@article {8530,
	title = {{Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria},
	journal = {Nat Commun},
	volume = {10},
	year = {2019},
	month = {09},
	pages = {4130},
	abstract = {Increased levels of the urinary albumin-to-creatinine ratio (UACR) are associated with higher risk of kidney disease progression and cardiovascular events, but underlying mechanisms are incompletely understood. Here, we conduct trans-ethnic (n = 564,257) and European-ancestry specific meta-analyses of genome-wide association studies of UACR, including ancestry- and diabetes-specific analyses, and identify 68 UACR-associated loci. Genetic correlation analyses and risk score associations in an independent electronic medical records database (n = 192,868) reveal connections with proteinuria, hyperlipidemia, gout, and hypertension. Fine-mapping and trans-Omics analyses with gene expression in 47 tissues and plasma protein levels implicate genes potentially operating through differential expression in kidney (including TGFB1, MUC1, PRKCI, and OAF), and allow coupling of UACR associations to altered plasma OAF concentrations. Knockdown of OAF and PRKCI orthologs in Drosophila nephrocytes reduces albumin endocytosis. Silencing fly PRKCI further impairs slit diaphragm formation. These results generate a priority list of genes and pathways for translational research to reduce albuminuria.},
	author = {Teumer, A. and Li, Y. and Ghasemi, S. and Prins, B. P. and Wuttke, M. and Hermle, T. and Giri, A. and Sieber, K. B. and Qiu, C. and Kirsten, H. and Tin, A. and Chu, A. Y. and Bansal, N. and Feitosa, M. F. and Wang, L. and Chai, J. F. and Cocca, M. and Fuchsberger, C. and Gorski, M. and Hoppmann, A. and Horn, K. and Li, M. and Marten, J. and Noce, D. and Nutile, T. and Sedaghat, S. and Sveinbjornsson, G. and Tayo, B. O. and van der Most, P. J. and Xu, Y. and Yu, Z. and Gerstner, L. and ?rnl?v, J. and Bakker, S. J. L. and Baptista, D. and Biggs, M. L. and Boerwinkle, E. and Brenner, H. and Burkhardt, R. and Carroll, R. J. and Chee, M. L. and Chee, M. L. and Chen, M. and Cheng, C. Y. and Cook, J. P. and Coresh, J. and Corre, T. and Danesh, J. and de Borst, M. H. and De Grandi, A. and de Mutsert, R. and de Vries, A. P. J. and Degenhardt, F. and Dittrich, K. and Divers, J. and Eckardt, K. U. and Ehret, G. and Endlich, K. and Felix, J. F. and Franco, O. H. and Franke, A. and Freedman, B. I. and Freitag-Wolf, S. and Gansevoort, R. T. and Giedraitis, V. and G?gele, M. and Grundner-Culemann, F. and Gudbjartsson, D. F. and Gudnason, V. and Hamet, P. and Harris, T. B. and Hicks, A. A. and Holm, H. and Foo, V. H. X. and Hwang, S. J. and Ikram, M. A. and Ingelsson, E. and Jaddoe, V. W. V. and Jakobsdottir, J. and Josyula, N. S. and Jung, B. and K?h?nen, M. and Khor, C. C. and Kiess, W. and Koenig, W. and K?rner, A. and Kovacs, P. and Kramer, H. and Kr?mer, B. K. and Kronenberg, F. and Lange, L. A. and Langefeld, C. D. and Lee, J. J. and Lehtim?ki, T. and Lieb, W. and Lim, S. C. and Lind, L. and Lindgren, C. M. and Liu, J. and Loeffler, M. and Lyytik?inen, L. P. and Mahajan, A. and Maranville, J. C. and Mascalzoni, D. and McMullen, B. and Meisinger, C. and Meitinger, T. and Miliku, K. and Mook-Kanamori, D. O. and M?ller-Nurasyid, M. and Mychaleckyj, J. C. and Nauck, M. and Nikus, K. and Ning, B. and Noordam, R. and Connell, J. O. and Olafsson, I. and Palmer, N. D. and Peters, A. and Podgornaia, A. I. and Ponte, B. and Poulain, T. and Pramstaller, P. P. and Rabelink, T. J. and Raffield, L. M. and Reilly, D. F. and Rettig, R. and