Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Daniel E. Weeks is active.

Publication


Featured researches published by Daniel E. Weeks.


Genomics | 1990

Mapping of a gene determining tuberous sclerosis to human chromosome 11q1411q23

Moyra Smith; Susan L. Smalley; Rita M. Cantor; M. Pandolfo; M.I. Gomez; R. Baumann; Pamela Flodman; K. Yoshiyama; Yusuke Nakamura; C. Julier; K. Dumars; Jonathan L. Haines; J. Trofatter; M.A. Spence; Daniel E. Weeks; M. Conneally

Tuberous sclerosis (TSC) is a dominantly inherited disorder characterized by hamartomas and hamartias in one or more organs, most often in skin, brain, and kidneys. Analysis of the basic genetic defect in tuberous sclerosis would be greatly expedited by definitive determination of the chromosomal location of the TSC gene or genes. We have carried out genetic linkage studies in 15 TSC families, using 34 polymorphic markers including protein markers and DNA markers. Pairwise lod scores were calculated using LIPED, and multipoint analyses were carried out using MENDEL. In the pairwise linkage analysis, using a penetrance value of 90%, a significant positive lod score was obtained with MCT128.1 (D11S144), 11q22-11q23, Zmax 3.26 at theta = 0.08. The tyrosinase probe TYR (11q14-11q22) gave a maximum lod score of 2.88 at theta = 0. In the multipoint analyses the most likely order is (TYR,TSC)-MCT128.1-HHH172. Homogeneity analysis was carried out using the USERM9 subprogram of MENDEL, which conducts the admixture test of C. Smith (1963, Ann. Hum. Genet. 27: 175-182). This test provided no evidence for genetic heterogeneity (that is, non-11-linked families) in this data set.


Radiation Research | 1991

Assessment of chronic γ radiosensitivity as an in vitro assay for heterozygote identification of ataxia-telangiectasia

Daniel E. Weeks; Malcolm C. Paterson; Kenneth Lange; Bonnie Andrais; Richard C. Davis; Freda Yoder; Richard A. Gatti

Ataxia-telangiectasia (A-T) is a rare human autosomal recessive disorder characterized by, among other symptoms, catastrophic reaction to conventional radiotherapy. A-T heterozygotes are clinically asymptomatic and their fibroblasts are intermediate in radiosensitivity between homozygotes and normals. We have attempted to identify heterozygotes by assaying for cellular hypersensitivity to chronic gamma irradiation. Cultured dermal fibroblast strains from 13 control subjects and 55 members from a large Amish pedigree segregating for A-T were assayed for loss of colony-forming ability (CFA) in response to 137Cs gamma radiation delivered at a dose rate of 0.8 cGy/min. For each strain, multiple dose-response curves were summarized in a composite D10 value (dose, in cGy, reducing colony survival to 10%). The D10s of the clinically normal controls and of those pedigree members with known A-T genotype formed a trimodal distribution, with the seven obligate heterozygotes displaying an average value (516 cGy) intermediate between that of the 10 healthy controls (797 cGy) and that of the two affected patients (154 cGy). The D10s were modeled statistically using Gaussian penetrance functions. The most parsimonious model yielded a significant difference in D10 means for heterozygotes and normal homozygotes, a significant donor age effect, but no sex effect. We compared probabilistic identification of heterozygotes based on D10 values with identification based on linkage data for two markers, THY1 and D11S144, closely linked to the A-T gene. This comparison revealed that the D10 data were appreciably less informative than the linked markers. Indeed, the extensive overlap between D10 values for heterozygotes and normal homozygotes precludes the use of postirradiation CFA for either accurate identification of heterozygotes or chromosomal mapping of the A-T gene.


Genomics | 1987

Preliminary ranking procedures for multilocus ordering.

