Genome-wide association study of body fat distribution identifies adiposity loci and sex-specific genetic effects

Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482

A global reference for human genetic variation

The 1000 Genomes Project Consortium, authors, C., Auton, A., Abecasis, G. R., Steering committee, Altshuler, D. M., Durbin, R. M., Abecasis, G. R., Bentley, D. R., Chakravarti, A., et al. (2015) · Nature · doi:10.1038/nature15393 · Cited by 18,247

Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013

Ng, M., Fleming, T., Robinson, M., Thomson, B., Graetz, N., Margono, C., Mullany, E. C., Biryukov, S., Abbafati, C., Abera, S. F., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(14)60460-8 · Cited by 11,952

Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults: The evidence report

(1998) · PsycEXTRA Dataset · doi:10.1037/e565682010-001 · Cited by 9,453

Health effects of overweight and obesity in 195 countries over 25 years

Collaborators, T. G. 2. O. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1614362 · Cited by 7,918

SIFT: predicting amino acid changes that affect protein function

Ng, P. C. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg509 · Cited by 6,601

LD Score regression distinguishes confounding from polygenicity in genome-wide association studies

Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bulik-Sullivan, B. K., Loh, P.-R., Finucane, H. K., Ripke, S., Yang, J., Patterson, N., Daly, M. J., Price, A. L., & Neale, B. M. (2015) · Nature Genetics · doi:10.1038/ng.3211 · Cited by 5,559

Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants.

(2016) · The Lancet · doi:10.1016/s0140-6736(16)30054-x · Cited by 5,212

METAL: fast and efficient meta-analysis of genomewide association scans

Willer, C. J., Li, Y., & Abecasis, G. R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq340 · Cited by 5,205

Definition and diagnostic criteria of clinical obesity

Rubino, F., Cummings, D. E., Eckel, R. H., Cohen, R. V., Wilding, J. P. H., Brown, W. A., Stanford, F. C., Batterham, R. L., Farooqi, I. S., Farpour-Lambert, N. J., et al. (2025) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(24)00316-4 · Cited by 1,811

Deciphering osteoarthritis genetics across 826,690 individuals from 9 populations

Boer, C. G., Hatzikotoulas, K., Southam, L., Stefánsdóttir, L., Zhang, Y., de Almeida, R. C., Wu, T. T., Zheng, J., Hartley, A. E., Teder‐Laving, M., et al. (2021) · Cell · doi:10.1016/j.cell.2021.07.038 · Cited by 453

Body mass index and body composition in relation to 14 cardiovascular conditions in UK Biobank: a Mendelian randomization study

Larsson, S. C., Bäck, M., Rees, J. M. B., Mason, A. M., & Burgess, S. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehz388 · Cited by 436

Metabolically Healthy Obesity: Criteria, Epidemiology, Controversies, and Consequences

Tsatsoulis, A. A., & Paschou, S. Α. (2020) · Current Obesity Reports · doi:10.1007/s13679-020-00375-0 · Cited by 272

Common genetic variation influencing human white matter microstructure

Zhao, B., Li, T., Yang, Y., Wang, X., Luo, T., Shan, Y., Zhu, Z., Xiong, D., Hauberg, M. E., Bendl, J. M., et al. (2021) · Science · doi:10.1126/science.abf3736 · Cited by 222

Genetics of Obesity: What We Have Learned Over Decades of Research

Bouchard, C. (2021) · Obesity · doi:10.1002/oby.23116 · Cited by 243

Sex differences in genetic architecture in the UK Biobank

Bernabeu, E., Canela-Xandri, O., Rawlik, K., Talenti, A., Prendergast, J., & Tenesa, A. (2021) · Nature Genetics · doi:10.1038/s41588-021-00912-0 · Cited by 157

Inherited basis of visceral, abdominal subcutaneous and gluteofemoral fat depots

Agrawal, S., Wang, M., Klarqvist, M. D. R., Smith, K., Shin, J. H., Dashti, H., Diamant, N., Choi, S. H., Jurgens, S. J., Ellinor, P. T., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30931-2 · Cited by 154

Adipose tissue hyperplasia and hypertrophy in common and syndromic obesity-the case of BBS obesity

Horwitz, A., & Birk, R. (2023) · Nutrients · doi:10.3390/nu15153445 · Cited by 143

