Literature DB >> 17380613

The use of inferred haplotypes in downstream analyses.

D Y Lin, B E Huang.   

Abstract

Mesh:

Year:  2007        PMID: 17380613      PMCID: PMC1821109          DOI: 10.1086/512201

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


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  10 in total

1.  Score tests for association between traits and haplotypes when linkage phase is ambiguous.

Authors:  Daniel J Schaid; Charles M Rowland; David E Tines; Robert M Jacobson; Gregory A Poland
Journal:  Am J Hum Genet       Date:  2001-12-27       Impact factor: 11.025

2.  Accuracy of haplotype frequency estimation for biallelic loci, via the expectation-maximization algorithm for unphased diploid genotype data.

Authors:  D Fallin; N J Schork
Journal:  Am J Hum Genet       Date:  2000-08-22       Impact factor: 11.025

3.  Inference on haplotype effects in case-control studies using unphased genotype data.

Authors:  Michael P Epstein; Glen A Satten
Journal:  Am J Hum Genet       Date:  2003-11-20       Impact factor: 11.025

4.  Little loss of information due to unknown phase for fine-scale linkage-disequilibrium mapping with single-nucleotide-polymorphism genotype data.

Authors:  A P Morris; J C Whittaker; D J Balding
Journal:  Am J Hum Genet       Date:  2004-04-07       Impact factor: 11.025

5.  Accounting for haplotype uncertainty in matched association studies: a comparison of simple and flexible techniques.

Authors:  Peter Kraft; David G Cox; Randi A Paynter; David Hunter; Immaculata De Vivo
Journal:  Genet Epidemiol       Date:  2005-04       Impact factor: 2.135

6.  Analysis of case-control studies of genetic and environmental factors with missing genetic information and haplotype-phase ambiguity.

Authors:  Christine Spinka; Raymond J Carroll; Nilanjan Chatterjee
Journal:  Genet Epidemiol       Date:  2005-09       Impact factor: 2.135

7.  Simple estimates of haplotype relative risks in case-control data.

Authors:  Benjamin French; Thomas Lumley; Stephanie A Monks; Kenneth M Rice; Lucia A Hindorff; Alexander P Reiner; Bruce M Psaty
Journal:  Genet Epidemiol       Date:  2006-09       Impact factor: 2.135

8.  A comparison of phasing algorithms for trios and unrelated individuals.

Authors:  Jonathan Marchini; David Cutler; Nick Patterson; Matthew Stephens; Eleazar Eskin; Eran Halperin; Shin Lin; Zhaohui S Qin; Heather M Munro; Goncalo R Abecasis; Peter Donnelly
Journal:  Am J Hum Genet       Date:  2006-01-26       Impact factor: 11.025

9.  Estimation and testing of genotype and haplotype effects in case-control studies: comparison of weighted regression and multiple imputation procedures.

Authors:  Heather J Cordell
Journal:  Genet Epidemiol       Date:  2006-04       Impact factor: 2.135

10.  Maximum likelihood estimation of haplotype effects and haplotype-environment interactions in association studies.

Authors:  D Y Lin; D Zeng; R Millikan
Journal:  Genet Epidemiol       Date:  2005-12       Impact factor: 2.135

  10 in total
  23 in total

1.  A general framework for studying genetic effects and gene-environment interactions with missing data.

Authors:  Y J Hu; D Y Lin; D Zeng
Journal:  Biostatistics       Date:  2010-03-26       Impact factor: 5.899

2.  Comparison of haplotype-based statistical tests for disease association with rare and common variants.

Authors:  Ananda S Datta; Swati Biswas
Journal:  Brief Bioinform       Date:  2015-09-02       Impact factor: 11.622

3.  Critical Issues in the Inclusion of Genetic and Epigenetic Information in Prevention and Intervention Trials.

Authors:  Shawn J Latendresse; Rashelle Musci; Brion S Maher
Journal:  Prev Sci       Date:  2018-01

4.  Simple and efficient analysis of disease association with missing genotype data.

Authors:  D Y Lin; Y Hu; B E Huang
Journal:  Am J Hum Genet       Date:  2008-02       Impact factor: 11.025

5.  Re: the use of inferred haplotypes in downstream analysis.

Authors:  Peter Kraft; Daniel O Stram
Journal:  Am J Hum Genet       Date:  2007-10       Impact factor: 11.025

6.  Rapid and accurate haplotype phasing and missing-data inference for whole-genome association studies by use of localized haplotype clustering.

Authors:  Sharon R Browning; Brian L Browning
Journal:  Am J Hum Genet       Date:  2007-09-21       Impact factor: 11.025

7.  Genome-wide estimation of linkage disequilibrium from population-level high-throughput sequencing data.

Authors:  Takahiro Maruki; Michael Lynch
Journal:  Genetics       Date:  2014-05-28       Impact factor: 4.562

8.  The use of imputed values in the meta-analysis of genome-wide association studies.

Authors:  Shuo Jiao; Li Hsu; Carolyn M Hutter; Ulrike Peters
Journal:  Genet Epidemiol       Date:  2011-07-18       Impact factor: 2.135

9.  Haplotype-based methods for detecting uncommon causal variants with common SNPs.

Authors:  Wan-Yu Lin; Nengjun Yi; Degui Zhi; Kui Zhang; Guimin Gao; Hemant K Tiwari; Nianjun Liu
Journal:  Genet Epidemiol       Date:  2012-06-15       Impact factor: 2.135

10.  Improved IBD detection using incomplete haplotype information.

Authors:  Giulio Genovese; Gregory Leibon; Martin R Pollak; Daniel N Rockmore
Journal:  BMC Genet       Date:  2010-06-30       Impact factor: 2.797

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