OB gene not linked to human obesity in Mexican American affected sib pairs from Starr County, Texas

1996 ◽  
Vol 98 (5) ◽  
pp. 590-595 ◽  
Author(s):  
Molly S. Bray ◽  
Eric Boerwinkle ◽  
C. L. Hanis
Keyword(s):  
Mexican American ◽  
Human Obesity ◽  
Ob Gene ◽  
Affected Sib Pairs ◽  
Sib Pairs ◽  
Starr County

Identification of microsatellite markers near the human ob gene and linkage studies in NIDDM-affected sib pairs

Diabetes ◽  
1995 ◽  
Vol 44 (8) ◽  
pp. 999-1001 ◽  
Author(s):  
B. Stirling ◽  
N. J. Cox ◽  
G. I. Bell ◽  
C. L. Hanis ◽  
R. S. Spielman ◽  
...  
Keyword(s):  
Microsatellite Markers ◽  
Linkage Studies ◽  
Ob Gene ◽  
Affected Sib Pairs ◽  
Sib Pairs

Identification of Microsatellite Markers Near the Human ob Gene and Linkage Studies in NIDDM-Affected Sib Pairs

Diabetes ◽  
1995 ◽  
Vol 44 (8) ◽  
pp. 999-1001 ◽  
Author(s):  
B. Stirling ◽  
N. J. Cox ◽  
G. I. Bell ◽  
C. L. Hanis ◽  
R. S. Spielman ◽  
...  
Keyword(s):  
Microsatellite Markers ◽  
Linkage Studies ◽  
Ob Gene ◽  
Affected Sib Pairs ◽  
Sib Pairs

Practical Considerations on the Use of Extreme Sib-pairs for Obesity

2006 ◽  
Vol 45 (04) ◽  
pp. 419-423 ◽  
Author(s):  
N. Barth ◽  
H. Coners ◽  
H. Mayer ◽  
J. Hebebrand ◽  
A. Ziegler
Keyword(s):  
Psychiatric Disorders ◽  
The Body ◽  
Restrained Eating ◽  
Susceptibility Loci ◽  
Human Obesity ◽  
Genetic Studies ◽  
Medical Evaluation ◽  
Low Weight ◽  
Treatment Of Obesity ◽  
Sib Pairs

Summary Objectives: The extreme sib-pair approach has been shown to be a powerful strategy to identify susceptibility loci linked to quantitative traits. The body mass index is the usually assessed trait in genetic studies on human obesity. Environmental factors clearly play an important role for this trait. We hypothesized that the low weight of most sibs who were seemingly discordant to the obese index proband was influenced by other environmental and/or genetic factors like restrained eating or psychiatric disorders. Methods: A screening questionnaire was sent to parents of all consecutively admitted patients three weeks prior to referral of index probands for inpatient treatment of obesity. The first 320 families were further investigated. Twenty-seven seemingly extremely discordant sib-pairs (ED) were identified and examined in detail. Results: The low weight of most sibs who were seemingly discordant to the obese index proband was influenced by factors like restrained eating or psychiatric disorders. Only 20% of the interviewed ED could be considered as genuine ED. Conclusion: We conclude that extensive medical evaluation is necessary if the aim is to guarantee genuine ED in family studies for human obesity. Non-paternity deserves specific attention in ED studies.

A Robust Identity-by-Descent Procedure Using Affected Sib Pairs: Multipoint Mapping for Complex Diseases

2000 ◽  
Vol 51 (1-2) ◽  
pp. 64-78 ◽  
Author(s):  
Kung-Yee Liang ◽  
Yen-Feng Chiu ◽  
Terri H. Beaty
Keyword(s):  
Complex Diseases ◽  
Identity By Descent ◽  
Affected Sib Pairs ◽  
Sib Pairs ◽  
Multipoint Mapping

scholarly journals Genetic variants of the human obesity (OB) gene in subjects with and without Prader-Willi syndrome: comparison with body mass index and weight

2008 ◽  
Vol 54 (5) ◽  
pp. 385-393 ◽  
Author(s):  
Merlin G Butler ◽  
Lora Hedges ◽  
Christopher L Hovis ◽  
Irene D Feurer
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Genetic Variants ◽  
Prader Willi Syndrome ◽  
Human Obesity ◽  
Ob Gene

Family studies in multiple sclerosis: HLA haplotypes of affected sib-pairs

1984 ◽  
Vol 234 (1) ◽  
pp. 5-7 ◽  
Author(s):  
H. J. Mayer-Rienecker ◽  
S. Wegener ◽  
B. Hitzschke
Keyword(s):  
Multiple Sclerosis ◽  
Family Studies ◽  
Hla Haplotypes ◽  
Affected Sib Pairs ◽  
Sib Pairs

scholarly journals Gene‐based and pathway‐based testing for rare‐variant association in affected sib pairs

2020 ◽  
Vol 44 (4) ◽  
pp. 368-381
Author(s):  
Razvan G. Romanescu ◽  
Jessica Green ◽  
Irene L. Andrulis ◽  
Shelley B. Bull
Keyword(s):  
Rare Variant ◽  
Rare Variant Association ◽  
Affected Sib Pairs ◽  
Sib Pairs

scholarly journals Incorporating quantitative variables into linkage analysis using affected sib pairs

2007 ◽  
Vol 1 (S1) ◽  
Author(s):  
Yen-Feng Chiu ◽  
Jeng-Min Chiou ◽  
Yi-Shin Chen ◽  
Hui-Yi Kao ◽  
Fang-Chi Hsu
Keyword(s):  
Linkage Analysis ◽  
Affected Sib Pairs ◽  
Sib Pairs
Sign in / Sign up

Export Citation Format

Share Document