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Jian Yang

Researcher at Xi'an Jiaotong University

Publications -  2116
Citations -  144817

Jian Yang is an academic researcher from Xi'an Jiaotong University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 142, co-authored 1818 publications receiving 111166 citations. Previous affiliations of Jian Yang include University of Queensland & China Pharmaceutical University.

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GCTA: a tool for genome-wide complex trait analysis.

TL;DR: The GCTA software is a versatile tool to estimate and partition complex trait variation with large GWAS data sets and focuses on the function of estimating the variance explained by all the SNPs on the X chromosome and testing the hypotheses of dosage compensation.
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Common SNPs explain a large proportion of the heritability for human height

TL;DR: Evidence is provided that the remaining heritability is due to incomplete linkage disequilibrium between causal variants and genotyped SNPs, exacerbated by causal variants having lower minor allele frequency than the SNPs explored to date.
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LD score regression distinguishes confounding from polygenicity in genome-wide association studies :

TL;DR: It is found that polygenicity accounts for the majority of the inflation in test statistics in many GWAS of large sample size, and the LD Score regression intercept can be used to estimate a more powerful and accurate correction factor than genomic control.
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Two-dimensional PCA: a new approach to appearance-based face representation and recognition

TL;DR: A new technique coined two-dimensional principal component analysis (2DPCA) is developed for image representation that is based on 2D image matrices rather than 1D vectors so the image matrix does not need to be transformed into a vector prior to feature extraction.

Genetic studies of body mass index yield new insights for obesity biology

Adam E. Locke, +481 more
TL;DR: This paper conducted a genome-wide association study and meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals.