The Role of Family-Based Designs in Genome-Wide Association Studies

被引：19

作者：

Laird, Nan M. ^{[1
]}

Lange, Christoph ^{[1
]}

机构：

[1] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA

来源：

STATISTICAL SCIENCE | 2009年 / 24卷 / 04期

关键词：

Genetic association; TDT; FBAT; PBAT; two-stage designs; GENETIC-ASSOCIATION; GENOTYPING ERRORS; TRANSMISSION/DISEQUILIBRIUM TEST; LINKAGE DISEQUILIBRIUM; GENERAL-CLASS; TESTS; POWER; TRANSMISSION; INFORMATION; TRAITS;

D O I：

10.1214/08-STS280

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Genome-Wide Association Studies (GWAS) offer an exciting and promising new research avenue for finding genes for complex diseases. Traditional case-control and cohort studies offer many advantages for such designs. Family-based association designs have long been attractive for their robustness properties, but robustness can mean a loss of power. In this paper we discuss some of the special features of family designs and their relevance in the era of GWAS.

引用

页码：388 / 397

页数：10

共 50 条

[21] Covariate adjustment in family-based association studies [J].

Whittemore, AS ;

Halpern, J ;

Ahsan, H .

GENETIC EPIDEMIOLOGY, 2005, 28 (03) :244-255

[22] Singleton SNPs in the human genome and implications for genome-wide association studies [J].

Xiayi Ke ;

Martin S Taylor ;

Lon R Cardon .

European Journal of Human Genetics, 2008, 16 :506-515

[23] Singleton SNPs in the human genome and implications for genome-wide association studies [J].

Ke, Xiayi ;

Taylor, Martin S. ;

Cardon, Lon R. .

EUROPEAN JOURNAL OF HUMAN GENETICS, 2008, 16 (04) :506-515

[24] Genome-wide family-based study in torus palatinus affected individuals [J].

Bezamat, Mariana ;

Zhou, Yuqiao ;

Park, Timothy ;

Vieira, Alexandre R. .

ARCHIVES OF ORAL BIOLOGY, 2021, 130

[25] Utilising Family-Based Designs for Detecting Rare Variant Disease Associations [J].

Preston, Mark D. ;

Dudbridge, Frank .

ANNALS OF HUMAN GENETICS, 2014, 78 (02) :129-140

[26] Alternative Methods for H1 Simulations in Genome-Wide Association Studies [J].

Perduca, V. ;

Sinoquet, C. ;

Mourad, R. ;

Nuel, G. .

HUMAN HEREDITY, 2012, 73 (02) :95-104

[27] An Analysis Pipeline for Genome-wide Association Studies [J].

Stefanov, Stefan ;

Lautenberger, James ;

Gold, Bert .

CANCER INFORMATICS, 2008, 6 :455-+

[28] A short review on Genome-Wide Association Studies [J].

Cao, Xiaowen ;

Xing, Li ;

He, Hua ;

Zhang, Xuekui .

BIOINFORMATION, 2020, 16 (05) :393-395

[29] Statistical methods for genome-wide association studies [J].

Wang, Maggie Haitian ;

Cordell, Heather J. ;

Van Steen, Kristel .

SEMINARS IN CANCER BIOLOGY, 2019, 55 :53-60

[30] The Utility of Genome-Wide Association Studies in Hepatology [J].

Karlsen, Tom H. ;

Melum, Espen ;

Franke, Andre .

HEPATOLOGY, 2010, 51 (05) :1833-1842

← 1 2 3 4 5 →