Sex Differences in Genomic Drivers of Adipose Distribution and Related Cardiometabolic Disorders

Lumish, H. S., O'Reilly, M. E., & Reilly, M. P. (2019) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.119.313154 · Cited by 129

Leptin-activated hypothalamic BNC2 neurons acutely suppress food intake

Tan, H. L., Yin, L., Tan, Y., Ivanov, J., Plucińska, K., Ilanges, A., Herb, B. R., Wang, P., Kosse, C., Cohen, P., et al. (2024) · Nature · doi:10.1038/s41586-024-08108-2 · Cited by 114

Impact of body composition on COVID-19 susceptibility and severity: A two-sample multivariable Mendelian randomization study

Freuer, D., Linseisen, J., & Meisinger, C. (2021) · Metabolism · doi:10.1016/j.metabol.2021.154732 · Cited by 103

Sex-specific genetic effects across biomarkers

Flynn, E., Tanigawa, Y., Rodríguez, F., Altman, R. B., Sinnott-Armstrong, N., & Rivas, M. A. (2020) · European Journal of Human Genetics · doi:10.1038/s41431-020-00712-w · Cited by 89

Genetics of Body Fat Distribution: Comparative Analyses in Populations with European, Asian and African Ancestries

Sun, C., Kovacs, P. L., & Guiu‐Jurado, E. (2021) · Genes · doi:10.3390/genes12060841 · Cited by 104

Precision medicine in complex diseases—Molecular subgrouping for improved prediction and treatment stratification

Johansson, Å., Andreassen, O. A., Brunak, S., Franks, P. W., Hedman, H., Loos, R. J. F., Meder, B., Melén, E., Wheelock, C. E., & Jacobsson, B. (2023) · Journal of Internal Medicine · doi:10.1111/joim.13640 · Cited by 102

Chronic stress, epigenetics, and adipose tissue metabolism in the obese state

Xiao, Y., Liu, D., Cline, M. A., & Gilbert, E. R. (2020) · Nutrition & Metabolism · doi:10.1186/s12986-020-00513-4 · Cited by 95

CADM2 is implicated in impulsive personality and numerous other traits by genome- and phenome-wide association studies in humans and mice

Sanchez‐Roige, S., Jennings, M. V., Thorpe, H. H. A., Mallari, J. E., van der Werf, L. C., Bianchi, S. B., Huang, Y., Lee, C., Mallard, T. T., Barnes, S. A., et al. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02453-y · Cited by 77

Sex hormones, intestinal inflammation, and the gut microbiome: Major influencers of the sexual dimorphisms in obesity

Brettle, H., Tran, V., Drummond, G. R., Franks, A. E., Petrovski, S., Vinh, A., & Jelinic, M. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.971048 · Cited by 81

Adiposity and sex-specific cancer risk

Rask‐Andersen, M., Ivansson, E. L., Höglund, J., Ek, W. E., Karlsson, T., & Johansson, Å. (2023) · Cancer Cell · doi:10.1016/j.ccell.2023.05.010 · Cited by 72

Sex differences in the oral microbiome, host traits, and their causal relationships

Liu, X., Tong, X., Jie, Z., Zhu, J., Tian, L., Sun, Q., Ju, Y., Zou, L., Lu, H., Qiu, X., et al. (2022) · iScience · doi:10.1016/j.isci.2022.105839 · Cited by 68

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 74

Relative contributions of sex hormones, sex chromosomes, and gonads to sex differences in tissue gene regulationPreprint

Blencowe, M., Chen, X., Zhao, Y., Itoh, Y., McQuillen, C. N., Han, Y., Shou, B. L., McClusky, R., Reue, K., Arnold, A. P., et al. (2022) · Genome Research · doi:10.1101/gr.275965.121 · Cited by 65

Phenotyping obesity: A focus on metabolically healthy obesity and metabolically unhealthy normal weight

Agius, R., Pace, N. P., & Fava, S. (2023) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3725 · Cited by 64

Sex and Gender Differences in Obesity: Biological, Sociocultural, and Clinical Perspectives

Kim, H., Kim, S., & Sung, M. (2025) · The World Journal of Men s Health · doi:10.5534/wjmh.250126 · Cited by 79

A phenome-wide comparative analysis of genetic discordance between obesity and type 2 diabetes

