67b7df26acf1b9b5b8cead8e2397ff41 NSR_a2025v12pnwaf048.pdf d9953fbd5f789d87eefc7c077bbed8b8c32c4078 NSR_a2025v12pnwaf048.pdf 207b8c6641cb424f3894b0fc8c1c70763ac3ffa0a23925bdbf42e657057e259a NSR_a2025v12pnwaf048.pdf Title: Integrating large-scale meta-GWAS and PigGTEx resources to decipher the genetic basis of 232 complex traits in pigs Subject: DOI: 10.1093/nsr/nwaf048 National Science Review, 12, 5, 17-02-2025. Abstract: Understanding the molecular and cellular mechanisms underlying complex traits in pigs is crucial for enhancing genetic gain via artificial selection and utilizing pigs as models for human disease and biology. Here, we conducted comprehensive genome-wide association studies (GWAS) followed by a cross-breed meta-analysis for 232 complex traits and a within-breed meta-analysis for 12 traits, using 28.3 million imputed sequence variants in 70 328 animals across 14 pig breeds. We identified 6878 quantitative trait loci (QTL) for 139 complex traits. Leveraging the Pig Genotype-Tissue Expression resource, we systematically investigated the biological context and regulatory mechanisms behind these trait-QTLs, ultimately prioritizing 14 829 variant-gene-tissue-trait regulatory circuits. For instance, rs344053754 regulates UGT2B31 expression in the liver and intestines, potentially by modulating enhancer activity, ultimately influencing litter weight at weaning in pigs. Furthermore, we observed conservation of certain genetic and regulatory mechanisms underlying complex traits between humans and pigs. Overall, our cross-breed meta-GWAS in pigs provides invaluable resources and novel insights into the genetic regulatory and evolutionary mechanisms of complex traits in mammals. Keywords: pig, meta-GWAS, PigGTEx, molQTL, complex traits Author: Xu Zhiting, Lin Qing, Cai Xiaodian, Zhong Zhanming, Teng Jinyan, Li Bingjie, Zeng Haonan, Gao Yahui, Cai Zexi, Wang Xiaoqing, Shi Liangyu, Wang Xue, Wang Yi, Zhang Zipeng, Lin Yu, Liu Shuli, Yin Hongwei, Bai Zhonghao, Wei Chen, Zhou Jun, Zhang Wenjing, Zhang Xiaoke, Shi Shaolei, Wu Jun, Diao Shuqi, Liu Yuqiang, Pan Xiangchun, Feng Xueyan, Liu Ruiqi, Su Zhanqin, Chang Chengjie, Zhu Qianghui, Wu Yuwei, , Zhou Zhongyin, Bai Lijing, Li Kui, Wang Qishan, Pan Yuchun, Xu Zhong, Peng Xianwen, Mei Shuqi, Mo Delin, Liu Xiaohong, Zhang Hao, Yuan Xiaolong, Liu Yang, Liu George E., Su Guosheng, Sahana Goutam, Lund Mogens Sandø, Ma Li, Xiang Ruidong, Shen Xia, Li Pinghua, Huang Ruihua, Ballester Maria, Crespo-Piazuelo Daniel, Amills Marcel, Clop Alex, Karlskov-Mortensen Peter, Fredholm Merete, Tang Guoqing, Li Mingzhou, Li Xuewei, Ding Xiangdong, Li Jiaqi, Chen Yaosheng, Zhang Qin, Zhao Yunxiang, Zhao Fuping, Fang Lingzhao, Zhang Zhe Creator: OUP Producer: Acrobat Distiller 10.0.0 (Windows); modified using iTextSharp.LGPLv2.Core 3.7.4.0 CreationDate: Mon May 12 15:28:50 2025 CEST ModDate: Fri Feb 6 12:43:39 2026 CET Custom Metadata: yes Metadata Stream: yes Tagged: yes UserProperties: no Suspects: no Form: none JavaScript: no Pages: 17 Encrypted: no Page size: 595.276 x 782.362 pts Page rot: 0 File size: 47760578 bytes Optimized: no PDF version: 1.3 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- JGMLCI+ArnoPro-Regular