scholarly journals Genome-Wide Linkage Scan in Gullah-Speaking African American Families With Type 2 Diabetes: The Sea Islands Genetic African American Registry (Project SuGAR)

Diabetes ◽  
2008 ◽  
Vol 58 (1) ◽  
pp. 260-267 ◽  
Author(s):  
M. M. Sale ◽  
L. Lu ◽  
I. J. Spruill ◽  
J. K. Fernandes ◽  
K. H. Lok ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
African American ◽  
African American Families ◽  
Sea Islands ◽  
Genome Wide ◽  
American Families

scholarly journals A Genome-Wide Scan for Type 2 Diabetes in African-American Families Reveals Evidence for a Locus on Chromosome 6q

Diabetes ◽  
2004 ◽  
Vol 53 (3) ◽  
pp. 830-837 ◽  
Author(s):  
M. M. Sale ◽  
B. I. Freedman ◽  
C. D. Langefeld ◽  
A. H. Williams ◽  
P. J. Hicks ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
African American ◽  
African American Families ◽  
Genome Wide ◽  
A Genome ◽  
Genome Wide Scan ◽  
American Families

Loci Contributing to Adult Height and Body Mass Index in African American Families Ascertained for Type 2 Diabetes

2005 ◽  
Vol 69 (5) ◽  
pp. 517-527 ◽  
Author(s):  
M.M. Sale ◽  
B. I. Freedman ◽  
P. J. Hicks ◽  
A. H. Williams ◽  
C. D. Langefeld ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
African American ◽  
Body Mass ◽  
Adult Height ◽  
African American Families ◽  
American Families

P1-154: GENOME-WIDE LINKAGE ANALYSES OF AFRICAN AMERICAN FAMILIES SUPPORTS EVIDENCE OF LINKAGE TO CHROMOSOME 12

2006 ◽  
Vol 14 (7S_Part_6) ◽  
pp. P336-P336
Author(s):  
Brian W. Kunkle ◽  
James Jaworski ◽  
Farid Rajabli ◽  
Larry D. Adams ◽  
Michael L. Cuccaro ◽  
...  
Keyword(s):  
African American ◽  
African American Families ◽  
Chromosome 12 ◽  
Linkage Analyses ◽  
Genome Wide ◽  
American Families

scholarly journals Polygenic Prediction of Type 2 Diabetes in Africa

2022 ◽  
Author(s):  
Tinashe Chikowore ◽  
Kenneth Ekoru ◽  
Marijana Vujkovic ◽  
Dipender Gill ◽  
Fraser Pirie ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
African American ◽  
Association Studies ◽  
Meta Analysis ◽  
Risk Scores ◽  
Genome Wide Association Studies ◽  
Data Set ◽  
Genome Wide ◽  
Design And Methods

<b>Objective. </b>Polygenic prediction of type 2 diabetes in<b> </b>continental Africans is adversely affected by the limited number of genome-wide association studies (GWAS) of type 2 diabetes from Africa and the poor transferability of European derived polygenic risk scores (PRS) in diverse ethnicities. We set out to evaluate if African American, European or multi-ethnic derived PRSs would improve polygenic prediction in continental Africans. <p><b>Research Design and Methods</b>. Using the PRSice software, ethnic-specific PRSs were computed with weights from the type 2 diabetes GWAS multi-ancestry meta-analysis of 228,499 cases and 1,178,783 controls. The South African Zulu study (1602 cases and 981 controls) was used as the target data set. Validation and assessment of the best predictive PRS association with age at diagnosis was done in the Africa America Diabetes Mellitus (AADM) study (2148 cases and 2161 controls).</p> <p> <b>Results. </b>The discriminatory ability of the African American and Multi-ethnic PRS were similar. However<b>, </b>the African American derived PRS was more transferable in all the countries represented in the AADM cohort, and predictive of type 2 diabetes in the country combined analysis compared to the European and multi-ethnic derived scores. Notably, participants in the 10<sup>th</sup> decile of this PRS had a 3.63-fold greater risk (OR 3.63; 95%CI (2.19 - 4.03), p = 2.79 x 10<sup>-17</sup>) per risk allele of developing diabetes and were diagnosed 2.6 years earlier compared to those in the first decile. </p> <p><b>Conclusions </b>African American derived PRS enhances polygenic prediction of type 2 diabetes in continental Africans. Improved representation of non-European populations (including Africans) in GWAS promises to provide better tools for precision medicine interventions in type 2 diabetes.</p>

scholarly journals Polygenic prediction of type 2 diabetes in continental Africa

2021 ◽  
Author(s):  
Tinashe Chikowore ◽  
Kenneth Ekoru ◽  
Marijana Vujkovic ◽  
Dipender Gill ◽  
Fraser Pirie ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
African American ◽  
South African ◽  
Association Studies ◽  
Risk Scores ◽  
Genome Wide Association Studies ◽  
Data Set ◽  
Genome Wide ◽  
Design And Methods

AbstractObjectivePolygenic prediction of type 2 diabetes in continental Africans is adversely affected by the limited number of genome-wide association studies (GWAS) of type 2 diabetes from Africa, and the poor transferability of European derived polygenic risk scores (PRS) in diverse ethnicities. We set out to evaluate if African American or multi-ethnic derived PRSs would improve polygenic prediction in continental Africans.Research Design and MethodsUsing the PRSice software, ethnic-specific PRSs were computed with weights from the type 2 diabetes GWAS of the Million Veteran Program (MVP) study. The South African Zulu study (1602 cases and 976 controls) was used as the target data set. Replication and assessment of the best predictive PRS association with age at diagnosis was done in the Africa America Diabetes Mellitus (AADM) study (1031 cases and 738 controls).ResultsThe African American derived PRS was more predictive of type 2 diabetes compared to the European and multi-ethnic derived scores. Notably, participants in the 10th decile of this PRS had a 3.19-fold greater risk (OR 3.19; 95%CI (1.94-5.29), p = 5.33 x10-6) of developing diabetes and were diagnosed 2.6 years earlier compared to those in the first decile.ConclusionsAfrican American derived PRS enhances polygenic prediction of type 2 diabetes in continental Africans. Improved representation of non-Europeans populations (including Africans) in GWAS, promises to provide better tools for precision medicine interventions in type 2 diabetes.

Genome wide and candidate gene studies of African American type 2 diabetes

2009 ◽  
Vol 33 (3) ◽  
pp. 193-194
Author(s):  
D.W. Bowden ◽  
N.P. Allred ◽  
C.D. Langefeld ◽  
J. Divers ◽  
B.I. Freedman ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
African American ◽  
Candidate Gene ◽  
Genome Wide ◽  
Candidate Gene Studies
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