Loss-of-function variants in ADCY3 increase risk of obesity and type 2 diabetes
Open accessAbstract
We have identified a variant in ADCY3 (encoding adenylate cyclase 3) associated with markedly increased risk of obesity and type 2 diabetes in the Greenlandic population. The variant disrupts a splice acceptor site, and carriers have decreased ADCY3 RNA expression. Additionally, we observe an enrichment of rare ADCY3 loss-of-function variants among individuals with type 2 diabetes in trans-ancestry cohorts. These findings provide new information on disease etiology relevant for future treatment strategies.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
These developments have enabled researchers to bridge the gap between monogenic and polygenic realms, identifying common variant modifiers of monogenic phenotypes and low-frequency and rare variants influencing common multifactorial traits.
“These developments have enabled researchers to bridge the gap between the monogenic and polygenic realms, identifying common variant modifiers of monogenic phenotypes contributing to the variable expression of rare, large-effect alleles26,93, and low-frequency and rare variants that influence common multifactorial traits94,95.”
From A brief history of human disease genetics (2020) · cites this paper as [94]
ADCY3 variants are linked to increased type 2 diabetes, BMI, fat percentage, fasting plasma glucose, and acute plasma glucose in a Greenlandic cohort.
“Variants of the ADCY3 gene have been linked to increased body mass index (BMI, corrected for height) in children (157); increased type 2 diabetes, BMI, fat percentage, fasting plasma glucose, and acute plasma glucose in a Greenlandic cohort (158); and increased BMI in obese adult subjects (159).”
From Physiological roles of mammalian transmembrane adenylyl cyclase isoforms (2022) · cites this paper as [158]
Human genetic data, animal models, and AC3 location provide compelling evidence for AC3 as a unique therapeutic target for obesity disorders.
“The human genetic data, coupled with the animal models and AC3 location, provide compelling evidence for AC3 as a unique therapeutic target for obesity disorders.”
From Physiological roles of mammalian transmembrane adenylyl cyclase isoforms (2022) · cites this paper as [158]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548 · see citing works
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502 · see citing works
Toprak, Ö., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney & Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,769 · see citing works
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Liao, Y., Smyth, G. K., & Shi, W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt656 · Cited by 27,219 · see citing works
HISAT: a fast spliced aligner with low memory requirements
Kim, D., Langmead, B., & Salzberg, S. L. (2015) · Nature Methods · doi:10.1038/nmeth.3317 · Cited by 24,112 · see citing works
Trapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1621 · Cited by 15,556 · see citing works
Robinson, J. T., Thorvaldsdóttir, H., Winckler, W., Guttman, M., Lander, E. S., Getz, G., & Mesirov, J. P. (2011) · Nature Biotechnology · doi:10.1038/nbt.1754 · Cited by 15,390 · see citing works
The Pfam Protein Families Database
Bateman, A. G. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.276 · Cited by 14,062 · see citing works
Salmon provides fast and bias-aware quantification of transcript expression
Patro, R., Duggal, G., Love, M. I., Irizarry, R. A., & Kingsford, C. (2017) · Nature Methods · doi:10.1038/nmeth.4197 · Cited by 12,700 · see citing works
Fast model-based estimation of ancestry in unrelated individuals
Alexander, D. H., Novembre, J., & Lange, K. (2009) · Genome Research · doi:10.1101/gr.094052.109 · Cited by 9,898 · see citing works
Analysis of protein-coding genetic variation in 60,706 humans
Exome Aggregation Consortium, Lek, M., Karczewski, K. J., Minikel, E. V., Samocha, K. E., Banks, E., Fennell, T., O’Donnell-Luria, A. H., Ware, J. S., Hill, A. J., et al. (2016) · Nature · doi:10.1038/nature19057 · Cited by 9,587 · see citing works
Genetics of Food Intake Self-Regulation in Childhood: Literature Review and Research Opportunities
Faith, M. S., Carnell, S., & Kral, T. V. E. (2013) · Human Heredity · doi:10.1159/000353879 · Cited by 7,628 · see citing works
