He Z - Search Results

1

Genome-wide analysis of common and rare variants via multiple knockoffs at biobank scale, with an application to Alzheimer disease genetics.

He Z, Le Guen Y, Liu L, Lee J, Ma S, Yang AC, Liu X, Rutledge J, Losada PM, Song B, Belloy ME, Butler RR 3rd, Longo FM, Tang H, Mormino EC, Wyss-Coray T, Greicius MD, Ionita-Laza I. He Z, et al. Am J Hum Genet. 2021 Dec 2;108(12):2336-2353. doi: 10.1016/j.ajhg.2021.10.009. Epub 2021 Nov 11. Am J Hum Genet. 2021. PMID: 34767756 Free PMC article.

2

Unified Sequence-Based Association Tests Allowing for Multiple Functional Annotations and Meta-analysis of Noncoding Variation in Metabochip Data.

He Z, Xu B, Lee S, Ionita-Laza I. He Z, et al. Am J Hum Genet. 2017 Sep 7;101(3):340-352. doi: 10.1016/j.ajhg.2017.07.011. Epub 2017 Aug 24. Am J Hum Genet. 2017. PMID: 28844485 Free PMC article.

3

Rare-variant association tests in longitudinal studies, with an application to the Multi-Ethnic Study of Atherosclerosis (MESA).

He Z, Lee S, Zhang M, Smith JA, Guo X, Palmas W, Kardia SLR, Ionita-Laza I, Mukherjee B. He Z, et al. Genet Epidemiol. 2017 Dec;41(8):801-810. doi: 10.1002/gepi.22081. Epub 2017 Oct 27. Genet Epidemiol. 2017. PMID: 29076270 Free PMC article.

4

FUN-LDA: A Latent Dirichlet Allocation Model for Predicting Tissue-Specific Functional Effects of Noncoding Variation: Methods and Applications.

Backenroth D, He Z, Kiryluk K, Boeva V, Pethukova L, Khurana E, Christiano A, Buxbaum JD, Ionita-Laza I. Backenroth D, et al. Among authors: he z. Am J Hum Genet. 2018 May 3;102(5):920-942. doi: 10.1016/j.ajhg.2018.03.026. Am J Hum Genet. 2018. PMID: 29727691 Free PMC article.

5

Detecting Rare Mutations with Heterogeneous Effects Using a Family-Based Genetic Random Field Method.

Li M, He Z, Tong X, Witte JS, Lu Q. Li M, et al. Among authors: he z. Genetics. 2018 Oct;210(2):463-476. doi: 10.1534/genetics.118.301266. Epub 2018 Aug 13. Genetics. 2018. PMID: 30104420 Free PMC article.

6

A semi-supervised approach for predicting cell-type specific functional consequences of non-coding variation using MPRAs.

He Z, Liu L, Wang K, Ionita-Laza I. He Z, et al. Nat Commun. 2018 Dec 5;9(1):5199. doi: 10.1038/s41467-018-07349-w. Nat Commun. 2018. PMID: 30518757 Free PMC article.

7

A genome-wide scan statistic framework for whole-genome sequence data analysis.

He Z, Xu B, Buxbaum J, Ionita-Laza I. He Z, et al. Nat Commun. 2019 Jul 9;10(1):3018. doi: 10.1038/s41467-019-11023-0. Nat Commun. 2019. PMID: 31289270 Free PMC article.

8

KL∗VS heterozygosity reduces brain amyloid in asymptomatic at-risk APOE∗4 carriers.

Belloy ME, Eger SJ, Le Guen Y, Napolioni V, Deters KD, Yang HS, Scelsi MA, Porter T, James SN, Wong A, Schott JM, Sperling RA, Laws SM, Mormino EC, He Z, Han SS, Altmann A, Greicius MD; A4 Study Team; Insight 46 Study Team; Australian Imaging Biomarkers and Lifestyle (AIBL) Study; Alzheimer's Disease Neuroimaging Initiative. Belloy ME, et al. Among authors: he z. Neurobiol Aging. 2021 May;101:123-129. doi: 10.1016/j.neurobiolaging.2021.01.008. Epub 2021 Jan 23. Neurobiol Aging. 2021. PMID: 33610961 Free PMC article.

9

A novel age-informed approach for genetic association analysis in Alzheimer's disease.

Le Guen Y, Belloy ME, Napolioni V, Eger SJ, Kennedy G, Tao R, He Z, Greicius MD; Alzheimer’s Disease Neuroimaging Initiative. Le Guen Y, et al. Among authors: he z. Alzheimers Res Ther. 2021 Apr 1;13(1):72. doi: 10.1186/s13195-021-00808-5. Alzheimers Res Ther. 2021. PMID: 33794991 Free PMC article.

10

Identification of putative causal loci in whole-genome sequencing data via knockoff statistics.

He Z, Liu L, Wang C, Le Guen Y, Lee J, Gogarten S, Lu F, Montgomery S, Tang H, Silverman EK, Cho MH, Greicius M, Ionita-Laza I. He Z, et al. Nat Commun. 2021 May 25;12(1):3152. doi: 10.1038/s41467-021-22889-4. Nat Commun. 2021. PMID: 34035245 Free PMC article.

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