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1,489 results on '"Deary, IJ."'

1. Associations between total MRI-visible small vessel disease burden and domain-specific cognitive abilities in a community-dwelling older-age cohort

Author: Hamilton, OKL, Cox, SR, Ballerini, L, Bastin, ME, Corley, J, Gow, AJ, Muñoz Maniega, S, Redmond, P, Valdés Hernández, M del C, Wardlaw, JM, and Deary, IJ
Published: 2021
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2. Association analyses identify 31 new risk loci for colorectal cancer susceptibility

Author: Law, PJ, Timofeeva, M, Fernandez-Rozadilla, C, Broderick, P, Studd, J, Fernandez-Tajes, J, Farrington, S, Svinti, V, Palles, C, Orlando, G, Sud, A, Holroyd, A, Penegar, S, Theodoratou, E, Vaughan-Shaw, P, Campbell, H, Zgaga, L, Hayward, C, Campbell, A, Harris, S, Deary, IJ, Starr, J, Gatcombe, L, Pinna, M, Briggs, S, Martin, L, Jaeger, E, Sharma-Oates, A, East, J, Leedham, S, Arnold, R, Johnstone, E, Wang, H, Kerr, D, Kerr, R, Maughan, T, Kaplan, R, Al-Tassan, N, Palin, K, Hänninen, UA, Cajuso, T, Tanskanen, T, Kondelin, J, Kaasinen, E, Sarin, A-P, Eriksson, JG, Rissanen, H, Knekt, P, Pukkala, E, Jousilahti, P, Salomaa, V, Ripatti, S, Palotie, A, Renkonen-Sinisalo, L, Lepistö, A, Böhm, J, Mecklin, J-P, Buchanan, DD, Win, A-K, Hopper, J, Jenkins, ME, Lindor, NM, Newcomb, PA, Gallinger, S, Duggan, D, Casey, G, Hoffmann, P, Nöthen, MM, Jöckel, K-H, Easton, DF, Pharoah, PDP, Peto, J, Canzian, F, Swerdlow, A, Eeles, RA, Kote-Jarai, Z, Muir, K, Pashayan, N, Consortium, Practical, Harkin, A, Allan, K, McQueen, J, Paul, J, Iveson, T, Saunders, M, Butterbach, K, Chang-Claude, J, Hoffmeister, M, Brenner, H, Kirac, I, Matošević, P, Hofer, P, Brezina, S, Gsur, A, Cheadle, JP, Aaltonen, LA, Tomlinson, I, Houlston, RS, Dunlop, MG, Law, Philip J [0000-0001-9663-4611], Timofeeva, Maria [0000-0002-2503-4253], Fernandez-Rozadilla, Ceres [0000-0001-7330-4804], Broderick, Peter [0000-0002-8348-5829], Studd, James [0000-0002-7157-754X], Farrington, Susan [0000-0001-5955-7389], Svinti, Victoria [0000-0001-9926-0416], Sud, Amit [0000-0002-6133-0164], Hayward, Caroline [0000-0002-9405-9550], Campbell, Archie [0000-0003-0198-5078], Martin, Lynn [0000-0003-3962-389X], East, James [0000-0001-8035-3700], Kaplan, Richard [0000-0002-0189-8348], Al-Tassan, Nada [0000-0001-9076-0334], Palin, Kimmo [0000-0002-4621-6128], Salomaa, Veikko [0000-0001-7563-5324], Buchanan, Daniel D [0000-0003-2225-6675], Win, Aung-Ko [0000-0002-2794-5261], Jenkins, Mark E [0000-0002-8964-6160], Easton, Douglas F [0000-0003-2444-3247], Pharoah, Paul DP [0000-0001-8494-732X], Eeles, Rosalind A [0000-0002-3698-6241], Muir, Kenneth [0000-0001-6429-988X], Pashayan, Nora [0000-0003-0843-2468], Harkin, Andrea [0000-0002-8831-7381], Paul, James [0000-0001-7367-5816], Hofer, Philipp [0000-0003-2550-6019], Brezina, Stefanie [0000-0001-5238-6900], Cheadle, Jeremy P [0000-0001-9453-8458], Tomlinson, Ian [0000-0003-3037-1470], Houlston, Richard S [0000-0002-5268-0242], and Apollo - University of Cambridge Repository
Subjects: Male, Science, Inheritance Patterns, cancer genetics, Datasets as Topic, colorectal cancer, Genome-wide association studies, Polymorphism, Single Nucleotide, Article, White People, Asian People, Risk Factors, Cancer genomics, Humans, Genetic Predisposition to Disease, lcsh:Science, Cancer genetics, neoplasms, cancer genomics, genomiikka, Middle Aged, Colorectal cancer, digestive system diseases, peräsuolisyöpä, syöpägeenit, Genetic Loci, Case-Control Studies, genome-wide association studies, lcsh:Q, syöpätaudit, Female, Colorectal Neoplasms, Genome-Wide Association Study
Abstract: Colorectal cancer (CRC) is a leading cause of cancer-related death worldwide, and has a strong heritable basis. We report a genome-wide association analysis of 34,627 CRC cases and 71,379 controls of European ancestry that identifies SNPs at 31 new CRC risk loci. We also identify eight independent risk SNPs at the new and previously reported European CRC loci, and a further nine CRC SNPs at loci previously only identified in Asian populations. We use in situ promoter capture Hi-C (CHi-C), gene expression, and in silico annotation methods to identify likely target genes of CRC SNPs. Whilst these new SNP associations implicate target genes that are enriched for known CRC pathways such as Wnt and BMP, they also highlight novel pathways with no prior links to colorectal tumourigenesis. These findings provide further insight into CRC susceptibility and enhance the prospects of applying genetic risk scores to personalised screening and prevention., In colorectal cancer (CRC), finding loci associated with risk may give insight into disease aetiology. Here, the authors report a genome-wide association analysis in Europeans of 34,627 CRC cases and 71,379 controls, and find 31 new risk loci and 17 new risk SNPs at previously reported loci.
Published: 2019

3. Publisher Correction:Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals

Author: Surendran, P, Feofanova, EV, Lahrouchi, N, Ntalla, I, Karthikeyan, S, Cook, J, Chen, L, Mifsud, B, Yao, C, Kraja, AT, Cartwright, JH, Hellwege, JN, Giri, A, Tragante, V, Thorleifsson, G, Liu, DJ, Prins, BP, Stewart, ID, Cabrera, CP, Eales, JM, Akbarov, A, Auer, PL, Bielak, LF, Bis, JC, Braithwaite, VS, Brody, JA, Daw, EW, Warren, HR, Drenos, F, Nielsen, SF, Faul, JD, Fauman, EB, Fava, C, Ferreira, T, Foley, CN, Franceschini, N, Gao, H, Giannakopoulou, O, Giulianini, F, Gudbjartsson, DF, Guo, X, Harris, SE, Havulinna, AS, Helgadottir, A, Huffman, JE, Hwang, S-J, Kanoni, S, Kontto, J, Larson, MG, Li-Gao, R, Lindstrom, J, Lotta, LA, Lu, Y, Luan, J, Mahajan, A, Malerba, G, Masca, NGD, Mei, H, Menni, C, Mook-Kanamori, DO, Mosen-Ansorena, D, Muller-Nurasyid, M, Pare, G, Paul, DS, Perola, M, Poveda, A, Rauramaa, R, Richard, M, Richardson, TG, Sepulveda, N, Sim, X, Smith, AV, Smith, JA, Staley, JR, Stanakova, A, Sulem, P, Theriault, S, Thorsteinsdottir, U, Trompet, S, Varga, TV, Velez Edwards, DR, Veronesi, G, Weiss, S, Willems, SM, Yao, J, Young, R, Yu, B, Zhang, W, Zhao, J-H, Zhao, W, Evangelou, E, Aeschbacher, S, Asllanaj, E, Blankenberg, S, Bonnycastle, LL, Bork-Jensen, J, Brandslund, I, Braund, PS, Burgess, S, Cho, K, Christensen, C, Connell, J, De Mutsert, R, Dominiczak, AF, Dorr, M, Eiriksdottir, G, Farmaki, A-E, Gaziano, JM, Grarup, N, Grove, ML, Hallmans, G, Hansen, T, Have, CT, Heiss, G, Jorgensen, ME, Jousilahti, P, Kajantie, E, Kamat, M, Karajamaki, A, Karpe, F, Koistinen, HA, Kovesdy, CP, Kuulasmaa, K, Laatikainen, I, Lannfelt, L, Lee, I-T, Lee, W-J, Linneberg, A, Martin, LW, Moitry, M, Nadkarni, G, Neville, MJ, Palmer, CNA, Papanicolaou, GJ, Pedersen, O, Peters, J, Poulter, N, Rasheed, A, Rasmussen, KL, Rayner, NW, Magi, R, Renstrom, F, Rettig, R, Rossouw, J, Schreiner, PJ, Sever, PS, Sigurdsson, EL, Skaaby, T, Sun, YV, Sundstrom, J, Thorgeirsson, G, Esko, T, Trabetti, E, Tsao, PS, Tuomi, T, Turner, ST, Tzoulaki, I, Vaartjes, I, Vergnaud, A-C, Willer, CJ, Wilson, PWF, Witte, DR, Yonova-Doing, E, Zhang, H, Aliya, N, Almgren, P, Amouyel, P, Asselbergs, FW, Barnes, MR, Blakemore, AI, Boehnke, M, Bots, ML, Bottinger, EP, Buring, JE, Chambers, JC, Chen, Y-DI, Chowdhury, R, Conen, D, Correa, A, Davey Smith, G, Boer, RAD, Deary, IJ, Dedoussis, G, Deloukas, P, Di Angelantonio, E, Elliott, P, Felix, SB, Ferrieres, J, Ford, I, Fornage, M, Franks, PW, Franks, S, Frossard, P, Gambaro, G, Gaunt, TR, Groop, L, Gudnason, V, Harris, TB, Hayward, C, Hennig, BJ, Herzig, K-H, Ingelsson, E, Tuomilehto, J, Jarvelin, M-R, Jukema, JW, Kardia, SLR, Kee, F, Kooner, JS, Kooperberg, C, Launer, LJ, Lind, L, Loos, RJF, Majumder, AAS, Laakso, M, McCarthy, MI, Melander, O, Mohlke, KL, Murray, AD, Nordestgaard, BG, Orho-Melander, M, Packard, CJ, Padmanabhan, S, Palmas, W, Polasek, O, Porteous, DJ, Prentice, AM, Province, MA, Relton, CL, Rice, K, Ridker, PM, Rolandsson, O, Rosendaal, FR, Rotter, JI, Rudan, I, Salomaa, V, Samani, NJ, Sattar, N, Sheu, WH-H, Smith, BH, Soranzo, N, Spector, TD, Starr, JM, Sebert, S, Taylor, KD, Lakka, TA, Timpson, NJ, Tobin, MD, Van der Harst, P, Van der Meer, P, Ramachandran, VS, Verweij, N, Virtamo, J, Volker, U, Weir, DR, Zeggini, E, Charchar, FJ, Wareham, NJ, Langenberg, C, Tomaszewski, M, Butterworth, AS, Caulfield, MJ, Danesh, J, Edwards, TL, Holm, H, Hung, AM, Lindgren, CM, Liu, C, Manning, AK, Morris, AP, Morrison, AC, O'Donnell, CJ, Psaty, BM, Saleheen, D, Stefansson, K, Boerwinkle, E, Chasman, DI, Levy, D, Newton-Cheh, C, Munroe, PB, Howson, JMM, and United Kingdom Research and Innovation
Subjects: Genetics & Heredity, Understanding Society Scientific Group, Science & Technology, business.industry, Published Erratum, Million Veteran Program, MEDLINE, Computational biology, 06 Biological Sciences, Biology, Blood pressure, Text mining, Meta-analysis, EPIC-InterAct, Genetics, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, business, Life Sciences & Biomedicine, EPIC-CVD, 11 Medical and Health Sciences, LifeLines Cohort Study, Developmental Biology
Abstract: In the version of this article originally published, the e-mail address of corresponding author Patricia B. Munroe was incorrect. The error has been corrected in the HTML and PDF versions of the article.
Published: 2021
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4. Genome-Wide Association Study of Circulating Interleukin 6 Levels Identifies Novel Loci

Author: Ahluwalia, TS, Prins, BP, Abdollahi, M, Armstrong, NJ, Aslibekyan, S, Bain, L, Jefferis, B, Baumert, J, Beekman, M, Ben-Shlomo, Y, Bis, JC, Mitchell, BD, de Geus, E, Delgado, GE, Marek, D, Eriksson, J, Kajantie, E, Kanoni, S, Kemp, JP, Lu, C, Marioni, RE, McLachlan, S, Milaneschi, Y, Nolte, IM, Petrelis, AM, Porcu, E, Sabater-Lleal, M, Naderi, E, Seppälä, I, Shah, T, Singhal, G, Standl, M, Teumer, A, Thalamuthu, A, Thiering, E, Trompet, S, Ballantyne, CM, Benjamin, EJ, Casas, JP, Toben, C, Dedoussis, G, Deelen, J, Durda, P, Engmann, J, Feitosa, MF, Grallert, H, Hammarstedt, A, Harris, SE, Homuth, G, Hottenga, J-J, Jalkanen, S, Jamshidi, Y, Jawahar, MC, Jess, T, Kivimaki, M, Kleber, ME, Lahti, J, Liu, Y, Marques-Vidal, P, Mellström, D, Mooijaart, SP, Müller-Nurasyid, M, Penninx, B, Revez, JA, Rossing, P, Räikkönen, K, Sattar, N, Scharnagl, H, Sennblad, B, Silveira, A, Pourcain, BS, Timpson, NJ, Trollor, J, CHARGE Inflammation Working Group, van Dongen, J, Van Heemst, D, Visvikis-Siest, S, Vollenweider, P, Völker, U, Waldenberger, M, Willemsen, G, Zabaneh, D, Morris, RW, Arnett, DK, Baune, BT, Boomsma, DI, Chang, Y-PC, Deary, IJ, Deloukas, P, Eriksson, JG, Evans, DM, Ferreira, MA, Gaunt, T, Gudnason, V, Hamsten, A, Heinrich, J, Hingorani, A, Humphries, SE, Jukema, JW, Koeing, W, Kumari, M, Kutalik, Z, Lawlor, DA, Lehtimäki, T, März, W, Mather, K, Naitza, S, Nauck, M, Ohlsson, C, Price, JF, Raitakari, O, Rice, K, Sachdev, PS, Slagboom, E, Sørensen, TIA, Spector, T, Stacey, D, Stathopoulou, MG, Tanaka, T, Wannamethee, SG, Whincup, P, Rotter, JI, Dehghan, A, Boerwinkle, E, Psaty, BM, Snieder, H, and Alizadeh, BZ
Abstract: Interleukin-6 (IL-6) is a multifunctional cytokine with both pro- and anti-inflammatory properties with a heritability estimate of up to 61%. The circulating levels of IL-6 in blood have been associated with an increased risk of complex disease pathogenesis. We conducted a two-staged, discovery, and replication meta genome-wide association study (GWAS) of circulating serum IL-6 levels comprising up to 67 428 (ndiscovery = 52 654 and nreplication = 14 774) individuals of European ancestry. The inverse variance fixed-effects based discovery meta-analysis, followed by replication led to the identification of two independent loci, IL1F10/IL1RN rs6734238 on Chromosome (Chr) 2q14, (pcombined = 1.8 × 10-11), HLA-DRB1/DRB5 rs660895 on Chr6p21 (pcombined = 1.5 × 10-10) in the combined meta-analyses of all samples. We also replicated the IL6R rs4537545 locus on Chr1q21 (pcombined = 1.2 × 10-122). Our study identifies novel loci for circulating IL-6 levels uncovering new immunological and inflammatory pathways that may influence IL-6 pathobiology.
Published: 2021

5. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci

Author: Erzurumluoglu, AM, Liu, M, Jackson, VE, Barnes, DR, Datta, G, Melbourne, CA, Young, R, Batini, C, Surendran, P, Jiang, T, Adnan, SD, Afaq, S, Agrawal, A, Altmaier, E, Antoniou, AC, Asselbergs, FW, Baumbach, C, Beirut, L, Bertelsen, S, Boehnke, M, Bots, ML, Brazel, DM, Chambers, JC, Chang-Claude, J, Chen, C, Corley, J, Chou, Y-L, David, SP, de Boer, RA, de Leeuw, CA, Dennis, JG, Dominiczak, AF, Dunning, AM, Easton, DF, Eaton, C, Elliott, P, Evangelou, E, Faul, JD, Foroud, T, Goate, A, Gong, J, Grabe, HJ, Haessler, J, Haiman, C, Hallmans, G, Hammerschlag, AR, Harris, SE, Hattersley, A, Heath, A, Hsu, C, Iacono, WG, Kanoni, S, Kapoor, M, Kaprio, J, Kardia, SL, Karpe, F, Kontto, J, Kooner, JS, Kooperberg, C, Kuulasmaa, K, Laakso, M, Lai, D, Langenberg, C, Le, N, Lettre, G, Loukola, A, Luan, J, Madden, PAF, Mangino, M, Marioni, RE, Marouli, E, Marten, J, Martin, NG, McGue, M, Michailidou, K, Mihailov, E, Moayyeri, A, Moitry, M, Müller-Nurasyid, M, Naheed, A, Nauck, M, Neville, MJ, Nielsen, SF, North, K, Perola, M, Pharoah, PDP, Pistis, G, Polderman, TJ, Posthuma, D, Poulter, N, Qaiser, B, Rasheed, A, Reiner, A, Renström, F, Rice, J, Rohde, R, Rolandsson, O, Samani, NJ, Samuel, M, Schlessinger, D, Scholte, SH, Scott, RA, Sever, P, Shao, Y, Shrine, N, Smith, JA, Starr, JM, Stirrups, K, Stram, D, Stringham, HM, Tachmazidou, I, Tardif, J-C, Thompson, DJ, Tindle, HA, Tragante, V, Trompet, S, Turcot, V, Tyrrell, J, Vaartjes, I, van der Leij, AR, van der Meer, P, Varga, TV, Verweij, N, Völzke, H, Wareham, NJ, Warren, HR, Weir, DR, Weiss, S, Wetherill, L, Yaghootkar, H, Yavas, E, Jiang, Y, Chen, F, Zhan, X, Zhang, W, Zhao, W, Zhou, K, Amouyel, P, Blankenberg, S, Caulfield, MJ, Chowdhury, R, Cucca, F, Deary, IJ, Deloukas, P, Di Angelantonio, E, Ferrario, M, Ferrières, J, Franks, PW, Frayling, TM, Frossard, P, Hall, IP, Hayward, C, Jansson, J-H, Jukema, JW, Kee, F, Männistö, S, Metspalu, A, Munroe, PB, Nordestgaard, BG, Palmer, CNA, Salomaa, V, Sattar, N, Spector, T, Strachan, DP, Understanding Society Scientific Group, EPIC-CVD, GSCAN, Consortium for Genetics of Smoking Behaviour, CHD Exome+ Consortium, van der Harst, P, Zeggini, E, Saleheen, D, Butterworth, AS, Wain, LV, Abecasis, GR, Danesh, J, Tobin, MD, Vrieze, S, Liu, DJ, and Howson, JMM
Abstract: Smoking is a major heritable and modifiable risk factor for many diseases, including cancer, common respiratory disorders and cardiovascular diseases. Fourteen genetic loci have previously been associated with smoking behaviour-related traits. We tested up to 235,116 single nucleotide variants (SNVs) on the exome-array for association with smoking initiation, cigarettes per day, pack-years, and smoking cessation in a fixed effects meta-analysis of up to 61 studies (up to 346,813 participants). In a subset of 112,811 participants, a further one million SNVs were also genotyped and tested for association with the four smoking behaviour traits. SNV-trait associations with P
Published: 2020

6. Variants associated with HHIP expression have sex-differential effects on lung function [version 1; peer review: 2 approved]

Author: Fawcett, KA, Obeidat, M, Melbourne, C, Shrine, N, Guyatt, AL, John, C, Luan, J, Richmond, A, Moksnes, MR, Granell, R, Weiss, S, Imboden, M, May-Wilson, S, Hysi, P, Boutin, TS, Portas, L, Flexeder, C, Harris, SE, Wang, CA, Lyytikäinen, LP, Palviainen, T, Foong, RE, Keidel, D, Minelli, C, Langenberg, C, Bossé, Y, Van den Berge, M, Sin, DD, Hao, K, Campbell, A, Porteous, D, Padmanabhan, S, Smith, BH, Evans, DM, Ring, S, Langhammer, A, Hveem, K, Willer, C, Ewert, R, Stubbe, B, Pirastu, N, Klaric, L, Joshi, PK, Patasova, K, Massimo, M, Polasek, O, Starr, JM, Karrasch, S, Strauch, K, Meitinger, T, Rudan, I, Rantanen, T., Pietiläinen, K, Kähönen, M, Raitakari, OT, Hall, GL, Sly, PD, Pennell, CE, Kaprio, J, Lehtimäki, T, Vitart, V, Deary, IJ, Jarvis, D, Wilson, JF, Spector, T, Probst-Hensch, N, Wareham, NJ, Völzke, H, Henderson, J, Strachan, DP, Brumpton, BM, Hayward, C, Hall, IP, Tobin, MD, and Wain, LV
Subjects: genome-wide interaction study, HHIP, lcsh:R, lcsh:Medicine, lung function, genotyyppi, sukupuoli, hengityselimet, toimintakyky, expression, sex, lcsh:Q, geeniekspressio, geneettiset tekijät, lcsh:Science, keuhkot
Abstract: Background: Lung function is highly heritable and differs between the sexes throughout life. However, little is known about sex-differential genetic effects on lung function. We aimed to conduct the first genome-wide genotype-by-sex interaction study on lung function to identify genetic effects that differ between males and females. Methods: We tested for interactions between 7,745,864 variants and sex on spirometry-based measures of lung function in UK Biobank (N=303,612), and sought replication in 75,696 independent individuals from the SpiroMeta consortium. Results: Five independent single-nucleotide polymorphisms (SNPs) showed genome-wide significant (P
Published: 2020

7. Meta-analysis of epigenome-wide association studies of cognitive abilities

Author: Marioni, RE, McRae, AF, Bressler, J, Colicino, E, Hannon, E, Li, S, Prada, D, Smith, JA, Trevisi, L, Tsai, P-C, Vojinovic, D, Simino, J, Levy, D, Liu, C, Mendelson, M, Satizabal, CL, Yang, Q, Jhun, MA, Kardia, SLR, Zhao, W, Bandinelli, S, Ferrucci, L, Hernandez, DG, Singleton, AB, Harris, SE, Starr, JM, Kiel, DP, McLean, RR, Just, AC, Schwartz, J, Spiro, A, Vokonas, P, Amin, N, Ikram, MA, Uitterlinden, AG, Van Meurs, JBJ, Spector, TD, Steves, C, Baccarelli, AA, Bell, JT, Van Duijn, CM, Fornage, M, Hsu, Y-H, Mill, J, Mosley, TH, Seshadri, S, Deary, IJ, Epidemiology, Gastroenterology & Hepatology, Neurology, Radiology & Nuclear Medicine, and Internal Medicine
Subjects: Adult, Aged, 80 and over, Male, Genomics, DNA Methylation, Middle Aged, Epigenesis, Genetic, Cohort Studies, Cognition, Humans, CpG Islands, Female, Immediate Communication, Aged, Genome-Wide Association Study
Abstract: Cognitive functions are important correlates of health outcomes across the life-course. Individual differences in cognitive functions are partly heritable. Epigenetic modifications, such as DNA methylation, are susceptible to both genetic and environmental factors and may provide insights into individual differences in cognitive functions. Epigenome-wide meta-analyses for blood-based DNA methylation levels at ~420,000 CpG sites were performed for seven measures of cognitive functioning using data from 11 cohorts. CpGs that passed a Bonferroni correction, adjusting for the number of CpGs and cognitive tests, were assessed for: longitudinal change; being under genetic control (methylation QTLs); and associations with brain health (structural MRI), brain methylation and Alzheimer's disease pathology. Across the seven measures of cognitive functioning (meta-analysis n range: 2557-6809), there were epigenome-wide significant (P
Published: 2018
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8. Seven-year follow-up of blood pressure in the Healthy Old People in Edinburgh (HOPE) cohort

Author: Starr, JM, Inch, S, Cross, S, and Deary, IJ
Published: 2000
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9. Commentary: Birthweight and childhood cognition: the use of twin studies

Author: Shenkin, SD, Deary, IJ, and Batty, GD
Published: 2011
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10. Brain age predicts mortality

Author: Cole, JH, Ritchie, SJ, Bastin, ME, Valdes Hernandez, MC, Munoz Maniega, S, Royle, N, Corely, J, Pattie, A, Harris, SE, Zhang, Q, Wray, N, Redmond, P, Marioni, RE, Starr, JM, Cox, SR, Wardlaw, JM, Sharp, DJ, Deary, IJ, Commission of the European Communities, and National Institute for Health Research
Subjects: Psychiatry, Adult, Aged, 80 and over, Epigenomics, Male, Aging, Brain, Neuroimaging, 11 Medical And Health Sciences, 06 Biological Sciences, Middle Aged, Epigenesis, Genetic, 17 Psychology And Cognitive Sciences, Machine Learning, Cognition, Journal Article, Humans, Original Article, Female, Longitudinal Studies, Biomarkers, Aged
Abstract: Age-associated disease and disability are placing a growing burden on society. However, ageing does not affect people uniformly. Hence, markers of the underlying biological ageing process are needed to help identify people at increased risk of age-associated physical and cognitive impairments and ultimately, death. Here, we present such a biomarker, 'brain-predicted age', derived using structural neuroimaging. Brain-predicted age was calculated using machine-learning analysis, trained on neuroimaging data from a large healthy reference sample (N=2001), then tested in the Lothian Birth Cohort 1936 (N=669), to determine relationships with age-associated functional measures and mortality. Having a brain-predicted age indicative of an older-appearing brain was associated with: weaker grip strength, poorer lung function, slower walking speed, lower fluid intelligence, higher allostatic load and increased mortality risk. Furthermore, while combining brain-predicted age with grey matter and cerebrospinal fluid volumes (themselves strong predictors) not did improve mortality risk prediction, the combination of brain-predicted age and DNA-methylation-predicted age did. This indicates that neuroimaging and epigenetics measures of ageing can provide complementary data regarding health outcomes. Our study introduces a clinically-relevant neuroimaging ageing biomarker and demonstrates that combining distinct measurements of biological ageing further helps to determine risk of age-related deterioration and death.Molecular Psychiatry advance online publication, 25 April 2017; doi:10.1038/mp.2017.62.
Published: 2017
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11. Blood pressure and cognitive decline in healthy old people

Author: Starr, JM, Deary, IJ, Inch, S, Cross, S, and MacLennan, WJ
Published: 1997
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12. Submissiveness and protection from coronary heart disease in the general population: Edinburgh Artery Study

Author: Whiteman, MC, Deary, IJ, Lee, AJ, and Fowkes, Fgr
Published: 1997

13. Genome-wide association study of 23,500 individuals identifies 7 loci associated with brain ventricular volume

Author: Vojinovic, D, Adams, HH, Jian, X, Yang, Q, Smith, AV, Bis, JC, Teumer, A, Scholz, M, Armstrong, NJ, Hofer, E, Saba, Y, Luciano, M, Bernard, M, Trompet, S, Yang, J, Gillespie, NA, van der Lee, SJ, Neumann, A, Ahmad, S, Andreassen, OA, Ames, D, Amin, N, Arfanakis, K, Bastin, ME, Becker, DM, Beiser, AS, Beyer, F, Brodaty, H, Bryan, RN, Bülow, R, Dale, AM, De Jager, PL, Deary, IJ, DeCarli, C, Fleischman, DA, Gottesman, RF, van der Grond, J, Gudnason, V, Harris, TB, Homuth, G, Knopman, DS, Kwok, JB, Lewis, CE, Li, S, Loeffler, M, Lopez, OL, Maillard, P, El Marroun, H, Mather, KA, Mosley, TH, Muetzel, RL, Nauck, M, Nyquist, PA, Panizzon, MS, Pausova, Z, Psaty, BM, Rice, K, Rotter, JI, Royle, N, Satizabal, CL, Schmidt, R, Schofield, PR, Schreiner, PJ, Sidney, S, Stott, DJ, Thalamuthu, A, Uitterlinden, AG, and Valdés Hernández, MC
Abstract: © 2018, The Author(s). The volume of the lateral ventricles (LV) increases with age and their abnormal enlargement is a key feature of several neurological and psychiatric diseases. Although lateral ventricular volume is heritable, a comprehensive investigation of its genetic determinants is lacking. In this meta-analysis of genome-wide association studies of 23,533 healthy middle-aged to elderly individuals from 26 population-based cohorts, we identify 7 genetic loci associated with LV volume. These loci map to chromosomes 3q28, 7p22.3, 10p12.31, 11q23.1, 12q23.3, 16q24.2, and 22q13.1 and implicate pathways related to tau pathology, S1P signaling, and cytoskeleton organization. We also report a significant genetic overlap between the thalamus and LV volumes (?genetic = -0.59, p-value = 3.14 × 10-6), suggesting that these brain structures may share a common biology. These genetic associations of LV volume provide insights into brain morphology.
Published: 2018
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14. Publisher Correction: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits (vol 50, pg 1412, 2018)

