Mostrar el registro sencillo

dc.contributor.authorReppe, Sjur
dc.contributor.authorWang, Yunpeng
dc.contributor.authorThompson, Wesley K.
dc.contributor.authorMcEvoy, Linda K.
dc.contributor.authorSchork, Andrew J.
dc.contributor.authorZuber, Verena
dc.contributor.authorLeBlanc, Marissa
dc.contributor.authorBettella, Francesco
dc.contributor.authorMills, Ian G.
dc.contributor.authorDesikan, Rahul S.
dc.contributor.authorDjurovic, Srdjan
dc.contributor.authorGautvik, Kaare M.
dc.contributor.authorDale, Anders M.
dc.contributor.authorAndreassen, Ole A.
dc.contributor.authorGonzález Macías, Jesús 
dc.contributor.authorOlmos Martínez, José Manuel 
dc.contributor.authorRiancho Moral, José Antonio 
dc.contributor.authorZarrabeitia Cimiano, María Teresa 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2024-01-29T13:47:31Z
dc.date.available2024-01-29T13:47:31Z
dc.date.issued2015
dc.identifier.issn1932-6203
dc.identifier.urihttps://hdl.handle.net/10902/31297
dc.description.abstractBone Mineral Density (BMD) is a highly heritable trait, but genome-wide association studies have identified few genetic risk factors. Epidemiological studies suggest associations between BMD and several traits and diseases, but the nature of the suggestive comorbidity is still unknown. We used a novel genetic pleiotropy-informed conditional False Discovery Rate (FDR) method to identify single nucleotide polymorphisms (SNPs) associated with BMD by leveraging cardiovascular disease (CVD) associated disorders and metabolic traits. By conditioning on SNPs associated with the CVD-related phenotypes, type 1 diabetes, type 2 diabetes, systolic blood pressure, diastolic blood pressure, high density lipoprotein, low density lipoprotein, triglycerides and waist hip ratio, we identified 65 novel independent BMD loci (26 with femoral neck BMD and 47 with lumbar spine BMD) at conditional FDR < 0.01. Many of the loci were confirmed in genetic expression studies. Genes validated at the mRNA levels were characteristic for the osteoblast/osteocyte lineage, Wnt signaling pathway and bone metabolism. The results provide new insight into genetic mechanisms of variability in BMD, and a better understanding of the genetic underpinnings of clinical comorbidity.es_ES
dc.description.sponsorshipThis work was supported by the Research Council of Norway [grant number 183782/V50 to OAA]; the South East Norway Health Authority [grant number 2010-074 to OAA and 52009/8029 to KMG]; the National Institutes of Health [grant number T32 EB005970 to RSD, RC2DA029475 and R01HD061414 to AJS]; the Robert J. Glushko and Pamela Samuelson Graduate Fellowship to AJS; the 6th EU framework program [grant number LSHM-CT-2003-502941 to KMG and SR]; and Oslo University Hospital, Ullevaal [grant number 52009/8029 to KMG]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.es_ES
dc.format.extent20 p.es_ES
dc.language.isoenges_ES
dc.rightsAttribution 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourcePLoS One, 2015, 10(12), e0144531es_ES
dc.titleGenetic sharing with cardiovascular disease risk factors and diabetes reveals novel bone mineral density locies_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1371/journal.pone.0144531es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1371/journal.pone.0144531
dc.type.versionpublishedVersiones_ES


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo

Attribution 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution 4.0 International