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Results: 1 to 20 of 161

Similar articles for PubMed (Select 23740760)

1.

Haplotype kernel association test as a powerful method to identify chromosomal regions harboring uncommon causal variants.

Lin WY, Yi N, Lou XY, Zhi D, Zhang K, Gao G, Tiwari HK, Liu N.

Genet Epidemiol. 2013 Sep;37(6):560-70. doi: 10.1002/gepi.21740. Epub 2013 Jun 5.

2.

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

Lin WY, Yi N, Zhi D, Zhang K, Gao G, Tiwari HK, Liu N.

Genet Epidemiol. 2012 Sep;36(6):572-82. doi: 10.1002/gepi.21650. Epub 2012 Jun 15.

3.

Comparison of multimarker logistic regression models, with application to a genomewide scan of schizophrenia.

Wason JM, Dudbridge F.

BMC Genet. 2010 Sep 9;11:80. doi: 10.1186/1471-2156-11-80.

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Detection of common single nucleotide polymorphisms synthesizing quantitative trait association of rarer causal variants.

Takeuchi F, Kobayashi S, Ogihara T, Fujioka A, Kato N.

Genome Res. 2011 Jul;21(7):1122-30. doi: 10.1101/gr.115832.110. Epub 2011 Mar 25.

6.

Similarity in recombination rate and linkage disequilibrium at CYP2C and CYP2D cytochrome P450 gene regions among Europeans indicates signs of selection and no advantage of using tagSNPs in population isolates.

Pimenoff VN, Laval G, Comas D, Palo JU, Gut I, Cann H, Excoffier L, Sajantila A.

Pharmacogenet Genomics. 2012 Dec;22(12):846-57. doi: 10.1097/FPC.0b013e32835a3a6d.

PMID:
23089684
7.

ATRIUM: testing untyped SNPs in case-control association studies with related individuals.

Wang Z, McPeek MS.

Am J Hum Genet. 2009 Nov;85(5):667-78. doi: 10.1016/j.ajhg.2009.10.006.

8.

Weighted SNP set analysis in genome-wide association study.

Dai H, Zhao Y, Qian C, Cai M, Zhang R, Chu M, Dai J, Hu Z, Shen H, Chen F.

PLoS One. 2013 Sep 30;8(9):e75897. doi: 10.1371/journal.pone.0075897. eCollection 2013.

9.

Interpretation of association signals and identification of causal variants from genome-wide association studies.

Wang K, Dickson SP, Stolle CA, Krantz ID, Goldstein DB, Hakonarson H.

Am J Hum Genet. 2010 May 14;86(5):730-42. doi: 10.1016/j.ajhg.2010.04.003. Epub 2010 Apr 29.

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Two-stage extreme phenotype sequencing design for discovering and testing common and rare genetic variants: efficiency and power.

Kang G, Lin D, Hakonarson H, Chen J.

Hum Hered. 2012;73(3):139-47. doi: 10.1159/000337300. Epub 2012 Jun 7.

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Characterization of common genetic variants in cathepsin K and testing for association with bone mineral density in a large cohort of perimenopausal women from Scotland.

Giraudeau FS, McGinnis RE, Gray IC, O'Brien EJ, Doncaster KE, Spurr NK, Ralston SH, Reid DM, Wood J.

J Bone Miner Res. 2004 Jan;19(1):31-41.

PMID:
14753734
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17.

Testing untyped alleles (TUNA)-applications to genome-wide association studies.

Nicolae DL.

Genet Epidemiol. 2006 Dec;30(8):718-27.

PMID:
16986160
18.

Implication of next-generation sequencing on association studies.

Siu H, Zhu Y, Jin L, Xiong M.

BMC Genomics. 2011 Jun 17;12:322. doi: 10.1186/1471-2164-12-322.

19.

Common SNPs explain a large proportion of the heritability for human height.

Yang J, Benyamin B, McEvoy BP, Gordon S, Henders AK, Nyholt DR, Madden PA, Heath AC, Martin NG, Montgomery GW, Goddard ME, Visscher PM.

Nat Genet. 2010 Jul;42(7):565-9. doi: 10.1038/ng.608. Epub 2010 Jun 20.

20.

A systematic search for SNPs/haplotypes associated with disease phenotypes using a haplotype-based stepwise procedure.

Yang Y, Li SS, Chien JW, Andriesen J, Zhao LP.

BMC Genet. 2008 Dec 22;9:90. doi: 10.1186/1471-2156-9-90.

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