Kamila Czene

Prof. Kamila Czene

orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 March 2013 in Nature Genetics
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TCThe Breast and Ovarian Cancer Susceptibility Collaboration
The Breast and Ovarian Cancer Susceptibility Collaboration
KMKyriaki Michailidou
Kyriaki Michailidou
H(Hereditary Breast and Ovarian Cancer Research Group Netherlands (HEBON)
Hereditary Breast and Ovarian Cancer Research Group Netherlands (HEBON)
KIkConFab Investigators
kConFab Investigators
AGAustralian Ovarian Cancer Study Group
Australian Ovarian Cancer Study Group
DEDouglas F Easton
Douglas F Easton

23 July 2014 in Nature
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ASAustralian Ovarian Cancer Study
Australian Ovarian Cancer Study
JPJohn R. B. Perry
John R. B. Perry
TNThe Genica Network
The Genica Network
KFk Con Fab
k Con Fab
TSThe LifeLines Cohort Study
The LifeLines Cohort Study
KOKen K. Ong
Ken K. Ong
Here 106 genomic loci associated with age at menarche, a marker of puberty timing in females, are identified; these loci show enrichment for genes involved in nuclear hormone receptor function, body mass index, and rare disorders of puberty, and for genes located in imprinted regions, with parent-of-origin specific effects at several loci. The age at which females first experience menstruation, called menarche, is a heritable trait associated with risks for obesity, type 2 diabetes, cardiovascular disease, breast cancer and general mortality. This large-scale genome-wide association study identifies 123 signals at 106 genomic loci associated with age at menarche. New findings include parent-of-origin-specific allelic associations (both maternally and paternally driven) at three imprinted loci and the implication of retinoic acid and GABAB receptor II signalling and lysine-specific histone demethylation. These data bring new insights into the genetic architecture of puberty timing and suggest a model involving thousands of genetic variants. Age at menarche is a marker of timing of puberty in females. It varies widely between individuals, is a heritable trait and is associated with risks for obesity, type 2 diabetes, cardiovascular disease, breast cancer and all-cause mortality1. Studies of rare human disorders of puberty and animal models point to a complex hypothalamic-pituitary-hormonal regulation2,3, but the mechanisms that determine pubertal timing and underlie its links to disease risk remain unclear. Here, using genome-wide and custom-genotyping arrays in up to 182,416 women of European descent from 57 studies, we found robust evidence (P < 5 × 10−8) for 123 signals at 106 genomic loci associated with age at menarche. Many loci were associated with other pubertal traits in both sexes, and there was substantial overlap with genes implicated in body mass index and various diseases, including rare disorders of puberty. Menarche signals were enriched in imprinted regions, with three loci (DLK1-WDR25, MKRN3-MAGEL2 and KCNK9) demonstrating parent-of-origin-specific associations concordant with known parental expression patterns. Pathway analyses implicated nuclear hormone receptors, particularly retinoic acid and γ-aminobutyric acid-B2 receptor signalling, among novel mechanisms that regulate pubertal timing in humans. Our findings suggest a genetic architecture involving at least hundreds of common variants in the coordinated timing of the pubertal transition.

29 December 2010 in JNCI: Journal of the National Cancer Institute
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XYXiaohong Rose Yang
Xiaohong Rose Yang
JCJenny Chang-Claude
Jenny Chang-Claude
EGEllen L. Goode
Ellen L. Goode
FCFergus J. Couch
Fergus J. Couch
HNHeli Nevanlinna
Heli Nevanlinna
MGMontserrat Garcia-Closas
Montserrat Garcia-Closas
Previous studies have suggested that breast cancer risk factors are associated with estrogen receptor (ER) and progesterone receptor (PR) expression status of the tumors. We pooled tumor marker and epidemiological risk factor data from 35,568 invasive breast cancer case patients from 34 studies participating in the Breast Cancer Association Consortium. Logistic regression models were used in case-case analyses to estimate associations between epidemiological risk factors and tumor subtypes, and case-control analyses to estimate associations between epidemiological risk factors and the risk of developing specific tumor subtypes in 12 population-based studies. All statistical tests were two-sided. In case-case analyses, of the epidemiological risk factors examined, early age at menarche (≤12 years) was less frequent in case patients with PR(-) than PR(+) tumors (P = .001). Nulliparity (P = 3 × 10(-6)) and increasing age at first birth (P = 2 × 10(-9)) were less frequent in ER(-) than in ER(+) tumors. Obesity (body mass index [BMI] ≥ 30 kg/m(2)) in younger women (≤50 years) was more frequent in ER(-)/PR(-) than in ER(+)/PR(+) tumors (P = 1 × 10(-7)), whereas obesity in older women (>50 years) was less frequent in PR(-) than in PR(+) tumors (P = 6 × 10(-4)). The triple-negative (ER(-)/PR(-)/HER2(-)) or core basal phenotype (CBP; triple-negative and cytokeratins [CK]5/6(+) and/or epidermal growth factor receptor [EGFR](+)) accounted for much of the heterogeneity in parity-related variables and BMI in younger women. Case-control analyses showed that nulliparity, increasing age at first birth, and obesity in younger women showed the expected associations with the risk of ER(+) or PR(+) tumors but not triple-negative (nulliparity vs parity, odds ratio [OR] = 0.94, 95% confidence interval [CI] = 0.75 to 1.19, P = .61; 5-year increase in age at first full-term birth, OR = 0.95, 95% CI = 0.86 to 1.05, P = .34; obesity in younger women, OR = 1.36, 95% CI = 0.95 to 1.94, P = .09) or CBP tumors. This study shows that reproductive factors and BMI are most clearly associated with hormone receptor-positive tumors and suggest that triple-negative or CBP tumors may have distinct etiology.

