Literature DB >> 25951819

Independent evidence for an association between general cognitive ability and a genetic locus for educational attainment.

Joey W Trampush1,2,3, Todd Lencz1,2,3, Emma Knowles4, Gail Davies5,6, Saurav Guha1, Itsik Pe'er7,8, David C Liewald5, John M Starr5,9, Srdjan Djurovic10,11, Ingrid Melle10,11,12, Kjetil Sundet10,12, Andrea Christoforou13,14, Ivar Reinvang15, Semanti Mukherjee1,2, Pamela DeRosse1,2, Astri Lundervold16,17,18, Vidar M Steen13,14, Majnu John1,2, Thomas Espeseth15,19, Katri Räikkönen20, Elisabeth Widen21, Aarno Palotie21,22,23, Johan G Eriksson24,25,26,27,28, Ina Giegling29, Bettina Konte29, Masashi Ikeda30, Panos Roussos31, Stella Giakoumaki32, Katherine E Burdick31, Antony Payton33, William Ollier33, Mike Horan34, Matthew Scult35, Dwight Dickinson36, Richard E Straub36,37, Gary Donohoe38, Derek Morris38, Aiden Corvin38, Michael Gill38, Ahmad Hariri35, Daniel R Weinberger36,37, Neil Pendleton39, Nakao Iwata30, Ariel Darvasi40, Panos Bitsios41, Dan Rujescu29, Jari Lahti20,42, Stephanie Le Hellard13,14, Matthew C Keller43, Ole A Andreassen10,11,12, Ian J Deary5,6, David C Glahn4, Anil K Malhotra1,2,3.   

Abstract

Cognitive deficits and reduced educational achievement are common in psychiatric illness; understanding the genetic basis of cognitive and educational deficits may be informative about the etiology of psychiatric disorders. A recent, large genome-wide association study (GWAS) reported a genome-wide significant locus for years of education, which subsequently demonstrated association to general cognitive ability ("g") in overlapping cohorts. The current study was designed to test whether GWAS hits for educational attainment are involved in general cognitive ability in an independent, large-scale collection of cohorts. Using cohorts in the Cognitive Genomics Consortium (COGENT; up to 20,495 healthy individuals), we examined the relationship between g and variants associated with educational attainment. We next conducted meta-analyses with 24,189 individuals with neurocognitive data from the educational attainment studies, and then with 53,188 largely independent individuals from a recent GWAS of cognition. A SNP (rs1906252) located at chromosome 6q16.1, previously associated with years of schooling, was significantly associated with g (P = 1.47 × 10(-4) ) in COGENT. The first joint analysis of 43,381 non-overlapping individuals for this a priori-designated locus was strongly significant (P = 4.94 × 10(-7) ), and the second joint analysis of 68,159 non-overlapping individuals was even more robust (P = 1.65 × 10(-9) ). These results provide independent replication, in a large-scale dataset, of a genetic locus associated with cognitive function and education. As sample sizes grow, cognitive GWAS will identify increasing numbers of associated loci, as has been accomplished in other polygenic quantitative traits, which may be relevant to psychiatric illness.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  GWAS; educational attainment; general cognitive ability; genetics; neurocognition; proxy phenotype

Mesh:

Year:  2015        PMID: 25951819      PMCID: PMC4500051          DOI: 10.1002/ajmg.b.32319

Source DB:  PubMed          Journal:  Am J Med Genet B Neuropsychiatr Genet        ISSN: 1552-4841            Impact factor:   3.568


  39 in total

1.  GenABEL: an R library for genome-wide association analysis.

Authors:  Yurii S Aulchenko; Stephan Ripke; Aaron Isaacs; Cornelia M van Duijn
Journal:  Bioinformatics       Date:  2007-03-23       Impact factor: 6.937

2.  Why do intelligent people live longer?

Authors:  Ian Deary
Journal:  Nature       Date:  2008-11-13       Impact factor: 49.962

3.  Advantages and pitfalls in the application of mixed-model association methods.

Authors:  Jian Yang; Noah A Zaitlen; Michael E Goddard; Peter M Visscher; Alkes L Price
Journal:  Nat Genet       Date:  2014-02       Impact factor: 38.330

Review 4.  Neurocognitive phenomics: examining the genetic basis of cognitive abilities.

