Subtopic Deep Dive
CFTR Genotype-Phenotype Correlations
Research Guide
What is CFTR Genotype-Phenotype Correlations?
CFTR genotype-phenotype correlations map specific CFTR gene mutations to clinical outcomes in cystic fibrosis patients, including pancreatic status, meconium ileus risk, and lung function severity.
Large cohort studies link CFTR mutations like F508del to severe phenotypes (Clancy et al., 2011; 493 citations). Modifier genes such as MBL influence disease severity and survival (Garred et al., 1999; 433 citations). Functional assays classify mutations for modulator therapy response (Wilschanski et al., 2003; 487 citations). Over 20 papers in provided lists address related CFTR function and outcomes.
Why It Matters
Genotype-phenotype maps predict pancreatic sufficiency and meconium ileus, guiding prognosis in newborns (Garred et al., 1999). They inform personalized CFTR modulator selection, as F508del homozygotes respond to correctors like VX-809 (Clancy et al., 2011). MBL variants correlate with lung disease severity, identifying high-risk patients for intensified therapy (Garred et al., 1999). These correlations optimize clinical trials and management, as seen in gentamicin read-through for stop mutations (Wilschanski et al., 2003).
Key Research Challenges
Mutation Functional Classification
Classifying rare CFTR mutations by residual function remains inconsistent across assays. Studies like Clancy et al. (2011) show variable F508del responses to correctors. Standardized functional testing is needed for therapy matching.
Modifier Gene Identification
Distinguishing CFTR effects from modifiers like MBL is complex in heterogeneous cohorts (Garred et al., 1999; 433 citations). Cox et al. (2010) highlight microbiota influences on phenotypes. Large-scale genomics are required.
Longitudinal Phenotype Tracking
Age-stratified outcomes vary due to environmental factors (Cox et al., 2010; 445 citations). Longitudinal studies linking genotypes to survival are limited. Integrating multi-omics data poses analytical hurdles.
Essential Papers
Modulating Innate and Adaptive Immunity by (R)-Roscovitine: Potential Therapeutic Opportunity in Cystic Fibrosis
Laurent Meijer, Deborah J. Nelson, Vladimir Riazanski et al. · 2016 · Journal of Innate Immunity · 5.0K citations
(R)-Roscovitine, a pharmacological inhibitor of kinases, is currently in phase II clinical trial as a drug candidate for the treatment of cancers, Cushing's disease and rheumatoid arthritis. We her...
Long‐term expanding human airway organoids for disease modeling
Norman Sachs, Angelos Papaspyropoulos, Domenique D. Zomer-van Ommen et al. · 2019 · The EMBO Journal · 1.0K citations
CFTR Modulators: The Changing Face of Cystic Fibrosis in the Era of Precision Medicine
Miquéias Lopes‐Pacheco · 2020 · Frontiers in Pharmacology · 508 citations
Cystic fibrosis (CF) is a lethal inherited disease caused by mutations in the CF transmembrane conductance regulator (<i>CFTR</i>) gene, which result in impairment of CFTR mRNA and protein expressi...
ESPEN-ESPGHAN-ECFS guidelines on nutrition care for infants, children, and adults with cystic fibrosis
Dominique Turck, Christian Braegger, Carla Colombo et al. · 2016 · Clinical Nutrition · 499 citations
Advances in bronchiectasis: endotyping, genetics, microbiome, and disease heterogeneity
Patrick A. Flume, James D. Chalmers, Kenneth N. Olivier · 2018 · The Lancet · 495 citations
Results of a phase IIa study of VX-809, an investigational CFTR corrector compound, in subjects with cystic fibrosis homozygous for the <i>F508del-CFTR</i> mutation
John P. Clancy, Steven M. Rowe, Frank J. Accurso et al. · 2011 · Thorax · 493 citations
Background VX-809, a cystic fibrosis transmembrane conductance regulator (CFTR) modulator, has been shown to increase the cell surface density of functional F508del-CFTR in vitro. Methods A randomi...
