(Q44667186)

5 December 2017

title

Analysis of metabolic syndrome phenotypes in Framingham Heart Study families from Genetic Analysis Workshop 13. (English)

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5 December 2017

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4

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5 December 2017

9

Deborah Blacker

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5 December 2017

7

Kari E North

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5 December 2017

2

Nicola J Camp

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5 December 2017

Lynn R Goldin

1

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5 December 2017

Kevin J Keen

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5 December 2017

Roxana Moslehi

5

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5 December 2017

Saurabh Ghosh

6

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5 December 2017

Diego F Wyszynski

8

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5 December 2017

publication date

1 January 2003

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5 December 2017

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5 December 2017

volume

25 Suppl 1

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5 December 2017

page(s)

S78-89

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Development of the multiple metabolic syndrome: an epidemiologic perspective

5 December 2017

cites work

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Relationship between obesity, insulin resistance, and coronary heart disease risk

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A robust multipoint linkage statistic (tlod) for mapping complex trait loci

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A cautionary note on the appropriateness of using a linkage resource for an association study

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Multipoint quantitative-trait linkage analysis in general pedigrees

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7 January 2021

Human pedigree-based quantitative-trait-locus mapping: localization of two genes influencing HDL-cholesterol metabolism

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7 January 2021

Type 2 diabetes and metabolic syndrome in Filipina-American women : a high-risk nonobese population

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7 January 2021

Evidence for bivariate linkage of obesity and HDL-C levels in the Framingham Heart Study

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https://api.crossref.org/works/10.1002%2FGEPI.10288

7 January 2021

Genomewide linkage analysis of body mass index across 28 years of the Framingham Heart Study

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7 January 2021

Genomewide multipoint linkage analysis of seven extended Palauan pedigrees with schizophrenia, by a Markov-chain Monte Carlo method

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7 January 2021

Comparison of the linkage results of two phenotypic constructs from longitudinal data in the Framingham Heart Study: analyses on data measured at three time points and on the average of three measurements

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Robust genetic linkage analysis based on a score test of homogeneity: the weighted pairwise correlation statistic.

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Insulin resistance. A multifaceted syndrome responsible for NIDDM, obesity, hypertension, dyslipidemia, and atherosclerotic cardiovascular disease

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A genomewide linkage scan for quantitative-trait loci for obesity phenotypes

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7 January 2021

A variance component approach to dichotomous trait linkage analysis using a threshold model

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7 January 2021

Multivariate multipoint linkage analysis of quantitative trait loci

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7 January 2021

Comparison between two analytic strategies to detect linkage to obesity with genetically determined age of onset: the Framingham Heart Study

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7 January 2021

Insulin resistance and hypersecretion in obesity. European Group for the Study of Insulin Resistance (EGIR).

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7 January 2021

Genome scan for body mass index and height in the Framingham Heart Study

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7 January 2021

Integrating sibship data for mapping quantitative trait loci

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7 January 2021

Linkage mapping of total cholesterol level in a young cohort via nonparametric regression

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Linkage analysis in the presence of errors I: complex-valued recombination fractions and complex phenotypes

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7 January 2021

Analytic strategies to detect linkage to a common disorder with genetically determined age of onset: diabetes mellitus in Pima Indians

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7 January 2021

Comparison of linkage analysis methods for genome-wide scanning of extended pedigrees, with application to the TG/HDL-C ratio in the Framingham Heart Study

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Quantitative trait loci on chromosomes 3 and 17 influence phenotypes of the metabolic syndrome.

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7 January 2021

Allele-sharing models: LOD scores and accurate linkage tests

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7 January 2021

Metabolic syndrome and development of diabetes mellitus: application and validation of recently suggested definitions of the metabolic syndrome in a prospective cohort study

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7 January 2021

The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men

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7 January 2021

Construction of human linkage maps: likelihood calculations for multilocus linkage analysis.

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7 January 2021

Familial aggregation of components of the multiple metabolic syndrome in the Framingham Heart and Offspring Cohorts: Genetic Analysis Workshop Problem 1

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7 January 2021

Genome-wide linkage analysis using cross-sectional and longitudinal traits for body mass index in a subsample of the Framingham Heart Study

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7 January 2021

Familial components of the multiple metabolic syndrome: the ARIC study.

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7 January 2021

Genetic analysis of common factors underlying cardiovascular disease-related traits

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7 January 2021

Phenotypic, genetic, and genome-wide structure in the metabolic syndrome

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7 January 2021

A QTL genome scan of the metabolic syndrome and its component traits

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https://api.crossref.org/works/10.1002%2FGEPI.10288

7 January 2021

A genome-wide linkage scan for body mass index on Framingham Heart Study families

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.10288

7 January 2021

HDL cholesterol in females in the Framingham Heart Study is linked to a region of chromosome 2q.

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.10288

7 January 2021

The VITESSE algorithm for rapid exact multilocus linkage analysis via genotype set-recoding and fuzzy inheritance

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7 January 2021

Banting lecture 1988. Role of insulin resistance in human disease

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7 January 2021

Racial differences in the relation between blood pressure and insulin resistance

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7 January 2021

Structural equation model-based genome scan for the metabolic syndrome

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https://api.crossref.org/works/10.1002%2FGEPI.10288

7 January 2021

The genetics of cross-sectional and longitudinal body mass index

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https://api.crossref.org/works/10.1002%2FGEPI.10288

7 January 2021

A combined analysis of genomewide linkage scans for body mass index from the National Heart, Lung, and Blood Institute Family Blood Pressure Program

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.10288

7 January 2021

Search for genetic factors predisposing to atherogenic dyslipidemia

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.10288

7 January 2021

Identifiers

DOI

10.1002/GEPI.10288

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5 December 2017

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