Authors:  G Donohoe; I J Deary; D C Glahn; A K Malhotra; K E Burdick
Journal:  Psychol Med       Date:  2012-11-30       Impact factor: 7.723

Review 5.  Intelligence and Personality as Predictors of Illness and Death: How Researchers in Differential Psychology and Chronic Disease Epidemiology Are Collaborating to Understand and Address Health Inequalities.

Authors:  Ian J Deary; Alexander Weiss; G David Batty
Journal:  Psychol Sci Public Interest       Date:  2010-08

6.  HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variants.

Authors:  Lucas D Ward; Manolis Kellis
Journal:  Nucleic Acids Res       Date:  2011-11-07       Impact factor: 16.971

7.  Does IQ predict total and cardiovascular disease mortality as strongly as other risk factors? Comparison of effect estimates using the Vietnam Experience Study.

Authors:  G D Batty; M J Shipley; C R Gale; L H Mortensen; I J Deary
Journal:  Heart       Date:  2008-09-18       Impact factor: 5.994

8.  Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53949).

Authors:  G Davies; N Armstrong; J C Bis; J Bressler; V Chouraki; S Giddaluru; E Hofer; C A Ibrahim-Verbaas; M Kirin; J Lahti; S J van der Lee; S Le Hellard; T Liu; R E Marioni; C Oldmeadow; I Postmus; A V Smith; J A Smith; A Thalamuthu; R Thomson; V Vitart; J Wang; L Yu; L Zgaga; W Zhao; R Boxall; S E Harris; W D Hill; D C Liewald; M Luciano; H Adams; D Ames; N Amin; P Amouyel; A A Assareh; R Au; J T Becker; A Beiser; C Berr; L Bertram; E Boerwinkle; B M Buckley; H Campbell; J Corley; P L De Jager; C Dufouil; J G Eriksson; T Espeseth; J D Faul; I Ford; R F Gottesman; M E Griswold; V Gudnason; T B Harris; G Heiss; A Hofman; E G Holliday; J Huffman; S L R Kardia; N Kochan; D S Knopman; J B Kwok; J-C Lambert; T Lee; G Li; S-C Li; M Loitfelder; O L Lopez; A J Lundervold; A Lundqvist; K A Mather; S S Mirza; L Nyberg; B A Oostra; A Palotie; G Papenberg; A Pattie; K Petrovic; O Polasek; B M Psaty; P Redmond; S Reppermund; J I Rotter; H Schmidt; M Schuur; P W Schofield; R J Scott; V M Steen; D J Stott; J C van Swieten; K D Taylor; J Trollor; S Trompet; A G Uitterlinden; G Weinstein; E Widen; B G Windham; J W Jukema; A F Wright; M J Wright; Q Yang; H Amieva; J R Attia; D A Bennett; H Brodaty; A J M de Craen; C Hayward; M A Ikram; U Lindenberger; L-G Nilsson; D J Porteous; K Räikkönen; I Reinvang; I Rudan; P S Sachdev; R Schmidt; P R Schofield; V Srikanth; J M Starr; S T Turner; D R Weir; J F Wilson; C van Duijn; L Launer; A L Fitzpatrick; S Seshadri; T H Mosley; I J Deary
Journal:  Mol Psychiatry       Date:  2015-02-03       Impact factor: 15.992

Review 9.  Cognitive dysfunction in psychiatric disorders: characteristics, causes and the quest for improved therapy.

Authors:  Mark J Millan; Yves Agid; Martin Brüne; Edward T Bullmore; Cameron S Carter; Nicola S Clayton; Richard Connor; Sabrina Davis; Bill Deakin; Robert J DeRubeis; Bruno Dubois; Mark A Geyer; Guy M Goodwin; Philip Gorwood; Thérèse M Jay; Marian Joëls; Isabelle M Mansuy; Andreas Meyer-Lindenberg; Declan Murphy; Edmund Rolls; Bernd Saletu; Michael Spedding; John Sweeney; Miles Whittington; Larry J Young
Journal:  Nat Rev Drug Discov       Date:  2012-02-01       Impact factor: 84.694