Type 1C Custom yes yes yes 41 0 JGMKCM+MTSY Type 1C Custom yes yes yes 42 0 JGMDAF+HelveticaNeueLTStd-MdCn Type 1C WinAnsi yes yes no 2394 0 JGMDHE+CMSY10 Type 1C Custom yes yes yes 2395 0 JGMDAC+UniversLTStd-LightCn Type 1C Custom yes yes yes 44 0 JGMDAE+UniversLTStd-LightCnObl Type 1C WinAnsi yes yes no 45 0 JGMLBH+UniversLTStd-BoldCn Type 1C Custom yes yes yes 46 0 JGMLCK+ArnoPro-Bold Type 1C WinAnsi yes yes no 111 0 JGMLCJ+ArnoPro-Italic Type 1C Custom yes yes yes 47 0 JGMDAD+dummy-space Type 1C WinAnsi yes yes no 48 0 ZZGGHV+ArialMT TrueType WinAnsi yes yes no 1 0 JGMMNA+RMTMI Type 1C Custom yes yes yes 43 0 ArialMT Type 1C WinAnsi yes no no 249 0 JJHFCO+ArnoPro-BoldItalic Type 1C Custom yes yes yes 399 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2026-02-08 03:08:36 CET RepresentationInformation: NSR_a2025v12pnwaf048.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2026-02-07 15:16:42 CET Size: 47760578 Format: PDF Version: 1.3 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf Profile: Tagged PDF PDFMetadata: Objects: 2452 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: ViewerPreferences: HideToolbar: false HideMenubar: false HideWindowUI: false FitWindow: false CenterWindow: false DisplayDocTitle: true NonFullScreenPageMode: UseNone Direction: L2R ViewArea: CropBox ViewClip: CropBox PrintArea: CropBox PageClip: CropBox PageLayout: TwoColumn PageMode: UseOutlines Language: English Outlines: Item: Title: INTRODUCTION Destination: section*.2 Item: Title: RESULTS Destination: section*.4 Children: Item: Title: Summary of genotypes and phenotypes Destination: section*.6 Item: Title: Sharing patterns of QTL between populations revealed by meta-GWAS Destination: section*.8 Item: Title: Breed specificity and pleiotropy of QTL Destination: section*.10 Item: Title: Functional characterization of GWAS loci by integrating multi-omics data Destination: section*.12 Item: Title: Detecting trait-relevant tissues Destination: section*.14 Item: Title: Exploring shared genetic regulation of complex traits between pigs and humans Destination: section*.16 Item: Title: DISCUSSION Destination: section*.18 Item: Title: MATERIALS AND METHODS Destination: section*.20 Children: Item: Title: Data collection and processing Destination: section*.22 Item: Title: Individual GWAS and quality control Destination: section*.24 Item: Title: Meta-analysis of GWAS Destination: section*.26 Item: Title: Definition and validation of QTL Destination: section*.28 Item: Title: DATA AVAILABILITY Destination: section*.30 Item: Title: SUPPLEMENTARY DATA Destination: section*.32 Item: Title: ACKNOWLEDGEMENTS Destination: section*.34 Item: Title: FUNDING Destination: section*.36 Item: Title: AUTHOR CONTRIBUTIONS Destination: section*.38 Item: Title: REFERENCES Destination: section*.40 Info: Title: Integrating large-scale meta-GWAS and PigGTEx resources to decipher the genetic basis of 232 complex traits in pigs Author: Xu Zhiting, Lin Qing, Cai Xiaodian, Zhong Zhanming, Teng Jinyan, Li Bingjie, Zeng Haonan, Gao Yahui, Cai Zexi, Wang Xiaoqing, Shi Liangyu, Wang Xue, Wang Yi, Zhang Zipeng, Lin Yu, Liu Shuli, Yin Hongwei, Bai