Multifactorial disease risk calculator: Risk prediction for multifactorial disease pedigrees.

abstract：:Multipoint linkage analysis using sibpair designs remains a common approach to help investigators to narrow chromosomal regions for traits (either qualitative or quantitative) of interest. Despite its popularity, the success of this approach depends heavily on how issues such as genetic heterogeneity, gene-gene, and g...

journal_title：Genetic epidemiology

authors： Chiou JM,Liang KY,Chiu YF

更新日期：2005-01-01 00:00:00

abstract：:Grade of membership analysis (GoM) may have particular relevance for genetic epidemiology. The method can flexibly relate genetic markers, clinical features, and environmental exposures to possible subtypes of disease termed pure types even when population allele frequencies and penetrance functions are not known. Hen...

journal_title：Genetic epidemiology

authors： Corder EH,Woodbury MA

更新日期：1993-01-01 00:00:00

abstract：:We propose a new approach to detect gene × gene joint action in genome-wide association studies (GWASs) for case-control designs. This approach offers an exhaustive search for all two-way joint action (including, as a special case, single gene action) that is computationally feasible at the genome-wide level and has r...

journal_title：Genetic epidemiology

authors： Won S,Kwon MS,Mattheisen M,Park S,Park C,Kihara D,Cichon S,Ophoff R,Nöthen MM,Rietschel M,Baur M,Uitterlinden AG,Hofmann A,GROUP Investigators.,Lange C

更新日期：2014-01-01 00:00:00

abstract：:HLA-A, -B, -C, -DR, and -DQ typings of the Schmiedeleut Hutterites of South Dakota were collected as part of an ongoing genetic-epidemiologic study of HLA and fertility. A total of 1,082 individuals, including 852 married adults representative of the reproductive population of this isolate, were characterized for five...

journal_title：Genetic epidemiology

authors： Dawson DV,Ober C,Kostyu DD

更新日期：1995-01-01 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

authors： Begum F,Sharker MH,Sherman SL,Tseng GC,Feingold E

更新日期：2016-02-01 00:00:00

abstract：:Over the past few years, an increasing number of studies have identified rare variants that contribute to trait heritability. Due to the extreme rarity of some individual variants, gene-based association tests have been proposed to aggregate the genetic variants within a gene, pathway, or specific genomic region as op...

journal_title：Genetic epidemiology

authors： He Z,Lee S,Zhang M,Smith JA,Guo X,Palmas W,Kardia SLR,Ionita-Laza I,Mukherjee B

更新日期：2017-12-01 00:00:00

abstract：:Several approaches were taken to identify the loci contributing to the quantitative and qualitative phenotypes in the Genetic Analysis Workshop 12 simulated data set. To identify possible quantitative trait loci (QTL), the quantitative traits were analyzed using SOLAR. The four replicates identified as the "best repli...

journal_title：Genetic epidemiology

authors： Pankratz N,Kirkwood SC,Flury L,Koller DL,Foroud T

更新日期：2001-01-01 00:00:00

abstract：:The use of patterned covariance matrices in forming pedigree-based mixed models for quantitative traits is discussed. It is suggested that patterned covariance matrix models provide intuitive, theoretically appealing, and flexible genetic modeling devices for pedigree data. It is suggested further that the very great ...

journal_title：Genetic epidemiology

authors： Schork N

更新日期：1991-01-01 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：:GAW10 Problem 2 involves a simulated common disease defined by imposing a threshold, T, on a quantitative trait, Q1. Every individual with a value of Q1 > or = T (where T = 40) is defined as affected. Also thought to be associated with the disease as intervening variables are four other quantitative traits (Q2, Q3, Q4...

journal_title：Genetic epidemiology

authors： MacCluer JW,Blangero J,Dyer TD,Speer MC

更新日期：1997-01-01 00:00:00

abstract：:Although next-generation DNA sequencing technologies have made rare variant association studies feasible and affordable, the development of powerful statistical methods for rare variant association studies is still under way. Most of the existing methods for rare variant association studies compare the number of rare ...

journal_title：Genetic epidemiology

authors： Fang S,Sha Q,Zhang S

更新日期：2012-07-01 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：:Over the past few years at least 13 transmission/disequilibrium test (TDT)-based tests have been developed for quantitative (Q) traits for the assessment of association or linkage in the presence of the other. A total of six of these QTDT methods were used to analyze log10IgE in the Collaborative Study on the Genetics...

journal_title：Genetic epidemiology

authors： Page GP,Wilcox MA,Occhiuto J,Adak S,Neuberg D,Bajorunaite R,George V

更新日期：2001-01-01 00:00:00

abstract：:The Framingham Heart Study data, as well as a related simulated data set, were generously provided to the participants of the Genetic Analysis Workshop 13 in order that newly developed and emerging statistical methodologies could be tested on that well-characterized data set. The impetus driving the development of nov...

