Literature DB >> 16175512

Linkage disequilibrium mapping of quantitative-trait Loci by selective genotyping.

Zehua Chen1, Gang Zheng, Kaushik Ghosh, Zhaohai Li.   

Abstract

The principles of linkage disequilibrium mapping of dichotomous diseases can be well applied to the mapping of quantitative-trait loci through the method of selective genotyping. In 1999, M. Slatkin considered a truncation selection (TS) approach. We propose in this report an extended TS approach and an extreme-rank-selection (ERS) approach. The properties of these selection approaches are studied analytically. By using a simulation study, we demonstrate that both the extended TS approach and the ERS approach provide remarkable improvements over Slatkin's original TS approach.

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Year:  2005        PMID: 16175512      PMCID: PMC1275615          DOI: 10.1086/491658

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  13 in total

1.  Disequilibrium mapping of a quantitative-trait locus in an expanding population.

Authors:  M Slatkin
Journal:  Am J Hum Genet       Date:  1999-06       Impact factor: 11.025

2.  Linkage disequilibrium mapping of quantitative trait loci under truncation selection.

Authors:  M Xiong; R Fan; L Jin
Journal:  Hum Hered       Date:  2002       Impact factor: 0.444

3.  A powerful and robust new linkage statistic for discordant sibling pairs.

Authors:  Jin P Szatkiewicz; Eleanor Feingold
Journal:  Am J Hum Genet       Date:  2004-09-13       Impact factor: 11.025

4.  Likelihood analysis of disequilibrium mapping, and related problems.

Authors:  B Rannala; M Slatkin
Journal:  Am J Hum Genet       Date:  1998-02       Impact factor: 11.025

5.  Genetic control of serum IgE levels and asthma: linkage and linkage disequilibrium studies in an isolated population.

Authors:  T Laitinen; P Kauppi; J Ignatius; T Ruotsalainen; M J Daly; H Kääriäinen; L Kruglyak; H Laitinen; A de la Chapelle; E S Lander; L A Laitinen; J Kere
Journal:  Hum Mol Genet       Date:  1997-11       Impact factor: 6.150

6.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
Journal:  Genetics       Date:  1989-01       Impact factor: 4.562

7.  Extreme discordant sib pairs for mapping quantitative trait loci in humans.

Authors:  N Risch; H Zhang
Journal:  Science       Date:  1995-06-16       Impact factor: 47.728

8.  An extreme-sib-pair genome scan for genes regulating blood pressure.

Authors:  X Xu; J J Rogus; H A Terwedow; J Yang; Z Wang; C Chen; T Niu; B Wang; H Xu; S Weiss; N J Schork; Z Fang
Journal:  Am J Hum Genet       Date:  1999-06       Impact factor: 11.025

Review 9.  Messages from an isolate: lessons from the Finnish gene pool.

Authors:  L Peltonen; P Pekkarinen; J Aaltonen
Journal:  Biol Chem Hoppe Seyler       Date:  1995-12

10.  The diastrophic dysplasia gene encodes a novel sulfate transporter: positional cloning by fine-structure linkage disequilibrium mapping.

Authors:  J Hästbacka; A de la Chapelle; M M Mahtani; G Clines; M P Reeve-Daly; M Daly; B A Hamilton; K Kusumi; B Trivedi; A Weaver
Journal:  Cell       Date:  1994-09-23       Impact factor: 41.582

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  20 in total

1.  Efficient association mapping of quantitative trait loci with selective genotyping.

Authors:  B E Huang; D Y Lin
Journal:  Am J Hum Genet       Date:  2007-01-30       Impact factor: 11.025

2.  Selective genotyping and phenotyping strategies in a complex trait context.

Authors:  Saunak Sen; Frank Johannes; Karl W Broman
Journal:  Genetics       Date:  2009-01-19       Impact factor: 4.562

3.  Quantitative trait analysis in sequencing studies under trait-dependent sampling.

Authors:  Dan-Yu Lin; Donglin Zeng; Zheng-Zheng Tang
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-11       Impact factor: 11.205

4.  Genetic association analysis under complex survey sampling: the Hispanic Community Health Study/Study of Latinos.

Authors:  Dan-Yu Lin; Ran Tao; William D Kalsbeek; Donglin Zeng; Franklyn Gonzalez; Lindsay Fernández-Rhodes; Mariaelisa Graff; Gary G Koch; Kari E North; Gerardo Heiss
Journal:  Am J Hum Genet       Date:  2014-12-04       Impact factor: 11.025

5.  Impact on modes of inheritance and relative risks of using extreme sampling when designing genetic association studies.

Authors:  Gang Zheng; Xu Jinfeng; Ao Yuan; O Wu Colin
Journal:  Ann Hum Genet       Date:  2012-11-20       Impact factor: 1.670

6.  Exome sequencing identified FGF12 as a novel candidate gene for Kashin-Beck disease.

Authors:  Feng Zhang; Lanlan Dai; Weimin Lin; Wenyu Wang; Xuanzhu Liu; Jianguo Zhang; Tielin Yang; Xiaogang Liu; Hui Shen; Xiangding Chen; Lijun Tan; Qing Tian; Hong-Wen Deng; Xun Xu; Xiong Guo
Journal:  Funct Integr Genomics       Date:  2015-08-20       Impact factor: 3.410

7.  PPARGC1B gene is associated with Kashin-Beck disease in Han Chinese.

Authors:  Yan Wen; Jingcan Hao; Xiao Xiao; Wenyu Wang; Xiong Guo; Weimin Lin; Tielin Yang; Xiaogang Liu; Hui Shen; Lijun Tan; Xiangding Chen; Qing Tian; Hong-Wen Deng; Feng Zhang
Journal:  Funct Integr Genomics       Date:  2016-04-23       Impact factor: 3.410

8.  Integrative analysis of genome-wide association studies and gene expression profiles identified candidate genes for osteoporosis in Kashin-Beck disease patients.

Authors:  Y Wen; X Guo; J Hao; X Xiao; W Wang; C Wu; S Wang; T Yang; H Shen; X Chen; L Tan; Q Tian; H-W Deng; F Zhang
Journal:  Osteoporos Int       Date:  2015-10-13       Impact factor: 4.507

9.  Using extreme phenotype sampling to identify the rare causal variants of quantitative traits in association studies.

Authors:  Dalin Li; Juan Pablo Lewinger; William J Gauderman; Cassandra Elizabeth Murcray; David Conti
Journal:  Genet Epidemiol       Date:  2011-09-15       Impact factor: 2.135

10.  Power of selective genotyping in genome-wide association studies of quantitative traits.

Authors:  Chao Xing; Guan Xing
Journal:  BMC Proc       Date:  2009-12-15
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