Analysis of multiple phenotypes.

abstract：:Meta-analysis has been little explored to make an overall assessment of linkage from different studies. In practice, it is likely that published linkage studies will only report p-values. We compared the performance of the widely used Fisher method for combining p-values with that of pooling raw data. More loci were c...

journal_title：Genetic epidemiology

authors： Guerra R,Etzel CJ,Goldstein DR,Sain SR

更新日期：1999-01-01 00:00:00

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

authors： Gong G,Hannon N,Whittemore AS

更新日期：2010-05-01 00:00:00

abstract：:Mapping of the human genome has the potential to transform the traditional methods of genetic epidemiology. The complete draft sequence of the 3.3 billion nucleotides comprising the genome is now available over the Internet, including the location and nearly complete sequence of the 26,000 to 31,000 protein-encoding g...

journal_title：Genetic epidemiology

authors： Sellers TA,Yates JR

更新日期：2003-02-01 00:00:00

abstract：:We propose methods to construct meiotic gene maps while controlling the probability of a decision-error. First, a single step gene ordering procedure is presented whose decision-error probability is bounded above by a prespecified threshold. The bound for the error probability is valid under quite general circumstance...

journal_title：Genetic epidemiology

authors： Rogatko A,Babb J,Jordan H,Zacks S

更新日期：1999-01-01 00:00:00

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

authors： Javaras KN,Hudson JI,Laird NM

更新日期：2010-04-01 00:00:00

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

authors： Li X,Zhang S,Sha Q

更新日期：2020-01-01 00:00:00

abstract：:For the association analysis of whole-genome sequencing (WGS) studies, we propose an efficient and fast spatial-clustering algorithm. Compared to existing analysis approaches for WGS data, that define the tested regions either by sliding or consecutive windows of fixed sizes along variants, a meaningful grouping of ne...

journal_title：Genetic epidemiology

authors： Loehlein Fier H,Prokopenko D,Hecker J,Cho MH,Silverman EK,Weiss ST,Tanzi RE,Lange C

更新日期：2017-05-01 00:00:00

abstract：:We have analyzed allele frequency distribution at the hypervariable locus 3' to the apolipoprotein B gene in a healthy population sample (241 women and 246 men) from the Belgrade area. The bimodal distribution of sixteen different hypervariable region (HVR) alleles and the heterozygosity index (average 0.76) in both s...

journal_title：Genetic epidemiology

authors： Alavantić D,Glisić S,Kandić I

更新日期：1998-01-01 00:00:00

abstract：:Unaffected individuals are often disregarded in nonparametric linkage analysis. Because of the presumed high complexity of genetic interactions and the resulting low penetrance of any single genetic effect, the statistical contribution of unaffected sib pairs is thought to be considerably lower than that of the affect...

journal_title：Genetic epidemiology

authors： Majewski J

更新日期：2001-01-01 00:00:00

abstract：:Cancer has predominant environmental and somatic causes but the assessment of hereditary (genetic) causes is difficult, except for highly penetrant single-gene causes. Family studies are only partially informative in this regard because family members share diet and life-styles. Twin studies have been classically used...

journal_title：Genetic epidemiology

authors： Hemminki K,Lönnstedt I,Vaittinen P,Lichtenstein P

更新日期：2001-01-01 00:00:00

abstract：:We investigate the relevance of the genetic determination of bone mineral density (BMD) variation to that of differential risk to osteoporotic fractures (OF). The high heritability (h(2)) of BMD and the significant phenotypic correlations between high BMD and low risk to OF are well known. Little is reported on h(2) f...

journal_title：Genetic epidemiology

authors： Deng HW,Mahaney MC,Williams JT,Li J,Conway T,Davies KM,Li JL,Deng H,Recker RR

更新日期：2002-01-01 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

authors： Fridley BL

更新日期：2009-01-01 00:00:00

abstract：:The multiplicity problem has become increasingly important in genetic studies as the capacity for high-throughput genotyping has increased. The control of False Discovery Rate (FDR) (Benjamini and Hochberg. [1995] J. R. Stat. Soc. Ser. B 57:289-300) has been adopted to address the problems of false positive control an...

journal_title：Genetic epidemiology

authors： Sun L,Craiu RV,Paterson AD,Bull SB

更新日期：2006-09-01 00:00:00

abstract：:Atopic disease is generally recognized to be familial, although specific genetic components have yet to be identified. High levels of a unique class of immunoglobulins, immunoglobulin E (IgE), have been shown to be associated with allergies. Several investigators have reported evidence indicating a recessive regulator...

journal_title：Genetic epidemiology

authors： Borecki IB,Rao DC,Lalouel JM,McGue M,Gerrard JW

更新日期：1985-01-01 00:00:00

abstract：:A robust approach for estimating standard errors of variance components by using quantitative phenotypes from families ascertained through a proband with an extreme phenotypic value is presented. Estimators that use the multivariate normal distribution as a "working likelihood" are obtained by computing conditional ln...

journal_title：Genetic epidemiology

authors： Beaty TH,Liang KY

更新日期：1987-01-01 00:00:00

abstract：:We combined the five chromosome 18 bipolar affective disorder data sets provided by GAW10, totaling 185 families with 3,394 individuals, and performed analysis of differential parental transmission and chromosome 18 marker allele sharing in families with transmission through fathers vs those through mothers. Results i...

