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Items: 1 to 20 of 87

1.

Imputing missing genotypes with weighted k nearest neighbors.

Schwender H.

J Toxicol Environ Health A. 2012;75(8-10):438-46. doi: 10.1080/15287394.2012.674910.

PMID:
22686303
2.

Accuracy of genome-wide imputation of untyped markers and impacts on statistical power for association studies.

Hao K, Chudin E, McElwee J, Schadt EE.

BMC Genet. 2009 Jun 16;10:27. doi: 10.1186/1471-2156-10-27.

3.

Genome-wide association of breast cancer: composite likelihood with imputed genotypes.

Politopoulos I, Gibson J, Tapper W, Ennis S, Eccles D, Collins A.

Eur J Hum Genet. 2011 Feb;19(2):194-9. doi: 10.1038/ejhg.2010.157. Epub 2010 Oct 20.

4.

The use of family relationships and linkage disequilibrium to impute phase and missing genotypes in up to whole-genome sequence density genotypic data.

Meuwissen T, Goddard M.

Genetics. 2010 Aug;185(4):1441-9. doi: 10.1534/genetics.110.113936. Epub 2010 May 17.

5.

Identification of SNP interactions using logic regression.

Schwender H, Ickstadt K.

Biostatistics. 2008 Jan;9(1):187-98. Epub 2007 Jun 19.

6.

A comprehensive evaluation of SNP genotype imputation.

Nothnagel M, Ellinghaus D, Schreiber S, Krawczak M, Franke A.

Hum Genet. 2009 Mar;125(2):163-71. doi: 10.1007/s00439-008-0606-5. Epub 2008 Dec 17.

PMID:
19089453
7.

Collateral missing value imputation: a new robust missing value estimation algorithm for microarray data.

Sehgal MS, Gondal I, Dooley LS.

Bioinformatics. 2005 May 15;21(10):2417-23. Epub 2005 Feb 24.

8.

Imputing missing genotypic data of single-nucleotide polymorphisms using neural networks.

Sun YV, Kardia SL.

Eur J Hum Genet. 2008 Apr;16(4):487-95. doi: 10.1038/sj.ejhg.5201988. Epub 2008 Jan 16.

9.

Accuracy of genotype imputation in sheep breeds.

Hayes BJ, Bowman PJ, Daetwyler HD, Kijas JW, van der Werf JH.

Anim Genet. 2012 Feb;43(1):72-80. doi: 10.1111/j.1365-2052.2011.02208.x. Epub 2011 May 27.

PMID:
22221027
10.

Two-pass imputation algorithm for missing value estimation in gene expression time series.

Tsiporkova E, Boeva V.

J Bioinform Comput Biol. 2007 Oct;5(5):1005-22.

PMID:
17933008
11.

Methods to impute missing genotypes for population data.

Yu Z, Schaid DJ.

Hum Genet. 2007 Dec;122(5):495-504. Epub 2007 Sep 13.

PMID:
17851696
12.

Detecting high-order interactions of single nucleotide polymorphisms using genetic programming.

Nunkesser R, Bernholt T, Schwender H, Ickstadt K, Wegener I.

Bioinformatics. 2007 Dec 15;23(24):3280-8. Epub 2007 Nov 15.

13.

Evaluation of potential power gain with imputed genotypes in genome-wide association studies.

Becker T, Flaquer A, Brockschmidt FF, Herold C, Steffens M.

Hum Hered. 2009;68(1):23-34. doi: 10.1159/000210446. Epub 2009 Apr 1.

PMID:
19339783
14.

Imputation of missing single nucleotide polymorphism genotypes using a multivariate mixed model framework.

Calus MP, Veerkamp RF, Mulder HA.

J Anim Sci. 2011 Jul;89(7):2042-9. doi: 10.2527/jas.2010-3297. Epub 2011 Feb 25.

15.

SNiPer-HD: improved genotype calling accuracy by an expectation-maximization algorithm for high-density SNP arrays.

Hua J, Craig DW, Brun M, Webster J, Zismann V, Tembe W, Joshipura K, Huentelman MJ, Dougherty ER, Stephan DA.

Bioinformatics. 2007 Jan 1;23(1):57-63. Epub 2006 Oct 24.

16.

Inferring missing genotypes in large SNP panels using fast nearest-neighbor searches over sliding windows.

Roberts A, McMillan L, Wang W, Parker J, Rusyn I, Threadgill D.

Bioinformatics. 2007 Jul 1;23(13):i401-7.

17.

Imputation of missing genotypes from sparse to high density using long-range phasing.

Daetwyler HD, Wiggans GR, Hayes BJ, Woolliams JA, Goddard ME.

Genetics. 2011 Sep;189(1):317-27. doi: 10.1534/genetics.111.128082. Epub 2011 Jul 29.

18.

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

Lin DY, Hu Y, Huang BE.

Am J Hum Genet. 2008 Feb;82(2):444-52. doi: 10.1016/j.ajhg.2007.11.004.

19.

Family-based association tests for genomewide association scans.

Chen WM, Abecasis GR.

Am J Hum Genet. 2007 Nov;81(5):913-26. Epub 2007 Sep 18.

20.

How to link call rate and p-values for Hardy-Weinberg equilibrium as measures of genome-wide SNP data quality.

Finner H, Strassburger K, Heid IM, Herder C, Rathmann W, Giani G, Dickhaus T, Lichtner P, Meitinger T, Wichmann HE, Illig T, Gieger C.

Stat Med. 2010 Sep 30;29(22):2347-58. doi: 10.1002/sim.4004.

PMID:
20641143
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