Efficient replication of over 180 genetic associations with self-reported medical data.

Efficient replication of over 180 genetic associations with self-reported medical data.
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DOI:
10.1371/journal.pone.0023473
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发表时间:
2011
期刊:
影响因子:
3.7
通讯作者:
Eriksson N
Eriksson N
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Tung JY;Do CB;Hinds DA;Kiefer AK;Macpherson JM;Chowdry AB;Francke U;Naughton BT;Mountain JL;Wojcicki A;Eriksson N

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虽然基因组数据的生成成本和速度近年来大幅下降,但为大群组收集医疗数据的缓慢速度继续阻碍着基因研究。在这里,我们评估了一种新的在线框架,用于从可重新联系的队列中获得大量医学信息,方法是评估我们使用这些数据复制遗传关联的能力。使用基于网络的问卷调查,我们收集了50个医学表型的自我报告数据,这些数据来自通常未被选中的20,000多个基因分型个体。在NHGRI整理的遗传关联列表中,我们成功复制了约75%我们预期的关联(基于我们队列中的病例数量和报告的优势比,排除了一组与已发表证据相互矛盾的关联)。我们总共重复了180多个先前报道的关联,其中包括许多与2型糖尿病、前列腺癌、胆固醇水平和多发性硬化症有关的因素。我们发现,在不同的疾病类别中,我们能够复制的预期关联的百分比存在显著差异,这可能反映了一些初始报告中影响的系统性膨胀,或者反映了不同疾病在误诊或误报可能性方面的差异。我们还展示了,我们可以通过利用可重新联系的队列,提供更深入的问题来完善自我报告的诊断,从而提高复制成功率。我们的数据表明,从可重新联系的队列中在线收集自我报告的数据可能是在大量人群中广泛和深入进行表型鉴定的可行方法。
While the cost and speed of generating genomic data have come down dramatically in recent years, the slow pace of collecting medical data for large cohorts continues to hamper genetic research. Here we evaluate a novel online framework for obtaining large amounts of medical information from a recontactable cohort by assessing our ability to replicate genetic associations using these data. Using web-based questionnaires, we gathered self-reported data on 50 medical phenotypes from a generally unselected cohort of over 20,000 genotyped individuals. Of a list of genetic associations curated by NHGRI, we successfully replicated about 75% of the associations that we expected to (based on the number of cases in our cohort and reported odds ratios, and excluding a set of associations with contradictory published evidence). Altogether we replicated over 180 previously reported associations, including many for type 2 diabetes, prostate cancer, cholesterol levels, and multiple sclerosis. We found significant variation across categories of conditions in the percentage of expected associations that we were able to replicate, which may reflect systematic inflation of the effects in some initial reports, or differences across diseases in the likelihood of misdiagnosis or misreport. We also demonstrated that we could improve replication success by taking advantage of our recontactable cohort, offering more in-depth questions to refine self-reported diagnoses. Our data suggest that online collection of self-reported data from a recontactable cohort may be a viable method for both broad and deep phenotyping in large populations.
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发表时间: 2009-02
期刊: Nature genetics
影响因子: 30.8
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期刊: PloS one
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通讯作者: Evangelou E
DOI: 10.1002/art.23086
发表时间: 2007-12-15
期刊: ARTHRITIS & RHEUMATISM-ARTHRITIS CARE & RESEARCH
影响因子: --
作者:
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发表时间: 2009-12
期刊: NATURE GENETICS
影响因子: 30.8
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发表时间: 2008-09
期刊: NATURE GENETICS
影响因子: 30.8
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