Connection

XIAOMING JIA to Genome-Wide Association Study

This is a "connection" page, showing publications XIAOMING JIA has written about Genome-Wide Association Study.
Connection Strength

0.452
  1. Genome sequencing uncovers phenocopies in primary progressive multiple sclerosis. Ann Neurol. 2018 07; 84(1):51-63.
    View in: PubMed
    Score: 0.333
  2. Practical aspects of imputation-driven meta-analysis of genome-wide association studies. Hum Mol Genet. 2008 Oct 15; 17(R2):R122-8.
    View in: PubMed
    Score: 0.042
  3. Exome sequencing in bipolar disorder identifies AKAP11 as a risk gene shared with schizophrenia. Nat Genet. 2022 05; 54(5):541-547.
    View in: PubMed
    Score: 0.027
  4. Accurate imputation of human leukocyte antigens with CookHLA. Nat Commun. 2021 02 24; 12(1):1264.
    View in: PubMed
    Score: 0.025
  5. Five amino acids in three HLA proteins explain most of the association between MHC and seropositive rheumatoid arthritis. Nat Genet. 2012 Jan 29; 44(3):291-6.
    View in: PubMed
    Score: 0.013
  6. Meta-analysis of genome scans and replication identify CD6, IRF8 and TNFRSF1A as new multiple sclerosis susceptibility loci. Nat Genet. 2009 Jul; 41(7):776-82.
    View in: PubMed
    Score: 0.011
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.