TY - JOUR
T1 - Complex effects of sequence variants on lipid levels and coronary artery disease
AU - Snaebjarnarson, Audunn S.
AU - Helgadottir, Anna
AU - Arnadottir, Gudny A.
AU - Ivarsdottir, Erna V.
AU - Thorleifsson, Gudmar
AU - Ferkingstad, Egil
AU - Einarsson, Gudmundur
AU - Sveinbjornsson, Gardar
AU - Thorgeirsson, Thorgeir E.
AU - Ulfarsson, Magnus O.
AU - Halldorsson, Bjarni V.
AU - Olafsson, Isleifur
AU - Erikstrup, Christian
AU - Pedersen, Ole B.
AU - Nyegaard, Mette
AU - Bruun, Mie T.
AU - Ullum, Henrik
AU - Brunak, Søren
AU - Iversen, Kasper Karmark
AU - Christensen, Alex Hoerby
AU - Olesen, Morten S.
AU - Ghouse, Jonas
AU - Banasik, Karina
AU - Knowlton, Kirk U.
AU - Arnar, David O.
AU - Thorgeirsson, Gudmundur
AU - Nadauld, Lincoln
AU - Ostrowski, Sisse Rye
AU - Bundgaard, Henning
AU - Holm, Hilma
AU - Sulem, Patrick
AU - Stefansson, Kari
AU - Gudbjartsson, Daniel F.
AU - DBDS Genomic Consortium
N1 - Publisher Copyright:
© 2023 Elsevier Inc.
PY - 2023
Y1 - 2023
N2 - Many sequence variants have additive effects on blood lipid levels and, through that, on the risk of coronary artery disease (CAD). We show that variants also have non-additive effects and interact to affect lipid levels as well as affecting variance and correlations. Variance and correlation effects are often signatures of epistasis or gene-environmental interactions. These complex effects can translate into CAD risk. For example, Trp154Ter in FUT2 protects against CAD among subjects with the A1 blood group, whereas it associates with greater risk of CAD in others. His48Arg in ADH1B interacts with alcohol consumption to affect lipid levels and CAD. The effect of variants in TM6SF2 on blood lipids is greatest among those who never eat oily fish but absent from those who often do. This work demonstrates that variants that affect variance of quantitative traits can allow for the discovery of epistasis and interactions of variants with the environment.
AB - Many sequence variants have additive effects on blood lipid levels and, through that, on the risk of coronary artery disease (CAD). We show that variants also have non-additive effects and interact to affect lipid levels as well as affecting variance and correlations. Variance and correlation effects are often signatures of epistasis or gene-environmental interactions. These complex effects can translate into CAD risk. For example, Trp154Ter in FUT2 protects against CAD among subjects with the A1 blood group, whereas it associates with greater risk of CAD in others. His48Arg in ADH1B interacts with alcohol consumption to affect lipid levels and CAD. The effect of variants in TM6SF2 on blood lipids is greatest among those who never eat oily fish but absent from those who often do. This work demonstrates that variants that affect variance of quantitative traits can allow for the discovery of epistasis and interactions of variants with the environment.
KW - blood lipids
KW - cholesterol
KW - coronary artery disease
KW - correlation effects
KW - dominance effects
KW - epistasis
KW - gene-environment interaction effects
KW - gene-gene interaction effects
KW - genome-wide association study
KW - variance effects
U2 - 10.1016/j.cell.2023.08.012
DO - 10.1016/j.cell.2023.08.012
M3 - Journal article
C2 - 37714134
AN - SCOPUS:85170703455
VL - 186
SP - 4085-4099.e15
JO - Cell
JF - Cell
SN - 0092-8674
IS - 19
ER -