Linkage analysis of asthma and atopy including models with genomic imprinting.

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：:With challenges in data harmonization and environmental heterogeneity across various data sources, meta-analysis of gene-environment interaction studies can often involve subtle statistical issues. In this paper, we study the effect of environmental covariate heterogeneity (within and between cohorts) on two approache...

journal_title：Genetic epidemiology

authors： Li S,Mukherjee B,Taylor JM,Rice KM,Wen X,Rice JD,Stringham HM,Boehnke M

更新日期：2014-07-01 00:00:00

abstract：:High-throughput sequencing data can be used to predict phenotypes from genotypes, and this corresponds to establishing a prognostic model. In extended pedigrees the relatedness of subjects provides additional information so that genetic values, fixed or random genetic components, and heritability can be estimated. At ...

journal_title：Genetic epidemiology

authors： Ziegler A,Bohossian N,Diego VP,Yao C

更新日期：2014-09-01 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：: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：: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 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

authors： Whitfield JB,Martin NG

更新日期：1985-01-01 00:00:00

abstract：:In this study, we compare the statistical properties of a number of methods for estimating P-values for allele-sharing statistics in non-parametric linkage analysis. Some of the methods are based on the normality assumption, using different variance estimation methods, and others use simulation (gene-dropping) to find...

journal_title：Genetic epidemiology

authors： Jung J,Weeks DE,Feingold E

更新日期：2006-12-01 00:00:00

abstract：:A genetic epidemiologic investigation of breast cancer involving 389 breast cancer pedigrees including information on 14,721 individuals from the Icelandic population-based cancer registry is presented. Probands were women born in or after 1920 and reported to have breast cancer in the cancer registry. The average age...

journal_title：Genetic epidemiology

authors： Baffoe-Bonnie AB,Beaty TH,Bailey-Wilson JE,Kiemeney LA,Sigvaldason H,Olafsdóttir G,Tryggvadóttir L,Tulinius H

更新日期：2000-01-01 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：:As part of Genetic Analysis Workshop 17 (GAW17), our group considered the application of novel and standard approaches to the analysis of genotype-phenotype association in next-generation sequencing data. Our group identified a major issue in the analysis of the GAW17 next-generation sequencing data: type I error and ...

journal_title：Genetic epidemiology

authors： Tintle N,Aschard H,Hu I,Nock N,Wang H,Pugh E

更新日期：2011-01-01 00:00:00

abstract：:This paper describes a general genetic model which encompasses both autosomal and X-linked inheritance as submodels. It allows one to test for X-linked inheritance of a trait by comparing the likelihood of X-linked inheritance to the likelihood of the general genetic model. The general model is formulated as two loci,...

journal_title：Genetic epidemiology

authors： Hasstedt SJ,Skolnick M

更新日期：1984-01-01 00:00:00

abstract：:Large-scale meta-analyses of genome-wide association scans (GWAS) have been successful in discovering common risk variants with modest and small effects. The detection of lower frequency signals will undoubtedly require concerted efforts of at least similar scale. We investigate the sample size-dictated power limits o...

journal_title：Genetic epidemiology

authors： Chapman K,Ferreira T,Morris A,Asimit J,Zeggini E

更新日期：2011-12-01 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：:The mixed model of segregation analysis specifies major gene effects and partitions the residual variance into polygenic and environmental components. The model explains familial correlations essentially in terms of genetic causation. The regressive model, on the other hand, is constructed by successively conditioning...

journal_title：Genetic epidemiology

authors： Demenais FM,Bonney GE

更新日期：1989-01-01 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：: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：: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

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

更新日期：2009-02-01 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：:A range of study designs, using unrelated or family controls, were used to investigate the pattern of association with disease of single nucleotide polymorphisms (SNPs) within candidate gene 1 (simulated data). Strong evidence of disease association at the functional locus was detected using all study designs, and in ...

journal_title：Genetic epidemiology

authors： Saunders CL,Crockford GP,Bishop DT,Barrett JH

更新日期：2001-01-01 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：:Identifying gene-environment (G-E) interactions can contribute to a better understanding of disease etiology, which may help researchers develop disease prevention strategies and interventions. One big criticism of studying G-E interaction is the lack of power due to sample size. Studies often restrict the interaction...

journal_title：Genetic epidemiology

authors： Coombes B,Basu S,McGue M

更新日期：2017-07-01 00:00:00

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：:The role of a gene in a disease may be hidden by the presence of another risk factor such as an environmental factor. In that case, stratifying the data according to this factor strengthens power to detect linkage or association. We followed this strategy on the simulated data provided by GAW11. The transmission/diseq...

journal_title：Genetic epidemiology

authors： Eichenbaum-Voline S,Baur MP,Knapp M

更新日期：1999-01-01 00:00:00

abstract：:Recent studies have found an association between presence of apolipoprotein E (APOE) epsilon 4 allele and Alzheimer's disease (AD). The present study compared the cumulative risk of primary progressive dementia (PPD) in relatives of AD probands carrying at least one copy of the epsilon 4 allele with the relatives of A...

journal_title：Genetic epidemiology

authors： Li G,Silverman JM,Altstiel LD,Haroutunian V,Perl DP,Purohit D,Birstein S,Lantz M,Mohs RC,Davis KL

更新日期：1996-01-01 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：:Two analytic methods were used in the Problem 2 data set. First, generalized estimating equations (GEE) modelling was developed to adjust for familial correlation in regressions evaluating candidate genes and an environmental factor. Second, the affected-pedigree-member (APM) method was used to identify chromosomal re...

journal_title：Genetic epidemiology

authors： Bull SB,Chapman NH,Greenwood CM,Darlington GA

更新日期：1995-01-01 00:00:00

abstract：:The genotypes of individuals in replicate genetic association studies have some level of correlation due to shared descent in the complete pedigree of all living humans. As a result of this genealogical sharing, replicate studies that search for genotype-phenotype associations using linkage disequilibrium between mark...

journal_title：Genetic epidemiology

authors： Rosenberg NA,Vanliere JM

更新日期：2009-09-01 00:00:00

abstract：:A key aim for current genome-wide association studies (GWAS) is to interrogate the full spectrum of genetic variation underlying human traits, including rare variants, across populations. Deep whole-genome sequencing is the gold standard to fully capture genetic variation, but remains prohibitively expensive for large...

journal_title：Genetic epidemiology

authors： Quick C,Anugu P,Musani S,Weiss ST,Burchard EG,White MJ,Keys KL,Cucca F,Sidore C,Boehnke M,Fuchsberger C

更新日期：2020-09-01 00:00:00

abstract：:It is believed that interactions among genes (epistasis) may play an important role in susceptibility to common diseases (Moore and Williams [2002]. Ann Med 34:88-95; Ritchie et al. [2001]. Am J Hum Genet 69:138-147). To study the underlying genetic variants of diseases, genome-wide association studies (GWAS) that sim...

journal_title：Genetic epidemiology

authors： Jiang X,Barmada MM,Visweswaran S

更新日期：2010-09-01 00:00:00