GENCODE: The reference human genome annotation for The ENCODE Project
Harrow, J., Frankish, A., Gonzalez, J. M., Tapanari, E., Diekhans, M., Kokocinski, F., Aken, B. L., Barrell, D., Zadissa, A., Searle, S., et al. (2012) · Genome Research · doi:10.1101/gr.135350.111 · Cited by 4,585 · see citing works
The Pfam protein families database
Punta, M., Coggill, P. C., Eberhardt, R. Y., Mistry, J., Tate, J., Boursnell, C., Pang, N., Forslund, K., Ceric, G., Clements, J., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr1065 · Cited by 3,719 · see citing works
Genome-wide efficient mixed-model analysis for association studies
Zhou, X., & Stephens, M. (2012) · Nature Genetics · doi:10.1038/ng.2310 · Cited by 3,627 · see citing works
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
MAGIC, Speliotes, E. K., on behalf of Procardis Consortium, Willer, C. J., Berndt, S. I., Monda, K. L., Thorleifsson, G., Jackson, A. U., Allen, H. L., Lindgren, C. M., et al. (2010) · Nature Genetics · doi:10.1038/ng.686 · Cited by 2,912 · see citing works
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
DIAGRAM Consortium, Dupuis, J., GIANT Consortium, Global BPgen Consortium, Anders Hamsten on behalf of Procardis Consortium, the MAGIC investigators, Langenberg, C., Prokopenko, I., Saxena, R., Soranzo, N., et al. (2010) · Nature Genetics · doi:10.1038/ng.520 · Cited by 2,166 · see citing works
Self-citationThe genetic architecture of type 2 diabetes
Fuchsberger, C., Flannick, J., Teslovich, T. M., Mahajan, A., Agarwala, V., Gaulton, K. J., Ma, C., Fontanillas, P., Moutsianas, L., McCarthy, D. J., et al. (2016) · Nature · doi:10.1038/nature18642 · Cited by 1,051 · see citing works
Self-citationAssociation analyses of 249,796 individuals reveal 18 new loci associated with body mass index
Speliotes, E. K., Willer, C. J., Berndt, S. I., Monda, K. L., Þorleifsson, G., Jackson, A., Allen, H. L., Lindgren, C. M., Luan, J., Mägi, R., et al. (2010) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/d3bn-7g86 · Cited by 767 · see citing works
Validation of the insulin sensitivity index (ISI0,120): comparison with other measures
Gutt, M., Davis, C. L., Spitzer, S. B., Llabre, M. M., Kumar, M., Czarnecki, E. M., Schneiderman, N., Skyler, J. S., & Marks, J. B. (2000) · Diabetes Research and Clinical Practice · doi:10.1016/s0168-8227(99)00116-3 · Cited by 464 · see citing works
A common Greenlandic TBC1D4 variant confers muscle insulin resistance and type 2 diabetes
Moltke, I., Grarup, N., Jørgensen, M. E., Bjerregaard, P., Treebak, J. T., Fumagalli, M., Korneliussen, T. S., Andersen, M. A., Nielsen, T. S., Krarup, N. T., et al. (2014) · Nature · doi:10.1038/nature13425 · Cited by 418 · see citing works
Self-citationAssociation of a Low-Frequency Variant in <i>HNF1A</i> With Type 2 Diabetes in a Latino Population
Estrada, K., Aukrust, I., Bjørkhaug, L., Burtt, N. P., Mercader, J. M., García-Ortiz, H., Huerta-Chagoya, A., Moreno-Macías, H., Walford, G., Flannick, J., et al. (2014) · JAMA · doi:10.1001/jama.2014.6511 · Cited by 259 · see citing works
The Landscape of Isoform Switches in Human Cancers
Vitting‐Seerup, K., & Sandelin, A. (2017) · Molecular Cancer Research · doi:10.1158/1541-7786.mcr-16-0459 · Cited by 252 · see citing works
Self-citationQuantitative visualization of alternative exon expression from RNA-seq data
Yarden Katz, A., Wang, E. T., Silterra, J., Schwartz, S., Wong, B., Thorvaldsdóttir, H., Robinson, J. T., Mesirov, J. P., Airoldi, E. M., & Burge, C. B. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv034 · Cited by 220 · see citing works
The Metabolic Syndrome in Men study: a resource for studies of metabolic and cardiovascular diseases
Laakso, M., Kuusisto, J., Stančáková, A., Kuulasmaa, T., Pajukanta, P., Lusis, A. J., Collins, F. S., Mohlke, K. L., & Boehnke, M. (2017) · Journal of Lipid Research · doi:10.1194/jlr.o072629 · Cited by 204 · see citing works
Whole-Genome Sequencing Coupled to Imputation Discovers Genetic Signals for Anthropometric Traits
Tachmazidou, I., Süveges, D., Min, J. L., Ritchie, G. R. S., Steinberg, J., Walter, K., Iotchkova, V., Schwartzentruber, J., Huang, J., Memari, Y., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.04.014 · Cited by 188 · see citing works
Self-citationTargeting cAMP/PKA pathway for glycemic control and type 2 diabetes therapy.
