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

abstract：:Association mapping for complex diseases using unrelated individuals can be more powerful than family-based analysis in many settings. In addition, this approach has major practical advantages, including greater efficiency in sample recruitment. Association mapping may lead to false-positive findings, however, if popu...

journal_title：Genetic epidemiology

authors： Zhu X,Zhang S,Zhao H,Cooper RS

更新日期：2002-08-01 00:00:00

abstract：:The 4 allele of apolipoprotein E (APOE) is associated with increased risk of two major causes of death in low-mortality populations: ischemic heart disease and Alzheimer's disease. It is less common among centenarians than at younger ages. Therefore, it is likely that it is associated with excess risk of death. This a...

journal_title：Genetic epidemiology

authors： Ewbank DC

更新日期：2002-02-01 00:00:00

abstract：:To evaluate the risk of a disease associated with the joint effects of genetic susceptibility and environmental exposures, epidemiologic researchers often test for non-multiplicative gene-environment effects from case-control studies. In this article, we present a comparative study of four alternative tests for intera...

journal_title：Genetic epidemiology

authors： Mukherjee B,Ahn J,Gruber SB,Rennert G,Moreno V,Chatterjee N

更新日期：2008-11-01 00:00:00

abstract：:Linkage disequilibrium mapping of quantitative traits is a powerful method for dissecting the genetic etiology of complex phenotypes. Quantitative traits, however, often exhibit characteristics that make their use problematic. For example, the distribution of the trait may be censored, highly skewed, or contaminated w...

journal_title：Genetic epidemiology

authors： Allen AS,Martin ER,Qin X,Li YJ

更新日期：2006-04-01 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：:The availability of high-density haplotype data has motivated several fine-scale linkage disequilibrium mapping methods for locating disease-causing mutations. These methods identify loci around which haplotypes of case chromosomes exhibit greater similarity than do those of control chromosomes. A difficulty arising i...

journal_title：Genetic epidemiology

authors： Yu K,Martin RB,Whittemore AS

更新日期：2004-11-01 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：:This paper presents a projection regression model (PRM) to assess the relationship between a multivariate phenotype and a set of covariates, such as a genetic marker, age, and gender. In the existing literature, a standard statistical approach to this problem is to fit a multivariate linear model to the multivariate p...

journal_title：Genetic epidemiology

authors： Lin JA,Zhu H,Knickmeyer R,Styner M,Gilmore J,Ibrahim JG

更新日期：2012-09-01 00:00:00

abstract：:A genome-wide correlation analysis and cluster analysis were utilized to determine chromosomal regions that had similar nonparametric linkage scores across families in order to locate interacting susceptibility loci for asthma. Conditional analysis was performed to detect any increase in lod score over baseline. Eight...

journal_title：Genetic epidemiology

authors： Colilla S,Tsalenko A,Pluznikov A,Cox NJ

更新日期：2001-01-01 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：: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

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

更新日期：1999-01-01 00:00:00

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：:Extensions of the approach to sib-pair linkage tests developed by Haseman and Elston [Behav Genet 2:3-19, 1972] are proposed which incorporate information on age of onset and age at examination. Alternate sources for the age of onset corrections are described, including models for the estimation of parameters associat...

journal_title：Genetic epidemiology

authors： Dawson DV,Kaplan EB,Elston RC

更新日期：1990-01-01 00:00:00

abstract：:Twin pairs are sometimes included in studies because at least one of them is a proband, and conventionally the analysis of the data is based on the conditional distribution of the co twin given the proband. In the case of more than one proband in each pair, an often used "ad hoc" method of analysis is to allow each tw...

journal_title：Genetic epidemiology

authors： Hindsberger C,Bryld LE

更新日期：2003-11-01 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：: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

authors： Seuchter SA,Knapp M,Hartung K,Coldewey R,Kalden JR,Lakomek HJ,Peter HH,Deicher H,Baur MP

更新日期：1991-01-01 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：:We set out to apply conventional analytic methods to a GAW data set of nuclear families with an oligogenic disease that has a population prevalence of 0.023. We chose methods generally applied to disorders with at least one major gene. Our approaches included: 1) complex segregation analysis under two models of ascert...

journal_title：Genetic epidemiology

authors： Falk CT,Ashley A,Lamb N,Sherman SL

更新日期：1995-01-01 00:00:00

abstract：:We have analyzed the GAW10 data from several studies of bipolar affective disorder (BPAD) using the software packages SimIBD and SIMWALK2. SimIBD implements a simulation-based affected-pedigree-member (APM) statistic, called SimAPM, as well as an APM-like statistic, also called SimIBD, that measures identical-by-desce...

journal_title：Genetic epidemiology

authors： Davis S,Sobel E,Marinov M,Weeks DE

更新日期：1997-01-01 00:00:00

abstract：:Genes, including those with transgenerational effects, work in concert with behavioral, environmental, and social factors via complex biological networks to determine human health. Understanding complex relationships between causal factors underlying human health is an essential step towards deciphering biological mec...

journal_title：Genetic epidemiology

authors： Lou XY,Hou TT,Liu SY,Xu HM,Lin F,Tang X,MacLeod SL,Cleves MA,Hobbs CA

更新日期：2020-09-30 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

authors： Cheng LS,Carmelli D,Hunt SC,Williams RR

更新日期：1997-01-01 00:00:00

abstract：:The purpose of this work is the development of linear trend tests that allow for error (LTT ae), specifically incorporating double-sampling information on phenotypes and/or genotypes. We use a likelihood framework. Misclassification errors are estimated via double sampling. Unbiased estimates of penetrances and genoty...

journal_title：Genetic epidemiology

authors： Gordon D,Haynes C,Yang Y,Kramer PL,Finch SJ

更新日期：2007-12-01 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

authors： Zhang Z,Zhang S,Wong MY,Wareham NJ,Sha Q

更新日期：2008-05-01 00:00:00

abstract：:Complex segregation analysis and linkage methods are mathematical techniques for the genetic dissection of complex diseases. They are used to delineate complex modes of familial transmission and to localize putative disease susceptibility loci to specific chromosomal locations. The computational problem of Bayesian li...

journal_title：Genetic epidemiology

authors： Matthysse S

更新日期：2000-01-01 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：:For most complex diseases, the fraction of heritability that can be explained by the variants discovered from genome-wide association studies is minor. Although the so-called "rare variants" (minor allele frequency [MAF] < 1%) have attracted increasing attention, they are unlikely to account for much of the "missing h...

journal_title：Genetic epidemiology

authors： Lin WY,Yi N,Lou XY,Zhi D,Zhang K,Gao G,Tiwari HK,Liu N

更新日期：2013-09-01 00:00:00

abstract：:Haplotype-sharing was examined in sets of affected siblings in the Breast Cancer Linkage Consortium pedigrees [Easton et al., 1993], using both identity-by-descent and identity-by-state methods. Linkage of the disease susceptibility locus to markers on chromosome 17 was confirmed. Substantial genetic heterogeneity was...

journal_title：Genetic epidemiology

authors： Barrett JH,Rigby AS

更新日期：1995-01-01 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：: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：:One approach to establish linkage is based on allele-sharing methods for sib pairs. Recently, the use of extreme sib pairs (ESP) has been proposed to increase power for mapping quantitative traits in humans. Several approaches have been discussed. In this study, we calculate sample sizes for the various ESP approaches...

journal_title：Genetic epidemiology

authors： Ziegler A,Hebebrand J

更新日期：1998-01-01 00:00:00