Analyses of inversion polymorphisms

AO Aysu Okbay
BB Bart M.L. Baselmans
JN Jan-Emmanuel De Neve
PT Patrick Turley
MN Michel G. Nivard
MF Mark Alan Fontana
SM S. Fleur W. Meddens
RL Richard Karlsson Linnér
CR Cornelius A. Rietveld
JD Jaime Derringer
JG Jacob Gratten
JL James J. Lee
JL Jimmy Z. Liu
RV Ronald de Vlaming
TA Tarunveer S. Ahluwalia
JB Jadwiga Buchwald
AC Alana Cavadino
AF Alexis C. Frazier-Wood
NF Nicholas A. Furlotte
VG Victoria Garfield
MG Marie Henrike Geisel
JG Juan R. Gonzalez
SH Saskia Haitjema
RK Robert Karlsson
SL Sander W. van der Laan
KL Karl-Heinz Ladwig
JL Jari Lahti
SL Sven J. van der Lee
PL Penelope A. Lind
TL Tian Liu
LM Lindsay Matteson
EM Evelin Mihailov
MM Michael B. Miller
CM Camelia C. Minica
IN Ilja M. Nolte
DM Dennis Mook-Kanamori
PM Peter J. van der Most
CO Christopher Oldmeadow
YQ Yong Qian
OR Olli Raitakari
RR Rajesh Rawal
AR Anu Realo
RR Rico Rueedi
BS Börge Schmidt
AS Albert V. Smith
ES Evie Stergiakouli
TT Toshiko Tanaka
KT Kent Taylor
JW Juho Wedenoja
JW Juergen Wellmann
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Two genome-wide significant SNPs for the neuroticism analysis are located within well-known inversion polymorphisms, on chromosomes 8 and 17. Using the genotypic data available for UKB participants, we called the inversion genotypes for UKB participants using a PCA-mixture method. For both inversions, the method clearly distinguishes 3 clusters of genotypes, corresponding to inversion genotypes (Supplementary Fig. 10). We validated the PCA-mixture procedure using existing methods designed to call inversion genotypes39 (Supplementary Table 26).

For both inversions, we established that the inversion-tagging SNPs were always located in close proximity of the inversion region (Fig. 3b and Supplementary Figs. 10–11). Supplementary Tables 27–28 list the twenty variants that most strongly correlate with the PCs that capture the inversion polymorphisms on chromosome 8 and 17, respectively. In additional analyses, we confirmed that the inversion is associated with neuroticism and subjective well-being in independent cohorts (Supplementary Tables 29–30 and Supplementary Fig. 12–13).

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