Afficher la notice abrégée

dc.contributor.editorZeggini, Eleftheria
dc.contributor.editorMorris, Andrew
dc.date.accessioned2021-06-03T02:07:27Z
dc.date.available2021-06-03T02:07:27Z
dc.date.issued2015
dc.date.submitted2021-06-02T09:50:10Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/48885
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/70499
dc.description.abstractThis book is unique in covering a wide range of design and analysis issues in genetic studies of rare variants, taking advantage of collaboration of the editors with many experts in the field through large-scale international consortia including the UK10K Project, GO-T2D and T2D-GENES. Chapters provide details of state-of-the-art methodology for rare variant detection and calling, imputation and analysis in samples of unrelated individuals and families. The book also covers analytical issues associated with the study of rare variants, such as the impact of fine-scale population structure, and with combining information on rare variants across studies in a meta-analysis framework. Genetic association studies have in the last few years substantially enhanced our understanding of factors underlying traits of high medical importance, such as body mass index, lipid levels, blood pressure and many others. There is growing empirical evidence that low-frequency and rare variants play an important role in complex human phenotypes. This book covers multiple aspects of study design, analysis and interpretation for complex trait studies focusing on rare sequence variation. In many areas of genomic research, including complex trait association studies, technology is in danger of outstripping our capacity to analyse and interpret the vast amounts of data generated. The field of statistical genetics in the whole-genome sequencing era is still in its infancy, but powerful methods to analyse the aggregation of low-frequency and rare variants are now starting to emerge.
dc.languageEnglish
dc.rightsopen access
dc.subject.classificationbic Book Industry Communication::M Medicine::MF Pre-clinical medicine: basic sciences::MFN Medical genetics
dc.subject.othergenetic studies
dc.subject.otherthema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences::MFN Medical genetics
dc.titleAssessing Rare Variation in Complex Traits
dc.title.alternativeDesign and Analysis of Genetic Studies
dc.typebook
oapen.identifier.doi10.1007/978-1-4939-2824-8
oapen.relation.isPublishedBy9fa3421d-f917-4153-b9ab-fc337c396b5a
oapen.relation.hasChapterChapter Functional Annotation of Rare Genetic Variants
oapen.relation.hasChapterbb5b6de9-47c0-4a4d-8b5b-dafeb9bcf445
oapen.relation.isbn9781493928231
oapen.relation.isbn9781493945184
oapen.relation.isbn9781493928248
oapen.pages263
oapen.place.publicationNew York


Fichier(s) constituant ce document

FichiersTailleFormatVue

Il n'y a pas de fichiers associés à ce document.

Ce document figure dans la(les) collection(s) suivante(s)

Afficher la notice abrégée

Chapters in this book

  • Ritchie, Graham; Flicek, Paul (2015)
    Genome-wide association studies have successfully identified a growing number of common variants that robustly associate with a wide range of complex diseases and phenotypes. In the majority of cases though, the variants ...
  • Ritchie, Graham; Flicek, Paul (2015)
    Genome-wide association studies have successfully identified a growing number of common variants that robustly associate with a wide range of complex diseases and phenotypes. In the majority of cases though, the variants ...