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Daniel E Weeks

Publications and source records attributed to Daniel E Weeks.

33 records · Page 2Linked to original sources
PubMed2005

Mega2: data-handling for facilitating genetic linkage and association analyses.

UNLABELLED: Mega2, the manipulation environment for genetic analysis, transparently allows users to process genetic data for family-based or case/control studies accurately and efficiently. In addition to data validation checks, Mega2 provides analysis setup capabilities for a broad choice of commonly used genetic analysis programs, including SimWalk2, ASPEX, GeneHunter, SLINK, SIMULATE, S.A.G.E., SOLAR, Vitesse, Allegro, PREST, PAP, Loki, Merlin and MENDEL. AVAILABILITY: http://watson.hgen.pitt.edu/register/

Chromosome Mapping↗
PubMed2004

Ordered subset linkage analysis supports a susceptibility locus for age-related macular degeneration on chromosome 16p12.

BACKGROUND: Age-related macular degeneration (AMD) is a complex disorder that is responsible for the majority of central vision loss in older adults living in developed countries. Phenotypic and genetic heterogeneity complicate the analysis of genome-wide scans for AMD susceptibility loci. The ordered subset analysis (OSA) method is an approach for reducing heterogeneity, increasing statistical power for detecting linkage, and helping to define the most informative data set for follow-up analysis. OSA assesses the linkage evidence in subsets of potentially more homogeneous families by rank-ordering family-specific lod scores with respect to trait-associated covariates or phenotypic features. Here, we present results of incorporating five continuous covariates into our genome-wide linkage analysis of 389 microsatellite markers in 62 multiplex families: Body mass index (BMI), systolic (SBP) and diastolic (DBP) blood pressure, intraocular pressure (IOP), and pack-years of cigarette smoking. Chromosome-wide significance of increases in nonparametric multipoint lod scores in covariate-defined subsets relative to the overall sample was assessed by permutation. RESULTS: Using a correction for testing multiple covariates, statistically significant lod score increases were observed for two chromosomal regions: 14q13 with a lod score of 3.2 in 28 families with average IOP </= 15.5 (p = 0.002), and 6q14 with a lod score of 1.6 in eight families with average BMI >/= 30.1 (p = 0.0004). On chromosome 16p12, nominally significant lod score increases (p </= 0.05), up to a lod score of 2.9 in 32 families, were observed with several covariate orderings. While less significant, this was the only region where linkage evidence was associated with multiple clinically meaningful covariates and the only nominally significant finding when analysis was restricted to advanced forms of AMD. Families with linkage to 16p12 had higher averages of SBP, IOP and BMI and were primarily affected with neovascular AMD. For all three regions, linkage signals at or very near the peak marker have previously been reported. CONCLUSION: Our results suggest that a susceptibility gene on chromosome 16p12 may predispose to AMD, particularly to the neovascular form, and that further research into the previously suggested association of neovascular AMD and systemic hypertension is warranted.

Aged↗
PubMed2004

Age-related maculopathy: a genomewide scan with continued evidence of susceptibility loci within the 1q31, 10q26, and 17q25 regions.

Age-related maculopathy (ARM), or age-related macular degeneration, is one of the most common causes of visual impairment in the elderly population of developed nations. In a combined analysis of two previous genomewide scans that included 391 families, containing up to 452 affected sib pairs, we found linkage evidence in four regions: 1q31, 9p13, 10q26, and 17q25. We now have added a third set of families and have performed an integrated analysis incorporating 530 families and up to 736 affected sib pairs. Under three diagnostic models, we have conducted linkage analyses using parametric (heterogeneity LOD [HLOD] scores under an autosomal dominant model) and nonparametric (Sall statistic) methods. There is ongoing evidence of susceptibility loci within the 1q31, 10q26, and 17q25 regions. If we treat the third set of families as a replication set, then two regions (10q26 and 17q25) are replicated, with LOD scores >1.0. If we pool all our data together, then four regions (1q31, 2q14.3, 10q26, and 17q25) show HLOD or Sall scores > or =2.0. Within the 1q31 region, we observed an HLOD of 2.72 (genomewide P=.061) under our least stringent diagnostic model, whereas the 17q25 region contained a maximal HLOD of 3.53 (genomewide P=.007) under our intermediate diagnostic model. We have evaluated our results with respect to the findings from several new independent genomewide linkage studies and also have completed ordered subset analyses (OSAs) with apolipoprotein E alleles, smoking history, and age at onset as stratifying covariates. The OSAs generate the interesting hypothesis that the effect of smoking on the risk of ARM is accentuated by a gene in the 10q26 region--a region implicated by four other studies.