Yang, H.-H., & Yang, L.-H. (2016) · Journal of Molecular Endocrinology · doi:10.1530/jme-15-0316 · Cited by 179 · see citing works
Adult Type 3 Adenylyl Cyclase–Deficient Mice Are Obese
Wang, Z., Li, V., Chan, G. C. K., Phan, T., Nudelman, A. S., Xia, Z., & Storm, D. R. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006979 · Cited by 159 · see citing works
Xu, T., Yang, Y., Ward, R. J., Gao, L., & Liu, Y. (2013) · Cellular Signalling · doi:10.1016/j.cellsig.2013.07.025 · Cited by 158 · see citing works
A genome-wide association study of body mass index across early life and childhood
Warrington, N. M., Howe, L. D., Paternoster, L., Kaakinen, M., Herrala, S., Huikari, V., Wu, Y., Kemp, J. P., Timpson, N. J., Pourcain, B. S., et al. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv077 · Cited by 134 · see citing works
Lohmueller, K. E., Sparsø, T., Li, Q., Galijatovic, E. A. A., Korneliussen, T. S., Albrechtsen, A., Banasik, K., Grarup, N., Hallgrímsdóttir, I. B., Kiil, K., et al. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.11.005 · Cited by 125 · see citing works
Self-citationCilia and ObesityPreprint
Vaisse, C., Reiter, J. F., & Berbari, N. F. (2017) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a028217 · Cited by 112 · see citing works
Bjerregaard, P., Curtis, T., Borch‐Johnsen, K., Mulvad, G., Becker, U., Andersen, S., & Backer, V. (2003) · International Journal of Circumpolar Health · doi:10.3402/ijch.v62i0.18212 · Cited by 92 · see citing works
Self-citationTong, T., Shen, Y., Lee, H.-W., Yu, R., & Park, T. (2016) · Scientific Reports · doi:10.1038/srep34179 · Cited by 82 · see citing works
Evaluating the Impact of Sequencing Depth on Transcriptome Profiling in Human Adipose
Liu, Y., Ferguson, J. F., Xue, C., Silverman, I. M., Gregory, B., Reilly, M. P., & Li, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066883 · Cited by 74 · see citing works
Chen, X., Luo, J., Leng, Y., Yang, Y., Zweifel, L. S., Palmiter, R. D., & Storm, D. R. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.12.012 · Cited by 74 · see citing works
Panoutsopoulou, K., Hatzikotoulas, K., Xifara, D. K., Colonna, V., Farmaki, A.-E., Ritchie, G. R. S., Southam, L., Gilly, A., Tachmazidou, I., Fatumo, S., et al. (2014) · Nature Communications · doi:10.1038/ncomms6345 · Cited by 70 · see citing works
Self-citationRelateAdmix: a software tool for estimating relatedness between admixed individuals
Moltke, I., & Albrechtsen, A. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt652 · Cited by 66 · see citing works
Self-citationPedersen, C. T., Lohmueller, K. E., Grarup, N., Bjerregaard, P., Hansen, T. F., SIEGISMUND, H. R., Moltke, I., & Albrechtsen, A. (2016) · Genetics · doi:10.1534/genetics.116.193821 · Cited by 65 · see citing works
Self-citationA Gain-of-Function Mutation in Adenylate Cyclase 3 Protects Mice from Diet-Induced Obesity
Pitman, J. L., Wheeler, M. C., Lloyd, D. J., Walker, J. R., Glynne, R. J., & Gekakis, N. (2014) · PLoS ONE · doi:10.1371/journal.pone.0110226 · Cited by 63 · see citing works
Fat Distribution and Glucose Intolerance Among Greenland Inuit
Jørgensen, M. E., Borch‐Johnsen, K., Stolk, R. P., & Bjerregaard, P. (2013) · Diabetes Care · doi:10.2337/dc12-2703 · Cited by 51 · see citing works
Self-citationPhilipsen, A., Jørgensen, M. E., Vistisen, D., Sandbæk, A., Almdal, T., Christiansen, J. S., Lauritzen, T., & Witte, D. R. (2015) · PLoS ONE · doi:10.1371/journal.pone.0123062 · Cited by 49 · see citing works
Self-citationAndersen, M. K., Jørsboe, E., Sandholt, C. H., Grarup, N., Jørgensen, M. E., Færgeman, N. J., Bjerregaard, P., Pedersen, O. B., Moltke, I., Hansen, T. F., et al. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1006119 · Cited by 30 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 3
- [3]Speliotes EK Nat Genet 2010 42 937 48 20935630 PMC3014648
- [12]Vitting-Seerup K Sandelin A Mol Cancer Res 2017 15 1206 1220 28584021
- [41]Punta M Nucleic Acids Res 2012 40 D290 301 22127870 PMC3245129
Cited by
Sorted by citations
Benefits and limitations of genome-wide association studies
Tam, V., Patel, N. K., Turcotte, M., Bossé, Y., Paré, G., & Meyre, D. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0127-1 · Cited by 2,092 · see citing works
The genetics of obesity: From discovery to biology
Loos, R. J. F., & Yeo, G. S. H. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-021-00414-z · Cited by 1,291 · see citing works
A brief history of human disease genetics
Claussnitzer, M., Cho, J. H., Collins, R., Cox, N. J., Dermitzakis, E. T., Hurles, M. E., Kathiresan, S., Kenny, E. E., Lindgren, C. M., MacArthur, D. G., et al. (2020) · Nature · doi:10.1038/s41586-019-1879-7 · Cited by 697 · see citing works
