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Items: 1 to 50 of 94

1.

GOG 8020/210: Risk stratification of lymph node metastasis, disease progression and survival using single nucleotide polymorphisms in endometrial cancer: An NRG oncology/gynecologic oncology group study.

Brooks RA, Tritchler DS, Darcy KM, Lankes HA, Salani R, Sperduto P, Guntupalli S, DiSilvestro P, Kesterson J, Olawaiye AB, Moxley K, Waggoner S, Santin A, Rader JS, Kizer NT, Thaker PH, Powell MA, Mutch DG, Birrer MJ, Goodfellow PJ.

Gynecol Oncol. 2019 May;153(2):335-342. doi: 10.1016/j.ygyno.2019.02.028. Epub 2019 Feb 28.

2.

Genetic Variation in Steroid and Xenobiotic Metabolizing Pathways and Enterolactone Excretion Before and After Flaxseed Intervention in African American and European American Women.

Chang H, Yao S, Tritchler D, Hullar MA, Lampe JW, Thompson LU, McCann SE.

Cancer Epidemiol Biomarkers Prev. 2019 Feb;28(2):265-274. doi: 10.1158/1055-9965.EPI-18-0826.

PMID:
30709839
3.

The Be-Well Study: a prospective cohort study of lifestyle and genetic factors to reduce the risk of recurrence and progression of non-muscle-invasive bladder cancer.

Kwan ML, Kushi LH, Danforth KN, Roh JM, Ergas IJ, Lee VS, Cannavale KL, Harrison TN, Contreras R, Loo RK, Aaronson DS, Quesenberry CP, Tritchler D, Ghai NR, Quinn VP, Ambrosone CB, Zhang Y, Tang L.

Cancer Causes Control. 2019 Feb;30(2):187-193. doi: 10.1007/s10552-019-1130-8. Epub 2019 Jan 17.

PMID:
30656539
4.

Genetic association with B-cell acute lymphoblastic leukemia in allogeneic transplant patients differs by age and sex.

Clay-Gilmour AI, Hahn T, Preus LM, Onel K, Skol A, Hungate E, Zhu Q, Haiman CA, Stram DO, Pooler L, Sheng X, Yan L, Liu Q, Hu Q, Liu S, Battaglia S, Zhu X, Block AW, Sait SNJ, Karaesmen E, Rizvi A, Weisdorf DJ, Ambrosone CB, Tritchler D, Ellinghaus E, Ellinghaus D, Stanulla M, Clavel J, Orsi L, Spellman S, Pasquini MC, McCarthy PL, Sucheston-Campbell LE.

Blood Adv. 2017 Sep 8;1(20):1717-1728. doi: 10.1182/bloodadvances.2017006023. eCollection 2017 Sep 12.

5.

An NRG Oncology/GOG study of molecular classification for risk prediction in endometrioid endometrial cancer.

Cosgrove CM, Tritchler DL, Cohn DE, Mutch DG, Rush CM, Lankes HA, Creasman WT, Miller DS, Ramirez NC, Geller MA, Powell MA, Backes FJ, Landrum LM, Timmers C, Suarez AA, Zaino RJ, Pearl ML, DiSilvestro PA, Lele SB, Goodfellow PJ.

Gynecol Oncol. 2018 Jan;148(1):174-180. doi: 10.1016/j.ygyno.2017.10.037. Epub 2017 Nov 11.

6.

Genome-wide association study evaluating single-nucleotide polymorphisms and outcomes in patients with advanced stage serous ovarian or primary peritoneal cancer: An NRG Oncology/Gynecologic Oncology Group study.

Moore KN, Tritchler D, Kaufman KM, Lankes H, Quinn MCJ; Ovarian Cancer Association Consortium, Van Le L, Berchuck A, Backes FJ, Tewari KS, Lee RB, Kesterson JP, Wenham RM, Armstrong DK, Krivak TC, Bookman MA, Birrer MJ.

Gynecol Oncol. 2017 Nov;147(2):396-401. doi: 10.1016/j.ygyno.2017.08.024. Epub 2017 Sep 19.

7.

Replication and validation of genetic polymorphisms associated with survival after allogeneic blood or marrow transplant.

Karaesmen E, Rizvi AA, Preus LM, McCarthy PL, Pasquini MC, Onel K, Zhu X, Spellman S, Haiman CA, Stram DO, Pooler L, Sheng X, Zhu Q, Yan L, Liu Q, Hu Q, Webb A, Brock G, Clay-Gilmour AI, Battaglia S, Tritchler D, Liu S, Hahn T, Sucheston-Campbell LE.

