Literature DB >> 26554920

The Heritability of Breast Cancer among Women in the Nordic Twin Study of Cancer.

Sören Möller1, Lorelei A Mucci2, Jennifer R Harris3, Thomas Scheike4, Klaus Holst4, Ulrich Halekoh5, Hans-Olov Adami6, Kamila Czene7, Kaare Christensen8, Niels V Holm9, Eero Pukkala10, Axel Skytthe8, Jaakko Kaprio11, Jacob B Hjelmborg8.   

Abstract

BACKGROUND: Family history is an established risk factor for breast cancer. Although some important genetic factors have been identified, the extent to which familial risk can be attributed to genetic factors versus common environment remains unclear.
METHODS: We estimated the familial concordance and heritability of breast cancer among 21,054 monozygotic and 30,939 dizygotic female twin pairs from the Nordic Twin Study of Cancer, the largest twin study of cancer in the world. We accounted for left-censoring, right-censoring, as well as the competing risk of death.
RESULTS: From 1943 through 2010, 3,933 twins were diagnosed with breast cancer. The cumulative lifetime incidence of breast cancer taking competing risk of death into account was 8.1% for both zygosities, although the cumulative risk for twins whose co-twins had breast cancer was 28% among monozygotic and 20% among dizygotic twins. The heritability of liability to breast cancer was 31% [95% confidence interval (CI), 10%-51%] and the common environmental component was 16% (95% CI, 10%-32%). For premenopausal breast cancer these estimates were 27% and 12%, respectively, and for postmenopausal breast cancer 22% and 16%, respectively. The relative contributions of genetic and environmental factors were constant between ages 50 and 96. Our results are compatible with the Peto-Mack hypothesis.
CONCLUSION: Our findings indicate that familial factors explain almost half of the variation in liability to develop breast cancer, and results were similar for pre- and postmenopausal breast cancer IMPACT: We estimate heritability of breast cancer, taking until now ignored sources of bias into account. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 26554920     DOI: 10.1158/1055-9965.EPI-15-0913

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  21 in total

1.  Heritability of mammographic breast density.

Authors:  D Gareth Evans; Elke M van Veen; Anthony Howell; Susan Astley
Journal:  Quant Imaging Med Surg       Date:  2020-12

2.  Age dependency of the polygenic risk score for colorectal cancer.

Authors:  Shuai Li; John L Hopper
Journal:  Am J Hum Genet       Date:  2021-03-04       Impact factor: 11.025

3.  Does mammographic density mediate risk factor associations with breast cancer? An analysis by tumor characteristics.

Authors:  Megan S Rice; Rulla M Tamimi; Kimberly A Bertrand; Christopher G Scott; Matthew R Jensen; Aaron D Norman; Daniel W Visscher; Yunn-Yi Chen; Kathleen R Brandt; Fergus J Couch; John A Shepherd; Bo Fan; Fang-Fang Wu; Lin Ma; Laura C Collins; Steven R Cummings; Karla Kerlikowske; Celine M Vachon
Journal:  Breast Cancer Res Treat       Date:  2018-03-03       Impact factor: 4.872

4.  The Danish Twin Registry: An Updated Overview.

Authors:  Dorthe Almind Pedersen; Lisbeth Aagaard Larsen; Marianne Nygaard; Jonas Mengel-From; Matt McGue; Christine Dalgård; Lars Hvidberg; Jacob Hjelmborg; Axel Skytthe; Niels V Holm; Kirsten Ohm Kyvik; Kaare Christensen
Journal:  Twin Res Hum Genet       Date:  2019-09-23       Impact factor: 1.587

5.  Differences in the Rate of in Situ Mammary Gland Development and Other Developmental Endpoints in Three Strains of Female Rat Commonly Used in Mammary Carcinogenesis Studies: Implications for Timing of Carcinogen Exposure.

Authors:  Jason P Stanko; Grace E Kissling; Vesna A Chappell; Suzanne E Fenton
Journal:  Toxicol Pathol       Date:  2016-09-09       Impact factor: 1.902

6.  A family-based, genome-wide association study of young-onset breast cancer: inherited variants and maternally mediated effects.

Authors:  Katie M O'Brien; Min Shi; Dale P Sandler; Jack A Taylor; Dmitri V Zaykin; Jean Keller; Alison S Wise; Clarice R Weinberg
Journal:  Eur J Hum Genet       Date:  2016-02-17       Impact factor: 4.246

Review 7.  Genetics in palliative oncology: a missing agenda? A review of the literature and future directions.

Authors:  April Morrow; Chris Jacobs; Megan Best; Sian Greening; Kathy Tucker
Journal:  Support Care Cancer       Date:  2017-12-16       Impact factor: 3.603

8.  Survival model methods for analyses of cancer incidence trends in young adults.

Authors:  Wan Yang; Rebecca D Kehm; Mary Beth Terry
Journal:  Stat Med       Date:  2020-02-05       Impact factor: 2.373

Review 9.  Mapping Mammary Tumor Traits in the Rat.

Authors:  Michael J Flister; Amit Joshi; Carmen Bergom; Hallgeir Rui
Journal:  Methods Mol Biol       Date:  2019

10.  Inherited factors contribute to an inverse association between preeclampsia and breast cancer.

Authors:  Haomin Yang; Wei He; Mikael Eriksson; Jingmei Li; Natalie Holowko; Flaminia Chiesa; Per Hall; Kamila Czene
Journal:  Breast Cancer Res       Date:  2018-01-23       Impact factor: 6.466

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