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Xiang Zhou

Researcher at University of Michigan

Publications -  172
Citations -  20187

Xiang Zhou is an academic researcher from University of Michigan. The author has contributed to research in topics: Medicine & Genome-wide association study. The author has an hindex of 33, co-authored 133 publications receiving 16025 citations. Previous affiliations of Xiang Zhou include Duke University & University of Chicago.

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Proper formation of whisker barrelettes requires periphery-derived Smad4-dependent TGF-β signaling

TL;DR: These findings substantiate the involvement of whisker-derived TGF-β/Smad4 signaling in the formation of the whisker somatotopic maps and show that Smad4-deficient neurons develop simpler terminal arbors and form fewer synapses.
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Causal association of type 2 diabetes with amyotrophic lateral sclerosis: new evidence from Mendelian randomization using GWAS summary statistics

TL;DR: New evidence is provided supporting the causal neuroprotective role of T2D on ALS in the European population and empirically suggestive evidence of increasing risk of T1D onALS in the East Asian population.
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Cancer PRSweb: An Online Repository with Polygenic Risk Scores for Major Cancer Traits and Their Evaluation in Two Independent Biobanks.

TL;DR: An extensive PRS online repository for 35 common cancer traits integrating freely available genome-wide association studies (GWASs) summary statistics from three sources is created, and a framework condenses these summary statistics into PRSs using various approaches such as linkage disequilibrium pruning/p value thresholding and penalized, genome- wide effect size weighting.
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The combination of a genome-wide association study of lymphocyte count and analysis of gene expression data reveals novel asthma candidate genes

TL;DR: The results establish a new set of asthma susceptibility candidate genes that include genes previously implicated in asthma susceptibility as well as novel candidate genes enriched for functions related to T cell receptor signaling and adenosine triphosphate synthesis.
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Heritability estimation and differential analysis of count data with generalized linear mixed models in genomic sequencing studies.

TL;DR: It is shown that PQLseq is the only method currently available that can produce unbiased heritability estimates for sequencing count data and is well suited for differential analysis in large sequencing studies, providing calibrated type I error control and more power compared to the standard linear mixed model methods.