Chromosomes, Human, Pair 1↗
PubMed2004

Efficient simulation of P values for linkage analysis.

In many genetic linkage analyses, the P value is obtained through simulation since the underlying distribution of the test statistic is complex and unknown. However, this can be very computationally intensive. A "bootstrap/replicate pool" approach has been suggested that generates P values more efficiently in terms of computation by resampling sums from a small set of simulated replicates for each pedigree. The replicate pool idea has been successfully applied, but, to our knowledge, has never been theoretically studied. An entirely different method for increasing the computational efficiency of P value simulation is Besag and Clifford's sequential sampling method. We propose an algorithm which combines Besag and Clifford's method with the replicate pool method to efficiently estimate P values for linkage studies. We derive variance expressions for the P value estimates from the replicate pool method and from our proposed hybrid method, and use these to show that the hybrid estimator has a substantial advantage over the other methods in most situations.

Algorithms↗
PubMed2004

Familial aggregation of endometriosis in a large pedigree of rhesus macaques.

BACKGROUND: Endometriosis occurs in several non-human primate species that have menstrual cycles. This study investigated the prevalence and familial aggregation of endometriosis in one of those species, the rhesus macaque. METHODS: Between 1978 and 2001, 142 animals with endometriosis were identified from necropsy and surgical records and through the use of magnetic resonance imaging (MRI) at the Wisconsin National Primate Research Center, Madison, USA. All cases were used to build one large multigenerational pedigree and nine nuclear families comprising 1602 females in total. By 2002, the pedigrees contained 124 cases diagnosed at necropsy; 17 at surgery and three at MRI. Female animals that had died aged > or = 10 years without endometriosis, had both ovaries until at least 1 year prior to death, and had a full necropsy, were considered unaffected. RESULTS: The prevalence of endometriosis among necropsied animals aged > or = 10 years in the colony was 31.4% [95% confidence interval (CI) 26.9-35.9%]; prevalence increased with rising age and calendar age at death. Familial aggregation of endometriosis was strongly suggested by a significantly higher average kinship coefficient among affecteds compared with unaffecteds (P < 0.001) and a higher recurrence risk for full sibs (0.75; 95% CI 0.45-1.0) compared with maternal half sibs (0.26; 95% CI 0.10-0.41) and paternal half sibs (0.18; 95% CI 0.02-0.34). The segregation ratio among affected mothers (44.2%) was not significantly higher compared with unaffected mothers (36.6%). CONCLUSIONS: The results support familial aggregation of endometriosis in the rhesus macaque, and indicate that this is a promising animal model for the investigation of mode of inheritance, the location of potential genetic susceptibility loci and the influence of environmental factors.

Age Factors↗
PubMed2004

Comparative study of multipoint methods for genotype error detection.

Several programs are currently available for the detection of genotyping error that may or may not be Mendelianly inconsistent. However, no systematic study exists that evaluates their performance under varying pedigree structures and sizes, marker spacing, and allele frequencies. Our simulation study compares four multipoint methods: Merlin, Mendel4, SimWalk2, and Sibmed. We look at empirical thresholds, power, and false-positive rates on 7 small pedigree structures that included sibships with and without genotyped parents, and a three-generation pedigree, using 11 microsatellite markers with 3 different map spacings. Simulated data includes 5,000 replicates of each pedigree structure and marker map, with random genotyping errors in about 4% of the middle marker's genotypes. We found that the default thresholds used by these programs provide low power (47-72%). Power is improved more by adding genotyped siblings than by using more closely spaced markers. Some mistyping methods are sensitive to the frequencies of the observed alleles. Siblings of mistyped individuals have elevated false-positive rates, as do markers close to the mistyped marker. We conclude that thresholds should be decided based on the pedigree and marker data and that greater focus should be placed on modeling genotyping error when computing likelihoods, rather than on detecting and eliminating genotyping errors.

Alleles↗
PubMed2004

Distribution of genome-wide linkage disequilibrium based on microsatellite loci in the Samoan population.

