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1.
Genes Immun ; 14(5): 310-6, 2013.
Article in English | MEDLINE | ID: mdl-23615072

ABSTRACT

The Ashkenazi Jewish population has a several-fold higher prevalence of Crohn's disease (CD) compared with non-Jewish European ancestry populations and has a unique genetic history. Haplotype association is critical to CD etiology in this population, most notably at NOD2, in which three causal, uncommon and conditionally independent NOD2 variants reside on a shared background haplotype. We present an analysis of extended haplotypes that showed significantly greater association to CD in the Ashkenazi Jewish population compared with a non-Jewish population (145 haplotypes and no haplotypes with P-value <10(-3), respectively). Two haplotype regions, one each on chromosomes 16 and 21, conferred increased disease risk within established CD loci. We performed exome sequencing of 55 Ashkenazi Jewish individuals and follow-up genotyping focused on variants in these two regions. We observed Ashkenazi Jewish-specific nominal association at R755C in TRPM2 on chromosome 21. Within the chromosome 16 region, R642S of HEATR3 and rs9922362 of BRD7 showed genome-wide significance. Expression studies of HEATR3 demonstrated a positive role in NOD2-mediated NF-κB signaling. The BRD7 signal showed conditional dependence with only the downstream rare CD-causal variants in NOD2, but not with the background haplotype; this elaborates NOD2 as a key illustration of synthetic association.


Subject(s)
Crohn Disease/genetics , Jews/genetics , Mutation, Missense , NF-kappa B/genetics , Proteins/genetics , Signal Transduction/genetics , Chromosomal Proteins, Non-Histone/genetics , Chromosomes, Human, Pair 16/genetics , Exons/genetics , Genetic Predisposition to Disease/genetics , Genome-Wide Association Study , Genotype , HEK293 Cells , Haplotypes , Humans , Logistic Models , Nod2 Signaling Adaptor Protein/genetics , Polymorphism, Single Nucleotide , RNA Interference , Sequence Analysis, DNA
2.
Pharmacogenomics J ; 12(2): 96-104, 2012 Apr.
Article in English | MEDLINE | ID: mdl-21221126

ABSTRACT

Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are rare but severe, potentially life threatening adverse drug reactions characterized by skin blistering. Previous studies have identified drug-specific and population-specific genetic risk factors with large effects. In this study, we report the first genome-wide association study (GWAS) of SJS/TEN induced by a variety of drugs. Our aim was to identify common genetic risk factors with large effects on SJS/TEN risk. We conducted a genome-wide analysis of 96 retrospective cases and 198 controls with a panel of over one million single-nucleotide polymorphisms (SNPs). We further improved power with about 4000 additional controls from publicly available datasets. No genome-wide significant associations with SNPs or copy number variants were observed, although several genomic regions were suggested that may have a role in predisposing to drug-induced SJS/TEN. Our GWAS did not find common, highly penetrant genetic risk factors responsible for SJS/TEN events in the cases selected.


Subject(s)
Genome-Wide Association Study , Stevens-Johnson Syndrome/chemically induced , Stevens-Johnson Syndrome/etiology , Case-Control Studies , Cohort Studies , Female , Humans , Male , Principal Component Analysis , Retrospective Studies , Stevens-Johnson Syndrome/genetics
3.
Hum Genet ; 131(2): 251-63, 2012 Feb.
Article in English | MEDLINE | ID: mdl-21789512

