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Alisa K Manning, Ph.D.

Co-Author

This page shows the publications co-authored by Alisa Manning and Jennifer Huffman.
Connection Strength

0.637
  1. Publisher Correction: Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals. Nat Genet. 2021 May; 53(5):762.
    View in: PubMed
    Score: 0.060
  2. Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals. Nat Genet. 2020 12; 52(12):1314-1332.
    View in: PubMed
    Score: 0.058
  3. Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2019 Jul; 51(7):1191-1192.
    View in: PubMed
    Score: 0.053
  4. Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions. Am J Epidemiol. 2019 06 01; 188(6):1033-1054.
    View in: PubMed
    Score: 0.052
  5. Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids. Nat Genet. 2019 04; 51(4):636-648.
    View in: PubMed
    Score: 0.052
  6. Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018 05; 50(5):765-766.
    View in: PubMed
    Score: 0.049
  7. Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018 05; 50(5):766-767.
    View in: PubMed
    Score: 0.049
  8. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018 01; 50(1):26-41.
    View in: PubMed
    Score: 0.048
  9. Exome-wide association study of plasma lipids in >300,000 individuals. Nat Genet. 2017 Dec; 49(12):1758-1766.
    View in: PubMed
    Score: 0.047
  10. Analysis commons, a team approach to discovery in a big-data environment for genetic epidemiology. Nat Genet. 2017 10 27; 49(11):1560-1563.
    View in: PubMed
    Score: 0.047
  11. Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension. Nat Genet. 2016 10; 48(10):1151-1161.
    View in: PubMed
    Score: 0.043
  12. An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working Group. Genet Epidemiol. 2016 07; 40(5):404-15.
    View in: PubMed
    Score: 0.043
  13. Whole-exome sequencing identifies rare and low-frequency coding variants associated with LDL cholesterol. Am J Hum Genet. 2014 Feb 06; 94(2):233-45.
    View in: PubMed
    Score: 0.036
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.