BACKGROUND: Familial nonmedullary thyroid cancer (FNMTC) is associated with earlier onset and more aggressive behavior than its sporadic counterpart. Although candidate chromosomal loci have been proposed for isolated families with variants of FNMTC, the etiology of most cases is unknown. We aimed to identify loci linked to FNMTC susceptibility using single-nucleotide polymorphism (SNP) array-based linkage analysis in a broad sampling of affected families. METHODS: We enrolled and pedigreed 38 FNMTC families. Genomic DNA was extracted from the peripheral blood of 110 relatives, and hybridized to Affymetrix SNP arrays. We performed genotyping and linkage analysis, calculating exponential logarithm-of-the-odds (LOD) scores to identify chromosomal loci with a significant likelihood of linkage. RESULTS: Forty-nine affected and 61 unaffected members of FNMTC families were genotyped. In pooled linkage analysis of all families, 2 distinct loci with significant linkage were detected at 6q22 and 1q21 (LOD=3.3 and 3.04, respectively). CONCLUSION: We have identified 2 loci on chromosomes 1 and 6 that demonstrate linkage in a broad sampling of FNMTC families. Our findings suggest the presence of germline mutations in heretofore-undiscovered genes at these loci, which may potentially lead to accurate genetic tests. Future studies will consist of technical validation and subset analyses of higher-risk pedigrees.
BACKGROUND: Familial nonmedullary thyroid cancer (FNMTC) is associated with earlier onset and more aggressive behavior than its sporadic counterpart. Although candidate chromosomal loci have been proposed for isolated families with variants of FNMTC, the etiology of most cases is unknown. We aimed to identify loci linked to FNMTC susceptibility using single-nucleotide polymorphism (SNP) array-based linkage analysis in a broad sampling of affected families. METHODS: We enrolled and pedigreed 38 FNMTC families. Genomic DNA was extracted from the peripheral blood of 110 relatives, and hybridized to Affymetrix SNP arrays. We performed genotyping and linkage analysis, calculating exponential logarithm-of-the-odds (LOD) scores to identify chromosomal loci with a significant likelihood of linkage. RESULTS: Forty-nine affected and 61 unaffected members of FNMTC families were genotyped. In pooled linkage analysis of all families, 2 distinct loci with significant linkage were detected at 6q22 and 1q21 (LOD=3.3 and 3.04, respectively). CONCLUSION: We have identified 2 loci on chromosomes 1 and 6 that demonstrate linkage in a broad sampling of FNMTC families. Our findings suggest the presence of germline mutations in heretofore-undiscovered genes at these loci, which may potentially lead to accurate genetic tests. Future studies will consist of technical validation and subset analyses of higher-risk pedigrees.
Authors: Sandya Liyanarachchi; Anna Wojcicka; Wei Li; Malgorzata Czetwertynska; Elzbieta Stachlewska; Rebecca Nagy; Kevin Hoag; Bernard Wen; Rafal Ploski; Matthew D Ringel; Izabella Kozłowicz-Gudzinska; Wojciech Gierlikowski; Krystian Jazdzewski; Huiling He; Albert de la Chapelle Journal: Thyroid Date: 2013-08-29 Impact factor: 6.568
Authors: Huiling He; Wei Li; Daniel F Comiskey; Sandya Liyanarachchi; Taina T Nieminen; Yanqiang Wang; Katherine E DeLap; Pamela Brock; Albert de la Chapelle Journal: Thyroid Date: 2020-02 Impact factor: 6.568
Authors: Marta Sarquis; Debora C Moraes; Luciana Bastos-Rodrigues; Pedro G Azevedo; Adauto V Ramos; Fabiana Versiani Reis; Paula V Dande; Isabela Paim; Eitan Friedman; Luiz De Marco Journal: Endocr Pathol Date: 2020-03 Impact factor: 3.943
Authors: Benjamin O'Brien; Gregg H Jossart; Yuko Ito; Karin M Greulich-Bode; Jingly F Weier; Santiago Munne; Orlo H Clark; Heinz-Ulrich G Weier Journal: Open Cell Signal J Date: 2010
Authors: Huiling He; Agnieszka Bronisz; Sandya Liyanarachchi; Rebecca Nagy; Wei Li; Yungui Huang; Keiko Akagi; Motoyasu Saji; Dorota Kula; Anna Wojcicka; Nikhil Sebastian; Bernard Wen; Zbigniew Puch; Michal Kalemba; Elzbieta Stachlewska; Malgorzata Czetwertynska; Joanna Dlugosinska; Kinga Dymecka; Rafal Ploski; Marek Krawczyk; Patrick J Morrison; Matthew D Ringel; Richard T Kloos; Krystian Jazdzewski; David E Symer; Veronica J Vieland; Michael Ostrowski; Barbara Jarząb; Albert de la Chapelle Journal: J Clin Endocrinol Metab Date: 2013-03-28 Impact factor: 5.958