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James L. Weber

Bio: James L. Weber is an academic researcher from Marshfield Clinic. The author has contributed to research in topics: Gene mapping & Locus (genetics). The author has an hindex of 70, co-authored 172 publications receiving 30301 citations. Previous affiliations of James L. Weber include QIMR Berghofer Medical Research Institute & Walter Reed Army Institute of Research.


Papers
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Journal Article
TL;DR: It is reported that specific human (dC-dA)n.(dG-dT)n blocks are polymorphic in length among individuals and therefore represent a vast new pool of potential genetic markers.
Abstract: Interspersed DNA elements of the form (dC-dA)n.(dG-dT)n constitute one of the most abundant human repetitive DNA families. We report that specific human (dC-dA)n.(dG-dT)n blocks are polymorphic in length among individuals and therefore represent a vast new pool of potential genetic markers. Comparison of sequences from the literature for (dC-dA)n.(dG-dT)n blocks cloned two or more times revealed length polymorphisms in seven of eight cases. Variations in the lengths of 10 (dC-dA)n.(dG-dT)n blocks were directly demonstrated by amplifying the DNA within and immediately flanking the repeat blocks by using the polymerase chain reaction and then resolving the amplified DNA on polyacrylamide DNA sequencing gels. Use of the polymerase chain reaction to detect DNA polymorphisms offers improved sensitivity and speed compared with standard blotting and hybridization.

3,457 citations

Journal ArticleDOI
20 Dec 2002-Science
TL;DR: General agreement of genetic and predefined populations suggests that self-reported ancestry can facilitate assessments of epidemiological risks but does not obviate the need to use genetic information in genetic association studies.
Abstract: We studied human population structure using genotypes at 377 autosomal microsatellite loci in 1056 individuals from 52 populations. Within-population differences among individuals account for 93 to 95% of genetic variation; differences among major groups constitute only 3 to 5%. Nevertheless, without using prior information about the origins of individuals, we identified six main genetic clusters, five of which correspond to major geographic regions, and subclusters that often correspond to individual populations. General agreement of genetic and predefined populations suggests that self-reported ancestry can facilitate assessments of epidemiological risks but does not obviate the need to use genetic information in genetic association studies.

2,661 citations

Journal ArticleDOI
TL;DR: A total of 20,000 parent-offspring transfers of alleles were examined through the genotyping within 40 CEPH reference families of 28 short tandem repeat polymorphisms (STRPs) located on chromosome 19, and the average mutation rate was nearly four times higher than the average rate for dinucleotide STRPs.
Abstract: A total of 20,000 parent-offspring transfers of alleles were examined through the genotyping within 40 CEPH reference families of 28 short tandem repeat polymorphisms (STRPs) located on chromosome 19. Forty-seven initial mutation events were detected in the STRPs using DNA from transformed lymphoblastoid cell lines, but less than half (39%) could be verified using DNA from untransformed cells. None of the cases where three alleles were observed in a single individual could be verified using DNA from untransformed cells. The average mutation rate for the chromosome 19 STRPs after correction for events which would not be detectable as Mendelian errors was 1.2 x 10(-3) per locus per gamete per generation. This rate may have been inflated by somatic as opposed to germline events. Observed mutation rates for individual STRPs ranged from 0 to 8 x 10(-3). The average mutation rate for tetranucleotide STRPs was nearly four times higher than the average rate for dinucleotide STRPs. For determination of the mode of mutation, events involving STRPs on other chromosomes were also examined. Of the events which were verified using DNA from untransformed lymphocytes or which were likely among those for which DNA from untransformed cells was not available: none were located at the sites of meiotic recombination, 91% involved the gain or loss of a single repeat unit, and 15 occurred in the male germline compared to 4 in the female germline (p = 0.01).

1,580 citations

Journal ArticleDOI
22 May 2009-Science
TL;DR: A detailed genetic analysis of most major groups of African populations is provided, suggesting that Africans represent 14 ancestral populations that correlate with self-described ethnicity and shared cultural and/or linguistic properties.
Abstract: Africa is the source of all modern humans, but characterization of genetic variation and of relationships among populations across the continent has been enigmatic. We studied 121 African populations, four African American populations, and 60 non-African populations for patterns of variation at 1327 nuclear microsatellite and insertion/deletion markers. We identified 14 ancestral population clusters in Africa that correlate with self-described ethnicity and shared cultural and/or linguistic properties. We observed high levels of mixed ancestry in most populations, reflecting historical migration events across the continent. Our data also provide evidence for shared ancestry among geographically diverse hunter-gatherer populations (Khoesan speakers and Pygmies). The ancestry of African Americans is predominantly from Niger-Kordofanian (approximately 71%), European (approximately 13%), and other African (approximately 8%) populations, although admixture levels varied considerably among individuals. This study helps tease apart the complex evolutionary history of Africans and African Americans, aiding both anthropological and genetic epidemiologic studies.

