., Turman, C., Huang, H., Graff, M, Mahajan, A., Brown, M.R., Zhang, W., Yu, K., Schmidt, E.M., Pandit, A., Gustafsson, S., Yin, X., Luan, J., Zhao, J.H., Matsuda, F., Jang, H.M., Yoon, K., Medina-Gomez, C., Pitsillides, A., Hottenga, J.J., Willemsen, G., Wood, A.R., Ji, Y., Gao, Z, Haworth, S., Mitchell, R.E., Chai, J.F., Aadahl, M., Yao, J., Manichaikul, A., Warren, H.R., Ramirez, J., Bork-Jensen, J., Kårhus, L.L., Goel, A., Sabater-Lleal, M., Noordam, R., Sidore, C., Fiorillo, E., McDaid, A.F., Marques-Vidal, P., Wielscher, M., Trompet, S., Sattar, N., Galesloot, T.E., Kiemeney, B., Graaf, J. de, Lores de Motta, L., Pauper, M., Hollander, A.I. den, Sun, Y.V., and Willer, C.J.
Abstract: Item does not contain fulltext, Increased blood lipid levels are heritable risk factors of cardiovascular disease with varied prevalence worldwide owing to different dietary patterns and medication use(1). Despite advances in prevention and treatment, in particular through reducing low-density lipoprotein cholesterol levels(2), heart disease remains the leading cause of death worldwide(3). Genome-wideassociation studies (GWAS) of blood lipid levels have led to important biological and clinical insights, as well as new drug targets, for cardiovascular disease. However, most previous GWAS(4-23) have been conducted in European ancestry populations and may have missed genetic variants that contribute to lipid-level variation in other ancestry groups. These include differences in allele frequencies, effect sizes and linkage-disequilibrium patterns(24). Here we conduct a multi-ancestry, genome-wide genetic discovery meta-analysis of lipid levels in approximately 1.65 million individuals, including 350,000 of non-European ancestries. We quantify the gain in studying non-European ancestries and provide evidence to support the expansion of recruitment of additional ancestries, even with relatively small sample sizes. We find that increasing diversity rather than studying additional individuals of European ancestry results in substantial improvements in fine-mapping functional variants and portability of polygenic prediction (evaluated in approximately 295,000 individuals from 7 ancestry groupings). Modest gains in the number of discovered loci and ancestry-specific variants were also achieved. As GWAS expand emphasis beyond the identification of genes and fundamental biology towards the use of genetic variants for preventive and precision medicine(25), we anticipate that increased diversity of participants will lead to more accurate and equitable(26) application of polygenic scores in clinical practice.
Published: 2021

5. Cardiovascular toxicity of targeted therapies for cancer: An overview of systematic reviews.

Author: Brown M.R., Vajdic C.M., Delaney G.P., Hong S., Hunt L., Webber K., Pearson S.-A., Van Leeuwen M.T., Luu S., Gurney H., Brown M.R., Vajdic C.M., Delaney G.P., Hong S., Hunt L., Webber K., Pearson S.-A., Van Leeuwen M.T., Luu S., and Gurney H.
Abstract: Background: Several targeted therapies for cancer have been associated with cardiovascular toxicity. The evidence for this association has not been synthesized systematically nor has the quality of evidence been considered. We synthesized systematic review evidence of cardiovascular toxicity of individual targeted agents. Method(s): We searched MEDLINE, Embase, and the Cochrane Database of Systematic Reviews for systematic reviews with meta-analyses of cardiovascular outcomes for individual agents published to May 2020. We selected reviews according to prespecified eligibility criteria (International Prospective Register of Systematic Reviews CRD42017080014). We classified evidence of cardiovascular toxicity as sufficient, probable, possible, or indeterminate for specific cardiovascular outcomes based on statistical significance, study quality, and size. Result(s): From 113 systematic reviews, we found at least probable systematic review evidence of cardiovascular toxicity for 18 agents, including high- and all-grade hypertension for bevacizumab, ramucirumab, axitinib, cediranib, pazopanib, sorafenib, sunitinib, vandetanib, aflibercept, abiraterone, and enzalutamide, and all-grade hypertension for nintedanib; high- and all-grade arterial thromboembolism (includes cardiac and/or cerebral events) for bevacizumab and abiraterone, high-grade arterial thromboembolism for trastuzumab, and all-grade arterial thromboembolism for sorafenib and tamoxifen; high- and all-grade venous thromboembolism (VTE) for lenalidomide and thalidomide, high-grade VTE for cetuximab and panitumumab, and all-grade VTE for bevacizumab; high- and all-grade left ventricular ejection fraction decline or congestive heart failure for bevacizumab and trastuzumab, and all-grade left ventricular ejection fraction decline/ congestive heart failure for pazopanib and sunitinib; and all-grade corrected QT interval prolongation for vandetanib. Conclusion(s): Our review provides an accessible summary of the c
Published: 2021

6. A comparison of precipitation and filtration-based SARS-CoV-2 recovery methods and the influence of temperature, turbidity, and surfactant load in urban wastewater

Author: Kevill, J.L., Pellett, C., Farkas, K., Brown, M.R., Bassano, I., Denise, H., McDonald, J.E., Malham, S.K., Porter, J., Warren, J., Evens, N.P., Paterson, S., Singer, A.C., Jones, D.L., Kevill, J.L., Pellett, C., Farkas, K., Brown, M.R., Bassano, I., Denise, H., McDonald, J.E., Malham, S.K., Porter, J., Warren, J., Evens, N.P., Paterson, S., Singer, A.C., and Jones, D.L.
Abstract: Wastewater-based epidemiology (WBE) has become a complimentary surveillance tool during the SARS-CoV-2 pandemic. Viral concentration methods from wastewater are still being optimised and compared, whilst viral recovery under different wastewater characteristics and storage temperatures remains poorly understood. Using urban wastewater samples, we tested three viral concentration methods; polyethylene glycol precipitation (PEG), ammonium sulphate precipitation (AS), and CP select™ InnovaPrep® (IP) ultrafiltration. We found no major difference in SARS-CoV-2 and faecal indicator virus (crAssphage) recovery from wastewater samples (n = 46) using these methods, PEG slightly (albeit non-significantly), outperformed AS and IP for SARS-CoV-2 detection, as a higher genome copies per litre (gc/l) was recorded for a larger proportion of samples. Next generation sequencing of 8 paired samples revealed non-significant differences in the quality of data between AS and IP, though IP data quality was slightly better and less variable. A controlled experiment assessed the impact of wastewater suspended solids (turbidity; 0–400 NTU), surfactant load (0–200 mg/l), and storage temperature (5–20 °C) on viral recovery using the AS and IP methods. SARS-CoV-2 recoveries were >20% with AS and <10% with IP in turbid samples, whilst viral recoveries for samples with additional surfactant were between 0–18% for AS and 0–5% for IP. Turbidity and sample storage temperature combined had no significant effect on SARS-CoV-2 recovery (p > 0.05), whilst surfactant and storage temperature combined were significant negative correlates (p < 0.001 and p < 0.05, respectively). In conclusion, our results show that choice of methodology had small effect on viral recovery of SARS-CoV-2 and crAssphage in wastewater samples within this study. In contrast, sample turbidity, storage temperature, and surfactant load did affect viral recovery, highlighting the need for careful consideration of the viral concentrat
Published: 2021

7. Association between ABO haplotypes and the risk of venous thrombosis: impact on disease risk estimation

Author: Goumidi, L., Thibord, F., Wiggins, K.L., Li-Gao, R.F., Brown, M.R., Vlieg, A.V., Souto, J.C., Soria, J.M., Ibrahim-Kosta, M., Saut, N., Daian, D., Olaso, R., Amouyel, P., Debette, S., Boland, A., Bailly, P., Morrison, A.C., Mook-Kanamori, D.O., Deleuze, J.F., Johnson, A., Vries, P.S. de, Sabater-Lleal, M., Chiaroni, J., Smith, N.L., Rosendaal, F.R., Chasman, D.I., Tregouet, D.A., and Morange, P.E.
Subjects: Male, Venous Thrombosis, Factor VIII, Prognosis, Polymorphism, Single Nucleotide, ABO Blood-Group System, Thrombosis and Hemostasis, Phenotype, Haplotypes, Cardiovascular Diseases, Risk Factors, von Willebrand Factor, Humans, Female, Genetic Predisposition to Disease, Aged, Genome-Wide Association Study
Abstract: Genetic risk score (GRS) analysis is a popular approach to derive individual risk prediction models for complex diseases. In venous thrombosis (VT), such type of analysis shall integrate information at the ABO blood group locus, which is one of the major susceptibility loci. However, there is no consensus about which single nucleotide polymorphisms (SNPs) must be investigated when properly assessing association between ABO locus and VT risk. Using comprehensive haplotype analyses of ABO blood group tagging SNPs in 5425 cases and 8445 controls from 6 studies, we demonstrate that using only rs8176719 (tagging O1) to correctly assess the impact of ABO locus on VT risk is suboptimal, because 5% of rs8176719-delG carriers do not have an increased risk of developing VT. Instead, we recommend the use of 4 SNPs, rs2519093 (tagging A1), rs1053878 (A2), rs8176743 (B), and rs41302905 (O2), when assessing the impact ofABOlocus on VT risk to avoid any risk misestimation. Compared with the O1 haplotype, the A2 haplotype is associated with a modest increase in VT risk (odds ratio, similar to 1.2), the A1 and B haplotypes are associated with an similar to 1.8-fold increased risk, whereas the O2 haplotype tends to be slightly protective (odds ratio, similar to 0.80). In addition, although the A1 and B blood groups are associated with increased von Willebrand factor and factor VIII plasma levels, only the A1 blood group is associated with ICAM levels, but in an opposite direction, leaving additional avenues to be explored to fully understand the spectrum of biological effects mediated by ABO locus on cardiovascular traits.
Published: 2020

8. Genetic loci associated with prevalent and incident myocardial infarction and coronary heart disease in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium

Author: Hahn, J., Fu, Y. P., Brown, M.R., Bis, J.C. (Joshua), de Vries, PS, Feitosa, M.F. (Mary Furlan), Yanek, L.R. (Lisa), Weiss, S., Giulianini, F. (Franco), Smith, A.V. (Davey), Guo, X.., Bartz, TM, Becker, D.M. (Diane), Becker, L.C. (Lewis), Boerwinkle, E.A. (Eric), Brody, JA, Chen, Y.D. (Y.), Franco, O.H., Grove, M., Harris, T.B. (Tamara), Hofman, A. (Albert), Hwang, S.J., Kral, B.G., Launer, LJ, Markus, M.R.P. (Marcello R. P.), Rice, KM, Rich, S.S. (Stephen), Ridker, P.M. (Paul), Rivadeneira Ramirez, F. (Fernando), Rotter, J.I. (Jerome), Sotoodehnia, N. (Nona), Taylor, K.D. (Kent), Uitterlinden, A.G. (André), Völker, U., Völzke, H. (Henry), Yao, J, Chasman, D.I. (Daniel), Dörr, M., Guonason, V. (Vilmundur), Mathias, J. (Jasmine), Post, W., Psaty, B.M. (Bruce), Dehghan, A., O’Donnell, C.J., Morrison, A.C. (Alanna), Hahn, J., Fu, Y. P., Brown, M.R., Bis, J.C. (Joshua), de Vries, PS, Feitosa, M.F. (Mary Furlan), Yanek, L.R. (Lisa), Weiss, S., Giulianini, F. (Franco), Smith, A.V. (Davey), Guo, X.., Bartz, TM, Becker, D.M. (Diane), Becker, L.C. (Lewis), Boerwinkle, E.A. (Eric), Brody, JA, Chen, Y.D. (Y.), Franco, O.H., Grove, M., Harris, T.B. (Tamara), Hofman, A. (Albert), Hwang, S.J., Kral, B.G., Launer, LJ, Markus, M.R.P. (Marcello R. P.), Rice, KM, Rich, S.S. (Stephen), Ridker, P.M. (Paul), Rivadeneira Ramirez, F. (Fernando), Rotter, J.I. (Jerome), Sotoodehnia, N. (Nona), Taylor, K.D. (Kent), Uitterlinden, A.G. (André), Völker, U., Völzke, H. (Henry), Yao, J, Chasman, D.I. (Daniel), Dörr, M., Guonason, V. (Vilmundur), Mathias, J. (Jasmine), Post, W., Psaty, B.M. (Bruce), Dehghan, A., O’Donnell, C.J., and Morrison, A.C. (Alanna)
Abstract: Background Genome-wide association studies have identified multiple genomic loci associated with coronary artery disease, but most are common variants in non-coding regions that provide limited information on causal genes and etiology of the disease. To overcome the limited scope that common variants provide, we focused our investigation on low-frequency and rare sequence variations primarily residing in coding regions of the genome. Methods and results Using samples of individuals of European ancestry from ten cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, both crosssectional and prospective analyses were conducted to examine associations between genetic variants and myocardial infarction (MI), coronary heart disease (CHD), and allcause mortality following these events. For prevalent events, a total of 27,349 participants of European ancestry, including 1831 prevalent MI cases and 2518 prevalent CHD cases were used. For incident cases, a total of 55,736 participants of European ancestry were included (3,031 incident MI cases and 5,425 incident CHD cases). There were 1,860 all-cause deaths among the 3,751 MI and CHD cases from six cohorts that contributed to the analysis of all-cause mortality. Single variant and gene-based analyses were performed separately in each cohort and then meta-analyzed for each outcome. A low-frequency intronic variant (rs988583) in PLCL1 was significantly associated with prevalent MI (OR = 1.80, 95% confidence interval: 1.43, 2.27; P = 7.12 ×
Published: 2020
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9. Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure

Author: Shah, S. (Sonia), Henry, A. (Albert), Roselli, C. (Carolina), Lin, H. (Honghuang), Sveinbjörnsson, G. (Garðar), Fatemifar, G. (Ghazaleh), Hedman, A.K. (Asa), Wilk, J.B. (Jemma), Morley, M.P. (Michael P.), Chaffin, M.D. (Mark D.), Helgadottir, H.T. (Hafdis), Verweij, N. (Niek), Dehghan, A. (Abbas), Almgren, P. (Peter), Andersson, C. (Charlotte), Aragam, K.G. (Krishna G.), Ärnlöv, J. (Johan), Backman, J.D. (Joshua D.), Biggs, M.L. (Mary L.), Bloom, H.L. (Heather L.), Brandimarto, J. (Jeffrey), Brown, M.R. (Michael R.), Buckbinder, L. (Leonard), Carey, D.J. (David J.), Chasman, D.I. (Daniel I.), Chen, X. (Xing), Chen, X. (Xu), Chung, J. (Jonathan), Chutkow, W. (William), Cook, J.P. (James P.), Delgado, G., Denaxas, S. (Spiros), Doney, A.S.F. (Alex), Dörr, M. (Marcus), Dudley, S.C. (Samuel C.), Dunn, M.E. (Michael E.), Engström, G., Esko, T. (Tõnu), Felix, S.B. (Stephan B.), Finan, C. (Chris), Ford, I. (Ian), Ghanbari, M. (Mohsen), Ghasemi, S. (Sahar), Giedraitis, V. (Vilmantas), Giulianini, F. (Franco), Gottdiener, J.S. (John), Gross, S. (Stefan), Guðbjartsson, D.F. (Daníel F.), Gutmann, R. (Rebecca), Haggerty, C.M. (Christopher M.), Harst, P. (Pim) van der, Hyde, C.L. (Craig L.), Ingelsson, E. (Erik), Jukema, J.W. (Jan Wouter), Kavousi, M. (Maryam), Khaw, K.-T. (Kay-Tee), Kleber, M.E. (Marcus), Køber, L. (Lars), Koekemoer, A. (Andrea), Langenberg, C. (Claudia), Kao, W.H.L. (Wen), Lindgren, C.M. (Cecilia M.), London, B. (Barry), Lotta, L.A. (Luca A.), Lovering, R.C. (Ruth C.), Luan, J., Magnusson, P.K. (Patrik), Mahajan, A. (Anubha), Margulies, K.B. (Kenneth B.), Ye, S. (Shu), Melander, O. (Olle), Mordi, I.R. (Ify R.), Morgan, T. (Thomas), Morris, A.D. (Andrew D.), Morris, A.P. (Andrew), Morrison, A.C. (Alanna C.), Nagle, M.W. (Michael W.), Nelson, C.P. (Christopher P.), Niessner, A. (Alexander), Niiranen, T. (Teemu), O’Donoghue, M.L. (Michelle L.), Owens, A.T. (Anjali T.), Palmer, C.N.A. (Colin N. A.), Parry, H.M. (Helen M.), Perola, M. (Markus), Portilla-Fernandez, E. (Eliana), Psaty, B.M. (Bruce M.), Abecasis, G. (Goncalo), Backman, J. (Joshua), Bai, X. (Xiaodong), Balasubramanian, S. (Suganthi), Banerjee, N. (Nilanjana), Baras, A. (Aris), Barnard, L. (Leland), Beechert, C. (Christina), Blumenfeld, A. (Andrew), Cantor, M. (Michael), Chai, Y. (Yating), Coppola, G. (Giovanni), Damask, A. (Amy), Dewey, F. (Frederick), Economides, A. (Aris), Eom, G. (Gisu), Forsythe, C. (Caitlin), Fuller, E.D. (Erin D.), Gu, Z. (Zhenhua), Gurski, L. (Lauren), Guzzardo, P.M. (Paloma M.), Habegger, L. (Lukas), Hahn, Y. (Young), Hawes, A. (Alicia), van Hout, C. (Cristopher), Jones, M.B. (Marcus B.), Khalid, S. (Shareef), Lattari, M. (Michael), Li, A. (Alexander), Lin, N. (Nan), Liu, D. (Daren), Lopez, A. (Alexander), Manoochehri, K. (Kia), Marchini, J. (Jonathan), Marcketta, A. (Anthony), Maxwell, E.K. (Evan K.), McCarthy, S. (Shane), Mitnaul, L.J. (Lyndon), O’Dushlaine, C. (Colm), Overton, J.D. (John D.), Padilla, M.S. (Maria Sotiropoulos), Paulding, C. (Charles), Penn, J. (John), Pradhan, M. (Manasi), Reid, J.G. (Jeffrey G.), Schleicher, T.D. (Thomas D.), Schurmann, C. (Claudia), Shuldiner, A. (Alan), Staples, J.C. (Jeffrey C.), Sun, D. (Dylan), Toledo, K. (Karina), Ulloa, R.H. (Ricardo H.), Widom, L. (Louis), Wolf, S.E. (Sarah E.), Yadav, A. (Ashish), Ye, B. (Bin), Rice, K.M. (Kenneth), Ridker, P.M. (Paul M.), Romaine, S.P.R. (Simon P. R.), Rotter, J.I. (Jerome I.), Salo, P. (Perttu), Salomaa, V. (Veikko), Setten, J. (Jessica) van, Shalaby, A.A. (Alaa A.), Smelser, D.T. (Diane T.), Smith, N.L. (Nicholas L.), Stender, S. (Steen), Stott, D.J. (David. J.), Svensson, P. (Per), Tammesoo, M.L., Taylor, K.D. (Kent D.), Teder-Laving, M. (Maris), Teumer, A. (Alexander), Thorgeirsson, G. (Guðmundur), Thorsteinsdottir, U. (Unnur), Torp-Pedersen, C. (Christian Tobias), Trompet, S. (Stella), Tyl, B. (Benoit), Uitterlinden, A.G. (Andre G.), Veluchamy, A. (Abirami), Völker, U. (Uwe), Voors, A.A. (Adriaan A.), Wang, X. (Xiaosong), Wareham, N.J. (Nick), Waterworth, D. (Dawn), Weeke, P.E. (Peter E.), Weiss, R. (Ram), Wiggins, K.L. (Kerri L.), Xing, H. (Heming), Yerges-Armstrong, L.M. (Laura), Yu, B. (Bing), Zannad, F. (Faiez), Zhao, J.H. (Jing Hua), Hemingway, H., Samani, N.J. (Nilesh J.), McMurray, J.J.V. (John J. V.), Yang, J. (Jian), Visscher, P.M. (Peter M.), Newton-Cheh, C. (Christopher), Mälarstig, A. (Anders), Holm, H. (Hilma), Lubitz, S.A. (Steven), Sattar, N. (Naveed), Holmes, M.V. (Michael), Cappola, T.P. (Thomas P.), Asselbergs, F.W. (Folkert), Hingorani, A. (Aroon), Kuchenbaecker, K.B. (Karoline), Ellinor, P.T. (Patrick), Lang, C.C. (Chim C.), Stefansson, K. (Kari), Smith, J.G. (J Gustav), Vasan, R.S. (Ramachandran Srini), Swerdlow, D.I. (Daniel), Lumbers, R.T. (R. Thomas), Shah, S. (Sonia), Henry, A. (Albert), Roselli, C. (Carolina), Lin, H. (Honghuang), Sveinbjörnsson, G. (Garðar), Fatemifar, G. (Ghazaleh), Hedman, A.K. (Asa), Wilk, J.B. (Jemma), Morley, M.P. (Michael P.), Chaffin, M.D. (Mark D.), Helgadottir, H.T. (Hafdis), Verweij, N. (Niek), Dehghan, A. (Abbas), Almgren, P. (Peter), Andersson, C. (Charlotte), Aragam, K.G. (Krishna G.), Ärnlöv, J. (Johan), Backman, J.D. (Joshua D.), Biggs, M.L. (Mary L.), Bloom, H.L. (Heather L.), Brandimarto, J. (Jeffrey), Brown, M.R. (Michael R.), Buckbinder, L. (Leonard), Carey, D.J. (David J.), Chasman, D.I. (Daniel I.), Chen, X. (Xing), Chen, X. (Xu), Chung, J. (Jonathan), Chutkow, W. (William), Cook, J.P. (James P.), Delgado, G., Denaxas, S. (Spiros), Doney, A.S.F. (Alex), Dörr, M. (Marcus), Dudley, S.C. (Samuel C.), Dunn, M.E. (Michael E.), Engström, G., Esko, T. (Tõnu), Felix, S.B. (Stephan B.), Finan, C. (Chris), Ford, I. (Ian), Ghanbari, M. (Mohsen), Ghasemi, S. (Sahar), Giedraitis, V. (Vilmantas), Giulianini, F. (Franco), Gottdiener, J.S. (John), Gross, S. (Stefan), Guðbjartsson, D.F. (Daníel F.), Gutmann, R. (Rebecca), Haggerty, C.M. (Christopher M.), Harst, P. (Pim) van der, Hyde, C.L. (Craig L.), Ingelsson, E. (Erik), Jukema, J.W. (Jan Wouter), Kavousi, M. (Maryam), Khaw, K.-T. (Kay-Tee), Kleber, M.E. (Marcus), Køber, L. (Lars), Koekemoer, A. (Andrea), Langenberg, C. (Claudia), Kao, W.H.L. (Wen), Lindgren, C.M. (Cecilia M.), London, B. (Barry), Lotta, L.A. (Luca A.), Lovering, R.C. (Ruth C.), Luan, J., Magnusson, P.K. (Patrik), Mahajan, A. (Anubha), Margulies, K.B. (Kenneth B.), Ye, S. (Shu), Melander, O. (Olle), Mordi, I.R. (Ify R.), Morgan, T. (Thomas), Morris, A.D. (Andrew D.), Morris, A.P. (Andrew), Morrison, A.C. (Alanna C.), Nagle, M.W. (Michael W.), Nelson, C.P. (Christopher P.), Niessner, A. (Alexander), Niiranen, T. (Teemu), O’Donoghue, M.L. (Michelle L.), Owens, A.T. (Anjali T.), Palmer, C.N.A. (Colin N. A.), Parry, H.M. (Helen M.), Perola, M. (Markus), Portilla-Fernandez, E. (Eliana), Psaty, B.M. (Bruce M.), Abecasis, G. (Goncalo), Backman, J. (Joshua), Bai, X. (Xiaodong), Balasubramanian, S. (Suganthi), Banerjee, N. (Nilanjana), Baras, A. (Aris), Barnard, L. (Leland), Beechert, C. (Christina), Blumenfeld, A. (Andrew), Cantor, M. (Michael), Chai, Y. (Yating), Coppola, G. (Giovanni), Damask, A. (Amy), Dewey, F. (Frederick), Economides, A. (Aris), Eom, G. (Gisu), Forsythe, C. (Caitlin), Fuller, E.D. (Erin D.), Gu, Z. (Zhenhua), Gurski, L. (Lauren), Guzzardo, P.M. (Paloma M.), Habegger, L. (Lukas), Hahn, Y. (Young), Hawes, A. (Alicia), van Hout, C. (Cristopher), Jones, M.B. (Marcus B.), Khalid, S. (Shareef), Lattari, M. (Michael), Li, A. (Alexander), Lin, N. (Nan), Liu, D. (Daren), Lopez, A. (Alexander), Manoochehri, K. (Kia), Marchini, J. (Jonathan), Marcketta, A. (Anthony), Maxwell, E.K. (Evan K.), McCarthy, S. (Shane), Mitnaul, L.J. (Lyndon), O’Dushlaine, C. (Colm), Overton, J.D. (John D.), Padilla, M.S. (Maria Sotiropoulos), Paulding, C. (Charles), Penn, J. (John), Pradhan, M. (Manasi), Reid, J.G. (Jeffrey G.), Schleicher, T.D. (Thomas D.), Schurmann, C. (Claudia), Shuldiner, A. (Alan), Staples, J.C. (Jeffrey C.), Sun, D. (Dylan), Toledo, K. (Karina), Ulloa, R.H. (Ricardo H.), Widom, L. (Louis), Wolf, S.E. (Sarah E.), Yadav, A. (Ashish), Ye, B. (Bin), Rice, K.M. (Kenneth), Ridker, P.M. (Paul M.), Romaine, S.P.R. (Simon P. R.), Rotter, J.I. (Jerome I.), Salo, P. (Perttu), Salomaa, V. (Veikko), Setten, J. (Jessica) van, Shalaby, A.A. (Alaa A.), Smelser, D.T. (Diane T.), Smith, N.L. (Nicholas L.), Stender, S. (Steen), Stott, D.J. (David. J.), Svensson, P. (Per), Tammesoo, M.L., Taylor, K.D. (Kent D.), Teder-Laving, M. (Maris), Teumer, A. (Alexander), Thorgeirsson, G. (Guðmundur), Thorsteinsdottir, U. (Unnur), Torp-Pedersen, C. (Christian Tobias), Trompet, S. (Stella), Tyl, B. (Benoit), Uitterlinden, A.G. (Andre G.), Veluchamy, A. (Abirami), Völker, U. (Uwe), Voors, A.A. (Adriaan A.), Wang, X. (Xiaosong), Wareham, N.J. (Nick), Waterworth, D. (Dawn), Weeke, P.E. (Peter E.), Weiss, R. (Ram), Wiggins, K.L. (Kerri L.), Xing, H. (Heming), Yerges-Armstrong, L.M. (Laura), Yu, B. (Bing), Zannad, F. (Faiez), Zhao, J.H. (Jing Hua), Hemingway, H., Samani, N.J. (Nilesh J.), McMurray, J.J.V. (John J. V.), Yang, J. (Jian), Visscher, P.M. (Peter M.), Newton-Cheh, C. (Christopher), Mälarstig, A. (Anders), Holm, H. (Hilma), Lubitz, S.A. (Steven), Sattar, N. (Naveed), Holmes, M.V. (Michael), Cappola, T.P. (Thomas P.), Asselbergs, F.W. (Folkert), Hingorani, A. (Aroon), Kuchenbaecker, K.B. (Karoline), Ellinor, P.T. (Patrick), Lang, C.C. (Chim C.), Stefansson, K. (Kari), Smith, J.G. (J Gustav), Vasan, R.S. (Ramachandran Srini), Swerdlow, D.I. (Daniel), and Lumbers, R.T. (R. Thomas)
Abstract: Heart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls. Twelve independent variants at 11 genomic loci are associated with HF, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function, suggesting shared genetic aetiology. Functional analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homoeostasis (BAG3), and cellular senescence (CDKN1A). Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension. These findings extend our knowledge of the pathways underlying HF and may inform new therapeutic strategies.
Published: 2020
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10. International trade, dietary change, and cardiovascular disease health outcomes : import tariff reform using an integrated macroeconomic, environmental and health modelling framework for Thailand

Author: Jensen, H.T., Keogh-Brown, M.R., Shankar, B., Aekplakorn, W., Basu, S., Cuevas, S., Dangour, A.D., Gheewala, S.H., Green, R., Joy, E., Rojroongwasinkul, N., Thaiprasert, N., and Smith, R.D.
Subjects: Import tariffs, lcsh:Public aspects of medicine, lcsh:RA1-1270, lcsh:H1-99, International trade, lcsh:Social sciences (General), CGE, Article, Simulation, health care economics and organizations, Diet
Abstract: United Nations (UN) member states have, since 2011, worked to address the emerging global NCD crisis, but progress has, so far, been insufficient. Food trade policy is recognised to have the potential to impact certain major diet-related health and environmental outcomes. We study the potential for using import tariff protection as a health and environmental policy instrument. Specifically, we apply a rigorous and consistent Macroeconomic-Environmental-Demographic-health (MED-health) simulation model framework to study fiscal food policy import tariffs and dietary change in Thailand over the future 20 year period 2016-2035. We find that the existing Thai tariff structure, by lowering imports, lowers agricultural Land Use Change (LUC)-related GHG emissions and protects against cholesterol-related cardiovascular disease (CVD). This confirms previous evidence that food trade, measured by import shares of food expenditures and caloric intakes, is correlated with unhealthy eating and adverse health outcomes among importing country populations. A continued drive towards tariff liberalization and economic efficiency in Thailand may therefore come at the expense of reduced health and environmental sustainability of food consumption and production systems. Due to large efficiency losses, the existing tariff structure is, however, not cost-effective as an environmental or health policy instrument. However, additional simulations confirm that stylized 30% food sector import tariffs generally improve nutritional, clinical health, demographic, and environmental indicators across the board. We also find that diet-related health improvements can go hand-in-hand with increased Saturated Fatty Acid (SFA) intakes. Despite limited cost-effectiveness, policy makers from Thailand and abroad, including WHO, would therefore be well advised to consider targeted fiscal food policy tariffs as a potential intervention to maintain combined health and environmental sustainability, and to reconsider the specification of WHO dietary guidelines with their focus on SFA intake (rather than composition of fatty acid intake) targets., Highlights • Fully integrated Macroeconomic-Environmental-Demographic-health model for Thailand. • Methodologically rigorous quantitative approach to analysing trade and health. • Existing Thai tariff structure protects against cholesterol-related CVD illness. • Food import tariffs generally improve nutritional, health and demographic outcomes. • Protective import tariffs generally lead to economic-environmental trade-offs.
Published: 2019

11. Evidence on the magnitude of the economic, health and population effects of palm cooking oil consumption : an integrated modelling approach with Thailand as a case study

Author: Keogh-Brown, M.R., Jensen, H.T., Basu, S., Aekplakorn, W., Cuevas, S., Dangour, A.D., Gheewala, S.H., Green, R., Joy, E.J.M., Rojroongwasinkul, N., Thaiprasert, N., Shankar, B., and Smith, R.D.
Abstract: Background\ud \ud Palm oil’s high yields, consequent low cost and highly versatile properties as a cooking oil and food ingredient have resulted in its thorough infiltration of the food sector in some countries. Longitudinal studies have associated palm oil’s high saturated fatty acid content with non-communicable disease, but neither the economic or disease burdens have been assessed previously.\ud \ud \ud \ud Methods\ud \ud This novel palm oil-focussed disease burden assessment employs a fully integrated health, macroeconomic and demographic Computable General Equilibrium Model for Thailand with nine regional (urban/rural) households. Nutritional changes from food consumption are endogenously translated into health (myocardial infarction (MI) and stroke) and population outcomes and are fed back into the macroeconomic model as health and caregiver-related productive labour supply effects and healthcare costs to generate holistic 2016–2035 burden estimates. Model scenarios mirror the replacement of palm cooking oil with other dietary oils and are compared with simulated total Thai health and macroeconomic burdens for MI and stroke.\ud \ud \ud \ud Results\ud \ud Replacing consumption of palm cooking oil with other dietary oils could reduce MI/stroke incident cases by 8280/2639 and cumulative deaths by 4683/894 over 20 years, removing approximately 0.5% of the total Thai burden of MI/stroke. This palm cooking oil replacement would reduce consumption shares of saturated/monounsaturated fatty acids in Thai household consumption by 6.5%/3% and increase polyunsaturated fatty acid consumption shares by 14%, yielding a 1.74% decrease in the population-wide total-to-HDL cholesterol ratio after 20 years. The macroeconomic burden that would be removed is US$308mn, approximately 0.44% of the total burden of MI/stroke on Thailand’s economy or 0.003% of cumulative 20-year GDP. Bangkok and Central region households benefit most from removal of disease burdens.\ud \ud \ud \ud Conclusions\ud \ud Simulations indicate that consumption of palm cooking oil, rather than other dietary oils, imposes a negative health burden (MI and stroke) and associated economic burden on a high consuming country, such as Thailand. Integrated sectoral model frameworks to assess these burdens are possible, and burden estimates from our simulated direct replacement of palm cooking oil indicate that using these frameworks both for broader analyses of dietary palm oil use and total burden analyses of other diseases may also be beneficial.
Published: 2019

12. Coupled virus - bacteria interactions and ecosystem function in an engineered microbial system

Author: Brown, M.R., Baptista, J.C., Lunn, M., Swan, D.L., Smith, S.J., Davenport, R.J., Allen, B.D., Sloan, W.T., and Curtis, T.P.
Abstract: Viruses are thought to control bacterial abundance, affect community composition and influence ecosystem function in natural environments. Yet their dynamics have seldom been studied in engineered systems, or indeed in any system, for long periods of time. We measured virus abundance in a full-scale activated sludge plant every week for two years. Total bacteria and ammonia oxidising bacteria (AOB) abundances, bacterial community profiles, and a suite of environmental and operational parameters were also monitored. Mixed liquor virus abundance fluctuated over an order of magnitude (3.18 × 108 – 3.41 × 109 virus’s mL-1) and that variation was statistically significantly associated with total bacterial and AOB abundance, community composition, and effluent concentrations of COD and NH4+- N and thus system function. This suggests viruses play a far more important role in the dynamics of activated sludge systems than previously realised and could be one of the key factors controlling bacterial abundance, community structure and functional stability and may cause reactors to fail. These finding are based on statistical associations, not mechanistic models. Nevertheless, viral associations with abiotic factors, such as pH, make physical sense giving credence to these findings and highlighting the role that physical factors play in virus ecology. Further work is needed to identify and quantify specific bacteriophage and their hosts to enable us to develop mechanistic models of the ecology of viruses in wastewater treatment systems. However, since we have shown that viruses can be related to effluent quality and virus quantification is simple and cheap, practitioners would probably benefit from quantifying viruses now.
Published: 2019

13. Palm oil and dietary change : application of an integrated macroeconomic, environmental, demographic, and health modelling framework for Thailand

Author: Jensen, H.T., Keogh-Brown, M.R., Shankar, B., Aekplakorn, W., Basu, S., Cuevas, S., Dangour, A.D., Gheewala, S.H., Green, R., Joy, E.J.M., Rojroongwasinkul, N., Thaiprasert, N., and Smith, R.D.
Subjects: food and beverages, health care economics and organizations
Abstract: Palm oil is a cooking oil and food ingredient in widespread use in the global food system. However, as a highly saturated fat, palm oil consumption has been associated with negative effects on cardiovascular health, while large scale oil palm production has been linked to deforestation. We construct an innovative fully integrated Macroeconomic-Environmental-Demographic-health (MED-health) model to undertake integrated health, environmental, and economic analyses of palm oil consumption and oil palm production in Thailand over the coming 20 years (2016–2035). In order to put a health and fiscal food policy perspective on policy priorities of future palm oil consumption growth, we model the implications of a 54% product-specific sales tax to achieve a halving of future energy intakes from palm cooking oil consumption. Total patient incidence and premature mortality from myocardial infarction and stroke decline by 0.03–0.16% and rural-urban equity in health and welfare improves in most regions. However, contrary to accepted wisdom, reduced oil palm production would not be environmentally beneficial in the Thailand case, since, once established, oil palms have favourable carbon sequestration characteristics compared to alternative uses of Thai cropland. The increased sales tax also provokes mixed economic impacts: While real GDP increases in a second-best Thai tax policy environment, relative consumption-to-investment price changes may reduce household welfare over extended periods unless accompanied by non-distortionary government compensation payments. Overall, our holistic approach demonstrates that product-specific fiscal food policy taxes may involve important trade-offs between nutrition, health, the economy, and the environment.
Published: 2019

