Lisa A. Cannon-Albright, Ph.D.

Chief, Division of Genetic Epidemiology

Chief, Division of Cardiovascular Genetics

Research Interests

  • Population-Based Studies
  • Disease Predisposition Genes

Languages

  • English

Academic Information

  • Departments: Family and Preventive Medicine - Adjunct Professor, Internal Medicine - Professor
  • Divisions: Genetic Epidemiology, Public Health
  • Cancer Center Programs: Cancer Control & Population Sciences

Academic Office Information

  • (801) 587-9300
  • Division of Genetic Epidemiology
    391 Chipeta, Way, Suite D
    Salt Lake City, UT 84108

Academic Bio

Dr. Lisa Cannon-Albright is Professor and Division Chief of the Division of Genetic Epidemiology in the Department of Medicine at the University of Utah School of Medicine. She is a Huntsman Cancer Institute investigator and a member of the Cancer Control and Population Sciences program. As a Genetic Epidemiologist her research interests include computerized genealogy data, high risk pedigree studies, and predisposition gene identification.

Dr. Albright has over 3 decades of experience in designing and directing studies of high-risk pedigrees to identify genes predisposing to cancer and other diseases. Genes identified in Utah high risk pedigree studies include NF (Barker et al.); Alport Syndrome (Atkins et al): BRCA1 (Miki et al, 1994); BRCA2 (Tavtigian et al, 1996); p16 (Kamb et al, 1994; Cannon-Albright et al., 1994); and ELAC2/PRCA2 (Tavtigian et al., 2001). Dr. Albright’s research goals are to identify and understand predisposition genes for common traits. Her research group accomplishes this primarily through analysis of genealogy data and the study of extended Utah high-risk pedigrees. She currently directs and is involved in cancer studies of prostate cancer, pancreas cancer, Ewings sarcoma, melanoma, pelvic floor disorders, colorectal cancer, and the exploration of new population-based resources. Her work is sponsored by the National Institutes of Health, the University of Utah, AACR, Alex’s Lemonade Stand, the Huntsman Cancer Institute, and the George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah.

Dr. Albright has over 3 decades of experience analyzing a unique computerized genealogy of Utah, linked to medical data, to describe the heritable contribution to various health-related phenotypes including cancer, influenza mortality, asthma mortality, aneurysm, heart disease, diabetes, and rotator disease (Cannon et al., 1982, Cannon-Albright et al., 1994; 2003; 2005, Horne et al., 2005, 2006; Teerlink et al., 2007; Albright et al., 2008; Weires et al., 2005; Tashjian et al., 2009), among others. Dr. Albright continues to explore many different phenotypes using the UPDB. She is currently collaborating on the following phenotypes: head and neck cancers, lung cancer, ataxias, Alzheimers, spinal disorders, neurofibromatosis, celiac disease, influenza, asthma, thinness, tendonopathies, benign pituitary tumors, stroke, auto-immune disease, gallstone disease, sepsis, stroke, skeletal injury, and osteoarthritis.

Dr. Albright has recently built the genealogy of Utah and Massachusetts and record linked this genealogy to VA patients served in these states. This is part of a long-term plan to build the US genealogy and link to all 24 million VA patients nationwide.

Dr. Albright is interested in exploring new approaches and has directed a collaboration to develop analyses using high density SNP data to identify regions identical by descent within and between individuals in search of predisposition genes (Thomas et al., 2008). She has developed an innovative approach of mining existing tissue resources to obtain germline DNA for affected members of high-risk pedigrees to enable genetic studies for diseases that are quickly lethal.

Education History

Type School Degree
Doctoral Training University of Utah
Genetic Epidemiology/Biomedical Informatics
Ph.D.
Graduate Training University of Utah
Biostatistics
M.Stat
Undergraduate Brigham Young University
Statistics
B.S.

Global Impact

Presentations

Description Country
Utah High Risk Asthma Pedigree Study, AllerGen Gene Environment Asthma Workshop, Vancouver, Canada. Canada
Genetic heterogeneity of prostate cancer, Prostate Cancer Charitable Trust, Oxford Meeting, Hertford College, Oxford, England. United Kingdom
Utah genealogical database. Family Based Studies and Genetic Epidemiology:Theory and Practice Symposium, Sheffield, England. United Kingdom
Prostate cancer studies in Utah and the 22q locus. Prostate Cancer Research Foundation Symposium, London, England. United Kingdom

