Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/18856
Full metadata record
DC FieldValueLanguage
dc.contributor.authorYang, Jianen
dc.contributor.authorBakshi, Andrewen
dc.contributor.authorSnieder, Harolden
dc.contributor.authorThe LifeLines Cohort Study,en
dc.contributor.authorEsko, Tonuen
dc.contributor.authorMilani, Lilien
dc.contributor.authorMagi, Reediken
dc.contributor.authorMetspalu, Andresen
dc.contributor.authorHamsten, Andersen
dc.contributor.authorMagnusson, Patrik K Een
dc.contributor.authorPedersen, Nancy Len
dc.contributor.authorIngelsson, Eriken
dc.contributor.authorZhu, Zhihongen
dc.contributor.authorSoranzo, Nicoleen
dc.contributor.authorKeller, Matthew Cen
dc.contributor.authorWray, Naomi Ren
dc.contributor.authorGoddard, Michael Een
dc.contributor.authorVisscher, Peter Men
dc.contributor.authorHemani, Gibranen
dc.contributor.authorVinkhuyzen, Anna A Een
dc.contributor.authorLee, Sang Hongen
dc.contributor.authorRobinson, Matthew Ren
dc.contributor.authorPerry, John R Ben
dc.contributor.authorNolte, Ilja Men
dc.contributor.authorvan Vliet-Ostaptchouk, Jana Ven
dc.date.accessioned2016-04-08T10:24:00Z-
dc.date.issued2015-
dc.identifier.citationNature Genetics, 47(10), p. 1114-1120en
dc.identifier.issn1546-1718en
dc.identifier.issn1061-4036en
dc.identifier.urihttps://hdl.handle.net/1959.11/18856-
dc.description.abstractWe propose a method (GREML-LDMS) to estimate heritability for human complex traits in unrelated individuals using whole-genome sequencing data. We demonstrate using simulations based on whole-genome sequencing data that ~97% and ~68% of variation at common and rare variants, respectively, can be captured by imputation. Using the GREML-LDMS method, we estimate from 44,126 unrelated individuals that all ~17 million imputed variants explain 56% (standard error (s.e.) = 2.3%) of variance for height and 27% (s.e. = 2.5%) of variance for body mass index (BMI), and we find evidence that height- and BMI-associated variants have been under natural selection. Considering the imperfect tagging of imputation and potential overestimation of heritability from previous family-based studies, heritability is likely to be 60-70% for height and 30-40% for BMI. Therefore, the missing heritability is small for both traits. For further discovery of genes associated with complex traits, a study design with SNP arrays followed by imputation is more cost-effective than whole-genome sequencing at current prices.en
dc.languageenen
dc.publisherNature Publishing Groupen
dc.relation.ispartofNature Geneticsen
dc.titleGenetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass indexen
dc.typeJournal Articleen
dc.identifier.doi10.1038/ng.3390en
dcterms.accessRightsGreenen
dc.subject.keywordsAnimal Breedingen
dc.subject.keywordsGenomicsen
dc.subject.keywordsQuantitative Genetics (incl. Disease and Trait Mapping Genetics)en
local.contributor.firstnameJianen
local.contributor.firstnameAndrewen
local.contributor.firstnameHarolden
local.subject.for2008060408 Genomicsen
local.subject.for2008060412 Quantitative Genetics (incl. Disease and Trait Mapping Genetics)en
local.subject.for2008070201 Animal Breedingen
local.subject.seo2008970106 Expanding Knowledge in the Biological Sciencesen
local.subject.seo2008970108 Expanding Knowledge in the Information and Computing Sciencesen
local.subject.seo2008970107 Expanding Knowledge in the Agricultural and Veterinary Sciencesen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailslee38@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20160318-150457en
local.publisher.placeUnited States of Americaen
local.format.startpage1114en
local.format.endpage1120en
local.url.openhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4589513en
local.peerreviewedYesen
local.identifier.volume47en
local.identifier.issue10en
local.access.fulltextYesen
local.contributor.lastnameYangen
local.contributor.lastnameBakshien
local.contributor.lastnameSniederen
dc.identifier.staffune-id:slee38en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:19057en
dc.identifier.academiclevelAcademicen
local.title.maintitleGenetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass indexen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorYang, Jianen
local.search.authorBakshi, Andrewen
local.search.authorSnieder, Harolden
local.search.authorThe LifeLines Cohort Study,en
local.search.authorEsko, Tonuen
local.search.authorMilani, Lilien
local.search.authorMagi, Reediken
local.search.authorMetspalu, Andresen
local.search.authorHamsten, Andersen
local.search.authorMagnusson, Patrik K Een
local.search.authorPedersen, Nancy Len
local.search.authorIngelsson, Eriken
local.search.authorZhu, Zhihongen
local.search.authorSoranzo, Nicoleen
local.search.authorKeller, Matthew Cen
local.search.authorWray, Naomi Ren
local.search.authorGoddard, Michael Een
local.search.authorVisscher, Peter Men
local.search.authorHemani, Gibranen
local.search.authorVinkhuyzen, Anna A Een
local.search.authorLee, Sang Hongen
local.search.authorRobinson, Matthew Ren
local.search.authorPerry, John R Ben
local.search.authorNolte, Ilja Men
local.search.authorvan Vliet-Ostaptchouk, Jana Ven
local.uneassociationUnknownen
local.identifier.wosid000361969900006en
local.year.published2015en
local.subject.for2020310509 Genomicsen
local.subject.for2020310506 Gene mappingen
local.subject.for2020300305 Animal reproduction and breedingen
local.subject.seo2020280102 Expanding knowledge in the biological sciencesen
local.subject.seo2020280115 Expanding knowledge in the information and computing sciencesen
local.subject.seo2020280101 Expanding knowledge in the agricultural, food and veterinary sciencesen
Appears in Collections:Journal Article
Files in This Item:
2 files
File Description SizeFormat 
Show simple item record

SCOPUSTM   
Citations

509
checked on Jan 13, 2024

Page view(s)

1,188
checked on Jan 14, 2024
Google Media

Google ScholarTM

Check

Altmetric


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.