14. Subquadrangles of order s of generalized quadrangles of order ( s, s2), Part II

Author: Brown, M.R. and Thas, J.A.
Published: 2004
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15. Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration

Author: Noordam, R. (Raymond), Bos, M.M. (Maxime M.), Wang, H. (Heming), Winkler, T.W. (Thomas W.), Bentley, A.R. (Amy), Kilpeläinen, T.O. (Tuomas O.), Vries, P.S. (Paul) de, Sung, Y.J. (Yun Ju), Schwander, K., Cade, B., Manning, A.K. (Alisa), Aschard, H. (Hugues), Brown, M.R., Chen, H. (Han), Franceschini, N. (Nora), Musani, S.K. (Solomon K.), Richard, M. (Melissa), Vojinović, D. (Dina), Aslibekyan, S. (Stella), Bartz, T.M. (Traci M.), de Las Fuentes, L. (Lisa), Feitosa, M.F. (Mary Furlan), Horimoto, A.R. (Andrea R.), Ilkov, M. (Marjan), Kho, M. (Minjung), Kraja, A. (Aldi), Li, C. (Changwei), Lim, E. (Elise), Liu, Y. (YongMei), Mook-Kanamori, D.O. (Dennis O.), Rankinen, T. (Tuomo), Tajuddin, S.M. (Salman M.), Spek, A. (Ashley) van der, Wang, Z. (Zhe), Marten, J. (Jonathan), Laville, V. (Vincent), Alver, M. (Maris), Evangelou, E. (Evangelos), Graff, M.E. (Maria E.), He, M. (Meian), Kuhnel, B. (Brigitte), Lyytikäinen, L.-P. (Leo-Pekka), Marques-Vidal, P. (Pedro), Nolte, I.M. (Ilja), Palmer, N.D. (Nicholette), Rauramaa, R. (Rainer), Shu, X.-O. (Xiao-Ou), Snieder, H. (Harold), Weiss, S. (Stefan), Wen, W. (Wanqing), Yanek, L.R. (Lisa), Adolfo, C. (Correa), Ballantyne, C. (Christie), Bielak, L.F. (Lawrence F.), Biermasz, N.R., Boerwinkle, E.A. (Eric), Dimou, N. (Niki), Eiriksdottir, G. (Gudny), Gao, C. (Chuan), Gharib, S.A. (Sina), Gottlieb, D.J. (Daniel J.), Haba-Rubio, J. (José), Harris, T.B. (Tamara), Heikkinen, S. (Sami), Heinzer, R. (Raphaël), Hixson, J.E. (James E.), Homuth, G. (Georg), Ikram, M.A. (Arfan), Komulainen, P. (Pirjo), Krieger, J.E. (José), Lee, J. (Jiwon), Liu, J. (Jingmin), Lohman, K.K. (Kurt K.), Luik, A.I. (Annemarie), Mägi, R. (Reedik), Martin, L.W. (Lisa), Meitinger, T. (Thomas), Metspalu, A. (Andres), Milaneschi, Y. (Yuri), Nalls, M.A. (Michael), O´Connell, J.R., Peters, A. (Annette), Peyser, P.A. (Patricia A.), Raitakari, O. (Olli), Reiner, A. (Alexander), Rensen, P.C.N. (Patrick), Rice, T.K. (Treva K.), Rich, S.S. (Stephen), Roenneberg, T., Rotter, J.I. (Jerome I.), Schreiner, P.J. (Pamela), Shikany, J. (James), Sidney, S.S. (Stephen S.), Sims, M. (Mario), Sitlani, C.M. (Colleen M.), Sofer, T. (Tamar), Strauch, K. (Konstantin), Swertz, M.A. (Morris A.), Taylor, K.D. (Kent), Uitterlinden, A.G. (André), Duijn, C.M. (Cornelia) van, Völzke, H. (Henry), Waldenberger, M. (Melanie), Wallance, R.B. (Robert B.), van Dijk, K.W. (Ko Willems), Yu, C. (Caizheng), Zonderman, A.B. (Alan B.), Becker, D.M. (Diane), Elliott, P. (Paul), Esko, T. (Tõnu), Gieger, C. (Christian), Grabe, H.J. (Hans Jörgen), Lakka, T.A. (Timo), Lehtimäki, T. (Terho), North, K.E. (Kari), Penninx, B.W.J.H. (Brenda), Vollenweider, P. (Peter), Wagenknecht, L.E. (Lynne), Wu, T. (Tangchun), Xiang, Y.-B. (Yong-Bing), Zheng, W. (Wei), Arnett, D.K. (Donna), Bouchard, C. (Claude), Evans, M.K. (Michele), Gudnason, V. (Vilmundur), Kardia, S.L.R. (Sharon), Kelly, T.N. (Tanika N.), Kritchevsky, S.B. (Stephen), Loos, R.J.F. (Ruth), Pereira, A. (A.), Province, M.A. (Mike), Psaty, B.M. (Bruce), Rotimi, C. (Charles), Zhu, X. (Xiaofeng), Amin, N. (Najaf), Cupples, L.A. (L Adrienne), Fornage, M. (Myriam), Fox, E.F. (Ervin F.), Guo, X. (Xiuqing), Gauderman, W.J. (W James), Rice, K.M. (Kenneth), Kooperberg, C. (Charles), Munroe, P. (Patricia), Liu, C.-T. (Ching-Ti), Morrison, A.C. (Alanna), Rao, D.C. (Dabeeru C.), Heemst, D. (Diana) van, Redline, S. (Susan), Noordam, R. (Raymond), Bos, M.M. (Maxime M.), Wang, H. (Heming), Winkler, T.W. (Thomas W.), Bentley, A.R. (Amy), Kilpeläinen, T.O. (Tuomas O.), Vries, P.S. (Paul) de, Sung, Y.J. (Yun Ju), Schwander, K., Cade, B., Manning, A.K. (Alisa), Aschard, H. (Hugues), Brown, M.R., Chen, H. (Han), Franceschini, N. (Nora), Musani, S.K. (Solomon K.), Richard, M. (Melissa), Vojinović, D. (Dina), Aslibekyan, S. (Stella), Bartz, T.M. (Traci M.), de Las Fuentes, L. (Lisa), Feitosa, M.F. (Mary Furlan), Horimoto, A.R. (Andrea R.), Ilkov, M. (Marjan), Kho, M. (Minjung), Kraja, A. (Aldi), Li, C. (Changwei), Lim, E. (Elise), Liu, Y. (YongMei), Mook-Kanamori, D.O. (Dennis O.), Rankinen, T. (Tuomo), Tajuddin, S.M. (Salman M.), Spek, A. (Ashley) van der, Wang, Z. (Zhe), Marten, J. (Jonathan), Laville, V. (Vincent), Alver, M. (Maris), Evangelou, E. (Evangelos), Graff, M.E. (Maria E.), He, M. (Meian), Kuhnel, B. (Brigitte), Lyytikäinen, L.-P. (Leo-Pekka), Marques-Vidal, P. (Pedro), Nolte, I.M. (Ilja), Palmer, N.D. (Nicholette), Rauramaa, R. (Rainer), Shu, X.-O. (Xiao-Ou), Snieder, H. (Harold), Weiss, S. (Stefan), Wen, W. (Wanqing), Yanek, L.R. (Lisa), Adolfo, C. (Correa), Ballantyne, C. (Christie), Bielak, L.F. (Lawrence F.), Biermasz, N.R., Boerwinkle, E.A. (Eric), Dimou, N. (Niki), Eiriksdottir, G. (Gudny), Gao, C. (Chuan), Gharib, S.A. (Sina), Gottlieb, D.J. (Daniel J.), Haba-Rubio, J. (José), Harris, T.B. (Tamara), Heikkinen, S. (Sami), Heinzer, R. (Raphaël), Hixson, J.E. (James E.), Homuth, G. (Georg), Ikram, M.A. (Arfan), Komulainen, P. (Pirjo), Krieger, J.E. (José), Lee, J. (Jiwon), Liu, J. (Jingmin), Lohman, K.K. (Kurt K.), Luik, A.I. (Annemarie), Mägi, R. (Reedik), Martin, L.W. (Lisa), Meitinger, T. (Thomas), Metspalu, A. (Andres), Milaneschi, Y. (Yuri), Nalls, M.A. (Michael), O´Connell, J.R., Peters, A. (Annette), Peyser, P.A. (Patricia A.), Raitakari, O. (Olli), Reiner, A. (Alexander), Rensen, P.C.N. (Patrick), Rice, T.K. (Treva K.), Rich, S.S. (Stephen), Roenneberg, T., Rotter, J.I. (Jerome I.), Schreiner, P.J. (Pamela), Shikany, J. (James), Sidney, S.S. (Stephen S.), Sims, M. (Mario), Sitlani, C.M. (Colleen M.), Sofer, T. (Tamar), Strauch, K. (Konstantin), Swertz, M.A. (Morris A.), Taylor, K.D. (Kent), Uitterlinden, A.G. (André), Duijn, C.M. (Cornelia) van, Völzke, H. (Henry), Waldenberger, M. (Melanie), Wallance, R.B. (Robert B.), van Dijk, K.W. (Ko Willems), Yu, C. (Caizheng), Zonderman, A.B. (Alan B.), Becker, D.M. (Diane), Elliott, P. (Paul), Esko, T. (Tõnu), Gieger, C. (Christian), Grabe, H.J. (Hans Jörgen), Lakka, T.A. (Timo), Lehtimäki, T. (Terho), North, K.E. (Kari), Penninx, B.W.J.H. (Brenda), Vollenweider, P. (Peter), Wagenknecht, L.E. (Lynne), Wu, T. (Tangchun), Xiang, Y.-B. (Yong-Bing), Zheng, W. (Wei), Arnett, D.K. (Donna), Bouchard, C. (Claude), Evans, M.K. (Michele), Gudnason, V. (Vilmundur), Kardia, S.L.R. (Sharon), Kelly, T.N. (Tanika N.), Kritchevsky, S.B. (Stephen), Loos, R.J.F. (Ruth), Pereira, A. (A.), Province, M.A. (Mike), Psaty, B.M. (Bruce), Rotimi, C. (Charles), Zhu, X. (Xiaofeng), Amin, N. (Najaf), Cupples, L.A. (L Adrienne), Fornage, M. (Myriam), Fox, E.F. (Ervin F.), Guo, X. (Xiuqing), Gauderman, W.J. (W James), Rice, K.M. (Kenneth), Kooperberg, C. (Charles), Munroe, P. (Patricia), Liu, C.-T. (Ching-Ti), Morrison, A.C. (Alanna), Rao, D.C. (Dabeeru C.), Heemst, D. (Diana) van, and Redline, S. (Susan)
Abstract: Both short and long sleep are associated with an adverse lipid profile, likely through different biological pathways. To elucidate the biology of sleep-associated adverse lipid profile, we conduct multi-ancestry genome-wide sleep-SNP interaction analyses on three lipid traits (HDL-c, LDL-c and triglycerides). In the total study sample (discovery + replication) of 126,926 individuals from 5 different ancestry groups, when considering either long or short total sleep time interactions in joint analyses, we identify 49 previously unreported lipid loci, and 10 additional previously unreported lipid loci in a restricted sample of European-ancestry cohorts. In addition, we identify new gene-sleep interactions for known lipid loci such as LPL and PCSK9. The previously unreported lipid loci have a modest explained variance in lipid levels: most notable, gene-short-sleep interactions explain 4.25% of the variance in triglyceride level. Collectively, these findings contribute to our understanding of the biological mechanisms involved in sleep-associated adverse lipid profiles.
Published: 2019
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16. Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions

