The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Sex-stratified Genome-wide Association Studies Including 270,000 Individuals Show Sexual Dimorphism in Genetic Loci for Anthropometric Traits
Open accessAbstract
Given the anthropometric differences between men and women and previous evidence of sex-difference in genetic effects, we conducted a genome-wide search for sexually dimorphic associations with height, weight, body mass index, waist circumference, hip circumference, and waist-to-hip-ratio (133,723 individuals) and took forward 348 SNPs into follow-up (additional 137,052 individuals) in a total of 94 studies. Seven loci displayed significant sex-difference (FDR<5%), including four previously established (near GRB14/COBLL1, LYPLAL1/SLC30A10, VEGFA, ADAMTS9) and three novel anthropometric trait loci (near MAP3K1, HSD17B4, PPARG), all of which were genome-wide significant in women (P<5×10(-8)), but not in men. Sex-differences were apparent only for waist phenotypes, not for height, weight, BMI, or hip circumference. Moreover, we found no evidence for genetic effects with opposite directions in men versus women. The PPARG locus is of specific interest due to its role in diabetes genetics and therapy. Our results demonstrate the value of sex-specific GWAS to unravel the sexually dimorphic genetic underpinning of complex traits.
Overview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
Kumar, P., Henikoff, S., & Ng, P. C. (2009) · Nature Protocols · doi:10.1038/nprot.2009.86 · Cited by 6,521
Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001
Mokdad, A. H., Ford, E. S., Bowman, B. A., Dietz, W. H., Vinicor, F., Bales, V. S., & Marks, J. S. (2003) · JAMA · doi:10.1001/jama.289.1.76 · Cited by 5,866
Renehan, A. G., Tyson, M., Egger, M., Heller, R. F., & Zwahlen, M. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60269-x · Cited by 5,219
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
Hindorff, L. A., Sethupathy, P., Junkins, H. A., Ramos, E. M., Mehta, J. P., Collins, F. S., & Manolio, T. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903103106 · Cited by 4,013
Self-citationBiological, clinical and population relevance of 95 loci for blood lipids
Teslovich, T. M., Musunuru, K., Smith, A. V., Edmondson, A. C., Stylianou, I. M., Koseki, M., Pirruccello, J. P., Ripatti, S., Chasman, D. I., Willer, C. J., et al. (2010) · Nature · doi:10.1038/nature09270 · Cited by 3,487
Self-citationGenomic Control for Association Studies
Devlin, B., & Roeder, K. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.00997.x · Cited by 3,162 · cited 1×
“Sex-specific standard errors and P-values from each participating study were genomic-control (GC) corrected [74] using the lambda factors as published [25,29,31], then beta-estimates were meta-analyzed using the inverse-variance weighted fixed effect model as implemented in METAL [75].”
Yusuf, S., Hawken, S., Ôunpuu, S., Bautista, L., Franzosi, M. G., Commerford, P., Lang, C. C., Rumboldt, Z., Onen, C. L., Lisheng, L., et al. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67663-5 · Cited by 2,903
Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels
Saxena, R., Voight, B. F., Lyssenko, V., Burtt, N. P., de Bakker, P. I. W., Chen, H., Roix, J. J., Kathiresan, S., Hirschhorn, J. N., Daly, M. J., et al. (2007) · Science · doi:10.1126/science.1142358 · Cited by 2,843
