Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms
GWAS have previously found 24 genomic loci associated with chronotype, an individual’s preference for early or late sleep timing. Here, the authors identify 327 additional loci in a sample of 697,828 individuals and further explore the relationships of chronotype with metabolic and psychiatric disea...
Guardado en:
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2019
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/7d76303f46514c92adc6ac6228d3ae3f |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| id |
oai:doaj.org-article:7d76303f46514c92adc6ac6228d3ae3f |
|---|---|
| record_format |
dspace |
| spelling |
oai:doaj.org-article:7d76303f46514c92adc6ac6228d3ae3f2021-12-02T15:36:05ZGenome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms10.1038/s41467-018-08259-72041-1723https://doaj.org/article/7d76303f46514c92adc6ac6228d3ae3f2019-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-08259-7https://doaj.org/toc/2041-1723GWAS have previously found 24 genomic loci associated with chronotype, an individual’s preference for early or late sleep timing. Here, the authors identify 327 additional loci in a sample of 697,828 individuals and further explore the relationships of chronotype with metabolic and psychiatric diseases.Samuel E. JonesJacqueline M. LaneAndrew R. WoodVincent T. van HeesJessica TyrrellRobin N. BeaumontAaron R. JeffriesHassan S. DashtiMelvyn HillsdonKatherine S. RuthMarcus A. TukeHanieh YaghootkarSeth A. SharpYingjie JieWilliam D. ThompsonJamie W. HarrisonAmy DawesEnda M. ByrneHenning TiemeierKarla V. AllebrandtJack BowdenDavid W. RayRachel M. FreathyAnna MurrayDiego R. MazzottiPhilip R. GehrmanDebbie A. LawlorTimothy M. FraylingMartin K. RutterDavid A. HindsRicha SaxenaMichael N. WeedonNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-11 (2019) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Science Q |
| spellingShingle |
Science Q Samuel E. Jones Jacqueline M. Lane Andrew R. Wood Vincent T. van Hees Jessica Tyrrell Robin N. Beaumont Aaron R. Jeffries Hassan S. Dashti Melvyn Hillsdon Katherine S. Ruth Marcus A. Tuke Hanieh Yaghootkar Seth A. Sharp Yingjie Jie William D. Thompson Jamie W. Harrison Amy Dawes Enda M. Byrne Henning Tiemeier Karla V. Allebrandt Jack Bowden David W. Ray Rachel M. Freathy Anna Murray Diego R. Mazzotti Philip R. Gehrman Debbie A. Lawlor Timothy M. Frayling Martin K. Rutter David A. Hinds Richa Saxena Michael N. Weedon Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms |
| description |
GWAS have previously found 24 genomic loci associated with chronotype, an individual’s preference for early or late sleep timing. Here, the authors identify 327 additional loci in a sample of 697,828 individuals and further explore the relationships of chronotype with metabolic and psychiatric diseases. |
| format |
article |
| author |
Samuel E. Jones Jacqueline M. Lane Andrew R. Wood Vincent T. van Hees Jessica Tyrrell Robin N. Beaumont Aaron R. Jeffries Hassan S. Dashti Melvyn Hillsdon Katherine S. Ruth Marcus A. Tuke Hanieh Yaghootkar Seth A. Sharp Yingjie Jie William D. Thompson Jamie W. Harrison Amy Dawes Enda M. Byrne Henning Tiemeier Karla V. Allebrandt Jack Bowden David W. Ray Rachel M. Freathy Anna Murray Diego R. Mazzotti Philip R. Gehrman Debbie A. Lawlor Timothy M. Frayling Martin K. Rutter David A. Hinds Richa Saxena Michael N. Weedon |
| author_facet |
Samuel E. Jones Jacqueline M. Lane Andrew R. Wood Vincent T. van Hees Jessica Tyrrell Robin N. Beaumont Aaron R. Jeffries Hassan S. Dashti Melvyn Hillsdon Katherine S. Ruth Marcus A. Tuke Hanieh Yaghootkar Seth A. Sharp Yingjie Jie William D. Thompson Jamie W. Harrison Amy Dawes Enda M. Byrne Henning Tiemeier Karla V. Allebrandt Jack Bowden David W. Ray Rachel M. Freathy Anna Murray Diego R. Mazzotti Philip R. Gehrman Debbie A. Lawlor Timothy M. Frayling Martin K. Rutter David A. Hinds Richa Saxena Michael N. Weedon |
| author_sort |
Samuel E. Jones |
| title |
Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms |
| title_short |
Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms |
| title_full |
Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms |
| title_fullStr |
Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms |
| title_full_unstemmed |
Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms |
| title_sort |
genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms |
| publisher |
Nature Portfolio |
| publishDate |
2019 |
| url |
https://doaj.org/article/7d76303f46514c92adc6ac6228d3ae3f |
| work_keys_str_mv |
AT samuelejones genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT jacquelinemlane genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT andrewrwood genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT vincenttvanhees genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT jessicatyrrell genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT robinnbeaumont genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT aaronrjeffries genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT hassansdashti genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT melvynhillsdon genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT katherinesruth genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT marcusatuke genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT haniehyaghootkar genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT sethasharp genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT yingjiejie genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT williamdthompson genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT jamiewharrison genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT amydawes genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT endambyrne genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT henningtiemeier genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT karlavallebrandt genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT jackbowden genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT davidwray genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT rachelmfreathy genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT annamurray genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT diegormazzotti genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT philiprgehrman genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT debbiealawlor genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT timothymfrayling genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT martinkrutter genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT davidahinds genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT richasaxena genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms AT michaelnweedon genomewideassociationanalysesofchronotypein697828individualsprovidesinsightsintocircadianrhythms |
| _version_ |
1718386362552418304 |