Author: Vries, P.S. (Paul) de, Brown, M.R., Bentley, A.R. (Amy), Sung, Y.J. (Yun J.), Winkler, T.W. (Thomas W.), Ntalla, I. (Ioanna), Schwander, K., Kraja, A. (Aldi), Guo, X. (Xiuqing), Franceschini, N. (Nora), Cheng, C.-Y. (Ching-Yu), Sim, X. (Xueling), Vojinović, D. (Dina), Huffman, J.E. (Jennifer E.), Musani, S.K. (Solomon K.), Li, C. (Changwei), Feitosa, M.F. (Mary Furlan), Richard, M.A. (Melissa A.), Noordam, R. (Raymond), Aschard, H. (Hugues), Bartz, T.M. (Traci M.), Bielak, L.F. (Lawrence F.), Deng, X. (Xuan), Dorajoo, R. (Rajkumar), Lohman, K.K. (Kurt K.), Manning, A.K. (Alisa), Rankinen, T. (Tuomo), Smith, A.V. (Albert), Tajuddin, S.M. (Salman M.), Evangelou, E. (Evangelos), Graff, M.J. (Maud J.L.), Alver, M. (Maris), Boissel, M. (Mathilde), Chai, J.F. (Jin Fang), Chen, X. (Xu), Divers, J. (Jasmin), Gandin, I. (Ilaria), Gao, C. (Chuan), Goel, A. (Anuj), Hagemeijer, Y. (Yanick), Harris, S.E. (Sarah), Hartwig, F.P. (Fernando P.), He, M. (Meian), Horimoto, A.R.V.R. (Andrea R V R), Hsu, F.-C. (Fang-Chi), Jackson, A.U. (Anne), Kasturiratne, A. (Anuradhani), Komulainen, P. (Pirjo), Kuhnel, B. (Brigitte), Laguzzi, F. (Federica), Lee, J.H. (Joseph H.), Luan, J. (Jian'an), Lyytikäinen, L.-P. (Leo-Pekka), Matoba, N. (Nana), Nolte, I.M. (Ilja), Pietzner, M. (Maik), Riaz, M. (Muhammad), Said, M.A. (M Abdullah), Scott, R.A. (Robert), Sofer, T. (Tamar), Stancáková, A. (Alena), Takeuchi, F. (Fumihiko), Tayo, B. (Bamidele), Most, P.J. (Peter) van der, Varga, T.V. (Tibor V.), Wang, Y. (Yajuan), Ware, E.B. (Erin B.), Wen, W. (Wanqing), Yanek, L.R. (Lisa), Zhang, W. (Weihua), Zhao, J.H. (Jing Hua), Afaq, S. (Saima), Amin, N. (Najaf), Amini, M. (Marzyeh), Arking, D.E. (Dan), Aung, T. (Tin), Ballantyne, C. (Christie), Boerwinkle, E.A. (Eric), Broeckel, U. (Ulrich), Campbell, A. (Archie), Canouil, M. (Mickaël), Charumathi, S. (Sabanayagam), Chen, Y.D.I. (Yii-Der Ida), Connell, J. (John), Faire, U. (Ulf) de, de Las Fuentes, L. (Lisa), Mutsert, R. (Reneé) de, de Silva, H.J. (H Janaka), Ding, J. (Jingzhong), Dominiczak, A.F. (Anna F.), Duan, Q. (Qing), Eaton, C.B. (Charles B.), Eppinga, R.N. (Ruben N.), Faul, J.D. (Jessica D.), Fisher, V. (Virginia), Forrester, T. (Terrence), Franco, O.H. (Oscar), Friedlander, Y. (Yechiel), Ghanbari, M. (Mohsen), Giulianini, F. (Franco), Grabe, H.J. (Hans Jörgen), Grove, M.L. (Megan), Gu, C. (Charles), Harris, T.B. (Tamara), Heikkinen, S. (Sami), Heng, C.K. (Chew-Kiat), Hirata, M. (Makoto), Hixson, J.E. (James E.), Howard, B.V. (Barbara V.), Ikram, M.A. (Arfan), Jacobs, D.R. (David R.), Johnson, C. (Craig), Jonas, J.B., Kammerer, C.M. (Candace), Katsuya, T. (Tomohiro), Khor, C.C., Kilpeläinen, T.O. (Tuomas O.), Koh, W.-P. (Woon-Puay), Koistinen, H.A. (Heikki A.), Kolcic, I. (Ivana), Kooperberg, C. (Charles), Krieger, J.E. (José), Kritchevsky, S.B. (Steve B.), Kubo, M. (Michiaki), Kuusisto, J. (Johanna), Lakka, T.A. (Timo), Langefeld, C.D. (Carl), Langenberg, C. (Claudia), Launer, L.J. (Lenore), Lehne, B. (Benjamin), Lemaitre, R.N. (Rozenn ), Li, Y. (Yize), Liang, J. (Jingjing), Liu, J. (Jianjun), Liu, K. (Kiang), Loh, M. (Marie), Louie, T. (Tin), Mägi, R. (Reedik), Manichaikul, A.W. (Ani W.), McKenzie, C.A. (Colin A.), Meitinger, T. (Thomas), Metspalu, A. (Andres), Milaneschi, Y. (Yuri), Milani, L. (Lili), Mohlke, K.L. (Karen L.), Mosley, T.H. (Thomas H.), Mukamal, K. (Kenneth), Nalls, M.A. (Michael), Nauck, M. (Matthias), Nelson, C.P. (Christopher P.), Sotoodehnia, N. (Nona), O´Connell, J.R., Palmer, N.D. (Nicholette), Pazoki, R. (Raha), Pedersen, N.L. (Nancy), Peters, A. (Annette), Peyser, P.A. (Patricia A.), Polasek, O. (Ozren), Poulter, N.R. (Neil), Raffel, L.J. (Leslie J.), Raitakari, O. (Olli), Reiner, A.P. (Alex P.), Rice, T.K. (Treva K.), Rich, S.S. (Stephen), Robino, A. (Antonietta), Robinson, J.G. (Jennifer), Rose, L.M. (Lynda M.), Rudan, I. (Igor), Schmidt, C.O. (Carsten O.), Schreiner, P.J. (Pamela), Scott, W.R. (William R.), Sever, P. (Peter), Shi, Y. (Yuan), Sidney, S. (Stephen), Sims, M. (Mario), Smith, B.H. (Blair), Smith, J.A. (Jennifer A), Snieder, H. (Harold), Starr, J.M. (John), Strauch, K. (Konstantin), Tan, N. (Nicholas), Taylor, K.D. (Kent), Teo, Y.Y. (Yik Ying), Tham, Y.C. (Yih Chung), Uitterlinden, A.G. (André), Heemst, D. (Diana) van, Vuckovic, D. (Dragana), Waldenberger, M. (Melanie), Wang, L. (Lihua), Wang, Y. (Yujie), Wang, Z. (Zhe), Wei, W.B. (Wen Bin), Williams, C. (Christine), Wilson, G. (Gregory), Wojczynski, M.K. (Mary ), Yao, J. (Jie), Yu, B. (Bing), Yu, C. (Caizheng), Yuan, J.-M. (Jian-Min), Zhao, W. (Wei), Zonderman, A.B., Becker, D.M. (Diane), Boehnke, M. (Michael), Bowden, D.W. (Donald W.), Chambers, J.C. (John C.), Deary, I.J. (Ian), Esko, T. (Tõnu), Farrall, M. (Martin), Franks, P.W. (Paul W.), Freedman, B.I. (Barry), Froguel, P. (Philippe), Gasparini, P. (Paolo), Gieger, C. (Christian), Horta, B.L. (Bernardo L.), Kamatani, Y. (Yoichiro), Kato, N. (Norihiro), Kooner, J.S. (Jaspal S.), Laakso, M. (Markku), Leander, K. (Karin), Lehtimäki, T. (Terho), Magnusson, P.K. (Patrik), Penninx, B.W.J.H. (Brenda), Pereira, A.C. (Alexandre C.), Rauramaa, R. (Rainer), Samani, N.J. (Nilesh), Scott, J. (James), Shu, X.-O. (Xiao-Ou), Harst, P. (Pim) van der, Wagenknecht, L.E. (Lynne), Wang, Y.X. (Ya Xing), Wareham, N.J. (Nick), Watkins, H. (Hugh), Weir, D.R. (David R.), Wickremasinghe, A.R. (Ananda R.), Zheng, W. (Wei), Elliott, P. (Paul), North, K.E. (Kari), Bouchard, C. (Claude), Evans, M.K. (Michele), Gudnason, V. (Vilmundur), Liu, C.-T. (Ching-Ti), Liu, Y. (YongMei), Psaty, B.M. (Bruce M.), Jarvelin, M.-R. (Marjo-Riitta), Dam, R.M. (Rob) van, Kardia, S.L.R. (Sharon), Dominiczak, A. (Anna), Rotimi, C. (Charles), Mook-Kanamori, D.O. (Dennis O.), Fornage, M. (Myriam), Kelly, T.N. (Tanika N.), Fox, E.R. (Ervin R.), Hayward, C. (Caroline), Duijn, C.M. (Cornelia) van, Tai, E.S. (Shyong), Wong, T.Y. (Tien Yin), Liu, J. (Jingmin), Rotter, J.I. (Jerome I.), Gauderman, W.J. (W James), Province, M.A. (Michael A.), Munroe, P. (Patricia), Rice, K. (Kenneth), Chasman, D.I. (Daniel), Cupples, L.A. (L Adrienne), Tobin, M.D. (Martin), Morrison, A.C. (Alanna), Vries, P.S. (Paul) de, Brown, M.R., Bentley, A.R. (Amy), Sung, Y.J. (Yun J.), Winkler, T.W. (Thomas W.), Ntalla, I. (Ioanna), Schwander, K., Kraja, A. (Aldi), Guo, X. (Xiuqing), Franceschini, N. (Nora), Cheng, C.-Y. (Ching-Yu), Sim, X. (Xueling), Vojinović, D. (Dina), Huffman, J.E. (Jennifer E.), Musani, S.K. (Solomon K.), Li, C. (Changwei), Feitosa, M.F. (Mary Furlan), Richard, M.A. (Melissa A.), Noordam, R. (Raymond), Aschard, H. (Hugues), Bartz, T.M. (Traci M.), Bielak, L.F. (Lawrence F.), Deng, X. (Xuan), Dorajoo, R. (Rajkumar), Lohman, K.K. (Kurt K.), Manning, A.K. (Alisa), Rankinen, T. (Tuomo), Smith, A.V. (Albert), Tajuddin, S.M. (Salman M.), Evangelou, E. (Evangelos), Graff, M.J. (Maud J.L.), Alver, M. (Maris), Boissel, M. (Mathilde), Chai, J.F. (Jin Fang), Chen, X. (Xu), Divers, J. (Jasmin), Gandin, I. (Ilaria), Gao, C. (Chuan), Goel, A. (Anuj), Hagemeijer, Y. (Yanick), Harris, S.E. (Sarah), Hartwig, F.P. (Fernando P.), He, M. (Meian), Horimoto, A.R.V.R. (Andrea R V R), Hsu, F.-C. (Fang-Chi), Jackson, A.U. (Anne), Kasturiratne, A. (Anuradhani), Komulainen, P. (Pirjo), Kuhnel, B. (Brigitte), Laguzzi, F. (Federica), Lee, J.H. (Joseph H.), Luan, J. (Jian'an), Lyytikäinen, L.-P. (Leo-Pekka), Matoba, N. (Nana), Nolte, I.M. (Ilja), Pietzner, M. (Maik), Riaz, M. (Muhammad), Said, M.A. (M Abdullah), Scott, R.A. (Robert), Sofer, T. (Tamar), Stancáková, A. (Alena), Takeuchi, F. (Fumihiko), Tayo, B. (Bamidele), Most, P.J. (Peter) van der, Varga, T.V. (Tibor V.), Wang, Y. (Yajuan), Ware, E.B. (Erin B.), Wen, W. (Wanqing), Yanek, L.R. (Lisa), Zhang, W. (Weihua), Zhao, J.H. (Jing Hua), Afaq, S. (Saima), Amin, N. (Najaf), Amini, M. (Marzyeh), Arking, D.E. (Dan), Aung, T. (Tin), Ballantyne, C. (Christie), Boerwinkle, E.A. (Eric), Broeckel, U. (Ulrich), Campbell, A. (Archie), Canouil, M. (Mickaël), Charumathi, S. (Sabanayagam), Chen, Y.D.I. (Yii-Der Ida), Connell, J. (John), Faire, U. (Ulf) de, de Las Fuentes, L. (Lisa), Mutsert, R. (Reneé) de, de Silva, H.J. (H Janaka), Ding, J. (Jingzhong), Dominiczak, A.F. (Anna F.), Duan, Q. (Qing), Eaton, C.B. (Charles B.), Eppinga, R.N. (Ruben N.), Faul, J.D. (Jessica D.), Fisher, V. (Virginia), Forrester, T. (Terrence), Franco, O.H. (Oscar), Friedlander, Y. (Yechiel), Ghanbari, M. (Mohsen), Giulianini, F. (Franco), Grabe, H.J. (Hans Jörgen), Grove, M.L. (Megan), Gu, C. (Charles), Harris, T.B. (Tamara), Heikkinen, S. (Sami), Heng, C.K. (Chew-Kiat), Hirata, M. (Makoto), Hixson, J.E. (James E.), Howard, B.V. (Barbara V.), Ikram, M.A. (Arfan), Jacobs, D.R. (David R.), Johnson, C. (Craig), Jonas, J.B., Kammerer, C.M. (Candace), Katsuya, T. (Tomohiro), Khor, C.C., Kilpeläinen, T.O. (Tuomas O.), Koh, W.-P. (Woon-Puay), Koistinen, H.A. (Heikki A.), Kolcic, I. (Ivana), Kooperberg, C. (Charles), Krieger, J.E. (José), Kritchevsky, S.B. (Steve B.), Kubo, M. (Michiaki), Kuusisto, J. (Johanna), Lakka, T.A. (Timo), Langefeld, C.D. (Carl), Langenberg, C. (Claudia), Launer, L.J. (Lenore), Lehne, B. (Benjamin), Lemaitre, R.N. (Rozenn ), Li, Y. (Yize), Liang, J. (Jingjing), Liu, J. (Jianjun), Liu, K. (Kiang), Loh, M. (Marie), Louie, T. (Tin), Mägi, R. (Reedik), Manichaikul, A.W. (Ani W.), McKenzie, C.A. (Colin A.), Meitinger, T. (Thomas), Metspalu, A. (Andres), Milaneschi, Y. (Yuri), Milani, L. (Lili), Mohlke, K.L. (Karen L.), Mosley, T.H. (Thomas H.), Mukamal, K. (Kenneth), Nalls, M.A. (Michael), Nauck, M. (Matthias), Nelson, C.P. (Christopher P.), Sotoodehnia, N. (Nona), O´Connell, J.R., Palmer, N.D. (Nicholette), Pazoki, R. (Raha), Pedersen, N.L. (Nancy), Peters, A. (Annette), Peyser, P.A. (Patricia A.), Polasek, O. (Ozren), Poulter, N.R. (Neil), Raffel, L.J. (Leslie J.), Raitakari, O. (Olli), Reiner, A.P. (Alex P.), Rice, T.K. (Treva K.), Rich, S.S. (Stephen), Robino, A. (Antonietta), Robinson, J.G. (Jennifer), Rose, L.M. (Lynda M.), Rudan, I. (Igor), Schmidt, C.O. (Carsten O.), Schreiner, P.J. (Pamela), Scott, W.R. (William R.), Sever, P. (Peter), Shi, Y. (Yuan), Sidney, S. (Stephen), Sims, M. (Mario), Smith, B.H. (Blair), Smith, J.A. (Jennifer A), Snieder, H. (Harold), Starr, J.M. (John), Strauch, K. (Konstantin), Tan, N. (Nicholas), Taylor, K.D. (Kent), Teo, Y.Y. (Yik Ying), Tham, Y.C. (Yih Chung), Uitterlinden, A.G. (André), Heemst, D. (Diana) van, Vuckovic, D. (Dragana), Waldenberger, M. (Melanie), Wang, L. (Lihua), Wang, Y. (Yujie), Wang, Z. (Zhe), Wei, W.B. (Wen Bin), Williams, C. (Christine), Wilson, G. (Gregory), Wojczynski, M.K. (Mary ), Yao, J. (Jie), Yu, B. (Bing), Yu, C. (Caizheng), Yuan, J.-M. (Jian-Min), Zhao, W. (Wei), Zonderman, A.B., Becker, D.M. (Diane), Boehnke, M. (Michael), Bowden, D.W. (Donald W.), Chambers, J.C. (John C.), Deary, I.J. (Ian), Esko, T. (Tõnu), Farrall, M. (Martin), Franks, P.W. (Paul W.), Freedman, B.I. (Barry), Froguel, P. (Philippe), Gasparini, P. (Paolo), Gieger, C. (Christian), Horta, B.L. (Bernardo L.), Kamatani, Y. (Yoichiro), Kato, N. (Norihiro), Kooner, J.S. (Jaspal S.), Laakso, M. (Markku), Leander, K. (Karin), Lehtimäki, T. (Terho), Magnusson, P.K. (Patrik), Penninx, B.W.J.H. (Brenda), Pereira, A.C. (Alexandre C.), Rauramaa, R. (Rainer), Samani, N.J. (Nilesh), Scott, J. (James), Shu, X.-O. (Xiao-Ou), Harst, P. (Pim) van der, Wagenknecht, L.E. (Lynne), Wang, Y.X. (Ya Xing), Wareham, N.J. (Nick), Watkins, H. (Hugh), Weir, D.R. (David R.), Wickremasinghe, A.R. (Ananda R.), Zheng, W. (Wei), Elliott, P. (Paul), North, K.E. (Kari), Bouchard, C. (Claude), Evans, M.K. (Michele), Gudnason, V. (Vilmundur), Liu, C.-T. (Ching-Ti), Liu, Y. (YongMei), Psaty, B.M. (Bruce M.), Jarvelin, M.-R. (Marjo-Riitta), Dam, R.M. (Rob) van, Kardia, S.L.R. (Sharon), Dominiczak, A. (Anna), Rotimi, C. (Charles), Mook-Kanamori, D.O. (Dennis O.), Fornage, M. (Myriam), Kelly, T.N. (Tanika N.), Fox, E.R. (Ervin R.), Hayward, C. (Caroline), Duijn, C.M. (Cornelia) van, Tai, E.S. (Shyong), Wong, T.Y. (Tien Yin), Liu, J. (Jingmin), Rotter, J.I. (Jerome I.), Gauderman, W.J. (W James), Province, M.A. (Michael A.), Munroe, P. (Patricia), Rice, K. (Kenneth), Chasman, D.I. (Daniel), Cupples, L.A. (L Adrienne), Tobin, M.D. (Martin), and Morrison, A.C. (Alanna)
Abstract: A person's lipid profile is influenced by genetic variants and alcohol consumption, but the contribution of interactions between these exposures has not been studied. We therefore incorporated gene-alcohol interactions into a multiancestry genome-wide association study of levels of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides. We included 45 studies in stage 1 (genome-wide discovery) and 66 studies in stage 2 (focused follow-up), for a total of 394,584 individuals from 5 ancestry groups. Analyses covered the period July 2014-November 2017. Genetic main effects and interaction effects were jointly assessed by means of a 2-degrees-of-freedom (df) test, and a 1-df test was used to assess the interaction effects alone. Variants at 495 loci were at least suggestively associated (P < 1 × 10-6) with lipid levels in stage 1 and were evaluated in stage 2, followed by combined analyses of stage 1 and stage 2. In the combined analysis of stages 1 and 2, a total of 147 independent loci were associated with lipid levels at P < 5 × 10-8 using 2-df tests, of which 18 were novel. No genome-wide-significant associations were found testing the interaction effect alone. The novel loci included several genes (proprotein convertase subtilisin/kexin type 5 (PCSK5), vascular endothelial growth factor B (VEGFB), and apolipoprotein B mRNA editing enzyme, catalytic polypeptide 1 (APOBEC1) complementation factor (A1CF)) that have a putative role in lipid metabolism on the basis of existing evidence from cellular and experimental models.
Published: 2019
Full Text: View/download PDF

17. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity

Author: Kilpeläinen, T.O. (Tuomas), Bentley, A.R. (Amy), Noordam, R., Sung, YJ, Schwander, K., Winkler, T.W. (Thomas), Jakupovic, H., Chasman, D.I. (Daniel), Manning, A., Ntalla, I. (Ioanna), Aschard, H. (Hugues), Brown, M.R., de Las Fuentes, L., Franceschini, N. (Nora), Guo, X. (Xiuqing), Vojinovic, D., Aslibekyan, S, Feitosa, M.F. (Mary Furlan), Kho, M., Musani, SK, Richard, M., Wang, H.M., Wang, Z. (Zhen), Bartz, TM, Bielak, L.F. (Lawrence F.), Campbell, A. (Archie), Dorajoo, R. (Rajkumar), Fisher, V., Hartwig, F.P., Horimoto, A., Li, C.W., Lohman, K. (Kurt), Marten, J, Sim, XL, Smith, A.V. (Davey), Tajuddin, S. M., Alver, M, Amini, M., Boissel, M., Chai, J.F., Chen, X. (Xishu), Divers, J, Evangelou, E. (Evangelos), Gao, C. (Cheng), Graff, M.J. (Maud J.L.), Harris, S.E. (Sarah), He, M. (Meian), Hsu, F.-C. (Fang-Chi), Jackson, A.U. (Anne), Zhao, J.H. (Jing Hua), Kraja, A. (Aldi), Kuhnel, B. (Brigitte), Laguzzi, F., Lyytikäinen, L.-P. (Leo-Pekka), Nolte, IM, Rauramaa, R. (Rainer), Riaz, M. (Muhammad), Robino, A. (Antonietta), Rueedi, R, Stringham, H.M. (Heather), Takeuchi, F, Most, P.J. (Peter) van der, Varga, T.V. (Tibor), Verweij, N. (Niek), Ware, EB, Wen, WQ, Li, X. Y., Yanek, L.R. (Lisa), Amin, N. (Najaf), Arnett, D.K. (Donna), Boerwinkle, E.A. (Eric), Brumat, M., Cade, B, Canouil, M., Chen, Y.D.I. (Yii-Der Ida), Concas, MP, Connell, J. (John), Mutsert, R. (Reneé) de, de Silva, H.J., de Vries, PS, Demirkan, A. (Ayşe), Ding, J. (Jingzhong), Eaton, CB, Faul, J.D. (Jessica), Friedlander, Y. (Yechiel), Gabriel, K.P., Ghanbari, M., Giulianini, F. (Franco), Gu, C.C., Gu, DF, Harris, T.B. (Tamara), He, J. (Jing), Heikkinen, S., Heng, C.K. (Chew-Kiat), Hunt, S.C. (Steven), Ikram, M.A. (Arfan), Jonas, J.B., Koh, WP, Komulainen, P. (Pirjo), Krieger, J.E. (José), Kritchevsky, S.B. (Stephen), Kutalik, Z. (Zoltán), Kuusisto, J. (Johanna), Langefeld, C.D. (Carl), Langenberg, C. (Claudia), Launer, LJ, Leander, K. (Karin), Lemaitre, R.N. (Rozenn ), Lewis, CE, Liang, J.J., Alizadeh, BZ, Boezen, H.M. (Marike), Franke, L. (Lude), Navis, G. (Gerjan), Rots, M., Swertz, M. (Morris), Wolffenbuttel, B.H.R. (Bruce), Wijmenga, C. (Cisca), Liu, J. (Jianjun), Maagi, R., Manichaikul, A. (Ani), Meitinger, T. (Thomas), Metspalu, A. (Andres), Milaneschi, Y. (Yuri), Mohlke, K.L. (Karen), Mosley, T.H. (Thomas), Murray, A.D., Nalls, M.A. (Michael), Nang, EEK, Nelson, C.P. (Christopher), Nona, S., Norris, JM, Nwuba, C.V., O´Connell, J.R., Palmer, N.D. (Nicholette), Papanicolau, GJ, Pazoki, R. (Raha), Pedersen, N.L. (Nancy), Peters, A. (Annette), Peyser, P.A. (Patricia A.), Polasek, O. (Ozren), Porteous, D.J. (David J.), Poveda, A. (Andrés), Raitakari, OT, Rich, S.S. (Stephen), Risch, N., Robinson, JG, Rose, L.M. (Lynda), Rudan, I. (Igor), Schreiner, PJ, Scott, L.J. (Laura), Sidney, SS, Sims, M, Smith, J.A. (Jennifer A), Snieder, H. (Harold), Sofer, T., Starr, J.M. (John), Sternfeld, B., Strauch, K. (Konstantin), Tang, H. (Hui), Taylor, K.D. (Kent), Tsai, M.Y. (Michael), Tuomilehto, J. (Jaakko), Uitterlinden, A.G. (André), van der Ende, M.Y., Heemst, D. van, Voortman, R.G. (Trudy), Waldenberger, M. (Melanie), Wennberg, P. (Patrik), Wilson, G, Xiang, YB, Yao, J, Yu, C.Z., Yuan, JM, Zhao, W. (Wei), Zonderman, A.B. (Alan), Becker, D.M. (Diane), Boehnke, M. (Michael), Bowden, DW, Faire, U. (Ulf) de, Deary, I.J. (Ian), Elliott, P.M. (Perry), Esko, T. (Tõnu), Freedman, B.I. (Barry), Froguel, P. (Philippe), Gasparini, P. (Paolo), Gieger, C. (Christian), Kato, N, Laakso, M. (Markku), Lakka, T.A. (Timo), Lehtimaki, T, Magnusson, P.K. (Patrik), Oldenhinkel, A.J. (A.), Penninx, B.W.J.H. (Brenda), Samani, N.J. (Nilesh), Shu, X.-O. (Xiao-Ou), Harst, P. (Pim) van der, Vliet-Ostaptchouk, J.V. (Jana) van, Vollenweider, P. (Peter), Wagenknecht, L.E. (Lynne), Wang, Y. (Ying), Wareham, N.J. (Nick), Weir, D.R. (David), Wu, TC, Zheng, W. (Wei), Zhu, X. (Xiaofeng), Evans, MK, Franks, P.W. (Paul), Guonason, V. (Vilmundur), Hayward, C. (Caroline), Horta, BL, Kelly, TN, Liu, Y. (YongMei), North, K.E. (Kari), Pereira, AC, Ridker, P.M. (Paul), Tai, E.S. (Shyong), Dam, R.M. (Rob) van, Fox, E.R. (Ervin), Kardia, S.L.R. (Sharon), Liu, C.-T. (Ching-Ti), Mook-Kanamori, D.O. (Dennis), Province, M.A. (Mike), Redline, S. (Susan), Duijn, C.M., Rotter, J.I. (Jerome), Kooperberg, C.B., Gauderman, W.J. (W James), Psaty, B.M. (Bruce), Rice, K, Munroe, P. (Patricia), Fornage, M. (Myriam), Cupples, L.A. (Adrienne), Rotimi, CN, Morrison, A.C. (Alanna), Rao, D.C. (Dabeeru C.), Loos, R.J.F. (Ruth), Kilpeläinen, T.O. (Tuomas), Bentley, A.R. (Amy), Noordam, R., Sung, YJ, Schwander, K., Winkler, T.W. (Thomas), Jakupovic, H., Chasman, D.I. (Daniel), Manning, A., Ntalla, I. (Ioanna), Aschard, H. (Hugues), Brown, M.R., de Las Fuentes, L., Franceschini, N. (Nora), Guo, X. (Xiuqing), Vojinovic, D., Aslibekyan, S, Feitosa, M.F. (Mary Furlan), Kho, M., Musani, SK, Richard, M., Wang, H.M., Wang, Z. (Zhen), Bartz, TM, Bielak, L.F. (Lawrence F.), Campbell, A. (Archie), Dorajoo, R. (Rajkumar), Fisher, V., Hartwig, F.P., Horimoto, A., Li, C.W., Lohman, K. (Kurt), Marten, J, Sim, XL, Smith, A.V. (Davey), Tajuddin, S. M., Alver, M, Amini, M., Boissel, M., Chai, J.F., Chen, X. (Xishu), Divers, J, Evangelou, E. (Evangelos), Gao, C. (Cheng), Graff, M.J. (Maud J.L.), Harris, S.E. (Sarah), He, M. (Meian), Hsu, F.-C. (Fang-Chi), Jackson, A.U. (Anne), Zhao, J.H. (Jing Hua), Kraja, A. (Aldi), Kuhnel, B. (Brigitte), Laguzzi, F., Lyytikäinen, L.-P. (Leo-Pekka), Nolte, IM, Rauramaa, R. (Rainer), Riaz, M. (Muhammad), Robino, A. (Antonietta), Rueedi, R, Stringham, H.M. (Heather), Takeuchi, F, Most, P.J. (Peter) van der, Varga, T.V. (Tibor), Verweij, N. (Niek), Ware, EB, Wen, WQ, Li, X. Y., Yanek, L.R. (Lisa), Amin, N. (Najaf), Arnett, D.K. (Donna), Boerwinkle, E.A. (Eric), Brumat, M., Cade, B, Canouil, M., Chen, Y.D.I. (Yii-Der Ida), Concas, MP, Connell, J. (John), Mutsert, R. (Reneé) de, de Silva, H.J., de Vries, PS, Demirkan, A. (Ayşe), Ding, J. (Jingzhong), Eaton, CB, Faul, J.D. (Jessica), Friedlander, Y. (Yechiel), Gabriel, K.P., Ghanbari, M., Giulianini, F. (Franco), Gu, C.C., Gu, DF, Harris, T.B. (Tamara), He, J. (Jing), Heikkinen, S., Heng, C.K. (Chew-Kiat), Hunt, S.C. (Steven), Ikram, M.A. (Arfan), Jonas, J.B., Koh, WP, Komulainen, P. (Pirjo), Krieger, J.E. (José), Kritchevsky, S.B. (Stephen), Kutalik, Z. (Zoltán), Kuusisto, J. (Johanna), Langefeld, C.D. (Carl), Langenberg, C. (Claudia), Launer, LJ, Leander, K. (Karin), Lemaitre, R.N. (Rozenn ), Lewis, CE, Liang, J.J., Alizadeh, BZ, Boezen, H.M. (Marike), Franke, L. (Lude), Navis, G. (Gerjan), Rots, M., Swertz, M. (Morris), Wolffenbuttel, B.H.R. (Bruce), Wijmenga, C. (Cisca), Liu, J. (Jianjun), Maagi, R., Manichaikul, A. (Ani), Meitinger, T. (Thomas), Metspalu, A. (Andres), Milaneschi, Y. (Yuri), Mohlke, K.L. (Karen), Mosley, T.H. (Thomas), Murray, A.D., Nalls, M.A. (Michael), Nang, EEK, Nelson, C.P. (Christopher), Nona, S., Norris, JM, Nwuba, C.V., O´Connell, J.R., Palmer, N.D. (Nicholette), Papanicolau, GJ, Pazoki, R. (Raha), Pedersen, N.L. (Nancy), Peters, A. (Annette), Peyser, P.A. (Patricia A.), Polasek, O. (Ozren), Porteous, D.J. (David J.), Poveda, A. (Andrés), Raitakari, OT, Rich, S.S. (Stephen), Risch, N., Robinson, JG, Rose, L.M. (Lynda), Rudan, I. (Igor), Schreiner, PJ, Scott, L.J. (Laura), Sidney, SS, Sims, M, Smith, J.A. (Jennifer A), Snieder, H. (Harold), Sofer, T., Starr, J.M. (John), Sternfeld, B., Strauch, K. (Konstantin), Tang, H. (Hui), Taylor, K.D. (Kent), Tsai, M.Y. (Michael), Tuomilehto, J. (Jaakko), Uitterlinden, A.G. (André), van der Ende, M.Y., Heemst, D. van, Voortman, R.G. (Trudy), Waldenberger, M. (Melanie), Wennberg, P. (Patrik), Wilson, G, Xiang, YB, Yao, J, Yu, C.Z., Yuan, JM, Zhao, W. (Wei), Zonderman, A.B. (Alan), Becker, D.M. (Diane), Boehnke, M. (Michael), Bowden, DW, Faire, U. (Ulf) de, Deary, I.J. (Ian), Elliott, P.M. (Perry), Esko, T. (Tõnu), Freedman, B.I. (Barry), Froguel, P. (Philippe), Gasparini, P. (Paolo), Gieger, C. (Christian), Kato, N, Laakso, M. (Markku), Lakka, T.A. (Timo), Lehtimaki, T, Magnusson, P.K. (Patrik), Oldenhinkel, A.J. (A.), Penninx, B.W.J.H. (Brenda), Samani, N.J. (Nilesh), Shu, X.-O. (Xiao-Ou), Harst, P. (Pim) van der, Vliet-Ostaptchouk, J.V. (Jana) van, Vollenweider, P. (Peter), Wagenknecht, L.E. (Lynne), Wang, Y. (Ying), Wareham, N.J. (Nick), Weir, D.R. (David), Wu, TC, Zheng, W. (Wei), Zhu, X. (Xiaofeng), Evans, MK, Franks, P.W. (Paul), Guonason, V. (Vilmundur), Hayward, C. (Caroline), Horta, BL, Kelly, TN, Liu, Y. (YongMei), North, K.E. (Kari), Pereira, AC, Ridker, P.M. (Paul), Tai, E.S. (Shyong), Dam, R.M. (Rob) van, Fox, E.R. (Ervin), Kardia, S.L.R. (Sharon), Liu, C.-T. (Ching-Ti), Mook-Kanamori, D.O. (Dennis), Province, M.A. (Mike), Redline, S. (Susan), Duijn, C.M., Rotter, J.I. (Jerome), Kooperberg, C.B., Gauderman, W.J. (W James), Psaty, B.M. (Bruce), Rice, K, Munroe, P. (Patricia), Fornage, M. (Myriam), Cupples, L.A. (Adrienne), Rotimi, CN, Morrison, A.C. (Alanna), Rao, D.C. (Dabeeru C.), and Loos, R.J.F. (Ruth)
Abstract: Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120,979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131,012 individuals. We find four loci, in/near CLASP1, LHX1, SNTA1, and CNTNAP2, that are associated with circulating lipid levels through interaction with physical activity; higher levels of physical activity enhance the HDL cholesterol-increasing effects of the CLASP1, LHX1, and SNTA1 loci and attenuate the LDL cholesterol-increasing effect of the CNTNAP2 l
Published: 2019
Full Text: View/download PDF

18. Elastase exocytosis by airway neutrophils is associated with early lung damage in children with cystic fibrosis

Author: Margaroli, C., Garratt, L.W., Horati, H., Dittrich, A.S., Rosenow, T., Montgomery, S.T., Frey, D.L., Brown, M.R., Schultz, C., Guglani, L., Kicic, Anthony, Peng, L., Scholte, B.J., Mall, M.A., Janssens, H.M., Stick, S.M., Tirouvanziam, R., Margaroli, C., Garratt, L.W., Horati, H., Dittrich, A.S., Rosenow, T., Montgomery, S.T., Frey, D.L., Brown, M.R., Schultz, C., Guglani, L., Kicic, Anthony, Peng, L., Scholte, B.J., Mall, M.A., Janssens, H.M., Stick, S.M., and Tirouvanziam, R.
Abstract: Copyright © 2019 by the American Thoracic Society. Rationale: Neutrophils are recruited to the airways of individuals with cystic fibrosis (CF). In adolescents and adults with CF, airway neutrophils actively exocytose the primary granule protease elastase (NE), whose extracellular activity correlates with lung damage. During childhood, free extracellular NE activity is measurable only in a subset of patients, and the exocytic function of airway neutrophils is unknown. Objectives: To measure NE exocytosis by airway neutrophils in relation to free extracellular NE activity and lung damage in children with CF. Methods: We measured lung damage using chest computed tomography coupled with the Perth-Rotterdam Annotated Grid Morphometric Analysis for Cystic Fibrosis scoring system. Concomitantly, we phenotyped blood and BAL fluid leukocytes by flow and image cytometry, and measured free extracellular NE activity using spectrophotometric and Förster resonance energy transfer assays. Children with airway inflammation linked to aerodigestive disorder were enrolled as control subjects. Measurements and Main Results: Children with CF but not disease control children harbored BAL fluid neutrophils with high exocytosis of primary granules, before the detection of bronchiectasis. This measure of NE exocytosis correlated with lung damage (R = 0.55; P = 0.0008), whereas the molecular measure of free extracellular NE activity did not. This discrepancy may be caused by the inhibition of extracellular NE by BAL fluid antiproteases and its binding to leukocytes. Conclusions: NE exocytosis by airway neutrophils occurs in all children with CF, and its cellular measure correlates with early lung damage. These findings implicate live airway neutrophils in early CF pathogenesis, which should instruct biomarker development and antiinflammatory therapy in children with CF.
Published: 2019

19. Grasshopper crop and midgut extract effects on plants: an example of reward feedback

Author: Dyer, M.I., Moon, A.M., Brown, M.R., and Crossley, D.A., Jr.
Subjects: Locusts -- Research, Plant hormones -- Research, Epidermal growth factor -- Research, Herbivores -- Research, Science and technology
Abstract: A study has been conducted to show that insect herbivores contain peptides that induce plant responses. Acid extracts from crop and midgut tissues of the grasshopper, Romalea guttata, induced coleoptile growth in sorghum 49% above untreated controls. Combining the extracts with indole-3-acetic acid (IAA) showed increases in growth 295% above untreated controls and 8% above IAA standards. These results suggest a synergistic activity between the acid extract and the plant hormone, suggesting that a positive feedback mechanism exists between insects and plants.
Published: 1995

20. Mutation of the POU-specific domain of Pit-1 and hypopituitarism without pituitary hypoplasia

Author: Pfaffle, R.W., DiMattia, G.E., Parks, J.S., Brown, M.R., Wit, J.M., Jansen, M., Nat, H. van der, Brande, J.L. van den, Rosenfeld, M.G., and Ingraham, H.A.
Subjects: Hypopituitarism -- Genetic aspects -- Research, Genetic transcription -- Research -- Genetic aspects, Science and technology, Genetic aspects, Research
Abstract: A point mutation in the POU-specific portion of the human gene that encodes the tissue-specific POU-domain transcription factor, Pit-1, results in hypopituitarism, with deficiencies of growth hormone, prolactin, and thyroid-stimulating hormone. In two unrelated Dutch families, a mutation in Pit-1 that altered an alanine in the first putative [Alpha] helix of the POU-specific domain to proline was observed. This mutation generated a protein capable of binding to DNA response elements but unable to effectively activate its known target genes, growth hormone and prolactin. The phenotype of the affected individuals suggests that the routant Pit-1 protein is competent to initiate other programs of gene activation required for normal proliferation of sornatotrope, lactotrope, and thyrotrope cell types. Thus, a mutation in the POU-specific domain of Pit-1 has a selective effect on a subset of Pit-1 target genes., The pituitary transcription factor Pit-1 is part of the large POU-domain gene family defined by a highly conserved, bipartite DNA binding domain that consists of the POU-specific domain (POU-S) and [...]
Published: 1992

21. Maximal partial spreads of [formula omitted] and [formula omitted]

Author: Brown, M.R., De Beule, J., and Storme, L.
Published: 2003
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22. Assessment of the stress relaxation characteristics of critical gels formed under unidirectional shear flow by controlled stress parallel superposition rheometry

Author: Curtis, D.J., Badiei, N., Holder, A., Claypole, J., Deganello, D., Brown, M.R., Lawrence, M.J., Evans, P.A., Williams, P.R., and Hawkins, K.
Subjects: Critical gel, Controlled stress parallel superposition, Materials Science(all), Mechanical Engineering, Applied Mathematics, Chemical Engineering(all), Gel Point, Condensed Matter Physics
Abstract: Processes involving a unidirectional shear flow component are widespread in industrial manufacturing techniques such as printing and coating, or in physiological events such as blood coagulation. Standard rheometric techniques are usually employed under quiescent conditions and as such are inappropriate for the study of microstructural modification induced by the presence of a unidirectional shear flow. We demonstrate how controlled stress parallel superposition (CSPS) may be exploited to enable accurate detection of the Gel Point and analysis of Gel Point parameters for systems undergoing a viscoelastic liquid (VEL) to viscoelastic solid (VES) transition in the presence of a unidirectional flow field. Specifically, we note that certain features of the CSPS experiment, when performed near the Gel Point, may obviate previously reported concerns regarding the experiment. A biopolymer system (gelatin) which forms gels by thermoreversible gelation is employed as a model gelling material to confirm the ability of CSPS to characterise the stress relaxation characteristics of critical-gels in the presence of (a) progressively decreasing and (b) progressively increasing unidirectional strain rate and oscillatory strain amplitude. Additional validation of CSPS results is reported for a silicone dielectric gel used in the industrial production of printed electronic products. Finally, CSPS is used to investigate microstructural modification of fibrin–thrombin gels as a consequence of clot formation under a unidirectional shear stress. The results confirm the validity of the CSPS technique in gelation studies and the technique is used, for the first time, to directly record the thermally induced VES to VEL transition in aqueous gelatin systems.
Published: 2015
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23. Flow cytometric quantification of viruses in activated sludge

Author: Brown, M.R., Camézuli, S., Davenport, R.J., Petelenz-Kurdziel, E., Øvreås, L., Curtis, T.P., Hydrosciences Montpellier (HSM), and Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Ecological Modelling, Activated sludge, Viruses, Flow cytometry, Wastewater treatment, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, Waste Management and Disposal, Pollution, Water Science and Technology
Abstract: International audience; Viruses may play a critical role in the microbial dynamics of activated sludge systems; however the difficulty of their quantification makes long term and large scale studies costly, timely and challenging. Thus a flow cytometric protocol was optimised and employed to determine virus abundance in activated sludge samples. The best flow cytometry signature and highest virus count was obtained by separating the indigenous floc-associated viruses using Tween 80 and sodium pyrophosphate, diluting the sample with Tris\textendashEDTA and staining with SYBR Green II. Using the optimised protocol viral concentrations from 25 activated sludge plants were determined, with average concentrations of 2.35~\texttimes~109~mL-1 observed. Direct counts by transmission electron microscopy were highly correlated with flow cytometric counts (p~=~\textless0.05 and r2~=~0.77), with concentrations from both quantification methods comparable at the order of magnitude level. The high counting efficiency, ease of preparation and rapidity and reproducibility of analysis makes flow cytometric quantification of viruses in activated sludge ideal for routine investigation and thus invaluable in unravelling the complexity of phage host interactions in such systems.
Published: 2015
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24. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K i

