Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Lu Qi, Ph.D., M.D.

Co-Author

This page shows the publications co-authored by Lu Qi and Mark Daly.
Connection Strength

0.291
  1. Erratum: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci Data. 2018 01 23; 5:180002.
    View in: PubMed
    Score: 0.047
  2. Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci Data. 2017 12 19; 4:170179.
    View in: PubMed
    Score: 0.046
  3. A Low-Frequency Inactivating AKT2 Variant Enriched in the Finnish Population Is Associated With Fasting Insulin Levels and Type 2 Diabetes Risk. Diabetes. 2017 07; 66(7):2019-2032.
    View in: PubMed
    Score: 0.044
  4. The genetic architecture of type 2 diabetes. Nature. 2016 08 04; 536(7614):41-47.
    View in: PubMed
    Score: 0.042
  5. Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals. PLoS Genet. 2012; 8(3):e1002607.
    View in: PubMed
    Score: 0.031
  6. A genome-wide association search for type 2 diabetes genes in African Americans. PLoS One. 2012; 7(1):e29202.
    View in: PubMed
    Score: 0.031
  7. Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis. Nat Genet. 2010 Jul; 42(7):579-89.
    View in: PubMed
    Score: 0.028
  8. Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes. Nat Genet. 2008 May; 40(5):638-45.
    View in: PubMed
    Score: 0.024
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.