Analysis of lung cancer risk model (PLCO and LLP) performance in a community-based lung cancer screening programme.

Introduction: Low-dose CT (LDCT) screening of high-risk smokers reduces lung cancer (LC) specific mortality. Determining screening eligibility using individualised risk may improve screening effectiveness and reduce harm. Here, we compare the performance of two risk prediction models (PLCO and Liverpool Lung Project model (LLP)) and National Lung Screening Trial (NLST) eligibility criteria in a community-based screening programme.

Second round results from the Manchester 'Lung Health Check' community-based targeted lung cancer screening pilot.

We report results from the second annual screening round (T1) of Manchester's 'Lung Health Check' pilot of community-based lung cancer screening in deprived areas (undertaken June to August 2017). Screening adherence was 90% (n=1194/1323): 92% of CT scans were classified negative, 6% indeterminate and 2.5% positive; there were no interval cancers.

Implementing lung cancer screening: baseline results from a community-based 'Lung Health Check' pilot in deprived areas of Manchester.

We report baseline results of a community-based, targeted, low-dose CT (LDCT) lung cancer screening pilot in deprived areas of Manchester. Ever smokers, aged 55-74 years, were invited to 'lung health checks' (LHCs) next to local shopping centres, with immediate access to LDCT for those at high risk (6-year risk ≥1.51%, PLCO calculator).

Whole-genome linkage analysis of rheumatoid arthritis susceptibility loci in 252 affected sibling pairs in the United Kingdom.

Objective: To undertake a systematic whole-genome screen to identify regions exhibiting genetic linkage to rheumatoid arthritis (RA).

Methods: Two hundred fifty-two RA-affected sibling pairs from 182 UK families were genotyped using 365 highly informative microsatellite markers. Microsatellite genotyping was performed using fluorescent polymerase chain reaction primers and semiautomated DNA sequencing technology.

The single-nucleotide polymorphism lottery: how useful are a few common SNPs in identifying disease-associated alleles?

It has been proposed that using association analysis of single nucleotide polymorphism (SNP) markers in candidate genes may be more successful in identifying disease susceptibility genes for complex diseases. Finding all the SNPs within a candidate gene and genotyping a large case-control cohort is a resource-intensive process. As linkage disequilibrium extends across small regions of the genome, the expectation is that a few common anonymous SNPs will be sufficient to detect functional disease-associated alleles.

High resolution linkage and association mapping identifies a novel rheumatoid arthritis susceptibility locus homologous to one linked to two rat models of inflammatory arthritis.

Rheumatoid arthritis (RA) is an oligogenic autoimmune disease but, to date, linkage and association to major histocompatibility complex (MHC) has been the only consistent finding in genetic studies. However, MHC is estimated to contribute only 30-40% of the total genetic component to disease susceptibility. Studies in animal models of inflammatory arthritis have identified a number of putative vulnerability loci but the homologous regions in the human genome have not previously been investigated as candidate RA susceptibility loci.

Linkage and association analysis of candidate genes in rheumatoid arthritis.

Objectives: To test for linkage and association to rheumatoid arthritis (RA) in multiplex families for polymorphic markers in candidate gene loci. Loci including the cytokine cluster on 5q31.1 and IL10, both previously investigated in RA, were included along with several other genes including ICAM-1, cMYC, the cytokine cluster on 17q11.

Linkage of rheumatoid arthritis to insulin-dependent diabetes mellitus loci: evidence supporting a hypothesis for the existence of common autoimmune susceptibility loci.

Objective: To seek potential autoimmune disease susceptibility loci by testing for linkage and linkage disequilibrium between insulin-dependent diabetes mellitus (IDDM) susceptibility loci and rheumatoid arthritis (RA).

Methods: Five IDDM susceptibility loci map to 2 chromosomal regions, chromosome 2q31-34 (IDDM7, 12, and 13) and chromosome 6q25-27 (IDDM5 and 8). Microsatellite markers within these regions were genotyped in 255 RA families, by fluorescence-based genotyping technology.

A single nucleotide polymorphism in exon 1 of cytotoxic T-lymphocyte-associated-4 (CTLA-4) is not associated with rheumatoid arthritis.

Background: Rheumatoid arthritis (RA) is an oligogenic disease for which only one susceptibility locus has been identified to date. Genes involved in T-cell regulation are potential candidates. Association to cytotoxic T-lymphocyte-associated-4 (CTLA-4) protein, a negative regulator of T-cell activation, has previously been described in a subset of German RA patients carrying the HLA DRB1*0401 subtype.

A semiquantitative whole genome screen analysis of alcohol dependence.

Two whole genome screens were applied to sibling pairs from the Collaborative Study on the Genetics of Alcoholism (COGA) family data to compare a semiquantitative method with a standard qualitative approach. The semiquantitative method used a score derived from 11 symptoms, and the qualitative approach used the COGA criteria for alcohol dependence. There was no concordance in the regions identified by the two models.

Linkage of a marker in intron D of the estrogen synthase locus to rheumatoid arthritis.

Objective: To test for the presence of linkage of the estrogen synthase (CYP19) locus to rheumatoid arthritis (RA) in affected sibling pair (ASP) families.

Methods: Two data sets of RA ASPs (225 ASPs and 107 ASPs) were genotyped for a polymorphic tetranucleotide marker at the CYP19 locus using fluorescence-based semiautomated genotyping technology. Evidence of linkage was assessed by estimating allele sharing (identical by descent) in affected sibling pairs.

Linkage of cytokine genes to rheumatoid arthritis. Evidence of genetic heterogeneity.

Objective: To investigate linkage of candidate disease susceptibility genes to rheumatoid arthritis (RA) in affected sibling pair families stratified for specific clinical features.

Method: Two hundred RA affected sibling pair families were genotyped for informative microsatellite markers mapping within or less than 3cM from: INF alpha, INF gamma, INF beta, IL1 alpha, IL1 beta, IL1R, IL2, IL6, IL5R, IL8R, BCL2, CD40L, NOS3, NRAMP, alpha 1 anti-trypsin, and alpha 1 anti-chymotrypsin, using fluorescence based automated technology. Linkage was examined by defining allele sharing sibling pairs.

Investigation of candidate disease susceptibility genes in rheumatoid arthritis: principles and strategies.

It has been estimated that a number of non-HLA susceptibility loci exist in rheumatoid arthritis (RA), each making relatively small contributions (lambda s < 2). Previous approaches for whole genome screening are unlikely to be sufficiently sensitive to detect such loci. As the pathology of RA already indicates several molecules that may be of potential importance in disease susceptibility, we propose an alternative approach, targeting candidate genes directly.