TY - JOUR
T1 - Genome-wide association study and polygenic risk prediction of hypothyroidism
AU - Rand, Søren A
AU - Ahlberg, Gustav
AU - Tragante, Vinicius
AU - Monfort, Laia M
AU - Zheng, Chaoqun
AU - Feldt-Rasmussen, Ulla
AU - Klose, Marianne C
AU - Teder-Laving, Maris
AU - Metspalu, Andres
AU - Poulsen, Henrik E
AU - Ellervik, Christina
AU - Nygaard, Birte
AU - Erikstrup, Christian
AU - Bruun, Mie T
AU - A Jensen, Bitten
AU - Ullum, Henrik
AU - Brunak, Søren
AU - Schwinn, Michael
AU - Ostrowski, Sisse R
AU - Pedersen, Ole B
AU - Sørensen, Erik
AU - Jonsdottir, Ingileif
AU - Gudbjartsson, Daniel F
AU - Thorleifsson, Gudmar
AU - Holm, Hilma
AU - Saevarsdottir, Saedis
AU - Stefansson, Kari
AU - Salling Olesen, Morten
AU - Bundgaard, Henning
AU - DBDS Genomic Consortium
AU - Ghouse, Jonas
A2 - Werge, Thomas Mears
N1 - © 2025. The Author(s).
PY - 2025/12
Y1 - 2025/12
N2 - We performed a genome-wide meta-analysis of hypothyroidism (113,393 cases and 1,065,268 controls), free thyroxine (191,449 individuals) and thyroid-stimulating hormone (482,873 individuals). We identified 350 loci associated with hypothyroidism, including 179 not previously reported, 29 of which were linked through thyroid-stimulating hormone. We found that many hypothyroidism risk loci regulate blood cell counts and the circulating inflammasome, and through multiple gene-mapping strategies, we prioritized 259 putative causal genes enriched in immune-related functions. We developed a polygenic risk score (PRS) based on more than 115,000 hypothyroidism cases to address diagnostic challenges in individuals with or at risk of thyroid hormone deficiency. We show that the highest predictive accuracy for hypothyroidism was achieved when combining the PRS with thyroid hormones and thyroid-peroxidase autoantibodies, and that the PRS was able to stratify risk of progression among individuals with subclinical hypothyroidism. These findings demonstrate the potential for a hypothyroidism PRS to support the prediction of disease progression and onset in thyroid hormone deficiency.
AB - We performed a genome-wide meta-analysis of hypothyroidism (113,393 cases and 1,065,268 controls), free thyroxine (191,449 individuals) and thyroid-stimulating hormone (482,873 individuals). We identified 350 loci associated with hypothyroidism, including 179 not previously reported, 29 of which were linked through thyroid-stimulating hormone. We found that many hypothyroidism risk loci regulate blood cell counts and the circulating inflammasome, and through multiple gene-mapping strategies, we prioritized 259 putative causal genes enriched in immune-related functions. We developed a polygenic risk score (PRS) based on more than 115,000 hypothyroidism cases to address diagnostic challenges in individuals with or at risk of thyroid hormone deficiency. We show that the highest predictive accuracy for hypothyroidism was achieved when combining the PRS with thyroid hormones and thyroid-peroxidase autoantibodies, and that the PRS was able to stratify risk of progression among individuals with subclinical hypothyroidism. These findings demonstrate the potential for a hypothyroidism PRS to support the prediction of disease progression and onset in thyroid hormone deficiency.
KW - Case-Control Studies
KW - Female
KW - Genetic Predisposition to Disease
KW - Genome-Wide Association Study
KW - Humans
KW - Hypothyroidism/genetics
KW - Male
KW - Multifactorial Inheritance/genetics
KW - Polymorphism, Single Nucleotide
KW - Risk Factors
KW - Thyrotropin/blood
KW - Thyroxine/blood
UR - https://www.scopus.com/pages/publications/105022468888
U2 - 10.1038/s41588-025-02410-z
DO - 10.1038/s41588-025-02410-z
M3 - Journal article
C2 - 41238958
SN - 1061-4036
VL - 57
SP - 3007
EP - 3015
JO - Nature Genetics
JF - Nature Genetics
IS - 12
ER -