Thérèse Truong
French Institute of Health and Medical Research
Genome-wide association studyCancerSingle-nucleotide polymorphismBreast cancerMedicine
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Publications 100
Last. Thérèse TruongH-Index: 36
view all 9 authors...
BACKGROUND: GSTM1 and GSTT1 are involved in detoxification of xenobiotics, products of oxidative stress and in steroid hormones metabolism. We investigated whether GSTM1 and GSTT1 gene deletion was associated with DTC risk and explored interaction with non-genetic risk factors of DTC. METHODS: The study included 661 DTC cases and 736 controls from two case-control studies conducted in France and New Caledonia. Odds ratios (OR) and their confidence interval (CI) for DTC associated with GST genoty...
#1Maria Escala-garcia (NKI-AVL: Netherlands Cancer Institute)H-Index: 1
#2Jean Abraham (University of Cambridge)H-Index: 15
Last. Marjanka K. Schmidt (NKI-AVL: Netherlands Cancer Institute)H-Index: 62
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Identifying the underlying genetic drivers of the heritability of breast cancer prognosis remains elusive. We adapt a network-based approach to handle underpowered complex datasets to provide new insights into the potential function of germline variants in breast cancer prognosis. This network-based analysis studies ~7.3 million variants in 84,457 breast cancer patients in relation to breast cancer survival and confirms the results on 12,381 independent patients. Aggregating the prognostic effec...
#1Laura Fachal (University of Cambridge)H-Index: 20
#2Hugues Aschard (Harvard University)H-Index: 21
Last. Alison M. Dunning (University of Cambridge)H-Index: 81
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Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants in each one. In parallel, we used a Bayesian approach (PAINTOR) that combines genetic association, linkage disequilibrium and enriched gen...
5 CitationsSource
#1Gisella FiglioliH-Index: 7
#2Abctb Investigators (Autonomous University of Barcelona)H-Index: 3
Last. kConFab (UH: University of Helsinki)H-Index: 2
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Breast cancer is a common disease partially caused by genetic risk factors. Germline pathogenic variants in DNA repair genes BRCA1, BRCA2, PALB2, ATM, and CHEK2 are associated with breast cancer risk. FANCM, which encodes for a DNA translocase, has been proposed as a breast cancer predisposition gene, with greater effects for the ER-negative and triple-negative breast cancer (TNBC) subtypes. We tested the three recurrent protein-truncating variants FANCM:p.Arg658*, p.Gln1701*, and p.Arg1931* for...
3 CitationsSource
#1Pooja Middha Kapoor (DKFZ: German Cancer Research Center)H-Index: 1
#2Sara Lindstroem (UW: University of Washington)H-Index: 46
Last. Argyrios Ziogas (UCI: University of California, Irvine)H-Index: 62
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1 CitationsSource
#1Haoyu Zhang (Johns Hopkins University)H-Index: 2
#1Haoyu Zhang (Johns Hopkins University)H-Index: 3
Last. Nilanjan Chatterjee (Johns Hopkins University)H-Index: 74
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Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype. To identify novel loci, we performed a genome-wide association study (GWAS) including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth fac...
2 CitationsSource
#1Melanie Paquet (French Institute of Health and Medical Research)
#2Nitin Shivappa (USC: University of South Carolina)H-Index: 34
Last. Thérèse Truong (French Institute of Health and Medical Research)H-Index: 36
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#1Maria Escala-garcia (NKI-AVL: Netherlands Cancer Institute)H-Index: 1
#2Qi Guo (University of Cambridge)H-Index: 8
Last. Marjanka K. Schmidt (NKI-AVL: Netherlands Cancer Institute)H-Index: 62
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Background: We examined the associations between germline variants and breast cancer mortality using a large meta-analysis of women of European ancestry. Methods: Meta-analyses included summary estimates based on Cox models of twelve datasets using ~10.4 million variants for 96,661 women with breast cancer and 7697 events (breast cancer-specific deaths). Oestrogen receptor (ER)-specific analyses were based on 64,171 ER-positive (4116) and 16,172 ER-negative (2125) patients. We evaluated the prob...
2 CitationsSource
#1Marco MatejcicH-Index: 1
#2Ed SaundersH-Index: 23
Last. Marie SanchezH-Index: 16
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The original version of this Article contained an error in the spelling of the author Manuela Gago-Dominguez, which was incorrectly given as Manuela G. Dominguez. This has now been corrected in both the PDF and HTML versions of the Article.
#1Fredrick R. Schumacher (Case Western Reserve University)H-Index: 55
#2Olama Aaa. (University of Cambridge)H-Index: 1
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In the version of this article initially published, the name of author Manuela Gago-Dominguez was misspelled as Manuela Gago Dominguez. The error has been corrected in the HTML and PDF version of the article.