Lynch syndrome integrative epidemiology and genetics (LINEAGE): rationale for cohort design

Fam Cancer. 2026 May 6;25(2):49. doi: 10.1007/s10689-026-00552-5.

ABSTRACT

BACKGROUND: The Lynch syndrome INtegrative Epidemiology And GEnetics (LINEAGE) consortium was established to address gaps in understanding genotype-specific cancer risks and risk-modifiers in contemporary North American Lynch syndrome (LS) populations. LINEAGE is a multi-center, longitudinal cohort to systematically collect data on risk factors, adherence to care, quality of surveillance, and patient-, provider-, and system-level factors associated with incident LS-associated cancers.

METHODS: LINEAGE recruits individuals with confirmed pathogenic or likely pathogenic variants in LS-associated genes from participating institutions. Data includes retrospective and prospective collection, encompassing clinical abstraction (demographics, surgical history, endoscopic data, treatments), patient-reported surveys (behavioral/lifestyle factors, quality of life, procedures), endoscopist-level data, and biosample metadata. A standardized REDCap database, data harmonization protocols, and a virtual biobank support reproducibility and linkage of clinical data and biosamples. Rigorous quality assurance/quality control processes are embedded for data integrity.

RESULTS: Participating centers will contribute data to determine gene-specific risks, and gene-environment interactions for Lynch-associated, and other cancers. We will evaluate associations with exposure to, and quality of cancer risk-reduction care, including endoscopic surveillance, risk-reduction surgery, and chemoprevention. The inclusion of provider-level variables, such as endoscopist training and experience, enables unique research into modifiers of post-endoscopy cancer risk. The linked biosample resources will further facilitate mechanistic studies and biomarker discovery.

CONCLUSIONS: LINEAGE provides a robust platform for advancing LS research by integration of clinical, pathological, epidemiological and genetic data across institutions. Its standardized, collaborative framework enhances the validity and generalizability of risk estimates that will guide decision-making and policy for surveillance to ultimately reduce morbidity and mortality for individuals with Lynch syndrome.

PMID:42089916 | DOI:10.1007/s10689-026-00552-5

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