journal_title：Genetic epidemiology

authors： Lin JP,Bale SJ

更新日期：1997-01-01 00:00:00

abstract：:Previous transcriptome-wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome-wide association studies (GWAS), but analyses of breast cancer subtype-specific associations have been limited. In this study, we conducted a TWAS using gene ...

journal_title：Genetic epidemiology

authors： Feng H,Gusev A,Pasaniuc B,Wu L,Long J,Abu-Full Z,Aittomäki K,Andrulis IL,Anton-Culver H,Antoniou AC,Arason A,Arndt V,Aronson KJ,Arun BK,Asseryanis E,Auer PL,Azzollini J,Balmaña J,Barkardottir RB,Barnes DR,Barrowda

更新日期：2020-07-01 00:00:00

abstract：:Smalley et al. [(1992) Genet Epidemiol 9:333-345] found evidence of a mixture of two distributions in memory performance among offspring of patients with dementia of the Alzheimer type (DAT), suggesting that these groups reflect genotypic subgroups of carriers and non-carriers of a putative DAT gene. One prediction of...

journal_title：Genetic epidemiology

authors： Palmer CG,Wolkenstein BH,La Rue A,Swan GE,Smalley SL

更新日期：1994-01-01 00:00:00

abstract：:The heritability of most complex traits is driven by variants throughout the genome. Consequently, polygenic risk scores, which combine information on multiple variants genome-wide, have demonstrated improved accuracy in genetic risk prediction. We present a new two-step approach to constructing genome-wide polygenic ...

journal_title：Genetic epidemiology

authors： Newcombe PJ,Nelson CP,Samani NJ,Dudbridge F

更新日期：2019-10-01 00:00:00

abstract：:In the last two decades, complex traits have become the main focus of genetic studies. The hypothesis that both rare and common variants are associated with complex traits is increasingly being discussed. Family-based association studies using relatively large pedigrees are suitable for both rare and common variant id...

journal_title：Genetic epidemiology

authors： Saad M,Wijsman EM

更新日期：2014-11-01 00:00:00

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

authors： Norris JM,Selinger-Leneman H,Génin E

更新日期：2001-01-01 00:00:00

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

authors： Nicolae DL

更新日期：2006-12-01 00:00:00

abstract：:We used variance-components analysis to investigate the additive genetic effects regulating some of the phenotypes included in the GAW11 data set. Variance-components models were fitted using Gibbs sampling methods in BUGS v 0.6. Linkage analyses for both multivariate normal (MvN) traits and right censored survival ti...

journal_title：Genetic epidemiology

authors： Palmer LJ,Tiller KJ,Burton PR

更新日期：1999-01-01 00:00:00

abstract：:We analyzed the GAW11 data on alcoholism provided by the Collaborative Study on the Genetics of Alcoholism (COGA) using an extension of a new test of linkage and association for quantitative traits developed by George et al. [1999]. This method determines linkage between marker loci and quantitative traits, when allel...

journal_title：Genetic epidemiology

authors： Tiwari HK,Zhu X,Elston RC,Shu Y,George V

更新日期：1999-01-01 00:00:00

abstract：:The importance of haplotype analysis in the context of association fine mapping of disease genes has grown steadily over the last years. Since experimental methods to determine haplotypes on a large scale are not available, phase has to be inferred statistically. For individual genotype data, several reconstruction te...

journal_title：Genetic epidemiology

authors： Becker T,Knapp M

更新日期：2004-07-01 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

authors： Chien LC,Bowden DW,Chiu YF

更新日期：2017-09-01 00:00:00

abstract：:Asthma and atopy are two closely related, common complex traits in which a number of genetic and environmental factors are suspected to play a role. We have performed parametric and nonparametric multi-marker linkage analysis for the Busselton data set, which is part of problem 1 of Genetic Analysis Workshop 12. In pa...

journal_title：Genetic epidemiology

authors： Strauch K,Bogdanow M,Fimmers R,Baur MP,Wienker TF

更新日期：2001-01-01 00:00:00

abstract：:The etiology of complex traits likely involves the effects of genetic and environmental factors, along with complicated interaction effects between them. Consequently, there has been interest in applying genetic association tests of complex traits that account for potential modification of the genetic effect in the pr...

journal_title：Genetic epidemiology

authors： Broadaway KA,Duncan R,Conneely KN,Almli LM,Bradley B,Ressler KJ,Epstein MP

更新日期：2015-07-01 00:00:00

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 ...

journal_title：Genetic epidemiology

authors： Li W,Haghighi F,Falk CT

更新日期：1999-01-01 00:00:00

abstract：:Advances in high throughput technology have enabled the generation of unprecedented amounts of genomic data (e.g., next-generation sequence data, transcriptomics, metabolomics, and proteomics), which promises to unravel the genetic architecture of complex traits. These discoveries may lead to novel therapeutic targets...

journal_title：Genetic epidemiology

authors： Lee SM,Karrison TG,Cox NJ,Im HK

更新日期：2013-12-01 00:00:00