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Showing papers by "Michael Boehnke published in 1998"


Journal ArticleDOI
TL;DR: The results suggest that the discordant-alleles test, which compares the numbers of nonmatching alleles in DSPs, is the most powerful of the tests considered, for a wide class of disease models and marker types.
Abstract: Family-based tests of association provide the opportunity to test for an association between a disease and a genetic marker. Such tests avoid false-positive results produced by population stratification, so that evidence for association may be interpreted as evidence for linkage or causation. Several methods that use family-based controls have been proposed, including the haplotype relative risk, the transmission-disequilibrium test, and affected family-based controls. However, because these methods require genotypes on affected individuals and their parents, they are not ideally suited to the study of late-onset diseases. In this paper, we develop several family-based tests of association that use discordant sib pairs (DSPs) in which one sib is affected with a disease and the other sib is not. These tests are based on statistics that compare counts of alleles or genotypes or that test for symmetry in tables of alleles or genotypes. We describe the use of a permutation framework to assess the significance of these statistics. These DSP-based tests provide the same general advantages as parent-offspring trio-based tests, while being applicable to essentially any disease; they may also be tailored to particular hypotheses regarding the genetic model. We compare the statistical properties of our DSP-based tests by computer simulation and illustrate their use with an application to Alzheimer disease and the apolipoprotein E polymorphism. Our results suggest that the discordant-alleles test, which compares the numbers of nonmatching alleles in DSPs, is the most powerful of the tests we considered, for a wide class of disease models and marker types. Finally, we discuss advantages and disadvantages of the DSP design for genetic association mapping.

211 citations


Journal ArticleDOI
TL;DR: Clinical and genetic evaluations of members of a large family in which nanophthalmos is transmitted in an autosomal dominant manner demonstrated highly significant evidence that nanophilethalmos in this family is the result of a defect in a previously unidentified locus (NNO1) on chromosome 11.
Abstract: Summary Nanophthalmos is an uncommon developmental ocular disorder characterized by a small eye, as indicated by short axial length, high hyperopia (severe farsightedness), high lens/eye volume ratio, and a high incidence of angle-closure glaucoma. We performed clinical and genetic evaluations of members of a large family in which nanophthalmos is transmitted in an autosomal dominant manner. Ocular examinations of 22 affected family members revealed high hyperopia (range +7.25–+13.00 diopters; mean +9.88 diopters) and short axial length (range 17.55–19.28 mm; mean 18.13 mm). Twelve affected family members had angle-closure glaucoma or occludable anterior-chamber angles. Linkage analysis of a genome scan demonstrated highly significant evidence that nanophthalmos in this family is the result of a defect in a previously unidentified locus ( NNO1 ) on chromosome 11. The gene was localized to a 14.7-cM interval between D11S905 and D11S987, with a maximum LOD score of 5.92 at a recombination fraction of .00 for marker D11S903 and a multipoint maximum LOD score of 6.31 for marker D11S1313. NNO1 is the first human locus associated with nanophthalmos or with an angle-closure glaucoma phenotype, and the identification of the NNO1 locus is the first step toward the cloning of the gene. A cloned copy of the gene will enable examination of the relationship, if any, between nanophthalmos and less severe forms of hyperopia and between nanophthalmos and other conditions in which angle-closure glaucoma is a feature.

117 citations


Journal ArticleDOI
TL;DR: The work demonstrates the feasibility of collecting a large number of affected sib-pair families with NIDDM to provide data that will enable a whole genome search approach, including linkage analysis.
Abstract: OBJECTIVE To map and identify susceptibility genes for NIDDM and for the intermediate quantitative traits associated with NIDDM. RESEARCH DESIGN AND METHODS We describe the methodology and sample of the Finland-United States Investigation of NIDDM Genetics (FUSION) study. The whole genome search approach is being applied in studies of several different ethnic groups to locate susceptibility genes for NIDDM. Detailed description of the study materials and designs of such studies are important, particularly when comparing the findings in these studies and when combining different data sets. RESULTS Using a careful selection strategy, we have ascertained 495 families with confirmed NIDDM in at least two siblings and no history of IDDM among the first-degree relatives. These families were chosen from more than 22,000 NIDDM patients, representative of patients with NIDDM in the Finnish population. In a subset of families, a spouse and offspring were sampled, and they participated in a frequently sampled intravenous glucose tolerance test (FSIGT) analyzed with the Minimal Model. An FSIGT was completed successfully for at least two nondiabetic offspring in 156 families with a confirmed nondiabetic spouse and no history of IDDM in first-degree relatives. CONCLUSIONS Our work demonstrates the feasibility of collecting a large number of affected sib-pair families with NIDDM to provide data that will enable a whole genome search approach, including linkage analysis.