Establishing and regulating the composition of cilia for signal transduction
Nachury, M. V., & Mick, D. U. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0116-4 · Cited by 397 · see citing works
Masood, B., & Moorthy, M. (2023) · Clinical Medicine · doi:10.7861/clinmed.2023-0168 · Cited by 252 · see citing works
The melanocortin pathway and energy homeostasis: From discovery to obesity therapy
Yeo, G. S. H., Chao, D. H. M., Siegert, A., Koerperich, Z. M., Ericson, M. D., Simonds, S. E., Larson, C. M., Luquet, S. H., Clarke, I. J., Sharma, S. D., et al. (2021) · Molecular Metabolism · doi:10.1016/j.molmet.2021.101206 · Cited by 246 · see citing works
Genetic mapping of etiologic brain cell types for obesity
Timshel, P. N., Thompson, J. J., & Pers, T. H. (2020) · eLife · doi:10.7554/elife.55851 · Cited by 194 · see citing works
The Related Metabolic Diseases and Treatments of Obesity
Yang, M. J., Liu, S., & Zhang, C. (2022) · Healthcare · doi:10.3390/healthcare10091616 · Cited by 191 · see citing works
Unique roles of rare variants in the genetics of complex diseases in humans
Momozawa, Y., & Mizukami, K. (2021) · Journal of Human Genetics · doi:10.1038/s10038-020-00845-2 · Cited by 161 · see citing works
Trafficking of ciliary membrane proteins by the intraflagellar transport/BBSome machinery
Wingfield, J. L., Lechtreck, K.-F., & Lorentzen, E. (2018) · Essays in Biochemistry · doi:10.1042/ebc20180030 · Cited by 157 · see citing works
Genomic insights into the causes of type 2 diabetes
Langenberg, C., & Lotta, L. A. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31132-2 · Cited by 142 · see citing works
Genetic architecture of human thinness compared to severe obesity
Riveros-Mckay, F., Mistry, V., Bounds, R., Hendricks, A. E., Keogh, J. M., Thomas, H., Henning, E., Corbin, L. J., Understanding Society Scientific Group, O’Rahilly, S., et al. (2019) · PLoS Genetics · doi:10.1371/journal.pgen.1007603 · Cited by 138 · see citing works
Self-citationLoos, R. J. F. (2018) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2018.02.009 · Cited by 127 · see citing works
Physiological roles of mammalian transmembrane adenylyl cyclase isoforms
Ostrom, K. F., LaVigne, J. E., Brust, T. F., Seifert, R., Dessauer, C. W., Watts, V. J., & Ostrom, R. S. (2022) · Physiological Reviews · doi:10.1152/physrev.00013.2021 · Cited by 131 · see citing works
Helgeland, Ø., Vaudel, M., Júlíusson, P. B., Holmen, O. L., Juodakis, J., Bačelis, J., Jacobsson, B., Lindekleiv, H., Hveem, K., Lie, R. T., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12308-0 · Cited by 122 · see citing works
Host and Microbiome Genome-Wide Association Studies: Current State and Challenges
Awany, D., Allali, I., Dalvie, S., Hemmings, S. M. J., Mwaikono, K. S., Thomford, N. E., Gomez, A. M., Mulder, N., & Chimusa, E. R. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2018.00637 · Cited by 108 · see citing works
Primary Cilia as Signaling Hubs in Health and Disease
Nishimura, Y., Kasahara, K., Shiromizu, T., Watanabe, M., & Inagaki, M. (2018) · Advanced Science · doi:10.1002/advs.201801138 · Cited by 100 · see citing works
GWAS for BMI: a treasure trove of fundamental insights into the genetic basis of obesity
Speakman, J. R., Loos, R. J. F., O’Rahilly, S., Hirschhorn, J. N., & Allison, D. B. (2018) · International Journal of Obesity · doi:10.1038/s41366-018-0147-5 · Cited by 91 · see citing works
Genetics of human longevity within an eco-evolutionary nature-nurture framework
Giuliani, C., Garagnani, P., & Franceschi, C. (2018) · Circulation Research · doi:10.1161/circresaha.118.312562 · Cited by 92 · see citing works
Expression and functions of adenylyl cyclases in the CNS
Devasani, K., & Yao, Y. (2022) · Fluids and Barriers of the CNS · doi:10.1186/s12987-022-00322-2 · Cited by 93 · see citing works
Ayers, K., Glicksberg, B. S., Garfield, A., Longerich, S., White, J., Yang, P., Du, L., Chittenden, T., Gulcher, J., Roy, S., et al. (2018) · Journal of Clinical Endocrinology and Metabolism · doi:10.1210/jc.2018-00258 · Cited by 82 · see citing works
Chitre, A. S., Polesskaya, O., Holl, K., Gao, J., Cheng, R., Bimschleger, H. V., Martinez, A. G., George, T., Gileta, A. F., Han, W., et al. (2020) · Obesity · doi:10.1002/oby.22927 · Cited by 75 · see citing works
Marenne, G., Hendricks, A. E., Perdikari, A., Bounds, R., Payne, F., Keogh, J. M., Lelliott, C. J., Henning, E., Pathan, S., Ashford, S. E., et al. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.05.007 · Cited by 81 · see citing works
Self-citationWu, C.-T., Hilgendorf, K. I., Bevacqua, R. J., Hang, Y., Demeter, J., Kim, S. K., & Jackson, P. K. (2021) · Genes & Development · doi:10.1101/gad.348261.121 · Cited by 81 · see citing works
