Design of artificial neural network and its applications to the analysis of alcoholism data.


: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.


Genet Epidemiol


Genetic epidemiology


Li W,Haghighi F,Falk CT




Has Abstract


1999-01-01 00:00:00








17 Suppl 1


  • Autoimmune thyroid disease in type I diabetic families.

    abstract::The prevalence rate for autoimmune thyroid disease (ATD) is about 30 times higher in the type I diabetic (IDDM) families that were ascertained for Genetic Analysis Workshop 5 (GAW5) than in the general population. Two approaches were used to study the clustering of ATD and IDDM in these families: 1) HLA haplotype shar...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Payami H,Joe S,Thomson G

    更新日期:1989-01-01 00:00:00

  • Explorative two-locus linkage analysis suggests a multiplicative interaction between the 7q32 and 16p13 myoclonic seizures-related photosensitivity loci.

    abstract::In traits suspected to be governed by at least two loci, linkage analysis incorporating the joint action of both loci may improve the power to detect linkage, increase the precision of estimating locus positions and provide insight into the underlying etiological mechanism. Recently, we mapped two susceptibility loci ...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Pinto D,Kasteleijn-Nolst Trenité DG,Cordell HJ,Mattheisen M,Strauch K,Lindhout D,Koeleman BP

    更新日期:2007-01-01 00:00:00

  • Region-based association tests for sequencing data on survival traits.

    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


    authors: Chien LC,Bowden DW,Chiu YF

    更新日期:2017-09-01 00:00:00

  • Lifestyle and blood pressure levels in male twins in Utah.

    abstract::Healthy male monozygotic (MZ) and dizygotic (DZ) twin pairs (MZ pairs = 77; DZ pairs = 88) were studied to assess the effect of dietary intake, physical activity, physical fitness, body mass index (BMI), sum of the triceps and subscapular skinfold measurements, alcohol and caffeine consumption, and smoking patterns on...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Slattery ML,Bishop DT,French TK,Hunt SC,Meikle AW,Williams RR

    更新日期:1988-01-01 00:00:00

  • Commentary: the affected sib-pair method in the context of an epidemiologic study design.

    abstract::The purpose of this commentary is to provide a framework for using the well-known sib-pair methodology in the context of epidemiologic study designs. Using examples from the Pittsburgh family studies of insulin-dependent diabetes mellitus, we illustrate that the sib-pair method can be used in family-based epidemiologi...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Khoury MJ,Flanders WD,Lipton RB,Dorman JS

    更新日期:1991-01-01 00:00:00

  • Population-based family study designs: an interdisciplinary research framework for genetic epidemiology.

    abstract::Most complex traits such as cancer and coronary heart diseases are attributed either to heritable factors or to environmental factors or to both. Dissecting the genetic and environmental etiology of complex traits thus requires an interdisciplinary research strategy. Genetic studies generally involve families and inve...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章,评审


    authors: Zhao LP,Hsu L,Davidov O,Potter J,Elston RC,Prentice RL

    更新日期:1997-01-01 00:00:00

  • A Bayesian integrative genomic model for pathway analysis of complex traits.

    abstract::With new technologies, multiple types of genomic data are commonly collected on a single set of samples. However, standard analysis methods concentrate on a single data type at a time and ignore the relationships between genes, proteins, and biochemical reactions that give rise to complex phenotypes. In this paper, we...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Fridley BL,Lund S,Jenkins GD,Wang L

    更新日期:2012-05-01 00:00:00

  • Genetic and environmental causes of variation in renal tubular handling of sodium and potassium: a twin study.

    abstract::We have conducted a study of renal sodium and potassium reabsorption in 205 pairs of twins on freely chosen diets; 89 of the subjects were studied on more than one occasion. Renal tubular sodium and potassium handling, as measured by the fractional excretions FENa and FEK, show repeatable differences between individua...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Whitfield JB,Martin NG

    更新日期:1985-01-01 00:00:00

  • An efficient study design to test parent-of-origin effects in family trios.

    abstract::Increasing evidence has shown that genes may cause prenatal, neonatal, and pediatric diseases depending on their parental origins. Statistical models that incorporate parent-of-origin effects (POEs) can improve the power of detecting disease-associated genes and help explain the missing heritability of diseases. In ma...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Yu X,Chen G,Feng R

    更新日期:2017-11-01 00:00:00

  • A hybrid design: case-parent triads supplemented by control-mother dyads.

    abstract::Hybrid designs arose from an effort to combine the benefits of family-based and population-based study designs. A recently proposed hybrid approach augments case-parent triads with population-based control-parent triads, genotyping everyone except the control offspring. Including parents of controls substantially impr...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Vermeulen SH,Shi M,Weinberg CR,Umbach DM