Self-citation
Cited by
Genetic studies of body mass index yield new insights for obesity biology
Study, T. L. C., Locke, A. E., The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The, G. L. G. C., The, I. C. B. P., The MAGIC Investigators, The MuTHER Consortium, et al. (2015) · Nature · doi:10.1038/nature14177 · Cited by 4,534
Self-citationNew genetic loci link adipose and insulin biology to body fat distribution
The ADIPOGen Consortium, Shungin, D., The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The GEFOS Consortium, The GENIE Consortium, The, G. L. G. C., The, I. C. B. P., The International Endogene Consortium, Study, T. L. C., et al. (2015) · Nature · doi:10.1038/nature14132 · Cited by 1,580
Self-citationMulti-trait analysis of genome-wide association summary statistics using MTAG
23andMe Research Team, Turley, P., Social Science Genetic Association Consortium, Walters, R. K., Maghzian, O., Okbay, A., Lee, J. J., Fontana, M. A., Nguyen-Viet, T. A., Wedow, R., et al. (2018) · Nature Genetics · doi:10.1038/s41588-017-0009-4 · Cited by 1,112
Pulit, S. L., Stoneman, C., Morris, A. P., Wood, A. R., Glastonbury, C. A., Tyrrell, J., Yengo, L., Ferreira, T., Marouli, E., Ji, Y., et al. (2019) · Human Molecular Genetics · doi:10.1093/hmg/ddy327 · Cited by 1,163
Self-citationUnderstanding multicellular function and disease with human tissue-specific networks
Greene, C. S., Krishnan, A., Wong, A. K., Ricciotti, E., Zelaya, R. A., Himmelstein, D. S., Zhang, R., Hartmann, B. M., Zaslavsky, E., Sealfon, S. C., et al. (2015) · Nature Genetics · doi:10.1038/ng.3259 · Cited by 832
Metadata
- Authors
- Randall, J. C., Winkler, T. W., Kutalik, Z., Berndt, S. I., Jackson, A. U., Monda, K. L., Kilpeläinen, T. O., Esko, T., Mägi, R., Li, S., Workalemahu, T., Feitosa, M. F., Croteau-Chonka, D. C., Day, F. R., Fall, T., Ferreira, T., Gustafsson, S., Locke, A. E., Mathieson, I., Scherag, A., Vedantam, S., Wood, A. R., Liang, L., Steinthorsdottir, V., Thorleifsson, G., Dermitzakis, E. T., Dimas, A. S., Karpe, F., Min, J. L., Nicholson, G., Clegg, D. J., Person, T., Krohn, J. P., Bauer, S., Buechler, C., Eisinger, K., DIAGRAM Consortium, Bonnefond, A., Froguel, P., MAGIC Investigators, Hottenga, J.-J., Prokopenko, I., Waite, L. L., Harris, T. B., Smith, A. V., Shuldiner, A. R., McArdle, W. L., Caulfield, M. J., Munroe, P. B., Grönberg, H., Chen, Y.-D. I., Li, G., Beckmann, J. S., Johnson, T., Thorsteinsdottir, U., Teder-Laving, M., Khaw, K.-T., Wareham, N. J., Zhao, J. H., Amin, N., Oostra, B. A., Kraja, A. T., Province, M. A., Cupples, L. A., Heard-Costa, N. L., Kaprio, J., Ripatti, S., Surakka, I., Collins, F. S., Saramies, J., Tuomilehto, J., Jula, A., Salomaa, V., Erdmann, J., Hengstenberg, C., Loley, C., Schunkert, H., Lamina, C., Wichmann, H. E., Albrecht, E., Gieger, C., Hicks, A. A., Johansson, Å., Pramstaller, P. P., Kathiresan, S., Speliotes, E. K., Penninx, B., Hartikainen, A.-L., Jarvelin, M.-R., Gyllensten, U., Boomsma, D. I., Campbell, H., Wilson, J. F., Chanock, S. J., Farrall, M., Goel, A., Medina-Gomez, C., Rivadeneira, F., Estrada, K., Uitterlinden, A. G., Hofman, A., Zillikens, M. C., den Heijer, M., Kiemeney, L. A., Maschio, A., Hall, P., Tyrer, J., Teumer, A., Völzke, H., Kovacs, P., Tönjes, A., Mangino, M., Spector, T. D., Hayward, C., Rudan, I., Hall, A. S., Samani, N. J., Attwood, A. P., Sambrook, J. G., Hung, J., Palmer, L. J., Lokki, M.