Coral, D., Fernandez-Tajes, J. J., Tsereteli, N., Pomares‐Millan, H., Fitipaldi, H., Mutie, P. M., Atabaki‐Pasdar, N., Kalamajski, S., Poveda, A., Miller‐Fleming, T. W., et al. (2023) · Nature Metabolism · doi:10.1038/s42255-022-00731-5 · Cited by 53

Gene–Environment Interactions on Body Fat Distribution

Li, X., & Qi, L. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20153690 · Cited by 56

The Genetic Basis of Obesity and Related Metabolic Diseases in Humans and Companion Animals

Wallis, N. J., & Raffan, E. (2020) · Genes · doi:10.3390/genes11111378 · Cited by 57

Association of life course adiposity with risk of incident dementia: a prospective cohort study of 322,336 participants

Deng, Y.-T., Li, Y.-Z., Huang, S.-Y., Ou, Y.-N., Zhang, W., Chen, S.-D., Zhang, Y.-R., Yang, L., Dong, Q., Feng, J.-F., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01604-9 · Cited by 45

GEM: scalable and flexible gene–environment interaction analysis in millions of samples

Westerman, K. E., Pham, D. T., Hong, L., Chen, Y., Sevilla-González, M. D. R., Sung, Y. J., Sun, Y. V., Morrison, A. C., Chen, H., & Manning, A. K. (2021) · Bioinformatics · doi:10.1093/bioinformatics/btab223 · Cited by 45

Heterogeneity in Obesity: Genetic Basis and Metabolic Consequences

Sulc, J., Winkler, T. W., Heid, I. M., & Kutalik, Z. (2020) · Current Diabetes Reports · doi:10.1007/s11892-020-1285-4 · Cited by 44

The ADAMTS/Fibrillin Connection: Insights into the Biological Functions of ADAMTS10 and ADAMTS17 and Their Respective Sister Proteases

Karoulias, S. Z., Taye, N., Stanley, S. A., & Hubmacher, D. (2020) · Biomolecules · doi:10.3390/biom10040596 · Cited by 44

Using deep learning to predict abdominal age from liver and pancreas magnetic resonance images

Goallec, A. L., Diai, S., Collin, S., Prost, J.-B., Vincent, T., & Patel, C. J. (2022) · Nature Communications · doi:10.1038/s41467-022-29525-9 · Cited by 45

Associations between chronotype, MTNR1B genotype and risk of type 2 diabetes in UK Biobank

Tan, X. W., Ciuculete, D. M., Schiöth, H. B., & Benedict, C. (2019) · Journal of Internal Medicine · doi:10.1111/joim.12994 · Cited by 41

The association between body fat distribution and bone mineral density: evidence from the US population

Ma, M., Liu, X., Jia, G., Geng, B., & Xia, Y. (2022) · BMC Endocrine Disorders · doi:10.1186/s12902-022-01087-3 · Cited by 40

Precision medicine of obesity as an integral part of type 2 diabetes management – past, present, and future

Szczerbiński, Ł., & Florez, J. C. (2023) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(23)00232-2 · Cited by 42

Boosted photoelectrochemical performance of In2O3 nanowires via modulating oxygen vacancies on crystal facets

Meng, M., Yang, L., Wu, X., Gan, Z., Pan, W., Liu, K., Li, C., Qin, N., & Li, J. (2020) · Journal of Alloys and Compounds · doi:10.1016/j.jallcom.2020.156311 · Cited by 40

Genetic and Epigenetic Interplay Within a COLGALT2 Enhancer Associated With Osteoarthritis

Kehayova, Y. S., Watson, E., Wilkinson, J. M., Loughlin, J. A., & Rice, S. J. (2021) · Arthritis & Rheumatology · doi:10.1002/art.41738 · Cited by 42

Identification of TBX15 as an adipose master trans regulator of abdominal obesity genes

Pan, D. Z., Miao, Z., Comenho, C., Rajkumar, S., Koka, A., Lee, S. H., Alvarez, M., Kamińska, D., Ko, A., Sinsheimer, J. S., et al. (2021) · Genome Medicine · doi:10.1186/s13073-021-00939-2 · Cited by 40

FTO Intronic SNP Strongly Influences Human Neck Adipocyte Browning Determined by Tissue and PPARγ Specific Regulation: A Transcriptome Analysis

Tóth, B. B., Arianti, R., Shaw, A., Vámos, A., Veréb, Z., Póliska, S., Győry, F., Bacsó, Z., Fésüs, L., & Kristóf, E. (2020) · Cells · doi:10.3390/cells9040987 · Cited by 41

Are the Properties of Bone Marrow-Derived Mesenchymal Stem Cells Influenced by Overweight and Obesity?

