Literature DB >> 21572586

Finding Quantitative Trait Loci Genes with Collaborative Targeted Maximum Likelihood Learning.

Hui Wang1, Sherri Rose, Mark J van der Laan.   

Abstract

Quantitative trait loci mapping is focused on identifying the positions and effect of genes underlying an an observed trait. We present a collaborative targeted maximum likelihood estimator in a semi-parametric model using a newly proposed 2-part super learning algorithm to find quantitative trait loci genes in listeria data. Results are compared to the parametric composite interval mapping approach.

Entities:  

Year:  2011        PMID： 21572586      PMCID： PMC3090625          DOI： 10.1016/j.spl.2010.11.001

Source DB:  PubMed          Journal:  Stat Probab Lett        ISSN： 0167-7152            Impact factor:   0.870


  8 in total

1.  Collaborative double robust targeted maximum likelihood estimation.

Authors:  Mark J van der Laan; Susan Gruber
Journal:  Int J Biostat       Date:  2010-05-17       Impact factor: 0.968

2.  Deletion/substitution/addition algorithm in learning with applications in genomics.

Authors:  Sandra E Sinisi; Mark J van der Laan
Journal:  Stat Appl Genet Mol Biol       Date:  2004-08-12

3.  A simple regression method for mapping quantitative trait loci in line crosses using flanking markers.

Authors:  C S Haley; S A Knott
Journal:  Heredity (Edinb)       Date:  1992-10       Impact factor: 3.821

4.  Super learner.

Authors:  Mark J van der Laan; Eric C Polley; Alan E Hubbard
Journal:  Stat Appl Genet Mol Biol       Date:  2007-09-16

5.  Multigenic control of Listeria monocytogenes susceptibility in mice.

Authors:  V L Boyartchuk; K W Broman; R E Mosher; S E D'Orazio; M N Starnbach; W F Dietrich
Journal:  Nat Genet       Date:  2001-03       Impact factor: 38.330

6.  Interval mapping of multiple quantitative trait loci.

Authors:  R C Jansen
Journal:  Genetics       Date:  1993-09       Impact factor: 4.562

7.  Precision mapping of quantitative trait loci.

Authors:  Z B Zeng
Journal:  Genetics       Date:  1994-04       Impact factor: 4.562

8.  Mapping quantitative trait loci in the case of a spike in the phenotype distribution.

Authors:  Karl W Broman
Journal:  Genetics       Date:  2003-03       Impact factor: 4.562
  8 in total
  5 in total

1.  A double robust approach to causal effects in case-control studies.

Authors:  Sherri Rose; Mark van der Laan
Journal:  Am J Epidemiol       Date:  2014-01-31       Impact factor: 4.897

2.  A novel targeted learning method for quantitative trait loci mapping.

Authors:  Hui Wang; Zhongyang Zhang; Sherri Rose; Mark van der Laan
Journal:  Genetics       Date:  2014-09-24       Impact factor: 4.562

3.  Robust Machine Learning Variable Importance Analyses of Medical Conditions for Health Care Spending.

Authors:  Sherri Rose
Journal:  Health Serv Res       Date:  2018-03-11       Impact factor: 3.402

4.  Scalable collaborative targeted learning for high-dimensional data.

Authors:  Cheng Ju; Susan Gruber; Samuel D Lendle; Antoine Chambaz; Jessica M Franklin; Richard Wyss; Sebastian Schneeweiss; Mark J van der Laan
Journal:  Stat Methods Med Res       Date:  2017-09-22       Impact factor: 3.021

5.  Small-Magnitude Effect Sizes in Epigenetic End Points are Important in Children's Environmental Health Studies: The Children's Environmental Health and Disease Prevention Research Center's Epigenetics Working Group.

Authors:  Carrie V Breton; Carmen J Marsit; Elaine Faustman; Kari Nadeau; Jaclyn M Goodrich; Dana C Dolinoy; Julie Herbstman; Nina Holland; Janine M LaSalle; Rebecca Schmidt; Paul Yousefi; Frederica Perera; Bonnie R Joubert; Joseph Wiemels; Michele Taylor; Ivana V Yang; Rui Chen; Kinjal M Hew; Deborah M Hussey Freeland; Rachel Miller; Susan K Murphy
Journal:  Environ Health Perspect       Date:  2017-03-31       Impact factor: 9.031
  5 in total

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