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Items: 14

1.

An evolutionary compass for detecting signals of polygenic selection and mutational bias.

Uricchio LH, Kitano HC, Gusev A, Zaitlen NA.

Evol Lett. 2019 Jan 25;3(1):69-79. doi: 10.1002/evl3.97. eCollection 2019 Feb.

2.

Mixed Model Association with Family-Biased Case-Control Ascertainment.

Hayeck TJ, Loh PR, Pollack S, Gusev A, Patterson N, Zaitlen NA, Price AL.

Am J Hum Genet. 2017 Jan 5;100(1):31-39. doi: 10.1016/j.ajhg.2016.11.015. Epub 2016 Dec 22.

3.

Selection and explosive growth alter genetic architecture and hamper the detection of causal rare variants.

Uricchio LH, Zaitlen NA, Ye CJ, Witte JS, Hernandez RD.

Genome Res. 2016 Jul;26(7):863-73. doi: 10.1101/gr.202440.115. Epub 2016 May 18.

4.

The landscape of genomic imprinting across diverse adult human tissues.

Baran Y, Subramaniam M, Biton A, Tukiainen T, Tsang EK, Rivas MA, Pirinen M, Gutierrez-Arcelus M, Smith KS, Kukurba KR, Zhang R, Eng C, Torgerson DG, Urbanek C; GTEx Consortium, Li JB, Rodriguez-Santana JR, Burchard EG, Seibold MA, MacArthur DG, Montgomery SB, Zaitlen NA, Lappalainen T.

Genome Res. 2015 Jul;25(7):927-36. doi: 10.1101/gr.192278.115. Epub 2015 May 7.

5.

Mixed model with correction for case-control ascertainment increases association power.

Hayeck TJ, Zaitlen NA, Loh PR, Vilhjalmsson B, Pollack S, Gusev A, Yang J, Chen GB, Goddard ME, Visscher PM, Patterson N, Price AL.

Am J Hum Genet. 2015 May 7;96(5):720-30. doi: 10.1016/j.ajhg.2015.03.004. Epub 2015 Apr 16.

6.

Assessing allele-specific expression across multiple tissues from RNA-seq read data.

Pirinen M, Lappalainen T, Zaitlen NA; GTEx Consortium, Dermitzakis ET, Donnelly P, McCarthy MI, Rivas MA.

Bioinformatics. 2015 Aug 1;31(15):2497-504. doi: 10.1093/bioinformatics/btv074. Epub 2015 Mar 27.

7.

Advantages and pitfalls in the application of mixed-model association methods.

Yang J, Zaitlen NA, Goddard ME, Visscher PM, Price AL.

Nat Genet. 2014 Feb;46(2):100-6. doi: 10.1038/ng.2876.

8.

Response to Sul and Eskin.

Price AL, Zaitlen NA, Reich D, Patterson N.

Nat Rev Genet. 2013 Apr;14(4):300. doi: 10.1038/nrg2813-c2. Epub 2013 Feb 26. No abstract available.

9.

New approaches to population stratification in genome-wide association studies.

Price AL, Zaitlen NA, Reich D, Patterson N.

Nat Rev Genet. 2010 Jul;11(7):459-63. doi: 10.1038/nrg2813. Review.

10.

EMINIM: an adaptive and memory-efficient algorithm for genotype imputation.

Kang HM, Zaitlen NA, Eskin E.

J Comput Biol. 2010 Mar;17(3):547-60. doi: 10.1089/cmb.2009.0199.

11.

Variance component model to account for sample structure in genome-wide association studies.

Kang HM, Sul JH, Service SK, Zaitlen NA, Kong SY, Freimer NB, Sabatti C, Eskin E.

Nat Genet. 2010 Apr;42(4):348-54. doi: 10.1038/ng.548. Epub 2010 Mar 7.

12.

Genome-wide association analysis of metabolic traits in a birth cohort from a founder population.

Sabatti C, Service SK, Hartikainen AL, Pouta A, Ripatti S, Brodsky J, Jones CG, Zaitlen NA, Varilo T, Kaakinen M, Sovio U, Ruokonen A, Laitinen J, Jakkula E, Coin L, Hoggart C, Collins A, Turunen H, Gabriel S, Elliot P, McCarthy MI, Daly MJ, Järvelin MR, Freimer NB, Peltonen L.

Nat Genet. 2009 Jan;41(1):35-46. doi: 10.1038/ng.271. Epub 2008 Dec 7.

13.

Efficient control of population structure in model organism association mapping.

Kang HM, Zaitlen NA, Wade CM, Kirby A, Heckerman D, Daly MJ, Eskin E.

Genetics. 2008 Mar;178(3):1709-23. doi: 10.1534/genetics.107.080101.

14.

Inference and analysis of haplotypes from combined genotyping studies deposited in dbSNP.

Zaitlen NA, Kang HM, Feolo ML, Sherry ST, Halperin E, Eskin E.

Genome Res. 2005 Nov;15(11):1594-600.

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