Zong, Q., Bundkirchen, K., Neunaber, C., & Noack, S. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24054831 · Cited by 38

The Role of Genetic Variation of BMI, Body Composition, and Fat Distribution for Mental Traits and Disorders: A Look-Up and Mendelian Randomization Study

Peters, T., Nüllig, L., Antel, J., Naaresh, R., Laabs, B., Tegeler, L., Amhaouach, C., Libuda, L., Hinney, A., & Hebebrand, J. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.00373 · Cited by 36

Genetically predicted physical activity levels are associated with lower colorectal cancer risk: a Mendelian randomisation study

Zhang, X., Τheodoratou, E., Li, X., Farrington, S. M., Law, P., Broderick, P., Walker, M., Klimentidis, Y. C., Rees, J. M. B., Houlston, R. S., et al. (2021) · British Journal of Cancer · doi:10.1038/s41416-020-01236-2 · Cited by 36

Your height affects your health: genetic determinants and health-related outcomes in Taiwan

Chiou, J., Cheng, C., Liang, W., Chou, C.-H., Wang, C., Lin, W., Chiu, M.-L., Cheng, W., Lin, C., Lin, T., et al. (2022) · BMC Medicine · doi:10.1186/s12916-022-02450-w · Cited by 35

Causal effect of adiposity on the risk of 19 gastrointestinal diseases: a Mendelian randomization study

Kim, M. S., Song, M., Kim, S., Kim, B., Kang, W., Kim, J. Y., Myung, W., Lee, I., Do, R., Khera, A. V., et al. (2023) · Obesity · doi:10.1002/oby.23722 · Cited by 33

Body Fat Distribution and Risk of Breast, Endometrial, and Ovarian Cancer: A Two-Sample Mendelian Randomization Study

Freuer, D., Linseisen, J., O’Mara, T. A., Leitzmann, M. F., Baurecht, H., Baumeister, S., & Meisinger, C. (2021) · Cancers · doi:10.3390/cancers13205053 · Cited by 29

Identification of lncRNAs and Genes Responsible for Fatness and Fatty Acid Composition Traits between the Tibetan and Yorkshire Pigs

Shang, P., Li, W., Liu, G., Zhang, J., Li, M., Wu, L., Wang, K., & Chamba, Y. (2019) · International Journal of Genomics · doi:10.1155/2019/5070975 · Cited by 28

AKR1C2 and AKR1C3 expression in adipose tissue: Association with body fat distribution and regulatory variants

Ostinelli, G., Vijay, J., Vohl, M., Grundberg, E., & Tchernof, A. (2021) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2021.111220 · Cited by 28

Novel genetic loci associated with osteoarthritis in multi-ancestry analyses in the Million Veteran Program and UK Biobank

McDonald, M., Kumar, P. L., Srinivasasainagendra, V., Nair, A., Rocco, A., Wilson, A. C., Chiles, J. W., Richman, J., Pinson, S. A., Dennis, R. A., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01221-w · Cited by 27

Defining type 2 diabetes polygenic risk scores through colocalization and network-based clustering of metabolic trait genetic associations

Ghatan, S., van Rooij, J., van Hoek, M., Boer, C. G., Felix, J. F., Kavousi, M., Jaddoe, V. W. V., Sijbrands, E. J. G., Medina‐Gómez, C., Rivadeneira, F., et al. (2024) · Genome Medicine · doi:10.1186/s13073-023-01255-7 · Cited by 29

Deep learning and genome-wide association meta-analyses of bone marrow adiposity in the UK Biobank

Xu, W., Mesa‐Eguiagaray, I., Morris, D. M., Wang, C., Gray, C. D., Sjöström, S., Papanastasiou, G., Badr, S., Paccou, J., Li, X., et al. (2025) · Nature Communications · doi:10.1038/s41467-024-55422-4 · Cited by 28