journal_title：Genetic epidemiology

authors： Costello TJ,Falk CT,Ye KQ

更新日期：2003-01-01 00:00:00

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

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

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

authors： Schaid DJ,McDonnell SK,Carlson EE,Thibodeau SN,Ostrander EA,Stanford JL

更新日期：2007-07-01 00:00:00

abstract：:We present a range of modelling components designed to facilitate Bayesian analysis of genetic-association-study data. A key feature of our approach is the ability to combine different submodels together, almost arbitrarily, for dealing with the complexities of real data. In particular, we propose various techniques f...

journal_title：Genetic epidemiology

authors： Lunn DJ,Whittaker JC,Best N

更新日期：2006-04-01 00:00:00

abstract：:We describe an extension to the TDT (transmission/disequilibrium test) which allows for more than two marker alleles and for covariates measured on the parent or offspring. We also describe a systematic genomic search where the mod score (maximized lod score) is computed for each marker under constraints on the popula...

journal_title：Genetic epidemiology

authors： Rice JP,Neuman RJ,Hoshaw SL,Daw EW,Gu C

更新日期：1995-01-01 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：:In an earlier paper, positive but nonsignificant lod scores were found in pair-wise linkage tests between multiple endocrine neoplasia type 2A (MEN-2A) and both the haptoglobin (HP) locus on chromosome 16 and group-specific component (GC) locus on chromosome 4. Recently discovered restriction fragment length polymorph...

journal_title：Genetic epidemiology

authors： Kidd KK,Kidd JR,Castiglione CM,Pakstis AJ,Sparkes RS

更新日期：1986-01-01 00:00:00

abstract：:In this paper we investigate the power to identify gene x gene interactions in genome-wide association studies. In our analysis we focus on two-stage analyses: analyses in which we only test for interactions between single nucleotide polymorphisms that show some marginal effect. We give two algorithms to compute signi...

journal_title：Genetic epidemiology

authors： Kooperberg C,Leblanc M

更新日期：2008-04-01 00:00:00

abstract：:It is possible to estimate the proportionate contributions of ancestral populations to admixed individuals or populations using genetic markers, but different loci and alleles vary considerably in the amount of information that they provide. Conventionally, the allele frequency difference between parental populations ...

journal_title：Genetic epidemiology

authors： Pfaff CL,Barnholtz-Sloan J,Wagner JK,Long JC

更新日期：2004-05-01 00:00:00

abstract：:DNA methylation is an important epigenetic mechanism that has been linked to complex diseases and is of great interest to researchers as a potential link between genome, environment, and disease. As the scale of DNA methylation association studies approaches that of genome-wide association studies, issues such as popu...

journal_title：Genetic epidemiology

authors： Barfield RT,Almli LM,Kilaru V,Smith AK,Mercer KB,Duncan R,Klengel T,Mehta D,Binder EB,Epstein MP,Ressler KJ,Conneely KN

更新日期：2014-04-01 00:00:00

abstract：:Jewish women have been reported to have a higher risk for familial breast cancer than non-Jewish women and to be more likely to carry mutations in breast cancer genes such as BRCA1. Because BRCA1 mutations also increase women's risk for ovarian cancer, we asked whether Jewish women are at higher risk for familial ovar...

journal_title：Genetic epidemiology

authors： Steinberg KK,Pernarelli JM,Marcus M,Khoury MJ,Schildkraut JM,Marchbanks PA

更新日期：1998-01-01 00:00:00

abstract：:Genome-wide association studies of discrete traits generally use simple methods of analysis based on chi(2) tests for contingency tables or logistic regression, at least for an initial scan of the entire genome. Nevertheless, more power might be obtained by using various methods that analyze multiple markers in combin...

journal_title：Genetic epidemiology

authors： Thomas DC

更新日期：2009-01-01 00:00:00

abstract：:The transmission disequilibrium test (TDT), originally developed for mapping disease genes, has recently been extended to identify quantitative trait loci (QTL). For quantitative traits important for human health, generally multiple QTLs are involved. In the investigation of the statistical properties of the TDT, back...

journal_title：Genetic epidemiology

authors： Deng HW,Li J,Recker RR

更新日期：2001-11-01 00:00:00

abstract：:Power estimations are important for optimizing genotype-phenotype association study designs. However, existing frameworks are designed for common disorders, and thus ill-suited for the inherent challenges of studies for low-prevalence conditions such as rare diseases and infrequent adverse drug reactions. These challe...

journal_title：Genetic epidemiology

authors： Mak L,Li M,Cao C,Gordon P,Tarailo-Graovac M,Bousman C,Wang P,Long Q

更新日期：2018-07-01 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 study of the genetic component of early-onset diseases requires investigation into parental genetic effects, particularly those mediated by the mother who can influence the offspring's risk of disease through the effects of her genes acting directly on the intrauterine milieu or indirectly through maternal-gene ch...

journal_title：Genetic epidemiology

authors： Bourgey M,Healy J,Saint-Onge P,Massé H,Sinnett D,Roy-Gagnon MH

更新日期：2011-09-01 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