Rheinberger, M. and Rice, K. M. and Rivadeneira, F. and Runz, H. and Ryan, K. A. and Sabanayagam, C. and Saum, K. U. and Sch?ttker, B. and Shaffer, C. M. and Shi, Y. and Smith, A. V. and Strauch, K. and Stumvoll, M. and Sun, B. B. and Szymczak, S. and Tai, E. S. and Tan, N. Y. Q. and Taylor, K. D. and Teren, A. and Tham, Y. C. and Thiery, J. and Thio, C. H. L. and Thomsen, H. and Thorsteinsdottir, U. and T?njes, A. and Tremblay, J. and Uitterlinden, A. G. and van der Harst, P. and Verweij, N. and Vogelezang, S. and V?lker, U. and Waldenberger, M. and Wang, C. and Wilson, O. D. and Wong, C. and Wong, T. Y. and Yang, Q. and Yasuda, M. and Akilesh, S. and Bochud, M. and B?ger, C. A. and Devuyst, O. and Edwards, T. L. and Ho, K. and Morris, A. P. and Parsa, A. and Pendergrass, S. A. and Psaty, B. M. and Rotter, J. I. and Stefansson, K. and Wilson, J. G. and Susztak, K. and Snieder, H. and Heid, I. M. and Scholz, M. and Butterworth, A. S. and Hung, A. M. and Pattaro, C. and K?ttgen, A.}
}
@article {8531,
	title = {{The impact of APOE genotype on survival: Results of 38,537 participants from six population-based cohorts (E2-CHARGE)},
	journal = {PLoS One},
	volume = {14},
	year = {2019},
	pages = {e0219668},
	abstract = {Apolipoprotein E is a glycoprotein best known as a mediator and regulator of lipid transport and uptake. The APOE-{\^I}{\textmu}4 allele has long been associated with increased risks of Alzheimer{\textquoteright}s disease and mortality, but the effect of the less prevalent APOE-{\^I}{\textmu}2 allele on diseases in the elderly and survival remains elusive.\ We aggregated data of 38,537 individuals of European ancestry (mean age 65.5 years; 55.6\% women) from six population-based cohort studies (Rotterdam Study, AGES-Reykjavik Study, Cardiovascular Health Study, Health-ABC Study, and the family-based Framingham Heart Study and Long Life Family Study) to determine the association of APOE, and in particular APOE-{\^I}{\textmu}2, with survival in the population.\ During a mean follow-up of 11.7 years, 17,021 individuals died. Compared with homozygous APOE-{\^I}{\textmu}3 carriers, APOE-{\^I}{\textmu}2 carriers were at lower risk of death (hazard ratio,95\% confidence interval: 0.94,0.90-0.99; P = 1.1*10-2), whereas APOE-{\^I}{\textmu}4 carriers were at increased risk of death (HR 1.17,1.12-1.21; P = 2.8*10-16). APOE was associated with mortality risk in a dose-dependent manner, with risk estimates lowest for homozygous APOE-{\^I}{\textmu}2 (HR 0.89,0.74-1.08), and highest for homozygous APOE-{\^I}{\textmu}4 (HR 1.52,1.37-1.70). After censoring for dementia, effect estimates remained similar for APOE-{\^I}{\textmu}2 (HR 0.95,0.90-1.01), but attenuated for APOE-{\^I}{\textmu}4 (HR 1.07,1.01-1.12). Results were broadly similar across cohorts, and did not differ by age or sex. APOE genotype was associated with baseline lipid fractions (e.g. mean difference(95\%CI) in LDL(mg/dL) for {\^I}{\textmu}2 versus {\^I}{\textmu}33: -17.1(-18.1-16.0), and {\^I}{\textmu}4 versus {\^I}{\textmu}33: +5.7(4.8;6.5)), but the association between APOE and mortality was unaltered after adjustment for baseline LDL or cardiovascular disease. Given the European ancestry of the study population, results may not apply to other ethnicities.\ Compared with APOE-{\^I}{\textmu}3, APOE-{\^I}{\textmu}2 is associated with prolonged survival, whereas mortality risk is increased for APOE-{\^I}{\textmu}4 carriers. Further collaborative efforts are needed to unravel the role of APOE and in particular APOE-{\^I}{\textmu}2 in health and disease.},
