Shared genomic segment analysis. Mapping disease predisposition genes in extended pedigrees using SNP genotype assays.

We examine the utility of high density genotype assays for predisposition gene localization using extended pedigrees. Results for the distribution of the number and length of genomic segments shared identical by descent among relatives previously derived in the context of genomic mismatch scanning are reviewed in the context of dense single nucleotide polymorphism maps. We use long runs of loci at which cases share a common allele identically by state to localize hypothesized predisposition genes. The distribution of such runs under the hypothesis of no genetic effect is evaluated by simulation. Methods are illustrated by analysis of an extended prostate cancer pedigree previously reported to show significant linkage to chromosome 1p23. Our analysis establishes that runs of simple single locus statistics can be powerful, tractable and robust for finding DNA shared between relatives, and that extended pedigrees offer powerful designs for gene detection based on these statistics.

Genome-wide linkage analysis for aggressive prostate cancer in Utah high-risk pedigrees.

BACKGROUND: It has been proposed that studying alternative phenotypes, such as tumor aggressiveness, may be a solution for overcoming the apparent heterogeneity that has hindered the identification of prostate cancer (PC) genes. We present the results of a genome-scan for predisposition to aggressive PC using the Utah high-risk pedigree resource. METHODS: We identified 259 subjects with aggressive PC in 57 extended and nuclear families. Parametric and non-parametric multipoint linkage statistics were calculated for a genome-wide set of 401 microsatellite markers using the MCLINK software package. Stratification analyses by the number of affected subjects per pedigree (<5, >or=5) and the average age at diagnosis of affected subjects (<70 years, >or=70 years) were also performed. RESULTS: No significant results were observed at the genome-wide level, but suggestive evidence for linkage was observed on chromosomes 9q (HLOD = 2.04) and 14q (HLOD = 2.08); several pedigrees showed individual evidence for linkage at each locus (LOD > 0.58). The subset of pedigrees with earlier age at onset demonstrated nominal linkage evidence on chromosomes 3q (HLOD = 1.79), 8q (HLOD = 1.67), and 20q (HLOD=1.82). The late-onset subset showed suggestive linkage on chromosome 6p (HLOD = 2.37) and the subset of pedigrees with fewer than five affected subjects showed suggestive linkage on chromosome 10p (HLOD = 1.99). CONCLUSIONS: Linkage evidence observed on chromosomes 6p, 8q, and 20q support previously reported PC aggressiveness loci. While these results are encouraging, further research is necessary to identify the gene or genes responsible for PC aggressiveness and surmount the overarching problem of PC heterogeneity.

Identification and study of Utah pseudo-isolate populations-prospects for gene identification.

Isolate populations of varied types have proven powerful for gene identification for rare Mendelian disorders, and continue to show such promise for more complex phenotypes. Existing isolate populations are limited in the phenotypes available for study, and new population isolates are unlikely to arise. We utilize genealogical data available for the state of Utah, dating back to its European founders, to retrospectively define and examine pseudo-isolate subpopulations. These pseudo-isolate populations are defined by selection of a set of "founders" from the genealogical data, and then limitation of "immigration" by censoring of matings and offspring that do not match the isolate population design. A wide variety of pseudo isolate and other study designs are possible by varying the number and type of founders and the extent of immigration allowed. We present several different example Birth-Country pseudo-isolate populations defined within the Utah Population Database (UPDB). We utilize linked cancer phenotype data available for the Utah population to show the utility of this pseudo-isolate approach for identification of more genetically homogeneous prostate cancer pedigrees for predisposition gene identification. In conclusion, we present a unique approach to retrospective "creation" of isolate populations using existing genealogical data. We use the UPDB to exhibit the utility of this approach for the highly heterogeneous Utah population, and suggest the approach is feasible for any population for which high quality genealogy and phenotype data are available.

A simple diagnostic index for asthma.

BACKGROUND: Asthma is becoming increasingly prevalent and a number of research groups are investigating its genetic and environmental basis. OBJECTIVE: To produce a brief screening tool suitable for determining phenotype in asthma research. METHODS: The scores from eight questions on symptoms and history were obtained from 678 adults and 244 children from high asthma-incidence caucasian families. An independent physician diagnosis was also obtained with the use of a modified NHLBI-CSGA questionnaire and pulmonary function test. Stepwise logistic regression was applied to determine which of the eight questions had greatest predictive value for asthma, and the quality of the resultant models was evaluated using an independent set of 643 adults and 239 children. RESULTS: For adults, the most parsimonious model used responses from three of the eight questions. It had sensitivity and specificity of 0.94 and 0.96, respectively. For children, responses to two questions gave a model with sensitivity and specificity of 0.97. For both age groups, negative predictive values were above 0.87. Positive predictive values were 0.58 and 0.78 for adults and children respectively. The latter emphasize the need for conformation, by physician, of "affected" calls made by this initial screen. CONCLUSION: The brief questionnaires described are potentially useful in a research setting, as a preliminary screening mechanism of low cost. Their use will reduce the numbers of subjects that must undergo detailed phenotyping.

