Birth order and disease risk across the human phenome

Birth-order effects on disease risk have been studied for individual conditions but have not been systematically assessed at phenome-wide scale in large sibling claims cohorts. We apply two complementary designs, a between-family matched cohort (1.6 million pairs) as a high-powered phenome-wide scan, and a within-family sibling comparison (5.1 million families) as an internally controlled sibling contrast, to 569 diseases in Merative MarketScan claims data. Of 418 diseases with adequate case counts, 150 show Bonferroni-significant associations. First-borns carry excess risk for neurodevelopmental conditions (other/unspecified pervasive-developmental-disorder (PDD) code group odds ratio (OR) = 0.57, autism OR = 0.74, attention-deficit/hyperactivity disorder OR = 0.93) and immune-allergic diseases (food allergy OR = 0.80, allergic rhinitis OR = 0.91); second-borns for substance abuse (OR = 1.19) and gastrointestinal conditions (gastritis/duodenitis OR = 1.14). Across diseases analyzed in both designs, between-family and within-family estimates were positively correlated (r = 0.66; 74.2% directionally concordant); 84.7% of Bonferroni-significant between-family hits agreed in direction. Results are robust to state fixed effects (r > 0.99), full-sibling restriction and stricter clinical rematching (r = 0.93). These findings provide a comprehensive map of birth-order effects in the human disease phenome. In multiple study designs involving millions of matched individuals, either between or within families, birth order determined differential associations with disease risk across 569 diseases.

Authors

Institutions

Publication Details

Journal
Nature Health
Published
2026-08-03
DOI
https://doi.org/10.1038/s44360-026-00177-z
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Birth order and disease risk across the human phenome

Andrey Rzhetsky, Steven A. Kushner, Benjamin Kramer
Nature Health
Genetic Associations and Epidemiology
article

Birth order and disease risk across the human phenome

Andrey Rzhetsky, Steven A. Kushner, Benjamin Kramer
article en

Abstract

Birth-order effects on disease risk have been studied for individual conditions but have not been systematically assessed at phenome-wide scale in large sibling claims cohorts. We apply two complementary designs, a between-family matched cohort (1.6 million pairs) as a high-powered phenome-wide scan, and a within-family sibling comparison (5.1 million families) as an internally controlled sibling contrast, to 569 diseases in Merative MarketScan claims data. Of 418 diseases with adequate case counts, 150 show Bonferroni-significant associations. First-borns carry excess risk for neurodevelopmental conditions (other/unspecified pervasive-developmental-disorder (PDD) code group odds ratio (OR) = 0.57, autism OR = 0.74, attention-deficit/hyperactivity disorder OR = 0.93) and immune-allergic diseases (food allergy OR = 0.80, allergic rhinitis OR = 0.91); second-borns for substance abuse (OR = 1.19) and gastrointestinal conditions (gastritis/duodenitis OR = 1.14). Across diseases analyzed in both designs, between-family and within-family estimates were positively correlated (r = 0.66; 74.2% directionally concordant); 84.7% of Bonferroni-significant between-family hits agreed in direction. Results are robust to state fixed effects (r > 0.99), full-sibling restriction and stricter clinical rematching (r = 0.93). These findings provide a comprehensive map of birth-order effects in the human disease phenome. In multiple study designs involving millions of matched individuals, either between or within families, birth order determined differential associations with disease risk across 569 diseases.

Nature Health
University of Chicago (US), Institut thématique Génétique, génomique et bioinformatique (FR), Reproductive Genetics Institute (US), Columbia University (US)
National Institutes of Health, National Institute of Mental Health
Good health and well-being
Openalex Percentile: Top 9%
Genetic Associations and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.