Blood. 2017 Sep 28;130(13):1585-1596. doi: 10.1182/blood-2017-05-784637. Epub 2017 Aug 15.

8.

Clinicopathologic Significance of Mismatch Repair Defects in Endometrial Cancer: An NRG Oncology/Gynecologic Oncology Group Study.

McMeekin DS, Tritchler DL, Cohn DE, Mutch DG, Lankes HA, Geller MA, Powell MA, Backes FJ, Landrum LM, Zaino R, Broaddus RD, Ramirez N, Gao F, Ali S, Darcy KM, Pearl ML, DiSilvestro PA, Lele SB, Goodfellow PJ.

J Clin Oncol. 2016 Sep 1;34(25):3062-8. doi: 10.1200/JCO.2016.67.8722. Epub 2016 Jun 20.

9.

Identification of consistent functional genetic modules.

Miecznikowski JC, Gaile DP, Chen X, Tritchler DL.

Stat Appl Genet Mol Biol. 2016 Mar;15(1):1-18. doi: 10.1515/sagmb-2015-0026.

PMID:
26756095
10.

Establishment of Definitions and Review Process for Consistent Adjudication of Cause-specific Mortality after Allogeneic Unrelated-donor Hematopoietic Cell Transplantation.

Hahn T, Sucheston-Campbell LE, Preus L, Zhu X, Hansen JA, Martin PJ, Yan L, Liu S, Spellman S, Tritchler D, Clay A, Onel K, Pasquini M, McCarthy PL.

Biol Blood Marrow Transplant. 2015 Sep;21(9):1679-1686. doi: 10.1016/j.bbmt.2015.05.019. Epub 2015 May 29.

11.

Information metrics in genetic epidemiology.

Tritchler DL, Sucheston L, Chanda P, Ramanathan M.

Stat Appl Genet Mol Biol. 2011;10:Article 12.

12.

A molecular signature of proteinuria in glomerulonephritis.

Reich HN, Tritchler D, Cattran DC, Herzenberg AM, Eichinger F, Boucherot A, Henger A, Berthier CC, Nair V, Cohen CD, Scholey JW, Kretzler M.

PLoS One. 2010 Oct 18;5(10):e13451. doi: 10.1371/journal.pone.0013451.

13.

Comparison of information-theoretic to statistical methods for gene-gene interactions in the presence of genetic heterogeneity.

Sucheston L, Chanda P, Zhang A, Tritchler D, Ramanathan M.

BMC Genomics. 2010 Sep 3;11:487. doi: 10.1186/1471-2164-11-487.

14.

Using a higher criticism statistic to detect modest effects in a genome-wide study of rheumatoid arthritis.

Parkhomenko E, Tritchler D, Lemire M, Hu P, Beyene J.

BMC Proc. 2009 Dec 15;3 Suppl 7:S40.

15.

Pathway-based analysis of a genome-wide case-control association study of rheumatoid arthritis.

Beyene J, Hu P, Hamid JS, Parkhomenko E, Paterson AD, Tritchler D.

BMC Proc. 2009 Dec 15;3 Suppl 7:S128.

16.

Gene- or region-based analysis of genome-wide association studies.

Beyene J, Tritchler D, Asimit JL, Hamid JS.

Genet Epidemiol. 2009;33 Suppl 1:S105-10. doi: 10.1002/gepi.20481.

17.

Filtering genes for cluster and network analysis.

Tritchler D, Parkhomenko E, Beyene J.

BMC Bioinformatics. 2009 Jun 23;10:193. doi: 10.1186/1471-2105-10-193.

18.

Sparse canonical correlation analysis with application to genomic data integration.

Parkhomenko E, Tritchler D, Beyene J.

Stat Appl Genet Mol Biol. 2009;8:Article 1. doi: 10.2202/1544-6115.1406. Epub 2009 Jan 6.

PMID:
19222376
19.

Estimating number of clusters based on a general similarity matrix with application to microarray data.

Fallah S, Tritchler D, Beyene J.

Stat Appl Genet Mol Biol. 2008;7(1):Article24. doi: 10.2202/1544-6115.1261. Epub 2008 Aug 2.

PMID:
18764773
20.

Impact of normalization and filtering on linkage analysis of gene expression data.

Beyene J, Hu P, Parkhomenko E, Tritchler D.

BMC Proc. 2007;1 Suppl 1:S150. Epub 2007 Dec 18.

21.

Genome-wide sparse canonical correlation of gene expression with genotypes.

Parkhomenko E, Tritchler D, Beyene J.

BMC Proc. 2007;1 Suppl 1:S119. Epub 2007 Dec 18.

