Your browser doesn't support javascript.
loading
A harmonized public resource of deeply sequenced diverse human genomes.
Koenig, Zan; Yohannes, Mary T; Nkambule, Lethukuthula L; Zhao, Xuefang; Goodrich, Julia K; Kim, Heesu Ally; Wilson, Michael W; Tiao, Grace; Hao, Stephanie P; Sahakian, Nareh; Chao, Katherine R; Walker, Mark A; Lyu, Yunfei; Rehm, Heidi L; Neale, Benjamin M; Talkowski, Michael E; Daly, Mark J; Brand, Harrison; Karczewski, Konrad J; Atkinson, Elizabeth G; Martin, Alicia R.
Affiliation
  • Koenig Z; Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Yohannes MT; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Nkambule LL; Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Zhao X; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Goodrich JK; Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Kim HA; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Wilson MW; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Tiao G; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Hao SP; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
  • Sahakian N; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Chao KR; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Walker MA; Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Lyu Y; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Rehm HL; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Neale BM; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Talkowski ME; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
  • Daly MJ; Broad Genomics, The Broad Institute of MIT and Harvard, 320 Charles Street, Cambridge, MA, 02141, USA.
  • Brand H; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Karczewski KJ; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Atkinson EG; Data Sciences Platform, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Martin AR; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
bioRxiv ; 2024 Feb 28.
Article in En | MEDLINE | ID: mdl-36747613
ABSTRACT
Underrepresented populations are often excluded from genomic studies due in part to a lack of resources supporting their analyses. The 1000 Genomes Project (1kGP) and Human Genome Diversity Project (HGDP), which have recently been sequenced to high coverage, are valuable genomic resources because of the global diversity they capture and their open data sharing policies. Here, we harmonized a high quality set of 4,094 whole genomes from HGDP and 1kGP with data from the Genome Aggregation Database (gnomAD) and identified over 153 million high-quality SNVs, indels, and SVs. We performed a detailed ancestry analysis of this cohort, characterizing population structure and patterns of admixture across populations, analyzing site frequency spectra, and measuring variant counts at global and subcontinental levels. We also demonstrate substantial added value from this dataset compared to the prior versions of the component resources, typically combined via liftover and variant intersection; for example, we catalog millions of new genetic variants, mostly rare, compared to previous releases. In addition to unrestricted individual-level public release, we provide detailed tutorials for conducting many of the most common quality control steps and analyses with these data in a scalable cloud-computing environment and publicly release this new phased joint callset for use as a haplotype resource in phasing and imputation pipelines. This jointly called reference panel will serve as a key resource to support research of diverse ancestry populations.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2024 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2024 Type: Article Affiliation country: United States