Leveraging Base Pair Mammalian Constraint to Understand Genetic Variation and Human Disease

Author:

Sullivan Patrick F.,Meadows Jennifer R. S.,Gazal Steven,Phan BaDoi N.,Li Xue,Genereux Diane P.,Dong Michael X.,Bianchi Matteo,Andrews Gregory,Sakthikumar Sharadha,Nordin Jessika,Roy Ananya,Christmas Matthew J.,Marinescu Voichita D.,Wallerman Ola,Xue James R.,Li Yun,Yao Shuyang,Sun Quan,Szatkiewicz Jin,Wen Jia,Huckins Laura M.,Lawler Alyssa J.,Keough Kathleen C.,Zheng Zhili,Zeng Jian,Wray Naomi R.,Johnson Jessica,Chen Jiawen,Paten Benedict,Reilly Steven K.,Hughes Graham M.,Weng Zhiping,Pollard Katherine S.,Pfenning Andreas R.,Forsberg-Nilsson Karin,Karlsson Elinor K.,Lindblad-Toh Kerstin,

Abstract

AbstractAlthough thousands of genomic regions have been associated with heritable human diseases, attempts to elucidate biological mechanisms are impeded by a general inability to discern which genomic positions are functionally important. Evolutionary constraint is a powerful predictor of function that is agnostic to cell type or disease mechanism. Here, single base phyloP scores from the whole genome alignment of 240 placental mammals identified 3.5% of the human genome as significantly constrained, and likely functional. We compared these scores to large-scale genome annotation, genome-wide association studies (GWAS), copy number variation, clinical genetics findings, and cancer data sets. Evolutionarily constrained positions are enriched for variants explaining common disease heritability (more than any other functional annotation). Our results improve variant annotation but also highlight that the regulatory landscape of the human genome still needs to be further explored and linked to disease.

Publisher

Cold Spring Harbor Laboratory

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