The Use of Sequential Designs in Genome Scans for Asthma Susceptibility Loci With Affected Sib Pairs

2001 ◽  
Vol 21 (S1) ◽  
pp. S49-S54 ◽  
Author(s):  
Inke R. Böddeker ◽  
Hans-Helge Müller ◽  
Ralf Kreβ ◽  
Frank Geller ◽  
Andreas Ziegler ◽  
...  
Keyword(s):  
Susceptibility Loci ◽  
Sequential Designs ◽  
Genome Scans ◽  
Asthma Susceptibility ◽  
Affected Sib Pairs ◽  
Sib Pairs

scholarly journals Genome-wide linkage analysis of Scandinavian affected sib-pairs supports presence of susceptibility loci for celiac disease on chromosomes 5 and 11

2001 ◽  
Vol 9 (12) ◽  
pp. 938-944 ◽  
Author(s):  
Åsa Torinsson Naluai ◽  
Staffan Nilsson ◽  
Audur H Gudjónsdóttir ◽  
Andrew S Louka ◽  
Henry Ascher ◽  
...  
Keyword(s):  
Celiac Disease ◽  
Linkage Analysis ◽  
Susceptibility Loci ◽  
Genome Wide ◽  
Affected Sib Pairs ◽  
Sib Pairs

scholarly journals Identification of susceptibility loci for cervical carcinoma by genome scan of affected sib-pairs

2006 ◽  
Vol 15 (22) ◽  
pp. 3351-3360 ◽  
Author(s):  
Malin T. Engelmark ◽  
Emma L. Ivansson ◽  
Jessica J. Magnusson ◽  
Inger M. Gustavsson ◽  
Anna H. Beskow ◽  
...  
Keyword(s):  
Cervical Carcinoma ◽  
Genome Scan ◽  
Susceptibility Loci ◽  
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

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
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