mtSNP association tests

RL R. J. Longchamps
SY S. Y. Yang
CC C. A. Castellani
WS W. Shi
JL J. Lane
MG M. L. Grove
TB T. M. Bartz
CS C. Sarnowski
CL C. Liu
KB K. Burrows
AG A. L. Guyatt
TG T. R. Gaunt
TK T. Kacprowski
JY J. Yang
PJ P. L. De Jager
LY L. Yu
AB A. Bergman
RX R. Xia
MF M. Fornage
MF M. F. Feitosa
MW M. K. Wojczynski
AK A. T. Kraja
MP M. A. Province
NA N. Amin
FR F. Rivadeneira
HT H. Tiemeier
AU A. G. Uitterlinden
LB L. Broer
JM J. B. J. Van Meurs
CD C. M. Van Duijn
LR L. M. Raffield
LL L. Lange
SR S. S. Rich
RL R. N. Lemaitre
MG M. O. Goodarzi
CS C. M. Sitlani
AM A. C. Y. Mak
DB D. A. Bennett
SR S. Rodriguez
JM J. M. Murabito
KL K. L. Lunetta
NS N. Sotoodehnia
GA G. Atzmon
KY K. Ye
NB N. Barzilai
JB J. A. Brody
BP B. M. Psaty
KT K. D. Taylor
JR J. I. Rotter
EB E. Boerwinkle
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Linear regressions stratified by genotyping array (UKBB, UKBL) were performed for each mtDNA SNP on the 41 traits and mtDNA-CN, including the following covariates: age, age2, sex, center, first 20 genotyping PCs. Only SNPs with MAF > 0.005 and imputation INFO score > 0.80 were included (UKBB, n = 223; UKBL, n = 190; both, n = 149). Results were then meta-analyzed using inverse variance weighting.

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