	author = {Wolters, F. J. and Yang, Q. and Biggs, M. L. and Jakobsdottir, J. and Li, S. and Evans, D. S. and Bis, J. C. and Harris, T. B. and Vasan, R. S. and Zilhao, N. R. and Ghanbari, M. and Ikram, M. A. and Launer, L. and Psaty, B. M. and Tranah, G. J. and Kulminski, A. M. and Gudnason, V. and Seshadri, S.}
}
@article {8510,
	title = {{A meta-analysis of genome-wide association studies identifies multiple longevity genes},
	journal = {Nat Commun},
	volume = {10},
	year = {2019},
	month = {08},
	pages = {3669},
	abstract = {Human longevity is heritable, but genome-wide association (GWA) studies have had limited success. Here, we perform two meta-analyses of GWA studies of a rigorous longevity phenotype definition including 11,262/3484 cases surviving at or beyond the age corresponding to the 90th/99th survival percentile, respectively, and 25,483 controls whose age at death or at last contact was at or below the age corresponding to the 60th survival percentile. Consistent with previous reports, rs429358 (apolipoprotein E (ApoE) {\^I}{\textmu}4) is associated with lower odds of surviving to the 90th and 99th percentile age, while rs7412 (ApoE {\^I}{\textmu}2) shows the opposite. Moreover, rs7676745, located near GPR78, associates with lower odds of surviving to the 90th percentile age. Gene-level association analysis reveals a role for tissue-specific expression of multiple genes in longevity. Finally, genetic correlation of the longevity GWA results with that of several disease-related phenotypes points to a shared genetic architecture between health and longevity.},
	author = {Deelen, J. and Evans, D. S. and Arking, D. E. and Tesi, N. and Nygaard, M. and Liu, X. and Wojczynski, M. K. and Biggs, M. L. and van der Spek, A. and Atzmon, G. and Ware, E. B. and Sarnowski, C. and Smith, A. V. and Sepp?l?, I. and Cordell, H. J. and Dose, J. and Amin, N. and Arnold, A. M. and Ayers, K. L. and Barzilai, N. and Becker, E. J. and Beekman, M. and Blanch?, H. and Christensen, K. and Christiansen, L. and Collerton, J. C. and Cubaynes, S. and Cummings, S. R. and Davies, K. and Debrabant, B. and Deleuze, J. F. and Duncan, R. and Faul, J. D. and Franceschi, C. and Galan, P. and Gudnason, V. and Harris, T. B. and Huisman, M. and Hurme, M. A. and Jagger, C. and Jansen, I. and Jylh?, M. and K?h?nen, M. and Karasik, D. and Kardia, S. L. R. and Kingston, A. and Kirkwood, T. B. L. and Launer, L. J. and Lehtim?ki, T. and Lieb, W. and Lyytik?inen, L. P. and Martin-Ruiz, C. and Min, J. and Nebel, A. and Newman, A. B. and Nie, C. and Nohr, E. A. and Orwoll, E. S. and Perls, T. T. and Province, M. A. and Psaty, B. M. and Raitakari, O. T. and Reinders, M. J. T. and Robine, J. M. and Rotter, J. I. and Sebastiani, P. and Smith, J. and S?rensen, T. I. A. and Taylor, K. D. and Uitterlinden, A. G. and van der Flier, W. and van der Lee, S. J. and van Duijn, C. M. and van Heemst, D. and Vaupel, J. W. and Weir, D. and Ye, K. and Zeng, Y. and Zheng, W. and Holstege, H. and Kiel, D. P. and Lunetta, K. L. and Slagboom, P. E. and Murabito, J. M.}
}
@article {9310,
	title = {{A meta-analysis of genome-wide association studies identifies multiple longevity genes},
	journal = {Nat Commun},
	volume = {10},
	year = {2019},
	month = {Aug},
	pages = {3669},
	abstract = {2) shows the opposite. Moreover, rs7676745, located near GPR78, associates with lower odds of surviving to the 90th percentile age. Gene-level association analysis reveals a role for tissue-specific expression of multiple genes in longevity. Finally, genetic correlation of the longevity GWA results with that of several disease-related phenotypes points to a shared genetic architecture between health and longevity.},
