Literature DB >> 11281218

Transmission/disequilibrium tests for quantitative traits.

F Z Sun1, W D Flanders, Q H Yang, H Y Zhao.   

Abstract

The transmission/disequilibrium test (TDT) is a powerful method of locating disease genes. The TDT was originally proposed for use in studies of qualitative traits in families with both parents available. Recently, the TDT has been extended to studies of qualitative traits in sibships without parents available and in families with one parent available. It has also been extended for use in studies of quantitative traits in families with both parents available and in sibships with multiple offspring. In this paper, we first propose a new class of TDT-type tests for linkage in the presence of linkage disequilibrium for use in studies of families with both parents available. The TDT of Spielman et al. (1993) for qualitative traits and the TDT of Rabinowitz (1997) for quantitative traits are special cases of the new tests. Second, we propose a new class of TDT-type tests for linkage for use in studies of families with one parent available. Third, we study the validity and the power of the tests using simulations. Finally, we propose a method of combining data from different types of families. The combined test is valuable and allows researchers full use of the available data in detecting linkage between a marker locus and an unobservable quantitative trait locus. An important feature of the tests proposed in this paper is that no assumptions on the distribution of the quantitative traits are needed.

Mesh:

Year:  2000        PMID: 11281218     DOI: 10.1017/s000348000000840x

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  10 in total

1.  Quantitative similarity-based association tests using population samples.

Authors:  S Zhang; H Zhao
Journal:  Am J Hum Genet       Date:  2001-07-30       Impact factor: 11.025

2.  Transmission/disequilibrium test based on haplotype sharing for tightly linked markers.

Authors:  Shuanglin Zhang; Qiuying Sha; Huann-Sheng Chen; Jianping Dong; Renfang Jiang
Journal:  Am J Hum Genet       Date:  2003-08-15       Impact factor: 11.025

3.  Detection of parent-of-origin effects in complete and incomplete nuclear families with multiple affected children using multiple tightly linked markers.

Authors:  Ji-Yuan Zhou; Shili Lin; Wing K Fung; Yue-Qing Hu
Journal:  Hum Hered       Date:  2008-12-12       Impact factor: 0.444

Review 4.  Review and evaluation of methods correcting for population stratification with a focus on underlying statistical principles.

Authors:  Hemant K Tiwari; Jill Barnholtz-Sloan; Nathan Wineinger; Miguel A Padilla; Laura K Vaughan; David B Allison
Journal:  Hum Hered       Date:  2008-03-31       Impact factor: 0.444

5.  Detection of parent-of-origin effects for quantitative traits in complete and incomplete nuclear families with multiple children.

Authors:  Feng He; Ji-Yuan Zhou; Yue-Qing Hu; Fengzhu Sun; Jingyuan Yang; Shili Lin; Wing Kam Fung
Journal:  Am J Epidemiol       Date:  2011-06-01       Impact factor: 4.897

6.  Genome wide association studies for milk production traits in Chinese Holstein population.

Authors:  Li Jiang; Jianfeng Liu; Dongxiao Sun; Peipei Ma; Xiangdong Ding; Ying Yu; Qin Zhang
Journal:  PLoS One       Date:  2010-10-27       Impact factor: 3.240

7.  Detection of parent-of-origin effects based on complete and incomplete nuclear families with multiple affected children.

Authors:  Ji-Yuan Zhou; Yue-Qing Hu; Shili Lin; Wing K Fung
Journal:  Hum Hered       Date:  2008-10-17       Impact factor: 0.444

8.  Assessing the power of tag SNPs in the mapping of quantitative trait loci (QTL) with extremal and random samples.

Authors:  Kui Zhang; Fengzhu Sun
Journal:  BMC Genet       Date:  2005-10-19       Impact factor: 2.797

9.  Transmission/disequilibrium tests incorporating unaffected offspring.

Authors:  Qinyu Wei; Yuanli Chen; Zheng Zeng; Chang Shu; Lu Long; Jianhua Lu; Yangxin Huang; Ping Yin
Journal:  PLoS One       Date:  2014-12-23       Impact factor: 3.240

10.  Univariate/multivariate genome-wide association scans using data from families and unrelated samples.

Authors:  Lei Zhang; Yu-Fang Pei; Jian Li; Christopher J Papasian; Hong-Wen Deng
Journal:  PLoS One       Date:  2009-08-04       Impact factor: 3.240

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.