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罕见变异对前列腺癌遗传度的贡献。

The contribution of rare variation to prostate cancer heritability.

作者信息

Mancuso Nicholas, Rohland Nadin, Rand Kristin A, Tandon Arti, Allen Alexander, Quinque Dominique, Mallick Swapan, Li Heng, Stram Alex, Sheng Xin, Kote-Jarai Zsofia, Easton Douglas F, Eeles Rosalind A, Le Marchand Loic, Lubwama Alex, Stram Daniel, Watya Stephen, Conti David V, Henderson Brian, Haiman Christopher A, Pasaniuc Bogdan, Reich David

机构信息

Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA.

Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA.

出版信息

Nat Genet. 2016 Jan;48(1):30-5. doi: 10.1038/ng.3446. Epub 2015 Nov 16.

DOI:10.1038/ng.3446
PMID:26569126
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7534691/
Abstract

We report targeted sequencing of 63 known prostate cancer risk regions in a multi-ancestry study of 9,237 men and use the data to explore the contribution of low-frequency variation to disease risk. We show that SNPs with minor allele frequencies (MAFs) of 0.1-1% explain a substantial fraction of prostate cancer risk in men of African ancestry. We estimate that these SNPs account for 0.12 (standard error (s.e.) = 0.05) of variance in risk (∼42% of the variance contributed by SNPs with MAF of 0.1-50%). This contribution is much larger than the fraction of neutral variation due to SNPs in this class, implying that natural selection has driven down the frequency of many prostate cancer risk alleles; we estimate the coupling between selection and allelic effects at 0.48 (95% confidence interval [0.19, 0.78]) under the Eyre-Walker model. Our results indicate that rare variants make a disproportionate contribution to genetic risk for prostate cancer and suggest the possibility that rare variants may also have an outsize effect on other common traits.

摘要

我们在一项对9237名男性的多血统研究中报告了对63个已知前列腺癌风险区域的靶向测序,并利用这些数据探讨低频变异对疾病风险的贡献。我们发现,次要等位基因频率(MAF)为0.1%-1%的单核苷酸多态性(SNP)解释了非洲血统男性中相当一部分前列腺癌风险。我们估计,这些SNP占风险方差的0.12(标准误(s.e.)=0.05)(约占MAF为0.1%-50%的SNP所贡献方差的42%)。这一贡献远大于该类SNP导致的中性变异比例,这意味着自然选择降低了许多前列腺癌风险等位基因的频率;根据艾尔-沃克模型,我们估计选择与等位基因效应之间的耦合系数为0.48(95%置信区间[0.19, 0.78])。我们的结果表明,罕见变异对前列腺癌遗传风险的贡献不成比例,并提示罕见变异可能对其他常见性状也有巨大影响的可能性。

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本文引用的文献

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Rare and low-frequency variants and their association with plasma levels of fibrinogen, FVII, FVIII, and vWF.罕见和低频变异及其与纤维蛋白原、FVII、FVIII和vWF血浆水平的关联。
Blood. 2015 Sep 10;126(11):e19-29. doi: 10.1182/blood-2015-02-624551. Epub 2015 Jun 23.
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Second-generation PLINK: rising to the challenge of larger and richer datasets.第二代PLINK:应对更大、更丰富数据集的挑战
Gigascience. 2015 Feb 25;4:7. doi: 10.1186/s13742-015-0047-8. eCollection 2015.
3
Integrating functional data to prioritize causal variants in statistical fine-mapping studies.
Nat Genet. 2024 Oct;56(10):2093-2103. doi: 10.1038/s41588-024-01931-3. Epub 2024 Oct 2.
4
Genes with differential expression across ancestries are enriched in ancestry-specific disease effects likely due to gene-by-environment interactions.具有跨种族差异表达的基因在特定种族的疾病效应中富集,这可能是由于基因-环境相互作用所致。
Am J Hum Genet. 2024 Oct 3;111(10):2117-2128. doi: 10.1016/j.ajhg.2024.07.021. Epub 2024 Aug 26.
5
A method to estimate the contribution of rare coding variants to complex trait heritability.一种估计稀有编码变异对复杂性状遗传力贡献的方法。
Nat Commun. 2024 Feb 9;15(1):1245. doi: 10.1038/s41467-024-45407-8.
6
Bayesian linear mixed model with multiple random effects for family-based genetic studies.用于基于家系的基因研究的具有多个随机效应的贝叶斯线性混合模型。
Front Genet. 2023 Oct 19;14:1267704. doi: 10.3389/fgene.2023.1267704. eCollection 2023.
7
Ancestry-specific regulatory and disease architectures are likely due to cell-type-specific gene-by-environment interactions.特定祖先的调控和疾病结构可能归因于细胞类型特异性的基因与环境相互作用。
medRxiv. 2023 Oct 21:2023.10.20.23297214. doi: 10.1101/2023.10.20.23297214.
8
Heterogeneous genetic architectures and evolutionary genomics of prostate cancer in Sub-Saharan Africa.撒哈拉以南非洲地区前列腺癌的异质性遗传结构与进化基因组学
Res Sq. 2023 Oct 12:rs.3.rs-3378303. doi: 10.21203/rs.3.rs-3378303/v1.
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在统计精细定位研究中整合功能数据以对因果变异进行优先级排序。
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