LD Score regression distinguishes confounding from polygenicity in genome-wide association studies  

Oleh:

Bulik-Sullivan, Brendan K ; Po-Ru, Loh ; Finucane, Hilary K ; Ripke, Stephan ; Jian, Yang

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Nature Genetics vol. 47 no. 03 (Mar. 2015), page 291–295.

Ketersediaan

Perpustakaan FK Nomor Panggil: N12.K Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

Both polygenicity (many small genetic effects) and confounding biases, such as cryptic relatedness and population stratification, can yield an inflated distribution of test statistics in genome-wide association studies (GWAS). However, current methods cannot distinguish between inflation from a true polygenic signal and bias. We have developed an approach, LD Score regression, that quantifies the contribution of each by examining the relationship between test statistics and linkage disequilibrium (LD). The LD Score regression intercept can be used to estimate a more powerful and accurate correction factor than genomic control. We find strong evidence that polygenicity accounts for the majority of the inflation in test statistics in many GWAS of large sample size.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali