Effect of linkage disequilibrium between markers in linkage and association analyses.

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：:Standard linear regression is commonly used for genetic association studies of quantitative traits. This approach may not be appropriate if the trait, on its original or transformed scales, does not follow a normal distribution. A rank-based nonparametric approach that does not rely on any distributional assumptions c...

journal_title：Genetic epidemiology

authors： Li Q,Li Z,Zheng G,Gao G,Yu K

更新日期：2013-05-01 00:00:00

abstract：:A highly significant familial aggregation of eosinophil levels (X2(3) = 38.00) was detected in a sample from three Brazilian populations with a high incidence of helminthic parasitism. The data were unable to resolve genetic or common environment causation due to the lack of environmental concomitant variables. Result...

journal_title：Genetic epidemiology

authors： Moro-Furlani AM,Krieger H

更新日期：1992-01-01 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：:The present findings for familial Alzheimer's disease suggest a possible linkage to gene(s) on chromosome 21 for the early onset form and to chromosome 19 for the late onset. Since these results are not unequivocal, possible alternative hypotheses include the effect of genetic heterogeneity or of an oligogenic model o...

journal_title：Genetic epidemiology

authors： Macciardi F,Cavallini MC

更新日期：1993-01-01 00:00:00

abstract：:Linkage analysis of complex traits has had limited success in identifying trait-influencing loci. Recently, coding variants have been implicated as the basis for some biomedical associations. We tested whether coding variants are the basis for linkage peaks of complex traits in 42 African-American (n = 596) and 90 His...

journal_title：Genetic epidemiology

authors： Hellwege JN,Palmer ND,Raffield LM,Ng MC,Hawkins GA,Long J,Lorenzo C,Norris JM,Ida Chen YD,Speliotes EK,Rotter JI,Langefeld CD,Wagenknecht LE,Bowden DW

更新日期：2014-05-01 00:00:00

abstract：:We examined the power of the stepwise iterated generalized least squares (GLS) method by modeling the relationship between quantitative traits and other variables using the simulated data for Problem 2A. The comparison between the generating model provided by the workshop and the results of the stepwise iterated GLS m...

journal_title：Genetic epidemiology

authors： He Q,Nemesure BB,Mendell NR

更新日期：1997-01-01 00:00:00

abstract：:In this paper, we proposed a multipoint method to assess evidence of linkage to one region by incorporating linkage evidence from another region. This approach uses affected sib pairs in which the number of alleles shared identical by descent (IBD) is the primary statistic. This generalized estimating equation (GEE) a...

journal_title：Genetic epidemiology

authors： Liang KY,Chiu YF,Beaty TH,Wjst M

更新日期：2001-09-01 00:00:00

abstract：:In the past decade, many genome-wide association studies (GWASs) have been conducted to explore association of single nucleotide polymorphisms (SNPs) with complex diseases using a case-control design. These GWASs not only collect information on the disease status (primary phenotype, D) and the SNPs (genotypes, X), but...

journal_title：Genetic epidemiology

authors： Ray D,Basu S

更新日期：2017-07-01 00:00:00

abstract：:When testing for genetic effects, failure to account for a gene-environment interaction can mask the true association effects of a genetic marker with disease. Family-based association tests are popular because they are completely robust to population substructure and model misspecification. However, when testing for ...

journal_title：Genetic epidemiology

authors： Hoffmann TJ,Lange C,Vansteelandt S,Laird NM

更新日期：2009-12-01 00:00:00

abstract：:We construct data exploration tools for recognizing important covariate patterns associated with a phenotype, with particular focus on searching for association with gene-gene patterns. To this end, we propose a new variable selection procedure that employs latent selection weights and compare it to an alternative for...

journal_title：Genetic epidemiology

authors： Papathomas M,Molitor J,Hoggart C,Hastie D,Richardson S

更新日期：2012-09-01 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：: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：: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

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：: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：: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：: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

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

更新日期：1990-01-01 00:00:00

abstract：:Genetic epidemiology is a relatively new discipline that seeks to unravel the role of genetic factors and their interactions with environmental factors in the etiology of diseases, using population and family study approaches. To characterize the overall direction and emphasis of research strategies used in this field...

journal_title：Genetic epidemiology

authors： Khoury MJ,Beaty TH,Cohen BH

更新日期：1993-01-01 00:00:00

abstract：:We contrast the pooling of multiple data sets with the compound HLOD (HLOD-C) and the posterior probability of linkage (PPL), two approaches that have been shown to have more power in the presence of genetic heterogeneity. We also propose and evaluate several multipoint extensions. ...

journal_title：Genetic epidemiology

authors： Van Eerdewegh P,Dowd M,Dupuis J,Falls K,Hayward B,Santangelo SL

更新日期：2001-01-01 00:00:00

abstract：:The recent successes of genome-wide association studies (GWAS) have renewed interest in genome environment wide interaction studies (GEWIS) to discover genetic factors that modulate penetrance of environmental exposures to human diseases. Indeed, gene-environment interactions (G × E), which have not been emphasized in...

journal_title：Genetic epidemiology

authors： Zhao LP,Fan W,Goodman G,Radich J,Martin P

更新日期：2015-07-01 00:00:00

abstract：:Polygenic risk scores (PRSs) are a method to summarize the additive trait variance captured by a set of SNPs, and can increase the power of set-based analyses by leveraging public genome-wide association study (GWAS) datasets. PRS aims to assess the genetic liability to some phenotype on the basis of polygenic risk fo...

journal_title：Genetic epidemiology

authors： Baker E,Schmidt KM,Sims R,O'Donovan MC,Williams J,Holmans P,Escott-Price V,Consortium WTG

更新日期：2018-06-01 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：:In spite of the success of genome-wide association studies in finding many common variants associated with disease, these variants seem to explain only a small proportion of the estimated heritability. Data collection has turned toward exome and whole genome sequencing, but it is well known that single marker methods ...

journal_title：Genetic epidemiology

authors： Ayers KL,Cordell HJ

更新日期：2013-09-01 00:00:00

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

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

更新日期：2015-02-01 00:00:00

abstract：:Genome-wide association studies (GWAS) are a powerful tool for understanding the genetic basis of diseases and traits, but most studies have been conducted in isolation, with a focus on either a single or a set of closely related phenotypes. We describe MetABF, a simple Bayesian framework for performing integrative me...

journal_title：Genetic epidemiology

authors： Trochet H,Pirinen M,Band G,Jostins L,McVean G,Spencer CCA

更新日期：2019-07-01 00:00:00

abstract：:Penalized regression methods offer an attractive alternative to single marker testing in genetic association analysis. Penalized regression methods shrink down to zero the coefficient of markers that have little apparent effect on the trait of interest, resulting in a parsimonious subset of what we hope are true perti...

journal_title：Genetic epidemiology

authors： Ayers KL,Cordell HJ

更新日期：2010-12-01 00:00:00

abstract：:A major locus that determines levels of apolipoprotein B (apoB) was revealed by likelihood analysis on 331 members of 36 pedigrees. The major locus explained 43.2% of the observed variance, with the remainder attributed to random environmental factors. Estimated mean apoB levels (mg/dl) were 110.5 +/- 2.5, 141.9 +/- 4...

journal_title：Genetic epidemiology

authors： Hasstedt SJ,Wu L,Williams RR

更新日期：1987-01-01 00:00:00

abstract：:High-throughput sequencing technologies have enabled large-scale studies of the role of the human microbiome in health conditions and diseases. Microbial community level association test, as a critical step to establish the connection between overall microbiome composition and an outcome of interest, has now been rout...

journal_title：Genetic epidemiology

authors： Zhan X,Tong X,Zhao N,Maity A,Wu MC,Chen J

更新日期：2017-04-01 00:00:00

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

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