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人类出生体重与生殖免疫学:检测母体与子代杀伤细胞免疫球蛋白样受体(KIR)和HLA - C基因之间的相互作用

Human Birth Weight and Reproductive Immunology: Testing for Interactions between Maternal and Offspring KIR and HLA-C Genes.

作者信息

Clark Michelle M, Chazara Olympe, Sobel Eric M, Gjessing Håkon K, Magnus Per, Moffett Ashley, Sinsheimer Janet S

机构信息

Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA, USA.

出版信息

Hum Hered. 2016;81(4):181-193. doi: 10.1159/000456033. Epub 2017 Feb 18.

Abstract

BACKGROUND/AIMS: Maternal and offspring cell contact at the site of placentation presents a plausible setting for maternal-fetal genotype (MFG) interactions affecting fetal growth. We test hypotheses regarding killer cell immunoglobulin-like receptor (KIR) and HLA-C MFG effects on human birth weight by extending the quantitative MFG (QMFG) test.

METHODS

Until recently, association testing for MFG interactions had limited applications. To improve the ability to test for these interactions, we developed the extended QMFG test, a linear mixed-effect model that can use multi-locus genotype data from families.

RESULTS

We demonstrate the extended QMFG test's statistical properties. We also show that if an offspring-only model is fit when MFG effects exist, associations can be missed or misattributed. Furthermore, imprecisely modeling the effects of both KIR and HLA-C could result in a failure to replicate if these loci's allele frequencies differ among populations. To further illustrate the extended QMFG test's advantages, we apply the extended QMFG test to a UK cohort study and the Norwegian Mother and Child Cohort (MoBa) study.

CONCLUSION

We find a significant KIR-HLA-C interaction effect on birth weight. More generally, the QMFG test can detect genetic associations that may be missed by standard genome-wide association studies for quantitative traits.

摘要

背景/目的:胎盘形成部位的母胎细胞接触为影响胎儿生长的母胎基因型(MFG)相互作用提供了一个合理的环境。我们通过扩展定量MFG(QMFG)检验,来验证关于杀伤细胞免疫球蛋白样受体(KIR)和HLA - C基因对人类出生体重影响的假设。

方法

直到最近,MFG相互作用的关联检验应用还很有限。为了提高检验这些相互作用的能力,我们开发了扩展QMFG检验,这是一种线性混合效应模型,可使用来自家庭的多位点基因型数据。

结果

我们展示了扩展QMFG检验的统计特性。我们还表明,如果在存在MFG效应时仅拟合子代模型,可能会遗漏或错误归因关联。此外,如果这些基因座的等位基因频率在不同人群中存在差异,对KIR和HLA - C效应进行不精确建模可能导致无法重复结果。为了进一步说明扩展QMFG检验的优势,我们将扩展QMFG检验应用于一项英国队列研究和挪威母婴队列(MoBa)研究。

结论

我们发现KIR - HLA - C对出生体重有显著的相互作用效应。更普遍地说,QMFG检验可以检测到标准全基因组关联研究可能遗漏的数量性状的遗传关联。

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