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苗勒氏管异常的家族遗传因素量化分析

Quantification of the familial contribution to müllerian anomalies.

作者信息

Hammoud Ahmad O, Gibson Mark, Peterson C Matthew, Kerber Richard A, Mineau Geraldine P, Hatasaka Harry

机构信息

Division of Reproductive Endocrinology & Infertility, Department of Obstetrics & Gynecology, University of Utah School of Medicine, Salt Lake City, Utah 84132, USA.

出版信息

Obstet Gynecol. 2008 Feb;111(2 Pt 1):378-84. doi: 10.1097/01.AOG.0000267219.10869.9f.

Abstract

OBJECTIVE

To quantify the familial contribution to müllerian anomalies and determine a possible inheritance pattern.

METHODS

Cases of müllerian anomalies, identified by International Classification of Diseases and Current Procedural Terminology codes from January 1994 to March 2006, were collected from the largest hospital systems in the state of Utah. All records were subsequently matched to the Utah Population Database. Controls for this data set were randomly selected and matched based on birth year and gender. Highly specialized software "Kinship Analysis Tools (KAT)" was used for kinship analysis.

RESULTS

A total of 1,397 cases qualified for the final analysis. The kinship analysis tool identified 27 family clusters. The mean familial standardized incidence ratio was 3.43(P<.01). Using the adjusted "Population Attributable Risk," approximately 10% of cases of müllerian anomalies appear to be attributable to a familial association. The relative risk for müllerian anomalies in each class of kinship was as follows: first-degree relatives 11.6 (95% confidence interval [CI] 5.42-24.82), parents/children 8.78 (95% CI 2.26-34.16), siblings 12.98 (95% CI 5.17-32.62), first cousins 1.44 (95% CI 0.76-2.76), and second cousins 1.30 (95% CI 0.96-1.77).

CONCLUSION

Müllerian anomalies have a strong familial aggregation and follow a polygenic and multifactorial inheritance.

LEVEL OF EVIDENCE

II.

摘要

目的

量化苗勒管异常的家族性因素,并确定可能的遗传模式。

方法

通过国际疾病分类码和现行程序术语编码,从1994年1月至2006年3月在犹他州最大的医院系统中收集苗勒管异常病例。所有记录随后与犹他州人口数据库进行匹配。该数据集的对照是根据出生年份和性别随机选择并匹配的。使用高度专业化的软件“亲属关系分析工具(KAT)”进行亲属关系分析。

结果

共有1397例病例符合最终分析标准。亲属关系分析工具识别出27个家族聚集群。家族性标准化发病率比值的均值为3.43(P<0.01)。使用调整后的“人群归因风险”,约10%的苗勒管异常病例似乎可归因于家族关联。各类亲属关系中苗勒管异常的相对风险如下:一级亲属为11.6(95%置信区间[CI]5.42 - 24.82),父母/子女为8.78(95%CI 2.26 - 34.16),兄弟姐妹为12.98(95%CI 5.17 - 32.62),第一代堂兄弟姐妹为1.44(95%CI 0.76 - 2.76),第二代堂兄弟姐妹为1.30(95%CI 0.96 - 1.77)。

结论

苗勒管异常具有很强的家族聚集性,遵循多基因和多因素遗传模式。

证据水平

II级。

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