{"id":11423,"date":"2021-09-08T12:56:47","date_gmt":"2021-09-08T10:56:47","guid":{"rendered":"https:\/\/h3africa.org\/?page_id=11423"},"modified":"2021-09-08T14:20:01","modified_gmt":"2021-09-08T12:20:01","slug":"h3africa-dbac-approvals","status":"publish","type":"page","link":"https:\/\/h3africa.org\/index.php\/h3africa-dbac-approvals\/","title":{"rendered":"H3Africa DBAC Approvals"},"content":{"rendered":"

[vc_row][vc_column][vc_column_text css=”.vc_custom_1631098962553{margin-top: 36px !important;}”]<\/p>\n

DBAC Approvals<\/h3>\n
\n

\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t
Name<\/th>Institution\/Research Group<\/th>Study<\/th>Datasets<\/th>\n<\/tr>\n<\/thead>\n
Prof JM Heckmann<\/td>University of Capetown, South Africa<\/td>Investigating the genetic basis of amyotrophic lateral sclerosis (ALS) and other neuromuscular disorders in South Africans<\/td>TrypanoGEN and H3ABaylor WGS datasets:
\nH3AChip-TrypanoGEN 2 EGAD00001004220
\nH3AChip-AWI-Gen EGAD00001004448
\nH3AChip-TrypanoGEN 1 EGAD00001004393
\nH3AChip-ELSI EGAD00001004316
\nH3AChip-CAfGEN EGAD00001004533
\nH3AChip-ACCME EGAD00001004505
\nH3AChip-NEEDI EGAD00001004334
\nH3AChip-MalSic EGAD00001004557
\nTrypanoGEN Main EGAD00001005076
\nAWI-Gen Phase 1 WGS data from 100 South Africans EGAD00001006418<\/td>\n<\/tr>\n
Prof Carina Schlebusch<\/td>Uppsala University, Evolutionary Biology Centre, Sweden<\/td>A genomic perspective on the history of Africa<\/td>H3A-Baylor and TrypanoGEN WGS datasets:
\nH3AChip-TrypanoGEN 2 EGAD00001004220
\nH3AChip-AWI-Gen EGAD00001004448
\nH3AChip-TrypanoGEN 1 EGAD00001004393
\nH3AChip-ELSI EGAD00001004316
\nH3AChip-CAfGEN EGAD00001004533
\nH3AChip-ACCME EGAD00001004505
\nH3AChip-NEEDI EGAD00001004334
\nH3AChip-MalSic EGAD00001004557
\nTrypanoGEN Main EGAD00001005076<\/td>\n<\/tr>\n
Prof Christof R. Hauck<\/td>Konstanz University, Germany<\/td>CEACAM polymorphisms and their role for bacterial adhesin binding<\/td>WES\/WGS:
\nCAfGEN Exome EGAD00001006224
\nTrypanoGEN Main EGAD00001005076<\/td>\n<\/tr>\n
Maria Chahrour, Ph.D.<\/td>University of Texas Southwestern Medical Center,
\nUnited States<\/td>		The genetics of neurodevelopmental disorders<\/td>H3AChip data:
\nH3AChip-Trypanogen 2 EGAD00001004220;
\nH3AChip-Awi-gen EGAD00001004448;
\nH3AChip-Elsi EGAD00001004316;
\nH3AChip-Trypanogen 1 EGAD00001004393;
\nH3AChip-Cafgen EGAD00001004533;
\nH3AChip-Accme EGAD00001004505;
\nH3AChip-Needi EGAD00001004334;
\nH3AChip-Malsic EGAD00001004557.<\/td>\n<\/tr>\n
Alicia Martin, Ph.D<\/td>Broad Institute, Massachusetts, United States<\/td>Developing a population genetic and imputation resource of diverse human genomes<\/td>WGS datasets:
\nH3AChip-Phenotype EGAD00001005310;
\nAWI-Gen Phase 1 GWAS Genotype EGAD00010001996;
\nAWI-Gen Phase 1 WGS data from 100 South Africans EGAD00001006418;
\nH3AChip-Trypanogen 2 EGAD00001004220; H3AChip-Awi-gen EGAD00001004448;
\nH3AChip-Elsi EGAD00001004316;
\nH3AChip-Trypanogen 1 EGAD00001004393; H3AChip-Cafgen EGAD00001004533;
\nH3AChip-Accme EGAD00001004505;