Daniel E. Weeks; Kenneth Lange

N linked loci can be arranged in N!/2 possible orders. We describe two criteria for providing a preliminary ranking of the possible orders based on the N(N-1)/2 pairwise lod score curves for the loci. For a given order the first criterion is the sum of the N-1 maximal lod scores corresponding to the adjacent pairs of loci in the order. The second criterion is the minimum of a least-squares problem due to J.M. Lalouel (1977, Heredity 38(1): 61-77). This least-squares problem requires the maximum likelihood recombination fraction estimates and their standard errors. For N small it is feasible to evaluate these measures for every possible order. For N large we use a simulated annealing algorithm. This gives a fairly complete listing of the best-candidate orders without sampling every possible order. These ranking methods are applied to data from linkage groups on chromosomes 1, 6, 11, and 13.


Genomics | 1990

A primary linkage map of the human chromosome 11q22–23 region

Patrick Charmley; Tatiana Foroud; Shan Wei; Patrick Concannon; Daniel E. Weeks; Kenneth Lange; Richard A. Gatti

We have constructed a genetic map of the human chromosomal region 11q22-23 by multipoint linkage analysis of 13 DNA polymorphisms that we have condensed into eight loci. An analysis for linkage disequilibrium between tightly linked probe/enzyme systems allows us to make specific recommendations for future DNA typing at these loci. The resulting sex-averaged multipoint map spans approximately 80 cM and differs considerably from previously reported genetic maps of this region. Our mathematically derived most likely order of the markers is compatible with physical mapping data using somatic cell hybrids. The known localizations of at least 14 functional genes and several disease loci to 11q22-23, including ataxia telangiectasia, make the mapping of this region especially relevant to studies of disease pathogenesis.


Genetic Epidemiology | 1988

Programs for pedigree analysis: Mendel, Fisher, and dGene

Kenneth Lange; Daniel E. Weeks; Michael Boehnke; Jean W. MacCluer


Nature | 1988

Localization of an ataxia-telangiectasia gene to chromosome 11q22–23

Richard A. Gatti; Izzet Berkel; Elena Boder; Gary Braedt; Patrick Charmley; Patrick Concannon; Fügen Ersoy; Tatiana Foroud; Nicholas G J Jaspers; Kenneth Lange; G. Mark Lathrop; M. Leppert; Yusuke Nakamura; P. O'Connell; Malcolm C. Paterson; Winston Salser; Ozden Sanal; Jack Silver; Robert S. Sparkes; Ellen Susi; Daniel E. Weeks; Shan Wei; R. White; Freda Yoder


Genetic Epidemiology | 1990

Measuring the inflation of the lod score due to its maximization over model parameter values in human linkage analysis

Daniel E. Weeks; Thomas Lehner; Elizabeth Squires-Wheeler; Charles A. Kaufmann; Jurg Ott; D. C. Rao


Journal of The National Cancer Institute Monographs | 1999

Discovery of Cancer Susceptibility Genes: Study Designs, Analytic Approaches, and Trends in Technology

Daniel J. Schaid; K. H. Buetow; Daniel E. Weeks; Ellen Wijsman; Sun-Wei Guo; Jurg Ott; Carol Dahl


Cytogenetic and Genome Research | 1992

Preliminary ranking procedures for multilocus ordering based on radiation hybrid data

Daniel E. Weeks; Thomas Lehner; Jurg Ott


Mathematical Medicine and Biology-a Journal of The Ima | 1989

Trials, Tribulations, and Triumphs of the EM Algorithm in Pedigree Analysis

Daniel E. Weeks; Kenneth Lange

Collaboration


Dive into the Daniel E. Weeks's collaboration.

Top Co-Authors

Avatar

Kenneth Lange

University of California

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jurg Ott

Rockefeller University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Freda Yoder

University of South Carolina

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Shan Wei

University of California

View shared research outputs
Top Co-Authors

Avatar

Tatiana Foroud

University of California

View shared research outputs
Researchain Logo
Decentralizing Knowledge