	author = {Deelen, J. and Evans, D. S. and Arking, D. E. and Tesi, N. and Nygaard, M. and Liu, X. and Wojczynski, M. K. and Biggs, M. L. and van der Spek, A. and Atzmon, G. and Ware, E. B. and Sarnowski, C. and Smith, A. V. and {\"a}, I. and Cordell, H. J. and Dose, J. and Amin, N. and Arnold, A. M. and Ayers, K. L. and Barzilai, N. and Becker, E. J. and Beekman, M. and {\'e}, H. and Christensen, K. and Christiansen, L. and Collerton, J. C. and Cubaynes, S. and Cummings, S. R. and Davies, K. and Debrabant, B. and Deleuze, J. F. and Duncan, R. and Faul, J. D. and Franceschi, C. and Galan, P. and Gudnason, V. and Harris, T. B. and Huisman, M. and Hurme, M. A. and Jagger, C. and Jansen, I. and {\"a}, M. and nen, M. and Karasik, D. and Kardia, S. L. R. and Kingston, A. and Kirkwood, T. B. L. and Launer, L. J. and ki, T. and Lieb, W. and inen, L. P. and Martin-Ruiz, C. and Min, J. and Nebel, A. and Newman, A. B. and Nie, C. and Nohr, E. A. and Orwoll, E. S. and Perls, T. T. and Province, M. A. and Psaty, B. M. and Raitakari, O. T. and Reinders, M. J. T. and Robine, J. M. and Rotter, J. I. and Sebastiani, P. and Smith, J. and rensen, T. I. A. and Taylor, K. D. and Uitterlinden, A. G. and van der Flier, W. and van der Lee, S. J. and van Duijn, C. M. and van Heemst, D. and Vaupel, J. W. and Weir, D. and Ye, K. and Zeng, Y. and Zheng, W. and Holstege, H. and Kiel, D. P. and Lunetta, K. L. and Slagboom, P. E. and Murabito, J. M.}
}
@article {8528,
	title = {{Soluble CD14 and CD14 Variants, Other Inflammatory Markers, and Glucose Dysregulation in Older Adults: The Cardiovascular Health Study},
	journal = {Diabetes Care},
	volume = {42},
	year = {2019},
	month = {11},
	pages = {2075{\textendash}2082},
	abstract = {Experimental studies have implicated soluble (s)CD14, an effector of lipopolysaccharide-induced inflammation, in insulin resistance, but its role in human metabolic endotoxemia has not been studied. We evaluated sCD14 in relation to dysglycemia in older adults and how this compares to other markers of inflammation.\ We investigated associations of sCD14, interleukin-6 (IL-6), CRP, and white blood cell (WBC) count with insulin resistance (quantitative insulin-sensitivity check index and HOMA 2 of insulin resistance) and incident type 2 diabetes in a population-based cohort of older adults. We also assessed the causal role of sCD14 in insulin resistance using an instrumental variable approach by Mendelian randomization.\ After adjustment for conventional risk factors, each of the four biomarkers showed positive cross-sectional associations with both insulin resistance measures. These associations persisted after mutual adjustment for all markers except sCD14. Over a median follow-up of 11.6 years, 466 cases of diabetes occurred. All biomarkers except sCD14 were positively associated with diabetes, although only WBC count remained associated (hazard ratio 1.43 per doubling [95\% CI 1.07, 1.90]) after mutual adjustment. Instrumental variable analysis did not support a causal role for sCD14 in insulin resistance.\ Among older adults, sCD14 was associated with insulin resistance, but this disappeared after adjustment for other biomarkers, showed no evidence of a causal basis, and was not accompanied by a similar association with diabetes. IL-6, CRP, and WBC count were each associated with insulin resistance and diabetes, WBC count most robustly. These findings do not support a central role for sCD14, but they highlight the preeminence of WBC count as an inflammatory measure of diabetes risk in this population.},