    更新日期:2009-02-01 00:00:00

  • Genetic background comparison using distance-based regression, with applications in population stratification evaluation and adjustment.

    abstract::Population stratification (PS) can lead to an inflated rate of false-positive findings in genome-wide association studies (GWAS). The commonly used approach of adjustment for a fixed number of principal components (PCs) could have a deleterious impact on power when selected PCs are equally distributed in cases and con...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Li Q,Wacholder S,Hunter DJ,Hoover RN,Chanock S,Thomas G,Yu K

    更新日期:2009-07-01 00:00:00

  • Genotyping errors, pedigree errors, and missing data.

    abstract::Our group studied the effects of genotyping errors, pedigree errors, and missing data on a wide range of techniques, with a focus on the role of single-nucleotide polymorphisms (SNPs). Half of our group used simulated data, and half of our group used data from the Collaborative Study on the Genetics of Alcoholism (COG...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Hinrichs AL,Suarez BK

    更新日期:2005-01-01 00:00:00

  • A computationally efficient hypothesis testing method for epistasis analysis using multifactor dimensionality reduction.

    abstract::Multifactor dimensionality reduction (MDR) was developed as a nonparametric and model-free data mining method for detecting, characterizing, and interpreting epistasis in the absence of significant main effects in genetic and epidemiologic studies of complex traits such as disease susceptibility. The goal of MDR is to...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Pattin KA,White BC,Barney N,Gui J,Nelson HH,Kelsey KT,Andrew AS,Karagas MR,Moore JH

    更新日期:2009-01-01 00:00:00

  • National database of familial cancer in Sweden.

    abstract::A family cancer database was constructed from the nationwide Swedish registries and includes approximately 6 million persons and >30,000 cancers in offspring diagnosed at ages 15-51 years and their parents. A particular advantage of the database is that the contribution of both parental lineages on cancer risk can be ...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Hemminki K,Vaittinen P

    更新日期:1998-01-01 00:00:00

  • Estimating the power of variance component linkage analysis in large pedigrees.

    abstract::Variance component linkage analysis is commonly used to map quantitative trait loci (QTLs) in general pedigrees. Large pedigrees are especially attractive for these studies because they provide greater power per genotyped individual than small pedigrees. We propose accurate and computationally efficient methods to cal...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Chen WM,Abecasis GR

    更新日期:2006-09-01 00:00:00

  • Fitting ACE structural equation models to case-control family data.

    abstract::Investigators interested in whether a disease aggregates in families often collect case-control family data, which consist of disease status and covariate information for members of families selected via case or control probands. Here, we focus on the use of case-control family data to investigate the relative contrib...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Javaras KN,Hudson JI,Laird NM

    更新日期:2010-04-01 00:00:00

  • A multimarker regression-based test of linkage for affected sib-pairs at two linked loci.

    abstract::We address the analytical problem of evaluating the evidence for linkage at a test locus while taking into account the effect of a known linked disease locus. The method we propose is a multimarker regression approach that models the identity-by-descent states for affected sib-pairs at a series of linked markers in te...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Barber MJ,Todd JA,Cordell HJ

    更新日期:2006-04-01 00:00:00

  • Regressive logistic and proportional hazards disease models for within-family analyses of measured genotypes, with application to a CYP17 polymorphism and breast cancer.

    abstract::Various statistical methods have been proposed to evaluate associations between measured genetic variants and disease, including some using family designs. For breast cancer and rare variants, we applied a modified segregation analysis method that uses the population cancer incidence and population-based case families...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Cui JS,Spurdle AB,Southey MC,Dite GS,Venter DJ,McCredie MR,Giles GG,Chenevix-Trench G,Hopper JL

    更新日期:2003-04-01 00:00:00

  • Testing untyped alleles (TUNA)-applications to genome-wide association studies.

    abstract::The large number of tests performed in analyzing data from genome-wide association studies has a large impact on the power of detecting risk variants, and analytic strategies specifying the optimal set of hypotheses to be tested are necessary. We propose a genome-wide strategy that is based on one degree of freedom te...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Nicolae DL

    更新日期:2006-12-01 00:00:00

  • Optimizing the power of genome-wide association studies by using publicly available reference samples to expand the control group.

    abstract::Genome-wide association (GWA) studies have proved extremely successful in identifying novel genetic loci contributing effects to complex human diseases. In doing so, they have highlighted the fact that many potential loci of modest effect remain undetected, partly due to the need for samples consisting of many thousan...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Zhuang JJ,Zondervan K,Nyberg F,Harbron C,Jawaid A,Cardon LR,Barratt BJ,Morris AP