Author: Evangelou, E, Warren, HR, Mosen-Ansorena, D, Mifsud, B, Pazoki, R, Gao, H, Ntritsos, G, Dimou, N, Cabrera, CP, Karaman, I, Fu, LN, Evangelou, M, Witkowska, K, Tzanis, E, Hellwege, JN, Giri, A, Edwards, DRV, Sun, YV, Cho, K, Gaziano, JM, Wilson, PWF, Tsao, PS, Kovesdy, CP, Esko, T, Magi, R, Milani, L, Almgren, P, Boutin, T, Debette, S, Ding, J, Giulianini, F, Holliday, EG, Jackson, AU, Li-Gao, R, Lin, W-Y, Luan, J, Mangino, M, Oldmeadow, C, Prins, BP, Qian, Y, Sargurupremraj, M, Shah, N, Surendran, P, Theriault, S, Verweij, N, Willems, SM, Zhao, J-H, Amouyel, P, Connell, J, De Mutsert, R, Doney, ASF, Farrall, M, Menni, C, Morris, AD, Noordam, R, Pare, G, Poulter, NR, Shields, DC, Stanton, A, Thom, S, Abecasis, G, Amin, N, Arking, DE, Ayers, KL, Barbieri, CM, Batini, C, Bis, JC, Blake, T, Bochud, M, Boehnke, M, Boerwinkle, E, Boomsma, DI, Bottinger, EP, Braund, PS, Brumat, M, Campbell, A, Campbell, H, Chakravarti, A, Chambers, JC, Chauhan, G, Ciullo, M, Cocca, M, Collins, F, Cordell, HJ, Davies, G, De Borst, MH, De Geus, EJ, Deary, IJ, Deelen, J, Del Greco, FM, Demirkale, CY, Dorr, M, Ehret, GB, Elosua, R, Enroth, S, Erzurumluoglu, AM, Ferreira, T, Franberg, M, Franco, OH, Gandin, I, Gasparini, P, Giedraitis, V, Gieger, C, Girotto, G, Goel, A, Gow, AJ, Gudnason, V, Guo, X, Gyllensten, U, Hamsten, A, Harris, TB, Harris, SE, Hartman, CA, Havulinna, AS, Hicks, AA, Hofer, E, Hofman, A, Hottenga, J-J, Huffman, JE, Hwang, S-J, Ingelsson, E, James, A, Jansen, R, Jarvelin, M-R, Joehanes, R, Johansson, A, Johnson, AD, Joshi, PK, Jousilahti, P, Jukema, JW, Jula, A, Kahonen, M, Kathiresan, S, Keavney, BD, Khaw, K-T, Knekt, P, Knight, J, Kolcic, I, Kooner, JS, Koskinen, S, Kristiansson, K, Kutalik, Z, Laan, M, Larson, M, Launer, LJ, Lehne, B, Lehtimaki, T, Liewald, DCM, Lin, L, Lind, L, Lindgren, CM, Liu, Y, Loos, RJF, Lopez, LM, Lu, Y, Lyytikainen, L-P, Mahajan, A, Mamasoula, C, Marrugat, J, Marten, J, Milaneschi, Y, Morgan, A, Morris, AP, Morrison, AC, Munson, PJ, Nalls, MA, Nandakumar, P, Nelson, CP, Niiranen, T, Nolte, IM, Nutile, T, Oldehinkel, AJ, Oostra, BA, O'Reilly, PF, Org, E, Padmanabhan, S, Palmas, W, Palotie, A, Pattie, A, Penninx, BWJH, Perola, M, Peters, A, Polasek, O, Pramstaller, PP, Quang, TN, Raitakari, OT, Ren, M, Rettig, R, Rice, K, Ridker, PM, Ried, JS, Riese, H, Ripatti, S, Robino, A, Rose, LM, Rotter, JI, Rudan, I, Ruggiero, D, Saba, Y, Sala, CF, Salomaa, V, Samani, NJ, Sarin, A-P, Schmidt, R, Schmidt, H, Shrine, N, Siscovick, D, Smith, AV, Snieder, H, Sober, S, Sorice, R, Starr, JM, Stott, DJ, Strachan, DP, Strawbridge, RJ, Sundstrom, J, Swertz, MA, Taylor, KD, Teumer, A, Tobin, MD, Tomaszewski, M, Toniolo, D, Traglia, M, Trompet, S, Tuomilehto, J, Tzourio, C, Uitterlinden, AG, Vaez, A, Van der Most, PJ, Van Duijn, CM, Vergnaud, A-C, Verwoert, GC, Vitart, V, Volker, U, Vollenweider, P, Vuckovic, D, Watkins, H, Wild, SH, Willemsen, G, Wilson, JF, Wright, AF, Yao, J, Zemunik, T, Zhang, W, Attia, JR, Butterworth, AS, Chasman, DI, Conen, D, Cucca, F, Danesh, J, Hayward, C, Howson, JMM, Laakso, M, Lakatta, EG, Langenberg, C, Melander, O, Mook-Kanamori, DO, Palmer, CNA, Risch, L, Scott, RA, Scott, RJ, Sever, P, Spector, TD, Van der Harst, P, Wareham, NJ, Zeggini, E, Levy, D, Munroe, PB, Newton-Cheh, C, Brown, MJ, Metspalu, A, Hung, AM, O'Donnell, CJ, Edwards, TL, Psaty, BM, Tzoulaki, I, Barnes, MR, Wain, LV, Elliott, P, and Caulfield, MJ
Subjects: Genetics & Heredity, Science & Technology, Million Veteran Program, 06 Biological Sciences, Life Sciences & Biomedicine, 11 Medical and Health Sciences, Developmental Biology
Abstract: Correction to: Nature Genetics https://doi.org/10.1038/s41588-018-0205-x, published online 17 September 2018.
Published: 2018

15. Genome-Wide Association Study Meta-Analysis of the Alcohol Use Disorders Identification Test (AUDIT) in Two Population-Based Cohorts

Author: Sanchez-Roige, S, Palmer, AA, Fontanillas, P, Elson, SL, 23andMe Research Team, Substance Use Disorder Working Group of the Psychiatric Genomics Consortium, Adams, MJ, Howard, DM, Edenberg, HJ, Davies, G, Crist, RC, Deary, IJ, McIntosh, AM, and Clarke, T-K
Subjects: Substance Use Disorder Working Group of the Psychiatric Genomics Consortium, 23andMe Research Team
Abstract: OBJECTIVE::Alcohol use disorders are common conditions that have enormous social and economic consequences. Genome-wide association analyses were performed to identify genetic variants associated with a proxy measure of alcohol consumption and alcohol misuse and to explore the shared genetic basis between these measures and other substance use, psychiatric, and behavioral traits. METHOD::This study used quantitative measures from the Alcohol Use Disorders Identification Test (AUDIT) from two population-based cohorts of European ancestry (UK Biobank [N=121,604] and 23andMe [N=20,328]) and performed a genome-wide association study (GWAS) meta-analysis. Two additional GWAS analyses were performed, a GWAS for AUDIT scores on items 1-3, which focus on consumption (AUDIT-C), and for scores on items 4-10, which focus on the problematic consequences of drinking (AUDIT-P). RESULTS::The GWAS meta-analysis of AUDIT total score identified 10 associated risk loci. Novel associations localized to genes including JCAD and SLC39A13; this study also replicated previously identified signals in the genes ADH1B, ADH1C, KLB, and GCKR. The dimensions of AUDIT showed positive genetic correlations with alcohol consumption (rg=0.76-0.92) and DSM-IV alcohol dependence (rg=0.33-0.63). AUDIT-P and AUDIT-C scores showed significantly different patterns of association across a number of traits, including psychiatric disorders. AUDIT-P score was significantly positively genetically correlated with schizophrenia (rg=0.22), major depressive disorder (rg=0.26), and attention deficit hyperactivity disorder (rg=0.23), whereas AUDIT-C score was significantly negatively genetically correlated with major depressive disorder (rg=-0.24) and ADHD (rg=-0.10). This study also used the AUDIT data in the UK Biobank to identify thresholds for dichotomizing AUDIT total score that optimize genetic correlations with DSM-IV alcohol dependence. Coding individuals with AUDIT total scores ≤4 as control subjects and those with scores ≥12 as case subjects produced a significant high genetic correlation with DSM-IV alcohol dependence (rg=0.82) while retaining most subjects. CONCLUSIONS::AUDIT scores ascertained in population-based cohorts can be used to explore the genetic basis of both alcohol consumption and alcohol use disorders.
Published: 2018
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16. Genetic risk for neurodegenerative disorders, and its overlap with cognitive ability and physical function

Author: Hagenaars, Sp, Radaković, R, Crockford, C, Fawns-Ritchie, C, Gale, Cr, Deary, Ij, J B, J Kwok, Dobson-Stone, C, R Schofield, P, Gmhalliday, R Hodges, J, Piguet, O, Bartley, L, Thompson, E, Hernaândez, I, Ruiz, A, Mboada, Borroni, B, Padovani, A, Cruchaga, C, J Cairns, N, Benussi, L, Binetti, G, Ghidoni, R, Forloni, G, Albani, D, Galimberti, D, Fenoglio, C, Serpente, M, Scarpini, E, Clarimoân, J, Lleoâ, A, Blesa, R, Mlandqvist, Waldoè, Nilsson, K, Nilsson, C, I R, A Mackenzie, G-Y, R Hsiung, Dma, Mann, Grafman, J, Cmmorris, Attems, J, D Griffiths, T, G McKeith, I, J Thomas, A, Pietrini, P, D Huey, E, Emwassermann, Baborie, A, Jaros, E, Tierney, Mc, Pastor, P, Razquin, C, Ortega-Cubero, S, Alonso, E, Perneczky, R, Diehl-Schmid, J, Alexopoulos, P, Kurz, A, Rainero, I, Rubino, E, Pinessi, L, Rogaeva, E, P St George-Hyslop, Rossi, G, Tagliavini, F, Giaccone, G, B Rowe, J, Cmschlachetzki, J, Uphill, J, Collinge, J, Mead, S, Danek, A, Vmvan, Deerlin, Mgrossman, Q Trojanowski, J, J van der Zee, C Van Broeckhoven, F Cappa, S, Leber, I, Hannequin, D, Golfier, V, Mvercelletto, Brice, A, Nacmias, B, Sorbi, S, Bagnoli, S, Piaceri, I, E Nielsen, J, E Hjermind, L, Mriemenschneider, Mmayhaus, Ibach, B, Gasparoni, G, Pichler, S, Wgu, Rossor, Mn, C Fox, N, D Warren, J, Spillantini, Mg, R Morris, H, Rizzu, P, Heutink, P, S Snowden, J, Rollinson, S, Richardson, A, Gerhard, A, C Bruni, A, Maletta, R, Frangipane, F, Cupidi, C, Bernardi, L, Manfossi, Mgallo, Conidi, Me, Smirne, N, Rademakers, R, Baker, M, Dwdickson, R Graff-Radford, N, C Petersen, R, Knopman, D, A Josephs, K, F Boeve, B, E Parisi, J, Wwseeley, L Miller, B, Amkarydas, Rosen, H, C van Swieten, J, E G, P Dopper, Seelaar, H, Y A, L Pijnenburg, Scheltens, P, Logroscino, G, Capozzo, R, Novelli, V, A Puca, A, Franceschi, M, Postiglione, A, Milan, G, Sorrentino, P, Mkristiansen, H-H, Chiang, Graff, C, Pasquier, F, Rollin, A, Deramecourt, V, Lebouvier, T, Kapogiannis, D, Ferrucci, L, Pickering-Brown, S, B Singleton, A, Hardy, J, and Momeni., P
Subjects: Genetics and Molecular Biology (all), Multifactorial Inheritance, Peak Expiratory Flow Rate, Disease, Physical function, Alzheimer's Disease, Biochemistry, Motor Neuron Diseases, 0302 clinical medicine, Cognition, Learning and Memory, Biochemistry, Genetics and Molecular Biology (all), Agricultural and Biological Sciences (all), Forced Expiratory Volume, Medicine and Health Sciences, Amyotrophic lateral sclerosis, Genetic risk, Cognitive Impairment, 0303 health sciences, Cognitive Neurology, Neurodegenerative Diseases, Middle Aged, Mental Status and Dementia Tests, Neurology, Frontotemporal Dementia, Clinical psychology, Frontotemporal dementia, Research Article, Adult, Cognitive Neuroscience, Risk Assessment, 03 medical and health sciences, Memory, Alzheimer Disease, Mental Health and Psychiatry, mental disorders, medicine, Genetics, Humans, Effects of sleep deprivation on cognitive performance, Muscle Strength, Genetic Association Studies, 030304 developmental biology, Aged, business.industry, Amyotrophic Lateral Sclerosis, Biology and Life Sciences, medicine.disease, United Kingdom, Physical Fitness, Genetics of Disease, Cognitive Science, Polygenic risk score, Dementia, business, 030217 neurology & neurosurgery, Neuroscience, Genome-Wide Association Study
Abstract: INTRODUCTIONIt is unclear whether polygenic risk for neurodegenerative disease is associated with cognitive performance and physical health.METHODSThis study tested whether polygenic scores for Alzheimer’s disease (AD), Amyotrophic Lateral Sclerosis (ALS), or frontotemporal dementia (FTD) are associated with cognitive performance and physical health. Group-based analyses were performed to compare associations with cognitive and physical function outcomes in the top and bottom 10% for the three neurodegenerative polygenic risk scores.RESULTSHigher polygenic risk scores for AD, ALS, and FTD were associated with lower cognitive performance. Higher polygenic risk scores for FTD was also associated with increased forced expiratory volume in 1s and peak expiratory flow. A significant group difference was observed on the symbol digit substitution task between individuals with high polygenic risk for FTD and high polygenic risk for ALS.DISCUSSIONOur results suggest overlap between polygenic risk for neurodegenerative disorders, cognitive function and physical health.
Published: 2018

17. Mapping cortical brain asymmetry in 17,141 healthy individuals worldwide via the ENIGMA consortium

Author: Kong, XZ, Mathias, SR, Guadalupe, T, Abé, C, Agartz, I, Akudjedu, TN, Aleman, A, Alhusaini, S, Allen, NB, Ames, D, Andreassen, OA, Vasquez, AA, Armstrong, NJ, Bergo, F, Bastin, ME, Batalla, A, Bauer, J, Baune, BT, Baur-Streubel, R, Biederman, J, Blaine, SK, Boedhoe, P, Bøen, E, Bose, A, Bralten, J, Brandeis, D, Brem, S, Brodaty, H, Yüksel, D, Brooks, SJ, Buitelaar, J, Bürger, C, Bülow, R, Calhoun, V, Calvo, A, Canales-Rodríguez, EJ, Canive, JM, Cannon, DM, Caparelli, EC, Castellanos, FX, Cavalleri, GL, Cendes, F, Chaim-Avancini, TM, Chantiluke, K, Chen, QL, Chen, X, Cheng, Y, Christakou, A, Clark, VP, Coghill, D, Connolly, CG, Conzelmann, A, Córdova-Palomera, A, Cousijn, J, Crow, T, Cubillo, A, Dale, A, Dannlowski, U, De Bruttopilo, SA, De Zeeuw, P, Deary, IJ, Delanty, N, Demeter, DV, Di Martino, A, and Dickie, EW
Abstract: © 2018 National Academy of Sciences. All rights reserved. Hemispheric asymmetry is a cardinal feature of human brain organization. Altered brain asymmetry has also been linked to some cognitive and neuropsychiatric disorders. Here, the ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Consortium presents the largest-ever analysis of cerebral cortical asymmetry and its variability across individuals. Cortical thickness and surface area were assessed in MRI scans of 17,141 healthy individuals from 99 datasets worldwide. Results revealed widespread asymmetries at both hemispheric and regional levels, with a generally thicker cortex but smaller surface area in the left hemisphere relative to the right. Regionally, asymmetries of cortical thickness and/or surface area were found in the inferior frontal gyrus, transverse temporal gyrus, parahippocampal gyrus, and entorhinal cortex. These regions are involved in lateralized functions, including language and visuospatial processing. In addition to population-level asymmetries, variability in brain asymmetry was related to sex, age, and intracranial volume. Interestingly, we did not find significant associations between asymmetries and handedness. Finally, with two independent pedigree datasets (n = 1,443 and 1,113, respectively), we found several asymmetries showing significant, replicable heritability. The structural asymmetries identified and their variabilities and heritability provide a reference resource for future studies on the genetic basis of brain asymmetry and altered laterality in cognitive, neurological, and psychiatric disorders.
Published: 2018
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18. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity (vol 50, pg 26, 2018)