The current review of adolescent obesity: the role of genetic factors

Yılmaz, B., & Karadağ, M. G. (2020) · Journal of Pediatric Endocrinology and Metabolism · doi:10.1515/jpem-2020-0480 · Cited by 27

Adherence to a healthy lifestyle, genetic susceptibility to abdominal obesity, cardiometabolic risk markers, and risk of coronary heart disease

Wang, M., Yeung, S. L. A., Luo, S., Jang, H., Ho, H. S., Sharp, S. J., Wijndaele, K., Brage, S., Wareham, N. J., & Kim, Y. (2023) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2023.08.002 · Cited by 24

Genome-wide association study of a lipedema phenotype among women in the UK Biobank identifies multiple genetic risk factors

Klimentidis, Y. C., Zhao, C., Gonzalez‐Garay, M. L., Grigoriadis, D., Sackey, E., Pittman, A. M., Østergaard, P., & Herbst, K. L. (2022) · European Journal of Human Genetics · doi:10.1038/s41431-022-01231-6 · Cited by 23

Causal associations of obesity related anthropometric indicators and body compositions with knee and hip arthritis: A large-scale genetic correlation study

Wang, C., Zhu, Y., Liu, Z., Long, H., Ruan, Z., & Zhao, S. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.1011896 · Cited by 24

Implication of genetic variants in overweight and obesity susceptibility among the young Arab population of the United Arab Emirates

Chehadeh, S. E. H., Osman, W. M., Nazar, S., JERMAN, L. A., Alghafri, A., Sajwani, A., Alawlaqi, M., AlObeidli, M., Jelinek, H. F., Anouti, F. A., et al. (2020) · Gene · doi:10.1016/j.gene.2020.144509 · Cited by 23

Aging and Adiposity—Focus on Biological Females at Midlife and Beyond

Rehman, A., Lathief, S., Charoenngam, N., & Pal, L. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25052972 · Cited by 24

DNA methylation profiling at base-pair resolution reveals unique epigenetic features of early-onset colorectal cancer in underrepresented populations

Li, J. S., Riggins, K. S., Yang, L., Chen, C., Castro, P., Alfarkh, W., Zarrin‐Khameh, N., Scheurer, M. E., Creighton, C. J., Musher, B., et al. (2025) · Clinical Epigenetics · doi:10.1186/s13148-025-01817-z · Cited by 20

Limited evidence for blood eQTLs in human sexual dimorphism

Porcu, E., Claringbould, A., Weihs, A., Lepik, K., Richardson, T. G., Völker, U., Santoni, F. A., Teumer, A., Franke, L., Reymond, A., et al. (2022) · Genome Medicine · doi:10.1186/s13073-022-01088-w · Cited by 21

Can the body mass index influence the skin temperature of adolescents assessed by infrared thermography?

Reis, H. H. T., Brito, C. J., Sillero‐Quintana, M., da Silva, A. G., Fernández-Cuevas, I., Cerqueira, M. S., Werneck, F. Z., & Marins, J. C. B. (2022) · Journal of Thermal Biology · doi:10.1016/j.jtherbio.2022.103424 · Cited by 20

Proteomic analysis of serum extracellular vesicles reveals Fibulin-3 as a new marker predicting liver-related events in MASLD

Sakane, S., Hikita, H., Shirai, K., Sakamoto, T., Narumi, R., Adachi, J., Kakita, N., Yamada, Y., Toyoda, H., Takahashi, H., et al. (2024) · Hepatology Communications · doi:10.1097/hc9.0000000000000448 · Cited by 20

Rare Variant Analysis of Obesity-Associated Genes in Young Adults With Severe Obesity From a Consanguineous Population of Pakistan

Saeed, S., Janjua, Q. M., Haseeb, A., Khanam, R., Durand, E., Vaillant, E., Ning, L., Badreddine, A., Berberian, L., Boissel, M., et al. (2022) · Diabetes · doi:10.2337/db21-0373 · Cited by 20

Polymorphism rs143384 GDF5 reduces the risk of knee osteoarthritis development in obese individuals and increases the disease risk in non-obese population

Борисович, Н. В., Николаевна, Н. О., Churnosova, M., Aristova, I., Ponomarenko, M., Reshetnikova, Y., Churnosov, V., Николаевна, С. И., Ponomarenko, I., Efremova, O. A., et al. (2024) · Arthroplasty · doi:10.1186/s42836-023-00229-9 · Cited by 21