22.

Genetic Analysis Workshop 15: gene expression analysis and approaches to detecting multiple functional loci.

Cordell HJ, de Andrade M, Babron MC, Bartlett CW, Beyene J, Bickeböller H, Culverhouse R, Cupples LA, Daw EW, Dupuis J, Falk CT, Ghosh S, Goddard KA, Goode EL, Hauser ER, Martin LJ, Martinez M, North KE, Saccone NL, Schmidt S, Tapper W, Thomas D, Tritchler D, Vieland VJ, Wijsman EM, Wilcox MA, Witte JS, Yang Q, Ziegler A, Almasy L, Maccluer JW.

BMC Proc. 2007;1 Suppl 1:S1. Epub 2007 Dec 18. No abstract available.

23.

Multivariate analysis of complex gene expression and clinical phenotypes with genetic marker data.

Beyene J, Tritchler D, Bull SB, Cartier KC, Jonasdottir G, Kraja AT, Li N, Nock NL, Parkhomenko E, Rao JS, Stein CM, Sutradhar R, Waaijenborg S, Wang KS, Wang Y, Wolkow P.

Genet Epidemiol. 2007;31 Suppl 1:S103-9. Review.

PMID:
18046768
24.

Age and drug therapy are key prognostic factors for first clinical fracture in patients with primary osteoporosis.

Gajic-Veljanoski O, Sebaldt RJ, Davis AM, Tritchler D, Tomlinson G, Petrie A, Adachi JD, Cheung AM.

Osteoporos Int. 2007 Aug;18(8):1091-100. Epub 2007 Feb 24.

PMID:
17323112
25.

Cluster analysis of protein array results via similarity of Gene Ontology annotation.

Wolting C, McGlade CJ, Tritchler D.

BMC Bioinformatics. 2006 Jul 12;7:338.

26.

Pituitary growth hormone and growth hormone-releasing hormone receptor genes and associations with mammographic measures and serum growth hormone.

Mulhall C, Hegele RA, Cao H, Tritchler D, Yaffe M, Boyd NF.

Cancer Epidemiol Biomarkers Prev. 2005 Nov;14(11 Pt 1):2648-54.

27.

Albumin activates ERK via EGF receptor in human renal epithelial cells.

Reich H, Tritchler D, Herzenberg AM, Kassiri Z, Zhou X, Gao W, Scholey JW.

J Am Soc Nephrol. 2005 May;16(5):1266-78. Epub 2005 Apr 13.

28.

Mammographic densities and breast cancer risk.

Boyd NF, Lockwood GA, Martin LJ, Knight JA, Byng JW, Yaffe MJ, Tritchler DL.

Breast Dis. 1998 Aug;10(3-4):113-26.

PMID:
15687568
29.

Association between the T27C polymorphism in the cytochrome P450 c17alpha (CYP17) gene and risk factors for breast cancer.

Hong CC, Thompson HJ, Jiang C, Hammond GL, Tritchler D, Yaffe M, Boyd NF.

Breast Cancer Res Treat. 2004 Dec;88(3):217-30.

PMID:
15609124
30.

Cytochrome P450 1A2 (CYP1A2) activity and risk factors for breast cancer: a cross-sectional study.

Hong CC, Tang BK, Hammond GL, Tritchler D, Yaffe M, Boyd NF.

Breast Cancer Res. 2004;6(4):R352-65. Epub 2004 May 7.

31.

Cytochrome P450 1A2 (CYP1A2) activity, mammographic density, and oxidative stress: a cross-sectional study.

Hong CC, Tang BK, Rao V, Agarwal S, Martin L, Tritchler D, Yaffe M, Boyd NF.

Breast Cancer Res. 2004;6(4):R338-51. Epub 2004 May 7.

32.

Val158Met Polymorphism in catechol-O-methyltransferase gene associated with risk factors for breast cancer.

Hong CC, Thompson HJ, Jiang C, Hammond GL, Tritchler D, Yaffe M, Boyd NF.

Cancer Epidemiol Biomarkers Prev. 2003 Sep;12(9):838-47.

33.

A test of linkage for complex discrete and continuous traits in nuclear families.

Tritchler D, Liu Y, Fallah S.

Biometrics. 2003 Jun;59(2):382-92.

PMID:
12926723
34.

Heritability of mammographic density, a risk factor for breast cancer.

Boyd NF, Dite GS, Stone J, Gunasekara A, English DR, McCredie MR, Giles GG, Tritchler D, Chiarelli A, Yaffe MJ, Hopper JL.