Author: Turcot, V, Lu, Y, Highland, HM, Schurmann, C, Justice, AE, Fine, RS, Bradfield, JP, Esko, T, Giri, A, Graff, M, Guo, X, Hendricks, AE, Karaderi, T, Lempradl, A, Locke, AE, Mahajan, A, Marouli, E, Sivapalaratnam, S, Young, KL, Alfred, T, Feitosa, MF, Masca, NGD, Manning, AK, Medina-Gomez, C, Mudgal, P, Ng, MCY, Reiner, AP, Vedantam, S, Willems, SM, Winkler, TW, Abecasis, G, Aben, KK, Alam, DS, Alharthi, SE, Allison, M, Amouyel, P, Asselbergs, FW, Auer, PL, Balkau, B, Bang, LE, Barroso, I, Bastarache, L, Benn, M, Bergmann, S, Bielak, LF, Bluher, M, Boehnke, M, Boeing, H, Boerwinkle, E, Boger, CA, Bork-Jensen, J, Bots, ML, Bottinger, EP, Bowden, DW, Brandslund, I, Breen, G, Brilliant, MH, Broer, L, Brumat, M, Burt, AA, Butterworth, AS, Campbell, PT, Cappellani, S, Carey, DJ, Catamo, E, Caulfield, MJ, Chambers, JC, Chasman, DI, Chen, Y-DI, Chowdhury, R, Christensen, C, Chu, AY, Cocca, M, Collins, FS, Cook, JP, Corley, J, Galbany, JC, Cox, AJ, Crosslin, DS, Cuellar-Partida, G, D'Eustacchio, A, Danesh, J, Davies, G, Bakker, PIW, Groot, MCH, Mutsert, R, Deary, IJ, Dedoussis, G, Demerath, EW, Heijer, M, Hollander, AI, Ruijter, HM, Dennis, JG, Denny, JC, Di Angelantonio, E, Drenos, F, Du, M, Dube, M-P, Dunning, AM, Easton, DF, Edwards, TL, Ellinghaus, D, Ellinor, PT, Elliott, P, Evangelou, E, Farmaki, A-E, Farooqi, IS, Faul, JD, Fauser, S, Feng, S, Ferrannini, E, Ferrieres, J, Florez, JC, Ford, I, Fornage, M, Franco, OH, Franke, A, Franks, PW, Friedrich, N, Frikke-Schmidt, R, Galesloot, TE, Gan, W, Gandin, I, Gasparini, P, Gibson, J, Giedraitis, V, Gjesing, AP, Gordon-Larsen, P, Gorski, M, Grabe, H-J, Grant, SFA, Grarup, N, Griffiths, HL, Grove, ML, Gudnason, V, Gustafsson, S, Haessler, J, Hakonarson, H, Hammerschlag, AR, Hansen, T, Harris, KM, Harris, TB, Hattersley, AT, Have, CT, Hayward, C, He, L, Heard-Costa, NL, Heath, AC, Heid, IM, Helgeland, O, Hernesniemi, J, Hewitt, AW, Holmen, OL, Hovingh, GK, Howson, JMM, Hu, Y, Huang, PL, Huffman, JE, Ikram, MA, Ingelsson, E, Jackson, AU, Jansson, J-H, Jarvik, GP, Jensen, GB, Jia, Y, Johansson, S, Jorgensen, ME, Jorgensen, T, Jukema, JW, Kahali, B, Kahn, RS, Kahonen, M, Kamstrup, PR, Kanoni, S, Kaprio, J, Karaleftheri, M, Kardia, SLR, Karpe, F, Kathiresan, S, Kee, F, Kiemeney, LA, Kim, E, Kitajima, H, Komulainen, P, Kooner, JS, Kooperberg, C, Korhonen, T, Kovacs, P, Kuivaniemi, H, Kutalik, Z, Kuulasmaa, K, Kuusisto, J, Laakso, M, Lakka, TA, Lamparter, D, Lange, EM, Lange, LA, Langenberg, C, Larson, EB, Lee, NR, Lehtimaki, T, Lewis, CE, Li, H, Li, J, Li-Gao, R, Lin, H, Lin, K-H, Lin, L-A, Lin, X, Lind, L, Lindstrom, J, Linneberg, A, Liu, C-T, Liu, DJ, Liu, Y, Lo, KS, Lophatananon, A, Lotery, AJ, Loukola, A, Luan, J, Lubitz, SA, Lyytikainen, L-P, Mannisto, S, Marenne, G, Mazul, AL, McCarthy, MI, McKean-Cowdin, R, Medland, SE, Meidtner, K, Milani, L, Mistry, V, Mitchell, P, Mohlke, KL, Moilanen, L, Moitry, M, Montgomery, GW, Mook-Kanamori, DO, Moore, C, Mori, TA, Morris, AD, Morris, AP, Mueller-Nurasyid, M, Munroe, PB, Nalls, MA, Narisu, N, Nelson, CP, Neville, M, Nielsen, SF, Nikus, K, Njolstad, PR, Nordestgaard, BG, Nyholt, DR, O'Connel, JR, O'Donoghue, ML, Loohuis, LMO, Ophoff, RA, Owen, KR, Packard, CJ, Padmanabhan, S, Palmer, CNA, Palmer, ND, Pasterkamp, G, Patel, AP, Pattie, A, Pedersen, O, Peissig, PL, Peloso, GM, Pennell, CE, Perola, M, Perry, JA, Perry, JRB, Pers, TH, Person, TN, Peters, A, Petersen, ERB, Peyser, PA, Pirie, A, Polasek, O, Polderman, TJ, Puolijoki, H, Raitakari, OT, Rasheed, A, Rauramaa, R, Reilly, DF, Renstrom, F, Rheinberger, M, Ridker, PM, Rioux, JD, Rivas, MA, Roberts, DJ, Robertson, NR, Robino, A, Rolandsson, O, Rudan, I, Ruth, KS, Saleheen, D, Salomaa, V, Samani, NJ, Sapkota, Y, Sattar, N, Schoen, RE, Schreiner, PJ, Schulze, MB, Scott, RA, Segura-Lepe, MP, Shah, SH, Sheu, WH-H, Sim, X, Slater, AJ, Small, KS, Smith, AV, Southam, L, Spector, TD, Speliotes, EK, Starr, JM, Stefansson, K, Steinthorsdottir, V, Stirrups, KE, Strauch, K, Stringham, HM, Stumvoll, M, Sun, L, Surendran, P, Swift, AJ, Tada, H, Tansey, KE, Tardif, J-C, Taylor, KD, Teumer, A, Thompson, DJ, Thorleifsson, G, Thorsteinsdottir, U, Thuesen, BH, Tonjes, A, Tromp, G, Trompet, S, Tsafantakis, E, Tuomilehto, J, Tybjaerg-Hansen, A, Tyrer, JP, Uher, R, Uitterlinden, AG, Uusitupa, M, Laan, SW, Duijn, CM, Leeuwen, N, van Setten, J, Vanhala, M, Varbo, A, Varga, TV, Varma, R, Edwards, DRV, Vermeulen, SH, Veronesi, G, Vestergaard, H, Vitart, V, Vogt, TF, Volker, U, Vuckovic, D, Wagenknecht, LE, Walker, M, Wallentin, L, Wang, F, Wang, CA, Wang, S, Wang, Y, Ware, EB, Wareham, NJ, Warren, HR, Waterworth, DM, Wessel, J, White, HD, Willer, CJ, Wilson, JG, Witte, DR, Wood, AR, Wu, Y, Yaghootkar, H, Yao, J, Yao, P, Yerges-Armstrong, LM, Young, R, Zeggini, E, Zhan, X, Zhang, W, Zhao, JH, Zhao, W, Zhou, W, Zondervan, KT, Consortium, GG, Rotter, JI, Pospisilik, JA, Rivadeneira, F, Borecki, IB, Deloukas, P, Frayling, TM, Lettre, G, North, KE, Lindgren, CM, Hirschhorn, JN, Loos, RJF, Vascular Medicine, ACS - Atherosclerosis & ischemic syndromes, and Amsterdam Cardiovascular Sciences
Published: 2018

19. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity (vol 50, pg 765, 2017)

Author: Turcot, V, Lu, Y, Highland, HM, Schurmann, C, Justice, AE, Fine, RS, Bradfield, JP, Esko, T, Giri, A, Graff, M, Guo, X, Hendricks, AE, Karaderi, T, Lempradl, A, Locke, AE, Mahajan, A, Marouli, E, Sivapalaratnam, S, Young, KL, Alfred, T, Feitosa, MF, Masca, NGD, Manning, AK, Medina-Gomez, C, Mudgal, P, Ng, MCY, Reiner, AP, Vedantam, S, Willems, SM, Winkler, TW, Abecasis, G, Aben, KK, Alam, DS, Alharthi, SE, Allison, M, Amouyel, P, Asselbergs, FW, Auer, PL, Balkau, B, Bang, LE, Barroso, I, Bastarache, L, Benn, M, Bergmann, S, Bielak, LF, Bluher, M, Boehnke, M, Boeing, H, Boerwinkle, E, Boger, CA, Bork-Jensen, J, Bots, ML, Bottinger, EP, Bowden, DW, Brandslund, I, Breen, G, Brilliant, MH, Broer, L, Brumat, M, Burt, AA, Butterworth, AS, Campbell, PT, Cappellani, S, Carey, DJ, Catamo, E, Caulfield, MJ, Chambers, JC, Chasman, DI, Chen, Y-DI, Chowdhury, R, Christensen, C, Chu, AY, Cocca, M, Collins, FS, Cook, JP, Corley, J, Galbany, JC, Cox, AJ, Crosslin, DS, Cuellar-Partida, G, D'Eustacchio, A, Danesh, J, Davies, G, Bakker, PIW, Groot, MCH, Mutsert, R, Deary, IJ, Dedoussis, G, Demerath, EW, Heijer, M, Hollander, AI, Ruijter, HM, Dennis, JG, Denny, JC, Angelantonio, E, Drenos, F, Du, M, Dube, M-P, Dunning, AM, Easton, DF, Edwards, TL, Ellinghaus, D, Ellinor, PT, Elliott, P, Evangelou, E, Farmaki, A-E, Farooqi, IS, Faul, JD, Fauser, S, Feng, S, Ferrannini, E, Ferrieres, J, Florez, JC, Ford, I, Fornage, M, Franco, OH, Franke, A, Franks, PW, Friedrich, N, Frikke-Schmidt, R, Galesloot, TE, Gan, W, Gandin, I, Gasparini, P, Gibson, J, Giedraitis, V, Gjesing, AP, Gordon-Larsen, P, Gorski, M, Grabe, H-J, Grant, SFA, Grarup, N, Griffiths, HL, Grove, ML, Gudnason, V, Gustafsson, S, Haessler, J, Hakonarson, H, Hammerschlag, AR, Hansen, T, Harris, KM, Harris, TB, Hattersley, AT, Have, CT, Hayward, C, He, L, Heard-Costa, NL, Heath, AC, Heid, IM, Helgeland, O, Hernesniemi, J, Hewitt, AW, Holmen, OL, Hovingh, GK, Howson, JMM, Hu, Y, Huang, PL, Huffman, JE, Ikram, MA, Ingelsson, E, Jackson, AU, Jansson, J-H, Jarvik, GP, Jensen, GB, Jia, Y, Johansson, S, Jorgensen, ME, Jorgensen, T, Jukema, JW, Kahali, B, Kahn, RS, Kahonen, M, Kamstrup, PR, Kanoni, S, Kaprio, J, Karaleftheri, M, Kardia, SLR, Karpe, F, Kathiresan, S, Kee, F, Kiemeney, LA, Kim, E, Kitajima, H, Komulainen, P, Kooner, JS, Kooperberg, C, Korhonen, T, Kovacs, P, Kuivaniemi, H, Kutalik, Z, Kuulasmaa, K, Kuusisto, J, Laakso, M, Lakka, TA, Lamparter, D, Lange, EM, Lange, LA, Langenberg, C, Larson, EB, Lee, NR, Lehtimaki, T, Lewis, CE, Li, H, Li, J, Li-Gao, R, Lin, H, Lin, K-H, Lin, L-A, Lin, X, Lind, L, Lindstrom, J, Linneberg, A, Liu, C-T, Liu, DJ, Liu, Y, Lo, KS, Lophatananon, A, Lotery, AJ, Loukola, A, Luan, J, Lubitz, SA, Lyytikainen, L-P, Mannisto, S, Marenne, G, Mazul, AL, McCarthy, MI, McKean-Cowdin, R, Medland, SE, Meidtner, K, Milani, L, Mistry, V, Mitchell, P, Mohlke, KL, Moilanen, L, Moitry, M, Montgomery, GW, Mook-Kanamori, DO, Moore, C, Mori, TA, Morris, AD, Morris, AP, Mueller-Nurasyid, M, Munroe, PB, Nalls, MA, Narisu, N, Nelson, CP, Neville, M, Nielsen, SF, Nikus, K, Njolstad, PR, Nordestgaard, BG, Nyholt, DR, O'Connel, JR, O'Donoghue, ML, Loohuis, LMO, Ophoff, RA, Owen, KR, Packard, CJ, Padmanabhan, S, Palmer, CNA, Palmer, ND, Pasterkamp, G, Patel, AP, Pattie, A, Pedersen, O, Peissig, PL, Peloso, GM, Pennell, CE, Perola, M, Perry, JA, Perry, JRB, Pers, TH, Person, TN, Peters, A, Petersen, ERB, Peyser, PA, Pirie, A, Polasek, O, Polderman, TJ, Puolijoki, H, Raitakari, OT, Rasheed, A, Rauramaa, R, Reilly, DF, Renstrom, F, Rheinberger, M, Ridker, PM, Rioux, JD, Rivas, MA, Roberts, DJ, Robertson, NR, Robino, A, Rolandsson, O, Rudan, I, Ruth, KS, Saleheen, D, Salomaa, V, Samani, NJ, Sapkota, Y, Sattar, N, Schoen, RE, Schreiner, PJ, Schulze, MB, Scott, RA, Segura-Lepe, MP, Shah, SH, Sheu, WH-H, Sim, X, Slater, AJ, Small, KS, Smith, AV, Southam, L, Spector, TD, Speliotes, EK, Starr, JM, Stefansson, K, Steinthorsdottir, V, Stirrups, KE, Strauch, K, Stringham, HM, Stumvoll, M, Sun, L, Surendran, P, Swift, AJ, Tada, H, Tansey, KE, Tardif, J-C, Taylor, KD, Teumer, A, Thompson, DJ, Thorleifsson, G, Thorsteinsdottir, U, Thuesen, BH, Tonjes, A, Tromp, G, Trompet, S, Tsafantakis, E, Tuomilehto, J, Tybjaerg-Hansen, A, Tyrer, JP, Uher, R, Uitterlinden, AG, Uusitupa, M, Laan, SW, Duijn, CM, Leeuwen, N, van Setten, J, Vanhala, M, Varbo, A, Varga, TV, Varma, R, Edwards, DRV, Vermeulen, SH, Veronesi, G, Vestergaard, H, Vitart, V, Vogt, TF, Volker, U, Vuckovic, D, Wagenknecht, LE, Walker, M, Wallentin, L, Wang, F, Wang, CA, Wang, S, Wang, Y, Ware, EB, Wareham, NJ, Warren, HR, Waterworth, DM, Wessel, J, White, HD, Willer, CJ, Wilson, JG, Witte, DR, Wood, AR, Wu, Y, Yaghootkar, H, Yao, J, Yao, P, Yerges-Armstrong, LM, Young, R, Zeggini, E, Zhan, X, Zhang, W, Zhao, JH, Zhao, W, Zhou, W, Zondervan, KT, Rotter, JI, Pospisilik, JA, Rivadeneira, F, Borecki, IB, Deloukas, P, Frayling, TM, Lettre, G, North, KE, Lindgren, CM, Hirschhorn, JN, Loos, RJF, Graduate School, Vascular Medicine, ACS - Atherosclerosis & ischemic syndromes, and Amsterdam Cardiovascular Sciences
Published: 2018

20. GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium (vol 22, pg 336, 2017)

Author: Trampush, JW, Yang, MLZ, Yu, J, Knowles, E, Davies, G, Liewald, DC, Starr, JM, Djurovic, S, Melle, I, Sundet, K, Christoforou, A, Reinvang, I, DeRosse, P, Lundervold, AJ, Steen, VM, Espeseth, T, Raikkonen, K, Widen, E, Palotie, A, Eriksson, JG, Giegling, I, Konte, B, Roussos, P, Giakoumaki, S, Burdick, KE, Payton, A, Ollier, W, Horan, M, Chiba-Falek, O, Attix, DK, Need, AC, Cirulli, ET, Voineskos, AN, Stefanis, NC, Avramopoulos, D, Hatzimanolis, A, Arking, DE, Smyrnis, N, Bilder, RM, Freimer, NA, Cannon, TD, London, E, Poldrack, RA, Sabb, FW, Congdon, E, Conley, ED, Scult, MA, Dickinson, D, Straub, RE, Donohoe, G, Morris, D, Corvin, A, Gill, M, Hariri, AR, Weinberger, DR, Pendleton, N, Bitsios, P, Rujescu, D, Lahti, J, Le Hellard, S, Keller, MC, Andreassen, OA, Deary, IJ, Glahn, DC, Malhotra, AK, and Lencz, T
Subjects: Psychiatry, 17 Psychology And Cognitive Sciences, Biochemistry & Molecular Biology, Science & Technology, Neurosciences, Neurosciences & Neurology, 11 Medical And Health Sciences, 06 Biological Sciences, Life Sciences & Biomedicine
Published: 2017
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21. An epigenome-wide association study meta-analysis of educational attainment

Author: Karlsson Linnér, R, Marioni, RE, Rietveld, CA, Simpkin, AJ, Davies, NM, Watanabe, K, Armstrong, NJ, Auro, K, Baumbach, C, Bonder, MJ, Buchwald, J, Fiorito, G, Ismail, K, Iurato, S, Joensuu, A, Karell, P, Kasela, S, Lahti, J, McRae, AF, Mandaviya, PR, Seppälä, I, Wang, Y, Baglietto, L, Binder, EB, Harris, SE, Hodge, AM, Horvath, S, Hurme, M, Johannesson, M, Latvala, A, Mather, KA, Medland, SE, Metspalu, A, Milani, L, Milne, RL, Pattie, A, Pedersen, NL, Peters, A, Polidoro, S, Räikkönen, K, Severi, G, Starr, JM, Stolk, L, Waldenberger, M, BIOS Consortium, Eriksson, JG, Esko, T, Franke, L, Gieger, C, Giles, GG, Hägg, S, Jousilahti, P, Kaprio, J, Kähönen, M, Lehtimäki, T, Martin, NG, Van Meurs, JBC, Ollikainen, M, Perola, M, Posthuma, D, Raitakari, OT, Sachdev, PS, Taskesen, E, Uitterlinden, AG, Vineis, P, Wijmenga, C, Wright, MJ, Relton, C, Davey Smith, G, Deary, IJ, Koellinger, PD, and Benjamin, DJ
Subjects: 17 Psychology And Cognitive Sciences, Psychiatry, BIOS Consortium, 11 Medical And Health Sciences, 06 Biological Sciences
Abstract: The epigenome is associated with biological factors, such as disease status, and environmental factors, such as smoking, alcohol consumption and body mass index. Although there is a widespread perception that environmental influences on the epigenome are pervasive and profound, there has been little evidence to date in humans with respect to environmental factors that are biologically distal. Here we provide evidence on the associations between epigenetic modifications-in our case, CpG methylation-and educational attainment (EA), a biologically distal environmental factor that is arguably among the most important life-shaping experiences for individuals. Specifically, we report the results of an epigenome-wide association study meta-analysis of EA based on data from 27 cohort studies with a total of 10 767 individuals. We find nine CpG probes significantly associated with EA. However, robustness analyses show that all nine probes have previously been found to be associated with smoking. Only two associations remain when we perform a sensitivity analysis in the subset of never-smokers, and these two probes are known to be strongly associated with maternal smoking during pregnancy, and thus their association with EA could be due to correlation between EA and maternal smoking. Moreover, the effect sizes of the associations with EA are far smaller than the known associations with the biologically proximal environmental factors alcohol consumption, body mass index, smoking and maternal smoking during pregnancy. Follow-up analyses that combine the effects of many probes also point to small methylation associations with EA that are highly correlated with the combined effects of smoking. If our findings regarding EA can be generalized to other biologically distal environmental factors, then they cast doubt on the hypothesis that such factors have large effects on the epigenome.Molecular Psychiatry advance online publication, 31 October 2017; doi:10.1038/mp.2017.210.
Published: 2017

22. Personality stability from age 14 to age 77 years

Author: Harris, MA, Brett, CE, Johnson, W, and Deary, IJ
Subjects: BF
Abstract: There is evidence for differential stability in personality trait differences, even over decades. The authors used data from a sample of the Scottish Mental Survey, 1947 to study personality stability from childhood to older age. The 6-Day Sample (N = 1,208) were rated on six personality characteristics by their teachers at around age 14. In 2012, the authors traced as many of these participants as possible and invited them to take part in a follow-up study. Those who agreed (N = 174) completed a questionnaire booklet at age 77 years, which included rating themselves and asking someone who knew them well to rate them on the same 6 characteristics on which they were rated in adolescence. Each set of 6 ratings was reduced to the same single underlying factor, denoted dependability, a trait comparable to conscientiousness. Participants' and others' older-age personality characteristic ratings were moderately correlated with each other, and with other measures of personality and wellbeing, but correlations suggested no significant stability of any of the 6 characteristics or their underlying factor, dependability, over the 63-year interval. However, a more complex model, controlling rater effects, indicated significant 63-year stability of 1 personality characteristic, Stability of Moods, and near-significant stability of another, Conscientiousness. Results suggest that lifelong differential stability of personality is generally quite low, but that some aspects of personality in older age may relate to personality in childhood. (PsycINFO Database Record
Published: 2016
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23. Response to letter by Bailey and Schinkel

Author: Gale, C, Deary, IJ, Cooper, C, and David Batty, G
Published: 2016
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24. A study of common Mendelian disease carriers across ageing British cohorts:Meta-analyses reveal heterozygosity for alpha 1-antitrypsin deficiency increases respiratory capacity and height

Author: North, TL, Ben-Shlomo, Y, Cooper, C, Deary, IJ, Gallacher, J, Kivimaki, M, Kumari, M, Martin, RM, Pattie, A, Sayer, AA, Starr, JM, Wong, A, Kuh, D, Rodriguez, S, and Day, IN
Subjects: Male, Heterozygote, Polymorphism, Genetic, HALCion, Cystic Fibrosis, Genotype, Complex Traits, HMGA2 Protein, ALSPAC, respiratory system, respiratory tract diseases, Europe, Pulmonary Disease, Chronic Obstructive, Phenotype, Forced Expiratory Volume, Phenylketonurias, alpha 1-Antitrypsin, alpha 1-Antitrypsin Deficiency, Humans, Female, Alleles, Mendelian carriers, height
Abstract: BACKGROUND: Several recessive Mendelian disorders are common in Europeans, including cystic fibrosis (CFTR), medium-chain-acyl-Co-A-dehydrogenase deficiency (ACADM), phenylketonuria (PAH) and alpha 1-antitrypsin deficiency (SERPINA1).METHODS: In a multicohort study of >19 000 older individuals, we investigated the relevant phenotypes in heterozygotes for these genes: lung function (forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC)) for CFTR and SERPINA1; cognitive measures for ACADM and PAH; and physical capability for ACADM, PAH and SERPINA1.RESULTS: Findings were mostly negative but lung function in SERPINA1 (protease inhibitor (PI) Z allele, rs28929474) showed enhanced FEV1 and FVC (0.13 z-score increase in FEV1 (p=1.7×10(-5)) and 0.16 z-score increase in FVC (p=5.2×10(-8))) in PI-MZ individuals. Height adjustment (a known, strong correlate of FEV1 and FVC) revealed strong positive height associations of the Z allele (1.50 cm increase in height (p=3.6×10(-10))).CONCLUSIONS: The PI-MZ rare (2%) SNP effect is nearly four times greater than the 'top' common height SNP in HMGA2. However, height only partially attenuates the SERPINA1-FEV1 or FVC association (around 50%) and vice versa. Height SNP variants have recently been shown to be positively selected collectively in North versus South Europeans, while the Z allele high frequency is localised to North Europe. Although PI-ZZ is clinically disadvantageous to lung function, PI-MZ increases both height and respiratory function; potentially a balanced polymorphism. Partial blockade of PI could conceivably form part of a future poly-therapeutic approach in very short children. The notion that elastase inhibition should benefit patients with chronic obstructive pulmonary disease may also merit re-evaluation. PI is already a therapeutic target: our findings invite a reconsideration of the optimum level in respiratory care and novel pathway potential for development of agents for the management of growth disorders.
Published: 2016
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25. Effect of smoking on physical and cognitive capability in later life: a multicohort study using observational and genetic approaches

Author: Cooper, Rachel, North, TL, Palmer, TM, Lewis, SJ, Cooper, R, Power, C, Pattie, A, Starr, JM, Deary, IJ, Martin, RM, Aihie, Sayer A, Kumari, M, Cooper, C, Kivimaki, M, Kuh, D, Ben-Shlomo, Y, and Day, IN
Abstract: Objectives The observed associations between smoking and functional measures at older ages are vulnerable to bias and confounding. Mendelian randomisation (MR) uses genotype as an instrumental variable to estimate unconfounded causal associations. We conducted a meta-analysis of the observational associations and implemented an MR approach using the smoking-related single nucleotide polymorphism rs16969968 to explore their causal nature. Setting 9 British cohorts belonging to the HALCyon collaboration. Participants Individual participant data on N=26 692 individuals of European ancestry (N from earliest phase analysed per study) of mean ages 50–79 years were available for inclusion in observational meta-analyses of the primary outcomes. Primary outcomes Physical capability, cognitive capability and cognitive decline. The smoking exposures were cigarettes per day, current versus ex-smoker, current versus never smoker and ever versus never smoker. Results In observational analyses current and ever smoking were generally associated with poorer physical and cognitive capability. For example, current smokers had a general fluid cognition score which was 0.17 z-score units (95% CI −0.221 to −0.124) lower than ex-smokers in cross-sectional analyses. Current smokers had a walk speed which was 0.25 z-score units lower than never smokers (95% CI −0.338 to −0.170). An MR instrumental variable approach for current versus ex-smoker and number of cigarettes smoked per day produced CIs which neither confirmed nor refuted the observational estimates. The number of genetic associations stratified by smoking status were consistent with type I error. Conclusions Our observational analysis supports the hypothesis that smoking is detrimental to physical and cognitive capability. Further studies are needed for a suitably powered MR approach.
Published: 2015

26. Rare and low-frequency variants and their association with plasma levels of fibrinogen, FVII, FVIII, and vWF

Author: Huffman, JE, De Vries, PS, Morrison, AC, Sabater-Lleal, M, Kacprowski, T, Auer, PL, Brody, JA, Chasman, DI, Chen, MH, Guo, X, Lin, LA, Marioni, RE, Müller-Nurasyid, M, Yanek, LR, Pankratz, N, Grove, ML, De Maat, MPM, Cushman, M, Wiggins, KL, Qi, L, Sennblad, B, Harris, SE, Polasek, O, Riess, H, Rivadeneira, F, Rose, LM, Goel, A, Taylor, KD, Teumer, A, Uitterlinden, AG, Vaidya, D, Yao, J, Tang, W, Levy, D, Waldenberger, M, Becker, DM, Folsom, AR, Giulianini, F, Greinacher, A, Hofman, A, Huang, CC, Kooperberg, C, Silveira, A, Starr, JM, Strauch, K, Strawbridge, RJ, Wright, AF, McKnight, B, Franco, OH, Zakai, N, Mathias, RA, Psaty, BM, Ridker, PM, Tofler, GH, Völker, U, Watkins, H, Fornage, M, Hamsten, A, Deary, IJ, Boerwinkle, E, Koenig, W, Rotter, JI, Hayward, C, Dehghan, A, Reiner, AP, and O'Donnell, CJ
Abstract: © 2015, American Society of Hematology. All rights reserved. Fibrinogen, coagulation factor VII (FVII), and factor VIII (FVIII) and its carrier von Willebrand factor (vWF) play key roles in hemostasis. Previously identified common variants explain only a small fraction of the trait heritabilities, and additional variations may be explained by associations with rarer variants with larger effects. The aim of this study was to identify low-frequency (minor allele frequency [MAF] ≥0.01 and
Published: 2015
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27. A GWAS sequence variant for platelet volume marks an alternative DNM3 promoter in megakaryocytes near a MEIS1 binding site

