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	<title>Multi-ancestry PGS methods &#8211; BIOENGINEER.ORG</title>
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	<title>Multi-ancestry PGS methods &#8211; BIOENGINEER.ORG</title>
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		<title>Benchmarking Polygenic Scores with PGS-hub Platform</title>
		<link>https://bioengineer.org/benchmarking-polygenic-scores-with-pgs-hub-platform/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Sun, 25 Jan 2026 01:30:44 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[benchmarking methodologies** **Açıklama:** 1. **polygenic scores:** Yazının temel konusu]]></category>
		<category><![CDATA[Cross-population risk prediction** **Kısa açıklama:** 1. **Polygenic score benchmarking:** Çalışmanın temel odağı]]></category>
		<category><![CDATA[doğrudan etiketlenmeli. 2. **PGS-hub platform:** Çalışmanın ve yazının merkezindeki araç/platform]]></category>
		<category><![CDATA[farklı PGS metodolojilerinin kapsamlı karşılaştırması ve de]]></category>
		<category><![CDATA[genetic risk prediction]]></category>
		<category><![CDATA[Genomic prediction equity]]></category>
		<category><![CDATA[İçeriğe göre en uygun 5 etiket: **Polygenic score benchmarking]]></category>
		<category><![CDATA[İşte içerik için uygun 5 etiket: **polygenic scores]]></category>
		<category><![CDATA[multi-ancestry genomics]]></category>
		<category><![CDATA[Multi-ancestry PGS methods]]></category>
		<category><![CDATA[PGS-hub platform]]></category>
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					<description><![CDATA[In the rapidly evolving field of genomics, the accurate prediction of complex trait risks using polygenic scores (PGS) has become a focal point of research and clinical interest. A groundbreaking study led by Chen, Wang, Zhao, and their colleagues, recently published in Nature Communications, has delivered an unprecedented comparative analysis of single and multi-ancestry polygenic [&#8230;]]]></description>
		
		
		
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