A candidate prostate cancer susceptibility gene at chromosome 17p.

It is difficult to identify genes that predispose to prostate cancer due to late age at diagnosis, presence of phenocopies within high-risk pedigrees and genetic complexity. A genome-wide scan of large, high-risk pedigrees from Utah has provided evidence for linkage to a locus on chromosome 17p. We carried out positional cloning and mutation screening within the refined interval, identifying a gene, ELAC2, harboring mutations (including a frameshift and a nonconservative missense change) that segregate with prostate cancer in two pedigrees. In addition, two common missense variants in the gene are associated with the occurrence of prostate cancer. ELAC2 is a member of an uncharacterized gene family predicted to encode a metal-dependent hydrolase domain that is conserved among eukaryotes, archaebacteria and eubacteria. The gene product bears amino acid sequence similarity to two better understood protein families, namely the PSO2 (SNM1) DNA interstrand crosslink repair proteins and the 73-kD subunit of mRNA 3' end cleavage and polyadenylation specificity factor (CPSF73).

Correcting for multiple analyses in genomewide linkage studies.

The dissection of complex traits frequently calls for multiple analyses to be performed, including the use of both multiple phenotypes and genetic models. These multiple phenotypes and models are often not independent, and hence the necessary correction for the multiple testing is not straightforward. In this paper we offer a new approach to address the problem of how to correct for non-independent multiple analyses in genomewide linkage studies. We describe one method of how to determine the number of 'effectively independent' tests performed in a linkage study using simple linear regression techniques. Further we describe how to use such information to establish genomewide significance thresholds for infinitely dense genomewide maps.

A new nonparametric linkage statistic for mapping both qualitative and quantitative trait loci.

We describe an alternative nonparametric linkage (NPL) statistic to that of Kruglyak et al. [Am. J. Hum. Genet. 58:1347-63, 1996] that can be used with qualitative phenotypes, and is easily extended for use with quantitative phenotypes. We analyzed the Genetic Analysis Workshop 12 simulated isolated population data, replicate 1, using two phenotypes; affected status (AFF) a dichotomous phenotype and quantitative trait Q5, which was chosen since it was the most strongly associated with AFF. One false positive significant NPL score was observed for the AFF phenotype. For Q5 a single region on chromosome 1 reached genome-wide significance. The peak of this signal was for marker D01G137 at 135.1 cM with a quantitative trait locus (QTL)-NPL score of 4.19. The nearest marker to the true location of the major gene (MG5 at 137.1 cM) was D01G139 at position 135.8 cM, where the QTL-NPL score was still high at 4.08.

A robust multipoint linkage statistic (tlod) for mapping complex trait loci.

Classical parametric two-point linkage analysis is a powerful analysis tool, however there are clear disadvantages too, including the sensitivity to allele frequency mis-specification. Conversely, multipoint linkage analysis is not sensitive to allele frequency mis-specification, but it is sensitive to genetic model mis-specification. Göring and Terwilliger [Am J Hum Genet 66:1095-106, 2000] proposed a new robust multipoint statistic that increased the robustness of multipoint analyses. In this paper we have referred to this new statistic as the tlod. We applied this new statistic to the Genetic Analysis Workshop (GAW) 12 data using affected status (AFF) as the phenotype of interest. The heterogeneity tlod and two-point hlod scores correlated highly across the genome (p < 0.0001), as expected, but the het-tlod had a lower number false positives. In addition, the tlod analysis handled missing data better, as would be expected for a multipoint method. When one-third of the genotype data was removed (dead people) the tlod analysis was less affected than the two-point analysis. When tlod scores were compared with multipoint lod scores in true gene locations, the robustness of the tlod to model mis-specification was clearly evident. When the "best" replicate from the general population was analyzed, a borderline genome-wide significant two-point hlod result (3.6) was found 4 cM from MG6 and MG7 on chromosome 6. The heterogeneity tlod score was lower than the two-point hlod score (1.8), but greater than the heterogeneity multipoint lod score (0.4). However, when replicate 1 of the isolated population was analyzed none of the true gene locations were identified with either statistic.

