๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Testing for association in SLE families

โœ Scribed by Susanne A. Seuchter; Michael Knapp; Klaus Hartung; Rolf Coldewey; Joachim R. Kalden; Heinz J. Lakomek; Hans H. Peter; Helmuth Deicher; Max P. Baur; G. P. Vogler


Publisher
John Wiley and Sons
Year
1991
Tongue
English
Weight
442 KB
Volume
8
Category
Article
ISSN
0741-0395

No coin nor oath required. For personal study only.

โœฆ Synopsis


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 other association studies a set of SLE patients is compared to a set of controls. The basic assumption about the underlying population is that the disease and control sample should originate from the same genetic population, which is not always completely satisfied in many studies. Therefore, we analyse our family data by applying the Haplotype Frequency Difference (HFD) Method, which constructs its internal control group from those haplotypes not transmitted to the affected individual. Results partially conform with other studies, showing that the haplotypes BS DR3 as well as B7 DR2 have a high positive association with SLE. When the DR locus was analyzed alone, we found besides the alleles DR2 and DR3 a negative association for DR 1, DR5, and DR6.


๐Ÿ“œ SIMILAR VOLUMES


Tests for genetic association using fami
โœ Mei-Chiung Shih; Alice S. Whittemore ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 102 KB ๐Ÿ‘ 1 views

We use likelihood-based score statistics to test for association between a disease and a diallelic polymorphism, based on data from arbitrary types of nuclear families. The Nonfounder statistic extends the transmission disequilibrium test (TDT) to accommodate affected and unaffected offspring, missi

Joint testing of genotype and ancestry a
โœ Hua Tang; David O. Siegmund; Nicholas A. Johnson; Isabelle Romieu; Stephanie J. ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 294 KB ๐Ÿ‘ 1 views

## Abstract Current genomeโ€wide association studies (GWAS) often involve populations that have experienced recent genetic admixture. Genotype data generated from these studies can be used to test for association directly, as in a nonโ€admixed population. As an alternative, these data can be used to

Exact family-based association tests for
โœ Kady Schneiter; Nan Laird; Chris Corcoran ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 134 KB ๐Ÿ‘ 1 views

## Abstract Familyโ€based study designs have an important role in the search for association between disease phenotypes and genetic markers. Unlike traditional caseโ€control methods, familyโ€based tests use withinโ€family data to avoid identification of spurious associations that may result from popula

Family-based association tests for ordin
โœ Xueqin Wang; Yuanqing Ye; Heping Zhang ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 140 KB ๐Ÿ‘ 1 views

## Abstract We present a class of familyโ€based association tests (FBATs) for ordinal traits that adjust for the effects of covariates. For complex diseases, especially mental health conditions including nicotine dependence and substance use, the outcome variables are often recorded in an ordinal ra

A new multimarker test for family-based
โœ Cyril S. Rakovski; Xin Xu; Ross Lazarus; Deborah Blacker; Nan M. Laird ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 138 KB ๐Ÿ‘ 1 views

## Abstract We propose a new multimarker test for familyโ€based studies in candidate genes. We use simulations under different genetic models to assess the performance of competing testing strategies, characterized in this study as combinations of the following important factors: genes, statistical

Improving the power of association tests
โœ G. Diao; D.Y. Lin ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 238 KB ๐Ÿ‘ 2 views

## Abstract Association mapping based on family studies can identify genes that influence complex human traits while providing protection against population stratification. Because no gene is likely to have a very large effect on a complex trait, most family studies have limited power. Among the co