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GWAS Study

A meta-analysis of thyroid-related traits reveals novel loci and gender-specific differences in the regulation of thyroid function.

Porcu E, Medici M, Pistis G et al.

23408906 PubMed ID
GWAS Study Type
26420 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

PE
Porcu E
MM
Medici M
PG
Pistis G
VC
Volpato CB
WS
Wilson SG
CA
Cappola AR
BS
Bos SD
DJ
Deelen J
DH
den Heijer M
FR
Freathy RM
LJ
Lahti J
LC
Liu C
LL
Lopez LM
NI
Nolte IM
OJ
O'Connell JR
TT
Tanaka T
TS
Trompet S
AA
Arnold A
BS
Bandinelli S
BM
Beekman M
BS
Böhringer S
BS
Brown SJ
BB
Buckley BM
CC
Camaschella C
DC
de Craen AJ
DG
Davies G
DV
de Visser MC
FI
Ford I
FT
Forsen T
FT
Frayling TM
FL
Fugazzola L
GM
Gögele M
HA
Hattersley AT
HA
Hermus AR
HA
Hofman A
HJ
Houwing-Duistermaat JJ
JR
Jensen RA
KE
Kajantie E
KM
Kloppenburg M
LE
Lim EM
MC
Masciullo C
MS
Mariotti S
MC
Minelli C
MB
Mitchell BD
NR
Nagaraja R
NR
Netea-Maier RT
PA
Palotie A
PL
Persani L
PM
Piras MG
PB
Psaty BM
RK
Räikkönen K
RJ
Richards JB
RF
Rivadeneira F
SC
Sala C
SM
Sabra MM
SN
Sattar N
SB
Shields BM
SN
Soranzo N
SJ
Starr JM
SD
Stott DJ
SF
Sweep FC
UG
Usala G
VD
van der Klauw MM
VH
van Heemst D
VM
van Mullem A
VS
Vermeulen SH
VW
Visser WE
WJ
Walsh JP
WR
Westendorp RG
WE
Widen E
ZG
Zhai G
CF
Cucca F
DI
Deary IJ
EJ
Eriksson JG
FL
Ferrucci L
FC
Fox CS
JJ
Jukema JW
KL
Kiemeney LA
PP
Pramstaller PP
SD
Schlessinger D
SA
Shuldiner AR
SE
Slagboom EP
UA
Uitterlinden AG
VB
Vaidya B
VT
Visser TJ
WB
Wolffenbuttel BH
MI
Meulenbelt I
RJ
Rotter JI
ST
Spector TD
HA
Hicks AA
TD
Toniolo D
SS
Sanna S
PR
Peeters RP
NS
Naitza S
Chapter II

Abstract

Summary of the research findings

Thyroid hormone is essential for normal metabolism and development, and overt abnormalities in thyroid function lead to common endocrine disorders affecting approximately 10% of individuals over their life span. In addition, even mild alterations in thyroid function are associated with weight changes, atrial fibrillation, osteoporosis, and psychiatric disorders. To identify novel variants underlying thyroid function, we performed a large meta-analysis of genome-wide association studies for serum levels of the highly heritable thyroid function markers TSH and FT4, in up to 26,420 and 17,520 euthyroid subjects, respectively. Here we report 26 independent associations, including several novel loci for TSH (PDE10A, VEGFA, IGFBP5, NFIA, SOX9, PRDM11, FGF7, INSR, ABO, MIR1179, NRG1, MBIP, ITPK1, SASH1, GLIS3) and FT4 (LHX3, FOXE1, AADAT, NETO1/FBXO15, LPCAT2/CAPNS2). Notably, only limited overlap was detected between TSH and FT4 associated signals, in spite of the feedback regulation of their circulating levels by the hypothalamic-pituitary-thyroid axis. Five of the reported loci (PDE8B, PDE10A, MAF/LOC440389, NETO1/FBXO15, and LPCAT2/CAPNS2) show strong gender-specific differences, which offer clues for the known sexual dimorphism in thyroid function and related pathologies. Importantly, the TSH-associated loci contribute not only to variation within the normal range, but also to TSH values outside the reference range, suggesting that they may be involved in thyroid dysfunction. Overall, our findings explain, respectively, 5.64% and 2.30% of total TSH and FT4 trait variance, and they improve the current knowledge of the regulation of hypothalamic-pituitary-thyroid axis function and the consequences of genetic variation for hypo- or hyperthyroidism.

up to 14,459 European ancestry females, up to 10,936 European ancestry males, up to 433 Old Order Amish females, up to 592 Old Order Amish males

Chapter III

Study Statistics

Key metrics and study information

26420
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Finland, U.S., Italy, Netherlands, U.K., Republic of Ireland
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

Important Disclaimer: This review has been performed semi-automatically and is provided for informational purposes only. While we strive for accuracy, this analysis may contain errors, omissions, or misinterpretations of the original research. DNA Genics disclaims all liability for any inaccuracies, errors, or consequences arising from the use of this information. Users should independently verify all information and consult original research publications before making any decisions based on this content. This analysis is not intended as a substitute for professional scientific review or medical advice.

Analysis In Progress

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