GAW10 Problem 2 involves a simulated common disease defined by imposing a threshold, T, on a quantitative trait, Q1. Every individual with a value of Q1 $ T (where T = 40) is defined as affected. Also thought to be associated with the disease as intervening variables are four other quantitative trai
Analysis of quantitative risk factors for a common oligogenic disease
β Scribed by K. A. B. Goddard; G. P. Jarvik; J. Graham; B. McNeney; L. Hsu; K. Siegmund; S. Grosser; J. Olson; Dr. E. M. Wijsman
- Publisher
- John Wiley and Sons
- Year
- 1995
- Tongue
- English
- Weight
- 337 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0741-0395
No coin nor oath required. For personal study only.
β¦ Synopsis
All three simulated loci influencing the quantitative variables 41, 42, and 4 3 were successfully mapped by using a strategy of covariate adjustment and segregation analysis, coupled with association analyses and lod-score analyses.
π SIMILAR VOLUMES
For Problem 2, simulated family data were provided for a common oligogenic disease that was defined by imposing a threshold, T, on a quantitative trait, 41. Every individual with a value of Q1 > T (where T = 87.5) was defined as affected. Participants were told that three other quantitative traits
Sib pairs drawn from the simulated common oligogenic disease families were selected for extreme quantitative trait scores and analyzed using interval mapping and multipoint methods. Linkage analyses of 112 selected sib pairs, in which one or more members had trait values exceeding the disease thresh
A sequential scheme for identifying genetic markers, in linkage disequilibrium with disease susceptibility loci, was utilized to evaluate potential associations between a rare oligogenic disease and genetic variation at 360 anonymous DNA markers. 1995 Wiley-Liss, Inc.
demonstrate the association/aggregation analysis of case-control family data, which is described as part of the population-based family study design described in Zhao et al.
## Abstract Common genetic variants that increase the risk for Parkinson's disease may differentiate patient subgroups and influence future individualized therapeutic strategies. Herein we show evidence for __leucineβrich repeat kinase 2 (LRRK2)__ c.4883G>C (R1628P) as a risk factor in ethnic Chine