相似文献
1
Genotype imputation.基因型推算
Annu Rev Genomics Hum Genet. 2009;10:387-406. doi: 10.1146/annurev.genom.9.081307.164242.
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Extending the use of GWAS data by combining data from different genetic platforms.通过整合来自不同基因平台的数据来扩展全基因组关联研究（GWAS）数据的应用。
PLoS One. 2017 Feb 28;12(2):e0172082. doi: 10.1371/journal.pone.0172082. eCollection 2017.
3
Accuracy of genome-wide imputation of untyped markers and impacts on statistical power for association studies.未分型标记的全基因组推断准确性及其对关联研究统计效能的影响。
BMC Genet. 2009 Jun 16;10:27. doi: 10.1186/1471-2156-10-27.
4
MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes.MaCH：利用序列和基因型数据来估计单倍型和未观测基因型。
Genet Epidemiol. 2010 Dec;34(8):816-34. doi: 10.1002/gepi.20533.
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Whole-genome characterization in pedigreed non-human primates using genotyping-by-sequencing (GBS) and imputation.利用简化基因组测序（GBS）和填充技术对圈养非人灵长类动物进行全基因组特征分析。
BMC Genomics. 2016 Aug 24;17(1):676. doi: 10.1186/s12864-016-2966-x.
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GIGI: an approach to effective imputation of dense genotypes on large pedigrees.GIGI：一种在大型家系中有效推断密集基因型的方法。
Am J Hum Genet. 2013 Apr 4;92(4):504-16. doi: 10.1016/j.ajhg.2013.02.011.
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Simple, rapid and accurate genotyping-by-sequencing from aligned whole genomes with ArrayMaker.使用ArrayMaker从比对的全基因组中进行简单、快速且准确的测序基因分型。
Bioinformatics. 2015 Feb 15;31(4):599-601. doi: 10.1093/bioinformatics/btu691. Epub 2014 Oct 21.
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Using family-based imputation in genome-wide association studies with large complex pedigrees: the Framingham Heart Study.在具有大型复杂家系的全基因组关联研究中使用基于家系的内插法：弗雷明汉心脏研究。
PLoS One. 2012;7(12):e51589. doi: 10.1371/journal.pone.0051589. Epub 2012 Dec 17.
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Meta-imputation: An efficient method to combine genotype data after imputation with multiple reference panels.元导入：一种利用多个参考面板对导入后的基因型数据进行合并的有效方法。
Am J Hum Genet. 2022 Jun 2;109(6):1007-1015. doi: 10.1016/j.ajhg.2022.04.002. Epub 2022 May 3.
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How to deal with the early GWAS data when imputing and combining different arrays is necessary.在需要进行 imputation 和组合不同数组时，如何处理早期 GWAS 数据。
Eur J Hum Genet. 2012 May;20(5):572-6. doi: 10.1038/ejhg.2011.231. Epub 2011 Dec 21.
引用本文的文献
1
Genome-wide association and fine-mapping analyses identify novel candidate genes affecting serum cortisol levels using imputed whole-genome sequencing data in pigs.全基因组关联和精细定位分析利用猪的推算全基因组测序数据鉴定出影响血清皮质醇水平的新候选基因。
J Anim Sci Technol. 2025 Jul;67(4):759-772. doi: 10.5187/jast.2024.e83. Epub 2025 Jul 31.
2
Accurate human genome analysis with element avidity sequencing.利用元件亲和力测序进行准确的人类基因组分析。
BMC Bioinformatics. 2025 Jul 25;26(1):194. doi: 10.1186/s12859-025-06191-4.
3
Establishing Best Practices for Clinical GWAS: Tackling Imputation and Data Quality Challenges.建立临床全基因组关联研究的最佳实践：应对基因填充和数据质量挑战。
Int J Mol Sci. 2025 Jul 3;26(13):6397. doi: 10.3390/ijms26136397.
4
Endophenotype-Informed Association Analyses for Liver Fat Accumulation and Metabolic Dysfunction in the Fels Longitudinal Study.费尔斯纵向研究中肝脂肪堆积和代谢功能障碍的内表型知情关联分析
Int J Mol Sci. 2025 May 17;26(10):4812. doi: 10.3390/ijms26104812.