10.  Childhood intelligence is heritable, highly polygenic and associated with FNBP1L.

Authors:  B Benyamin; Bst Pourcain; O S Davis; G Davies; N K Hansell; M-J A Brion; R M Kirkpatrick; R A M Cents; S Franić; M B Miller; C M A Haworth; E Meaburn; T S Price; D M Evans; N Timpson; J Kemp; S Ring; W McArdle; S E Medland; J Yang; S E Harris; D C Liewald; P Scheet; X Xiao; J J Hudziak; E J C de Geus; V W V Jaddoe; J M Starr; F C Verhulst; C Pennell; H Tiemeier; W G Iacono; L J Palmer; G W Montgomery; N G Martin; D I Boomsma; D Posthuma; M McGue; M J Wright; G Davey Smith; I J Deary; R Plomin; P M Visscher
Journal:  Mol Psychiatry       Date:  2013-01-29       Impact factor: 15.992

View more
  16 in total

1.  Early life sets the stage for aging.

Authors:  William J Jagust
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-19       Impact factor: 11.205

2.  Population-based genome-wide association study of cognitive decline in older adults free of dementia: identification of a novel locus for the attention domain.

Authors:  M Ilyas Kamboh; Kang-Hsien Fan; Qi Yan; Joanne C Beer; Beth E Snitz; Xingbin Wang; Chung-Chou H Chang; F Yesim Demirci; Eleanor Feingold; Mary Ganguli
Journal:  Neurobiol Aging       Date:  2019-03-11       Impact factor: 4.673

Review 3.  Cognitive genomics: Searching for the genetic roots of neuropsychological functioning.

Authors:  Carrie E Bearden; David C Glahn
Journal:  Neuropsychology       Date:  2017-11       Impact factor: 3.295

4.  Relationship of Cognition to Clinical Response in First-Episode Schizophrenia Spectrum Disorders.

Authors:  Joey W Trampush; Todd Lencz; Pamela DeRosse; Majnu John; Juan A Gallego; Georgios Petrides; Youssef Hassoun; Jian-Ping Zhang; Jean Addington; Charles H Kellner; Mauricio Tohen; Katherine E Burdick; Terry E Goldberg; John M Kane; Delbert G Robinson; Anil K Malhotra
Journal:  Schizophr Bull       Date:  2015-09-25       Impact factor: 9.306

5.  Age-Dependent Pleiotropy Between General Cognitive Function and Major Psychiatric Disorders.

Authors:  W David Hill; Gail Davies; David C Liewald; Andrew M McIntosh; Ian J Deary
Journal:  Biol Psychiatry       Date:  2015-09-04       Impact factor: 13.382

6.  Cognitive ability and physical health: a Mendelian randomization study.

Authors:  Saskia P Hagenaars; Catharine R Gale; Ian J Deary; Sarah E Harris
Journal:  Sci Rep       Date:  2017-06-01       Impact factor: 4.379

7.  Identification of Gene Loci That Overlap Between Schizophrenia and Educational Attainment.

Authors:  Stéphanie Le Hellard; Yunpeng Wang; Aree Witoelar; Verena Zuber; Francesco Bettella; Kenneth Hugdahl; Thomas Espeseth; Vidar M Steen; Ingrid Melle; Rahul Desikan; Andrew J Schork; Wesley K Thompson; Anders M Dale; Srdjan Djurovic; Ole A Andreassen
Journal:  Schizophr Bull       Date:  2017-05-01       Impact factor: 7.348

8.  Cognitive Test Scores in UK Biobank: Data Reduction in 480,416 Participants and Longitudinal Stability in 20,346 Participants.

Authors:  Donald M Lyall; Breda Cullen; Mike Allerhand; Daniel J Smith; Daniel Mackay; Jonathan Evans; Jana Anderson; Chloe Fawns-Ritchie; Andrew M McIntosh; Ian J Deary; Jill P Pell
Journal:  PLoS One       Date:  2016-04-25       Impact factor: 3.240

9.  Genome-wide association study of cognitive functions and educational attainment in UK Biobank (N=112 151).

Authors:  G Davies; R E Marioni; D C Liewald; W D Hill; S P Hagenaars; S E Harris; S J Ritchie; M Luciano; C Fawns-Ritchie; D Lyall; B Cullen; S R Cox; C Hayward; D J Porteous; J Evans; A M McIntosh; J Gallacher; N Craddock; J P Pell; D J Smith; C R Gale; I J Deary
Journal:  Mol Psychiatry       Date:  2016-04-05       Impact factor: 15.992

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

Authors:  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
Journal:  Mol Psychiatry       Date:  2017-01-17       Impact factor: 13.437

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.