\nH3AChip-Needi EGAD00001004334;
\nH3AChip-Malsic EGAD00001004557<\/td>\n<\/tr>\n
Dr Jana Vandrovcova<\/td>University College London, United Kingdom<\/td>The International Centre for Genomic Medicine in Neuromuscular Disease (ICGNMD)<\/td>WGS\/WES datasets:
\nAWI-Gen Phase 1 GWAS Genotype EGAD00010001996
\nAWI-Gen Phase 1 WGS data from 100 South Africans EGAD00001006418
\nH3AChip-Trypanogen 2 EGAD00001004220
\nH3AChip-Awi-gen EGAD00001004448
\nH3AChip-Elsi EGAD00001004316
\nH3AChip-Trypanogen 1 EGAD00001004393
\nH3AChip-Cafgen EGAD00001004533
\nH3AChip-Accme EGAD00001004505
\nH3AChip-Needi EGAD00001004334
\nNEEDI SNPs and INDELS EGAD00001006295
\nCAfGEN Exome EGAD00001006224
\nH3AChip-Malsic EGAD00001004557
\nTrypanoGEN Main EGAD00001005076
\nAWI-Gen Pilot EGAD00010001258<\/td>\n<\/tr>\n
Prof Michael Pepper<\/td>University of Pretoria, South Africa<\/td>To determine the African variant allele frequencies and predicted variant effects of
\ngenes associated with neonatal encephalopathy with suspected hypoxic-ischemic encephalopathy
\n(NESHIE), Coronavirus disease 2019 (COVID-19), cystic fibrosis and cardiometabolic diseases<\/td>		H3AChip-Trypanogen 2 EGAD00001004220
\nH3AChip-Awi-gen EGAD00001004448
\nH3AChip-Elsi EGAD00001004316
\nH3AChip-Trypanogen 1 EGAD00001004393
\nH3AChip-Cafgen EGAD00001004533
\nH3AChip-Accme EGAD00001004505
\nH3AChip-Needi EGAD00001004334
\nCAfGEN Exome EGAD00001006224
\nH3AChip-Malsic EGAD00001004557
\nTrypanoGEN Main EGAD00001005076<\/td>\n<\/tr>\n
Dr Sandra Beleza<\/td>University of Leicester, United Kingdom<\/td>Whole Genome Sequencing of Populations from Cabinda, Angola and Maputo, Mozambique<\/td>H3AChip data
\nH3AChip-Trypanogen 2 EGAD00001004220
\nH3AChip-Elsi EGAD00001004316
\nH3AChip-Trypanogen 1 EGAD00001004393
\nH3AChip-Cafgen EGAD00001004533
\nH3AChip-Accme EGAD00001004505
\nH3AChip-Needi EGAD00001004334
\nH3AChip-Malsic EGAD00001004557
\nH3AChip-AWI-Gen EGAD00001004448<\/td>\n<\/tr>\n
Prof Ezekiel Adebiyi<\/td>Covenant University Ota, Ogun State, Nigeria<\/td>Genome-wide characterization of complex variants and their phenotypic effects in African populations<\/td>WGS datasets:
\nH3AChip-Elsi EGAD00001004316
\nNEEDI SNPs and INDELS EGAD00001006295
\nH3AChip-Malsic EGAD00001004557
\nH3AChip-Trypanogen 1 EGAD00001004393
\nAWI-Gen Phase 1 GWAS Genotype EGAD00010001996
\nH3AChip-Needi EGAD00001004334
\nCAfGEN Exome EGAD00001006224
\nAWI-Gen Pilot EGAD00010001258
\nTrypanoGEN Main EGAD00001005076
\nH3AChip-Phenotype EGAD00001005310
\nH3AChip-Trypanogen 2 EGAD00001004220
\nH3AChip-Awi-gen EGAD00001004448
\nH3AChip-Cafgen EGAD00001004533
\nAWI-Gen Phase 1 Phenotype EGAD00001006425
\nAWI-Gen Phase 1 Pilot Microbiome PRJEB40733
\nAWI-Gen Phase 1 Pilot Microbiome Phenotype EGAD00001006581
\nAWI-Gen Phase 1 WGS data from 100 South Africans EGAD00001006418
\nH3Africa Consortium WGS VCF EGAD00001008577<\/td>\n<\/tr>\n
Dr Carla Marquez-Luna<\/td>Martingale Labs, Brooklyn, United States<\/td>Evaluating the utility of current clinical genetic testing methods across diverse populations<\/td>WGS datasets:
