Li H - Search Results

1

Genetic-Variation-Driven Gene-Expression Changes Highlight Genes with Important Functions for Kidney Disease.

Ko YA, Yi H, Qiu C, Huang S, Park J, Ledo N, Köttgen A, Li H, Rader DJ, Pack MA, Brown CD, Susztak K. Ko YA, et al. Among authors: li h. Am J Hum Genet. 2017 Jun 1;100(6):940-953. doi: 10.1016/j.ajhg.2017.05.004. Am J Hum Genet. 2017. PMID: 28575649 Free PMC article.

2

U-statistics-based tests for multiple genes in genetic association studies.

Wei Z, Li M, Rebbeck T, Li H. Wei Z, et al. Among authors: li h, li m. Ann Hum Genet. 2008 Nov;72(Pt 6):821-33. doi: 10.1111/j.1469-1809.2008.00473.x. Epub 2008 Aug 6. Ann Hum Genet. 2008. PMID: 18691161 Free PMC article.

3

Common variations in BARD1 influence susceptibility to high-risk neuroblastoma.

Capasso M, Devoto M, Hou C, Asgharzadeh S, Glessner JT, Attiyeh EF, Mosse YP, Kim C, Diskin SJ, Cole KA, Bosse K, Diamond M, Laudenslager M, Winter C, Bradfield JP, Scott RH, Jagannathan J, Garris M, McConville C, London WB, Seeger RC, Grant SF, Li H, Rahman N, Rappaport E, Hakonarson H, Maris JM. Capasso M, et al. Among authors: li h. Nat Genet. 2009 Jun;41(6):718-23. doi: 10.1038/ng.374. Epub 2009 May 3. Nat Genet. 2009. PMID: 19412175 Free PMC article.

4

A Gaussian copula approach for the analysis of secondary phenotypes in case-control genetic association studies.

He J, Li H, Edmondson AC, Rader DJ, Li M. He J, et al. Among authors: li h, li m. Biostatistics. 2012 Jul;13(3):497-508. doi: 10.1093/biostatistics/kxr025. Epub 2011 Sep 19. Biostatistics. 2012. PMID: 21933777 Free PMC article.

5

U-statistics in genetic association studies.

Li H. Li H. Hum Genet. 2012 Sep;131(9):1395-401. doi: 10.1007/s00439-012-1178-y. Epub 2012 May 20. Hum Genet. 2012. PMID: 22610525 Free PMC article. Review.

6

Testing in Microbiome-Profiling Studies with MiRKAT, the Microbiome Regression-Based Kernel Association Test.

Zhao N, Chen J, Carroll IM, Ringel-Kulka T, Epstein MP, Zhou H, Zhou JJ, Ringel Y, Li H, Wu MC. Zhao N, et al. Among authors: li h. Am J Hum Genet. 2015 May 7;96(5):797-807. doi: 10.1016/j.ajhg.2015.04.003. Am J Hum Genet. 2015. PMID: 25957468 Free PMC article.

7

Kidney cytosine methylation changes improve renal function decline estimation in patients with diabetic kidney disease.

Gluck C, Qiu C, Han SY, Palmer M, Park J, Ko YA, Guan Y, Sheng X, Hanson RL, Huang J, Chen Y, Park ASD, Izquierdo MC, Mantzaris I, Verma A, Pullman J, Li H, Susztak K. Gluck C, et al. Among authors: li h. Nat Commun. 2019 Jun 5;10(1):2461. doi: 10.1038/s41467-019-10378-8. Nat Commun. 2019. PMID: 31165727 Free PMC article.

8

Functional methylome analysis of human diabetic kidney disease.

Park J, Guan Y, Sheng X, Gluck C, Seasock MJ, Hakimi AA, Qiu C, Pullman J, Verma A, Li H, Palmer M, Susztak K. Park J, et al. Among authors: li h. JCI Insight. 2019 Jun 6;4(11):e128886. doi: 10.1172/jci.insight.128886. eCollection 2019 Jun 6. JCI Insight. 2019. PMID: 31167971 Free PMC article.

9

Systematic integrated analysis of genetic and epigenetic variation in diabetic kidney disease.

Sheng X, Qiu C, Liu H, Gluck C, Hsu JY, He J, Hsu CY, Sha D, Weir MR, Isakova T, Raj D, Rincon-Choles H, Feldman HI, Townsend R, Li H, Susztak K. Sheng X, et al. Among authors: li h. Proc Natl Acad Sci U S A. 2020 Nov 17;117(46):29013-29024. doi: 10.1073/pnas.2005905117. Epub 2020 Nov 3. Proc Natl Acad Sci U S A. 2020. PMID: 33144501 Free PMC article.

10

Epigenomic and transcriptomic analyses define core cell types, genes and targetable mechanisms for kidney disease.

Liu H, Doke T, Guo D, Sheng X, Ma Z, Park J, Vy HMT, Nadkarni GN, Abedini A, Miao Z, Palmer M, Voight BF, Li H, Brown CD, Ritchie MD, Shu Y, Susztak K. Liu H, et al. Among authors: li h. Nat Genet. 2022 Jul;54(7):950-962. doi: 10.1038/s41588-022-01097-w. Epub 2022 Jun 16. Nat Genet. 2022. PMID: 35710981

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