TY - JOUR
T1 - Evolution and functional impact of rare coding variation from deep sequencing of human exomes
AU - Tennessen, Jacob A.
AU - Bigham, Abigail W.
AU - O'Connor, Timothy D.
AU - Fu, Wenqing
AU - Kenny, Eimear E.
AU - Gravel, Simon
AU - McGee, Sean
AU - Do, Ron
AU - Liu, Xiaoming
AU - Jun, Goo
AU - Kang, Hyun Min
AU - Jordan, Daniel
AU - Leal, Suzanne M.
AU - Gabriel, Stacey
AU - Rieder, Mark J.
AU - Abecasis, Goncalo
AU - Altshuler, David
AU - Nickerson, Deborah A.
AU - Boerwinkle, Eric
AU - Sunyaev, Shamil
AU - Bustamante, Carlos D.
AU - Bamshad, Michael J.
AU - Akey, Joshua M.
PY - 2012/7/6
Y1 - 2012/7/6
N2 - As a first step toward understanding how rare variants contribute to risk for complex diseases, we sequenced 15,585 human protein-coding genes to an average median depth of 111x in 2440 individuals of European (n = 1351) and African (n = 1088) ancestry. We identified over 500,000 single-nucleotide variants (SNVs), the majority of which were rare (86% with a minor allele frequency less than 0.5%), previously unknown (82%), and population-specific (82%). On average, 2.3% of the 13,595 SNVs each person carried were predicted to affect protein function of ∼313 genes per genome, and ∼95.7% of SNVs predicted to be functionally important were rare. This excess of rare functional variants is due to the combined effects of explosive, recent accelerated population growth and weak purifying selection. Furthermore, we show that large sample sizes will be required to associate rare variants with complex traits.
AB - As a first step toward understanding how rare variants contribute to risk for complex diseases, we sequenced 15,585 human protein-coding genes to an average median depth of 111x in 2440 individuals of European (n = 1351) and African (n = 1088) ancestry. We identified over 500,000 single-nucleotide variants (SNVs), the majority of which were rare (86% with a minor allele frequency less than 0.5%), previously unknown (82%), and population-specific (82%). On average, 2.3% of the 13,595 SNVs each person carried were predicted to affect protein function of ∼313 genes per genome, and ∼95.7% of SNVs predicted to be functionally important were rare. This excess of rare functional variants is due to the combined effects of explosive, recent accelerated population growth and weak purifying selection. Furthermore, we show that large sample sizes will be required to associate rare variants with complex traits.
UR - http://www.scopus.com/inward/record.url?scp=84863556835&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863556835&partnerID=8YFLogxK
U2 - 10.1126/science.1219240
DO - 10.1126/science.1219240
M3 - Article
C2 - 22604720
AN - SCOPUS:84863556835
SN - 0036-8075
VL - 336
SP - 64
EP - 69
JO - Science
JF - Science
IS - 6090
ER -