ABSTRACT

Modern day Latin America resulted from the encounter of Europeans with the indigenous peoples of the Americas in 1492, followed by waves of migration from Europe and Africa. As a result, the genomic structure of present day Latin Americans was determined both by the genetic structure of the founding populations and the numbers of migrants from these different populations. Here, we analyzed DNA collected from two well-established communities in Colorado (33 unrelated individuals) and Ecuador (20 unrelated individuals) with a measurable prevalence of the BRCA1 c.185delAG and the GHR c.E180 mutations, respectively, using Affymetrix Genome-wide Human SNP 6.0 arrays to identify their ancestry. These mutations are thought to have been brought to these communities by Sephardic Jewish progenitors. Principal component analysis and clustering methods were employed to determine the genome-wide patterns of continental ancestry within both populations using single nucleotide polymorphisms, complemented by determination of Y-chromosomal and mitochondrial DNA haplotypes. When examining the presumed European component of these two communities, we demonstrate enrichment for Sephardic Jewish ancestry not only for these mutations, but also for other segments as well. Although comparison of both groups to a reference Hispanic/Latino population of Mexicans demonstrated proximity and similarity to other modern day communities derived from a European and Native American two-way admixture, identity-by-descent and Y-chromosome mapping demonstrated signatures of Sephardim in both communities. These findings are consistent with historical accounts of Jewish migration from the realms that comprise modern Spain and Portugal during the Age of Discovery. More importantly, they provide a rationale for the occurrence of mutations typically associated with the Jewish Diaspora in Latin American communities.


Subject(s)
DNA, Mitochondrial , Hispanic or Latino/genetics , Jews/genetics , Polymorphism, Single Nucleotide , Black People/genetics , Chromosomes, Human, Y , Emigration and Immigration , Female , Haplotypes , Humans , Male , Mutation , Phylogeography , White People/genetics
4.
Genetics ; 190(2): 679-89, 2012 Feb.
Article in English | MEDLINE | ID: mdl-22135348

ABSTRACT

Whole-genome sequencing in an isolated population with few founders directly ascertains variants from the population bottleneck that may be rare elsewhere. In such populations, shared haplotypes allow imputation of variants in unsequenced samples without resorting to complex statistical methods as in studies of outbred cohorts. We focus on an isolated population cohort from the Pacific Island of Kosrae, Micronesia, where we previously collected SNP array and rich phenotype data for the majority of the population. We report identification of long regions with haplotypes co-inherited between pairs of individuals and methodology to leverage such shared genetic content for imputation. Our estimates show that sequencing as few as 40 personal genomes allows for inference in up to 60% of the 3000-person cohort at the average locus. We ascertained a pilot data set of whole-genome sequences from seven Kosraean individuals, with average 5× coverage. This assay identified 5,735,306 unique sites of which 1,212,831 were previously unknown. Additionally, these variants are unusually enriched for alleles that are rare in other populations when compared to geographic neighbors (published Korean genome SJK). We used the presence of shared haplotypes between the seven Kosraen individuals to estimate expected imputation accuracy of known and novel homozygous variants at 99.6% and 97.3%, respectively. This study presents whole-genome analysis of a homogenous isolate population with emphasis on optimal rare variant inference.


Subject(s)
Genome, Human , Genome-Wide Association Study , Polymorphism, Single Nucleotide , Population Groups/genetics , Algorithms , Alleles , Cohort Studies , Founder Effect , Gene Frequency , Genotype , Humans , Pacific Islands , Reproducibility of Results
5.
J Comput Biol ; 8(4): 361-71, 2001.
Article in English | MEDLINE | ID: mdl-11571072

ABSTRACT

In sequencing by hybridization (SBH), one has to reconstruct a sequence from its l-long substrings. SBH was proposed as an alternative to gel-based DNA sequencing approaches, but in its original form the method is not competitive. Positional SBH (PSBH) is a recently proposed enhancement of SBH in which one has additional information about the possible positions of each substring along the target sequence. We give a linear time algorithm for solving PSBH when each substring has at most two possible positions. On the other hand, we prove that the problem is NP-complete if each substring has at most three possible positions. We also show that PSBH is NP-complete if the set of allowed positions for each substring is an interval of length k and provide a fast algorithm for the latter problem when k is bounded.


