Literature DB >> 29068436

GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium.

J W Trampush, M L Z Yang, J Yu, E Knowles, G Davies, D C Liewald, J M Starr, S Djurovic, I Melle, K Sundet, A Christoforou, I Reinvang, P DeRosse, A J Lundervold, V M Steen, T Espeseth, K Räikkönen, E Widen, A Palotie, J G Eriksson, I Giegling, B Konte, P Roussos, S Giakoumaki, K E Burdick, A Payton, W Ollier, M Horan, O Chiba-Falek, D K Attix, A C Need, E T Cirulli, A N Voineskos, N C Stefanis, D Avramopoulos, A Hatzimanolis, D E Arking, N Smyrnis, R M Bilder, N A Freimer, T D Cannon, E London, R A Poldrack, F W Sabb, E Congdon, E D Conley, M A Scult, D Dickinson, R E Straub, G Donohoe, D Morris, A Corvin, M Gill, A R Hariri, D R Weinberger, N Pendleton, P Bitsios, D Rujescu, J Lahti, S Le Hellard, M C Keller, O A Andreassen, I J Deary, D C Glahn, A K Malhotra, T Lencz.   

Abstract

This corrects the article DOI: 10.1038/mp.2016.244.

Entities:  

Year:  2017        PMID: 29068436      PMCID: PMC5659072          DOI: 10.1038/mp.2017.197

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   15.992


Correction to: Molecular Psychiatry (2017) 22, 336–345; doi:10.1038/mp.2016.244published online 17 January 2017 Data access for several cohorts used in this study was provided by the National Center for Biotechnology Information (NCBI) database of Genotypes and Phenotypes (dbGaP). dbGaP accession numbers for these cohorts were as follows: Cardiovascular Health Study (CHS): phs000287.v4.p1, phs000377.v5.p1 and phs000226.v3.p1. Framingham Heart Study (FHS): phs000007.v23.p8 and phs000342.v11.p8. Multi-Site Collaborative Study for Genotype-Phenotype Associations in Alzheimer’s Disease (GENADA): phs000219.v1.p1. Long Life Family Study (LLFS): phs000397.v1.p1. Genetics of Late Onset Alzheimer’s Disease Study (LOAD): phs000168.v1.p1. Minnesota Center for Twin and Family Research (MCTFR): phs000620.v1.p1. Philadelphia Neurodevelopmental Cohort (PNC): phs000607.v1.p1. The acknowledgment statements for these cohorts are provided below. Framingham Heart Study: The Framingham Heart Study is conducted and supported by the National Heart, Lung, and Blood Institute (NHLBI) in collaboration with Boston University (contracts N01HC25195 and HHSN268201500001I). This article was not prepared in collaboration with investigators of the Framingham Heart Study and does not necessarily reflect the opinions or views of the Framingham Heart Study, Boston University, or the NHLBI. Funding for SHARe Affymetrix genotyping was provided by NHLBI contract N02HL64278. SHARe Illumina genotyping was provided under an agreement between Illumina and Boston University. Cardiovascular Health Study (CHS): this research was supported by contracts HHSN268201200036C, HHSN268200800007C, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85084, N01HC85085, N01HC85086, N01HC35129, N01HC15103, N01HC55222, N01HC75150, N01HC45133 and N01HC85239; grants U01 HL080295 and U01 HL130014 from the NHLBI, and R01AG023629 from the National Institute on Aging, with additional contribution from the National Institute of Neurological Disorders and Stroke. A full list of principal CHS investigators and institutions can be found at https://chs-nhlbi.org/pi. This article was not prepared in collaboration with CHS investigators and does not necessarily reflect the opinions or views of CHS or the NHLBI. Support for the genotyping through the CARe Study was provided by NHLBI contract N01HC65226. Support for the CHS Whole Genome Study was provided by NHLBI grant HL087652. Additional support for infrastructure was provided by HL105756, and additional genotyping among the African-American cohort was supported in part by HL085251; DNA handling and genotyping at Cedars-Sinai Medical Center were supported in part by National Center for Research Resources grant UL1RR033176, now through National Center for Advancing Translational Technologies CTSI grant UL1TR000124; in addition to National Institute of Diabetes and Digestive and Kidney Diseases grant DK063491 to the Southern California Diabetes Endocrinology Research Center. Multi-Site Collaborative Study for Genotype-Phenotype Associations in Alzheimer’s Disease: the genotypic and associated phenotypic data used in the study were provided by the GlaxoSmithKline, R&D Limited. Details on data acquisition were published previously (Li H, Wetten S, Li L, St Jean PL, Upmanyu R, Surh L et al., Candidate single-nucleotide polymorphisms from a genome-wide association study of Alzheimer disease, Arch Neurol 2008; 65: 45–53 and Filippini N, Rao A, Wetten S, Gibson RA, Borrie M, Guzman D et al., Anatomically-distinct genetic associations of APOE epsilon4 allele load with regional cortical atrophy in Alzheimer’s disease, Neuroimage 2009; 44: 724–728). Genetics of Late Onset Alzheimer’s Disease Study: funding support for the Genetic Consortium for Late Onset Alzheimer’s Disease was provided through the Division of Neuroscience, National Institute on Aging (NIA). The consortium includes a genome-wide association study funded as part of the Division of Neuroscience, NIA. Assistance with phenotype harmonization and genotype cleaning, as well as with general study coordination, was provided by the consortium. A list of contributing investigators is available at https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000168.v1.p1. Long Life Family Study: funding support for the Long Life Family Study was provided by the Division of Geriatrics and Clinical Gerontology, NIA. The study includes GWAS analyses for factors that contribute to long and healthy life. Assistance with phenotype harmonization and genotype cleaning as well as with general study coordination was provided by the Division of Geriatrics and Clinical Gerontology, NIA. Support for the collection of data sets and samples was provided via Multicenter Cooperative Agreement support by the Division of Geriatrics and Clinical Gerontology, NIA (UO1AG023746, UO1023755, UO1023749, UO1023744 and UO1023712). Funding support for the genotyping, which was performed at the Johns Hopkins University Center for Inherited Disease Research, was provided by the NIA. Minnesota Center for Twin and Family Research: this project was led by William G. Iacono, PhD and Matthew K. McGue, PhD (co-principal investigators) at the University of Minnesota. Co-investigators from the same institution included Irene J. Elkins, Margaret A. Keyes, Lisa N. Legrand, Stephen M. Malone, William S. Oetting, Michael B. Miller and Saonli Basu. Funding support for this project was provided through the National Institute on Drug Abuse (U01DA024417). Other support for sample ascertainment and data collection came from grants R37DA05147, R01AA09367, R01AA11886, R01DA13240 and R01MH66140. Philadelphia Neurodevelopmental Cohort: support for the collection of the data sets was provided by grant RC2MH089983 to Raquel Gur, MD and RC2MH089924 to Hakon Hakonarson, MD, PhD. All subjects were recruited through the Center for Applied Genomics at The Children’s Hospital in Philadelphia.
  13 in total