Author: Nürnberg ST, Rendon A, Smethurst PA, Paul DS, Voss K, Thon JN, Lloyd Jones H, Sambrook JG, Tijssen MR, Gieger C, Radhakrishnan A, Cvejic A, Tang W, Porcu E, Pistis G, Serbanovic Canic J, Elling U, Goodall AH, Labrune Y, Lopez LM, Mägi R, Meacham S, Okada Y, Sorice R, Teumer A, Zhang W, Ramirez Solis R, Bis JC, Ellinghaus D, Gögele M, Hottenga JJ, Langenberg C, Kovacs P, F. P, Shin SY, Esko T, Hartiala J, Kanoni S, Murgia F, Parsa A, Stephens J, van der Harst P, van der Schoot C, Allayee H, Attwood A, Balkau B, Bastardot F, Basu S, Baumeister SE, Biino G, Bomba L, Bonnefond A, Cambien F, Chambers JC, Cucca F, Davies G, de Geus EJ, de Boer RA, Döring A, Elliott P, Erdmann J, Feng W, Evans DM, Falchi M, Folsom AR, Frazer IH, Gibson QD, Glazer NL, Hammond C, Hartikainen AL, Heckbert SR, Hengstenberg C, Hersch M, Illig T, Loos RJ, Jolley J, Khaw KT, Kühnel B, Kyrtsonis MC, Lagou V, Lumley T, Mangino M, Maschio A, Mateo Leach I, McKnight B, Memari Y, Mitchell BD, Montgomery GW, Nöthlings U, Nakamura Y, Nauck M, Navis G, Nolte IM, Porteous DJ, Pouta A, Pramstaller PP, Pullat J, Ring SM, Rotter JI, Ruggiero D, Ruokonen A, Sala C, Samani NJ, Sambrook J, Schlessinger D, Schreiber S, Schunkert H, Scott J, Smith NL, Snieder H, Starr JM, Stumvoll M, Takahashi A, Taylor K, Tenesa A, Thein SL, Tönjes A, Uda M, Ulivi S, Wichmann HE, Yang TP, van Veldhuisen DJ, Visscher PM, Völker U, Wiggins KL, Willemsen G, Zhao JH, Zitting P, Bradley JR, Dedoussis GV, Hazen SL, Metspalu A, Pirastu M, Shuldiner AR, van Pelt L, Zwaginga JJ, Boomsma DI, Deary IJ, Franke A, Froguel P, Ganesh SK, Jarvelin MR, Martin NG, Meisinger C, Psaty BM, Spector TD, Wareham NJ, Akkerman JW, Ciullo M, Deloukas P, Greinacher A, Jupe S, Kamatani N, Khadake J, Kooner JS, Penninger J, Prokopenko I, Stemple D, Toniolo D, Wernisch L, Sanna S, Hicks AA, Ferreira MA, Italiano JE Jr, Gottgens B, Soranzo N, Ouwehand WH, PIRASTU, Nicola, D'ADAMO, ADAMO PIO, GASPARINI, PAOLO, Nürnberg, St, Rendon, A, Smethurst, Pa, Paul, D, Voss, K, Thon, Jn, Lloyd Jones, H, Sambrook, Jg, Tijssen, Mr, Gieger, C, Radhakrishnan, A, Cvejic, A, Tang, W, Porcu, E, Pistis, G, Serbanovic Canic, J, Elling, U, Goodall, Ah, Labrune, Y, Lopez, Lm, Mägi, R, Meacham, S, Okada, Y, Pirastu, Nicola, Sorice, R, Teumer, A, Zhang, W, Ramirez Solis, R, Bis, Jc, Ellinghaus, D, Gögele, M, Hottenga, Jj, Langenberg, C, Kovacs, P, F., P, Shin, Sy, Esko, T, Hartiala, J, Kanoni, S, Murgia, F, Parsa, A, Stephens, J, van der Harst, P, van der Schoot, C, Allayee, H, Attwood, A, Balkau, B, Bastardot, F, Basu, S, Baumeister, Se, Biino, G, Bomba, L, Bonnefond, A, Cambien, F, Chambers, Jc, Cucca, F, D'Adamo, ADAMO PIO, Davies, G, de Geus, Ej, de Boer, Ra, Döring, A, Elliott, P, Erdmann, J, Feng, W, Evans, Dm, Falchi, M, Folsom, Ar, Frazer, Ih, Gibson, Qd, Glazer, Nl, Hammond, C, Hartikainen, Al, Heckbert, Sr, Hengstenberg, C, Hersch, M, Illig, T, Loos, Rj, Jolley, J, Khaw, Kt, Kühnel, B, Kyrtsonis, Mc, Lagou, V, Lumley, T, Mangino, M, Maschio, A, Mateo Leach, I, Mcknight, B, Memari, Y, Mitchell, Bd, Montgomery, Gw, Nöthlings, U, Nakamura, Y, Nauck, M, Navis, G, Nolte, Im, Porteous, Dj, Pouta, A, Pramstaller, Pp, Pullat, J, Ring, Sm, Rotter, Ji, Ruggiero, D, Ruokonen, A, Sala, C, Samani, Nj, Sambrook, J, Schlessinger, D, Schreiber, S, Schunkert, H, Scott, J, Smith, Nl, Snieder, H, Starr, Jm, Stumvoll, M, Takahashi, A, Taylor, K, Tenesa, A, Thein, Sl, Tönjes, A, Uda, M, Ulivi, S, Wichmann, He, Yang, Tp, van Veldhuisen, Dj, Visscher, Pm, Völker, U, Wiggins, Kl, Willemsen, G, Zhao, Jh, Zitting, P, Bradley, Jr, Dedoussis, Gv, Gasparini, Paolo, Hazen, Sl, Metspalu, A, Pirastu, M, Shuldiner, Ar, van Pelt, L, Zwaginga, Jj, Boomsma, Di, Deary, Ij, Franke, A, Froguel, P, Ganesh, Sk, Jarvelin, Mr, Martin, Ng, Meisinger, C, Psaty, Bm, Spector, Td, Wareham, Nj, Akkerman, Jw, Ciullo, M, Deloukas, P, Greinacher, A, Jupe, S, Kamatani, N, Khadake, J, Kooner, J, Penninger, J, Prokopenko, I, Stemple, D, Toniolo, D, Wernisch, L, Sanna, S, Hicks, Aa, Ferreira, Ma, Italiano JE, Jr, Gottgens, B, Soranzo, N, Ouwehand, Wh, Biological Psychology, and EMGO+ - Mental Health
Subjects: Netherlands Twin Register (NTR), Transcription, Genetic, Gene Expression, Biochemistry, megakaryocyte, Mice, DNM3 promoter, Transcription (biology), GWAS, Platelet, Thrombopoiesis, Myeloid Ecotropic Viral Integration Site 1 Protein, Promoter Regions, Genetic, Cells, Cultured, Reverse Transcriptase Polymerase Chain Reaction, Hematology, Neoplasm Proteins, Haematopoiesis, Transcription Initiation Site, Megakaryocytes, platelet volume, DNM3, megakaryocytes, MEIS1, Blood Platelets, Chromatin Immunoprecipitation, Immunology, Biology, Polymorphism, Single Nucleotide, MEIS1 binding site, SDG 3 - Good Health and Well-being, Cell Line, Tumor, Animals, Humans, Cell Lineage, Binding site, Gene, Transcription factor, Homeodomain Proteins, Binding Sites, Genome, Human, Platelet Count, Hydrazones, Genetic Variation, Cell Biology, Sequence Analysis, DNA, Platelets and Thrombopoiesis, Molecular biology, Dynamin III
Abstract: We recently identified 68 genomic loci where common sequence variants are associated with platelet count and volume. Platelets are formed in the bone marrow by megakaryocytes, which are derived from hematopoietic stem cells by a process mainly controlled by transcription factors. The homeobox transcription factor MEIS1 is uniquely transcribed in megakaryocytes and not in the other lineage-committed blood cells. By ChIP-seq, we show that 5 of the 68 loci pinpoint a MEIS1 binding event within a group of 252 MK-overexpressed genes. In one such locus in DNM3, regulating platelet volume, the MEIS1 binding site falls within a region acting as an alternative promoter that is solely used in megakaryocytes, where allelic variation dictates different levels of a shorter transcript. The importance of dynamin activity to the latter stages of thrombopoiesis was confirmed by the observation that the inhibitor Dynasore reduced murine proplatelet for-mation in vitro.
Published: 2013
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28. Modulation of Genetic Associations with Serum Urate Levels by Body-Mass-Index in Humans

Author: Huffman, JE, Albrecht, E, Teumer, A, Mangino, M, Kapur, K, Johnson, T, Kutalik, Z, Pirastu, N, Pistis, G, Lopez, LM, Haller, T, Salo, P, Goel, A, Li, M, Tanaka, T, Dehghan, Abbas, Ruggiero, D, Malerba, G, Smith, AV, Nolte, IM (Ilja), Portas, L, Phipps-Green, A, Boteva, L, Navarro, P, Johansson, A, Hicks, AA, Polasek, O, Esko, T, Peden, JF, Harris, SE, Murgia, F, Wild, SH, Tenesa, A, Tin, A, Mihailov, E, Grotevendt, A, Gislason, GK, Coresh, J, d'Adamo, P, Ulivi, S, Vollenweider, P, Waeber, G, Campbell, S, Kolcic, I, Fisher, K, Viigimaa, M, Metter, JE, Masciullo, C, Trabetti, E, Bombieri, C, Sorice, R, Doring, A, Reischl, E, Strauch, K, Hofman, Bert, Uitterlinden, André, Waldenberger, M, Wichmann, HE, Davies, G, Gow, AJ, Dalbeth, N, Stamp, L, Smit, JH, Kirin, M, Nagaraja, R, Nauck, M, Schurmann, C, Budde, K, Farrington, SM, Theodoratou, E, Jula, A, Salomaa, V, Sala, C, Hengstenberg, C, Burnier, M, Magi, R, Klopp, N, Kloiber, S, Schipf, S, Ripatti, S, Cabras, S, Soranzo, N, Homuth, G, Nutile, T, Munroe, PB, Hastie, N, Campbell, H, Rudan, I, Cabrera, C, Haley, C, Franco Duran, OH, Merriman, TR, Gudnason, V, Pirastu, M, Penninx, BW, Snieder, H, Metspalu, A, Ciullo, M, Pramstaller, PP, Duijn, Cornelia, Ferrucci, L, Gambaro, G, Deary, IJ, Dunlop, MG, Wilson, JF, Gasparini, P, Gyllensten, U, Spector, TD, Wright, AF, Hayward, C, Watkins, H, Perola, M, Bochud, M, Kao, WHL, Caulfield, M, Toniolo, D, Volzke, H, Gieger, C, Kottgen, A, Vitart, V, Huffman, Jennifer E., Albrecht, Eva, Teumer, Alexander, Mangino, Massimo, Kapur, Karen, Johnson, Toby, Kutalik, Zoltán, Pirastu, Nicola, Pistis, Giorgio, Lopez, Lorna M., Haller, Tooma, Salo, Perttu, Goel, Anuj, Li, Man, Tanaka, Toshiko, Dehghan, Abba, Ruggiero, Daniela, Malerba, Giovanni, Smith, Albert V., Nolte, Ilja M., Portas, Laura, Phipps Green, Amanda, Boteva, Lora, Navarro, Pau, Johansson, Asa, Hicks, Andrew A., Polasek, Ozren, Esko, Tõnu, Peden, John F., Harris, Sarah E., Murgia, Federico, Wild, Sarah H., Tenesa, Albert, Tin, Adrienne, Mihailov, Evelin, Grotevendt, Anne, Gislason, Gauti K., Coresh, Josef, D'Adamo, ADAMO PIO, Ulivi, Sheila, Vollenweider, Peter, Waeber, Gerard, Campbell, Susan, Kolcic, Ivana, Fisher, Krista, Viigimaa, Margu, Metter, Jeffrey E., Masciullo, Corrado, Trabetti, Elisabetta, Bombieri, Cristina, Sorice, Rossella, Döring, Angela, Reischl, Eva, Strauch, Konstantin, Hofman, Albert, Uitterlinden, Andre G., Waldenberger, Melanie, Wichmann, H. Erich, Davies, Gail, Gow, Alan J., Dalbeth, Nicola, Stamp, Lisa, Smit, Johannes H., Kirin, Mirna, Nagaraja, Ramaiah, Nauck, Matthia, Schurmann, Claudia, Budde, Kathrin, Farrington, Susan M., Theodoratou, Evropi, Jula, Antti, Salomaa, Veikko, Sala, Cinzia, Hengstenberg, Christian, Burnier, Michel, Mägi, Reedik, Klopp, Norman, Kloiber, Stefan, Schipf, Sabine, Ripatti, Samuli, Cabras, Stefano, Soranzo, Nicole, Homuth, Georg, Nutile, Teresa, Munroe, Patricia B., Hastie, Nichola, Campbell, Harry, Rudan, Igor, Cabrera, Claudia, Haley, Chri, Franco, Oscar H., Merriman, Tony R., Gudnason, Vilmundur, Pirastu, Mario, Penninx, Brenda W., Snieder, Harold, Metspalu, Andre, Ciullo, Marina, Pramstaller, Peter P., Van Duijn, Cornelia M., Ferrucci, Luigi, Gambaro, Giovanni, Deary, Ian J., Dunlop, Malcolm G., Wilson, James F., Gasparini, Paolo, Gyllensten, Ulf, Spector, Tim D., Wright, Alan F., Hayward, Caroline, Watkins, Hugh, Perola, Marku, Bochud, Murielle, Linda Kao, W. H., Caulfield, Mark, Toniolo, Daniela, Völzke, Henry, Gieger, Christian, Köttgen, Anna, Vitart, Veronique, Life Course Epidemiology (LCE), Institute for Molecular Medicine Finland, Samuli Olli Ripatti / Principal Investigator, Biostatistics Helsinki, Quantitative Genetics, Complex Disease Genetics, Epidemiology, Public Health, and Internal Medicine
Subjects: Genetics and Molecular Biology (all), Male, Gout, lcsh:Medicine, Biochemistry, Body Mass Index, Risk Factors, GWAS, ATP Binding Cassette Transporter, Subfamily G, Member 2, Settore MED/14 - NEFROLOGIA, Oxidoreductases Acting on Sulfur Group Donors, lcsh:Science, METABOLIC SYNDROME, INSULIN-RESISTANCE, Membrane Glycoproteins, PLASMA N-GLYCANS, Edar Receptor, Medicine (all), Antigens, Nuclear, Neoplasm Proteins, Female, Medical Genetics, Research Article, Genotype, Nerve Tissue Proteins, Polymorphism, Single Nucleotide, BMI, SDG 3 - Good Health and Well-being, Humans, Agricultural and Biological Sciences (all), Biochemistry, Genetics and Molecular Biology (all), Obesity, GENOME-WIDE ASSOCIATION, Medicinsk genetik, ENVIRONMENT, lcsh:R, TRANSPORTER, serum urate levels, genetic associations, Overweight, Uric Acid, ALKALINE-PHOSPHATASE, Genetic Loci, RISK-FACTORS, Linear Models, lcsh:Q, ATP-Binding Cassette Transporters, 3111 Biomedicine, URIC-ACID LEVELS, Genome-Wide Association Study
Abstract: We tested for interactions between body mass index (BMI) and common genetic variants affecting serum urate levels, genome-wide, in up to 42569 participants. Both stratified genome-wide association (GWAS) analyses, in lean, overweight and obese individuals, and regression-type analyses in a non BMI-stratified overall sample were performed. The former did not uncover any novel locus with a major main effect, but supported modulation of effects for some known and potentially new urate loci. The latter highlighted a SNP at RBFOX3 reaching genome-wide significant level (effect size 0.014, 95% CI 0.008-0.02, P-inter= 2.6 x 10(-8)). Two top loci in interaction term analyses, RBFOX3 and ERO1LB-EDAR-ADD, also displayed suggestive differences in main effect size between the lean and obese strata. All top ranking loci for urate effect differences between BMI categories were novel and most had small magnitude but opposite direction effects between strata. They include the locus RBMS1-TANK (men, Pdifflean-overweight= 4.7 x 10(-8)), a region that has been associated with several obesity related traits, and TSPYL5 (men, Pdifflean-overweight= 9.1 x 10(-8)), regulating adipocytes-produced estradiol. The top-ranking known urate loci was ABCG2, the strongest known gout risk locus, with an effect halved in obese compared to lean men (Pdifflean-obese= 2 x 10(-4)). Finally, pathway analysis suggested a role for N-glycan biosynthesis as a prominent urate-associated pathway in the lean stratum. These results illustrate a potentially powerful way to monitor changes occurring in obesogenic environment.
Published: 2015
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29. Multiethnic Genome-Wide Association Study of Cerebral White Matter Hyperintensities on MRI

Author: Verhaaren, BFJ, Debette, S, Bis, JC, Smith, JA, Ikram, MK, Adams, HH, Beecham, AH, Rajan, KB, Lopez, LM, Barral, S, Van Buchem, MA, Van Der Grond, J, Smith, AV, Hegenscheid, K, Aggarwal, NT, De Andrade, M, Atkinson, EJ, Beekman, M, Beiser, AS, Blanton, SH, Boerwinkle, E, Brickman, AM, Bryan, RN, Chauhan, G, Chen, CPLH, Chouraki, V, De Craen, AJM, Crivello, F, Deary, IJ, Deelen, J, De Jager, PL, Dufouil, C, Elkind, MSV, Evans, DA, Freudenberger, P, Gottesman, RF, Gunason, V, Habes, M, Heckbert, SR, Heiss, G, Hilal, S, Hofer, E, Hofman, A, Ibrahim-Verbaas, CA, Knopman, DS, Lewis, CE, Liao, J, Liewald, DCM, Luciano, M, Van Der Lugt, A, Martinez, OO, Mayeux, R, Mazoyer, B, Nalls, M, Nauck, M, Niessen, WJ, Oostra, BA, Psaty, BM, Rice, KM, Rotter, JI, Von Sarnowski, B, Schmidt, H, Schreiner, PJ, Schuur, M, Sidney, SS, Sigurdsson, S, Slagboom, PE, Stott, DJM, Van Swieten, JC, Teumer, A, Töglhofer, AM, Traylor, M, Trompet, S, Turner, ST, Tzourio, C, Uh, HW, Uitterlinden, AG, Vernooij, MW, Wang, JJ, Wong, TY, Wardlaw, JM, Windham, BG, Wittfeld, K, Wolf, C, Wright, CB, Yang, Q, Zhao, W, Zijdenbos, A, Jukema, JW, Sacco, RL, Kardia, SLR, Amouyel, P, Mosley, TH, Longstreth, WT, DeCarli, CC, Van Duijn, CM, Schmidt, R, Launer, LJ, and Grabe, HJ
Subjects: genome-wide association study, hypertension, leukoencephalopathies, polymorphisms, single nucleotide, cerebrovascular disorders, cerebral small vessel diseases
Abstract: © 2015 American Heart Association, Inc. Background-The burden of cerebral white matter hyperintensities (WMH) is associated with an increased risk of stroke, dementia, and death. WMH are highly heritable, but their genetic underpinnings are incompletely characterized. To identify novel genetic variants influencing WMH burden, we conducted a meta-analysis of multiethnic genome-wide association studies. Methods and Results-We included 21 079 middle-aged to elderly individuals from 29 population-based cohorts, who were free of dementia and stroke and were of European (n=17 936), African (n=1943), Hispanic (n=795), and Asian (n=405) descent. WMH burden was quantified on MRI either by a validated automated segmentation method or a validated visual grading scale. Genotype data in each study were imputed to the 1000 Genomes reference. Within each ethnic group, we investigated the relationship between each single-nucleotide polymorphism and WMH burden using a linear regression model adjusted for age, sex, intracranial volume, and principal components of ancestry. A meta-analysis was conducted for each ethnicity separately and for the combined sample. In the European descent samples, we confirmed a previously known locus on chr17q25 (P=2.7×10-19) and identified novel loci on chr10q24 (P=1.6×10-9) and chr2p21 (P=4.4×10-8). In the multiethnic meta-analysis, we identified 2 additional loci, on chr1q22 (P=2.0×10-8) and chr2p16 (P=1.5×10-8). The novel loci contained genes that have been implicated in Alzheimer disease (chr2p21 and chr10q24), intracerebral hemorrhage (chr1q22), neuroinflammatory diseases (chr2p21), and glioma (chr10q24 and chr2p16). Conclusions-We identified 4 novel genetic loci that implicate inflammatory and glial proliferative pathways in the development of WMH in addition to previously proposed ischemic mechanisms.
Published: 2015
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30. The ENIGMA Consortium: Large-scale collaborative analyses of neuroimaging and genetic data

