# Methods to unveil sex-specific genetic architecture in trans-ancestry meta-analysis

> **NIH NIH R01** · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · 2022 · $812,786

## Abstract

ABSTRACT
Large scale genetic datasets have revolutionized human genetic research. In the past decade, genome-wide
association studies have identified numerous genetic variants associated with various complex traits. These
discoveries have informed new biology and led to novel therapeutics. Yet, most studies focused on European
samples and most of the studies were conducted by pooling both sexes together. Sex-specific genetic
architecture in diverse populations remains largely elusive. As the next step, consortia efforts have begun to
aggregate datasets from diverse non-European populations. Meta-analysis is often employed in large consortium
studies There is a compelling need to develop methods that can effectively conduct trans-ancestry meta-
analysis. To this end, we will develop a series of innovative methods to improve the power for association
mapping, the precision of fine mapping and the accuracy of polygenic predictions in trans -ancestry analysis.
Resulting methods will be applied to a series of heart, lung, and blood related traits, in collaboration with a
number of consortia studies. This is a continuation of our strong track record of method development in statistical
genetics. We will implement the methods into a few widely used tools, including RVTESTS, SEQMINER, and
RAREMETAL, which will not only benefit our own study but also other researchers in the field.

## Key facts

- **NIH application ID:** 10445464
- **Project number:** 1R01HG011035-01A1
- **Recipient organization:** PENNSYLVANIA STATE UNIV HERSHEY MED CTR
- **Principal Investigator:** Bibo Jiang
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $812,786
- **Award type:** 1
- **Project period:** 2022-08-10 → 2027-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10445464

## Citation

> US National Institutes of Health, RePORTER application 10445464, Methods to unveil sex-specific genetic architecture in trans-ancestry meta-analysis (1R01HG011035-01A1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10445464. Licensed CC0.

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