27 March 2013 in Nature Genetics
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SBStig E Bojesen
Stig E Bojesen
KPKaren A Pooley
Karen A Pooley
SJSharon E Johnatty
Sharon E Johnatty
JBJonathan Beesley
Jonathan Beesley
KMKyriaki Michailidou
Kyriaki Michailidou
ADAlison M Dunning
Alison M Dunning
Stig Bojesen, Georgia Chenevix-Trench, Alison Dunning and colleagues report common variants at the TERT-CLPTM1L locus associated with mean telomere length measured in whole blood. They also identify associations at this locus to breast or ovarian cancer susceptibility and report functional studies in breast and ovarian cancer tissue and cell lines. TERT-locus SNPs and leukocyte telomere measures are reportedly associated with risks of multiple cancers. Using the Illumina custom genotyping array iCOGs, we analyzed ∼480 SNPs at the TERT locus in breast (n = 103,991), ovarian (n = 39,774) and BRCA1 mutation carrier (n = 11,705) cancer cases and controls. Leukocyte telomere measurements were also available for 53,724 participants. Most associations cluster into three independent peaks. The minor allele at the peak 1 SNP rs2736108 associates with longer telomeres (P = 5.8 × 10−7), lower risks for estrogen receptor (ER)-negative (P = 1.0 × 10−8) and BRCA1 mutation carrier (P = 1.1 × 10−5) breast cancers and altered promoter assay signal. The minor allele at the peak 2 SNP rs7705526 associates with longer telomeres (P = 2.3 × 10−14), higher risk of low-malignant-potential ovarian cancer (P = 1.3 × 10−15) and greater promoter activity. The minor alleles at the peak 3 SNPs rs10069690 and rs2242652 increase ER-negative (P = 1.2 × 10−12) and BRCA1 mutation carrier (P = 1.6 × 10−14) breast and invasive ovarian (P = 1.3 × 10−11) cancer risks but not via altered telomere length. The cancer risk alleles of rs2242652 and rs10069690, respectively, increase silencing and generate a truncated TERT splice variant.

11 April 2002 in International Journal of Cancer
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KCKamila Czene
Kamila Czene
PLPaul Lichtenstein
Paul Lichtenstein
KHKari Hemminki
Kari Hemminki
The genetic and environmental components in 15 common cancers were estimated using the nationwide Swedish Family‐Cancer Database. Tetrachoric correlations were used to describe similarity in cancer liability among family members. Structural equation modeling was used to derive estimates of the importance of genetic and environmental effects. Statistically significant estimates of proportion of cancer susceptibility, accounted for by genetic effects, were obtained for all studied cancers except for leukemia. The estimate was highest in thyroid cancer (53%), followed by tumors at endocrine glands (28%), testis (25%), breast (25%), cervix (22%), melanoma (21%), colon (13%), nervous system (12%), rectum (12%), non‐Hodgkin lymphoma (10%), lung (8%), kidney (8%), urinary bladder (7%), stomach (1%) and leukemia (1%). The estimates of shared environmental effects ranged from 0% (cervix) to 15% (stomach). The childhood shared environmental effects were most important in testicular cancer (17%), stomach cancer (13%) and cervix in situ (13%). Our results indicate that environment has a principal causative role in cancer at all studied sites except for thyroid. The relatively large effect of heritability in cancer at some sites, on the other hand, indicates that even though susceptibility genes have been described at many cancer sites, they are likely to explain only part of the genetic effects.

29 March 2009 in Nature Genetics
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SESearch
Search
SAShahana Ahmed
Shahana Ahmed
TCThe GENICA Consortium
The GENICA Consortium
KFk Con Fab
k Con Fab
AGAustralian Ovarian Cancer Study Group
Australian Ovarian Cancer Study Group
DEDouglas F Easton
Douglas F Easton