Obesity and eating behavior from the perspective of twin and genetic research
Silventoinen, K., & Konttinen, H. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.12.012 · Cited by 80 · see citing works
Structure and function of adenylyl cyclases, key enzymes in cellular signaling
Khannpnavar, B., Mehta, V., Qi, C., & Korkhov, V. (2020) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2020.03.003 · Cited by 77 · see citing works
Engle, S. E., Bansal, R., Antonellis, P. J., & Berbari, N. F. (2020) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2020.05.006 · Cited by 67 · see citing works
Genomic signatures of selection in bats surviving white‐nose syndrome
Gignoux‐Wolfsohn, S., Pinsky, M. L., Kerwin, K., Herzog, C., Hall, M., Bennett, A. B., Fefferman, N. H., & Maslo, B. (2021) · Molecular Ecology · doi:10.1111/mec.15813 · Cited by 69 · see citing works
Seriously cilia: A tiny organelle illuminates evolution, disease, and intercellular communication
Derderian, C., Canales, G., & Reiter, J. F. (2023) · Developmental Cell · doi:10.1016/j.devcel.2023.06.013 · Cited by 69 · see citing works
Genetics and epigenetics in the obesity phenotyping scenario
Trang, B. K., & Grant, S. F. A. (2023) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-023-09804-6 · Cited by 66 · see citing works
The Potential of Albuminuria as a Biomarker of Diabetic Complications
Raja, P., Maxwell, A. P., & Brazil, D. P. (2020) · Cardiovascular Drugs and Therapy · doi:10.1007/s10557-020-07035-4 · Cited by 66 · see citing works
Yi-Shen-Hua-Shi granule ameliorates diabetic kidney disease by the “gut-kidney axis”
Han, C., Shen, Z., Cui, T., Ai, S.-S., Gao, R.-R., Liu, Y., Sui, G.-Y., Hu, H., & Li, W. (2023) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2023.116257 · Cited by 60 · see citing works
Wang, L., Liu, Y., Stratigopoulos, G., Panigrahi, S. K., Sui, L., Zhang, Y., LeDuc, C. A., Glover, H. J., Rosa, M. C. D., Burnett, L. C., et al. (2021) · Journal of Clinical Investigation · doi:10.1172/jci146287 · Cited by 59 · see citing works
Nanobody-directed targeting of optogenetic tools to study signaling in the primary cilium
Hansen, J. N., Kaiser, F., Klausen, C., Stüven, B., Chong, R., Bönigk, W., Mick, D. U., Möglich, A., Jurisch‐Yaksi, N., Schmidt, F. I., et al. (2020) · eLife · doi:10.7554/elife.57907 · Cited by 55 · see citing works
Rare genetic forms of obesity: From gene to therapy
Clément, K., Mosbah, H., & Poitou, C. (2020) · Physiology & Behavior · doi:10.1016/j.physbeh.2020.113134 · Cited by 53 · see citing works
Genetics and Epigenetics in Obesity: What Do We Know so Far?
Keller, M., Svensson, S. I. A., Rohde‐Zimmermann, K., Kovacs, P. L., & Böttcher, Y. (2023) · Current Obesity Reports · doi:10.1007/s13679-023-00526-z · Cited by 51 · see citing works
Chao, Y.-Q., Jiang, Y., Zhong, M., Wei, K., Hu, C., Qin, Y., Zuo, Y., Yang, L., Shen, Z., & Zou, C. (2021) · Cell & Bioscience · doi:10.1186/s13578-021-00581-w · Cited by 49 · see citing works
Vasishta, S., Ganesh, K., Umakanth, S., & Joshi, M. B. (2022) · Metabolomics · doi:10.1007/s11306-022-01905-8 · Cited by 45 · see citing works
Epigenetic clock and DNA methylation analysis of porcine models of aging and obesity
Schachtschneider, K. M., Schook, L. B., Meudt, J. J., Shanmuganayagam, D., Zoller, J. A., Haghani, A., Li, C. Z., Zhang, J., Yang, A. X., Raj, K., et al. (2021) · GeroScience · doi:10.1007/s11357-021-00439-6 · Cited by 49 · see citing works
Jurisch‐Yaksi, N., Wachten, D., & Gopalakrishnan, J. (2024) · Trends in Neurosciences · doi:10.1016/j.tins.2024.03.004 · Cited by 50 · see citing works
Loid, P., Mustila, T., Mäkitie, R. E., Viljakainen, H. T., Kämpe, A. J., Tossavainen, P. H., Lipsanen‐Nyman, M., Pekkinen, M., & Mäkitie, O. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.00081 · Cited by 43 · see citing works
Taylor, K., Smith, G. D., Relton, C. L., Gaunt, T. R., & Richardson, T. G. (2019) · Genome Medicine · doi:10.1186/s13073-019-0613-2 · Cited by 40 · see citing works
Genetics of sexually dimorphic adipose distribution in humans
Hansen, G. T., Sobreira, D. R., Weber, Z., Thornburg, A. G., Aneas, I., Zhang, L., Sakabe, N. J., Joslin, A. C., Haddad, G. A., Strobel, S., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01306-0 · Cited by 39 · see citing works
Sazzini, M., Abondio, P., Sarno, S., Gnecchi‐Ruscone, G. A., Ragno, M., Giuliani, C., Fanti, S. D., Ojeda‐Granados, C., Boattini, A., Marquis, J., et al. (2020) · BMC Biology · doi:10.1186/s12915-020-00778-4 · Cited by 40 · see citing works
Ahluwalia, T. S., Schulz, C., Waage, J., Skaaby, T., Sandholm, N., Zuydam, N. V., Charmet, R., Bork‐Jensen, J., Almgren, P., Thuesen, B. H., et al. (2018) · Diabetologia · doi:10.1007/s00125-018-4783-z · Cited by 35 · see citing works