Zhonghao, Wei Chen, Zhou Jun, Zhang Wenjing, Zhang Xiaoke, Shi Shaolei, Wu Jun, Diao Shuqi, Liu Yuqiang, Pan Xiangchun, Feng Xueyan, Liu Ruiqi, Su Zhanqin, Chang Chengjie, Zhu Qianghui, Wu Yuwei, , Zhou Zhongyin, Bai Lijing, Li Kui, Wang Qishan, Pan Yuchun, Xu Zhong, Peng Xianwen, Mei Shuqi, Mo Delin, Liu Xiaohong, Zhang Hao, Yuan Xiaolong, Liu Yang, Liu George E., Su Guosheng, Sahana Goutam, Lund Mogens Sandø, Ma Li, Xiang Ruidong, Shen Xia, Li Pinghua, Huang Ruihua, Ballester Maria, Crespo-Piazuelo Daniel, Amills Marcel, Clop Alex, Karlskov-Mortensen Peter, Fredholm Merete, Tang Guoqing, Li Mingzhou, Li Xuewei, Ding Xiangdong, Li Jiaqi, Chen Yaosheng, Zhang Qin, Zhao Yunxiang, Zhao Fuping, Fang Lingzhao, Zhang Zhe Subject: DOI: 10.1093/nsr/nwaf048 National Science Review, 12, 5, 17-02-2025. Abstract: Understanding the molecular and cellular mechanisms underlying complex traits in pigs is crucial for enhancing genetic gain via artificial selection and utilizing pigs as models for human disease and biology. Here, we conducted comprehensive genome-wide association studies (GWAS) followed by a cross-breed meta-analysis for 232 complex traits and a within-breed meta-analysis for 12 traits, using 28.3 million imputed sequence variants in 70 328 animals across 14 pig breeds. We identified 6878 quantitative trait loci (QTL) for 139 complex traits. Leveraging the Pig Genotype-Tissue Expression resource, we systematically investigated the biological context and regulatory mechanisms behind these trait-QTLs, ultimately prioritizing 14 829 variant-gene-tissue-trait regulatory circuits. For instance, rs344053754 regulates UGT2B31 expression in the liver and intestines, potentially by modulating enhancer activity, ultimately influencing litter weight at weaning in pigs. Furthermore, we observed conservation of certain genetic and regulatory mechanisms underlying complex traits between humans and pigs. Overall, our cross-breed meta-GWAS in pigs provides invaluable resources and novel insights into the genetic regulatory and evolutionary mechanisms of complex traits in mammals. Keywords: pig, meta-GWAS, PigGTEx, molQTL, complex traits Creator: OUP Producer: Acrobat Distiller 10.0.0 (Windows); modified using iTextSharp.LGPLv2.Core 3.7.4.0 CreationDate: Mon May 12 15:58:50 CEST 2025 ModDate: Fri Feb 06 12:43:39 CET 2026 ID: 0x035cdd1b790f1812987fd08867ad2f2b, 0xecb63099f59ef82294c5bb85e07c2915 Filters: FilterPipeline: FlateDecode FilterPipeline: DCTDecode Images: Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 277 ImageHeight: 95 ColorSpace: CMYK BitsPerSample: 8 BitsPerSampleUnit: integer Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 216 ImageHeight: 103 ColorSpace: CMYK BitsPerSample: 8 BitsPerSampleUnit: integer Image: NisoImageMetadata: FormatName: image/png ImageWidth: 35 ImageHeight: 32 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 214 ImageHeight: 55 ColorSpace: CMYK BitsPerSample: 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https://doi.org/10.1093/nsr/nwaf048 © The Author(s) 2025. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. All Rights Reserved application/pdf doi:10.1093/nsr/nwaf048 © The Author(s) 2025. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Xu Zhiting Lin Qing Cai Xiaodian Zhong Zhanming Teng Jinyan Li Bingjie Zeng Haonan Gao Yahui Cai Zexi Wang Xiaoqing Shi Liangyu Wang Xue Wang Yi Zhang Zipeng Lin Yu Liu Shuli Yin Hongwei Bai Zhonghao Wei Chen Zhou Jun Zhang Wenjing Zhang Xiaoke Shi Shaolei Wu Jun Diao Shuqi Liu Yuqiang Pan Xiangchun Feng Xueyan Liu Ruiqi Su Zhanqin Chang Chengjie Zhu Qianghui Wu Yuwei Zhou Zhongyin Bai Lijing Li Kui Wang Qishan Pan Yuchun Xu Zhong Peng Xianwen Mei Shuqi Mo Delin Liu Xiaohong Zhang Hao Yuan Xiaolong Liu Yang Liu George E. Su Guosheng Sahana Goutam Lund Mogens Sandø Ma Li Xiang Ruidong Shen Xia Li Pinghua Huang Ruihua Ballester Maria Crespo-Piazuelo Daniel Amills Marcel Clop Alex Karlskov-Mortensen Peter Fredholm Merete Tang Guoqing Li Mingzhou Li Xuewei Ding Xiangdong Li Jiaqi Chen Yaosheng Zhang Qin Zhao Yunxiang Zhao Fuping Fang Lingzhao Zhang Zhe Oxford University Press DOI: 10.1093/nsr/nwaf048 National Science Review, 12, 5, 17-02-2025. Abstract: Understanding the molecular and cellular mechanisms underlying complex traits in pigs is crucial for enhancing genetic gain via artificial selection and utilizing pigs as models for human disease and biology. Here, we conducted comprehensive genome-wide association studies (GWAS) followed by a cross-breed meta-analysis for 232 complex traits and a within-breed meta-analysis for 12 traits, using 28.3 million imputed sequence variants in 70 328 animals across 14 pig breeds. We identified 6878 quantitative trait loci (QTL) for 139 complex traits. Leveraging the Pig Genotype-Tissue Expression resource, we systematically investigated the biological context and regulatory mechanisms behind these trait-QTLs, ultimately prioritizing 14 829 variant-gene-tissue-trait regulatory circuits. For instance, rs344053754 regulates UGT2B31 expression in the liver and intestines, potentially by modulating enhancer activity, ultimately influencing litter weight at weaning in pigs. Furthermore, we observed conservation of certain genetic and regulatory mechanisms underlying complex traits between humans and pigs. Overall, our cross-breed meta-GWAS in pigs provides invaluable resources and novel insights into the genetic regulatory and evolutionary mechanisms of complex traits in mammals. pig meta-GWAS PigGTEx molQTL complex traits Integrating large-scale meta-GWAS and PigGTEx resources to decipher the genetic basis of 232 complex traits in pigs Xu Zhiting, Lin Qing, Cai Xiaodian, Zhong Zhanming, Teng Jinyan, Li Bingjie, Zeng Haonan, Gao Yahui, Cai Zexi, Wang Xiaoqing, Shi Liangyu, Wang Xue, Wang Yi, Zhang Zipeng, Lin Yu, Liu Shuli, Yin Hongwei, Bai Zhonghao, Wei Chen, Zhou Jun, Zhang Wenjing, Zhang Xiaoke, Shi Shaolei, Wu Jun, Diao Shuqi, Liu Yuqiang, Pan Xiangchun, Feng Xueyan, Liu Ruiqi, Su Zhanqin, Chang Chengjie, Zhu Qianghui, Wu Yuwei, , Zhou Zhongyin, Bai Lijing, Li Kui, Wang Qishan, Pan Yuchun, Xu Zhong, Peng Xianwen, Mei Shuqi, Mo Delin, Liu Xiaohong, Zhang Hao, Yuan Xiaolong, Liu Yang, Liu George E., Su Guosheng, Sahana Goutam, Lund Mogens Sandø, Ma Li, Xiang Ruidong, Shen Xia, Li 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