    更新日期:2010-05-01 00:00:00

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

    abstract::A computer-simulation method is presented for determining and correcting for the effect of maximizing the lod score over disease definitions, penetrance values, and perhaps other model parameters. The method consists of simulating the complete analysis using marker genotypes randomly generated under the assumption of ...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Weeks DE,Lehner T,Squires-Wheeler E,Kaufmann C,Ott J

    更新日期:1990-01-01 00:00:00

  • Permutation-based adjustments for the significance of partial regression coefficients in microarray data analysis.

    abstract::The aim of this paper is to generalize permutation methods for multiple testing adjustment of significant partial regression coefficients in a linear regression model used for microarray data. Using a permutation method outlined by Anderson and Legendre [1999] and the permutation P-value adjustment from Simon et al. [...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Wagner BD,Zerbe GO,Mexal S,Leonard SS

    更新日期:2008-01-01 00:00:00

  • Mapping alcoholism genes using linkage/linkage disequilibrium analysis.

    abstract::Using a recently developed semiparametric method for combined linkage/linkage-disequilibrium analysis, we analyzed the Collaborative Study on the Genetics of Alcoholism data subset developed for Genetic Analysis Workshop 11 (GAW11). This semiparametric approach estimates recombination fractions for linkage, marker log...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Aragaki C,Quiaoit F,Hsu L,Zhao LP

    更新日期:1999-01-01 00:00:00

  • Bayesian variable and model selection methods for genetic association studies.

    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


    authors: Fridley BL

    更新日期:2009-01-01 00:00:00

  • Univariate analysis of dichotomous or ordinal data from twin pairs: a simulation study comparing structural equation modeling and logistic regression.

    abstract::The univariate analysis of categorical twin data can be performed using either structural equation modeling (SEM) or logistic regression. This paper presents a comparison between these two methods using a simulation study. Dichotomous and ordinal (three category) twin data are simulated under two different sample size...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Ramakrishnan V,Meyer JM,Goldberg J,Henderson WG

    更新日期:1996-01-01 00:00:00

  • Estimating gene penetrance from family data.

    abstract::Family data are useful for estimating disease risk in carriers of specific genotypes of a given gene (penetrance). Penetrance is frequently estimated assuming that relatives' phenotypes are independent, given their genotypes for the gene of interest. This assumption is unrealistic when multiple shared risk factors con...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Gong G,Hannon N,Whittemore AS

    更新日期:2010-05-01 00:00:00

  • Hierarchical Bayesian model for rare variant association analysis integrating genotype uncertainty in human sequence data.

    abstract::Next-generation sequencing (NGS) has led to the study of rare genetic variants, which possibly explain the missing heritability for complex diseases. Most existing methods for rare variant (RV) association detection do not account for the common presence of sequencing errors in NGS data. The errors can largely affect ...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: He L,Pitkäniemi J,Sarin AP,Salomaa V,Sillanpää MJ,Ripatti S

    更新日期:2015-02-01 00:00:00

  • Optimized selection of unrelated subjects for whole-genome sequencing studies of rare high-penetrance alleles.

    abstract::Sequencing studies using whole-genome or exome scans are still more expensive than genome-wide association studies on a per-subject basis. As a result, only a subset of subjects from a larger study will be selected for sequencing. To perform an agnostic investigation of the entire genome, subjects may be selected that...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Edwards TL,Li C

    更新日期:2012-07-01 00:00:00

  • Joint analysis of multiple phenotypes using a clustering linear combination method based on hierarchical clustering.

    abstract::Emerging evidence suggests that a genetic variant can affect multiple phenotypes, especially in complex human diseases. Therefore, joint analysis of multiple phenotypes may offer new insights into disease etiology. Recently, many statistical methods have been developed for joint analysis of multiple phenotypes, includ...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Li X,Zhang S,Sha Q

    更新日期:2020-01-01 00:00:00

  • The inheritance of pyloric stenosis explained by a multifactorial threshold model with sex dimorphism for liability.

    abstract::The inheritance of pyloric stenosis is explained by a multifactorial threshold model with an underlying assumption that the liability for the disease is distributed in males and females showing a sex dimorphism. From the available data on familial occurrences of pyloric stenosis, it is shown, that an extra maternal ef...

    journal_title:Genetic epidemiology

    pub_type: 杂志文章


    authors: Chakraborty R

    更新日期:1986-01-01 00:00:00