Self-citationAngelopoulos, I., Gakis, G., Birmpas, K., Kyrousi, C., Habeos, E. E., Kaplani, K., Lygerou, Z., Habeos, I. G., & Taraviras, S. L. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.1009125 · Cited by 36 · see citing works
Established and emerging strategies to crack the genetic code of obesity
Tam, V., Turcotte, M., & Meyre, D. (2018) · Obesity Reviews · doi:10.1111/obr.12770 · Cited by 30 · see citing works
Liu, J., Wang, L., Chen, W., Li, J., & Shan, T. (2021) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.1c02021 · Cited by 29 · see citing works
Central regulation of feeding and body weight by ciliary GPR75
Jiang, Y., Xun, Y., & Zhang, Z. (2024) · Journal of Clinical Investigation · doi:10.1172/jci182121 · Cited by 27 · see citing works
ADCY3, neuronal primary cilia and obesity
Barroso, I. (2018) · Nature Genetics · doi:10.1038/s41588-018-0043-x · Cited by 26 · see citing works
Li, Y., Haber, A., Preuß, C., Cai, J., Uyar, A., Yang, H. S., Logsdon, B. A., Philip, V. M., Karuturi, R. K. M., Carter, G. W., et al. (2021) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12140 · Cited by 26 · see citing works
Liu, Y., Dong, Y. W., Jiang, Y., Han, S., Liu, X., Xu, X., Zhu, A., Zhao, Z., Gao, Y., Zou, Y., et al. (2025) · Cell Metabolism · doi:10.1016/j.cmet.2025.01.014 · Cited by 26 · see citing works
Advancing drug discovery using the power of the human genome
Heilbron, K., Mozaffari, S. V., Vacic, V., Yue, P., Wang, W., Shi, J., Jubb, A. M., Pitts, S. J., & Wang, X. (2021) · The Journal of Pathology · doi:10.1002/path.5664 · Cited by 25 · see citing works
Genetics of metabolic traits in Greenlanders: lessons from an isolated population
Andersen, M. K., & Hansen, T. F. (2018) · Journal of Internal Medicine · doi:10.1111/joim.12814 · Cited by 27 · see citing works
Self-citationAbdel‐Halim, S. M., Madhoun, A. S. A., Nizam, R., Melhem, M., Cherian, P., Al‐Khairi, I., Haddad, D., Abu‐Farha, M., Abubaker, J. A., Bitar, M. S., et al. (2020) · Biology · doi:10.3390/biology9090244 · Cited by 25 · see citing works
Mechanisms of Weight Control by Primary Cilia
Lee, C. H., Kang, G. M., & Kim, M. (2022) · Molecules and Cells · doi:10.14348/molcells.2022.2046 · Cited by 26 · see citing works
Cold-induced expression of a truncated adenylyl cyclase 3 acts as rheostat to brown fat function
Khani, S., Topel, H., Kardinal, R., Tavanez, A. R., Josephrajan, A., Larsen, B. D., Gaudry, M. J., Leyendecker, P., Egedal, N. M., Güller, A. S., et al. (2024) · Nature Metabolism · doi:10.1038/s42255-024-01033-8 · Cited by 24 · see citing works
GPR45 modulates Gα s at primary cilia of the paraventricular hypothalamus to control food intake
Xun, Y., Jiang, Y., Xu, B., Tang, M., Ludwig, S. M., Nakamura, K., Mukhopadhyay, S., Liu, C., Beutler, B., & Zhang, Z. (2025) · Science · doi:10.1126/science.adp3989 · Cited by 26 · see citing works
Ganekal, P., Vastrad, B. M., Kavatagimath, S., Vastrad, C. M., & Kotrashetti, S. (2023) · Medicina · doi:10.3390/medicina59020309 · Cited by 24 · see citing works
Neuronal primary cilia integrate peripheral signals with metabolic drives
DeMars, K. M., Ross, M. R., Starr, A., & McIntyre, J. C. (2023) · Frontiers in Physiology · doi:10.3389/fphys.2023.1150232 · Cited by 19 · see citing works
New ADCY3 Variants Dance in Obesity Etiology
Tian, Y., Peng, B.-Q., & Fu, X. (2018) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2018.02.004 · Cited by 24 · see citing works
Clinically Effective Molecules of Natural Origin for Obesity Prevention or Treatment
Hidalgo-Lozada, G. M., Villarruel‐López, A., Nuño, K., Garcı́a, A. G., Sánchez-Nuño, Y. A., & Ramos-García, C. O. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25052671 · Cited by 25 · see citing works
Daniela Gerovska, D., & Araúzo-Bravo, M. J. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24032736 · Cited by 22 · see citing works
A novel splice-affecting HNF1A variant with large population impact on diabetes in Greenland
Thuesen, A. C. B., Stæger, F. F., Kaci, A., Solheim, M. H., Aukrust, I., Jørsboe, E., Santander, C. G., Andersen, M. K., Li, Z., Gilly, A., et al. (2022) · The Lancet Regional Health - Europe · doi:10.1016/j.lanepe.2022.100529 · Cited by 21 · see citing works
Self-citationGrarup, N., Moltke, I., Andersen, M. K., Bjerregaard, P., Larsen, C. V. L., Dahl‐Petersen, I. K., Jørsboe, E., Tiwari, H. K., Hopkins, S. E., Wiener, H. W., et al. (2018) · Diabetologia · doi:10.1007/s00125-018-4659-2 · Cited by 20 · see citing works
Self-citationChen, J., Ding, Q., An, L., & Wang, H. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.949384 · Cited by 21 · see citing works