-L., Sinisalo, J., Boucher, G., Huikuri, H., Lorentzon, M., Ohlsson, C., Eklund, N., Eriksson, J. G., Barlassina, C., Rivolta, C., Nolte, I. M., Snieder, H., Van der Klauw, M. M., Van Vliet-Ostaptchouk, J. V., Gejman, P. V., Shi, J., Jacobs, K. B., Wang, Z., Bakker, S. J. L., Mateo Leach, I., Navis, G., van der Harst, P., Martin, N. G., Medland, S. E., Montgomery, G. W., Yang, J., Chasman, D. I., Ridker, P. M., Rose, L. M., Lehtimäki, T., Raitakari, O., Absher, D., Iribarren, C., Basart, H., Hovingh, K. G., Hyppönen, E., Power, C., Anderson, D., Beilby, J. P., Hui, J., Jolley, J., Sager, H., Bornstein, S. R., Schwarz, P. E. H., Kristiansson, K., Perola, M., Lindström, J., Swift, A. J., Uusitupa, M., Atalay, M., Lakka, T. A., Rauramaa, R., Bolton, J. L., Fowkes, G., Fraser, R. M., Price, J. F., Fischer, K., KrjutÅ¡kov, K., Metspalu, A., Mihailov, E., Langenberg, C., Luan, J., Ong, K. K., Chines, P. S., Keinanen-Kiukaanniemi, S. M., Saaristo, T. E., Edkins, S., Franks, P. W., Hallmans, G., Shungin, D., Morris, A. D., Palmer, C. N. A., Erbel, R., Moebus, S., Nöthen, M. M., Pechlivanis, S., Hveem, K., Narisu, N., Hamsten, A., Humphries, S. E., Strawbridge, R. J., Tremoli, E., Grallert, H., Thorand, B., Illig, T., Koenig, W., Müller-Nurasyid, M., Peters, A., Boehm, B. O., Kleber, M. E., März, W., Winkelmann, B. R., Kuusisto, J., Laakso, M., Arveiler, D., Cesana, G., Kuulasmaa, K., Virtamo, J., Yarnell, J. W. G., Kuh, D., Wong, A., Lind, L., de Faire, U., Gigante, B., Magnusson, P. K. E., Pedersen, N. L., Dedoussis, G., Dimitriou, M., Kolovou, G., Kanoni, S., Stirrups, K., Bonnycastle, L. L., Njølstad, I., Wilsgaard, T., Ganna, A., Rehnberg, E., Hingorani, A., Kivimaki, M., Kumari, M., Assimes, T. L., Barroso, I., Boehnke, M., Borecki, I. B., Deloukas, P., Fox, C. S., Frayling, T., Groop, L. C., Haritunians, T., Hunter, D., Ingelsson, E., Kaplan, R., Mohlke, K. L., O'Connell, J. R., Schlessinger, D., Strachan, D. P., Stefansson, K., van Duijn, C. M., Abecasis, G. R., McCarthy, M. I., Hirschhorn, J. N., Qi, L., Loos, R. J. F., Lindgren, C. M., North, K. E., & Heid, I. M.
- Venue
- PLoS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-06-06
- Volume
- 9
- Issue
- 6
- Pages
- e1003500
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- OpenAlex
- W2147774366
- Cited by
- 416
- References
- 28
- FWCI
- 23.27
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Sex-stratified Genome-wide Association Studies Including 270,000 Individuals Show Sexual Dimorphism in Genetic Loci for Anthropometric Traits. https://app.cochat.ai/papers/10.1371/journal.pgen.1003500
- The paper
- Randall, J. C., Winkler, T. W., Kutalik, Z., Berndt, S. I., Jackson, A. U., Monda, K. L., Kilpeläinen, T. O., Esko, T., Mägi, R., Li, S., Workalemahu, T., Feitosa, M. F., Croteau-Chonka, D. C., Day, F. R., Fall, T., Ferreira, T., Gustafsson, S., Locke, A. E., Mathieson, I., . . . Heid, I. M. (2013). Sex-stratified Genome-wide Association Studies Including 270,000 Individuals Show Sexual Dimorphism in Genetic Loci for Anthropometric Traits. PLoS Genetics. https://doi.org/10.1371/journal.pgen.1003500
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
