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Family-based designs for genome-wide association studies
Ott, Jurg1; Kamatani, Yoichiro2; Lathrop, Mark2,3; Ott, J (reprint author), Chinese Acad Sci, Inst Psychol, Key Lab Mental Hlth, 4A Datun Rd, Beijing 100101, Peoples R China.
2011-07-01
Source PublicationNATURE REVIEWS GENETICS
ISSN1471-0056
SubtypeReview
Volume12Issue:7Pages:465-474
Contribution Rank1
AbstractAssociation mapping has successfully identified common SNPs associated with many diseases. However, the inability of this class of variation to account for most of the supposed heritability has led to a renewed interest in methods - primarily linkage analysis - to detect rare variants. Family designs allow for control of population stratification, investigations of questions such as parent-of-origin effects and other applications that are imperfectly or not readily addressed in case-control association studies. This article guides readers through the interface between linkage and association analysis, reviews the new methodologies and provides useful guidelines for applications. Just as effective SNP-genotyping tools helped to realize the potential of association studies, next-generation sequencing tools will benefit genetic studies by improving the power of family-based approaches.
Subject AreaSocial Psychology
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China (NSFC) [30730057]
Project Intro.We are grateful to J. Terwilliger for providing us with unpublished results on his pseudomarker method. Our work was partially supported by the National Natural Science Foundation of China (NSFC) grant no. 30730057 to J.O.
WOS IDWOS:000292814500009
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Cited Times:133[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/11524
Collection中国科学院心理健康重点实验室
Corresponding AuthorOtt, J (reprint author), Chinese Acad Sci, Inst Psychol, Key Lab Mental Hlth, 4A Datun Rd, Beijing 100101, Peoples R China.
Affiliation1.Chinese Acad Sci, Inst Psychol, Key Lab Mental Hlth, Beijing 100101, Peoples R China
2.Ctr Etud Polymorphisme Humain, Fdn Jean Dausset, F-75012 Paris, France
3.CEA IC Ctr Natl Genotypage, F-91057 Evry, France
First Author AffilicationKey Laboratory of Mental Health, CAS
Recommended Citation
GB/T 7714
Ott, Jurg,Kamatani, Yoichiro,Lathrop, Mark,et al. Family-based designs for genome-wide association studies[J]. NATURE REVIEWS GENETICS,2011,12(7):465-474.
APA Ott, Jurg,Kamatani, Yoichiro,Lathrop, Mark,&Ott, J .(2011).Family-based designs for genome-wide association studies.NATURE REVIEWS GENETICS,12(7),465-474.
MLA Ott, Jurg,et al."Family-based designs for genome-wide association studies".NATURE REVIEWS GENETICS 12.7(2011):465-474.
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