He X - Search Results

1

Mendelian randomization accounting for correlated and uncorrelated pleiotropic effects using genome-wide summary statistics.

Morrison J, Knoblauch N, Marcus JH, Stephens M, He X. Morrison J, et al. Among authors: he x. Nat Genet. 2020 Jul;52(7):740-747. doi: 10.1038/s41588-020-0631-4. Epub 2020 May 25. Nat Genet. 2020. PMID: 32451458 Free PMC article.

2

An analytical framework for whole-genome sequence association studies and its implications for autism spectrum disorder.

Werling DM, Brand H, An JY, Stone MR, Zhu L, Glessner JT, Collins RL, Dong S, Layer RM, Markenscoff-Papadimitriou E, Farrell A, Schwartz GB, Wang HZ, Currall BB, Zhao X, Dea J, Duhn C, Erdman CA, Gilson MC, Yadav R, Handsaker RE, Kashin S, Klei L, Mandell JD, Nowakowski TJ, Liu Y, Pochareddy S, Smith L, Walker MF, Waterman MJ, He X, Kriegstein AR, Rubenstein JL, Sestan N, McCarroll SA, Neale BM, Coon H, Willsey AJ, Buxbaum JD, Daly MJ, State MW, Quinlan AR, Marth GT, Roeder K, Devlin B, Talkowski ME, Sanders SJ. Werling DM, et al. Among authors: he x. Nat Genet. 2018 Apr 26;50(5):727-736. doi: 10.1038/s41588-018-0107-y. Nat Genet. 2018. PMID: 29700473 Free PMC article.

3

A Statistical Framework for Mapping Risk Genes from De Novo Mutations in Whole-Genome-Sequencing Studies.

Liu Y, Liang Y, Cicek AE, Li Z, Li J, Muhle RA, Krenzer M, Mei Y, Wang Y, Knoblauch N, Morrison J, Zhao S, Jiang Y, Geller E, Ionita-Laza I, Wu J, Xia K, Noonan JP, Sun ZS, He X. Liu Y, et al. Among authors: he x. Am J Hum Genet. 2018 Jun 7;102(6):1031-1047. doi: 10.1016/j.ajhg.2018.03.023. Epub 2018 May 10. Am J Hum Genet. 2018. PMID: 29754769 Free PMC article.

4

Detailed modeling of positive selection improves detection of cancer driver genes.

Zhao S, Liu J, Nanga P, Liu Y, Cicek AE, Knoblauch N, He C, Stephens M, He X. Zhao S, et al. Among authors: he c, he x. Nat Commun. 2019 Jul 30;10(1):3399. doi: 10.1038/s41467-019-11284-9. Nat Commun. 2019. PMID: 31363082 Free PMC article.

5

Publisher Correction: Mendelian randomization accounting for correlated and uncorrelated pleiotropic effects using genome-wide summary statistics.

Morrison J, Knoblauch N, Marcus JH, Stephens M, He X. Morrison J, et al. Among authors: he x. Nat Genet. 2020 Jul;52(7):750. doi: 10.1038/s41588-020-0655-9. Nat Genet. 2020. PMID: 32472065

6

Genetic analyses support the contribution of mRNA N⁶-methyladenosine (m⁶A) modification to human disease heritability.

Zhang Z, Luo K, Zou Z, Qiu M, Tian J, Sieh L, Shi H, Zou Y, Wang G, Morrison J, Zhu AC, Qiao M, Li Z, Stephens M, He X, He C. Zhang Z, et al. Among authors: he c, he x. Nat Genet. 2020 Sep;52(9):939-949. doi: 10.1038/s41588-020-0644-z. Epub 2020 Jun 29. Nat Genet. 2020. PMID: 32601472 Free PMC article.

7

Primo: integration of multiple GWAS and omics QTL summary statistics for elucidation of molecular mechanisms of trait-associated SNPs and detection of pleiotropy in complex traits.

Gleason KJ, Yang F, Pierce BL, He X, Chen LS. Gleason KJ, et al. Among authors: he x. Genome Biol. 2020 Sep 11;21(1):236. doi: 10.1186/s13059-020-02125-w. Genome Biol. 2020. PMID: 32912334 Free PMC article.

8

Transcriptome and regulatory maps of decidua-derived stromal cells inform gene discovery in preterm birth.

Sakabe NJ, Aneas I, Knoblauch N, Sobreira DR, Clark N, Paz C, Horth C, Ziffra R, Kaur H, Liu X, Anderson R, Morrison J, Cheung VC, Grotegut C, Reddy TE, Jacobsson B, Hallman M, Teramo K, Murtha A, Kessler J, Grobman W, Zhang G, Muglia LJ, Rana S, Lynch VJ, Crawford GE, Ober C, He X, Nóbrega MA. Sakabe NJ, et al. Among authors: he x. Sci Adv. 2020 Dec 2;6(49):eabc8696. doi: 10.1126/sciadv.abc8696. Print 2020 Dec. Sci Adv. 2020. PMID: 33268355 Free PMC article.

9

A functional genomics pipeline identifies pleiotropy and cross-tissue effects within obesity-associated GWAS loci.

Joslin AC, Sobreira DR, Hansen GT, Sakabe NJ, Aneas I, Montefiori LE, Farris KM, Gu J, Lehman DM, Ober C, He X, Nóbrega MA. Joslin AC, et al. Among authors: he x. Nat Commun. 2021 Sep 6;12(1):5253. doi: 10.1038/s41467-021-25614-3. Nat Commun. 2021. PMID: 34489471 Free PMC article.

10

A new Bayesian factor analysis method improves detection of genes and biological processes affected by perturbations in single-cell CRISPR screening.

Zhou Y, Luo K, Liang L, Chen M, He X. Zhou Y, et al. Among authors: he x. Nat Methods. 2023 Nov;20(11):1693-1703. doi: 10.1038/s41592-023-02017-4. Epub 2023 Sep 28. Nat Methods. 2023. PMID: 37770710 Free PMC article.

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