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Background: Observational cohort studies have been little used in linkage analyses due to their general lack of large, disease-specific pedigrees. Nevertheless, the longitudinal nature of such studies makes them potentially valuable for assessing the linkage between genotypes and temporal trends in phenotypes. The repeated phenotype measures in cohort studies (i.e., across time), however, can have extensive missing information. Existing methods for handling missing data in observational studies may decrease efficiency, introduce biases, and give spurious results. The impact of such methods when undertaking linkage analysis of cohort studies is unclear. Therefore, we compare here six methods of imputing missing repeated phenotypes on results from genome-wide linkage analyses of four quantitative traits from the Framingham Heart Study cohort., Results: We found that simply deleting observations with missing values gave many more nominally statistically significant linkages than the other five approaches. Among the latter, those with similar underlying methodology (i.e., imputation- versus model-based) gave the most consistent results, although some discrepancies remained., Conclusion: Different methods for addressing missing values in linkage analyses of cohort studies can give substantially diverse results, and must be carefully considered to protect against biases and spurious findings.

Background: Substantial evidence suggests that genetic factors play an important role in both the risk of prostate cancer and its biologic aggressiveness. Here we investigate prostate cancer susceptibility and aggressiveness with genome-wide linkage analyses of affected brothers., Methods: We first undertook a new genome-wide linkage study of 259 brothers with prostate cancer. Our analyses tested whether the proportion of marker alleles shared by brothers was correlated with disease status or Gleason score. To further clarify 11 linkage regions observed here or previously, we genotyped and analyzed an additional 101 finely spaced markers in the 259 men, and in 594 previously studied brothers, allowing for a pooled genome-wide analysis of 853 affected brothers., Results: In the new study, we detected linkage to prostate cancer on chromosome 16q23 (P = 0.009), replicating previous results, and to chromosome 11q24 (P = 0.001). In the pooled analysis, the 16q23 linkage was strengthened (P = 0.0005), as was our previous linkage to chromosome 16p (P = 0.0001), and we detected linkage to chromosome 2q32 (P = 0.009). When evaluating Gleason score, our new study detected linkage to chromosome 7q32 (P = 0.0009), again replicating previous results, and to chromosomes 5p15 (P = 0.003), 9q34 (P = 0.009), 10q26 (P = 0.03), and 18p11 (P = 0.02). In the pooled analysis of Gleason score, we observed stronger linkage to chromosome 7q32 (P = 0.0002), but slightly weaker linkage to chromosomes 5q33 (P = 0.005) and 19q13 (P = 0.009) than previously reported. In addition, the new linkages to chromosomes 10q26 and 18p11 were strengthened (P = 0.0002 and P = 0.002, respectively)., Conclusions: Our results provide compelling evidence for loci harboring prostate cancer susceptibility and tumor aggressiveness genes, especially on chromosomes 16q23 and 7q32., (Copyright 2003 Wiley-Liss, Inc.)

Whole-genome scan studies recently identified a locus on chromosome segments 19q12-q13.11 linked to prostate tumor aggressiveness by use of the Gleason score as a quantitative trait. We have now completed finer-scale linkage mapping across this region that confirmed and narrowed the candidate region to 2 cM, with a peak between markers D19S875 and D19S433. We also performed allelic imbalance (AI) studies across this region in primary prostate tumors from 52 patients unselected for family history or disease status. A high level of AI was observed, with the highest rates at markers D19S875 (56%) and D19S433 (60%). Furthermore, these two markers defined a smallest common region of AI of 0.8 Mb, with 15 (29%) prostate tumors displaying interstitial AI involving one or both markers. In addition, we noted a positive association between AI at marker D19S875 and extension of tumor beyond the margin (P = 0.02) as well as a higher Gleason score (P = 0.06). These data provide strong evidence that we have mapped a prostate tumor aggressiveness locus to chromosome segments 19q12-q13.11 that may play a role in both familial and non-familial forms of prostate cancer., (Copyright 2003 Wiley-Liss, Inc.)

The biologic aggressiveness of prostate tumors is an important indicator of prognosis. Chromosome 7q32-q33 was recently reported to show linkage to more aggressive prostate cancer, based on Gleason score, in a large sibling pair study. We report confirmation and narrowing of the linked region using finer-scale genotyping. We also report a high frequency of allelic imbalance (AI) defined within this locus in a series of 48 primary prostate tumors from men unselected for family history or disease status. The highest frequency of AI was observed with adjacent markers D7S2531 (52%) and D7S1804 (36%). These two markers delineated a common region of AI, with 24 tumors exhibiting interstitial AI involving one or both markers. The 1.1-Mb candidate region contains relatively few transcripts. Additionally, we observed positive associations between interstitial AI at D7S1804 and early age at diagnosis (P=.03) as well as a high combined Gleason score and tumor stage (P=.06). Interstitial AI at D7S2531 was associated with a positive family history of prostate cancer (P=.05). These data imply that we have localized a prostate cancer tumor aggressiveness loci to chromosome 7q32-q33 that is involved in familial and nonfamilial forms of prostate cancer.