1,376 citations

Journal ArticleDOI
James L. Weber1
01 Aug 1990-Genomics
TL;DR: The longest run of uninterrupted CA or GT repeats was found to be the best predictor of informativeness of (dC-dA)n.(dG-dT)n polymorphisms regardless of the repeat sequence category.

1,337 citations


Cited by
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Journal ArticleDOI
TL;DR: This work introduces PLINK, an open-source C/C++ WGAS tool set, and describes the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation, which focuses on the estimation and use of identity- by-state and identity/descent information in the context of population-based whole-genome studies.
Abstract: Whole-genome association studies (WGAS) bring new computational, as well as analytic, challenges to researchers. Many existing genetic-analysis tools are not designed to handle such large data sets in a convenient manner and do not necessarily exploit the new opportunities that whole-genome data bring. To address these issues, we developed PLINK, an open-source C/C++ WGAS tool set. With PLINK, large data sets comprising hundreds of thousands of markers genotyped for thousands of individuals can be rapidly manipulated and analyzed in their entirety. As well as providing tools to make the basic analytic steps computationally efficient, PLINK also supports some novel approaches to whole-genome data that take advantage of whole-genome coverage. We introduce PLINK and describe the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation. In particular, we focus on the estimation and use of identity-by-state and identity-by-descent information in the context of population-based whole-genome studies. This information can be used to detect and correct for population stratification and to identify extended chromosomal segments that are shared identical by descent between very distantly related individuals. Analysis of the patterns of segmental sharing has the potential to map disease loci that contain multiple rare variants in a population-based linkage analysis.

26,280 citations

Journal ArticleDOI
Eric S. Lander1, Lauren Linton1, Bruce W. Birren1, Chad Nusbaum1  +245 moreInstitutions (29)
15 Feb 2001-Nature
TL;DR: The results of an international collaboration to produce and make freely available a draft sequence of the human genome are reported and an initial analysis is presented, describing some of the insights that can be gleaned from the sequence.
Abstract: The human genome holds an extraordinary trove of information about human development, physiology, medicine and evolution. Here we report the results of an international collaboration to produce and make freely available a draft sequence of the human genome. We also present an initial analysis of the data, describing some of the insights that can be gleaned from the sequence.

22,269 citations

28 Jul 2005
TL;DR: PfPMP1)与感染红细胞、树突状组胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作�ly.
Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1(PfPMP1)与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员,通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

18,940 citations

Journal ArticleDOI
TL;DR: It is found that in most cases the estimated ‘log probability of data’ does not provide a correct estimation of the number of clusters, K, and using an ad hoc statistic ΔK based on the rate of change in the log probability between successive K values, structure accurately detects the uppermost hierarchical level of structure for the scenarios the authors tested.
Abstract: The identification of genetically homogeneous groups of individuals is a long standing issue in population genetics. A recent Bayesian algorithm implemented in the software STRUCTURE allows the identification of such groups. However, the ability of this algorithm to detect the true number of clusters (K) in a sample of individuals when patterns of dispersal among populations are not homogeneous has not been tested. The goal of this study is to carry out such tests, using various dispersal scenarios from data generated with an individual-based model. We found that in most cases the estimated 'log probability of data' does not provide a correct estimation of the number of clusters, K. However, using an ad hoc statistic DeltaK based on the rate of change in the log probability of data between successive K values, we found that STRUCTURE accurately detects the uppermost hierarchical level of structure for the scenarios we tested. As might be expected, the results are sensitive to the type of genetic marker used (AFLP vs. microsatellite), the number of loci scored, the number of populations sampled, and the number of individuals typed in each sample.

18,572 citations

Journal ArticleDOI
TL;DR: The AFLP technique provides a novel and very powerful DNA fingerprinting technique for DNAs of any origin or complexity that allows the specific co-amplification of high numbers of restriction fragments.
Abstract: A novel DNA fingerprinting technique called AFLP is described. The AFLP technique is based on the selective PCR amplification of restriction fragments from a total digest of genomic DNA. The technique involves three steps: (i) restriction of the DNA and ligation of oligonucleotide adapters, (ii) selective amplification of sets of restriction fragments, and (iii) gel analysis of the amplified fragments. PCR amplification of restriction fragments is achieved by using the adapter and restriction site sequence as target sites for primer annealing. The selective amplification is achieved by the use of primers that extend into the restriction fragments, amplifying only those fragments in which the primer extensions match the nucleotides flanking the restriction sites. Using this method, sets of restriction fragments may be visualized by PCR without knowledge of nucleotide sequence. The method allows the specific co-amplification of high numbers of restriction fragments. The number of fragments that can be analyzed simultaneously, however, is dependent on the resolution of the detection system. Typically 50-100 restriction fragments are amplified and detected on denaturing polyacrylamide gels. The AFLP technique provides a novel and very powerful DNA fingerprinting technique for DNAs of any origin or complexity.

12,960 citations