Allelic association in large pedigrees.

We subjected the first replication of the simulated isolated population data set to a novel analysis for association between marker alleles and either disease phenotypes or quantitative variable. The analysis depends on being able to reliably reconstruct all haplotypes in the pedigree. This was achieved using the MCLINK blocked Gibbs sampling program. We observed a highly significant association between the variable Q5 and marker D01G138, and suggestive associations between the disease trait and markers D03G056 and D07G004.

Impact of correlated factors on bone density in individuals with a family history of osteoporosis.

Previous studies have suggested that 14-47% of the variation in bone mineral density (BMD) can be predicted using clinical risk factors. The aim of our study was to determine, for the first time, the importance of these factors in individuals with evidence of a genetic predisposition to the disease. The subjects studied were 147 female and 86 male Caucasians, all with a family history of osteoporosis. Linear regression was used to determine whether age, height, weight, and years of reduced estrogen exposure were significant predictors of BMD. Males and females were examined separately, and BMD was measured at the hip and spine. The results show that these risk factors, known to be at work in the general population, are equally important in those with a family history of osteoporosis. It is clear, therefore, that they must be taken into account, and corrected for in genetic studies of the disease.

Prostate cancer susceptibility locus HPC1 in Utah high-risk pedigrees.

A prostate cancer susceptibility locus ( HPC1 ) at 1q24-25 has been identified. Subsequent analysis showed that the majority of the evidence for localization was provided by families with relatively young (<65 years) average age at diagnosis. We examined evidence for linkage to this region in a set of 41 extended multi-case prostate cancer pedigrees containing 440 prostate cancer cases. Genotyping of five short tandem repeat markers in the region was performed on DNA from 1724 individuals, including 284 prostate cancer cases. In comparison with the families reported in the initial localization, the Utah pedigrees are generally much larger (average of 10.7 versus 5.1 cases) and have an older average age at diagnosis (69 versus 65 years). Two- and three-point linkage analyses were conducted using a previously reported model and provided replication for HPC1 (two-point: LOD = 1.73, P = 0.005 at D1S196; three-point: LOD = 2.06, P = 0.002 for the interval D1S196-D1S416 ). The youngest quartile (by median age at diagnosis) yielded a maximum LOD of 2.82, P = 0. 0003 (at D1S215-D1S222 ), compared with a maximum LOD of 0.73, P = 0. 07 for the oldest quartile pedigrees at the same locus. Further analysis with an age-dependent model, specifying higher sporadic rates for older cases, suggests that the linkage evidence may be lower than expected given the power of the resource due to a high sporadic rate in the large Utah pedigrees.

Novel popout with nonsense strings: effects of predictability of string length and spatial location.

Recent studies have shown that when one of four expected words is replaced by a single unexpected word, the unexpected word may capture attention. In three experiments, we explored the generality of this effect. In each experiment, observers viewed arrays composed of four computer-generated "nonsense" strings. Accuracy of string localization was assessed after each array. Some strings, called familiar, appeared in many arrays, whereas others, called novel, appeared in only one. In each experiment, novel strings in arrays composed of one novel and three familiar strings were localized more accurately than were novel strings in arrays composed entirely of novel strings, and familiar strings in these arrays were localized less accurately than were familiar strings in arrays composed entirely of familiar strings. These two effects, termed novel popout and familiar sink-in, respectively, were observed even when novel and familiar strings were rendered less discriminable by holding their lengths constant (Experiment 2) and when familiar strings always appeared in the same spatial locations (Experiment 3). The data suggest that novel objects can capture attention even when the objects lack any clear linguistic referent, when they are superficially similar to the familiar objects that surround them, and when the spatial locations of familiar objects are completely predictable.

Can standard measures identify subclinical markers of autism?

This study compared the executive function and theory-of-mind abilities of siblings of autistic individuals to those of siblings of learning-disabled controls. Three different analyses of the dependent measures provided convergent support for a potential subclinical marker in the executive function domain. No group differences in theory-of-mind abilities were found. However, power analyses revealed that the measures employed in this study, which are typically used with autistic individuals, were not sufficiently sensitive to detect any group differences that might exist in "unaffected" family members. Suggestions for future research are provided, including the need to develop more sensitive tasks that produce larger effects and measure more elementary cognitive operations.