Correcting for cell-type heterogeneity in DNA methylation: a comprehensive evaluation

Elior Rahmani^{1

2

3}, Noah Zaitlen², Yael Baran³, Celeste Eng², Donglei Hu², Joshua Galanter^{2

4

5}, Sam Oh², Esteban G Burchard^{2

4}, Eleazar Eskin^{6

7}, James Zou⁸, Eran Halperin^{6

9}

Affiliations

¹ Blavatnik School of Computer Science, Tel-Aviv University, Tel Aviv, Israel.
² Department of Medicine, University of California, San Francisco, San Francisco, California, USA.
³ Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel.
⁴ Department of Bioengineering and Therapeutic Science, University of California, San Francisco, San Francisco, California, USA.
⁵ Genentech, South San Francisco, California, USA.
⁶ Department of Computer Science, University of California, Los Angeles, Los Angeles, California, USA.
⁷ Department of Human Genetics, University of California, Los Angeles, Los Angeles, California, USA.
⁸ Department of Biomedical Data Science, Stanford University, Palo Alto, California, USA.
⁹ Department of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, Los Angeles, California, USA.

Comment

Elior Rahmani et al. Nat Methods. 2017.

. 2017 Feb 28;14(3):218-219.

doi: 10.1038/nmeth.4190.

¹ Blavatnik School of Computer Science, Tel-Aviv University, Tel Aviv, Israel.
² Department of Medicine, University of California, San Francisco, San Francisco, California, USA.
³ Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel.
⁴ Department of Bioengineering and Therapeutic Science, University of California, San Francisco, San Francisco, California, USA.
⁵ Genentech, South San Francisco, California, USA.
⁶ Department of Computer Science, University of California, Los Angeles, Los Angeles, California, USA.
⁷ Department of Human Genetics, University of California, Los Angeles, Los Angeles, California, USA.
⁸ Department of Biomedical Data Science, Stanford University, Palo Alto, California, USA.
⁹ Department of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, Los Angeles, California, USA.

No abstract available

Comment in

Editor's note on Zheng et al. and Rahmani et al.
[No authors listed] [No authors listed] Nat Methods. 2017 Feb 28;14(3):219. doi: 10.1038/nmeth.4208. Nat Methods. 2017. PMID: 28245216 No abstract available.

Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies.
Rahmani E, Zaitlen N, Baran Y, Eng C, Hu D, Galanter J, Oh S, Burchard EG, Eskin E, Zou J, Halperin E. Rahmani E, et al. Nat Methods. 2016 May;13(5):443-5. doi: 10.1038/nmeth.3809. Epub 2016 Mar 28. Nat Methods. 2016. PMID: 27018579 Free PMC article.
Correcting for cell-type heterogeneity in epigenome-wide association studies: revisiting previous analyses.
Zheng SC, Beck S, Jaffe AE, Koestler DC, Hansen KD, Houseman AE, Irizarry RA, Teschendorff AE. Zheng SC, et al. Nat Methods. 2017 Feb 28;14(3):216-217. doi: 10.1038/nmeth.4187. Nat Methods. 2017. PMID: 28245219 Free PMC article. No abstract available.