	author = {Shitole, S. G. and Biggs, M. L. and Reiner, A. P. and Mukamal, K. J. and Djouss?, L. and Ix, J. H. and Barzilay, J. I. and Tracy, R. P. and Siscovick, D. and Kizer, J. R.}
}
@article {8289,
	title = {{Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure},
	journal = {Nat Commun},
	volume = {11},
	year = {2020},
	month = {01},
	pages = {163},
	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.},
	author = {Shah, S. and Henry, A. and Roselli, C. and Lin, H. and Sveinbj?rnsson, G. and Fatemifar, G. and Hedman, ?. K. and Wilk, J. B. and Morley, M. P. and Chaffin, M. D. and Helgadottir, A. and Verweij, N. and Dehghan, A. and Almgren, P. and Andersson, C. and Aragam, K. G. and ?rnl?v, J. and Backman, J. D. and Biggs, M. L. and Bloom, H. L. and Brandimarto, J. and Brown, M. R. and Buckbinder, L. and Carey, D. J. and Chasman, D. I. and Chen, X. and Chen, X. and Chung, J. and Chutkow, W. and Cook, J. P. and Delgado, G. E. and Denaxas, S. and Doney, A. S. and D?rr, M. and Dudley, S. C. and Dunn, M. E. and Engstr?m, G. and Esko, T. and Felix, S. B. and Finan, C. and Ford, I. and Ghanbari, M. and Ghasemi, S. and Giedraitis, V. and Giulianini, F. and Gottdiener, J. S. and Gross, S. and Gu?bjartsson, D. F. and Gutmann, R. and Haggerty, C. M. and van der Harst, P. and Hyde, C. L. and Ingelsson, E. and Jukema, J. W. and Kavousi, M. and Khaw, K. T. and Kleber, M. E. and K?ber, L. and Koekemoer, A. and Langenberg, C. and Lind, L. and Lindgren, C. M. and London, B. and Lotta, L. A. and Lovering, R. C. and Luan, J. and Magnusson, P. and Mahajan, A. and Margulies, K. B. and M?rz, W. and Melander, O. and Mordi, I. R. and Morgan, T. and Morris, A. D. and Morris, A. P. and Morrison, A. C. and Nagle, M. W. and Nelson, C. P. and Niessner, A. and Niiranen, T. and O{\textquoteright}Donoghue, M. L. and Owens, A. T. and Palmer, C. N. A. and Parry, H. M. and Perola, M. and Portilla-Fernandez, E. and Psaty, B. M. and Rice, K. M. and Ridker, P. M. and Romaine, S. P. R. and Rotter, J. I. and Salo, P. and Salomaa, V. and van Setten, J. and Shalaby, A. A. and Smelser, D. T. and Smith, N. L. and Stender, S. and Stott, D. J. and Svensson, P. and Tammesoo, M. L. and Taylor, K. D. and Teder-Laving, M. and Teumer, A. and Thorgeirsson, G. and Thorsteinsdottir, U. and Torp-Pedersen, C. and Trompet, S. and Tyl, B. and Uitterlinden, A. G. and Veluchamy, A. and V?lker, U. and Voors, A. A. and Wang, X. and Wareham, N. J. and Waterworth, D. and Weeke, P. E. and Weiss, R. and Wiggins, K. L. and Xing, H. and Yerges-Armstrong, L. M. and Yu, B. and Zannad, F. and Zhao, J. H. and Hemingway, H. and Samani, N. J. and McMurray, J. J. V. and Yang, J. and Visscher, P. M. and Newton-Cheh, C. and Malarstig, A. and Holm, H. and Lubitz, S. A. and Sattar, N. and Holmes, M. V. and Cappola, T. P. and Asselbergs, F. W. and Hingorani, A. D. and Kuchenbaecker, K. and Ellinor, P. T. and Lang, C. C. and Stefansson, K. and Smith, J. G. and Vasan, R. S. and Swerdlow, D. I. and Lumbers, R. T. and Abecasis, G. and Backman, J. and Bai, X. and Balasubramanian, S. and Banerjee, N. and Baras, A. and Barnard, L. and Beechert, C. and Blumenfeld, A. and Cantor, M. and Chai, Y. and Chung, J. and Coppola, G. and Damask, A. and Dewey, F. and Economides, A. and Eom, G. and Forsythe, C. and Fuller, E. D. and Gu, Z. and Gurski, L. and