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How Well Does the Family Longevity Selection Score Work: A Validation Test Using the Utah Population Database

机译:家庭寿命选择得分的效果如何:使用犹他州人口数据库的验证测试

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摘要

The Family Longevity Selection Score (FLoSS) was used to select families for the Long Life Family Study (LLFS) but has never been validated in other populations. The goal of this paper is to validate how well the FLoSS-based selection procedure works in an independent dataset. In this paper, we computed FLoSS using the lifespan data of 234,155 individuals from a large comprehensive genealogically-based resource, the Utah Population Database (UPDB), born between 1779 and 1910 with mortality follow-up through 2012–2013. Computations of FLoSS in a specific year (1980) confirmed the survival advantage of the “exceptional” sibships (defined by LLFS FLoSS threshold, FLoSS ≥ 7). We found that the subsample of the UPDB participants born after 1900 who were from the “exceptional” sibships had survival curves similar to that of the US participants from the LLFS probands' generation. Comparisons between the offspring of parents with “exceptional” and “ordinary” survival showed the survival advantage of the “exceptional” offspring. Investigators seeking to explain the extent genetics and environment contribute to exceptional survival will benefit from the use of exceptionally long-lived individuals and their relatives. Appropriate ranking of families by survival exceptionality and their availability for the purposes of providing genetic and phenotypic data is critical for selecting participants into such studies. This study validated the FLoSS as selection criteria in family longevity studies using UPDB.
机译:家庭长寿选择分数(FLoSS)用于选择长寿家庭研究(LLFS)的家庭,但从未在其他人群中得到验证。本文的目的是验证基于FLoSS的选择过程在独立数据集中的工作情况。在本文中,我们使用来自大型综合族谱资源犹他州人口数据库(UPDB)的234,155个人的寿命数据来计算FLoSS,该数据库出生于1779年至1910年之间,并进行了2012-2013年的死亡率随访。在特定年份(1980年)中对FLoSS的计算证实了“特殊”同胞的生存优势(由LLFS FLoSS阈值定义,FLoSS≥7)。我们发现,1900年以后出生的UPDB参与者的子样本来自“特殊”同居关系,其生存曲线与LLFS先证者一代的美国参与者相似。父母对具有“特殊”和“普通”存活率的后代的比较显示了“特殊”后代的生存优势。试图解释遗传和环境对异常生存的贡献的研究人员将受益于寿命长的个体及其亲属的使用。为了提供遗传和表型数据,按生存例外情况及其可用性对家庭进行适当的排名对于选择此类研究的参与者至关重要。这项研究验证了FLoSS作为使用UPDB进行的家庭寿命研究的选择标准。

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