Jian Yang

The paper refutes claims that GCTA cannot reliably estimate heritability, showing the results are consistent with GCTA theory.

This study introduces metrics and tools to assess quality control in genome-wide association meta-analyses using summary statistics from multiple cohorts.

This paper introduces LDpred, a method that improves polygenic risk score accuracy by modeling linkage disequilibrium, showing increased R2 values in schizophrenia and multiple sclerosis datasets.

The paper shows that haplotypes of common SNPs explain more heritability of complex diseases than individual SNPs alone.

The paper introduces a new mixed model method for case-control studies that improves association power while controlling false positives, showing gains in power on real and simulated data.

The paper introduces LD Score regression to differentiate between confounding and polygenicity in genome-wide association studies.