Guzzardo, P. M. and Habegger, L. and Hahn, Y. and Hawes, A. and van Hout, C. and Jones, M. B. and Khalid, S. and Lattari, M. and Li, A. and Lin, N. and Liu, D. and Lopez, A. and Manoochehri, K. and Marchini, J. and Marcketta, A. and Maxwell, E. K. and McCarthy, S. and Mitnaul, L. J. and O{\textquoteright}Dushlaine, C. and Overton, J. D. and Padilla, M. S. and Paulding, C. and Penn, J. and Pradhan, M. and Reid, J. G. and Schleicher, T. D. and Schurmann, C. and Shuldiner, A. and Staples, J. C. and Sun, D. and Toledo, K. and Ulloa, R. H. and Widom, L. and Wolf, S. E. and Yadav, A. and Ye, B.}
}
@article {8660,
	title = {{Genome-wide meta-analysis of muscle weakness identifies 15 susceptibility loci in older men and women},
	journal = {Nat Commun},
	volume = {12},
	year = {2021},
	month = {01},
	pages = {654},
	abstract = {Low muscle strength is an important heritable indicator of poor health linked to morbidity and mortality in older people. In a genome-wide association study meta-analysis of 256,523 Europeans aged 60 years and over from 22 cohorts we identify 15 loci associated with muscle weakness (European Working Group on Sarcopenia in Older People definition: n = 48,596 cases, 18.9\% of total), including 12 loci not implicated in previous analyses of continuous measures of grip strength. Loci include genes reportedly involved in autoimmune disease (HLA-DQA1 p = 4 {\texttimes} 10-17), arthritis (GDF5 p = 4 {\texttimes} 10-13), cell cycle control and cancer protection, regulation of transcription, and others involved in the development and maintenance of the musculoskeletal system. Using Mendelian randomization we report possible overlapping causal pathways, including diabetes susceptibility, haematological parameters, and the immune system. We conclude that muscle weakness in older adults has distinct mechanisms from continuous strength, including several pathways considered to be hallmarks of ageing.},
	author = {Jones, G. and Trajanoska, K. and Santanasto, A. J. and Stringa, N. and Kuo, C. L. and Atkins, J. L. and Lewis, J. R. and Duong, T. and Hong, S. and Biggs, M. L. and Luan, J. and Sarnowski, C. and Lunetta, K. L. and Tanaka, T. and Wojczynski, M. K. and Cvejkus, R. and Nethander, M. and Ghasemi, S. and Yang, J. and Zillikens, M. C. and Walter, S. and Sicinski, K. and Kague, E. and Ackert-Bicknell, C. L. and Arking, D. E. and Windham, B. G. and Boerwinkle, E. and Grove, M. L. and Graff, M. and Spira, D. and Demuth, I. and Van der Velde, N. and de Groot, L. C. P. G. M. and Psaty, B. M. and Odden, M. C. and Fohner, A. E. and Langenberg, C. and Wareham, N. J. and Bandinelli, S. and van Schoor, N. M. and Huisman, M. and Tan, Q. and Zmuda, J. and Mellstr{\"o}m, D. and Karlsson, M. and Bennett, D. A. and Buchman, A. S. and De Jager, P. L. and Uitterlinden, A. G. and V{\"o}lker, U. and Kocher, T. and Teumer, A. and Rodrigu{\'e}z-Ma{\~n}as, L. and Garc{\'\i}a, F. J. and Carnicero, J. A. and Herd, P. and Bertram, L. and Ohlsson, C. and Murabito, J. M. and Melzer, D. and Kuchel, G. A. and Ferrucci, L. and Karasik, D. and Rivadeneira, F. and Kiel, D. P. and Pilling, L. C.}
}
@article {8925,
	title = {{The genomics of heart failure: design and rationale of the HERMES consortium},
	journal = {ESC Heart Fail},
	year = {2021},
	month = {Sep},
	abstract = {The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure.\ under an additive genetic model.\ HERMES is a global collaboration aiming to (i) identify the genetic determinants of heart failure; (ii) generate insights into the causal pathways leading to heart failure and enable genetic approaches to target prioritization; and (iii) develop genomic tools for disease stratification and risk prediction.},
