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Connection

Brandon L. Pierce to Genetic Predisposition to Disease

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This is a "connection" page, showing publications Brandon L. Pierce has written about Genetic Predisposition to Disease.
Brandon L. Pierce
Connection Strength
2.804
Genetic Predisposition to Disease
  1. Research Participants' Attitudes towards Receiving Information on Genetic Susceptibility to Arsenic Toxicity in Rural Bangladesh. Public Health Genomics. 2020; 23(1-2):69-76.
    View in: PubMed
    Score: 0.365
  2. Screening for gene-environment (G×E) interaction using omics data from exposed individuals: an application to gene-arsenic interaction. Mamm Genome. 2018 02; 29(1-2):101-111.
    View in: PubMed
    Score: 0.318
  3. Genetic susceptibility to accelerated cognitive decline in the US Health and Retirement Study. Neurobiol Aging. 2014 Jun; 35(6):1512.e11-8.
    View in: PubMed
    Score: 0.238
  4. Clinical assessment incorporating a personal genome. Lancet. 2010 Sep 11; 376(9744):869; author reply 869-70.
    View in: PubMed
    Score: 0.190
  5. Power and instrument strength requirements for Mendelian randomization studies using multiple genetic variants. Int J Epidemiol. 2011 Jun; 40(3):740-52.
    View in: PubMed
    Score: 0.189
  6. Genetic susceptibility to type 2 diabetes is associated with reduced prostate cancer risk. Hum Hered. 2010; 69(3):193-201.
    View in: PubMed
    Score: 0.183
  7. Case-only genome-wide interaction study of disease risk, prognosis and treatment. Genet Epidemiol. 2010 Jan; 34(1):7-15.
    View in: PubMed
    Score: 0.181
  8. The impact of patents on the development of genome-based clinical diagnostics: an analysis of case studies. Genet Med. 2009 Mar; 11(3):202-9.
    View in: PubMed
    Score: 0.171
  9. An integrative multi-context Mendelian randomization method for identifying risk genes across human tissues. Am J Hum Genet. 2024 Aug 08; 111(8):1736-1749.
    View in: PubMed
    Score: 0.124
  10. The effect of age on DNA methylation in whole blood among Bangladeshi men and women. BMC Genomics. 2019 Sep 10; 20(1):704.
    View in: PubMed
    Score: 0.088
  11. Genome-wide association study of telomere length among South Asians identifies a second RTEL1 association signal. J Med Genet. 2018 01; 55(1):64-71.
    View in: PubMed
    Score: 0.078
  12. Genetic determinants of telomere length and risk of common cancers: a Mendelian randomization study. Hum Mol Genet. 2015 Sep 15; 24(18):5356-66.
    View in: PubMed
    Score: 0.066
  13. Arsenic metabolism efficiency has a causal role in arsenic toxicity: Mendelian randomization and gene-environment interaction. Int J Epidemiol. 2013 Dec; 42(6):1862-71.
    View in: PubMed
    Score: 0.059
  14. The effect of non-differential measurement error on bias, precision and power in Mendelian randomization studies. Int J Epidemiol. 2012 Oct; 41(5):1383-93.
    View in: PubMed
    Score: 0.055
  15. Unidentified genetic variants influence pancreatic cancer risk: an analysis of polygenic susceptibility in the PanScan study. Genet Epidemiol. 2012 Jul; 36(5):517-24.
    View in: PubMed
    Score: 0.053
  16. Genome-wide association study identifies chromosome 10q24.32 variants associated with arsenic metabolism and toxicity phenotypes in Bangladesh. PLoS Genet. 2012; 8(2):e1002522.
    View in: PubMed
    Score: 0.052
  17. Genetic susceptibility to type 2 diabetes and breast cancer risk in women of European and African ancestry. Cancer Epidemiol Biomarkers Prev. 2012 Mar; 21(3):552-6.
    View in: PubMed
    Score: 0.052
  18. Genome-wide "pleiotropy scan" identifies HNF1A region as a novel pancreatic cancer susceptibility locus. Cancer Res. 2011 Jul 01; 71(13):4352-8.
    View in: PubMed
    Score: 0.049
  19. Association study of type 2 diabetes genetic susceptibility variants and risk of pancreatic cancer: an analysis of PanScan-I data. Cancer Causes Control. 2011 Jun; 22(6):877-83.
    View in: PubMed
    Score: 0.049
  20. Genomic scan of 12 hereditary prostate cancer families having an occurrence of pancreas cancer. Prostate. 2007 Mar 01; 67(4):410-5.
    View in: PubMed
    Score: 0.037
  21. HOXD10 M319K mutation in a family with isolated congenital vertical talus. J Orthop Res. 2006 Mar; 24(3):448-53.
    View in: PubMed
    Score: 0.035
  22. Genome-wide association study of prostate-specific antigen levels in 392,522 men identifies new loci and improves prediction across ancestry groups. Nat Genet. 2025 Feb; 57(2):334-344.
    View in: PubMed
    Score: 0.032
  23. A meta-analysis approach with filtering for identifying gene-level gene-environment interactions. Genet Epidemiol. 2018 07; 42(5):434-446.
    View in: PubMed
    Score: 0.020
  24. Circulating vitamin D concentration and risk of seven cancers: Mendelian randomisation study. BMJ. 2017 10 31; 359:j4761.
    View in: PubMed
    Score: 0.019
  25. Identifying cis-mediators for trans-eQTLs across many human tissues using genomic mediation analysis. Genome Res. 2017 11; 27(11):1859-1871.
    View in: PubMed
    Score: 0.019
  26. Lessons Learned From Past Gene-Environment Interaction Successes. Am J Epidemiol. 2017 Oct 01; 186(7):778-786.
    View in: PubMed
    Score: 0.019
  27. Trans-ethnic predicted expression genome-wide association analysis identifies a gene for estrogen receptor-negative breast cancer. PLoS Genet. 2017 Sep; 13(9):e1006727.
    View in: PubMed
    Score: 0.019
  28. Telomere structure and maintenance gene variants and risk of five cancer types. Int J Cancer. 2016 Dec 15; 139(12):2655-2670.
    View in: PubMed
    Score: 0.018
  29. A genome-wide association study of early-onset breast cancer identifies PFKM as a novel breast cancer gene and supports a common genetic spectrum for breast cancer at any age. Cancer Epidemiol Biomarkers Prev. 2014 Apr; 23(4):658-69.
    View in: PubMed
    Score: 0.015
  30. Localization of PSORS1 to a haplotype block harboring HLA-C and distinct from corneodesmosin and HCR. Hum Genet. 2005 Dec; 118(3-4):466-76.
    View in: PubMed
    Score: 0.008
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.