scholarly journals Detecting Rare Variants for Quantitative Traits Using Nuclear Families

2012 ◽  
Vol 73 (3) ◽  
pp. 148-158 ◽  
Author(s):  
Wei Guo ◽  
Yin Yao Shugart
2011 ◽  
Vol 174 (2) ◽  
pp. 226-233 ◽  
Author(s):  
Feng He ◽  
Ji-Yuan Zhou ◽  
Yue-Qing Hu ◽  
Fengzhu Sun ◽  
Jingyuan Yang ◽  
...  

2000 ◽  
Vol 8 (11) ◽  
pp. 853-860 ◽  
Author(s):  
Lyle J Palmer ◽  
Paul R Burton ◽  
Alan L James ◽  
A William Musk ◽  
William OCM Cookson

PLoS Genetics ◽  
2013 ◽  
Vol 9 (8) ◽  
pp. e1003694 ◽  
Author(s):  
Geraldine M. Clarke ◽  
Manuel A. Rivas ◽  
Andrew P. Morris

2018 ◽  
Author(s):  
Adam E Locke ◽  
Karyn Meltz Steinberg ◽  
Charleston WK Chiang ◽  
Susan K Service ◽  
Aki S Havulinna ◽  
...  

ABSTRACTAs yet undiscovered rare variants are hypothesized to substantially influence an individual’s risk for common diseases and traits, but sequencing studies aiming to identify such variants have generally been underpowered. In isolated populations that have expanded rapidly after a population bottleneck, deleterious alleles that passed through the bottleneck may be maintained at much higher frequencies than in other populations. In an exome sequencing study of nearly 20,000 cohort participants from northern and eastern Finnish populations that exemplify this phenomenon, most novel trait-associated deleterious variants are seen only in Finland or display frequencies more than 20 times higher than in other European populations. These enriched alleles underlie 34 novel associations with 21 disease-related quantitative traits and demonstrate a geographical clustering equivalent to that of Mendelian disease mutations characteristic of the Finnish population. Sequencing studies in populations without this unique history would require hundreds of thousands to millions of participants for comparable power for these variants.


2000 ◽  
Vol 66 (1) ◽  
pp. 279-292 ◽  
Author(s):  
G.R. Abecasis ◽  
L.R. Cardon ◽  
W.O.C. Cookson

Sign in / Sign up

Export Citation Format

Share Document