Author: Feitosa, M.F. (Mary Furlan), Kraja, A. (Aldi), Chasman, D.I. (Daniel), Sung, Y.J. (Yun J.), Winkler, T.W. (Thomas W.), Ntalla, I. (Ioanna), Guo, X. (Xiuqing), Franceschini, N. (Nora), Cheng, C.-Y. (Ching-Yu), Sim, X. (Xueling), Vojinović, D. (Dina), Marten, J. (Jonathan), Musani, S.K. (Solomon K.), Li, C. (Changwei), Bentley, A.R. (Amy), Brown, M.R., Schwander, K., Richard, M.A. (Melissa A.), Noordam, R. (Raymond), Aschard, H. (Hugues), Bartz, T.M. (Traci M.), Bielak, L.F. (Lawrence F.), Dorajoo, R. (Rajkumar), Fisher, V. (Virginia), Hartwig, F.P. (Fernando P.), Horimoto, A.R.V.R. (Andrea R. V.R.), Lohman, K.K. (Kurt K.), Manning, A.K. (Alisa), Rankinen, T. (Tuomo), Smith, A.V. (Albert), Tajuddin, S.M. (Salman M.), Wojczynski, M.K. (Mary ), Alver, M. (Maris), Boissel, M. (Mathilde), Cai, Q. (Qiuyin), Campbell, A. (Archie), Chai, J.F. (Jin Fang), Chen, X. (Xu), Divers, J. (Jasmin), Gao, C. (Chuan), Goel, A. (Anuj), Hagemeijer, Y. (Yanick), Harris, S.E. (Sarah), He, M. (Meian), Hsu, F.-C. (Fang-Chi), Jackson, A.U. (Anne), Kähönen, M. (Mika), Kasturiratne, A. (Anuradhani), Komulainen, P. (Pirjo), Kuhnel, B. (Brigitte), Laguzzi, F. (Federica), Luan, J., Matoba, N. (Nana), Nolte, I.M. (Ilja), Padmanabhan, S. (Sandosh), Riaz, M. (Muhammad), Rueedi, R. (Rico), Robino, A. (Antonietta), Said, M.A. (M. Abdullah), Scott, R.A. (Robert), Sofer, T. (Tamar), Stancáková, A. (Alena), Takeuchi, F. (Fumihiko), Tayo, B. (Bamidele), Most, P.J. (Peter) van der, Varga, T.V. (Tibor V.), Vitart, V. (Veronique), Wang, Y. (Yajuan), Ware, E.B. (Erin B.), Warren, H. (Helen), Weiss, S. (Stefan), Wen, W. (Wanqing), Yanek, L.R. (Lisa), Zhang, W. (Weihua), Zhao, J.H. (Jing Hua), Afaq, S. (Saima), Amin, N. (Najaf), Amini, M. (Marzyeh), Arking, D.E. (Dan), Aung, T. (Tin), Boerwinkle, E. (Eric), Borecki, I.B. (Ingrid), Broeckel, U. (Ulrich), Brown, M. (Morris), Brumat, M. (Marco), Burke, G.L. (Greg), Canouil, M. (Mickaël), Chakravarti, A. (Aravinda), Charumathi, S. (Sabanayagam), Chen, Y.D.I. (Yii-Der Ida), Connell, J.M. (John M.), Correa, D.D., De Las Fuentes, L. (Lisa), Mutsert, R. (Reneé) de, De Silva, H.J. (H. Janaka), Deng, X. (Xuan), Ding, J. (Jingzhong), Duan, Q. (Qing), Eaton, C.B. (Charles B.), Ehret, G. (Georg), Eppinga, R.N. (Ruben N.), Evangelou, E. (Evangelos), Faul, J.D. (Jessica D.), Felix, S.B. (Stephan B.), Forouhi, N.G. (Nita), Forrester, T. (Terrence), Franco, O.H. (Oscar), Friedlander, Y. (Yechiel), Gandin, I. (Ilaria), Gao, H. (He), Ghanbari, M. (Mohsen), Gigante, B. (Bruna), Gu, C. (Charles), Gu, D. (Dongfeng), Hagenaars, S. (Saskia), Hallmans, G. (Göran), Harris, T.B. (Tamara), He, J. (Jiang), Heikkinen, S. (Sami), Heng, C.K. (Chew-Kiat), Hirata, M. (Makoto), Howard, B.V. (Barbara V.), Ikram, M.K. (Kamran), John, U. (Ulrich), Katsuya, T. (Tomohiro), Khor, C.C., Kilpeläinen, T.O. (Tuomas), Koh, W.-P. (Woon-Puay), Krieger, J.E. (José), Kritchevsky, S.B. (Stephen), Kubo, M. (Michiaki), Kuusisto, J. (Johanna), Lakka, T.A. (Timo), Langefeld, C.D. (Carl), Langenberg, C. (Claudia), Launer, L.J. (Lenore), Lehne, B. (Benjamin), Lewis, C.E. (Cora E.), Li, Y. (Yize), Lin, S. (Shiow), Liu, J. (Jianjun), Liu, J. (Jingmin), Loh, M. (Marie), Louie, T. (Tin), Mägi, R. (Reedik), McKenzie, C.A. (Colin), Meitinger, T. (Thomas), Metspalu, A. (Andres), Milaneschi, Y. (Yuri), Milani, L. (Lili), Mohlke, K.L. (Karen), Momozawa, Y. (Yukihide), Nalls, M.A. (Michael), Nelson, C.P. (Christopher P.), Sotoodehnia, N. (Nona), Norris, J.M. (Jill M.), O´Connell, J.R., Palmer, N.D. (Nicholette), Perls, T.T. (Thomas T.), Pedersen, N.L. (Nancy), Peters, A. (Annette), Peyser, P.A. (Patricia A.), Poulter, N.R. (Neil), Raffel, L.J. (Leslie J.), Raitakari, O. (Olli), Roll, K. (Kathryn), Rose, L.M. (Lynda M.), Rosendaal, F.R. (Frits), Rotter, J.I. (Jerome I.), Schmidt, C.O. (Carsten Oliver), Schreiner, P.J. (Pamela), Schupf, N. (Nicole), Scott, W.R. (William R.), Sever, P. (Peter), Shi, Y. (Yuan), Sidney, S. (Stephen), Sims, M. (Mario), Sitlani, C.M. (Colleen), Smith, J.A. (Jennifer A), Snieder, H. (Harold), Starr, J.M. (John), Strauch, K. (Konstantin), Stringham, H.M. (Heather M.), Tan, N.Y.Q. (Nicholas Y.Q.), Tang, H. (Hua), Taylor, K.D. (Kent), Teo, Y.Y. (Yik Ying), Tham, Y.C. (Yih Chung), Turner, S.T. (Stephen T.), Uitterlinden, A.G. (André), Vollenweider, P. (Peter), Waldenberger, M. (Melanie), Wang, L. (Lihua), Wang, Y.X. (Ya Xing), Wei, W.B. (Wen Bin), Williams, C. (Christine), Yao, J. (Jie), Yu, C. (Caizheng), Yuan, J.-M. (Jian-Min), Zhao, W. (Wei), Zonderman, A.B., Becker, D.M. (Diane), Boehnke, M. (Michael), Bowden, D.W. (Donald W.), Chambers, J.C. (John C.), Deary, I.J. (Ian), Esko, T. (Tõnu), Farrall, M. (Martin), Franks, P.W. (Paul W.), Freedman, B.I. (Barry), Froguel, P. (Philippe), Gasparini, P. (Paolo), Gieger, C. (Christian), Jonas, J.B. (Jost Bruno), Kamatani, Y. (Yoichiro), Kato, N. (Norihiro), Kooner, J.S. (Jaspal S.), Kutalik, Z. (Zoltán), Laakso, M. (Markku), Laurie, C.C. (Cathy C.), Leander, K. (Karin), Lehtimäki, T. (Terho), Magnusson, P.K. (Patrik), Oldehinkel, A.J. (Albertine), Penninx, B.W.J.H. (Brenda), Polasek, O. (Ozren), Porteous, D.J. (David J.), Rauramaa, R. (Rainer), Samani, N.J. (Nilesh J.), Scott, J. (James), Shu, X.-O. (Xiao-Ou), Van Der Harst, P. (Pim), Wagenknecht, L.E. (Lynne), Wareham, N.J. (Nick), Watkins, H. (Hugh), Weir, D.R. (David R.), Wickremasinghe, A.R. (Ananda), Wu, T. (Tangchun), Zheng, W. (Wei), Bouchard, C. (Claude), Christensen, K. (Kaare), Evans, M.K. (Michele), Gudnason, V. (Vilmundur), Horta, B.L. (Bernardo L.), Kardia, S.L.R. (Sharon L.R.), Liu, Y. (YongMei), Pereira, A.C. (Alexandre C.), Psaty, B.M. (Bruce M.), Ridker, P.M. (Paul), Dam, R.M. (Rob) van, Gauderman, W.J. (W James), Zhu, X. (Xiaofeng), Mook-Kanamori, D.O. (Dennis O.), Fornage, M. (Myriam), Rotimi, C. (Charles), Cupples, L.A. (Adrienne), Kelly, T.N. (Tanika N.), Fox, E.R. (Ervin), Hayward, C. (Caroline), Duijn, C.M. (Cornelia) van, Tai, E.S. (E. Shyong), Wong, T.Y. (Tien Yin), Kooperberg, C. (Charles), Palmas, W. (Walter), Rice, K.M. (Kenneth), Morrison, A.C. (Alanna), Elliott, P. (Paul), Caulfield, M. (Mark), Munroe, P. (Patricia), Rao, D.C. (Dabeeru C.), Province, M.A. (Mike), Levy, D. (Daniel), Feitosa, M.F. (Mary Furlan), Kraja, A. (Aldi), Chasman, D.I. (Daniel), Sung, Y.J. (Yun J.), Winkler, T.W. (Thomas W.), Ntalla, I. (Ioanna), Guo, X. (Xiuqing), Franceschini, N. (Nora), Cheng, C.-Y. (Ching-Yu), Sim, X. (Xueling), Vojinović, D. (Dina), Marten, J. (Jonathan), Musani, S.K. (Solomon K.), Li, C. (Changwei), Bentley, A.R. (Amy), Brown, M.R., Schwander, K., Richard, M.A. (Melissa A.), Noordam, R. (Raymond), Aschard, H. (Hugues), Bartz, T.M. (Traci M.), Bielak, L.F. (Lawrence F.), Dorajoo, R. (Rajkumar), Fisher, V. (Virginia), Hartwig, F.P. (Fernando P.), Horimoto, A.R.V.R. (Andrea R. V.R.), Lohman, K.K. (Kurt K.), Manning, A.K. (Alisa), Rankinen, T. (Tuomo), Smith, A.V. (Albert), Tajuddin, S.M. (Salman M.), Wojczynski, M.K. (Mary ), Alver, M. (Maris), Boissel, M. (Mathilde), Cai, Q. (Qiuyin), Campbell, A. (Archie), Chai, J.F. (Jin Fang), Chen, X. (Xu), Divers, J. (Jasmin), Gao, C. (Chuan), Goel, A. (Anuj), Hagemeijer, Y. (Yanick), Harris, S.E. (Sarah), He, M. (Meian), Hsu, F.-C. (Fang-Chi), Jackson, A.U. (Anne), Kähönen, M. (Mika), Kasturiratne, A. (Anuradhani), Komulainen, P. (Pirjo), Kuhnel, B. (Brigitte), Laguzzi, F. (Federica), Luan, J., Matoba, N. (Nana), Nolte, I.M. (Ilja), Padmanabhan, S. (Sandosh), Riaz, M. (Muhammad), Rueedi, R. (Rico), Robino, A. (Antonietta), Said, M.A. (M. Abdullah), Scott, R.A. (Robert), Sofer, T. (Tamar), Stancáková, A. (Alena), Takeuchi, F. (Fumihiko), Tayo, B. (Bamidele), Most, P.J. (Peter) van der, Varga, T.V. (Tibor V.), Vitart, V. (Veronique), Wang, Y. (Yajuan), Ware, E.B. (Erin B.), Warren, H. (Helen), Weiss, S. (Stefan), Wen, W. (Wanqing), Yanek, L.R. (Lisa), Zhang, W. (Weihua), Zhao, J.H. (Jing Hua), Afaq, S. (Saima), Amin, N. (Najaf), Amini, M. (Marzyeh), Arking, D.E. (Dan), Aung, T. (Tin), Boerwinkle, E. (Eric), Borecki, I.B. (Ingrid), Broeckel, U. (Ulrich), Brown, M. (Morris), Brumat, M. (Marco), Burke, G.L. (Greg), Canouil, M. (Mickaël), Chakravarti, A. (Aravinda), Charumathi, S. (Sabanayagam), Chen, Y.D.I. (Yii-Der Ida), Connell, J.M. (John M.), Correa, D.D., De Las Fuentes, L. (Lisa), Mutsert, R. (Reneé) de, De Silva, H.J. (H. Janaka), Deng, X. (Xuan), Ding, J. (Jingzhong), Duan, Q. (Qing), Eaton, C.B. (Charles B.), Ehret, G. (Georg), Eppinga, R.N. (Ruben N.), Evangelou, E. (Evangelos), Faul, J.D. (Jessica D.), Felix, S.B. (Stephan B.), Forouhi, N.G. (Nita), Forrester, T. (Terrence), Franco, O.H. (Oscar), Friedlander, Y. (Yechiel), Gandin, I. (Ilaria), Gao, H. (He), Ghanbari, M. (Mohsen), Gigante, B. (Bruna), Gu, C. (Charles), Gu, D. (Dongfeng), Hagenaars, S. (Saskia), Hallmans, G. (Göran), Harris, T.B. (Tamara), He, J. (Jiang), Heikkinen, S. (Sami), Heng, C.K. (Chew-Kiat), Hirata, M. (Makoto), Howard, B.V. (Barbara V.), Ikram, M.K. (Kamran), John, U. (Ulrich), Katsuya, T. (Tomohiro), Khor, C.C., Kilpeläinen, T.O. (Tuomas), Koh, W.-P. (Woon-Puay), Krieger, J.E. (José), Kritchevsky, S.B. (Stephen), Kubo, M. (Michiaki), Kuusisto, J. (Johanna), Lakka, T.A. (Timo), Langefeld, C.D. (Carl), Langenberg, C. (Claudia), Launer, L.J. (Lenore), Lehne, B. (Benjamin), Lewis, C.E. (Cora E.), Li, Y. (Yize), Lin, S. (Shiow), Liu, J. (Jianjun), Liu, J. (Jingmin), Loh, M. (Marie), Louie, T. (Tin), Mägi, R. (Reedik), McKenzie, C.A. (Colin), Meitinger, T. (Thomas), Metspalu, A. (Andres), Milaneschi, Y. (Yuri), Milani, L. (Lili), Mohlke, K.L. (Karen), Momozawa, Y. (Yukihide), Nalls, M.A. (Michael), Nelson, C.P. (Christopher P.), Sotoodehnia, N. (Nona), Norris, J.M. (Jill M.), O´Connell, J.R., Palmer, N.D. (Nicholette), Perls, T.T. (Thomas T.), Pedersen, N.L. (Nancy), Peters, A. (Annette), Peyser, P.A. (Patricia A.), Poulter, N.R. (Neil), Raffel, L.J. (Leslie J.), Raitakari, O. (Olli), Roll, K. (Kathryn), Rose, L.M. (Lynda M.), Rosendaal, F.R. (Frits), Rotter, J.I. (Jerome I.), Schmidt, C.O. (Carsten Oliver), Schreiner, P.J. (Pamela), Schupf, N. (Nicole), Scott, W.R. (William R.), Sever, P. (Peter), Shi, Y. (Yuan), Sidney, S. (Stephen), Sims, M. (Mario), Sitlani, C.M. (Colleen), Smith, J.A. (Jennifer A), Snieder, H. (Harold), Starr, J.M. (John), Strauch, K. (Konstantin), Stringham, H.M. (Heather M.), Tan, N.Y.Q. (Nicholas Y.Q.), Tang, H. (Hua), Taylor, K.D. (Kent), Teo, Y.Y. (Yik Ying), Tham, Y.C. (Yih Chung), Turner, S.T. (Stephen T.), Uitterlinden, A.G. (André), Vollenweider, P. (Peter), Waldenberger, M. (Melanie), Wang, L. (Lihua), Wang, Y.X. (Ya Xing), Wei, W.B. (Wen Bin), Williams, C. (Christine), Yao, J. (Jie), Yu, C. (Caizheng), Yuan, J.-M. (Jian-Min), Zhao, W. (Wei), Zonderman, A.B., Becker, D.M. (Diane), Boehnke, M. (Michael), Bowden, D.W. (Donald W.), Chambers, J.C. (John C.), Deary, I.J. (Ian), Esko, T. (Tõnu), Farrall, M. (Martin), Franks, P.W. (Paul W.), Freedman, B.I. (Barry), Froguel, P. (Philippe), Gasparini, P. (Paolo), Gieger, C. (Christian), Jonas, J.B. (Jost Bruno), Kamatani, Y. (Yoichiro), Kato, N. (Norihiro), Kooner, J.S. (Jaspal S.), Kutalik, Z. (Zoltán), Laakso, M. (Markku), Laurie, C.C. (Cathy C.), Leander, K. (Karin), Lehtimäki, T. (Terho), Magnusson, P.K. (Patrik), Oldehinkel, A.J. (Albertine), Penninx, B.W.J.H. (Brenda), Polasek, O. (Ozren), Porteous, D.J. (David J.), Rauramaa, R. (Rainer), Samani, N.J. (Nilesh J.), Scott, J. (James), Shu, X.-O. (Xiao-Ou), Van Der Harst, P. (Pim), Wagenknecht, L.E. (Lynne), Wareham, N.J. (Nick), Watkins, H. (Hugh), Weir, D.R. (David R.), Wickremasinghe, A.R. (Ananda), Wu, T. (Tangchun), Zheng, W. (Wei), Bouchard, C. (Claude), Christensen, K. (Kaare), Evans, M.K. (Michele), Gudnason, V. (Vilmundur), Horta, B.L. (Bernardo L.), Kardia, S.L.R. (Sharon L.R.), Liu, Y. (YongMei), Pereira, A.C. (Alexandre C.), Psaty, B.M. (Bruce M.), Ridker, P.M. (Paul), Dam, R.M. (Rob) van, Gauderman, W.J. (W James), Zhu, X. (Xiaofeng), Mook-Kanamori, D.O. (Dennis O.), Fornage, M. (Myriam), Rotimi, C. (Charles), Cupples, L.A. (Adrienne), Kelly, T.N. (Tanika N.), Fox, E.R. (Ervin), Hayward, C. (Caroline), Duijn, C.M. (Cornelia) van, Tai, E.S. (E. Shyong), Wong, T.Y. (Tien Yin), Kooperberg, C. (Charles), Palmas, W. (Walter), Rice, K.M. (Kenneth), Morrison, A.C. (Alanna), Elliott, P. (Paul), Caulfield, M. (Mark), Munroe, P. (Patricia), Rao, D.C. (Dabeeru C.), Province, M.A. (Mike), and Levy, D. (Daniel)
Abstract: Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3, 514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 × 10-5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2, 159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 × 10-8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 × 10-8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension.
Published: 2018
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25. Macroeconomic Effect of Infectious Disease Outbreaks