101 citations


Journal ArticleDOI
TL;DR: A recent study reported genetic linkage of Nijmegen breakage syndrome (NBS) to human chromosome 8q21, with strong linkage disequilibrium detected at marker D8S1811 in eastern European NBS families as mentioned in this paper.
Abstract: Summary Nijmegen breakage syndrome (NBS) is a rare autosomal recessive disorder characterized by microcephaly, a birdlike face, growth retardation, immunodeficiency, lack of secondary sex characteristics in females, and increased incidence of lymphoid cancers. NBS cells display a phenotype similar to that of cells from ataxia-telangiectasia patients, including chromosomal instability, radiation sensitivity, and aberrant cell-cycle–checkpoint control following exposure to ionizing radiation. A recent study reported genetic linkage of NBS to human chromosome 8q21, with strong linkage disequilibrium detected at marker D8S1811 in eastern European NBS families. We collected a geographically diverse group of NBS families and tested them for linkage, using an expanded panel of markers at 8q21. In this article, we report linkage of NBS to 8q21 in 6/7 of these families, with a maximum LOD score of 3.58. Significant linkage disequilibrium was detected for 8/13 markers tested in the 8q21 region, including D8S1811. In order to further localize the gene for NBS, we generated a radiation-hybrid map of markers at 8q21 and constructed haplotypes based on this map. Examination of disease haplotypes segregating in 11 NBS pedigrees revealed recombination events that place the NBS gene between D8S1757 and D8S270. A common founder haplotype was present on 15/18 disease chromosomes from 9/11 NBS families. Inferred (ancestral) recombination events involving this common haplotype suggest that NBS can be localized further, to an interval flanked by markers D8S273 and D8S88.

56 citations


Journal ArticleDOI
TL;DR: The analysis of affected sibling pairs is described and some of the challenges in applying genetic linkage analysis methods are discussed.
Abstract: SUMMARY We provide an introduction to genetic linkage analysis. We discuss methods for the genetic analysis of common, complex disease such as diabetes, heart disease or hypertension. We describe the analysis of affected sibling pairs and discuss some of the challenges in applying these methods. The power of the rapidly expanding genetic technology holds the promise of identifying genes for familial traits that do not exhibit obvious inheritance patterns consistent with single-gene (Mendelian) models. We call these traits complex and examples include heart disease, hypertension, schizophrenia, and diabetes. Due to the potential for enormous public health benefits, geneticists have been enticed to focus their recent research efforts on finding genes affecting liability to such common, complex traits. There are two levels of complexity: phenotypic complexity such as different clinical forms of the disease, uncertainties in diagnosis, or variations in the definition of the disease itself; and etiologic complexity such that the disease may be caused independently by environmental agents or by one or more genes. Etiologic complexity may be further increased by interaction between the various environmental and genetic causes. Inheritance patterns among the genetic cases may be obscured further because genetically predisposed individuals do not always exhibit the disease (incomplete penetrance) and because the disease can occur in individuals who are not genetically predisposed (sporadic cases). Moreover, characteristics of the trait itself such as late age-of-onset, delayed diagnosis, and variable or subjective diagnostic criteria can make such diseases difficult to study using traditional genetic analysis methods. Despite multiple sources of noise, complex diseases often show evidence for a genetic component. This evidence comes from studies of twins, studies of differences in population prevalence among different ethnic groups, epidemiologic studies demonstrating increased risk to relatives of affected individuals, and linkage studies of a few large families with rare disease subtypes. The complexity of these traits requires a multidisciplinary approach to identify and describe the role of genetic factors in disease etiology.

55 citations


Journal ArticleDOI
TL;DR: The authors' findings strongly suggest that the juvenile-onset POAG locus in this family is the GLC1A locus and that the underlying cause of the disease is the IIe477Asn TIGR mutation that cosegregates with juveniles in one branch of this large family.

54 citations


Journal ArticleDOI
TL;DR: The strongest evidence for linkage was at marker D2S125 and best estimates of lambdas (risk to siblings of probands/population prevalence) using this marker were 1.37 under an additive model and 1.36 under a multiplicative model.
Abstract: In the first reported positive result from a genome scan for non-insulin-dependent diabetes mellitus (NIDDM), Hanis et al. found significant evidence of linkage for NIDDM on chromosome 2q37 and named the putative disease locus NIDDM1 (Hanis et al. 1996. Nat. Genet. 13:161-166). Their total sample was comprised of 440 Mexican-American affected sib-pairs from 246 sibships. The strongest evidence for linkage was at marker D2S125 and best estimates of lambdas (risk to siblings of probands/population prevalence) using this marker were 1.37 under an additive model and 1.36 under a multiplicative model. We examined this chromosomal region using linkage analysis in a Finnish sample comprised of 709 affected sib-pairs from 472 sibships. We excluded this region in our sample (multipoint logarithm of odds score /= 1.37. We discuss possible reasons why linkage to 2q37 was not found and conclude that this region is unlikely to be playing a major role in NIDDM susceptibility in the Finnish Caucasian population.

26 citations