Sock Hoai Chan1, Ying Ni2, Shao-Tzu Li1, Jing Xian Teo3, Nur Diana Binte Ishak1, Weng Khong Lim3,4,5, Joanne Ngeow1,6,7. 1. Division of Medical Oncology, National Cancer Centre Singapore, Cancer Genetics Service, Singapore. 2. Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, USA. 3. SingHealth Duke-NUS Institute of Precision Medicine, Singapore. 4. Cancer and Stem Cell Biology Program, Duke-NUS Medical School Singapore, Singapore. 5. SingHealth Duke-NUS Genomic Medicine Centre, Singapore. 6. Oncology Academic Clinical Program, Duke-NUS Medical School, Singapore. 7. Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore.
Abstract
BACKGROUND: Fanconi anemia (FA) is a rare genetic disorder associated with hematological disorders and solid tumor predisposition. Owing to phenotypic heterogeneity, some patients remain undetected until adulthood, usually following cancer diagnoses. The uneven prevalence of FA cases with different underlying FA gene mutations worldwide suggests variable genetic distribution across populations. Here, we aim to assess the genetic spectrum of FA-associated genes across populations of varying ancestries and explore potential genotype-phenotype associations in cancer. METHODS: Carrier frequency and variant spectrum of potentially pathogenic germline variants in 17 FA genes (excluding BRCA1/FANCS, BRCA2/FANCD1, BRIP1/FANCJ, PALB2/FANCN, RAD51C/FANCO) were evaluated in 3523 Singaporeans and 7 populations encompassing Asian, European, African, and admixed ancestries from the Genome Aggregation Database. Germline and somatic variants of 17 FA genes in 7 cancer cohorts from The Cancer Genome Atlas were assessed to explore genotype-phenotype associations. RESULTS: Germline variants in FANCA were consistently more frequent in all populations. Similar trends in carrier frequency and variant spectrum were detected in Singaporeans and East Asians, both distinct from other ancestry groups, particularly in the lack of recurrent variants. Our exploration of The Cancer Genome Atlas dataset suggested higher germline and somatic mutation burden between FANCA and FANCC with head and neck and lung squamous cell carcinomas as well as FANCI and SLX4/FANCP with uterine cancer, but the analysis was insufficiently powered to detect any statistical significance. CONCLUSION: Our findings highlight the diverse genetic spectrum of FA-associated genes across populations of varying ancestries, emphasizing the need to include all known FA-related genes for accurate molecular diagnosis of FA.
BACKGROUND: Fanconi anemia (FA) is a rare genetic disorder associated with hematological disorders and solid tumor predisposition. Owing to phenotypic heterogeneity, some patients remain undetected until adulthood, usually following cancer diagnoses. The uneven prevalence of FA cases with different underlying FA gene mutations worldwide suggests variable genetic distribution across populations. Here, we aim to assess the genetic spectrum of FA-associated genes across populations of varying ancestries and explore potential genotype-phenotype associations in cancer. METHODS: Carrier frequency and variant spectrum of potentially pathogenic germline variants in 17 FA genes (excluding BRCA1/FANCS, BRCA2/FANCD1, BRIP1/FANCJ, PALB2/FANCN, RAD51C/FANCO) were evaluated in 3523 Singaporeans and 7 populations encompassing Asian, European, African, and admixed ancestries from the Genome Aggregation Database. Germline and somatic variants of 17 FA genes in 7 cancer cohorts from The Cancer Genome Atlas were assessed to explore genotype-phenotype associations. RESULTS: Germline variants in FANCA were consistently more frequent in all populations. Similar trends in carrier frequency and variant spectrum were detected in Singaporeans and East Asians, both distinct from other ancestry groups, particularly in the lack of recurrent variants. Our exploration of The Cancer Genome Atlas dataset suggested higher germline and somatic mutation burden between FANCA and FANCC with head and neck and lung squamous cell carcinomas as well as FANCI and SLX4/FANCP with uterine cancer, but the analysis was insufficiently powered to detect any statistical significance. CONCLUSION: Our findings highlight the diverse genetic spectrum of FA-associated genes across populations of varying ancestries, emphasizing the need to include all known FA-related genes for accurate molecular diagnosis of FA.
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