Phenome-wide and expression quantitative trait locus associations of coronavirus disease 2019 genetic risk loci

Moon, C. Y., Schilder, B. M., Raj, T., & Huang, K. (2021) · iScience · doi:10.1016/j.isci.2021.102550 · Cited by 16

Genetic association of the PERIOD3 (PER3) Clock gene with extreme obesity

de Azevedo, P. G., Miranda, L. R., Nicolau, E., Alves, R. B., Bicalho, M. A. C., Couto, P. P., Ramos, A. V., de Souza, R. P., Longhi, R., Friedman, E., et al. (2021) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2021.06.006 · Cited by 16

A scalable and robust variance components method reveals insights into the architecture of gene-environment interactions underlying complex traits

Pazokitoroudi, A., Liu, Z., Dahl, A., Zaitlen, N., Rosset, S., & Sankararaman, S. (2024) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2024.05.015 · Cited by 15

Age-specific effects of weight-based body size on fracture risk in later life: a lifecourse Mendelian randomisation study

Power, G. M., Tobias, J. H., Frayling, T. M., Tyrrell, J., Hartley, A. E., Heron, J., Smith, G. D., & Richardson, T. G. (2023) · European Journal of Epidemiology · doi:10.1007/s10654-023-00986-6 · Cited by 15

The evolutionary impact and influence of oestrogens on adipose tissue structure and function

Bardhi, O., Palmer, B. F., & Clegg, D. J. (2023) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2022.0207 · Cited by 15

A Genome-Wide Association Study of Novel Genetic Variants Associated With Anthropometric Traits in Koreans

Cho, H., Jin, H., & Eom, Y. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.669215 · Cited by 14

The causal effect of life course adiposity on periodontitis: A Mendelian randomization study

Li, W., He, Y., Zheng, Q., & Deng, X. (2022) · Journal of Periodontology · doi:10.1002/jper.21-0632 · Cited by 15

Genetic Mapping of Multiple Traits Identifies Novel Genes for Adiposity, Lipids, and Insulin Secretory Capacity in Outbred Rats

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 16

Genetic Basis of Obesity and Type 2 Diabetes in Africans: Impact on Precision Medicine

Doumatey, A. P., Ekoru, K., Adeyemo, A., & Rotimi, C. N. (2019) · Current Diabetes Reports · doi:10.1007/s11892-019-1215-5 · Cited by 16

Mediation role of body fat distribution (FD) on the relationship between CAV1 rs3807992 polymorphism and metabolic syndrome in overweight and obese women

Abaj, F., Saeedy, S. A. G., & Mirzaei, K. (2021) · BMC Medical Genomics · doi:10.1186/s12920-021-01050-6 · Cited by 15

Can adult polygenic scores improve prediction of body mass index in childhood?

Lange, K., Kerr, J. A., Mansell, T., O'Sullivan, J. M., Burgner, D. P., Clifford, S. A., Olds, T., Dwyer, T., Wake, M. A., & Saffery, R. (2022) · International Journal of Obesity · doi:10.1038/s41366-022-01130-2 · Cited by 16

Beyond apples and pears: sex-specific genetics of body fat percentage

Roshandel, D., Lu, T., Paterson, A. D., & Dash, S. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1274791 · Cited by 15

The Fat-to-Lean Mass Ratio Is Associated with Hyperinsulinemia in Healthy Mexican Adolescents

Gamboa‐Gómez, C. I., Guerrero‐Romero, F., Aradillas-García, C., Rodríguez‐Morán, M., & Simental‐Mendía, L. E. (2020) · Journal of the American College of Nutrition · doi:10.1080/07315724.2020.1752845 · Cited by 14

Causal associations between urinary sodium with body mass, shape and composition: a Mendelian randomization study

Feng, Q., Yuan, S., Yang, Q., Lu, Y., Loos, R. J. F., Li, G. H., Fei, Y., Tsoi, M. F., Cheung, C. L., & Cheung, B. M. Y. (2020) · Scientific Reports · doi:10.1038/s41598-020-74657-x · Cited by 14

Genome-wide association study of neck circumference identifies sex-specific loci independent of generalized adiposity