Whole genome-wide scanning for susceptibility loci based on linkage disequilibrium (LD) has been proposed as a powerful strategy for mapping common complex diseases, especially in isolated populations. We recruited 389 individuals from 175 families in the US territory of American Samoa, and 96 unrelated individuals from American Samoa and the independent country of Samoa in order to examine background LD by using a 10 centimorgan (cM) map containing 381 autosomal and 18 X-linked microsatellite markers. We tested the relationship between LD and recombination fraction by fitting a regression model. We estimated a slope of -0.021 (SE 0.00354; p<0.0001). Based on our results, LD in the Samoan population decays steadily as the recombination fraction between autosomal markers increases. The patterns of LD observed in the Samoan population are quite similar to those previously observed in Palau but markedly contrast with those observed in a non-isolated Caucasian sample, where there is essentially no marker-to-marker LD. Our analyses support the hypothesis of a recent bottleneck, which is consistent with the known demographic history of the Samoan population. Furthermore, population substructure tests support the hypothesis that self-identified Samoans represent one homogenous genetic population.

Chromosomes, Human, X↗
PubMed2003

Linkage analysis of adult height with parent-of-origin effects in the Framingham Heart Study.

Current linkage analysis methods for quantitative traits do not usually incorporate imprinting effects. Here, we carried out genome-wide linkage analysis for loci influencing adult height in the Framingham Heart Study subjects using variance components while allowing for imprinting effects. We used a sex-averaged map for the 22 autosomes, while chromosomes 6, 14, 18, and 19 were also analyzed using sex-specific maps. We compared results from these four analyses: 1) non-imprinted with sex-averaged maps, 2) imprinted with sex-averaged maps, 3) non-imprinted with sex-specific maps, and 4) imprinted with sex-specific maps. We found four regions on three chromosomes (14q32, 18p11-q21, 18q21-22, and 19q13) with LOD scores above 2.0, with a maximum LOD score of 3.12, allowing for imprinting and sex-specific maps, at D18S1364 on 18q21. While we obtained significant evidence of imprinting effects in both the 18p11-q21 and 19q13 regions when using sex-averaged maps, there were no significant differences between the imprinted and non-imprinted LOD scores when we used sex-specific maps. Our results illustrate the importance of allowing for gender-specific effects in linkage analyses, whether these are in the form of gender-specific recombination frequencies, or in the form of imprinting effects.

Adult↗
PubMed2003

A genome-wide scan for loci affecting normal adult height in the Framingham Heart Study.

OBJECTIVE: To map loci influencing normal adult height in 335 families from the Framingham Heart Study. METHODS: We analyzed data consisting of 1,702 genotyped individuals who have been followed over time. The first height measurement for individuals between the ages 20-55 years was analyzed in a genome-wide scan using variance component linkage analysis. Sex, age, and cohort effects were removed before analysis. RESULTS: Two regions (18pter-p11, 22q11.2) with multipoint LOD scores >1.0 (-log p values >2.0) were detected: we obtained LOD scores of 1.38 at D18S1364, and of 1.10 at D22S345. Analysis of height as a sex-limited phenotype revealed a peak in the 9p21 region near D9S319 with a maximum LOD score of 1.65 (-log p value >3.0) when only male height phenotypes were used. When only female phenotypes were used, a peak with a maximum LOD score of 1.85 (-log p value of 2.70) was observed in the 11q25-qter region near D11S2359. CONCLUSIONS: Our region of interest on chromosome 9 has been implicated by two prior studies. Variance components analysis appeared to be sensitive to pedigree structures as well as the method of IBD computation used.

Adolescent↗
PubMed2002

Evidence for an inflammatory bowel disease locus on chromosome 3p26: linkage, transmission/disequilibrium and partitioning of linkage.

