Combining Human Genetics and Causal Inference to Understand Human Disease and Development 9781621823810

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Автор: Davey Smith George, Richmond Rebecca, Pingault Jean-Baptiste
Название: Combining Human Genetics and Causal Inference to Understand Human Disease and Development
ISBN: 9781621823810
Издательство: Cold Spring Harbor Laboratory Press
Классификация:

Эпидемиология и медицинская статистика

Медицинская генетика

Генетика (немедицинская)

ISBN-10: 1621823814
Обложка/Формат: Hardcover
Страницы: 225
Вес: 0.75 кг.
Дата издания: 01.10.2021
Серия: Perspectives cshl
Язык: English
Размер: 25.65 x 17.78 x 2.03 cm
Читательская аудитория: General (us: trade)
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Поставляется из: США
Описание: In human genetics, causal inference methods leverage large omics data sets and phenotypic information to decipher various cause-and-effect relationships in human health and disease (e.g., smoking and lung cancer). The focus of such work is typically on modifiable variables (e.g., behavior or
environmental exposure) that impact disease onset, progression, and outcome. A better understanding of these variables can lead to interventions and therapeutics that have a desirable impact on public health.

Written and edited by experts in the field, this collection from Cold Spring Harbor Perspectives in Medicine examines advances in causal inference approaches in human genetics and how they are being used to enhance our understanding of human development and disease. The contributors discuss
family-based study designs for causal inference, including twin designs, adoption designs, and in vitro fertilization designs, that separate inherited factors from perinatal environmental exposures. They also review various types of Mendelian randomization--a population-based approach that is growing
in utility and popularity--as well as their integration with family-based designs.

The use of these approaches to investigate causal mechanisms in specific scenarios (e.g., maternal smoking during pregnancy and ADHD in offspring) is also covered. This volume is therefore an essential read for geneticists, epidemiologists, and all biomedical scientists and public health
professionals dedicated to using genetic information to improve human health.

Combining Human Genetics and Causal Inference to Understand Human Disease and Development, Davey Smith George, Richmond Rebecca, Pingault Jean-Baptiste