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Literature DB >> 12154779

Regression-based quantitative-trait-locus mapping in the 21st century.

Eleanor Feingold.

Abstract

Mesh：

Year: 2002 PMID： 12154779 PMCID： PMC379155 DOI： 10.1086/341964

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

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19 in total

1. Transformation of sib-pair values for the Haseman-Elston method.

Authors: D Wang; S Lin; R Cheng; X Gao; F A Wright
Journal: Am J Hum Genet Date: 2001-04-17 Impact factor: 11.025

2. Haseman and Elston revisited.

Authors: R C Elston; S Buxbaum; K B Jacobs; J M Olson
Journal: Genet Epidemiol Date: 2000-07 Impact factor: 2.135

3. Haseman and Elston revisited: the effects of ascertainment and residual familial correlations on power to detect linkage.

Authors: L J Palmer; K B Jacobs; R C Elston
Journal: Genet Epidemiol Date: 2000-12 Impact factor: 2.135

4. Score test for detecting linkage to quantitative traits.

Authors: H Putter; L A Sandkuijl; J C van Houwelingen
Journal: Genet Epidemiol Date: 2002-04 Impact factor: 2.135

Review 5. Methods for linkage analysis of quantitative trait loci in humans.

Authors: E Feingold
Journal: Theor Popul Biol Date: 2001-11 Impact factor: 1.570

6. Equivalence between Haseman-Elston and variance-components linkage analyses for sib pairs.

Authors: P C Sham; S Purcell
Journal: Am J Hum Genet Date: 2001-05-14 Impact factor: 11.025

7. Mapping quantitative trait loci in oligogenic models.

Authors: H K Tang; D Siegmund
Journal: Biostatistics Date: 2001-06 Impact factor: 5.899

8. The phenotypic difference discards sib-pair QTL linkage information.

Authors: F A Wright
Journal: Am J Hum Genet Date: 1997-03 Impact factor: 11.025

9. Robust variance-components approach for assessing genetic linkage in pedigrees.

Authors: C I Amos
Journal: Am J Hum Genet Date: 1994-03 Impact factor: 11.025

10. The investigation of linkage between a quantitative trait and a marker locus.

Authors: J K Haseman; R C Elston
Journal: Behav Genet Date: 1972-03 Impact factor: 2.805

17 in total

1. Theoretical and empirical power of regression and maximum-likelihood methods to map quantitative trait loci in general pedigrees.

Authors: Xijiang Yu; Sara A Knott; Peter M Visscher
Journal: Am J Hum Genet Date: 2004-05-19 Impact factor: 11.025

2. Mapping quantitative traits with random and with ascertained sibships.

Authors: Jie Peng; D Siegmund
Journal: Proc Natl Acad Sci U S A Date: 2004-04-14 Impact factor: 11.205

3. Implications of using genomic prediction within a high-density SNP dataset to predict DUS traits in barley.

Authors: Huw Jones; Ian Mackay
Journal: Theor Appl Genet Date: 2015-09-08 Impact factor: 5.699

4. A powerful and robust method for mapping quantitative trait loci in general pedigrees.

Authors: G Diao; D Y Lin
Journal: Am J Hum Genet Date: 2005-05-25 Impact factor: 11.025

5. An empirical Bayes method for updating inferences in analysis of quantitative trait loci using information from related genome scans.

Authors: Kui Zhang; Howard Wiener; Mark Beasley; Varghese George; Christopher I Amos; David B Allison
Journal: Genetics Date: 2006-06-04 Impact factor: 4.562