Crohn's disease and ulcerative colitis, the two major forms of idiopathic inflammatory bowel disease (IBD), are heritable, complex traits that appear to share some but not all susceptibility loci. We report that transmission/disequilibrium test analysis of a Crohn's disease genome scan dataset has detected an inflammatory bowel disease locus on chromosome 3p26 (nominal P=0.000052 and genome-wide corrected P=0.039 at D3S1297). An allele sharing method shows significant linkage (multipoint lod=3.69) in a larger, independent sample of inflammatory bowel disease-affected sibling pairs. A survey of 16 chromosome 3p26 short tandem repeat polymorphisms in a combined sample of 234 independent nuclear families with 324 IBD-affected sibling pairs shows significant linkage to chromosome 3p26 (multipoint lod=3.78) and significant transmission/disequilibrium test results at two adjacent markers (nominal P values in two different transmission/disequilibrium analysis methods=0.00011 and 0.0011 for the first marker, and 0.00071 and 0.00013 for the second marker). There is highly significant under-transmission of a common allele and modest over-transmission of other alleles at both markers. Families with no transmission to affected individuals of the under-transmitted alleles show significant linkage (multipoint lod=4.50) that is significantly greater in four simulation studies (P=0.0001, 0.0000625, 0.0000625 and 0.0000625, respectively) than the linkage evidence in families with transmission of the under-transmitted alleles (multipoint lod=0.12). Thus, the existence of an inflammatory bowel disease locus on chromosome 3p26 is supported by significant linkage, transmission/disequilibrium and partitioning of linkage evidence.

Chromosome Mapping↗
PubMed2002

A tale of two genotypes: consistency between two high-throughput genotyping centers.

Multiple genome-wide scans involving sib-pairs or limited pedigrees have been extensively used for a wide number of complex genetic conditions. Comparing data from two or more scans, as well as combining data, require an understanding of the sources of genotyping errors and data discrepancies. We have conducted two genome-wide scans for age-related maculopathy using the Center for Inherited Disease Research (CIDR) and the Mammalian Genotyping Service (MGS). Thirty individuals were typed in common, in order to allow for the alignment of alleles and comparison of the data sets. The analysis of these 8914 genotypes distributed over 321 markers in common demonstrated excellent agreement between these two laboratories, which have low rates of internal errors. Under the assumption that within each genotype, the smaller MGS allele should correspond to the smaller CIDR allele, the alleles align well between the two centers, with only a small fraction (less than 0.65%) of the aligned alleles showing large differences in sizes. However, since called allele sizes are integer "labels" which may not directly reflect the true underlying allele sizes, it is important to carefully prepare in advance if one wishes to merge data from different laboratories. In particular, it would not suffice to attempt to align alleles by typing only one or two controls in common. Fortunately, for the purposes of linkage analysis, one can avoid merging difficulties by simply carrying out linkage analyses using laboratory-specific allele labels and allele frequencies for each laboratory-specific subset of the data.

Alleles↗
PubMed2002

The genetic epidemiology of spontaneous endometriosis in the rhesus monkey.

The etiology of endometriosis is uncertain, but there is increasing evidence that it is inherited as a complex genetic trait like diabetes or asthma. In such complex traits, multiple gene loci conferring susceptibility to the disease interact with each other and the environment to produce the phenotype. The study of such interactions in humans can be problematic. Thus, the availability of an animal model, which shares many aspects of anatomy and physiology with humans, is potentially a valuable tool for investigating the genetic epidemiology of the disease. Since endometriosis develops spontaneously in the rhesus monkey (Macaca mulatta) and the tissue is morphologically identical to its human counterpart, this population provides a unique opportunity to conduct such studies in this condition.

Animals↗
PubMed2001

Statistics for nonparametric linkage analysis of X-linked traits in general pedigrees.

We have compared the power of several allele-sharing statistics for "nonparametric" linkage analysis of X-linked traits in nuclear families and extended pedigrees. Our rationale was that, although several of these statistics have been implemented in popular software packages, there has been no formal evaluation of their relative power. Here, we evaluate the relative performance of five test statistics, including two new test statistics. We considered sibships of sizes two through four, four different extended pedigrees, 15 different genetic models (12 single-locus models and 3 two-locus models), and varying recombination fractions between the marker and the trait locus. We analytically estimated the sample sizes required for 80% power at a significance level of.001 and also used simulation methods to estimate power for a sample size of 10 families. We tried to identify statistics whose power was robust over a wide variety of models, with the idea that such statistics would be particularly useful for detection of X-linked loci associated with complex traits. We found that a commonly used statistic, S(all), generally performed well under various conditions and had close to the optimal sample sizes in most cases but that there were certain cases in which it performed quite poorly. Our two new statistics did not perform any better than those already in the literature. We also note that, under dominant and additive models, regardless of the statistic used, pedigrees with all-female siblings have very little power to detect X-linked loci.

Alleles↗