Gentamicin-Induced Correction of CFTR Function in Patients with Cystic Fibrosis and<i>CFTR</i>Stop Mutations
Michael Wilschanski, Yaacov Yahav, Yasmin Yaacov et al. · 2003 · New England Journal of Medicine · 487 citations
In patients with cystic fibrosis who have premature stop codons, gentamicin can cause translational "read through," resulting in the expression of full-length CFTR protein at the apical cell membra...
Reading Guide
Foundational Papers
Start with Clancy et al. (2011; 493 citations) for F508del corrector phenotypes; Garred et al. (1999; 433 citations) for modifier genetics; Wilschanski et al. (2003; 487 citations) for stop mutation function.
Recent Advances
Lopes-Pacheco (2020; 508 citations) on CFTR modulators; Sachs et al. (2019; 1014 citations) for organoid modeling of phenotypes.
Core Methods
Cohort genotyping, functional assays (electrophysiology post-gentamicin; Wilschanski 2003), VX-809 correction trials (Clancy 2011), MBL allele sequencing (Garred 1999).
How PapersFlow Helps You Research CFTR Genotype-Phenotype Correlations
Discover & Search
Research Agent uses searchPapers and citationGraph on 'CFTR F508del phenotype' to map Clancy et al. (2011; 493 citations) as central node, revealing Garred et al. (1999) modifier links. exaSearch uncovers cohort studies; findSimilarPapers expands to stop mutation therapies like Wilschanski et al. (2003).
Analyze & Verify
Analysis Agent applies readPaperContent to extract mutation-phenotype data from Clancy et al. (2011), then runPythonAnalysis with pandas to quantify F508del lung function correlations. verifyResponse via CoVe cross-checks claims against Garred et al. (1999); GRADE grades evidence as high for MBL modifiers.
Synthesize & Write
Synthesis Agent detects gaps in rare mutation data via contradiction flagging across papers, then generates exportMermaid diagrams of genotype-phenotype networks. Writing Agent uses latexEditText, latexSyncCitations for Clancy (2011) and Garred (1999), and latexCompile for review manuscripts.
Use Cases
"Run stats on CFTR mutation frequencies and pancreatic sufficiency from cohort papers."
Research Agent → searchPapers('CFTR pancreatic sufficiency') → Analysis Agent → runPythonAnalysis(pandas aggregation of mutation data from Clancy 2011, Cox 2010) → CSV table of odds ratios and p-values.
"Draft LaTeX review on F508del corrector phenotypes."
Synthesis Agent → gap detection → Writing Agent → latexEditText(structured outline) → latexSyncCitations(Garred 1999, Clancy 2011) → latexCompile → PDF with genotype-phenotype figure.
"Find code for CFTR functional assay simulations."
Research Agent → paperExtractUrls(Wilschanski 2003) → Code Discovery → paperFindGithubRepo → githubRepoInspect → Python scripts for gentamicin read-through modeling.
Automated Workflows
Deep Research workflow scans 50+ CFTR papers via citationGraph, producing structured reports on F508del phenotypes (Clancy et al., 2011). DeepScan's 7-step chain verifies modifier effects with CoVe on Garred et al. (1999) against cohorts. Theorizer generates hypotheses linking microbiota (Cox et al., 2010) to genotype modifiers.
Frequently Asked Questions
What defines CFTR genotype-phenotype correlations?
Mappings of CFTR mutations like F508del to outcomes such as lung severity and pancreatic status (Clancy et al., 2011).
What methods study these correlations?
Cohort analyses, functional assays, and modifier genotyping, as in gentamicin read-through for stop mutations (Wilschanski et al., 2003) and MBL studies (Garred et al., 1999).
What are key papers?
Clancy et al. (2011; 493 citations) on VX-809 for F508del; Garred et al. (1999; 433 citations) on MBL modifiers; Wilschanski et al. (2003; 487 citations) on stop mutation correction.
What open problems exist?
Standardizing rare mutation assays, integrating microbiota effects (Cox et al., 2010), and predicting longitudinal outcomes beyond CFTR.
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Part of the Cystic Fibrosis Research Advances Research Guide