	author = {Lumbers, R. T. and Shah, S. and Lin, H. and Czuba, T. and Henry, A. and Swerdlow, D. I. and Malarstig, A. and Andersson, C. and Verweij, N. and Holmes, M. V. and {\"A}rnl{\"o}v, J. and Svensson, P. and Hemingway, H. and Sallah, N. and Almgren, P. and Aragam, K. G. and Asselin, G. and Backman, J. D. and Biggs, M. L. and Bloom, H. L. and Boersma, E. and Brandimarto, J. and Brown, M. R. and Brunner-La Rocca, H. P. and Carey, D. J. and Chaffin, M. D. and Chasman, D. I. and Chazara, O. and Chen, X. and Chen, X. and Chung, J. H. and Chutkow, W. and Cleland, J. G. F. and Cook, J. P. and de Denus, S. and Dehghan, A. and Delgado, G. E. and Denaxas, S. and Doney, A. S. and D{\"o}rr, M. and Dudley, S. C. and Engstr{\"o}m, G. and Esko, T. and Fatemifar, G. and Felix, S. B. and Finan, C. and Ford, I. and Fougerousse, F. and Fouodjio, R. and Ghanbari, M. and Ghasemi, S. and Giedraitis, V. and Giulianini, F. and Gottdiener, J. S. and Gross, S. and Gu{\dh}bjartsson, D. F. and Gui, H. and Gutmann, R. and Haggerty, C. M. and van der Harst, P. and Hedman, {\r A}. K. and Helgadottir, A. and Hillege, H. and Hyde, C. L. and Jacob, J. and Jukema, J. W. and Kamanu, F. and Kardys, I. and Kavousi, M. and Khaw, K. T. and Kleber, M. E. and K{\o}ber, L. and Koekemoer, A. and Kraus, B. and Kuchenbaecker, K. and Langenberg, C. and Lind, L. and Lindgren, C. M. and London, B. and Lotta, L. A. and Lovering, R. C. and Luan, J. and Magnusson, P. and Mahajan, A. and Mann, D. and Margulies, K. B. and Marston, N. A. and M{\"a}rz, W. and McMurray, J. J. V. and Melander, O. and Melloni, G. and Mordi, I. R. and Morley, M. P. and Morris, A. D. and Morris, A. P. and Morrison, A. C. and Nagle, M. W. and Nelson, C. P. and Newton-Cheh, C. and Niessner, A. and Niiranen, T. and Nowak, C. and O{\textquoteright}Donoghue, M. L. and Owens, A. T. and Palmer, C. N. A. and Pare, G. and Perola, M. and Perreault, L. L. and Portilla-Fernandez, E. and Psaty, B. M. and Rice, K. M. and Ridker, P. M. and Romaine, S. P. R. and Roselli, C. and Rotter, J. I. and Ruff, C. T. and Sabatine, M. S. and Salo, P. and Salomaa, V. and van Setten, J. and Shalaby, A. A. and Smelser, D. T. and Smith, N. L. and Stefansson, K. and Stender, S. and Stott, D. J. and Sveinbjornsson, G. and Tammesoo, M. L. and Tardif, J. C. and Taylor, K. D. and Teder-Laving, M. and Teumer, A. and Thorgeirsson, G. and Thorsteinsdottir, U. and Torp-Pedersen, C. and Trompet, S. and Tuckwell, D. and Tyl, B. and Uitterlinden, A. G. and Vaura, F. and Veluchamy, A. and Visscher, P. M. and V{\"o}lker, U. and Voors, A. A. and Wang, X. and Wareham, N. J. and Weeke, P. E. and Weiss, R. and White, H. D. and Wiggins, K. L. and Xing, H. and Yang, J. and Yang, Y. and Yerges-Armstrong, L. M. and Yu, B. and Zannad, F. and Zhao, F. and Wilk, J. B. and Holm, H. and Sattar, N. and Lubitz, S. A. and Lanfear, D. E. and Shah, S. and Dunn, M. E. and Wells, Q. S. and Asselbergs, F. W. and Hingorani, A. D. and Dub{\'e}, M. P. and Samani, N. J. and Lang, C. C. and Cappola, T. P. and Ellinor, P. T. and Vasan, R. S. and Smith, J. G.}
}
@article {9312,
	title = {{Genetic and clinical determinants of abdominal aortic diameter: genome-wide association studies, exome array data and Mendelian randomization study},
	journal = {Hum Mol Genet},
	volume = {31},
	year = {2022},
	month = {Oct},
	pages = {3566{\textendash}3579},
