Uncovering exposures responsible for birth season - disease effects

a global study

Mary Regina Boland, Pradipta Parhi, Li Li, Riccardo Miotto, Robert Carroll, Usman Iqbal, Phung-Anh Alex Nguyen, Martijn Schuemie, Seng Chan You, Donahue Smith, Sean Mooney, Patrick Ryan, Yu-Chuan Jack Li, Rae Woong Park, Josh Denny, Joel T Dudley, George Hripcsak, Pierre Gentine, Nicholas P Tatonetti

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Objective: Birth month and climate impact lifetime disease risk, while the underlying exposures remain largely elusive. We seek to uncover distal risk factors underlying these relationships by probing the relationship between global exposure variance and disease risk variance by birth season.

Material and Methods: This study utilizes electronic health record data from 6 sites representing 10.5 million individuals in 3 countries (United States, South Korea, and Taiwan). We obtained birth month-disease risk curves from each site in a case-control manner. Next, we correlated each birth month-disease risk curve with each exposure. A meta-analysis was then performed of correlations across sites. This allowed us to identify the most significant birth month-exposure relationships supported by all 6 sites while adjusting for multiplicity. We also successfully distinguish relative age effects (a cultural effect) from environmental exposures.

Results: Attention deficit hyperactivity disorder was the only identified relative age association. Our methods identified several culprit exposures that correspond well with the literature in the field. These include a link between first-trimester exposure to carbon monoxide and increased risk of depressive disorder (R = 0.725, confidence interval [95% CI], 0.529-0.847), first-trimester exposure to fine air particulates and increased risk of atrial fibrillation (R = 0.564, 95% CI, 0.363-0.715), and decreased exposure to sunlight during the third trimester and increased risk of type 2 diabetes mellitus (R = -0.816, 95% CI, -0.5767, -0.929).

Conclusion: A global study of birth month-disease relationships reveals distal risk factors involved in causal biological pathways that underlie them.

Original languageEnglish
JournalJournal of the American Medical Informatics Association : JAMIA
DOIs
Publication statusE-pub ahead of print - Sep 28 2017

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Parturition
First Pregnancy Trimester
Republic of Korea
Electronic Health Records
Sunlight
Environmental Exposure
Third Pregnancy Trimester
Carbon Monoxide
Attention Deficit Disorder with Hyperactivity
Depressive Disorder
Climate
Taiwan
Atrial Fibrillation
Type 2 Diabetes Mellitus
Meta-Analysis
Air
Confidence Intervals

Keywords

  • Journal Article

Cite this

Uncovering exposures responsible for birth season - disease effects : a global study. / Boland, Mary Regina; Parhi, Pradipta; Li, Li; Miotto, Riccardo; Carroll, Robert; Iqbal, Usman; Nguyen, Phung-Anh Alex; Schuemie, Martijn; You, Seng Chan; Smith, Donahue; Mooney, Sean; Ryan, Patrick; Li, Yu-Chuan Jack; Park, Rae Woong; Denny, Josh; Dudley, Joel T; Hripcsak, George; Gentine, Pierre; Tatonetti, Nicholas P.

In: Journal of the American Medical Informatics Association : JAMIA, 28.09.2017.

Research output: Contribution to journalArticle

Boland, MR, Parhi, P, Li, L, Miotto, R, Carroll, R, Iqbal, U, Nguyen, P-AA, Schuemie, M, You, SC, Smith, D, Mooney, S, Ryan, P, Li, Y-CJ, Park, RW, Denny, J, Dudley, JT, Hripcsak, G, Gentine, P & Tatonetti, NP 2017, 'Uncovering exposures responsible for birth season - disease effects: a global study', Journal of the American Medical Informatics Association : JAMIA. https://doi.org/10.1093/jamia/ocx105
Boland, Mary Regina ; Parhi, Pradipta ; Li, Li ; Miotto, Riccardo ; Carroll, Robert ; Iqbal, Usman ; Nguyen, Phung-Anh Alex ; Schuemie, Martijn ; You, Seng Chan ; Smith, Donahue ; Mooney, Sean ; Ryan, Patrick ; Li, Yu-Chuan Jack ; Park, Rae Woong ; Denny, Josh ; Dudley, Joel T ; Hripcsak, George ; Gentine, Pierre ; Tatonetti, Nicholas P. / Uncovering exposures responsible for birth season - disease effects : a global study. In: Journal of the American Medical Informatics Association : JAMIA. 2017.
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abstract = "Objective: Birth month and climate impact lifetime disease risk, while the underlying exposures remain largely elusive. We seek to uncover distal risk factors underlying these relationships by probing the relationship between global exposure variance and disease risk variance by birth season.Material and Methods: This study utilizes electronic health record data from 6 sites representing 10.5 million individuals in 3 countries (United States, South Korea, and Taiwan). We obtained birth month-disease risk curves from each site in a case-control manner. Next, we correlated each birth month-disease risk curve with each exposure. A meta-analysis was then performed of correlations across sites. This allowed us to identify the most significant birth month-exposure relationships supported by all 6 sites while adjusting for multiplicity. We also successfully distinguish relative age effects (a cultural effect) from environmental exposures.Results: Attention deficit hyperactivity disorder was the only identified relative age association. Our methods identified several culprit exposures that correspond well with the literature in the field. These include a link between first-trimester exposure to carbon monoxide and increased risk of depressive disorder (R = 0.725, confidence interval [95{\%} CI], 0.529-0.847), first-trimester exposure to fine air particulates and increased risk of atrial fibrillation (R = 0.564, 95{\%} CI, 0.363-0.715), and decreased exposure to sunlight during the third trimester and increased risk of type 2 diabetes mellitus (R = -0.816, 95{\%} CI, -0.5767, -0.929).Conclusion: A global study of birth month-disease relationships reveals distal risk factors involved in causal biological pathways that underlie them.",
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author = "Boland, {Mary Regina} and Pradipta Parhi and Li Li and Riccardo Miotto and Robert Carroll and Usman Iqbal and Nguyen, {Phung-Anh Alex} and Martijn Schuemie and You, {Seng Chan} and Donahue Smith and Sean Mooney and Patrick Ryan and Li, {Yu-Chuan Jack} and Park, {Rae Woong} and Josh Denny and Dudley, {Joel T} and George Hripcsak and Pierre Gentine and Tatonetti, {Nicholas P}",
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T1 - Uncovering exposures responsible for birth season - disease effects

