Evidence map›Paper›PMID 42089916›Full record

ArticleFamilial cancer2026

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

Swati G Patel, Holli A Loomans-Kropp, Zachariah H Foda, Bryson W Katona, Suzi Birz, Carol A Burke, Jordan Clawson, Brian Furner, Camille Hochheimer, Elizabeth Magnan and 36 more

Abstract readClinical Trial Protocol
PubMed Publisher
In one paragraph

Article in Familial cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Birth Cohort Effects on Colorectal Cancer Onset in Lynch Syndrome.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

46 authors.

Swati G PatelUniversity of Colorado Anschutz Medical Center, 1635 Aurora Court, Aurora, CO, 80045, USA. Swati.Patel@cuanschutz.edu.
Holli A Loomans-KroppThe Ohio State University, Columbus, USA.
Zachariah H FodaJohns Hopkins University School of Medicine, Baltimore, USA.
Bryson W KatonaUniversity of Pennsylvania Perelman School of Medicine, Philadelphia, USA.
Suzi BirzUniversity of Chicago, Chicago, USA.
Carol A BurkeCleveland Clinic, Cleveland, USA.
Jordan ClawsonUniversity of Colorado Anschutz Medical Center, 1635 Aurora Court, Aurora, CO, 80045, USA.
Brian FurnerUniversity of Chicago, Chicago, USA.
Camille HochheimerUniversity of Colorado Anschutz Medical Center, 1635 Aurora Court, Aurora, CO, 80045, USA.
Elizabeth MagnanUniversity of Colorado Anschutz Medical Center, 1635 Aurora Court, Aurora, CO, 80045, USA.
Luigi RicciardielloThe University of Texas at MD Anderson Cancer Center, Houston, USA.
Harminder SinghUniversity of Manitoba, Winnipeg, Canada.
Samuel VolchenboumUniversity of Chicago, Chicago, USA.
Michael WatkinsUniversity of Chicago, Chicago, USA.
Timothy YenLoma Linda University, Loma Linda, USA.
Mohammad AbbassMemorial Sloan Kettering Cancer Center, New York City, USA.
Nicholas J BartellUniversity of Rochester Medical Center, Rochester, USA.
Beth DudleyUniversity of Pittsburgh, Pittsburgh, USA.
Luke EngelkingUT Southwestern Medical Center, Dallas, USA.
Jose GuillemPenn State Medical Center, Hershey, USA.
Robert HollisUniversity of Alabama at Birmingham, Birmingham, USA.
Gregory IdosCity of Hope, Duarte, USA.
Blake A JonesEndeavor Health, Evanston, USA.
Priyanka KanthMedStar Georgetown University Hospital, Washington, DC, USA.
Fay KastrinosColumbia University Irving Medical Center, New York City, USA.
Dan LiKaiser Permanente Northern California, Oakland, USA.
Aimee L LucasIcahn School of Medicine at Mount Sinai, New York City, USA.
Gautam N MankaneyVirginia Mason Franciscan Health, Seattle, USA.
Jennifer K MarattIndiana University School of Medicine, Indianapolis, USA.
Danielle MarinoUniversity of Rochester Medical Center, Rochester, USA.
Joshua MelsonUniversity of Arizona Tucson, Tucson, USA.
Long H NguyenMassachusetts General Hospital, Boston, USA.
Kavya M ReddyCedars Sinai, Los Angeles, USA.
Kasmintan A SchraderBC Cancer and University of British Columbia, Vancouver, Canada.
Rachel Silva-SmithUniversity of Miami, Coral Gables, USA.
Aparajita SinghUniversity of California San Francisco, San Francisco, USA.
Peter P StanichThe Ohio State University, Columbus, USA.
Elena M StoffelUniversity of Michigan, Ann Arbor, USA.
Sapna SyngalDana-Farber Cancer Institute, Boston, USA.
Jennifer M WeissSchool of Medicine and Public Health, University of Wisconsin, Madison, USA.
Matthew B YurgelunDana-Farber Cancer Institute, Boston, USA.
Dana ZakalikCorewell Health William Beaumont University Hospital, Royal Oak, USA.
Samir GuptaUniversity of California San Diego, La Jolla, USA.
Ajay BansalMedical Center, University of Kansas, University of Kansas Cancer Center, Kansas City, USA.
Sonia S KupferUniversity of Chicago, Chicago, USA.
LINEAGE Consortium

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Daniel G. Stover · 1985 to 2026
$132.3M
NIH Prior Approval Process ProfessionalUL1TR002535 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2018 to 2022
$51.1M
NCATS NIH HHS UL1 TR002535NCI NIH HHS P30 CA016058
6 · The paper itself

Abstract

backgroundThe 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.

methodsLINEAGE 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.

resultsParticipating 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.

conclusionsLINEAGE 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.

Indexed as

Colorectal Neoplasms, Hereditary NonpolyposisGene-Environment InteractionGenetic Predisposition to DiseaseHumansMulticenter Studies as TopicNorth AmericaProspective StudiesResearch DesignRisk FactorsCancer geneticsColorectal cancerHereditary syndromesLynch syndrome

Identifiers

PMID42089916

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.