\nH3Africa Consortium WGS VCF EGAD00001008577<\/td>\n<\/tr>\n
Prof Michael Pepper<\/td>University of Pretoria, South Africa<\/td>A multi-variate, multi-omics study on the pathogenesis of moderate-severe neonatal encephalopathy with suspected hypoxic ischemic encephalopathy<\/td>Datasets:
\nH3AChip-Elsi EGAD00001004316
\nH3AChip-Malsic EGAD00001004557
\nH3AChip-Trypanogen 1 EGAD00001004393
\nH3AChip-Accme EGAD00001004505
\nH3AChip-Needi EGAD00001004334
\nCAfGEN Exome EGAD00001006224
\nH3AChip-Trypanogen 2 EGAD00001004220
\nH3AChip-Awi-gen EGAD00001004448
\nH3AChip-Cafgen EGAD00001004533
\nH3Africa Consortium WGS VCF EGAD00001008577<\/td>\n<\/tr>\n
Dr Catherine Tcheandjieu<\/td>University of California San Francisco, California, USA<\/td>Understanding the 9p21.3 coronary artery disease-risk region<\/td>WGS, SNP array, and phenotype datasets:
\nAWI-Gen Phase 1 GWAS Genotype EGAD00010001996
\nAWI-Gen Phase 1 Phenotype EGAD00001006425
\nH3Africa Consortium WGS VCF EGAD00001008577<\/td>\n<\/tr>\n
Dr Houcemeddine Othman<\/td>University of the Witwatersrand, Johannesburg, South Africa<\/td>An integrative data-driven approach to the genomics of anti-tuberculosis and anti-malarial drug responses in African populations: The AGORA-TM project<\/td>WGS datasets:
\nH3Africa Consortium WGS VCF EGAD00001008577<\/td>\n<\/tr>\n
Dr Hongsheng Gui<\/td>Michigan State University Health Sciences,
\nUnited States<\/td>		Pharmacoepidemiology and pharmacogenomics of opioid use and use disorder during COVID pandemic<\/td>WGS datasets:
\nH3Africa Consortium WGS VCF EGAD00001008577<\/td>\n<\/tr>\n
Etienne Patin, PhD<\/td>Institut Pasteur, France<\/td>The impact of recent demographic changes on the genetic architecture of complex diseases in Central Africans<\/td>WGS datasets:
\nH3AChip-Elsi EGAD00001004316
\nH3AChip-Malsic EGAD00001004557
\nH3AChip-Trypanogen 1 EGAD00001004393
\nH3AChip-Accme EGAD00001004505
\nH3AChip-Needi EGAD00001004334
\nH3AChip-Trypanogen 2 EGAD00001004220
\nH3AChip-Awi-gen EGAD00001004448
\nH3AChip-Cafgen EGAD00001004533<\/td>\n<\/tr>\n
Prof Vanessa Dumeaux<\/td>The University of Western Ontario, Canada<\/td>Functional Interactions and Global Diversity in Gut Microbiomes: Advancing Microbial Community Type Identification with Deep Learning Approaches<\/td>AWI-Gen Phase 1 Pilot Microbiome Phenotype EGAD00001006581<\/td>\n<\/tr>\n
Prof Yukinori Okada<\/td>Osaka University Graduate School of Medicine, Japan<\/td>Elucidation of disease pathology by multi-omics analysis of the homogeneity and heterogeneity of selection signatures in diverse populations<\/td>WGS datasets:
\nH3AChip-Elsi EGAD00001004316
\nH3AChip-Malsic EGAD00001004557
\nH3AChip-Trypanogen 1 EGAD00001004393
\nAWI-Gen Phase 1 GWAS Genotype EGAD00010001996
\nH3AChip-Accme EGAD00001004505
\nH3AChip-Needi EGAD00001004334
\nAWI-Gen Pilot EGAD00010001258
\nTrypanoGEN Main EGAD00001005076
\nACCME NIH H3Africa phs001945.v1.p1
\nH3AChip-Phenotype EGAD00001005310
\nH3AChip-Trypanogen 2 EGAD00001004220
