eLife

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1. We couldn't get details of this article at this time:
   10.1101/2023.07.31.551282

2. The title and authors for this article are not available from our external data provider yet:
   10.48550/arxiv.2202.13658v1

3. We couldn't get details of this article at this time:
   10.1101/2023.08.18.553910

4. We couldn't get details of this article at this time:
   10.1101/2023.08.17.551257

5. We couldn't get details of this article at this time:
   10.1101/2023.07.16.547149

6. We couldn't get details of this article at this time:
   10.1101/2023.06.21.545935

7. Efficient estimation for large-scale linkage disequilibrium patterns of the human genome

   This article has 6 authors:

   1. Xin Huang
   2. Tian-Neng Zhu
   3. Ying-Chao Liu
   4. Guo-An Qi
   5. Jian-Nan Zhang
   6. Guo-Bo Chen

   This article has been curated by 1 group:

   • Curated by eLife

     eLife assessment

     This study presents a valuable new approach for efficient computation of statistics on correlations between genetic variants (linkage disequilibrium, or LD), which the authors apply to quantify the extent of LD across chromosomes. The method appears solid, although the presentation of equations needs clarification and improvement. The authors document that cross-chromosome LD can be substantial, which has implications for geneticists who are interested in population structure and its impact on genetic association studies.

   Reviewed by eLife

8. We couldn't get details of this article at this time:
   10.1101/2023.05.28.542535

9. We couldn't get details of this article at this time:
   10.1101/2022.04.28.489897

10. We couldn't get details of this article at this time:
    10.1101/2023.08.30.23294826