Approaches for drawing causal inferences from epidemiological birth cohorts: a review.
Approaches for drawing causal inferences from epidemiological birth cohorts: a review.
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从流行病学出生队列中绘制因果推断的方法：评论。
DOI：
10.1016/j.earlhumdev.2014.08.023
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发表时间：
2014-11
影响因子：
2.5
通讯作者：
Relton, Caroline L.
中科院分区：
文献类型：
--
作者：
Richmond, Rebecca C.;Al-Amin, Aleef;Smith, George Davey;Relton, Caroline L.
大规模基于人口的出生队列招募怀孕或出生时的妇女，并对其后代从婴儿期到儿童期和青少年期进行跟踪，这提供了一个机会，可以根据发育特征和以后的生活结果监测和模拟生命早期接触。然而，由于混淆和其他限制，因果风险因素的识别已被证明具有挑战性，并且已发表的发现通常无法重现。近年来已经开发了一套方法，以尽量减少困扰观察流行病学的问题，加强因果推理，并提供更深入的了解可改变的宫内和生命早期的风险因素。本文的目的是描述这些因果推理方法，并建议如何将其应用于出生队列的背景下，并延长沿着与出生队列财团的发展和扩展的“组学”技术。
Large-scale population-based birth cohorts, which recruit women during pregnancy or at birth and follow up their offspring through infancy and into childhood and adolescence, provide the opportunity to monitor and model early life exposures in relation to developmental characteristics and later life outcomes. However, due to confounding and other limitations, identification of causal risk factors has proved challenging and published findings are often not reproducible. A suite of methods has been developed in recent years to minimise problems afflicting observational epidemiology, to strengthen causal inference and to provide greater insights into modifiable intra-uterine and early life risk factors. The aim of this review is to describe these causal inference methods and to suggest how they may be applied in the context of birth cohorts and extended along with the development of birth cohort consortia and expansion of “omic” technologies.
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影响因子：
3.1
作者：
Briley AL;Barr S;Badger S;Bell R;Croker H;Godfrey KM;Holmes B;Kinnunen TI;Nelson SM;Oteng-Ntim E;Patel N;Robson SC;Sandall J;Sanders T;Sattar N;Seed PT;Wardle J;Poston L
通讯作者：
Poston L
影响因子：
4.5
作者：
Evans DM;Brion MJ;Paternoster L;Kemp JP;McMahon G;Munafò M;Whitfield JB;Medland SE;Montgomery GW;GIANT Consortium;CRP Consortium;TAG Consortium;Timpson NJ;St Pourcain B;Lawlor DA;Martin NG;Dehghan A;Hirschhorn J;Smith GD
通讯作者：
Smith GD
影响因子：
158.5
作者：
CZEIZEL, AE;DUDAS, I
通讯作者：
DUDAS, I
影响因子：
7.7
作者：
Dabelea, D;Hanson, RL;Knowler, WC
通讯作者：
Knowler, WC
影响因子：
30.8
作者：
Bradfield, Jonathan P.;Taal, H. Rob;Timpson, Nicholas J.;Scherag, Andre;Lecoeur, Cecile;Warrington, Nicole M.;Hypponen, Elina;Holst, Claus;Valcarcel, Beatriz;Thiering, Elisabeth;Salem, Rany M.;Schumacher, Fredrick R.;Cousminer, Diana L.;Sleiman, Patrick M. A.;Zhao, Jianhua;Berkowitz, Robert I.;Vimaleswaran, Karani S.;Jarick, Ivonne;Pennell, Craig E.;Evans, David M.;St Pourcain, Beate;Berry, Diane J.;Mook-Kanamori, Dennis O.;Hofman, Albert;Rivadeneira, Fernando;Uitterlinden, Andre G.;van Duijn, Cornelia M.;van der Valk, Ralf J. P.;de Jongste, Johan C.;Postma, Dirkje S.;Boomsma, Dorret I.;Gauderman, W. James;Hassanein, Mohamed T.;Lindgren, Cecilia M.;Magi, Reedik;Boreham, Colin A. G.;Neville, Charlotte E.;Moreno, Luis A.;Elliott, Paul;Pouta, Anneli;Hartikainen, Anna-Liisa;Li, Mingyao;Raitakari, Olli;Lehtimaki, Terho;Eriksson, Johan G.;Palotie, Aarno;Dallongeville, Jean;Das, Shikta;Deloukas, Panos;McMahon, George;Ring, Susan M.;Kemp, John P.;Buxton, Jessica L.;Blakemore, Alexandra I. F.;Bustamante, Mariona;Guxens, Monica;Hirschhorn, Joel N.;Gillman, Matthew W.;Kreiner-Moller, Eskil;Bisgaard, Hans;Gilliland, Frank D.;Heinrich, Joachim;Wheeler, Eleanor;Barroso, Ines;O'Rahilly, Stephen;Meirhaeghe, Aline;Sorensen, Thorkild I. A.;Power, Chris;Palmer, Lyle J.;Hinney, Anke;Widen, Elisabeth;Farooqi, I. Sadaf;McCarthy, Mark I.;Froguel, Philippe;Meyre, David;Hebebrand, Johannes;Jarvelin, Marjo-Riitta;Jaddoe, Vincent W. V.;Smith, George Davey;Hakonarson, Hakon;Grant, Struan F. A.
通讯作者：
Grant, Struan F. A.