\nH3AChip-Awi-gen EGAD00001004448
\nH3AChip-Cafgen EGAD00001004533
\nAWI-Gen Phase 1 Phenotype EGAD00001006425
\nReMAC-Phenotype EGAD00001006244
\nAWI-Gen Phase 1 WGS data from 100 South Africans EGAD00001006418
\nH3Africa Consortium WGS VCF EGAD00001008577<\/td>\n<\/tr>\n
Dr Mahmoud Aarabi<\/td>University of Pittsburgh, United States<\/td>Carrier frequency of autosomal recessive conditions in African population<\/td>WGS data
\nTrypanoGEN Main EGAD00001005076<\/td>\n<\/tr>\n
Prof David Curtis<\/td>University College London, United Kingdom<\/td>Distribution of genetic variants across human populations<\/td>AWI-Gen Phase 1 GWAS Genotype EGAD00010001996
\nH3Africa Consortium WGS VCF EGAD00001008577<\/td>\n<\/tr>\n
Dr David Twesigomwe<\/td>University of the Witwatersrand, South Africa<\/td>Characterisation of pharmacogene allelic variation in African populations and development of a novel diplotype calling algorithm: Phase 2<\/td>WGS and WES datasets:
\nH3AChip-Elsi EGAD00001004316
\nH3AChip-Malsic EGAD00001004557
\nH3AChip-Trypanogen 1 EGAD00001004393
\nH3AChip-Accme EGAD00001004505
\nH3AChip-Needi EGAD00001004334
\nCAfGEN Exome EGAD00001006224
\nH3AChip-Trypanogen 2 EGAD00001004220
\nH3AChip-Awi-gen EGAD00001004448
\nH3AChip-Cafgen EGAD00001004533
\nAWI-Gen Phase 1 WGS data from 100 South Africans EGAD00001006418<\/td>\n<\/tr>\n
Tabitha Osler<\/td>University of the Witwatersrand, South Africa<\/td>Prevalence and consequences of variants in genes associated with breast cancer in black South African women<\/td>WGS datasets:
\nTrypanoGEN Main EGAD00001005076
\nH3Africa Consortium WGS VCF EGAD00001008577<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

[vc_row][vc_column][vc_column_text css=”.vc_custom_1631098962553{margin-top: 36px !important;}”] DBAC Approvals [\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","footnotes":""},"categories":[24],"tags":[],"class_list":["post-11423","page","type-page","status-publish","hentry","category-consortium-documents-consortium-documents"],"_links":{"self":[{"href":"https:\/\/h3africa.org\/index.php\/wp-json\/wp\/v2\/pages\/11423","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/h3africa.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/h3africa.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/h3africa.org\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/h3africa.org\/index.php\/wp-json\/wp\/v2\/comments?post=11423"}],"version-history":[{"count":3,"href":"https:\/\/h3africa.org\/index.php\/wp-json\/wp\/v2\/pages\/11423\/revisions"}],"predecessor-version":[{"id":11429,"href":"https:\/\/h3africa.org\/index.php\/wp-json\/wp\/v2\/pages\/11423\/revisions\/11429"}],"wp:attachment":[{"href":"https:\/\/h3africa.org\/index.php\/wp-json\/wp\/v2\/media?parent=11423"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/h3africa.org\/index.php\/wp-json\/wp\/v2\/categories?post=11423"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/h3africa.org\/index.php\/wp-json\/wp\/v2\/tags?post=11423"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}