非洲人口中主要口面裂表型之间的共同遗传风险

IF 1.7 4区 医学 Q3 GENETICS & HEREDITY
Azeez Alade, Tabitha Peter, Tamara Busch, Waheed Awotoye, Deepti Anand, Oladayo Abimbola, Emmanuel Aladenika, Mojisola Olujitan, Oscar Rysavy, Phuong Fawng Nguyen, Thirona Naicker, Peter A. Mossey, Lord J. J. Gowans, Mekonen A. Eshete, Wasiu L. Adeyemo, Erliang Zeng, Eric Van Otterloo, Michael O'Rorke, Adebowale Adeyemo, Jeffrey C. Murray, Salil A. Lachke, Paul A. Romitti, Azeez Butali
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引用次数: 0

摘要

非综合征口面裂(NSOFCs)在所有口面裂中占很大比例(70%-80%)。它们可大致分为伴有或不伴有腭裂的非综合征唇裂(NSCL/P)和仅伴有腭裂的非综合征唇裂(NSCPO)。虽然 NSCL/P 和 NSCPO 在病因学上被认为是不同的,但最近的证据表明它们存在共同的遗传风险。因此,我们利用非洲 NSOFCs 全基因组关联研究(GWAS)数据调查了 NSCL/P 和 NSCPO 之间的遗传重叠。这些数据包括 814 例 NSCL/P、205 例 NSCPO 和 2159 例无关对照。在加性遗传模型下,我们为每种表型(NSCL/P 和 NSCPO)分别生成了常见单核苷酸变体(SNVs)关联汇总统计。随后,我们采用复合无效(PLACO)方法下的多向分析来检验遗传重叠。我们的分析确定了两个具有全基因组意义的位点(rs181737795 [p = 2.58E-08] 和 rs2221169 [p = 4.5E-08])和一个具有边缘意义的位点(rs187523265 [p = 5.22E-08])。利用小鼠转录组学数据和遗传表型数据库的信息,我们确定 MDN1、MAP3k7、KMT2A、ARCN1 和 VADC2 为相关 SNV 的顶级候选基因。这些发现加深了我们对与 NSOFCs 相关的遗传变异的理解,并确定了有待进一步探索的潜在候选基因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Shared genetic risk between major orofacial cleft phenotypes in an African population

Shared genetic risk between major orofacial cleft phenotypes in an African population

Nonsyndromic orofacial clefts (NSOFCs) represent a large proportion (70%–80%) of all OFCs. They can be broadly categorized into nonsyndromic cleft lip with or without cleft palate (NSCL/P) and nonsyndromic cleft palate only (NSCPO). Although NSCL/P and NSCPO are considered etiologically distinct, recent evidence suggests the presence of shared genetic risks. Thus, we investigated the genetic overlap between NSCL/P and NSCPO using African genome-wide association study (GWAS) data on NSOFCs. These data consist of 814 NSCL/P, 205 NSCPO cases, and 2159 unrelated controls. We generated common single-nucleotide variants (SNVs) association summary statistics separately for each phenotype (NSCL/P and NSCPO) under an additive genetic model. Subsequently, we employed the pleiotropic analysis under the composite null (PLACO) method to test for genetic overlap. Our analysis identified two loci with genome-wide significance (rs181737795 [p = 2.58E−08] and rs2221169 [p = 4.5E−08]) and one locus with marginal significance (rs187523265 [p = 5.22E−08]). Using mouse transcriptomics data and information from genetic phenotype databases, we identified MDN1, MAP3k7, KMT2A, ARCN1, and VADC2 as top candidate genes for the associated SNVs. These findings enhance our understanding of genetic variants associated with NSOFCs and identify potential candidate genes for further exploration.

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来源期刊
Genetic Epidemiology
Genetic Epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
4.40
自引率
9.50%
发文量
49
审稿时长
6-12 weeks
期刊介绍: Genetic Epidemiology is a peer-reviewed journal for discussion of research on the genetic causes of the distribution of human traits in families and populations. Emphasis is placed on the relative contribution of genetic and environmental factors to human disease as revealed by genetic, epidemiological, and biologic investigations. Genetic Epidemiology primarily publishes papers in statistical genetics, a research field that is primarily concerned with development of statistical, bioinformatical, and computational models for analyzing genetic data. Incorporation of underlying biology and population genetics into conceptual models is favored. The Journal seeks original articles comprising either applied research or innovative statistical, mathematical, computational, or genomic methodologies that advance studies in genetic epidemiology. Other types of reports are encouraged, such as letters to the editor, topic reviews, and perspectives from other fields of research that will likely enrich the field of genetic epidemiology.
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