T2 - a global study

AU - Boland, Mary Regina

AU - Parhi, Pradipta

AU - Li, Li

AU - Miotto, Riccardo

AU - Carroll, Robert

AU - Iqbal, Usman

AU - Nguyen, Phung-Anh Alex

AU - Schuemie, Martijn

AU - You, Seng Chan

AU - Smith, Donahue

AU - Mooney, Sean

AU - Ryan, Patrick

AU - Li, Yu-Chuan Jack

AU - Park, Rae Woong

AU - Denny, Josh

AU - Dudley, Joel T

AU - Hripcsak, George

AU - Gentine, Pierre

AU - Tatonetti, Nicholas P

PY - 2017/9/28

Y1 - 2017/9/28

N2 - Objective: Birth month and climate impact lifetime disease risk, while the underlying exposures remain largely elusive. We seek to uncover distal risk factors underlying these relationships by probing the relationship between global exposure variance and disease risk variance by birth season.Material and Methods: This study utilizes electronic health record data from 6 sites representing 10.5 million individuals in 3 countries (United States, South Korea, and Taiwan). We obtained birth month-disease risk curves from each site in a case-control manner. Next, we correlated each birth month-disease risk curve with each exposure. A meta-analysis was then performed of correlations across sites. This allowed us to identify the most significant birth month-exposure relationships supported by all 6 sites while adjusting for multiplicity. We also successfully distinguish relative age effects (a cultural effect) from environmental exposures.Results: Attention deficit hyperactivity disorder was the only identified relative age association. Our methods identified several culprit exposures that correspond well with the literature in the field. These include a link between first-trimester exposure to carbon monoxide and increased risk of depressive disorder (R = 0.725, confidence interval [95% CI], 0.529-0.847), first-trimester exposure to fine air particulates and increased risk of atrial fibrillation (R = 0.564, 95% CI, 0.363-0.715), and decreased exposure to sunlight during the third trimester and increased risk of type 2 diabetes mellitus (R = -0.816, 95% CI, -0.5767, -0.929).Conclusion: A global study of birth month-disease relationships reveals distal risk factors involved in causal biological pathways that underlie them.

AB - Objective: Birth month and climate impact lifetime disease risk, while the underlying exposures remain largely elusive. We seek to uncover distal risk factors underlying these relationships by probing the relationship between global exposure variance and disease risk variance by birth season.Material and Methods: This study utilizes electronic health record data from 6 sites representing 10.5 million individuals in 3 countries (United States, South Korea, and Taiwan). We obtained birth month-disease risk curves from each site in a case-control manner. Next, we correlated each birth month-disease risk curve with each exposure. A meta-analysis was then performed of correlations across sites. This allowed us to identify the most significant birth month-exposure relationships supported by all 6 sites while adjusting for multiplicity. We also successfully distinguish relative age effects (a cultural effect) from environmental exposures.Results: Attention deficit hyperactivity disorder was the only identified relative age association. Our methods identified several culprit exposures that correspond well with the literature in the field. These include a link between first-trimester exposure to carbon monoxide and increased risk of depressive disorder (R = 0.725, confidence interval [95% CI], 0.529-0.847), first-trimester exposure to fine air particulates and increased risk of atrial fibrillation (R = 0.564, 95% CI, 0.363-0.715), and decreased exposure to sunlight during the third trimester and increased risk of type 2 diabetes mellitus (R = -0.816, 95% CI, -0.5767, -0.929).Conclusion: A global study of birth month-disease relationships reveals distal risk factors involved in causal biological pathways that underlie them.

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DO - 10.1093/jamia/ocx105

M3 - Article

JO - Journal of the American Medical Informatics Association : JAMIA

JF - Journal of the American Medical Informatics Association : JAMIA

SN - 1067-5027

ER -