Using genetics to understand the role of hormones in postmenopausal health

老年妇女的健康对今后的保健工作提出了重大挑战。由于预期寿命较长，女性在绝经后的寿命更长，许多人随着年龄的增长会有多种健康状况，但历史上女性健康研究一直资金不足。绝经后疾病的发病率迅速增加，这是标志着大量的荷尔蒙变化和改变生活的症状，许多妇女。我们对更年期后生活中荷尔蒙变化对健康的影响了解有限。健康-PM将使用最先进的遗传流行病学来测试激素与绝经后疾病和状况（包括绝经症状）的因果关系。我将通过对与23万人的遗传数据相关的初级保健健康记录进行新的分析，将现有的激素遗传研究的规模扩大10倍，解决这些数据的复杂性。将首次对绝经后疾病进行广泛的全基因组分析，将来自医院、初级保健和癌症登记处的健康记录数据与自我报告的绝经状态相结合。健康-PM的目标是：1。描述激素的数量、暴露的持续时间或水平变化对绝经后健康的相对重要性。2.确定一个有益的性激素分布在生活中良好的绝经后健康。3.确定女性绝经后疾病是否受到绝经前后激素变化的影响，而不仅仅是衰老的后果。4.量化激素治疗干预对人群健康的影响。由于我在复杂性状遗传学和健康数据方面的专业知识，我在提供健康PM方面具有独特的优势，随着进一步大规模关联遗传学和健康数据的发布，我成为这一新兴跨学科领域的领导者。考虑到现有疗法可以改变激素水平，HEALTH-PM提供了大幅改善女性健康的潜力。

The health of older women poses significant challenges for future healthcare. Due to longer life-expectancy, women are living for longer after menopause and many will have multiple health conditions as they age, but historically women's health research has been underfunded. Rates of disease increase rapidly after menopause, which is marked by substantial hormonal changes and life-changing symptoms for many women. We have limited understanding of the impact of hormonal changes across life on health after menopause. HEALTH-PM will use state-of-the-art genetic epidemiology to test causal relationships of hormones with postmenopausal diseases and conditions, including menopausal symptoms. I will increase the size of existing genetic studies of hormones up to 10-fold through novel analyses of primary care health records linked to genetic data in 230K people, addressing the complexity of such data. For the first time, widespread genome-wide analyses of postmenopausal disease will be performed, by combining health records data from hospitals, primary care and cancer registry with self-reported menopause status. The objectives of HEALTH-PM are to: 1. Characterise the relative importance of amounts of hormones, duration of exposure or changes in levels for postmenopausal health. 2. Identify a beneficial sex hormone profile over life for good postmenopausal health. 3. Determine whether postmenopausal diseases in women are impacted by hormone changes around menopause over and above the consequences of ageing. 4. Quantify the effects on population health of intervening with hormone treatments. I am uniquely positioned to deliver HEALTH-PM given my expertise in complex trait genetics and health data, becoming a leader of this emerging interdisciplinary field as further large-scale linked genetics and health data are released. Given the possibility for modifying hormone levels with existing therapies, HEALTH-PM offers the potential to substantially improve women's health.