Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income

Household income is used as a marker of socioeconomic position, a trait that is associated with better physical and mental health. Here, Hill et al. report a genome-wide association study for household income in the UK and explore its relationship with intelligence in post-GWAS analyses including Me...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	W. David Hill, Neil M. Davies, Stuart J. Ritchie, Nathan G. Skene, Julien Bryois, Steven Bell, Emanuele Di Angelantonio, David J. Roberts, Shen Xueyi, Gail Davies, David C. M. Liewald, David J. Porteous, Caroline Hayward, Adam S. Butterworth, Andrew M. McIntosh, Catharine R. Gale, Ian J. Deary
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/3b15961c508c4eeeb9b6f057651dc380
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:3b15961c508c4eeeb9b6f057651dc380
record_format	dspace
spelling	oai:doaj.org-article:3b15961c508c4eeeb9b6f057651dc3802021-12-02T13:27:31ZGenome-wide analysis identifies molecular systems and 149 genetic loci associated with income10.1038/s41467-019-13585-52041-1723https://doaj.org/article/3b15961c508c4eeeb9b6f057651dc3802019-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13585-5https://doaj.org/toc/2041-1723Household income is used as a marker of socioeconomic position, a trait that is associated with better physical and mental health. Here, Hill et al. report a genome-wide association study for household income in the UK and explore its relationship with intelligence in post-GWAS analyses including Mendelian randomization.W. David HillNeil M. DaviesStuart J. RitchieNathan G. SkeneJulien BryoisSteven BellEmanuele Di AngelantonioDavid J. RobertsShen XueyiGail DaviesDavid C. M. LiewaldDavid J. PorteousCaroline HaywardAdam S. ButterworthAndrew M. McIntoshCatharine R. GaleIan J. DearyNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-16 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q W. David Hill Neil M. Davies Stuart J. Ritchie Nathan G. Skene Julien Bryois Steven Bell Emanuele Di Angelantonio David J. Roberts Shen Xueyi Gail Davies David C. M. Liewald David J. Porteous Caroline Hayward Adam S. Butterworth Andrew M. McIntosh Catharine R. Gale Ian J. Deary Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income
description	Household income is used as a marker of socioeconomic position, a trait that is associated with better physical and mental health. Here, Hill et al. report a genome-wide association study for household income in the UK and explore its relationship with intelligence in post-GWAS analyses including Mendelian randomization.
format	article
author	W. David Hill Neil M. Davies Stuart J. Ritchie Nathan G. Skene Julien Bryois Steven Bell Emanuele Di Angelantonio David J. Roberts Shen Xueyi Gail Davies David C. M. Liewald David J. Porteous Caroline Hayward Adam S. Butterworth Andrew M. McIntosh Catharine R. Gale Ian J. Deary
author_facet	W. David Hill Neil M. Davies Stuart J. Ritchie Nathan G. Skene Julien Bryois Steven Bell Emanuele Di Angelantonio David J. Roberts Shen Xueyi Gail Davies David C. M. Liewald David J. Porteous Caroline Hayward Adam S. Butterworth Andrew M. McIntosh Catharine R. Gale Ian J. Deary
author_sort	W. David Hill
title	Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income
title_short	Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income
title_full	Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income
title_fullStr	Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income
title_full_unstemmed	Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income
title_sort	genome-wide analysis identifies molecular systems and 149 genetic loci associated with income
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/3b15961c508c4eeeb9b6f057651dc380
work_keys_str_mv	AT wdavidhill genomewideanalysisidentifiesmolecularsystemsand149geneticlociassociatedwithincome AT neilmdavies genomewideanalysisidentifiesmolecularsystemsand149geneticlociassociatedwithincome AT stuartjritchie genomewideanalysisidentifiesmolecularsystemsand149geneticlociassociatedwithincome AT nathangskene genomewideanalysisidentifiesmolecularsystemsand149geneticlociassociatedwithincome AT julienbryois genomewideanalysisidentifiesmolecularsystemsand149geneticlociassociatedwithincome AT stevenbell genomewideanalysisidentifiesmolecularsystemsand149geneticlociassociatedwithincome AT emanuelediangelantonio genomewideanalysisidentifiesmolecularsystemsand149geneticlociassociatedwithincome AT davidjroberts genomewideanalysisidentifiesmolecularsystemsand149geneticlociassociatedwithincome AT shenxueyi genomewideanalysisidentifiesmolecularsystemsand149geneticlociassociatedwithincome AT gaildavies genomewideanalysisidentifiesmolecularsystemsand149geneticlociassociatedwithincome AT davidcmliewald genomewideanalysisidentifiesmolecularsystemsand149geneticlociassociatedwithincome AT davidjporteous genomewideanalysisidentifiesmolecularsystemsand149geneticlociassociatedwithincome AT carolinehayward genomewideanalysisidentifiesmolecularsystemsand149geneticlociassociatedwithincome AT adamsbutterworth genomewideanalysisidentifiesmolecularsystemsand149geneticlociassociatedwithincome AT andrewmmcintosh genomewideanalysisidentifiesmolecularsystemsand149geneticlociassociatedwithincome AT catharinergale genomewideanalysisidentifiesmolecularsystemsand149geneticlociassociatedwithincome AT ianjdeary genomewideanalysisidentifiesmolecularsystemsand149geneticlociassociatedwithincome
_version_	1718392968668250112

Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income

Ejemplares similares