Author: Thompson, PM, Stein, JL, Medland, SE, Hibar, DP, Vasquez, AA, Renteria, ME, Toro, R, Jahanshad, N, Schumann, G, Franke, B, Wright, MJ, Martin, NG, Agartz, I, Alda, M, Alhusaini, S, Almasy, L, Almeida, J, Alpert, K, Andreasen, NC, Andreassen, OA, Apostolova, LG, Appel, K, Armstrong, NJ, Aribisala, B, Bastin, ME, Bauer, M, Bearden, CE, Bergmann, Ø, Binder, EB, Blangero, J, Bockholt, HJ, Bøen, E, Bois, C, Boomsma, DI, Booth, T, Bowman, IJ, Bralten, J, Brouwer, RM, Brunner, HG, Brohawn, DG, Buckner, RL, Buitelaar, J, Bulayeva, K, Bustillo, JR, Calhoun, VD, Cannon, DM, Cantor, RM, Carless, MA, Caseras, X, Cavalleri, GL, Chakravarty, MM, Chang, KD, Ching, CRK, Christoforou, A, Cichon, S, Clark, VP, Conrod, P, Coppola, G, Crespo-Facorro, B, Curran, JE, Czisch, M, Deary, IJ, de Geus, EJC, den Braber, A, Delvecchio, G, Depondt, C, de Haan, L, de Zubicaray, GI, Dima, D, Dimitrova, R, and Djurovic, S
Subjects: endocrine system
Abstract: The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of large-scale studies that integrate data from 70 institutions worldwide. Organized into Working Groups that tackle questions in neuroscience, genetics, and medicine, ENIGMA studies have analyzed neuroimaging data from over 12,826 subjects. In addition, data from 12,171 individuals were provided by the CHARGE consortium for replication of findings, in a total of 24,997 subjects. By meta-analyzing results from many sites, ENIGMA has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected. ENIGMA's first project was a genome-wide association study identifying common variants in the genome associated with hippocampal volume or intracranial volume. Continuing work is exploring genetic associations with subcortical volumes (ENIGMA2) and white matter microstructure (ENIGMA-DTI). Working groups also focus on understanding how schizophrenia, bipolar illness, major depression and attention deficit/hyperactivity disorder (ADHD) affect the brain. We review the current progress of the ENIGMA Consortium, along with challenges and unexpected discoveries made on the way. © 2014 The Author(s).
Published: 2014
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31. Telomere length and physical performance at older ages:an individual participant meta-analysis

Author: Cooper, Rachel, Gardner, MP, Martin-Ruiz, C, Cooper, R, Hardy, R, Sayer, AA, Cooper, C, Deary, IJ, Gallacher, J, Harris, SE, Shiels, PG, Starr, JM, Kuh, D, von, Zglinicki T, Ben-Shlomo, Y, and team, Halcyon study
Subjects: Male, Gerontology, Anatomy and Physiology, Epidemiology, Physical fitness, lcsh:Medicine, Walking, Cohort Studies, Grip strength, 0302 clinical medicine, Longitudinal Studies, Wellcome Trust, lcsh:Science, Musculoskeletal System, Epidemiological Methods, Aged, 80 and over, Molecular Epidemiology, 0303 health sciences, Multidisciplinary, Hand Strength, Chromosome Biology, Statistics, 15/SAG09977, Epidemiology of Aging, Genomics, Middle Aged, EPSRC, MRC, Telomeres, BBSRC, Medicine, Female, Public Health, Cell aging, Research Article, Adult, Clinical Research Design, Posture, Biostatistics, Biology, 03 medical and health sciences, Telomere Homeostasis, Hand strength, Genetics, Humans, ESRC, Statistical Methods, Aged, 030304 developmental biology, Balance (ability), business.industry, lcsh:R, RCUK, Human Genetics, Preferred walking speed, Biomarker Epidemiology, Cross-Sectional Studies, Geriatrics, Physical Fitness, Ageing, lcsh:Q, business, Mathematics, 030217 neurology & neurosurgery, Demography
Abstract: Background: Telomeres are involved in cellular ageing and shorten with increasing age. If telomere length is a valuable biomarker of ageing, then telomere shortening should be associated with worse physical performance, an ageing trait, but evidence for such an association is lacking. The purpose of this study was to examine whether change in telomere length is associated with physical performance.\ud \ud Methods: Using data from four UK adult cohorts (ages 53–80 years at baseline), we undertook cross-sectional and longitudinal analyses. We analysed each study separately and then used meta-analytic methods to pool the results. Physical performance was measured using walking and chair rise speed, standing balance time and grip strength. Telomere length was measured by quantitative real-time polymerase chain reaction (PCR) in whole blood at baseline and follow-up (time 1, time 2).\ud \ud Results: Total sample sizes in meta-analyses ranged from 1,217 to 3,707. There was little evidence that telomere length was associated with walking speed, balance or grip strength, though weak associations were seen with chair rise speed and grip strength at baseline (p = 0.02 and 0.01 respectively). Faster chair rise speed at follow-up, was associated with a smaller decline in telomere length between time 1 and time 2 (standardised coefficient per SD increase 0.061, 95% CI 0.006, 0.115, p = 0.03) but this was consistent with chance (p = 0.08) after further adjustment.\ud \ud Conclusions: Whereas shortening of leukocyte telomeres might be an important measure of cellular ageing, there is little evidence that it is a strong biomarker for physical performance.
Published: 2013
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32. Associations between a polymorphism in the pleiotropic GCKR and Age-related phenotypes: the HALCyon programme

Author: Cooper, Rachel, Alfred, T, Ben-Shlomo, Y, Cooper, R, Hardy, R, Deary, IJ, Elliott, J, Harris, SE, Kivimaki, M, Kumari, M, Power, C, Starr, JM, Kuh, D, Day, IN, and team, HALCyon study
Subjects: Male, Aging, Anatomy and Physiology, Epidemiology, medicine.medical_treatment, lcsh:Medicine, Genome-wide association study, Body Mass Index, Cohort Studies, Cognition, 0302 clinical medicine, 030212 general & internal medicine, lcsh:Science, Musculoskeletal System, Lung, Aged, 80 and over, 2. Zero hunger, Genetics, 0303 health sciences, Multidisciplinary, Hand Strength, Glucokinase regulatory protein, biology, Cognitive Neurology, Epidemiology of Aging, Middle Aged, Lipids, Phenotype, Neurology, Genetic Epidemiology, Medicine, Female, Research Article, Adult, Genotype, Single-nucleotide polymorphism, Motor Activity, Polymorphism, Single Nucleotide, 03 medical and health sciences, Sex Factors, medicine, Humans, SNP, Allele, Biology, Alleles, Adaptor Proteins, Signal Transducing, Aged, 030304 developmental biology, Population Biology, Insulin, lcsh:R, United Kingdom, Minor allele frequency, Geriatrics, Genetic Polymorphism, biology.protein, lcsh:Q, Physiological Processes, Body mass index, Population Genetics
Abstract: Background The glucokinase regulatory protein encoded by GCKR plays an important role in glucose metabolism and a single nucleotide polymorphism (SNP) rs1260326 (P446L) in the gene has been associated with several age-related biomarkers, including triglycerides, glucose, insulin and apolipoproteins. However, associations between SNPs in the gene and other ageing phenotypes such as cognitive and physical capability have not been reported. Methods As part of the Healthy Ageing across the Life Course (HALCyon) collaborative research programme, men and women from five UK cohorts aged between 44 and 90+ years were genotyped for rs1260326. Meta-analysis was used to pool within-study genotypic associations between the SNP and several age-related phenotypes, including body mass index (BMI), blood lipid levels, lung function, and cognitive and physical capability. Results We confirm the associations between the minor allele of the SNP and higher triglycerides and lower glucose levels. We also observed a triglyceride-independent association between the minor allele and lower BMI (pooled beta on z-score = −0.04, p-value = 0.0001, n = 16,251). Furthermore, there was some evidence for gene-environment interactions, including physical activity attenuating the effects on triglycerides. However, no associations were observed with measures of cognitive and physical capability. Conclusion Findings from middle-aged to older adults confirm associations between rs1260326 GCKR and triglycerides and glucose, suggest possible gene-environment interactions, but do not provide evidence that its relevance extends to cognitive and physical capability.
Published: 2013
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33. Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure

Author: Wain, LV, Verwoert, GC, O'Reilly, PF, Shi, G, Johnson, T, Johnson, AD, Bochud, M, Rice, KM, Henneman, P, Smith, AV, Ehret, GB, Amin, N, Larson, MG, Mooser, V, Hadley, D, Dörr, M, Bis, JC, Aspelund, T, Esko, T, Janssens, AC, Zhao, JH, Heath, S, Laan, M, Fu, J, Pistis, G, Luan, J, Arora, P, Lucas, G, Pirastu, N, Pichler, I, Jackson, AU, Webster, RJ, Zhang, F, Peden, JF, Schmidt, H, Tanaka, T, Campbell, H, Igl, W, Milaneschi, Y, Hottenga, JJ, Vitart, V, Chasman, DI, Trompet, S, Bragg-Gresham, JL, Alizadeh, BZ, Chambers, JC, Guo, X, Lehtimäki, T, Kühnel, B, Lopez, LM, Polašek, O, Boban, M, Nelson, CP, Morrison, AC, Pihur, V, Ganesh, SK, Hofman, A, Kundu, S, Mattace-Raso, FU, Rivadeneira, F, Sijbrands, EJ, Uitterlinden, AG, Hwang, SJ, Vasan, RS, Wang, TJ, Bergmann, S, Vollenweider, P, Waeber, G, Laitinen, J, Pouta, A, Zitting, P, McArdle, WL, Kroemer, HK, Völker, U, Völzke, H, Glazer, NL, Taylor, KD, Harris, TB, Alavere, H, Haller, T, Keis, A, Tammesoo, ML, Aulchenko, Y, Barroso, I, Khaw, KT, Galan, P, Hercberg, S, Lathrop, M, Eyheramendy, S, Org, E, Sõber, S, Lu, X, Nolte, IM, Penninx, BW, Corre, T, Masciullo, C, Sala, C, Groop, L, Voight, BF, Melander, O, O'Donnell, CJ, Salomaa, V, d'Adamo, AP, Fabretto, A, Faletra, F, Ulivi, S, Del Greco, F, Facheris, M, Collins, FS, Bergman, RN, Beilby, JP, Hung, J, Musk, AW, Mangino, M, Shin, SY, Soranzo, N, Watkins, H, Goel, A, Hamsten, A, Gider, P, Loitfelder, M, Zeginigg, M, Hernandez, D, Najjar, SS, Navarro, P, Wild, SH, Corsi, AM, Singleton, A, de Geus, EJ, Willemsen, G, Parker, AN, Rose, LM, Buckley, B, Stott, D, Orru, M, Uda, M, LifeLines Cohort Study, van der Klauw, MM, Zhang, W, Li, X, Scott, J, Chen, YD, Burke, GL, Kähönen, M, Viikari, J, Döring, A, Meitinger, T, Davies, G, Starr, JM, Emilsson, V, Plump, A, Lindeman, JH, Hoen, PA, König, IR, EchoGen consortium, Felix, JF, Clarke, R, Hopewell, JC, Ongen, H, Breteler, M, Debette, S, Destefano, AL, Fornage, M, AortaGen Consortium, Mitchell, GF, CHARGE Consortium Heart Failure Working Group, Smith, NL, KidneyGen consortium, Holm, H, Stefansson, K, Thorleifsson, G, Thorsteinsdottir, U, CKDGen consortium, Cardiogenics consortium, CardioGram, Samani, NJ, Preuss, M, Rudan, I, Hayward, C, Deary, IJ, Wichmann, HE, Raitakari, OT, Palmas, W, Kooner, JS, Stolk, RP, Jukema, JW, Wright, AF, Boomsma, DI, Bandinelli, S, Gyllensten, UB, Wilson, JF, Ferrucci, L, Schmidt, R, Farrall, M, Spector, TD, Palmer, LJ, Tuomilehto, J, Pfeufer, A, Gasparini, P, Siscovick, D, Altshuler, D, Loos, RJ, Toniolo, D, Snieder, H, Gieger, C, Meneton, P, Wareham, NJ, Oostra, BA, Metspalu, A, Launer, L, Rettig, R, Strachan, DP, Beckmann, JS, Witteman, JC, Erdmann, J, van Dijk, KW, Boerwinkle, E, Boehnke, M, Ridker, PM, Jarvelin, MR, Chakravarti, A, Abecasis, GR, Gudnason, V, Newton-Cheh, C, Levy, D, Munroe, PB, Psaty, BM, Caulfield, MJ, Rao, DC, Tobin, MD, Elliott, P, and van Duijn, CM
Published: 2011

34. Absence of association of a single-nucleotide polymorphism in the TERT-CLPTM1L locus with age-related phenotypes in a large multicohort study: the HALCyon programme

Author: Alfred, T, Ben-Shlomo, Y, Cooper, R, Hardy, R, Cooper, C, Deary, IJ, Elliott, J, Gunnell, D, Harris, SE, Kivimaki, M, Kumari, M, Martin, RM, Power, C, Sayer, AA, Starr, JM, Kuh, D, and Day, IN
Subjects: cognition, Adult, Male, Aging, Genotype, Blood Pressure, Polymorphism, Single Nucleotide, Gene Frequency, Humans, Longitudinal Studies, middle-aged, physical, Telomerase, Aged, Aged, 80 and over, telomere, Anthropometry, Membrane Proteins, Original Articles, Middle Aged, DNA Fingerprinting, Lipids, United Kingdom, Neoplasm Proteins, Phenotype, Healthy People Programs, Physical Endurance, Female
Abstract: Several age-related traits are associated with shorter telomeres, the structures that cap the end of linear chromosomes. A common polymorphism near the telomere maintenance gene TERT has been associated with several cancers, but relationships with other aging traits such as physical capability have not been reported. As part of the Healthy Ageing across the Life Course (HALCyon) collaborative research programme, men and women aged between 44 and 90 years from nine UK cohorts were genotyped for the single-nucleotide polymorphism (SNP) rs401681. We then investigated relationships between the SNP and 30 age-related phenotypes, including cognitive and physical capability, blood lipid levels and lung function, pooling within-study genotypic effects in meta-analyses. No significant associations were found between the SNP and any of the cognitive performance tests (e.g. pooled beta per T allele for word recall z-score = 0.02, 95% CI: -0.01 to 0.04, P-value = 0.12, n = 18,737), physical performance tests (e.g. pooled beta for grip strength = -0.02, 95% CI: -0.045 to 0.006, P-value = 0.14, n = 11,711), blood pressure, lung function or blood test measures. Similarly, no differences in observations were found when considering follow-up measures of cognitive or physical performance after adjusting for its measure at an earlier assessment. The lack of associations between SNP rs401681 and a wide range of age-related phenotypes investigated in this large multicohort study suggests that while this SNP may be associated with cancer, it is not an important contributor to other markers of aging.
Published: 2011

35. Personality traits and inflammation in men and women in their early 70s: the Lothian Birth Cohort 1936 study of healthy aging.