Background: Since the publication of the first genome screen for prostate cancer (CaP) 5 years ago, over a dozen linkage studies have appeared. Most attention has been directed to chromosome 1, where two separate regions have been identified as harboring a prostate cancer susceptibility locus: HPC1 in the 1q24-25 interval and PCaP in the 1q42.2-43 interval. Linkage analysis of chromosome 16 has also provided evidence of harboring two loci predisposing to CaP., Methods: We report on a replication linkage study of chromosomes 1 and 16 in 45 new and 4 expanded multiplex CaP families. Multipoint Z-scores were obtained for 30 highly polymorphic short-sequence tandem repeat markers spanning chromosome 1, and 22 markers spanning chromosome 16., Results: The replication sample gave no evidence for a CaP susceptibility locus in the 1q24-25 interval and equivocal evidence for such a locus at 1q42.2-43. With respect to chromosome 16, positive Z-scores were obtained over a contiguous interval covering the entire p arm and the proximal half of the q arm., Conclusions: The linkage analysis of our replication sample does not support the existence of HPC1, and the evidence for the existence of PCaP remains equivocal. Evidence of a susceptibility locus on 16p remains strong, but the evidence for a susceptibility locus on 16q is weakened., (Copyright 2000 Wiley-Liss, Inc.)

The aggressiveness of prostate cancer (PCa) varies widely: some tumors progress to invasive, potentially life-threatening disease, whereas others stay latent for the remainder of an individual's lifetime. The mechanisms resulting in this variability are not yet understood, but they are likely to involve both genetic and environmental influences. To investigate genetic factors, we conducted a genomewide linkage analysis of 513 brothers with PCa, using the Gleason score, which reflects tumor histology, as a quantitative measure of PCa aggressiveness. To our knowledge, this is the first time that a measure of PCa aggressiveness has been directly investigated as a quantitative trait in a genomewide scan. We employed a generalized multipoint Haseman-Elston linkage-analysis approach that regresses the mean-corrected cross product between the brothers' Gleason scores on the estimated proportion of alleles shared by brothers identical by descent at each marker location. Our results suggest that candidate regions on chromosomes 5q, 7q, and 19q give evidence for linkage to PCa-aggressiveness genes. In particular, the strongest signals detected in these regions were at the following markers (with corresponding P values): for chromosome 5q31-33, between markers D5S1480 and D5S820 (P=.0002); for chromosome 7q32, between markers D7S3061 and D7S1804 (P=.0007); and, for chromosome 19q12, at D19S433 (P=.0004). This indicates that one or more of these candidate regions may contain genes that influence the progression of PCa from latent to invasive disease. Identification of such genes would be extremely valuable for elucidation of the mechanism underlying PCa progression and for determination of treatment in men in whom this disease has been diagnosed.

Analysis of a genome screen of 504 brothers with prostate cancer (CaP) who were from 230 multiplex sibships identified five regions with nominally positive linkage signals, on chromosomes 2q, 12p, 15q, 16p, and 16q. The strongest signal in these data is found on chromosome 16q, between markers D16S515 and D16S3040, a region suspected to contain a tumor-suppressor gene. On the basis of findings from previous genome screens of families with CaP, three preplanned subanalyses were carried out, in the hope of increasing the subgroup homogeneity. Subgroups were formed by dividing the sibships into a group with a positive family history (FH+) that met criteria for "hereditary" CaP (n=111) versus those which did not meet the criteria (n=119) and by dividing the families into those with a mean onset age below the median (n=115) versus those with a mean onset age above the median (n=115). A separate subanalysis was carried out for families with a history of breast cancer (CaB+ [n=53]). Analyses of these subgroups revealed a number of potentially important differences in regions that were nonsignificant when all the families were analyzed together. In particular, the subgroup without a positive family history (FH-) had a signal in a region that is proximal to the putative site of the HPC1 locus on chromosome 1, whereas the late-age-at-onset group had a signal on 4q. The CaB+ subgroup revealed a strong linkage signal at 1p35.1.

We analyzed a subset of the Collaborative Study on the Genetics of Alcoholism (COGA) data set as provided by the 11th Genetic Analysis Workshop (GAW11). Linkage analyses were performed using each of the diagnostic criteria for alcoholism included in the data: the COGA criteria (DSM-III-R plus the Feighner criteria) and the narrower World Health Organization diagnosis ICD-10 criteria. Formal segregation analysis using these data was not attempted because only a subset of all the originally ascertained families was made available. Nevertheless, an attempt was made to estimate the best one-locus two-allele genetic model for these data. Model-based multipoint linkage analysis was performed using the results of our trait model fitting, and model-free multipoint linkage analysis was performed with an improved version of the Haseman and Elston linkage method for sib pairs.

We applied regressive modeling to the data described by Stine et al. [1995] and further explored the possible linkage of bipolar disorder to marker D18S41 on chromosome 18. We performed analyses to determine age-dependent penetrance functions that best fit the data and that allow for residual familial correlations. Specifically, we introduce here a simple method to allow for a sibling correlations. that is not due to segregation at the linked locus, and then extend the results of Stine et al. [1995] by using the best fitting "regressive" model of this kind as input into a lod score linkage analysis. Although a formal segregation analysis was not attempted, a surprising finding was that, except for doubtful linkage to D18S41, there is little evidence for genetic transmission of bipolar disorder in these families.