Abstract:
:Artificial neural networks were applied to the alcoholism data to reveal nonlinear relationships between intermediate phenotypes, marker identity-by-descent sharing, and the affection status. A variable number of hidden units were considered to achieve a balance between the minimal mean-squared error and over-fitting of the data. The predictability of the affection status based on intermediate phenotype information (event-related potential 300, monoamine oxidase, and gender) was 65% to 75%, and sensitivity/specificity ranged around 50% to 80%. The IBD approach succeeded in identifying the same marker as previous studies, but also found additional peaks.
journal_name
Genet Epidemioljournal_title
Genetic epidemiologyauthors
Li W,Haghighi F,Falk CTdoi
10.1002/gepi.1370170738subject
Has Abstractpub_date
1999-01-01 00:00:00pages
S223-8eissn
0741-0395issn
1098-2272journal_volume
17 Suppl 1pub_type
杂志文章abstract::We investigated the independent contributions of a candidate gene and an environmental factor, and the presence of gene x environment (G x E) interaction, in the etiology of a disease in the Genetic Analysis Workshop (GAW) 12 problem 2 simulated data using a two-stage approach utilizing both case-control and case-pare...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.2001.21.s1.s843
更新日期:2001-01-01 00:00:00
abstract::Variable selection is growing in importance with the advent of high throughput genotyping methods requiring analysis of hundreds to thousands of single nucleotide polymorphisms (SNPs) and the increased interest in using these genetic studies to better understand common, complex diseases. Up to now, the standard approa...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.20353
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abstract::It is commonly believed that multiple interacting genes increase the susceptibility of genetically complex diseases, yet few linkage analyses of human diseases scan for more than one locus at a time. To overcome some of the statistical and computational limitations of a simultaneous search for two disease susceptibili...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.20223
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journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/(SICI)1098-2272(1999)16:1<95::AID-GEPI8>3.
更新日期:1999-01-01 00:00:00
abstract::Systemic lupus erythematosus (SLE) is a complex disease which is partly determined by genetic factors which influence susceptibility to the disease phenotype. In this association study we try to define the high risk haplotypes which are responsible for this disease, together with other environmental factors. In many o...
journal_title:Genetic epidemiology
pub_type: 杂志文章
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journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.1370100638
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journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.20365
更新日期:2009-02-01 00:00:00
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journal_title:Genetic epidemiology
pub_type: 杂志文章
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更新日期:1989-01-01 00:00:00
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journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.22363
更新日期:2020-09-30 00:00:00
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journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.20257
更新日期:2008-01-01 00:00:00
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journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.1370110506
更新日期:1994-01-01 00:00:00
abstract::To explain the association between HLA-DRB1 gene and rheumatoid arthritis (RA), two main hypotheses have been proposed. The first, the shared epitope hypothesis, assumes a direct role of DRB1 in RA susceptibility. The second hypothesis assumes a recessive disease susceptibility gene in linkage disequilibrium with DRB1...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/(SICI)1098-2272(1998)15:4<419::AID-GEPI7>3
更新日期:1998-01-01 00:00:00
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journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.20255
更新日期:2008-01-01 00:00:00
abstract::For many clinical studies in cancer, germline DNA is prospectively collected for the purpose of discovering or validating single-nucleotide polymorphisms (SNPs) associated with clinical outcomes. The primary clinical endpoint for many of these studies are time-to-event outcomes such as time of death or disease progres...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.21645
更新日期:2012-09-01 00:00:00
abstract::To better understand the contribution of major gene influences to individual differences in cardiovascular reactivity, we performed a segregation analysis on blood pressure responses to two laboratory tasks, mental arithmetic and bicycle exercise. The study population consisted of 1,451 adults (age > or = 18 years) wh...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/(SICI)1098-2272(1997)14:1<35::AID-GEPI3>3.
更新日期:1997-01-01 00:00:00
abstract::Complex diseases are presumed to be the results of interactions of several genes and environmental factors, with each gene only having a small effect on the disease. Thus, the methods that can account for gene-gene interactions to search for a set of marker loci in different genes or across genome and to analyze these...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.20304
更新日期:2008-05-01 00:00:00
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journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.20291
更新日期:2007-01-01 00:00:00
abstract::Bone mass may be so reduced in some individuals as to be characterized as osteoporotic, with resulting fracture, particularly of the proximal femur, vertebrae, or wrist. We identified 34 mother-daughter sets (n = 70) and 29 sibling sets (n = 59) from a community study of bone mass correlates to assess the degree of re...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.1370030204
更新日期:1986-01-01 00:00:00
abstract::Association tests of multilocus haplotypes are of interest both in linkage disequilibrium mapping and in candidate gene studies. For case-parent trios, I discuss the extension of existing multilocus methods to include ambiguous haplotypes in tests of models which distinguish between the cis and trans phase. A likeliho...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.10252
更新日期:2003-09-01 00:00:00
abstract::Family-based designs enriched with affected subjects and disease associated variants can increase statistical power for identifying functional rare variants. However, few rare variant analysis approaches are available for time-to-event traits in family designs and none of them applicable to the X chromosome. We develo...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.22054
更新日期:2017-09-01 00:00:00
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journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.22129
更新日期:2018-07-01 00:00:00
abstract::We used a case-control design to scan the genome for any associations between genetic markers and disease susceptibility loci using the first two replicates of the Mycenaean population from the GAW11 (Problem 2) data. Using a case-control approach, we constructed a series of 2-by-3 tables for each allele of every mark...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.13701707128
更新日期:1999-01-01 00:00:00
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journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.22276
更新日期:2020-04-01 00:00:00
abstract::Genome-wide association studies are proven tools for finding disease genes, but it is often necessary to combine many cohorts into a meta-analysis to detect statistically significant genetic effects. Often the component studies are performed by different investigators on different populations, using different chips wi...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.21949
更新日期:2016-02-01 00:00:00
abstract::Genetic studies are continuing to generate volumes and variety of data that can be used to examine the genetic effects. Often the effect of a genetic variant varies by nongenetic measures, what is traditionally defined as gene-environment interaction (G×E). If the G×E term is neglected, estimates of the main effects c...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.22154
更新日期:2018-12-01 00:00:00
abstract::Mantel statistics provide an additional step to standard approaches in the analysis of gene expression and covariate data, allow the calculation of standard statistics such as correlation, partial correlation, and regression coefficients, and, with permutation tests, provide P values for these statistics to relate the...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.1115
更新日期:2002-06-01 00:00:00
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journal_title:Genetic epidemiology
pub_type: 临床试验,杂志文章
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更新日期:1997-01-01 00:00:00
abstract::Three characteristics of genetic epidemiology that distinguish it from its parent disciplines are a focus on population-based research, a focus on the joint effects of genes and the environment, and the incorporation of the underlying biology of the disease into its conceptual models. These principles are illustrated ...
journal_title:Genetic epidemiology
pub_type:
doi:10.1002/1098-2272(200012)19:4<289::AID-GEPI2>3.0.C
更新日期:2000-12-01 00:00:00
abstract::This paper discusses the theory and implementation of a model for mapping X-linked quantitative trait loci (QTL). As a result of X inactivation, a female's body is subdivided into a number of patches. In each patch one of her two X chromosomes is randomly switched off. This smooths the allelic contributions in a heter...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.20158
更新日期:2006-07-01 00:00:00
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journal_title:Genetic epidemiology
pub_type: 杂志文章
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更新日期:2001-01-01 00:00:00