1.  Analysis of pleiotropic genetic effects on cognitive impairment, systemic inflammation, and plasma lipids in the Health and Retirement Study.

Authors:  Michael W Lutz; Ramon Casanova; Santiago Saldana; Maragatha Kuchibhatla; Brenda L Plassman; Kathleen M Hayden
Journal:  Neurobiol Aging       Date:  2019-03-06       Impact factor: 4.673

2.  Cognitive performance protects against Alzheimer's disease independently of educational attainment and intelligence.

Authors:  Yang Hu; Yan Zhang; Haihua Zhang; Shan Gao; Longcai Wang; Tao Wang; Zhifa Han; Bao-Liang Sun; Guiyou Liu
Journal:  Mol Psychiatry       Date:  2022-07-15       Impact factor: 13.437

3.  Genome-wide association analysis of cognitive function in Danish long-lived individuals.

Authors:  Marianne Nygaard; Joseph Dowsett; Matt McGue; Kaare Christensen; Lene Christiansen; Qihua Tan; Jonas Mengel-From
Journal:  Mech Ageing Dev       Date:  2021-02-16       Impact factor: 5.432

4.  Cortical Surfaces Mediate the Relationship Between Polygenic Scores for Intelligence and General Intelligence.

Authors:  Tristram A Lett; Bob O Vogel; Stephan Ripke; Carolin Wackerhagen; Susanne Erk; Swapnil Awasthi; Vassily Trubetskoy; Eva J Brandl; Sebastian Mohnke; Ilya M Veer; Markus M Nöthen; Marcella Rietschel; Franziska Degenhardt; Nina Romanczuk-Seiferth; Stephanie H Witt; Tobias Banaschewski; Arun L W Bokde; Christian Büchel; Erin B Quinlan; Sylvane Desrivières; Herta Flor; Vincent Frouin; Hugh Garavan; Penny Gowland; Bernd Ittermann; Jean-Luc Martinot; Marie-Laure Paillère Martinot; Frauke Nees; Dimitri Papadopoulos-Orfanos; Tomáš Paus; Luise Poustka; Juliane H Fröhner; Michael N Smolka; Robert Whelan; Gunter Schumann; Heike Tost; Andreas Meyer-Lindenberg; Andreas Heinz; Henrik Walter
Journal:  Cereb Cortex       Date:  2020-04-14       Impact factor: 4.861

Review 5.  Distinct Cognitive Trajectories in Late Life and Associated Predictors and Outcomes: A Systematic Review.

