Abstract B143: Genomic analysis of Fanconi Anemia mutations reveals ancestry-associated differences in carrier frequency

Abstract Fanconi Anemia (FA) is a rare genetic disorder caused by pathogenic mutations in one or more of the 23 genes in the FANC gene family. The FA pathway is primarily responsible for double-strand break DNA repair, specifically mending interstrand crosslink (ICL) DNA lesions. Dysfunction in this pathway causes genomic instability, leading to a variety of symptoms, including progressive bone marrow failure, aplastic anemia, and a greatly increased risk of cancer, particularly acute myeloid leukemia (AML), and later in life, squamous cell carcinomas of the head and neck. Given its clinical severity, early diagnosis of FA is crucial for effective treatment and management of the disease. Further, knowledge of an individual’s carrier status could impact family planning decisions and help advise cascade genetic counseling and testing for related individuals. Emerging studies suggest that the carrier frequency of FA-associated mutations may vary across different genetic ancestry groups, potentially contributing to differences in FA and FA-associated cancer prevalence. To investigate the differential prevalence of pathogenic FANC variants by ancestry in the general population, we leveraged data from the gnomAD and All of Us databases to assess FA carrier frequencies across genetic ancestry groups. We used CADD and AlphaMissense computational variant effect prediction tools to identify population-prevalent pathogenic carrier frequencies for variants across the 23 FANC genes and analyzed differences in variant distributions by ancestry. Findings highlight the importance of ancestry in FA variant interpretation and lay the groundwork for future studies investigating the clinical implications of these prevalence disparities in FA, ultimately aiming to refine FA diagnostic and screening approaches across racially and ethnically diverse groups. Citation Format: Andrew L. Araneo, Kyriaki Founta, Nyasha Chambwe. Genomic analysis of Fanconi Anemia mutations reveals ancestry-associated differences in carrier frequency [abstract]. In: Proceedings of the 18th AACR Conference on the Science of Cancer Health Disparities; 2025 Sep 18-21; Baltimore, MD. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2025;34(9 Suppl):Abstract nr B143.

Authors

Institutions

Publication Details

Journal
Cancer Epidemiology Biomarkers & Prevention
Published
2025-09-18
DOI
https://doi.org/10.1158/1538-7755.disp25-b143
Primary Topic
DNA and Nucleic Acid Chemistry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract B143: Genomic analysis of Fanconi Anemia mutations reveals ancestry-associated differences in carrier frequency

Nyasha Chambwe, Kyriaki Founta, Andrew L. Araneo
Cancer Epidemiology Biomarkers & Prevention
DNA and Nucleic Acid Chemistry
article

Abstract B143: Genomic analysis of Fanconi Anemia mutations reveals ancestry-associated differences in carrier frequency

Nyasha Chambwe, Kyriaki Founta, Andrew L. Araneo
article en

Abstract

Abstract Fanconi Anemia (FA) is a rare genetic disorder caused by pathogenic mutations in one or more of the 23 genes in the FANC gene family. The FA pathway is primarily responsible for double-strand break DNA repair, specifically mending interstrand crosslink (ICL) DNA lesions. Dysfunction in this pathway causes genomic instability, leading to a variety of symptoms, including progressive bone marrow failure, aplastic anemia, and a greatly increased risk of cancer, particularly acute myeloid leukemia (AML), and later in life, squamous cell carcinomas of the head and neck. Given its clinical severity, early diagnosis of FA is crucial for effective treatment and management of the disease. Further, knowledge of an individual’s carrier status could impact family planning decisions and help advise cascade genetic counseling and testing for related individuals. Emerging studies suggest that the carrier frequency of FA-associated mutations may vary across different genetic ancestry groups, potentially contributing to differences in FA and FA-associated cancer prevalence. To investigate the differential prevalence of pathogenic FANC variants by ancestry in the general population, we leveraged data from the gnomAD and All of Us databases to assess FA carrier frequencies across genetic ancestry groups. We used CADD and AlphaMissense computational variant effect prediction tools to identify population-prevalent pathogenic carrier frequencies for variants across the 23 FANC genes and analyzed differences in variant distributions by ancestry. Findings highlight the importance of ancestry in FA variant interpretation and lay the groundwork for future studies investigating the clinical implications of these prevalence disparities in FA, ultimately aiming to refine FA diagnostic and screening approaches across racially and ethnically diverse groups. Citation Format: Andrew L. Araneo, Kyriaki Founta, Nyasha Chambwe. Genomic analysis of Fanconi Anemia mutations reveals ancestry-associated differences in carrier frequency [abstract]. In: Proceedings of the 18th AACR Conference on the Science of Cancer Health Disparities; 2025 Sep 18-21; Baltimore, MD. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2025;34(9 Suppl):Abstract nr B143.

Cancer Epidemiology Biomarkers & PreventionVol. 34(9_Supplement)
Feinstein Institute for Medical Research (US), Donald & Barbara Zucker School of Medicine at Hofstra/Northwell (US)
Openalex Percentile: Top 78%
DNA and Nucleic Acid Chemistry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.