Liu, Y., Zhang, X., Lee, J., Smelser, D. T., Cade, B. E., Chen, H., Zhou, H., Kirchner, H. L., Lin, X., Mukherjee, S., et al. (2021) · International Journal of Obesity · doi:10.1038/s41366-021-00817-2 · Cited by 13

Causal Effect of Adiposity Measures on Blood Pressure Traits in 2 Urban Swedish Cohorts: A Mendelian Randomization Study

Giontella, A., Lotta, L. A., Overton, J. D., Baras, A., Minuz, P., Melander, O., Gill, D., & Fava, C. (2021) · Journal of the American Heart Association · doi:10.1161/jaha.120.020405 · Cited by 11

Distinct phenotypic characteristics of normal-weight adults at risk of developing cardiovascular and metabolic diseases

Stanley, A., Schuna, J. M., Yang, S., Kennedy, S., Heo, M., Wong, M. C., Shepherd, J., & Heymsfield, S. B. (2020) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqaa194 · Cited by 13

Discovery Genome-Wide Association Study of Body Composition in 4,386 Adults From the UK Biobank’s Pilot Imaging Enhancement Study

Livingstone, K. M., Tan, M. H., Abbott, G., Duckham, R. L., Croft, L., Ward, J., McEvoy, M., Keske, M. A., Austin, C. M., & Bowe, S. J. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.692677 · Cited by 13

Identification of Scd5 as a functional regulator of visceral fat deposition and distribution

Zhang, Q., Sun, S., Zhang, Y., Wang, X., & Li, Q. (2022) · iScience · doi:10.1016/j.isci.2022.103916 · Cited by 13

A functional genomic framework to elucidate novel causal metabolic dysfunction–associated fatty liver disease genes

Saliba‐Gustafsson, P., Justesen, J. M., Ranta, A., Sharma, D., Bielczyk-Maczyńska, E., Li, J., Najmi, L. A., Apodaka‐Biguri, M., Aspichueta, P., Björck, H. M., et al. (2024) · Hepatology · doi:10.1097/hep.0000000000001066 · Cited by 13

LCoRL Regulates Growth and Metabolism

Wyler, S. C., Gahlot, S., Bideyan, L., Yip, C., Dushime, J., Chen, B., Lee, J. J., Tinajero, A., Limboy, C., Bordash, S., et al. (2024) · Endocrinology · doi:10.1210/endocr/bqae146 · Cited by 14

Pitfalls in performing genome-wide association studies on ratio traits

McCaw, Z. R., Dey, R., Somineni, H., Amar, D., Mukherjee, S., Sandor, K. P., Karaletsos, T., Koller, D., Aschard, H., Smith, G. D., et al. (2025) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2025.100406 · Cited by 14

Breathlessness across generations: results from the RHINESSA generation study

Ekström, M. P., Johannessen, A., Abramson, M. J., Benediktsdóttir, B., Franklin, K. A., Gíslason, Þ., Real, F. G., Holm, M., Janson, C., Jögi, R., et al. (2021) · Thorax · doi:10.1136/thoraxjnl-2021-217271 · Cited by 13

Causal associations between body fat accumulation and COVID-19 severity: A Mendelian randomization study

Yoshiji, S., Tanaka, D., Minamino, H., Lu, T., Butler‐Laporte, G., Murakami, T., Fujita, Y., Richards, J. B., & Inagaki, N. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.899625 · Cited by 11

Genome-wide association studies (GWAS) and post-GWAS analyses of impulsivity: A systematic review

Wang, J., Gu, R., Kong, X., Luan, S., & Luo, Y. L. L. (2024) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2024.110986 · Cited by 11

Exploring the interplay of genetic variants and environmental factors in childhood obesity: A systematic review and meta-analysis

Zhu, H., Yi, X., He, M., Wu, S., Li, M., & Gao, S. (2025) · Metabolism · doi:10.1016/j.metabol.2025.156303 · Cited by 12

Shared genetic influences on resting‐state functional networks of the brain

Guimaraes, J., Sprooten, E., Beckmann, C. F., Franke, B., & Bralten, J. (2022) · Human Brain Mapping · doi:10.1002/hbm.25712 · Cited by 9

Non-coding RNA network associated with obesity and rheumatoid arthritis

Auer, E. D., Santos, D. D. C., de Lima, I. J. V., & Boldt, A. B. W. (2022) · Immunobiology · doi:10.1016/j.imbio.2022.152281 · Cited by 11