Authors:  Zimu Wu; Aung Zaw Zaw Phyo; Tagrid Al-Harbi; Robyn L Woods; Joanne Ryan
Journal:  J Alzheimers Dis Rep       Date:  2020-10-24

6.  Genome-wide association study identifies 48 common genetic variants associated with handedness.

Authors:  Gabriel Cuellar-Partida; Joyce Y Tung; Nicholas Eriksson; Eva Albrecht; Fazil Aliev; Ole A Andreassen; Inês Barroso; Jacques S Beckmann; Marco P Boks; Dorret I Boomsma; Heather A Boyd; Monique M B Breteler; Harry Campbell; Daniel I Chasman; Lynn F Cherkas; Gail Davies; Eco J C de Geus; Ian J Deary; Panos Deloukas; Danielle M Dick; David L Duffy; Johan G Eriksson; Tõnu Esko; Bjarke Feenstra; Frank Geller; Christian Gieger; Ina Giegling; Scott D Gordon; Jiali Han; Thomas F Hansen; Annette M Hartmann; Caroline Hayward; Kauko Heikkilä; Andrew A Hicks; Joel N Hirschhorn; Jouke-Jan Hottenga; Jennifer E Huffman; Liang-Dar Hwang; M Arfan Ikram; Jaakko Kaprio; John P Kemp; Kay-Tee Khaw; Norman Klopp; Bettina Konte; Zoltan Kutalik; Jari Lahti; Xin Li; Ruth J F Loos; Michelle Luciano; Sigurdur H Magnusson; Massimo Mangino; Pedro Marques-Vidal; Nicholas G Martin; Wendy L McArdle; Mark I McCarthy; Carolina Medina-Gomez; Mads Melbye; Scott A Melville; Andres Metspalu; Lili Milani; Vincent Mooser; Mari Nelis; Dale R Nyholt; Kevin S O'Connell; Roel A Ophoff; Cameron Palmer; Aarno Palotie; Teemu Palviainen; Guillaume Pare; Lavinia Paternoster; Leena Peltonen; Brenda W J H Penninx; Ozren Polasek; Peter P Pramstaller; Inga Prokopenko; Katri Raikkonen; Samuli Ripatti; Fernando Rivadeneira; Igor Rudan; Dan Rujescu; Johannes H Smit; George Davey Smith; Jordan W Smoller; Nicole Soranzo; Tim D Spector; Beate St Pourcain; John M Starr; Hreinn Stefánsson; Stacy Steinberg; Maris Teder-Laving; Gudmar Thorleifsson; Kári Stefánsson; Nicholas J Timpson; André G Uitterlinden; Cornelia M van Duijn; Frank J A van Rooij; Jaqueline M Vink; Peter Vollenweider; Eero Vuoksimaa; Gérard Waeber; Nicholas J Wareham; Nicole Warrington; Dawn Waterworth; Thomas Werge; H-Erich Wichmann; Elisabeth Widen; Gonneke Willemsen; Alan F Wright; Margaret J Wright; Mousheng Xu; Jing Hua Zhao; Peter Kraft; David A Hinds; Cecilia M Lindgren; Reedik Mägi; Benjamin M Neale; David M Evans; Sarah E Medland
Journal:  Nat Hum Behav       Date:  2020-09-28

7.  Neurology-related protein biomarkers are associated with cognitive ability and brain volume in older age.

Authors:  Sarah E Harris; Simon R Cox; Steven Bell; Riccardo E Marioni; Bram P Prins; Alison Pattie; Janie Corley; Susana Muñoz Maniega; Maria Valdés Hernández; Zoe Morris; Sally John; Paola G Bronson; Elliot M Tucker-Drob; John M Starr; Mark E Bastin; Joanna M Wardlaw; Adam S Butterworth; Ian J Deary
Journal:  Nat Commun       Date:  2020-02-10       Impact factor: 14.919

8.  Identification of genes involved in the evolution of human intelligence through combination of inter-species and intra-species genetic variations.

Authors:  Mengjie Li; Wenting Zhang; Xiaoyi Zhou
Journal:  PeerJ       Date:  2020-04-16       Impact factor: 2.984

9.  Education protects against coronary heart disease and stroke independently of cognitive function: evidence from Mendelian randomization.

Authors:  Dipender Gill; Anthoula Efstathiadou; Kristopher Cawood; Ioanna Tzoulaki; Abbas Dehghan
Journal:  Int J Epidemiol       Date:  2019-10-01       Impact factor: 7.196

Review 10.  CHIMGEN: a Chinese imaging genetics cohort to enhance cross-ethnic and cross-geographic brain research.

Authors:  Qiang Xu; Lining Guo; Jingliang Cheng; Meiyun Wang; Zuojun Geng; Wenzhen Zhu; Bing Zhang; Weihua Liao; Shijun Qiu; Hui Zhang; Xiaojun Xu; Yongqiang Yu; Bo Gao; Tong Han; Zhenwei Yao; Guangbin Cui; Feng Liu; Wen Qin; Quan Zhang; Mulin Jun Li; Meng Liang; Feng Chen; Junfang Xian; Jiance Li; Jing Zhang; Xi-Nian Zuo; Dawei Wang; Wen Shen; Yanwei Miao; Fei Yuan; Su Lui; Xiaochu Zhang; Kai Xu; Long Jiang Zhang; Zhaoxiang Ye; Chunshui Yu
Journal:  Mol Psychiatry       Date:  2019-12-11       Impact factor: 15.992

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