	abstract = {0.0001), known risk factors for AAA, consistent with a causal association with AAD. Our findings point to new biology as well as highlighting gene regions in mechanisms that have previously been implicated in the genetics of other vascular diseases.},
	author = {Portilla-Fernandez, E. and Klarin, D. and Hwang, S. J. and Biggs, M. L. and Bis, J. C. and Weiss, S. and Rospleszcz, S. and Natarajan, P. and Hoffmann, U. and Rogers, I. S. and Truong, Q. A. and lker, U. and rr, M. and low, R. and Criqui, M. H. and Allison, M. and Ganesh, S. K. and Yao, J. and Waldenberger, M. and Bamberg, F. and Rice, K. M. and Essers, J. and Kapteijn, D. M. C. and van der Laan, S. W. and de Knegt, R. J. and Ghanbari, M. and Felix, J. F. and Ikram, M. A. and Kavousi, M. and Uitterlinden, A. G. and Roks, A. J. M. and Danser, A. H. J. and Tsao, P. S. and Damrauer, S. M. and Guo, X. and Rotter, J. I. and Psaty, B. M. and Kathiresan, S. and lzke, H. and Peters, A. and Johnson, C. and Strauch, K. and Meitinger, T. and O{\textquoteright}Donnell, C. J. and Dehghan, A.}
}
@article {9103,
	title = {{Genome-wide studies reveal factors associated with circulating uromodulin and its relationships to complex diseases},
	journal = {JCI Insight},
	volume = {7},
	year = {2022},
	month = {05},
	abstract = {Uromodulin (UMOD) is a major risk gene for monogenic and complex forms of kidney disease. The encoded kidney-specific protein uromodulin is highly abundant in urine and related to chronic kidney disease, hypertension, and pathogen defense. To gain insights into potential systemic roles, we performed genome-wide screens of circulating uromodulin using complementary antibody-based and aptamer-based assays. We detected 3 and 10 distinct significant loci, respectively. Integration of antibody-based results at the UMOD locus with functional genomics data (RNA-Seq, ATAC-Seq, Hi-C) of primary human kidney tissue highlighted an upstream variant with differential accessibility and transcription in uromodulin-synthesizing kidney cells as underlying the observed cis effect. Shared association patterns with complex traits, including chronic kidney disease and blood pressure, placed the PRKAG2 locus in the same pathway as UMOD. Experimental validation of the third antibody-based locus, B4GALNT2, showed that the p.Cys466Arg variant of the encoded N-acetylgalactosaminyltransferase had a loss-of-function effect leading to higher serum uromodulin levels. Aptamer-based results pointed to enzymes writing glycan marks present on uromodulin and to their receptors in the circulation, suggesting that this assay permits investigating uromodulin{\textquoteright}s complex glycosylation rather than its quantitative levels. Overall, our study provides insights into circulating uromodulin and its emerging functions.},
	author = {Li, Y. and Cheng, Y. and Consolato, F. and Schiano, G. and Chong, M. R. and Pietzner, M. and Nguyen, N. Q. H. and Scherer, N. and Biggs, M. L. and Kleber, M. E. and Haug, S. and G{\"o}{\c c}men, B. and Pigeyre, M. and Sekula, P. and Steinbrenner, I. and Schlosser, P. and Joseph, C. B. and Brody, J. A. and Grams, M. E. and Hayward, C. and Schultheiss, U. T. and Kr{\"a}mer, B. K. and Kronenberg, F. and Peters, A. and Seissler, J. and Steubl, D. and Then, C. and Wuttke, M. and M{\"a}rz, W. and Eckardt, K. U. and Gieger, C. and Boerwinkle, E. and Psaty, B. M. and Coresh, J. and Oefner, P. J. and Pare, G. and Langenberg, C. and Scherberich, J. E. and Yu, B. and Akilesh, S. and Devuyst, O. and Rampoldi, L. and K{\"o}ttgen, A.}
}
