Literature DB >> 28667565

Is Low FMR1 CGG Repeat Length in Males Correlated with Family History of BRCA-Associated Cancers? An Exploratory Analysis of Medical Records.

Hallee C Adamsheck1,2, Elizabeth M Petty3, Jinkuk Hong4, Mei W Baker3,5, Murray H Brilliant6, Marsha R Mailick4.   

Abstract

The FMR1 gene has been studied extensively with regard to expansions and premutations, but much less research has focused on potential effects of low CGG repeat length. Previous studies have demonstrated that BRCA1/2 positive women are more likely to have an FMR1 genotype with one low CGG allele, and that women with both FMR1 alleles in the low CGG repeat range are more likely to have had breast cancer compared to women with normal numbers of CGG repeats. However, there has been no research as to whether low CGG repeat length impacts cancer risks in men. Therefore, this study aimed to examine cancer incidence and related risk factors in men with low CGG repeat length in the FMR1 gene. We utilized subject data from the Marshfield Personalized Medicine Research Project to compare cancer-related diagnoses between 878 males with low CGG repeat length (< 24 repeats) and 368 male controls with CGG repeats in the normal range (24 to 40 repeats). We utilized ICD-9 codes to examine various cancer diagnoses, family histories of cancer, other non-malignant neoplasms, cancer surveillance, and genetic susceptibility. Men with low CGG repeats were identified to have significantly higher rates of family history of any cancer type (p = 0.011), family history of any BRCA-associated cancer (p = 0.002), and specifically, family history of prostate cancer (p = 0.007). The mean number of BRCA-associated cancer diagnoses (breast, prostate, pancreatic, and melanoma) per individual in the low CGG group was slightly higher than that of the control group, with this difference trending toward significance (p = 0.091). Additionally, men with low CGG repeats had significantly higher rates of connective/soft tissue neoplasms (p = 0.026). Additional research is needed to replicate the observations reported in this preliminary exploratory study, particularly including verification of ICD-9 codes and family history by a genetic counselor.

Entities:  

Keywords:  BRCA; Breast cancer; Cancer risk; FMR1; Family history; Fragile X; Genetic susceptibility

Mesh:

Substances:

Year:  2017        PMID: 28667565     DOI: 10.1007/s10897-017-0116-5

Source DB:  PubMed          Journal:  J Genet Couns        ISSN: 1059-7700            Impact factor:   2.537


  16 in total

1.  Prevalence of CGG expansions of the FMR1 gene in a US population-based sample.

Authors:  Marsha Mailick Seltzer; Mei Wang Baker; Jinkuk Hong; Matthew Maenner; Jan Greenberg; Daniel Mandel
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2012-05-22       Impact factor: 3.568

2.  The FMR1 CGG repeat test is not a candidate prescreening tool for identifying women with a high probability of being carriers of BRCA mutations.

Authors:  Maria Teresa Ricci; Loredana Pennese; Viviana Gismondi; Chiara Perfumo; Marina Grasso; Elena Gennaro; Paolo Bruzzi; Liliana Varesco
Journal:  Eur J Hum Genet       Date:  2013-09-25       Impact factor: 4.246

3.  Do BRCA1/2 mutations and low FMR1 alleles interact or not?

Authors:  Norbert Gleicher; Andrea Weghofer; David H Barad
Journal:  Eur J Hum Genet       Date:  2013-09-25       Impact factor: 4.246

4.  Cancer Incidence in HIV-Infected Versus Uninfected Veterans: Comparison of Cancer Registry and ICD-9 Code Diagnoses.

Authors:  Lesley S Park; Janet P Tate; Maria C Rodriguez-Barradas; David Rimland; Matthew Bidwell Goetz; Cynthia Gibert; Sheldon T Brown; Michael J Kelley; Amy C Justice; Robert Dubrow
Journal:  J AIDS Clin Res       Date:  2014-07

5.  FMR1 CGG expansions: prevalence and sex ratios.

Authors:  Matthew J Maenner; Mei W Baker; Karl W Broman; Jianan Tian; Janel K Barnes; Anne Atkins; Elizabeth McPherson; Jinkuk Hong; Murray H Brilliant; Marsha R Mailick
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2013-06-05       Impact factor: 3.568

6.  Comparison of self-reported and database-linked family history of cancer data in a case-control study.

Authors:  R A Kerber; M L Slattery
Journal:  Am J Epidemiol       Date:  1997-08-01       Impact factor: 4.897

Review 7.  Validity of self-reported family history of cancer: A systematic literature review on selected cancers.