Yao, S., Wu, H., Ding, J., Wang, Z., Ullah, T., Dong, S., Chen, H., & Guo, Y. (2021) · International Journal of Obesity · doi:10.1038/s41366-021-00780-y · Cited by 22 · see citing works
Bjerregaard, P., Larsen, C. V. L., Olesen, I., Ottendahl, C. B., Backer, V., Senftleber, N. K., Christensen, M. M. B., Larsen, T. J., Byberg, S., Hansen, T. F., et al. (2022) · International Journal of Circumpolar Health · doi:10.1080/22423982.2022.2090067 · Cited by 19 · see citing works
Self-citationJørsboe, E., Andersen, M. K., Skotte, L., Stæger, F. F., Færgeman, N. J., Hanghøj, K., Santander, C. G., Senftleber, N. K., Díaz, L. J., Overvad, M., et al. (2022) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2022.100118 · Cited by 19 · see citing works
Self-citationIacobaş, D. A., Wen, J., Iacobaş, S., Schwartz, N., & Putterman, C. (2021) · Genes · doi:10.3390/genes12020251 · Cited by 19 · see citing works
Aurora A and AKT Kinase Signaling Associated with Primary Cilia
Nishimura, Y., Yamakawa, D., Shiromizu, T., & Inagaki, M. (2021) · Cells · doi:10.3390/cells10123602 · Cited by 17 · see citing works
Medical semiology of patients with monogenic obesity: A systematic review
Renard, É., Thevenard-Berger, A., & Meyre, D. (2024) · Obesity Reviews · doi:10.1111/obr.13797 · Cited by 18 · see citing works
Timasheva, Y., Balkhiyarova, Z., & Kochetova, O. V. (2021) · Problems of Endocrinology · doi:10.14341/probl12775 · Cited by 17 · see citing works
Genetic architecture in Greenland is shaped by demography, structure and selection
Stæger, F. F., Andersen, M. K., Li, Z., Hjerresen, J. P., He, S., Santander, C. G., Jensen, R. T., Rex, K. F., Thuesen, A. C. B., Hanghøj, K., et al. (2025) · Nature · doi:10.1038/s41586-024-08516-4 · Cited by 18 · see citing works
Self-citationMolecular modelling of novel ADCY3 variant predicts a molecular target for tackling obesity
Toumba, M., Fanis, P., Vlachakis, D., Neocleous, V., Phylactou, L. A., Skordis, N., Mantzoros, C. S., & Pantelidou, M. (2021) · International Journal of Molecular Medicine · doi:10.3892/ijmm.2021.5065 · Cited by 17 · see citing works
Wang, Y., Wei, X., Wang, H., Zhang, Y., Li, P., Zhou, Y., Jiang, S., Yan, R., Chen, L., & Zhao, H. (2025) · Phytomedicine · doi:10.1016/j.phymed.2025.156882 · Cited by 16 · see citing works
Szalanczy, A., Chuang, C., & Woods, L. C. S. (2021) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2021.108928 · Cited by 17 · see citing works
Rediscovering Primary Cilia in Pancreatic Islets
Lee, E. Y., & Hughes, J. W. (2023) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2022.0442 · Cited by 17 · see citing works
Exploring Coronary Artery Disease GWAs Targets With Functional Links to Immunometabolism
Hughes, M., Lenighan, Y. M., Godson, C., & Roche, H. M. (2018) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2018.00148 · Cited by 16 · see citing works
Liu, J., Li, J., Chen, W., Xie, X., Chu, X., Valencak, T. G., Wang, Y., & Shan, T. (2021) · Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology · doi:10.1186/s40104-021-00546-6 · Cited by 15 · see citing works
Le, T. H., Crouse, W. L., Keele, G. R., Holl, K., Seshie, O., Tschannen, M., Craddock, A. L., Das, S. K., Szalanczy, A., McDonald, B., et al. (2022) · Diabetes · doi:10.2337/db22-0252 · Cited by 15 · see citing works
The Contribution of Low-Frequency and Rare Coding Variation to Susceptibility to Type 2 Diabetes
Flannick, J. A. (2019) · Current Diabetes Reports · doi:10.1007/s11892-019-1142-5 · Cited by 15 · see citing works
Powell, D. R., Doree, D. D., DaCosta, C. M., Platt, K. A., Hansen, G. M., Sligtenhorst, I. V., Ding, Z., Revelli, J., & Brommage, R. (2020) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s259546 · Cited by 14 · see citing works
Powell, D. R., Revelli, J., Doree, D. D., DaCosta, C. M., Desai, U., Shadoan, M. K., Rodriguez, L., Mullens, M., Yang, Q. M., Ding, Z., et al. (2021) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s322083 · Cited by 14 · see citing works
Applications of Functional Genomics for Drug Discovery
Kabadi, A. M., McDonnell, E., Frank, C. L., & Drowley, L. (2020) · SLAS DISCOVERY · doi:10.1177/2472555220902092 · Cited by 14 · see citing works
Obesity and climate change: co-crises with common solutions
Behrens, P., Champagne, C. M., Halford, J. C. G., Moodie, M., Proietto, J., Rutter, G. A., Samaras, K., & Holly, J. M. P. (2025) · Frontiers in Science · doi:10.3389/fsci.2025.1613595 · Cited by 13 · see citing works
Keeping pace: the primary cilium as the conducting baton of the islet
Idevall‐Hagren, O., Nilsson, C. I., & Sanchez, G. (2024) · Diabetologia · doi:10.1007/s00125-024-06096-6 · Cited by 11 · see citing works