Amplitudes of resting-state functional networks – investigation into their correlates and biophysical properties

Lee, S., Bijsterbosch, J. D., Alfaro‐Almagro, F., Elliott, L. T., McCarthy, P., Taschler, B., Sala‐Llonch, R., Beckmann, C. F., Duff, E. P., Smith, S. M., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119779 · Cited by 13

Candidate genes under selection in song sparrows co-vary with climate and body mass in support of Bergmann’s Rule

Carbeck, K., Arcese, P., Lovette, I., Pruett, C., Winker, K., & Walsh, J. (2023) · Nature Communications · doi:10.1038/s41467-023-42786-2 · Cited by 10

Analysis of Tks4 Knockout Mice Suggests a Role for Tks4 in Adipose Tissue Homeostasis in the Context of Beigeing

Vas, V., Háhner, T., Kudlik, G., Ernszt, D., Kvell, K., Kuti, D., Kovács, K., Tóvári, J., Trexler, M., Merő, B. L., et al. (2019) · Cells · doi:10.3390/cells8080831 · Cited by 11

Irisin and markers of metabolic derangement in non-diabetic Caucasian subjects with stage I-II obesity during early aging

Campolo, J., Corradi, E., Rizzardi, A., Parolini, M., Dellanoce, C., Guglielmo, M. D. D., Tarlarini, P., Cattaneo, M., Trivella, M., & Maria, R. D. (2020) · PLoS ONE · doi:10.1371/journal.pone.0229152 · Cited by 10

Identification of Genetic Variants for Female Obesity and Evaluation of the Causal Role of Genetically Defined Obesity in Polycystic Ovarian Syndrome

Ahn, Y., Lee, H., & Cho, Y. S. (2020) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s281529 · Cited by 11

Tejaas: reverse regression increases power for detecting trans-eQTLs

Banerjee, S., Simonetti, F. L., Detrois, K. E., Kaphle, A., Mitra, R., Nagial, R., & Söding, J. (2021) · Genome biology · doi:10.1186/s13059-021-02361-8 · Cited by 11

Structural variants and tandem repeats in the founder individuals of four F2 pig crosses and implications to F2 GWAS results

Blaj, I., Tetens, J., Bennewitz, J., Thaller, G. E., & Falker‐Gieske, C. (2022) · BMC Genomics · doi:10.1186/s12864-022-08716-0 · Cited by 10

Illuminating the ‘healthy obese’ phenotype

Rask‐Andersen, M., & Johansson, Å. (2023) · Nature Metabolism · doi:10.1038/s42255-022-00733-3 · Cited by 10

Sex Disparities in Obesity: A Comprehensive Review of Hormonal and Genetic Influences on Obesity‐Related Phenotypes

Lee, Y., Kang, Y.-R., Chang, Y., Kim, J., & Sung, M. (2025) · Obesity Reviews · doi:10.1111/obr.70026 · Cited by 13

Body composition and testosterone in men: a Mendelian randomization study

Ikehata, Y., Hachiya, T., Kobayashi, T., Ide, H., & Horie, S. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1277393 · Cited by 12

Genome-Wide Association Study of Body Fat Distribution identifies Novel Adiposity Loci and Sex-Specific Genetic EffectsPreprint

Rask‐Andersen, M., Karlsson, T., Ek, W. E., & Johansson, Å. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/207498

Genomics of body fat distribution

Saini, S., Walia, G. K., SACHDEVA, M. P., & Gupta, V. (2021) · Journal of Genetics · doi:10.1007/s12041-021-01281-7 · Cited by 6

Beyond apples and pears: sex-specific genetics of body fat percentage

Roshandel, D., Lu, T., Paterson, A. D., & Dash, S. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1274791 · Cited by 15

Meta-analysis of genome-wide association studies for body fat distribution in 694,649 individuals of European ancestryPreprint

Pulit, S. L., Harlow, C. E., Morris, A. P., Wood, A. R., Glastonbury, C. A., Tyrrell, J., Yengo, L., Ferreira, T. C., Marouli, E., Ji, Y., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/304030 · Cited by 109

Sexual dimorphisms in genetic loci linked to body fat distribution

Pulit, S. L., Karaderi, T., & Lindgren, C. M. (2017) · Bioscience Reports · doi:10.1042/bsr20160184 · Cited by 82