Selected Publications

Journal Article

  1. Association analysis of 9,560 prostate cancer cases from the International Consortium of Prostate Cancer Genetics confirms the role of reported prostate cancer associated SNPs for familial disease.Teerlink CC, Thibodeau SN, McDonnell SK, Schaid DJ, Rinckleb A, Maier C, Vogel W, Cancel-Tassin G, Egrot C, Cussenot O, Foulkes WD, Giles GG, Hopper JL, Severi G, Eeles R, Easton D, Kote-Jarai Z, Guy M, Cooney KA, Ray AM, Zuhlke KA, Lange EM, Fitzgerald LM, Stanford JL, Ostrander EA, Wiley KE, Isaacs SD, Walsh PC, Isaacs WB, Wahlfors T, Tammela T, Schleutker J, Wiklund F, Gronberg H, Emanuelsson M, Carpten J, Bailey-Wilson J, Whittemore AS, Oakley-Girvan I, Hsieh CL, Catalona WJ, Zheng SL, Jin G, Lu L, Xu J, Camp NJ, Cannon-Albright LA (2014). Association analysis of 9,560 prostate cancer cases from the International Consortium of Prostate Cancer Genetics confirms the role of reported prostate cancer associated SNPs for familial disease. Hum Genet, 133(3), 347-56.
  2. A population-based analysis of clustering identifies a strong genetic contribution to lethal prostate cancer.Nelson Q, Agarwal N, Stephenson R, Cannon-Albright LA (2013). A population-based analysis of clustering identifies a strong genetic contribution to lethal prostate cancer. Front Genet, 4, 152.
  3. Linkage analysis of extended high-risk pedigrees replicates a cutaneous malignant melanoma predisposition locus on chromosome 9q21.Cannon-Albright LA, Teerlink CC, Farnham JM, Thomas AW, Zone JJ, Leachman SA (2013). Linkage analysis of extended high-risk pedigrees replicates a cutaneous malignant melanoma predisposition locus on chromosome 9q21. J Invest Dermatol, 133(1), 128-34.
  4. Significant evidence for a heritable contribution to cancer predisposition: a review of cancer familiality by site.Albright F, Teerlink C, Werner TL, Cannon-Albright LA (2012). Significant evidence for a heritable contribution to cancer predisposition: a review of cancer familiality by site. BMC Cancer, 12, 138.
  5. A comprehensive survey of cancer risks in extended families.Teerlink CC, Albright FS, Lins L, Cannon-Albright LA (2012). A comprehensive survey of cancer risks in extended families. Genet Med, 14(1), 107-14.
  6. A unique genome-wide association analysis in extended Utah high-risk pedigrees identifies a novel melanoma risk variant on chromosome arm 10q.Teerlink C, Farnham J, Allen-Brady K, Camp NJ, Thomas A, Leachman S, Cannon-Albright L (2012). A unique genome-wide association analysis in extended Utah high-risk pedigrees identifies a novel melanoma risk variant on chromosome arm 10q. Hum Genet, 131(1), 77-85.
  7. Familial clustering of endometrial cancer in a well-defined population.Seger HM, Soisson AP, Dodson MK, Rowe KG, Cannon-Albright LA (2011). Familial clustering of endometrial cancer in a well-defined population. Gynecol Oncol, 122(1), 75-8.
  8. How well does family history predict who will get colorectal cancer? Implications for cancer screening and counseling.Taylor DP, Stoddard GJ, Burt RW, Williams MS, Mitchell JA, Haug PJ, Cannon-Albright LA (2011). How well does family history predict who will get colorectal cancer? Implications for cancer screening and counseling. Genet Med, 13(5), 385-91.
  9. A heritable predisposition to pituitary tumors.Couldwell WT, Cannon-Albright L (2010). A heritable predisposition to pituitary tumors. Pituitary, 13(2), 130-7.
  10. A population-based description of familial clustering of pancreatic cancer.Shirts BH, Burt RW, Mulvihill SJ, Cannon-Albright LA (2010). A population-based description of familial clustering of pancreatic cancer. Clin Gastroenterol Hepatol, 8(9), 812-6.
  11. Population-based family history-specific risks for colorectal cancer: a constellation approach.Taylor DP, Burt RW, Williams MS, Haug PJ, Cannon-Albright LA (2010). Population-based family history-specific risks for colorectal cancer: a constellation approach. Gastroenterology, 138(3), 877-85.
  12. Replication of the 10q11 and Xp11 prostate cancer risk variants: results from a Utah pedigree-based study.Camp NJ, Farnham JM, Wong J, Christensen GB, Thomas A, Cannon-Albright LA (2009). Replication of the 10q11 and Xp11 prostate cancer risk variants: results from a Utah pedigree-based study. Cancer Epidemiol Biomarkers Prev, 18(4), 1290-4.
  13. Curtin K, Lin WY, George R, Katory M, Shorto J, Cannon-Albright LA, Bishop DT, Cox A, Camp NJ, Colorectal Cancer Study Group (2009). Meta association of colorectal cancer confirms risk alleles at 8q24 and 18q21. Cancer Epidemiol Biomarkers Prev, 18(2), 616-21.

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