Connection

RICHARD GIBBS to Risk Factors

This is a "connection" page, showing publications RICHARD GIBBS has written about Risk Factors.
Connection Strength

0.315
  1. Coverage of the Coeliac Artery During Thoracic Endovascular Aortic Repair: A Systematic Review and Meta-Analysis. Eur J Vasc Endovasc Surg. 2022 06; 63(6):828-837.
    View in: PubMed
    Score: 0.072
  2. Type 2 Diabetes Modifies the Association of CAD Genomic Risk Variants With Subclinical Atherosclerosis. Circ Genom Precis Med. 2023 12; 16(6):e004176.
    View in: PubMed
    Score: 0.020
  3. Familial Hypercholesterolemia in the Electronic Medical Records and Genomics Network: Prevalence, Penetrance, Cardiovascular Risk, and Outcomes After Return of Results. Circ Genom Precis Med. 2023 04; 16(2):e003816.
    View in: PubMed
    Score: 0.019
  4. Four-year results of the Bolton relay proximal scallop endograft in the management of thoracic and thoracoabdominal aortic pathology with unfavorable proximal landing zone. J Vasc Surg. 2021 11; 74(5):1447-1455.
    View in: PubMed
    Score: 0.017
  5. Short- and long-term outcomes in isolated penetrating aortic ulcer disease. J Vasc Surg. 2020 07; 72(1):84-91.
    View in: PubMed
    Score: 0.016
  6. Rare variants in SLC5A10 are associated with serum 1,5-anhydroglucitol (1,5-AG) in the Atherosclerosis Risk in Communities (ARIC) Study. Sci Rep. 2019 04 11; 9(1):5941.
    View in: PubMed
    Score: 0.015
  7. Lipoprotein-associated phospholipase A2 and risk of incident peripheral arterial disease: Findings from The Atherosclerosis Risk in Communities study (ARIC). Atherosclerosis. 2018 01; 268:12-18.
    View in: PubMed
    Score: 0.013
  8. Whole-genome sequencing study of serum peptide levels: the Atherosclerosis Risk in Communities study. Hum Mol Genet. 2017 09 01; 26(17):3442-3450.
    View in: PubMed
    Score: 0.013
  9. Exome sequencing reveals novel genetic loci influencing obesity-related traits in Hispanic children. Obesity (Silver Spring). 2017 07; 25(7):1270-1276.
    View in: PubMed
    Score: 0.013
  10. Loss-of-function variants influence the human serum metabolome. Sci Adv. 2016 08; 2(8):e1600800.
    View in: PubMed
    Score: 0.012
  11. A comprehensive transcriptional map of primate brain development. Nature. 2016 07 21; 535(7612):367-75.
    View in: PubMed
    Score: 0.012
  12. Short- and Long-term Results of Hybrid Arch and Proximal Descending Thoracic Aortic Repair: A Benchmark for New Technologies. J Endovasc Ther. 2016 10; 23(5):783-90.
    View in: PubMed
    Score: 0.012
  13. Rare Exome Sequence Variants in CLCN6 Reduce Blood Pressure Levels and Hypertension Risk. Circ Cardiovasc Genet. 2016 Feb; 9(1):64-70.
    View in: PubMed
    Score: 0.012
  14. Analysis of loss-of-function variants and 20 risk factor phenotypes in 8,554 individuals identifies loci influencing chronic disease. Nat Genet. 2015 Jun; 47(6):640-2.
    View in: PubMed
    Score: 0.011
  15. Coronary heart disease and genetic variants with low phospholipase A2 activity. N Engl J Med. 2015 Jan 15; 372(3):295-6.
    View in: PubMed
    Score: 0.011
  16. Association of exome sequences with plasma C-reactive protein levels in >9000 participants. Hum Mol Genet. 2015 Jan 15; 24(2):559-71.
    View in: PubMed
    Score: 0.011
  17. Integrated model of de novo and inherited genetic variants yields greater power to identify risk genes. PLoS Genet. 2013; 9(8):e1003671.
    View in: PubMed
    Score: 0.010
  18. Next-generation sequencing study finds an excess of rare, coding single-nucleotide variants of ADAMTS13 in patients with deep vein thrombosis. J Thromb Haemost. 2013 Jul; 11(7):1228-39.
    View in: PubMed
    Score: 0.010
  19. Rare complete knockouts in humans: population distribution and significant role in autism spectrum disorders. Neuron. 2013 Jan 23; 77(2):235-42.
    View in: PubMed
    Score: 0.010
  20. Novel potential ALL low-risk markers revealed by gene expression profiling with new high-throughput SSH-CCS-PCR. Leukemia. 2003 Sep; 17(9):1891-900.
    View in: PubMed
    Score: 0.005
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.