Authors:  Jonas Fiederling; Ahmad Zia Shams; Ulrike Haug
Journal:  Int J Cancer       Date:  2016-06-23       Impact factor: 7.396

Review 8.  Cancer risks among BRCA1 and BRCA2 mutation carriers.

Authors:  E Levy-Lahad; E Friedman
Journal:  Br J Cancer       Date:  2007-01-15       Impact factor: 7.640

9.  Low-normal FMR1 CGG repeat length: phenotypic associations.

Authors:  Marsha R Mailick; Jinkuk Hong; Paul Rathouz; Mei W Baker; Jan S Greenberg; Leann Smith; Matthew Maenner
Journal:  Front Genet       Date:  2014-09-09       Impact factor: 4.599

10.  The role of BRCA1 and BRCA2 mutations in prostate, pancreatic and stomach cancers.

Authors:  Helen Cavanagh; Katherine M A Rogers
Journal:  Hered Cancer Clin Pract       Date:  2015-08-01       Impact factor: 2.857

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  6 in total

1.  Vagal Tone as a Putative Mechanism for Pragmatic Competence: An Investigation of Carriers of the FMR1 Premutation.

Authors:  Jessica Klusek; Amanda J Fairchild; Jane E Roberts
Journal:  J Autism Dev Disord       Date:  2019-01

2.  Low normal FMR1 genotype in older adult women: Psychological well-being and motor function.

Authors:  Jessica Klusek; Roger Newman-Norlund; Amanda J Fairchild; Sarah Newman-Norlund; Sara Sayers; Jill C Stewart; Elizabeth Berry-Kravis; Julius Fridriksson
Journal:  Arch Gerontol Geriatr       Date:  2022-08-12       Impact factor: 4.163

3.  The Phenotypic Profile Associated With the FMR1 Premutation in Women: An Investigation of Clinical-Behavioral, Social-Cognitive, and Executive Abilities.

Authors:  Nell Maltman; Janna Guilfoyle; Kritika Nayar; Gary E Martin; Molly Winston; Joseph C Y Lau; Lauren Bush; Shivani Patel; Michelle Lee; John Sideris; Deborah A Hall; Lili Zhou; Kevin Sharp; Elizabeth Berry-Kravis; Molly Losh
Journal:  Front Psychiatry       Date:  2021-08-06       Impact factor: 5.435

4.  Curvilinear Association Between Language Disfluency and FMR1 CGG Repeat Size Across the Normal, Intermediate, and Premutation Range.

Authors:  Jessica Klusek; Anna Porter; Leonard Abbeduto; Tatyana Adayev; Flora Tassone; Marsha R Mailick; Anne Glicksman; Bridgette L Tonnsen; Jane E Roberts
Journal:  Front Genet       Date:  2018-08-24       Impact factor: 4.599

5.  Unveiling the m6A Methylation Regulator Links between Prostate Cancer and Periodontitis by Transcriptomic Analysis.

Authors:  Dexin Ding; Guobin Liu; Jianing Gao; Muyang Cao
Journal:  Dis Markers       Date:  2022-09-12       Impact factor: 3.464

Review 6.  The emerging role of RNA N6-methyladenosine methylation in breast cancer.

Authors:  Fangchao Zheng; Feng Du; Jiuda Zhao; Xue Wang; Yiran Si; Peng Jin; Haili Qian; Binghe Xu; Peng Yuan
Journal:  Biomark Res       Date:  2021-05-27
  6 in total

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