Subject(s)
Algorithms , Nucleic Acid Hybridization , Sequence Analysis, DNA/methods , Computational Biology , Sequence Analysis, DNA/statistics & numerical data
6.
Opt Lett ; 26(17): 1332-4, 2001 Sep 01.
Article in English | MEDLINE | ID: mdl-18049599

ABSTRACT

We report the design and experimental realization of a solar-pumped dimer gas-laser amplifier. The amplifying medium is Te(2) gas, which is capable of amplifying laser signals over a broad spectral range. A gain of 42% was measured at a wavelength of 632.8 nm. We also present studies of the material characteristics and a brief review of the study of other candidate materials for solar pumping.

7.
Article in English | MEDLINE | ID: mdl-10977087

ABSTRACT

Recent high-density microarray technologies allow, in principle, the determination of all k-mers that appear along a DNA sequence, for k = 8 - 10 in a single experiment on a standard chip. The k-mer contents, also called the spectrum of the sequence, is not sufficient to uniquely reconstruct a sequence longer than a few hundred bases. We have devised a polynomial algorithm that reconstructs the sequence, given the spectrum and a homologous sequence. This situation occurs, for example, in the identification of single nucleotide polymorphisms (SNPs), and whenever a homologue of the target sequence is known. The algorithm is robust, can handle errors in the spectrum and assumes no knowledge of the k-mer multiplicities. Our simulations show that with realistic levels of SNPs, the algorithm correctly reconstructs a target sequence of length up to 2,000 nucleotides when a polymorphic sequence is known. The technique is generalized to handle profiles and HMMs as input instead of a single homologous sequence.


Subject(s)
Algorithms , Genome , Nucleic Acid Hybridization , Sequence Alignment/methods , Animals , Humans , Markov Chains , Oligonucleotide Array Sequence Analysis
8.
Mol Biol Evol ; 17(6): 890-6, 2000 Jun.
Article in English | MEDLINE | ID: mdl-10833195

ABSTRACT

A dynamic programming algorithm is developed for maximum-likelihood reconstruction of the set of all ancestral amino acid sequences in a phylogenetic tree. To date, exhaustive algorithms that find the most likely set of ancestral states (joint reconstruction) have running times that scale exponentially with the number of sequences and are thus limited to very few taxa. The time requirement of our new algorithm scales linearly with the number of sequences and is therefore applicable to practically any number of taxa. A detailed description of the new algorithm and an example of its application to cytochrome b sequences are provided.


Subject(s)
Algorithms , Amino Acid Sequence , Evolution, Molecular , Models, Genetic , Models, Statistical , Phylogeny , Animals , Computer Simulation , Humans , Likelihood Functions , Software
9.
J Comput Biol ; 7(5): 745-60, 2000.
Article in English | MEDLINE | ID: mdl-11153097

ABSTRACT

Optical mapping is a novel technique for generating the restriction map of a DNA molecule by observing many single, partially digested copies of it, using fluorescence microscopy. The real-life problem is complicated by numerous factors: false positive and false negative cut observations, inaccurate location measurements, unknown orientations, and faulty molecules. We present an algorithm for solving the real-life problem. The algorithm combines continuous optimization and combinatorial algorithms applied to a nonuniform discretization of the data. We present encouraging results on real experimental data and on simulated data.


Subject(s)
Algorithms , Restriction Mapping/methods , Computer Simulation , DNA/genetics , Microscopy, Fluorescence , Optics and Photonics , Restriction Mapping/statistics & numerical data
10.
Article in English | MEDLINE | ID: mdl-10786298

ABSTRACT

Optical mapping is a novel technique for generating the restriction map of a DNA molecule by observing many single, partially digested, copies of it, using fluorescence microscopy. The real-life problem is complicated by numerous factors: false positive and false negative cut observations, inaccurate location measurements, unknown orientations and faulty molecules. We present an algorithm for solving the real-life problem. The algorithm combines continuous optimization and combinatorial algorithms, applied to a non-uniform discretization of the data. We present encouraging results on real experimental data.


Subject(s)
Algorithms , Restriction Mapping/methods , Likelihood Functions , Microscopy, Fluorescence/methods , Models, Statistical , Probability
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