Author: Mottus R, Luciano M, Starr JM, Pollard MC, Deary IJ, Mõttus, René, Luciano, Michelle, Starr, John M, Pollard, Martha C, and Deary, Ian J
Published: 2013
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36. Neuroprotective lifestyles and the aging brain: activity, atrophy, and white matter integrity.

Author: Gow AJ, Bastin ME, Muñoz Maniega S, Valdés Hernández MC, Morris Z, Murray C, Royle NA, Starr JM, Deary IJ, Wardlaw JM, Gow, Alan J, Bastin, Mark E, Muñoz Maniega, Susana, Valdés Hernández, Maria C, Morris, Zoe, Murray, Catherine, Royle, Natalie A, Starr, John M, Deary, Ian J, and Wardlaw, Joanna M
Published: 2012
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37. Neuroticism and cardiovascular disease mortality: socioeconomic status modifies the risk in women (UK Health and Lifestyle Survey).

Author: Hagger-Johnson G, Roberts B, Boniface D, Sabia S, Batty GD, Elbaz A, Singh-Manoux A, Deary IJ, Hagger-Johnson, Gareth, Roberts, Beverly, Boniface, David, Sabia, Séverine, Batty, G David, Elbaz, Alexis, Singh-Manoux, Archana, and Deary, Ian J
Published: 2012
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38. Predicting mortality from human faces.

Author: Dykiert D, Bates TC, Gow AJ, Penke L, Starr JM, Deary IJ, Dykiert, Dominika, Bates, Timothy C, Gow, Alan J, Penke, Lars, Starr, John M, and Deary, Ian J
Published: 2012
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39. Anticholinergic drugs in late life: adverse effects on cognition but not on progress to dementia.

Author: Whalley LJ, Sharma S, Fox HC, Murray AD, Staff RT, Duthie AC, Deary IJ, Starr JM, Whalley, Lawrence J, Sharma, Sumit, Fox, Helen C, Murray, Alison D, Staff, Roger T, Duthie, Ashleigh C, Deary, Ian J, and Starr, John M
Abstract: Impaired cognitive function associated with use of anticholinergic drugs may be partly attributed to underlying physical illness and exposure to factors that increase the risk of some physical disorders such as low socioeconomic status (SES) and less education. To estimate the extent of cognitive impairment and risk of progress to dementia associated with anticholinergic drug use and to estimate confounding by gender, APOE, family history of dementia, lower SES, less education, and lower childhood mental ability, we recruited 281 volunteers at age 77-78 without overt dementia who had taken part in the Scottish Mental Survey of 1932. Clinical histories, use of medications, self reported frequency of emotional symptoms and standardized tests of cognitive function were obtained. With and without adjustment for age and childhood IQ, there were significant between-group differences in tests of non-verbal reasoning and spatial ability. During 10 year follow-up, progress to overt dementia was not associated with anticholinergic drugs use on recruitment but female gender and a history of dementia in parent or sibling were associated with dementia. We concluded that anticholinergic drug use in this narrow age range sample was linked to cognitive impairment but not to subsequent dementia. [ABSTRACT FROM AUTHOR]
Published: 2012
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40. Leptin levels and depressive symptoms in people with type 2 diabetes: the edinburgh type 2 diabetes study.

Author: Labad J, Price JF, Strachan MW, Fowkes FG, Deary IJ, Seckl JR, Walker BR, Sattar N, Reynolds RM, Edinburgh Type 2 Diabetes Study Investigators, Labad, Javier, Price, Jackie F, Strachan, Mark W J, Fowkes, F Gerry R, Deary, Ian J, Seckl, Jonathan R, Walker, Brian R, Sattar, Naveed, and Reynolds, Rebecca M
Published: 2012
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41. Diabetic retinopathy and cognitive decline in older people with type 2 diabetes: the Edinburgh Type 2 Diabetes Study.

Author: Ding J, Strachan MW, Reynolds RM, Frier BM, Deary IJ, Fowkes FG, Lee AJ, McKnight J, Halpin P, Swa K, Price JF, Edinburgh Type 2 Diabetes Study Investigators, Ding, Jie, Strachan, Mark W J, Reynolds, Rebecca M, Frier, Brian M, Deary, Ian J, Fowkes, F Gerald R, Lee, Amanda J, and McKnight, Janet
Abstract: Objective: Cerebral microvascular disease associated with type 2 diabetes may exacerbate the effects of aging on cognitive function. A considerable homology exists between the retinal and cerebral microcirculations; a hypothesized association between diabetic retinopathy (DR) and cognitive decline was examined in older people with type 2 diabetes.Research Design and Methods: In the population-based Edinburgh Type 2 Diabetes Study, 1,046 men and women aged 60-75 years with type 2 diabetes underwent standard seven-field binocular digital retinal photography and a battery of seven cognitive function tests. A general cognitive ability score (g) was generated by principal components analysis. The Mill-Hill Vocabulary Scale was used to estimate premorbid cognitive ability. DR was graded using a modification of the Early Treatment of Diabetic Retinopathy Scale.Results: After age and sex adjustment, a significant relationship was observed with increasing severity of DR (none, mild, and moderate to severe) for most cognitive measures. Participants with moderate-to-severe retinopathy had the worst g and the worst performances on the individual tests. There was a significant interaction between sex and retinopathy for g. In male subjects, the associations of retinopathy with g (and with tests of verbal fluency, mental flexibility, and processing speed but not memory and nonverbal reasoning) persisted (P < 0.05) when further adjusted for vocabulary (to estimate lifetime cognitive decline), depression, sociodemographic characteristics, cardiovascular risk factors, and macrovascular disease.Conclusions: DR was independently associated with estimated lifetime cognitive decline in older men with type 2 diabetes, supporting the hypothesis that cerebral microvascular disease may contribute to their observed accelerated age-related cognitive decline. A sex interaction with stronger findings in men requires further confirmation. [ABSTRACT FROM AUTHOR]
Published: 2010
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42. Direct and indirect pathways connecting cognitive ability with cardiovascular disease risk: socioeconomic status and multiple health behaviors.

Author: Hagger-Johnson GE, Shickle DA, Deary IJ, Roberts BA, Hagger-Johnson, Gareth E, Shickle, Darren A, Deary, Ian J, and Roberts, Beverly A
Published: 2010
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43. Intelligence in early adulthood and subsequent risk of unintentional injury over two decades: cohort study of 1 109 475 Swedish men.

Author: Whitley E, Batty GD, Gale CR, Deary IJ, Tynelius P, and Rasmussen F
Abstract: BACKGROUND: There is growing evidence of an inverse association between intelligence (IQ) and unintentional injuries. METHODS: Analyses are based on a cohort of 1 109 475 Swedish men with IQ measured in early adulthood. Men were followed up for an average 24 years, and hospital admissions for unintentional injury were recorded. RESULTS: 198 133 (17.9%) men had at least one hospital admission for any unintentional injury during follow-up. The most common cause of unintentional injury was falling, followed by road accidents, poisoning, fire and drowning. In addition, 14 637 (1.3%) men had at least one admission for complications of medical care. After adjusting for confounding variables, lower IQ scores were associated with an elevated risk of any unintentional injury (HR (95% CI) per SD decrease in IQ: 1.15 (1.14 to 1.15)) and of cause-specific injuries other than drowning (poisoning (1.53 (1.49 to 1.57)), fire (1.36 (1.31 to 1.41)), road traffic accidents (1.25 (1.23 to 1.26)), medical complications (1.20 (1.18 to 1.22)) and falling (1.17 (1.16 to 1.18))). These gradients were stepwise across the full IQ range. CONCLUSIONS: Low IQ scores in early adulthood were associated with a subsequently increased risk of unintentional injury. A greater understanding of mechanisms underlying these associations may provide opportunities and strategies for prevention. [ABSTRACT FROM AUTHOR]
Published: 2010
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44. Intelligence in early adulthood and subsequent risk of assault: cohort study of 1,120,998 Swedish men.

Author: Whitley E, Batty GD, Gale CR, Deary IJ, Tynelius P, Rasmussen F, Whitley, Elise, Batty, G David, Gale, Catharine R, Deary, Ian J, Tynelius, Per, and Rasmussen, Finn
Published: 2010
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45. Morning cortisol levels and cognitive abilities in people with type 2 diabetes: the Edinburgh type 2 diabetes study.

Author: Reynolds RM, Strachan MW, Labad J, Lee AJ, Frier BM, Fowkes FG, Mitchell R, Seckl JR, Deary IJ, Walker BR, Price JF, Edinburgh Type 2 Diabetes Study Investigators, Reynolds, Rebecca M, Strachan, Mark W J, Labad, Javier, Lee, Amanda J, Frier, Brian M, Fowkes, F Gerald, Mitchell, Rory, and Seckl, Jonathan R
Abstract: Objective: People with type 2 diabetes are at increased risk of cognitive impairment but the mechanism is uncertain. Elevated glucocorticoid levels in rodents and humans are associated with cognitive impairment. We aimed to determine whether fasting cortisol levels are associated with cognitive ability and estimated lifetime cognitive change in an elderly population with type 2 diabetes.Research Design and Methods: This was a cross-sectional study of 1,066 men and women aged 60-75 years with type 2 diabetes, living in Lothian, Scotland (the Edinburgh Type 2 Diabetes Study). Cognitive abilities in memory, nonverbal reasoning, information processing speed, executive function, and mental flexibility were tested, and a general cognitive ability factor, g, was derived. Prior intelligence was estimated from vocabulary testing, and adjustment for scores on this test was used to estimate lifetime cognitive change. Relationships between fasting morning plasma cortisol levels and cognitive ability and estimated cognitive change were tested. Models were adjusted for potential confounding and/or mediating variables including metabolic and cardiovascular variables.Results: In age-adjusted analyses, higher fasting cortisol levels were not associated with current g or with performance in individual cognitive domains. However, higher fasting cortisol levels were associated with greater estimated cognitive decline in g and in tests of working memory and processing speed, independent of mood, education, metabolic variables, and cardiovascular disease (P < 0.05).Conclusions: High morning cortisol levels in elderly people with type 2 diabetes are associated with estimated age-related cognitive change. Strategies targeted at lowering cortisol action may be useful in ameliorating cognitive decline in individuals with type 2 diabetes. [ABSTRACT FROM AUTHOR]
Published: 2010
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46. Association between raised inflammatory markers and cognitive decline in elderly people with type 2 diabetes: the Edinburgh Type 2 Diabetes Study.

Author: Marioni RE, Strachan MW, Reynolds RM, Lowe GD, Mitchell RJ, Fowkes FG, Frier BM, Lee AJ, Butcher I, Rumley A, Murray GD, Deary IJ, Price JF, Marioni, Riccardo E, Strachan, Mark W J, Reynolds, Rebecca M, Lowe, Gordon D O, Mitchell, Rory J, Fowkes, F Gerry R, and Frier, Brian M
Abstract: Objective: To determine whether circulating levels of the inflammatory markers C-reactive protein (CRP), interleukin (IL)-6, and tumor necrosis factor (TNF)-alpha are associated with cognitive ability and estimated lifetime cognitive decline in an elderly population with type 2 diabetes.Research Design and Methods: A cross-sectional study of 1,066 men and women aged 60-75 years with type 2 diabetes and living in Lothian, Scotland (the Edinburgh Type 2 Diabetes Study), was performed. Seven cognitive tests were used to measure abilities in memory, nonverbal reasoning, information processing speed, executive function, and mental flexibility. The results were used to derive a general intelligence factor (g). A vocabulary-based test was administered as an estimate of peak prior cognitive ability. Results on the cognitive tests were assessed for statistical association with inflammatory markers measured in a venous blood sample at the time of cognitive testing.Results: Higher IL-6 and TNF-alpha levels were associated with poorer age- and sex-adjusted scores on the majority of the individual cognitive tests. They were also associated with g using standardized regression coefficients -0.074 to -0.173 (P < 0.05). After adjusting for vocabulary, education level, cardiovascular dysfunction, duration of diabetes, and glycemic control, IL-6 remained associated with three of the cognitive tests and with g.Conclusions: In this representative population of people with type 2 diabetes, elevated circulating levels of inflammatory markers were associated with poorer cognitive ability. IL-6 levels were also associated with estimated lifetime cognitive decline. [ABSTRACT FROM AUTHOR]
Published: 2010
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47. Caffeine consumption and cognitive function at age 70: the Lothian Birth Cohort 1936 study.

Author: Corley J, Jia X, Kyle JA, Gow AJ, Brett CE, Starr JM, McNeill G, Deary IJ, Corley, Janie, Jia, Xueli, Kyle, Janet A M, Gow, Alan J, Brett, Caroline E, Starr, John M, McNeill, Geraldine, and Deary, Ian J
Published: 2010
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48. Neuroticism in adolescence and cognitive function in midlife in the British 1946 birth cohort: The HALCyon program.

Author: Gale CR, Deary IJ, Kuh D, Huppert F, Richards M, and HALCyon Study Team
Abstract: We examined whether higher levels of neuroticism in adolescence were associated with poorer cognitive function in midlife in 2,071 members of the British 1946 birth cohort. Higher neuroticism at age 13 was associated with poorer performance on tests of verbal ability, verbal fluency, and verbal memory at age 53 in sex-adjusted analyses. However, higher neuroticism was also associated with poorer cognitive performance at age 8. After adjustment for childhood cognition or educational attainment, the associations between neuroticism at age 13 and midlife cognition ceased to be statistically significant. The link between neuroticism and subsequent cognitive ability may be a reflection of a long-standing correlation between the stable aspects of these traits since childhood, but further measurements of both traits are needed to confirm this. [ABSTRACT FROM AUTHOR]
Published: 2010
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49. Mokken Scaling and principal components analyses of the CORE-OM in a large clinical sample.

Author: Bedford A, Watson R, Lyne J, Tibbles J, Davies F, and Deary IJ
Abstract: In a sample of 543 adult National Health Service (NHS) patients referred to a Psychological Therapies Service, the responses to the Clinical Outcomes in Routine Evaluation-Outcome Measure (CORE-OM) self-report questionnaire were examined using conventional principal components analysis (PCA) and a unique application of Mokken Scaling Procedure (MSP). Following the theoretical views of G. A. Foulds, it was suggested that some items more properly belong to the universe of attitudes and traits rather than that of symptoms and states. Accordingly, the analyses were carried out both with and without the CORE-OM Risk domain items. Both PCAs produced a very large first component of Psychological distress, while the small second component differs. With all items included, the second component was of Risk. With the risk items excluded, the second component was now Functioning. The MSP results, respectively, were of a five-item scale of Functioning (impaired by depression) and on the second analysis, a five-item Functioning scale (impaired by anxiety). There was discussion on the criteria for item selection, the time scale specified in questionnaire instructions and the optimum number of items required for a symptom scale. It was concluded that the CORE-OM item pool did not conform to its purported face validity domains and subdomains, but predominantly constitutes a large Psychological distress scale with considerable item redundancy. Copyright (c) 2009 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
Published: 2010
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50. Globus sensation and psychopathology in men: the Vietnam experience study.

Author: Gale CR, Wilson JA, Deary IJ, Gale, Catharine R, Wilson, Janet A, and Deary, Ian J
Published: 2009
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