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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 1
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publications
Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes
Published in Nature Communications, 2018
This paper conducted the largest T2D meta-analysis of GWAS and identified 139 common and 4 rare variants associated with T2D.
Recommended citation: Angli Xue*, Yang Wu*, Zhihong Zhu, Futao Zhang, Kathryn E Kemper, Zhili Zheng, …, Jian Zeng#, Jian Yang#. Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes. Nature Communications. 12, 6450 (2018). https://www.nature.com/articles/s41467-018-04951-w
Genome-wide analyses of behavioural traits are subject to bias by misreports and longitudinal changes
Published in Nature Communications, 2021
This paper demonstrated that behavioural traits are subject to misreports and longitudinal changes (MLC) which can cause biases in GWAS and follow-up analyses.
Recommended citation: Angli Xue, Longda Jiang, Zhihong Zhu, Naomi R. Wray, Peter M. Visscher, Jian Zeng, Jian Yang. Genome-wide analyses of behavioral traits are subject to bias by misreports and longitudinal changes. Nature Communications. 12, 6450 (2021). https://www.nature.com/articles/s41467-020-20237-6
Pitfalls and opportunities for applying latent variables in single-cell eQTL analyses
Published in Genome Biology, 2023
This paper discussed the pitfalls and opportunities when using latent variables in the single-cell eQTL mapping analysis.
Recommended citation: Angli Xue#, Seyhan Yazar, Drew Neavin, Joseph E. Powell#. "Pitfalls and opportunities for applying latent variables in single-cell eQTL analyses". Genome Biology. 24.1 (2023): 1-11. https://genomebiology.biomedcentral.com/articles/10.1186/s13059-023-02873-5