N Engl J Med. 2002 Sep 19;347(12):886-94.

35.

Modeling complex disease with demographic and environmental covariates and a candidate gene marker.

Beyene J, Fallah S, Bull SB, Tritchler D, Chan V, Knight J.

Genet Epidemiol. 2001;21 Suppl 1:S423-8.

PMID:
11793712
36.

A unified framework for transmission-disequilibrium test analysis of discrete and continuous traits.

Liu Y, Tritchler D, Bull SB.

Genet Epidemiol. 2002 Jan;22(1):26-40.

PMID:
11754471
37.

Mammographic density as a marker of susceptibility to breast cancer: a hypothesis.

Boyd NF, Lockwood GA, Martin LJ, Byng JW, Yaffe MJ, Tritchler DL.

IARC Sci Publ. 2001;154:163-9. Review.

PMID:
11220655
38.

Breast cancer risk and measured mammographic density.

Yaffe MJ, Boyd NF, Byng JW, Jong RA, Fishell E, Lockwood GA, Little LE, Tritchler DL.

Eur J Cancer Prev. 1998 Feb;7 Suppl 1:S47-55.

PMID:
10866036
39.

A comparison of some allele-sharing based linkage analysis methods for detecting complex trait loci.

Liu Y, Mirea L, Pinnaduwage D, Fallah S, Tritchler D.

Genet Epidemiol. 1999;17 Suppl 1:S639-42.

PMID:
10597506
40.

Mammographic densities and risk of breast cancer among subjects with a family history of this disease.

Boyd NF, Lockwood GA, Martin LJ, Knight JA, Jong RA, Fishell E, Byng JW, Yaffe MJ, Tritchler DL.

J Natl Cancer Inst. 1999 Aug 18;91(16):1404-8.

PMID:
10451446
41.

Modelling study quality in meta-analysis.

Tritchler D.

Stat Med. 1999 Aug 30;18(16):2135-45.

PMID:
10441769
42.

Reasoning about data with directed graphs.

Tritchler D.

Stat Med. 1999 Aug 30;18(16):2067-76.

PMID:
10441763
43.

Macronutrient intake and change in mammographic density at menopause: results from a randomized trial.

Knight JA, Martin LJ, Greenberg CV, Lockwood GA, Byng JW, Yaffe MJ, Tritchler DL, Boyd NF.

Cancer Epidemiol Biomarkers Prev. 1999 Feb;8(2):123-8.

44.

Mammographic densities and breast cancer risk.

Boyd NF, Lockwood GA, Byng JW, Tritchler DL, Yaffe MJ.

Cancer Epidemiol Biomarkers Prev. 1998 Dec;7(12):1133-44. Review.

45.

Analysis of mammographic density and breast cancer risk from digitized mammograms.

Byng JW, Yaffe MJ, Jong RA, Shumak RS, Lockwood GA, Tritchler DL, Boyd NF.

Radiographics. 1998 Nov-Dec;18(6):1587-98. Review.

PMID:
9821201
46.

The relationship of anthropometric measures to radiological features of the breast in premenopausal women.

Boyd NF, Lockwood GA, Byng JW, Little LE, Yaffe MJ, Tritchler DL.

Br J Cancer. 1998 Nov;78(9):1233-8.

47.

Diet and breast cancer.

Boyd NF, Martin L, Lockwood G, Greenberg C, Yaffe M, Tritchler D.

Nutrition. 1998 Sep;14(9):722-4. Review. No abstract available.

PMID:
9760600
48.

4-1BB costimulatory signals preferentially induce CD8+ T cell proliferation and lead to the amplification in vivo of cytotoxic T cell responses.

Shuford WW, Klussman K, Tritchler DD, Loo DT, Chalupny J, Siadak AW, Brown TJ, Emswiler J, Raecho H, Larsen CP, Pearson TC, Ledbetter JA, Aruffo A, Mittler RS.

J Exp Med. 1997 Jul 7;186(1):47-55.

49.

Automated analysis of mammographic densities and breast carcinoma risk.

Byng JW, Yaffe MJ, Lockwood GA, Little LE, Tritchler DL, Boyd NF.

Cancer. 1997 Jul 1;80(1):66-74.

PMID:
9210710
50.

Effects at two years of a low-fat, high-carbohydrate diet on radiologic features of the breast: results from a randomized trial. Canadian Diet and Breast Cancer Prevention Study Group.

Boyd NF, Greenberg C, Lockwood G, Little L, Martin L, Byng J, Yaffe M, Tritchler D.

J Natl Cancer Inst. 1997 Apr 2;89(7):488-96.

PMID:
9086005

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