Author: Keogh-Brown, M.R.
Subjects: SARS, Infectious disease, Behavioral change, Modeling, Outbreaks, CGE, Macroeconomic, Whole economy, Labor, Article, Influenza
Abstract: This article highlights the important macroeconomic effects of communicable disease outbreaks, focusing especially on evidence from computablegeneral equilibrium analyses. It illustrates how, in particular, labor supply and behavior change effects have been estimated using retrospective analysis and macroeconomic models.
Published: 2014

26. Measurement of molecular mixing at a conjugated polymer interface by specular and off-specular neutron scattering

Author: James, D., Higgins, A.M., Rees, P., Geoghegan, M., Brown, M.R., Chang, S., Mon, D., Cubitt, R., Dalgliesh, R., and Gutfreund, P.
Subjects: Condensed Matter::Soft Condensed Matter, Quantitative Biology::Biomolecules
Abstract: Measurements have been performed on thermally equilibrated conjugated-polymer/insulating-polymer bilayers, using specular and off-specular neutron reflectivity. While specular reflectivity is only sensitive to the structure normal to the sample, off-specular measurements can probe the structure of the buried polymer/polymer interface in the plane of the sample. Systematic analysis of the scattering from a set of samples with varying insulating-polymer-thickness, using the distorted-wave Born approximation (DWBA), has allowed a robust determination of the intrinsic width at the buried polymer/polymer interface. The quantification of this width (12 Å ± 4 Å) allows us to examine aspects of the conjugated polymer conformation at the interface, by appealing to self-consistent field theory (SCFT) predictions for equilibrium polymer/polymer interfaces in the cases of flexible and semi-flexible chains. This analysis enables us to infer that mixing at this particular interface cannot be described in terms of polymer chain segments that adopt conformations similar to a random walk. Instead, a more plausible explanation is that the conjugated polymer chain segments become significantly oriented in the plane of the interface. It is important to point out that we are only able to reach this conclusion following the extensive analysis of reflectivity data, followed by comparison with SCFT predictions. It is not simply the case that conjugated polymers would be expected to adopt this kind of oriented conformation at the interface, because of their relatively high chain stiffness. It is the combination of a high stiffness and a relatively narrow intrinsic interfacial width that results in a deviation from flexible chain behaviour.
Published: 2015

27. Effects of unidirectional flow shear stresses on the formation, fractal microstructure and rigidity of incipient whole blood clots and fibrin gels

Author: Badiei, N., Sowedan, A.M., Curtis, D.J., Brown, M.R., Lawrence, M.J., Campbell, A.I., Sabra, A., Evans, P.A., Weisel, J.W., Chernysh, I.N., Nagaswami, C., Williams, P.R., and Hawkins, K.
Subjects: circulatory and respiratory physiology
Abstract: Incipient clot formation in whole blood and fibrin gels was studied by the rheometric techniques of controlled stress\ud parallel superposition (CSPS) and small amplitude oscillatory shear (SAOS). The effects of unidirectional shear stress on incipient\ud clot microstructure, formation kinetics and elasticity are reported in terms of the fractal dimension (df ) of the fibrin network,\ud the gel network formation time (TGP ) and the shear elastic modulus, respectively. The results of this first haemorheological\ud application of CSPS reveal the marked sensitivity of incipient clot microstructure to physiologically relevant levels of shear\ud stress, these being an order of magnitude lower than have previously been studied by SAOS. CSPS tests revealed that exposure\ud of forming clots to increasing levels of shear stress produces a corresponding elevation in df , consistent with the formation of\ud tighter, more compact clot microstructures under unidirectional flow. A corresponding increase in shear elasticity was recorded.\ud The scaling relationship established between shear elasticity and df for fibrin clots and whole blood confirms the fibrin network\ud as the dominant microstructural component of the incipient clot in terms of its response to imposed stress. Supplementary studies\ud of fibrin clot formation by rheometry and microscopy revealed the substantial additional network mass required to increase df\ud and provide evidence to support the hypothesis that microstructural changes in blood clotted under unidirectional shear may be\ud attributed to flow enhanced thrombin generation and activation. CSPS also identified a threshold value of unidirectional shear\ud stress above which no incipient clot formation could be detected. CSPS was shown to be a valuable haemorheological tool for\ud the study of the effects of physiological and pathological levels of shear on clot properties.
Published: 2015

28. An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working Group

Author: Sung, Y.J. (Yun Ju), Winkler, T.W. (Thomas W.), Manning, A.K. (Alisa), Aschard, H. (Hugues), Gudnason, V. (Vilmundur), Harris, T.B. (Tamara), Smith, A.V. (Albert Vernon), Boerwinkle, E.A. (Eric), Brown, M.R., Morrison, A.C. (Alanna), Fornage, M. (Myriam), Lin, L.-A. (Li-An), Richard, M. (Melissa), Bartz, T.M. (Traci M.), Psaty, B.M. (Bruce), Hayward, C. (Caroline), Polasek, O. (Ozren), Marten, J. (Jonathan), Rudan, I. (Igor), Feitosa, M.F. (Mary Furlan), Kraja, A. (Aldi), Province, M.A. (Mike), Deng, X. (Xuan), Fisher, V.A. (Virginia A.), Zhou, Y. (Yanhua), Bielak, L.F. (Lawrence F.), Smith, J.A. (Jennifer A), Huffman, J.E. (Jennifer), Padmanabhan, S. (Sandosh), Smith, B.H. (Blair), Ding, J. (Jingzhong), Liu, Y. (YongMei), Lohman, K. (Kurt), Bouchard, C. (Claude), Rankinen, T. (Tuomo), Rice, T.K. (Treva K.), Arnett, D.K. (Donna), Schwander, K., Guo, X. (Xiuqing), Palmas, W. (Walter), Rotter, J.I. (Jerome I.), Alfred, T. (Tamuno), Bottinger, E.P. (Erwin), Loos, R.J.F. (Ruth), Amin, N. (Najaf), Franco, O.H. (Oscar), Duijn, C.M. (Cornelia) van, Vojinović, D. (Dina), Chasman, D.I. (Daniel), Ridker, P.M. (Paul), Rose, L.M. (Lynda), Kardia, S.L.R. (Sharon), Zhu, X. (Xiaofeng), Rice, K.M. (Kenneth), Borecki, I.B. (Ingrid), Rao, D.C. (Dabeeru C.), Gauderman, W.J. (W. James), Cupples, L.A. (Adrienne), Sung, Y.J. (Yun Ju), Winkler, T.W. (Thomas W.), Manning, A.K. (Alisa), Aschard, H. (Hugues), Gudnason, V. (Vilmundur), Harris, T.B. (Tamara), Smith, A.V. (Albert Vernon), Boerwinkle, E.A. (Eric), Brown, M.R., Morrison, A.C. (Alanna), Fornage, M. (Myriam), Lin, L.-A. (Li-An), Richard, M. (Melissa), Bartz, T.M. (Traci M.), Psaty, B.M. (Bruce), Hayward, C. (Caroline), Polasek, O. (Ozren), Marten, J. (Jonathan), Rudan, I. (Igor), Feitosa, M.F. (Mary Furlan), Kraja, A. (Aldi), Province, M.A. (Mike), Deng, X. (Xuan), Fisher, V.A. (Virginia A.), Zhou, Y. (Yanhua), Bielak, L.F. (Lawrence F.), Smith, J.A. (Jennifer A), Huffman, J.E. (Jennifer), Padmanabhan, S. (Sandosh), Smith, B.H. (Blair), Ding, J. (Jingzhong), Liu, Y. (YongMei), Lohman, K. (Kurt), Bouchard, C. (Claude), Rankinen, T. (Tuomo), Rice, T.K. (Treva K.), Arnett, D.K. (Donna), Schwander, K., Guo, X. (Xiuqing), Palmas, W. (Walter), Rotter, J.I. (Jerome I.), Alfred, T. (Tamuno), Bottinger, E.P. (Erwin), Loos, R.J.F. (Ruth), Amin, N. (Najaf), Franco, O.H. (Oscar), Duijn, C.M. (Cornelia) van, Vojinović, D. (Dina), Chasman, D.I. (Daniel), Ridker, P.M. (Paul), Rose, L.M. (Lynda), Kardia, S.L.R. (Sharon), Zhu, X. (Xiaofeng), Rice, K.M. (Kenneth), Borecki, I.B. (Ingrid), Rao, D.C. (Dabeeru C.), Gauderman, W.J. (W. James), and Cupples, L.A. (Adrienne)
Abstract: Studying gene-environment (G × E) interactions is important, as they extend our knowledge of the genetic architecture of complex traits and may help to identify novel variants not detected via analysis of main effects alone. The main statistical framework for studying G × E interactions uses a single regression model that includes both the genetic main and G × E interaction effects (the “joint” framework). The alternative “stratified” framework combines results from genetic main-effect analyses carried out separately within the exposed and unexposed groups. Although there have been several investigations using theory and simulation, an empirical comparison of the two frameworks is lacking. Here, we compare the two frameworks using results from genome-wide association studies of systolic blood pressure for 3.2 million low frequency and 6.5 million common variants across 20 cohorts of European ancestry, comprising 79,731 individuals. Our cohorts have sample sizes ranging from 456 to 22,983 and include both family-based and population-based samples. In cohort-specific analyses, the two frameworks provided similar inference for population-based cohorts. The agreement was reduced for family-based cohorts. In meta-analyses, agreement between the two frameworks was less than that observed in cohort-specific analyses, despite the increased sample size. In meta-analyses, agreement depended on (1) the minor allele frequency, (2) inclusion of family-based cohorts in meta-analysis, and (3) filtering scheme. The stratified framework appears to approximate the joint framework well only for common variants in population-based cohorts. We conclude that the joint framework is the preferred approach and should be used to control false positives when dealing with low-frequency variants and/or family-based cohorts.
Published: 2016
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29. Genetic associations between pubertal growth and skeletal maturity in healthy boys and girls

Author: Towne, B., Czerwinski, S.A., Demerath, E.W., Roche, A.F., Blangero, J., Parks, J.S., Brown, M.R., and Siervogel, R.M.
Subjects: Human genetics -- Research, Puberty -- Genetic aspects, Skeletal maturity -- Genetic aspects, Biological sciences
Published: 2001

30. ISOLATION OF DROSOPHILA NEUROPEPTIDE F

Author: Crim, J.W., Brown, M.R., Shen, P., and Arata, R.C.
Subjects: Zoological research -- Analysis, Neuropeptides -- Research, Drosophila -- Research
Abstract: Neuropeptide F (NPF) peptides occur in molluscs and platyhelminths. These invertebrate peptides are distant members of a vertebrate family of peptides consisting of neuropeptide Y (NPY), peptide YY (PYY), and pancreatic polypeptide (PP). Although truncated NPF-like peptides have been reported for cotton bollworm (Helicoverpa; Hez-MP's) and Colorado potato beetle (Leptinotarsa), no full-length NPF peptides have been sequenced for insects or other arthropods. Immunocytochemistry revealed Hez-MP-I immunoreactivity in neurons of brain and endocrine cells of midgut of D. melanogaster. RIA for Hez-MP-I was used to monitor HPLC purification of NPF from a whole-body extract of adult Drosophila. A single major peak of activity (mass of 3KD) was partially sequenced. PCR of Drosophila DNA revealed a 35 amino acid, amidated NPF homolog that is cleaved at the amino terminus to yield the 28 amino acid peptide purified. The prohormone exhibits clear homology to the family of NPF/NPY/PYY/PP peptides. In situ hybridization revealed NPF transcripts in neurons of the fruitfly brain. (Supported by Georgia Experiment Station Hatch Project No. GEO00786 to MRB.)
Published: 1998

31. 31 Sphingosine 1-phosphate receptor 3 is highly upregulated on human neutrophils upon migration to the airways

Author: Ingersoll, S.A., primary, Forrest, O., additional, Brown, M.R., additional, and Tirouvanziam, R., additional
Published: 2015
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32. Effectiveness and cost-effectiveness of salicylic acid and cryotherapy for cutaneous warts: an economic decision model

Author: Thomas, K.S., Keogh-Brown, M.R., Chalmers, J.R., Fordham, R.J., Holland, R.C., Armstrong, S.J., Bachmann, M.O., Howe, A.H., Rodgers, S., Avery, Anthony, Harvey, I., and Williams, H.C.
Abstract: Objectives: To estimate the costs of commonly used treatments for cutaneous warts, as well as their health benefits and risk. To create an economic decision model to evaluate the cost-effectiveness of these treatments, and, as a result, assess whether a randomised controlled trial (RCT) would be feasible and cost-effective. Data sources: Focus groups, structured interviews and observation of practice. Postal survey sent to 723 patients. A recently updated Cochrane systematic review and published cost and prescribing data. Review methods: Primary and secondary data collection methods were used to inform the development of an economic decision model. Data from the postal survey provided estimates of the effectiveness of wart treatments in a primary care setting. These estimates were compared with outcomes reported in the Cochrane review of wart treatment, which were largely obtained from RCTs conducted in secondary care. A decision model was developed including a variety of over-the-counter (OTC) and GPprescribed treatments. The model simulated 10,000 patients and adopted a societal perspective. Results: OTC treatments were used by a substantial number of patients (57%) before attending the GP surgery. By far the most commonly used OTC preparation was salicylic acid (SA). The results of the economic model suggested that of the treatments prescribed by a GP, the most cost-effective treatment was SA, with an incremental cost-effectiveness ratio (ICER) of 2.20 £/% cured. The ICERs for cryotherapy varied widely (from 1.95 to 7.06 £/% cured) depending on the frequency of applications and the mode of delivery. The most cost-effective mode of delivery was through nurse-led cryotherapy clinics (ICER = 1.95 £/% cured) and this could be a cost-effective alternative to GP-prescribed SA. Overall, the OTC therapies were the most cost-effective treatment options. ICERs ranged from 0.22 £/% cured for OTC duct tape and 0.76 £/% cured for OTC cryotherapy to 1.12 £/% cured for OTC SA. However, evidence in support of OTC duct tape and OTC cryotherapy is very limited. Side-effects were commonly reported for both SA and cryotherapy, particularly a burning sensation, pain and blistering. Conclusions: Cryotherapy delivered by a doctor is an expensive option for the treatment of warts in primary care. Alternative options such as GP-prescribed SA and nurse-led cryotherapy clinics provide more costeffective alternatives, but are still expensive compared with self-treatment. Given the minor nature of most cutaneous warts, coupled with the fact that the majority spontaneously resolve in time, it may be concluded that a shift towards self-treatment is warranted. Although both duct tape and OTC cryotherapy appear promising new self-treatment options from both a cost and an effectiveness perspective, more research is required to confirm the efficacy of these two methods of wart treatment. If these treatments are shown to be as cost-effective as or more cost-effective than conventional treatments, then a shift in service delivery away from primary care towards more OTC treatment is likely. A public awareness campaign would be useful to educate patients about the self-limiting nature of warts and the possible alternative OTC treatment options available. Two future RCTs are recommended for consideration: a trial of SA compared with nurse-led cryotherapy in primary care, and a trial of home treatments. Greater understanding of the efficacy of these home treatments will give doctors a wider choice of treatment options, and may help to reduce the overall demand for cryotherapy in primary care.
Published: 2006

33. Style Analysis for Folk Melodies, with Classification using Inductive Learing

Author: CARTER, J.A, BROWN, M.R, EAGLESTONE, B., University of Derby [United Kingdom], and University of Sheffield [Sheffield]
Subjects: [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]
Published: 2000

34. Masitinib‐Associated Minimal Change Disease with Acute Tubular Necrosis Resulting in Acute Kidney Injury in a Dog

Author: Brown, M.R., primary, Cianciolo, R.E., additional, Nabity, M.B., additional, Brown, C.A., additional, Clubb, F.J., additional, and Lees, G.E., additional
Published: 2013
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35. Comment on Cuckoo search: A new nature-inspired optimization method for phase equilibrium calculations by V. Bhargava, S. Fateen, A. Bonilla-Petriciolet

Author: Walton, S., primary, Brown, M.R., additional, Hassan, O., additional, and Morgan, K., additional
Published: 2013
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36. Production of microalgal concentrates by flocculation and their assessment as aquaculture feeds