Yang, D. J., Wu, X., Wang, W., Zhou, Y., & Wang, Z. (2021) · Advanced Science · doi:10.1002/advs.202102568 · Cited by 13 · see citing works
Adenylate cyclase 3: a potential genetic link between obesity and major depressive disorder
Fitzpatrick, M., & Woods, L. C. S. (2023) · Physiological Genomics · doi:10.1152/physiolgenomics.00056.2023 · Cited by 12 · see citing works
Zhou, Y., Ling, D., Wang, L., Xu, Z., You, W., Chen, W., Nong, Q., Valencak, T. G., & Shan, T. (2024) · Research · doi:10.34133/research.0492 · Cited by 12 · see citing works
Diabetes: discovery of insulin, genetic, epigenetic and viral infection mediated regulation
Ghosh, S., Mahalanobish, S., & Sil, P. C. (2021) · The Nucleus · doi:10.1007/s13237-021-00376-x · Cited by 12 · see citing works
The expanding landscape of genetic causes of obesity
Semenova, E., Guo, A., Liang, H., Hernandez, C. J., John, E. B., & Thaker, V. (2024) · Pediatric Research · doi:10.1038/s41390-024-03780-6 · Cited by 11 · see citing works
Sex difference in BAT thermogenesis depends on PGC-1α–mediated phospholipid synthesis in mice
Takeuchi, A., Tsujimoto, K., Aoki, J., Ikeda, K., Kono, N., Kano, K., Niitsu, Y., Horino, M., Hara, K., Okazaki, R., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-61219-w · Cited by 11 · see citing works
Chiang, C. W. K. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.643883 · Cited by 9 · see citing works
Kan, K., Guo, F., Zhu, L., Pallavi, P., Sigl, M., & Keese, M. A. (2021) · Biomedicines · doi:10.3390/biomedicines9050546 · Cited by 11 · see citing works
The BBSome: a nexus controlling energy metabolism in the brain
Blaess, S., & Wachten, D. (2021) · Journal of Clinical Investigation · doi:10.1172/jci148903 · Cited by 10 · see citing works
Lunsky, I. O., & Meyre, D. (2018) · Current Opinion in Endocrine and Metabolic Research · doi:10.1016/j.coemr.2018.10.002 · Cited by 10 · see citing works
RNA modification-related variants in genomic loci associated with body mass index
Wu, J., Wang, M., Han, L., Zhang, H., Lei, S., Zhang, Y., & Mo, X. (2022) · Human Genomics · doi:10.1186/s40246-022-00403-1 · Cited by 10 · see citing works
Trang, B. K., Pahl, M. C., Pippin, J. A., Su, C., Littleton, S. H., Sharma, P. K., Kulkarni, N. N., Ghanem, L. R., Terry, N. A., O’Brien, J. M., et al. (2025) · eLife · doi:10.7554/elife.95411.3 · Cited by 9 · see citing works
Good, D. M., Duffy, D. L., Good, M., Guo, C. X., Busfield, F., Shaw, A., & Shaw, J. T. E. (2019) · Twin Research and Human Genetics · doi:10.1017/thg.2019.13 · Cited by 10 · see citing works
- Authors
- Grarup, N., Moltke, I., Andersen, M. K., Dalby, M., Vitting-Seerup, K., Kern, T., Mahendran, Y., Jørsboe, E., Larsen, C. V. L., Dahl-Petersen, I. K., Gilly, A., Suveges, D., Dedoussis, G., Zeggini, E., Pedersen, O., Andersson, R., Bjerregaard, P., Jørgensen, M. E., Albrechtsen, A., & Hansen, T.
- Affiliations
- University of Copenhagen (DK)
- Ilisimatusarfik (GL)
- Wellcome Sanger Institute (GB)
- Harokopio University of Athens (GR)
- Corresponding author
- Jørgensen, Marit E.
- Albrechtsen, Anders
- Hansen, Torben
- ORCID
- Venue
- Nature Genetics
- Published
- 2018-01-08
- Volume
- 50
- Issue
- 2
- Pages
- 172-174
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC5828106
- OpenAlex
- W2781623981
- Cited by
- 216
- References
- 43
- Citations by year
- 2026: 18 · 2025: 20 · 2024: 28 · 2023: 24 · 2022: 18 · 2021: 31 · 2020: 46 · 2019: 12 · 2018: 19
- FWCI
- 16.83
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, other-oa)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion, other-oa)
- Funders
- Broad Institute
- Steno Diabetes Center Copenhagen (SDCC 3. B Epidemiology)
- European Commission (HORIZON2020)
- Lundbeckfonden (R215‐2015‐4174)
- Novo Nordisk (NNF16OC0019986)
- Danmarks Frie Forskningsfond (DFF-4090-00244, DFF-4181- 00383, 6108-00038B)
- Copenhagen Graduate School for Nanoscience and Nanotechnology
- Novo Nordisk Fonden (NNF16OC0019986, #NNF17OC0028136, NNF17SH0027192, NNF15SA0018486, NNFCC0018486, NNF15OC0017918)
- Simon Fougner Hartmanns Familiefond
- Novo Nordisk Foundation Center for Basic Metabolic Research
- H. Lundbeck A/S
- Medical Research Council
- Comisión de Investigaciones Científicas
- H2020 European Research Council (638173)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Keywords
- ADCY3, loss-of-function mutations, obesity, type 2 diabetes, splice acceptor site, RNA expression, Greenlandic Inuit, rare variants, disease risk
- MeSH terms
- Loss of Function Mutation, Adenylyl Cyclases, Adult, Aged, Aged, 80 and over, Diabetes Mellitus, Type 2, Inuit, Female, Gene Frequency, Genotype, Greenland, Humans, Male, Middle Aged, Obesity, Risk Factors, Cohort Studies, Case-Control Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review