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Genetic effects of sequence-conserved enhancer-like elements on human complex traits.
Zhu, Xiang; Ma, Shining; Wong, Wing Hung.
Affiliation
  • Zhu X; Department of Statistics, The Pennsylvania State University, 326 Thomas Building, University Park, 16802, PA, USA. xiangzhu@psu.edu.
  • Ma S; Huck Institutes of the Life Sciences, The Pennsylvania State University, 201 Huck Life Sciences Building, University Park, 16802, PA, USA. xiangzhu@psu.edu.
  • Wong WH; Department of Statistics, Stanford University, 390 Jane Stanford Way, Stanford, 94305, CA, USA. xiangzhu@psu.edu.
Genome Biol ; 25(1): 1, 2024 01 02.
Article in En | MEDLINE | ID: mdl-38167462
ABSTRACT

BACKGROUND:

The vast majority of findings from human genome-wide association studies (GWAS) map to non-coding sequences, complicating their mechanistic interpretations and clinical translations. Non-coding sequences that are evolutionarily conserved and biochemically active could offer clues to the mechanisms underpinning GWAS discoveries. However, genetic effects of such sequences have not been systematically examined across a wide range of human tissues and traits, hampering progress to fully understand regulatory causes of human complex traits.

RESULTS:

Here we develop a simple yet effective strategy to identify functional elements exhibiting high levels of human-mouse sequence conservation and enhancer-like biochemical activity, which scales well to 313 epigenomic datasets across 106 human tissues and cell types. Combined with 468 GWAS of European (EUR) and East Asian (EAS) ancestries, these elements show tissue-specific enrichments of heritability and causal variants for many traits, which are significantly stronger than enrichments based on enhancers without sequence conservation. These elements also help prioritize candidate genes that are functionally relevant to body mass index (BMI) and schizophrenia but were not reported in previous GWAS with large sample sizes.

CONCLUSIONS:

Our findings provide a comprehensive assessment of how sequence-conserved enhancer-like elements affect complex traits in diverse tissues and demonstrate a generalizable strategy of integrating evolutionary and biochemical data to elucidate human disease genetics.
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Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Multifactorial Inheritance / Genome-Wide Association Study Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: Genome Biol / Genome biol / Genome biology (Online) Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2024 Document type: Article Affiliation country: Estados Unidos Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Multifactorial Inheritance / Genome-Wide Association Study Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: Genome Biol / Genome biol / Genome biology (Online) Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2024 Document type: Article Affiliation country: Estados Unidos Country of publication: Reino Unido