Author: Knuckey, R.M., Brown, M.R., Robert, R., Frampton, D.M.F., Knuckey, R.M., Brown, M.R., Robert, R., and Frampton, D.M.F.
Abstract: A novel technique was developed for the flocculation of marine microalgae commonly used in aquaculture. The process entailed an adjustment of pH of culture to between 10 and 10.6 using NaOH, followed by addition of a non-ionic polymer Magnafloc LT-25 to a final concentration of 0.5 mg L-1. The ensuing flocculate was harvested, and neutralised giving a final concentration factor of between 200- and 800-fold. This process was successfully applied to harvest cells of Chaetoceros calcitrans, C. muelleri, Thalassiosira pseudonana, Attheya septentrionalis, Nitzschia closterium, Skeletonema sp., Tetraselmis suecica and Rhodomonas salina, with efficiencies >=80%. The process was rapid, simple and inexpensive, and relatively cost neutral with increasing volume (cf. concentration by centrifugation). Harvested material was readily disaggregated to single cell suspensions by dilution in seawater and mild agitation. Microscopic examination of the cells showed them to be indistinguishable from corresponding non-flocculated cells. Chlorophyll analysis of concentrates prepared from cultures of Concentrates of T. pseudonana prepared using pH-induced flocculation gave better growth of juvenile Pacific oysters (Crassostrea gigas) than concentrates prepared by ferric flocculation, or centrifuged concentrates using a cream separator or laboratory centrifuge. In follow up experiments, concentrates prepared from 1000 L Chaetoceros muelleri cultures were effective as supplementary diets to improve the growth of juvenile C. gigas and the scallop Pecten fumatus reared under commercial conditions, though not as effective as the corresponding live algae. The experiments demonstrated a proof-of-concept for a commercial application of concentrates prepared by flocculation, especially for use at a remote nursery without on-site mass-algal culture facilities.
Published: 2006

37. Autosomal dominant inherited hearing impairment caused by a missense mutation in COL11A2 (DFNA13).

Author: Leenheer, E. de, Kunst, H.H., McGuirt, W.T., Prasad, S.D., Brown, M.R., Huygen, P.L.M., Smith, R.J.H., Cremers, C.W.R.J., Leenheer, E. de, Kunst, H.H., McGuirt, W.T., Prasad, S.D., Brown, M.R., Huygen, P.L.M., Smith, R.J.H., and Cremers, C.W.R.J.
Abstract: Item does not contain fulltext, OBJECTIVE: To analyze the phenotype in a 5-generation DFNA13 family with a missense mutation in the COL11A2 gene that causes autosomal dominant, presumably prelingual, nonsyndromic sensorineural hearing impairment. DESIGN: Family study. SETTING: University hospital department. PATIENTS: Twenty mutation carriers from a large American kindred. METHODS: Cross-sectional analysis using pure-tone threshold measurements at 0.25, 0.5, 1, 2, 4, and 8 kHz. The audiometric configuration was evaluated according to an existing consensus protocol. The significance of features relating to audiometric configuration was tested using 1-way analysis of variance. Progression was evaluated with linear regression analyses of threshold-on-age. RESULTS: Most individuals showed midfrequency (U-shaped) characteristics. The mean threshold in generations IV and V was 44 dB at 1, 2, and 4 kHz (midfrequencies); it was 29 dB at the other frequencies (0.25, 0.5, and 8 kHz). There was no significant progression beyond presbyacusis. CONCLUSION: The trait in this family can be characterized as autosomal dominant, nonprogressive, presumably prelingual, midfrequency sensorineural hearing impairment.
Published: 2001

38. Subquadrangles of order s of generalized quadrangles of order (s,s2), Part I

Author: Brown, M.R., primary and Thas, J.A., additional
Published: 2004
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39. Maximal partial spreads of T2(O) and T3(O)

Author: Brown, M.R., primary, De Beule, J., additional, and Storme, L., additional
Published: 2003
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40. A Novel Locus for Autosomal Dominant Nonsyndromic Hearing Loss, DFNA13, Maps to Chromosome 6p

Author: Brown, M.R., primary, Tomek, M.S., additional, Van Laer, L., additional, Smith, S., additional, Kenyon, J.B., additional, Van Camp, G., additional, and Smith, R.J.H., additional
Published: 1997
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41. Subquadrangles of order <f>s</f> of generalized quadrangles of order <f>(s,s2)</f>, Part I

Author: Brown, M.R. and Thas, J.A.
Subjects: *MATHEMATICS, *CLASSIFICATION, *INFORMATION science, *RIGHT angle
Abstract: In this paper, subquadrangles of order s of generalized quadrangles (GQs) of order (s,s2) are investigated. In the case where S is a dual flock GQ of order (s,s2), s even, the classification of subquadrangles of order s is completed. In the case where E is an egg good at an element and the corresponding translation generalized quadrangle T(E) of order (s,s2), s even, has base point (∞) it is proved that if T(E) has a subquadrangle of order s not containing (∞), then T(E) is the classical GQ Q(5,s). Also a new strong characterization of the classical GQ Q(5,s), s even or odd, is obtained. In Part II, the case s odd is considered. [Copyright &y& Elsevier]
Published: 2004
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42. Maximal partial spreads of <f>T2(O)</f> and <f>T3(O)</f>

Author: Brown, M.R., De Beule, J., and Storme, L.
Subjects: *EXTREMAL problems (Mathematics), *GRAPH theory
Abstract: Assuming a partial spread of T2(O) or T3(O), with deficiency δ, is maximal and using results on minihypers, which are closely related to blocking sets in PG(2,q), we obtain lower bounds for δ. If q is even, using extendability of arcs in PG(2,q), we prove that a maximal partial spread of T2(O) which does not cover (∞) does not exist if δ≤q−1. This improves a theorem of Tallini (Proceedings of the First International Conference on Blocking Sets (Giessen, 1989) 201 (1991) 141) for T2(O)≅Q(4,q), and, furthermore, this result is sharp since partial spreads with deficiency δ=q are constructed. [Copyright &y& Elsevier]
Published: 2003
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43. Validation of Optimal Fourier Rheometry for rapidly gelling materials and its application in the study of collagen gelation

Author: Curtis, D.J., Holder, A., Badiei, N., Claypole, J., Walters, M., Thomas, B., Barrow, M., Deganello, D., Brown, M.R., Williams, P.R., and Hawkins, K.
Subjects: Materials Science(all), genetic structures, Mechanical Engineering, Applied Mathematics, OFR, Chemical Engineering(all), Gel Point, Collagen, Condensed Matter Physics, FTMS, Mutation number
Abstract: Rheological Gel Point measurements may incur errors in the case of rapid gelling systems due to the limitations of multiple frequency oscillatory shear techniques such as frequency sweeps and Fourier Transform Mechanical Spectroscopy, FTMS. These limitations are associated with sample mutation and data interpolation. In the present paper we consider how an alternative rapid characterisation technique known as Optimal Fourier Rheometry, OFR, can be used to study a rapidly gelling material, namely collagen at near physiological temperatures. The OFR technique is validated using a model reference gelling system whose GP characteristics have been widely reported. An analysis of the susceptibility of OFR measurements to rheometrical artefacts is made prior to its use in the study of rapid gelling collagen gels formed over a range of physiologically relevant collagen concentrations. The results of this OFR study are the first measurements of the stress relaxation characteristics of collagen gels performed in a single rheological experiment.
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44. Significant Changes in the Montana Business Corporation Act and the Montana Limited Partnership Act

Author: Beed, T.K., Brown, M.R., and Wyse, R.C.
Subjects: Business, Business, regional
Published: 1981

45. An overview of gold and silver mining in Canada.

Author: Brown M.R., International Precious Metals Institute Conference. Toronto Jun-80Jun-80, Brown M.R., and International Precious Metals Institute Conference. Toronto Jun-80Jun-80
Abstract: Although Canada's output of gold and silver has declined in recent years, the country is still the third largest producer of gold, and with the increase in gold prices, newly-discovered deposits now have production potential, though so far increased output has arisen mainly from expansion of existing mines or reopening old ones. Detour Lake in Ontario is an important new deposit under development; also in Ontario are Sioux Lookout, and Owl Creek. In British Columbia, Northair Mines' deposit and the Sam Goosly silver-gold property are new developments, also Ladner Creek and Cinola's property on Queen Charlotte Islands. In Northwest Territories, the Camlaren mine at Gordon Lake and O'Brien Resources at Cullaton Lake are to be brought into production. Reserves and ore grade figures are given., Although Canada's output of gold and silver has declined in recent years, the country is still the third largest producer of gold, and with the increase in gold prices, newly-discovered deposits now have production potential, though so far increased output has arisen mainly from expansion of existing mines or reopening old ones. Detour Lake in Ontario is an important new deposit under development; also in Ontario are Sioux Lookout, and Owl Creek. In British Columbia, Northair Mines' deposit and the Sam Goosly silver-gold property are new developments, also Ladner Creek and Cinola's property on Queen Charlotte Islands. In Northwest Territories, the Camlaren mine at Gordon Lake and O'Brien Resources at Cullaton Lake are to be brought into production. Reserves and ore grade figures are given.
Published: 1981

46. An embedding theorem for weakly inverse semigroups.

Author: Hardy, D.W., Brown, M.R., Painter, R.J., Hardy, D.W., Brown, M.R., and Painter, R.J.

47. Effectiveness and cost-effectiveness of salicylic acid and cryotherapy for cutaneous warts: an economic decision model

Author: Thomas, K.S., Keogh-Brown, M.R., Chalmers, J.R., Fordham, R.J., Holland, R.C., Armstrong, S.J., Bachmann, M.O., Howe, A.H., Rodgers, S., Avery, Anthony, Harvey, I., Williams, H.C., Thomas, K.S., Keogh-Brown, M.R., Chalmers, J.R., Fordham, R.J., Holland, R.C., Armstrong, S.J., Bachmann, M.O., Howe, A.H., Rodgers, S., Avery, Anthony, Harvey, I., and Williams, H.C.
Abstract: Objectives: To estimate the costs of commonly used treatments for cutaneous warts, as well as their health benefits and risk. To create an economic decision model to evaluate the cost-effectiveness of these treatments, and, as a result, assess whether a randomised controlled trial (RCT) would be feasible and cost-effective. Data sources: Focus groups, structured interviews and observation of practice. Postal survey sent to 723 patients. A recently updated Cochrane systematic review and published cost and prescribing data. Review methods: Primary and secondary data collection methods were used to inform the development of an economic decision model. Data from the postal survey provided estimates of the effectiveness of wart treatments in a primary care setting. These estimates were compared with outcomes reported in the Cochrane review of wart treatment, which were largely obtained from RCTs conducted in secondary care. A decision model was developed including a variety of over-the-counter (OTC) and GPprescribed treatments. The model simulated 10,000 patients and adopted a societal perspective. Results: OTC treatments were used by a substantial number of patients (57%) before attending the GP surgery. By far the most commonly used OTC preparation was salicylic acid (SA). The results of the economic model suggested that of the treatments prescribed by a GP, the most cost-effective treatment was SA, with an incremental cost-effectiveness ratio (ICER) of 2.20 £/% cured. The ICERs for cryotherapy varied widely (from 1.95 to 7.06 £/% cured) depending on the frequency of applications and the mode of delivery. The most cost-effective mode of delivery was through nurse-led cryotherapy clinics (ICER = 1.95 £/% cured) and this could be a cost-effective alternative to GP-prescribed SA. Overall, the OTC therapies were the most cost-effective treatment options. ICERs ranged from 0.22 £/% cured for OTC duct tape and 0.76 £/% cured for OTC cryotherapy to 1.12 £/% cured for OTC SA.

48. Effectiveness and cost-effectiveness of salicylic acid and cryotherapy for cutaneous warts: an economic decision model

Author: Thomas, K.S., Keogh-Brown, M.R., Chalmers, J.R., Fordham, R.J., Holland, R.C., Armstrong, S.J., Bachmann, M.O., Howe, A.H., Rodgers, S., Avery, Anthony, Harvey, I., Williams, H.C., Thomas, K.S., Keogh-Brown, M.R., Chalmers, J.R., Fordham, R.J., Holland, R.C., Armstrong, S.J., Bachmann, M.O., Howe, A.H., Rodgers, S., Avery, Anthony, Harvey, I., and Williams, H.C.
Abstract: Objectives: To estimate the costs of commonly used treatments for cutaneous warts, as well as their health benefits and risk. To create an economic decision model to evaluate the cost-effectiveness of these treatments, and, as a result, assess whether a randomised controlled trial (RCT) would be feasible and cost-effective. Data sources: Focus groups, structured interviews and observation of practice. Postal survey sent to 723 patients. A recently updated Cochrane systematic review and published cost and prescribing data. Review methods: Primary and secondary data collection methods were used to inform the development of an economic decision model. Data from the postal survey provided estimates of the effectiveness of wart treatments in a primary care setting. These estimates were compared with outcomes reported in the Cochrane review of wart treatment, which were largely obtained from RCTs conducted in secondary care. A decision model was developed including a variety of over-the-counter (OTC) and GPprescribed treatments. The model simulated 10,000 patients and adopted a societal perspective. Results: OTC treatments were used by a substantial number of patients (57%) before attending the GP surgery. By far the most commonly used OTC preparation was salicylic acid (SA). The results of the economic model suggested that of the treatments prescribed by a GP, the most cost-effective treatment was SA, with an incremental cost-effectiveness ratio (ICER) of 2.20 £/% cured. The ICERs for cryotherapy varied widely (from 1.95 to 7.06 £/% cured) depending on the frequency of applications and the mode of delivery. The most cost-effective mode of delivery was through nurse-led cryotherapy clinics (ICER = 1.95 £/% cured) and this could be a cost-effective alternative to GP-prescribed SA. Overall, the OTC therapies were the most cost-effective treatment options. ICERs ranged from 0.22 £/% cured for OTC duct tape and 0.76 £/% cured for OTC cryotherapy to 1.12 £/% cured for OTC SA.

49. Effectiveness and cost-effectiveness of salicylic acid and cryotherapy for cutaneous warts: an economic decision model

Author: Thomas, K.S., Keogh-Brown, M.R., Chalmers, J.R., Fordham, R.J., Holland, R.C., Armstrong, S.J., Bachmann, M.O., Howe, A.H., Rodgers, S., Avery, Anthony, Harvey, I., Williams, H.C., Thomas, K.S., Keogh-Brown, M.R., Chalmers, J.R., Fordham, R.J., Holland, R.C., Armstrong, S.J., Bachmann, M.O., Howe, A.H., Rodgers, S., Avery, Anthony, Harvey, I., and Williams, H.C.
Abstract: Objectives: To estimate the costs of commonly used treatments for cutaneous warts, as well as their health benefits and risk. To create an economic decision model to evaluate the cost-effectiveness of these treatments, and, as a result, assess whether a randomised controlled trial (RCT) would be feasible and cost-effective. Data sources: Focus groups, structured interviews and observation of practice. Postal survey sent to 723 patients. A recently updated Cochrane systematic review and published cost and prescribing data. Review methods: Primary and secondary data collection methods were used to inform the development of an economic decision model. Data from the postal survey provided estimates of the effectiveness of wart treatments in a primary care setting. These estimates were compared with outcomes reported in the Cochrane review of wart treatment, which were largely obtained from RCTs conducted in secondary care. A decision model was developed including a variety of over-the-counter (OTC) and GPprescribed treatments. The model simulated 10,000 patients and adopted a societal perspective. Results: OTC treatments were used by a substantial number of patients (57%) before attending the GP surgery. By far the most commonly used OTC preparation was salicylic acid (SA). The results of the economic model suggested that of the treatments prescribed by a GP, the most cost-effective treatment was SA, with an incremental cost-effectiveness ratio (ICER) of 2.20 £/% cured. The ICERs for cryotherapy varied widely (from 1.95 to 7.06 £/% cured) depending on the frequency of applications and the mode of delivery. The most cost-effective mode of delivery was through nurse-led cryotherapy clinics (ICER = 1.95 £/% cured) and this could be a cost-effective alternative to GP-prescribed SA. Overall, the OTC therapies were the most cost-effective treatment options. ICERs ranged from 0.22 £/% cured for OTC duct tape and 0.76 £/% cured for OTC cryotherapy to 1.12 £/% cured for OTC SA.

50. Effectiveness and cost-effectiveness of salicylic acid and cryotherapy for cutaneous warts: an economic decision model

Author: Thomas, K.S., Keogh-Brown, M.R., Chalmers, J.R., Fordham, R.J., Holland, R.C., Armstrong, S.J., Bachmann, M.O., Howe, A.H., Rodgers, S., Avery, Anthony, Harvey, I., Williams, H.C., Thomas, K.S., Keogh-Brown, M.R., Chalmers, J.R., Fordham, R.J., Holland, R.C., Armstrong, S.J., Bachmann, M.O., Howe, A.H., Rodgers, S., Avery, Anthony, Harvey, I., and Williams, H.C.
Abstract: Objectives: To estimate the costs of commonly used treatments for cutaneous warts, as well as their health benefits and risk. To create an economic decision model to evaluate the cost-effectiveness of these treatments, and, as a result, assess whether a randomised controlled trial (RCT) would be feasible and cost-effective. Data sources: Focus groups, structured interviews and observation of practice. Postal survey sent to 723 patients. A recently updated Cochrane systematic review and published cost and prescribing data. Review methods: Primary and secondary data collection methods were used to inform the development of an economic decision model. Data from the postal survey provided estimates of the effectiveness of wart treatments in a primary care setting. These estimates were compared with outcomes reported in the Cochrane review of wart treatment, which were largely obtained from RCTs conducted in secondary care. A decision model was developed including a variety of over-the-counter (OTC) and GPprescribed treatments. The model simulated 10,000 patients and adopted a societal perspective. Results: OTC treatments were used by a substantial number of patients (57%) before attending the GP surgery. By far the most commonly used OTC preparation was salicylic acid (SA). The results of the economic model suggested that of the treatments prescribed by a GP, the most cost-effective treatment was SA, with an incremental cost-effectiveness ratio (ICER) of 2.20 £/% cured. The ICERs for cryotherapy varied widely (from 1.95 to 7.06 £/% cured) depending on the frequency of applications and the mode of delivery. The most cost-effective mode of delivery was through nurse-led cryotherapy clinics (ICER = 1.95 £/% cured) and this could be a cost-effective alternative to GP-prescribed SA. Overall, the OTC therapies were the most cost-effective treatment options. ICERs ranged from 0.22 £/% cured for OTC duct tape and 0.76 £/% cured for OTC cryotherapy to 1.12 £/% cured for OTC SA.

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