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RobusTAD: reference panel based annotation of nested topologically associating domains.RobusTAD：基于参考面板的嵌套拓扑相关结构域注释
Genome Biol. 2025 May 19;26(1):129. doi: 10.1186/s13059-025-03568-9.
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Short communication: imputation accuracy of host genomic data from metagenomic sequence information.简短通讯：基于宏基因组序列信息的宿主基因组数据插补准确性
J Anim Sci. 2025 Jan 4;103. doi: 10.1093/jas/skaf175.
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Chronic kidney disease in adults with sickle cell trait: a systematic review and meta-analysis.镰状细胞性状成年患者的慢性肾脏病：一项系统评价与荟萃分析
Blood Adv. 2025 Jul 22;9(14):3644-3657. doi: 10.1182/bloodadvances.2025015920.
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PRED-LD: efficient imputation of GWAS summary statistics.PRED-LD：全基因组关联研究汇总统计数据的高效估算
BMC Bioinformatics. 2025 Apr 16;26(1):107. doi: 10.1186/s12859-025-06119-y.
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High performance imputation of structural and single nucleotide variants using low-coverage whole genome sequencing.利用低覆盖度全基因组测序对结构变异和单核苷酸变异进行高性能插补
Genet Sel Evol. 2025 Mar 28;57(1):16. doi: 10.1186/s12711-025-00962-6.
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Technical note: anomaly detection for breed purity analysis in pigs using a single breed genotype panel.技术说明：使用单一品种基因型面板进行猪品种纯度分析的异常检测
J Anim Sci. 2025 Jan 4;103. doi: 10.1093/jas/skaf083.
本文引用的文献
1
Genotype-based matching to correct for population stratification in large-scale case-control genetic association studies.在大规模病例对照基因关联研究中，基于基因型匹配以校正群体分层。
Genet Epidemiol. 2009 Sep;33(6):508-17. doi: 10.1002/gepi.20403.
2
Genome-wide scan reveals association of psoriasis with IL-23 and NF-kappaB pathways.全基因组扫描揭示银屑病与白细胞介素-23及核因子κB信号通路的关联。
Nat Genet. 2009 Feb;41(2):199-204. doi: 10.1038/ng.311. Epub 2009 Jan 25.
3
Six new loci associated with body mass index highlight a neuronal influence on body weight regulation.六个与体重指数相关的新基因座凸显了神经元对体重调节的影响。
Nat Genet. 2009 Jan;41(1):25-34. doi: 10.1038/ng.287. Epub 2008 Dec 14.
4
Loci influencing lipid levels and coronary heart disease risk in 16 European population cohorts.16个欧洲人群队列中影响血脂水平和冠心病风险的基因座
Nat Genet. 2009 Jan;41(1):47-55. doi: 10.1038/ng.269. Epub 2008 Dec 7.
5
Genome-wide association analysis of metabolic traits in a birth cohort from a founder population.对一个奠基者群体出生队列中的代谢性状进行全基因组关联分析。
Nat Genet. 2009 Jan;41(1):35-46. doi: 10.1038/ng.271. Epub 2008 Dec 7.
6
Variants in MTNR1B influence fasting glucose levels.MTNR1B基因的变异会影响空腹血糖水平。
Nat Genet. 2009 Jan;41(1):77-81. doi: 10.1038/ng.290. Epub 2008 Dec 7.
7
Common variants at 30 loci contribute to polygenic dyslipidemia.30个基因座上的常见变异导致多基因血脂异常。
Nat Genet. 2009 Jan;41(1):56-65. doi: 10.1038/ng.291. Epub 2008 Dec 7.
8
Accurate whole human genome sequencing using reversible terminator chemistry.使用可逆终止子化学法进行准确的全人类基因组测序。
Nature. 2008 Nov 6;456(7218):53-9. doi: 10.1038/nature07517.
9
Genome-wide association scan for five major dimensions of personality.全基因组关联扫描五个主要人格维度。
Mol Psychiatry. 2010 Jun;15(6):647-56. doi: 10.1038/mp.2008.113. Epub 2008 Oct 28.
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On Jim Watson's APOE status: genetic information is hard to hide.关于吉姆·沃森的载脂蛋白E（APOE）状态：基因信息难以隐瞒。
Eur J Hum Genet. 2009 Feb;17(2):147-9. doi: 10.1038/ejhg.2008.198. Epub 2008 Oct 22.
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