PT  - JOURNAL ARTICLE
AU  - Abigail L. LaBella
AU  - Abin Abraham
AU  - Yakov Pichkar
AU  - Sarah L. Fong
AU  - Ge Zhang
AU  - Louis J. Muglia
AU  - Patrick Abbot
AU  - Antonis Rokas
AU  - John A. Capra
TI  - Accounting for diverse evolutionary forces reveals the mosaic nature of selection on genomic regions associated with human preterm birth
AID  - 10.1101/816827
DP  - 2019 Jan 01
TA  - bioRxiv
PG  - 816827
4099  - http://biorxiv.org/content/early/2019/10/24/816827.short
4100  - http://biorxiv.org/content/early/2019/10/24/816827.full
AB  - Human pregnancy requires the coordinated function of multiple tissues in both mother and fetus and has evolved in concert with major human adaptations. As a result, pregnancy-associated phenotypes and related disorders are genetically complex and have likely been sculpted by diverse evolutionary forces. However, there is no framework to comprehensively evaluate how these traits evolved or to explore the relationship of evolutionary signatures on trait-associated genetic variants to molecular function. Here we develop an approach to test for signatures of diverse evolutionary forces, including multiple types of selection, and apply it to genomic regions associated with spontaneous preterm birth (sPTB), a complex disorder of global health concern. We find that sPTB-associated regions harbor diverse evolutionary signatures including evolutionary sequence conservation (consistent with the action of negative selection), excess population differentiation (local adaptation), accelerated evolution (positive selection), and balanced polymorphism (balancing selection). Furthermore, these genomic regions show diverse functional characteristics which enables us to use evolutionary and molecular lines of evidence to develop hypotheses about how these genomic regions contribute to sPTB risk. In summary, we introduce an approach for inferring the spectrum of evolutionary forces acting on genomic regions associated with complex disorders. When applied to sPTB-associated genomic regions, this approach both improves our understanding of the potential roles of these regions in pathology and illuminates the mosaic nature of evolutionary forces acting on genomic regions associated with sPTB.