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GWAS Study

Heterogeneous genetic architectures of prostate cancer susceptibility in sub-Saharan Africa.

Janivara R, Chen WC, Hazra U et al.

39358599 PubMed ID
GWAS Study Type
7472 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

JR
Janivara R
CW
Chen WC
HU
Hazra U
BS
Baichoo S
AI
Agalliu I
KP
Kachambwa P
SC
Simonti CN
BL
Brown LM
TS
Tambe SP
KM
Kim MS
HM
Harlemon M
JM
Jalloh M
MD
Muzondiwa D
ND
Naidoo D
AO
Ajayi OO
SN
Snyper NY
NL
Niang L
DH
Diop H
NM
Ndoye M
MJ
Mensah JE
AA
Abrahams AOD
BR
Biritwum R
AA
Adjei AA
AA
Adebiyi AO
SO
Shittu O
OO
Ogunbiyi O
AS
Adebayo S
NM
Nwegbu MM
AH
Ajibola HO
OO
Oluwole OP
JM
Jamda MA
PA
Pentz A
HC
Haiman CA
SP
Spies PV
VD
van der Merwe A
CM
Cook MB
CS
Chanock SJ
BS
Berndt SI
WS
Watya S
LA
Lubwama A
MM
Muchengeti M
DS
Doherty S
SN
Smyth N
LD
Lounsbury D
FB
Fortier B
RT
Rohan TE
JJ
Jacobson JS
NA
Neugut AI
HA
Hsing AW
GA
Gusev A
AO
Aisuodionoe-Shadrach OI
JM
Joffe M
AB
Adusei B
GS
Gueye SM
FP
Fernandez PW
MJ
McBride J
AC
Andrews C
PL
Petersen LN
LJ
Lachance J
RT
Rebbeck TR
Chapter II

Abstract

Summary of the research findings

Men of African descent have the highest prostate cancer incidence and mortality rates, yet the genetic basis of prostate cancer in African men has been understudied. We used genomic data from 3,963 cases and 3,509 controls from Ghana, Nigeria, Senegal, South Africa and Uganda to infer ancestry-specific genetic architectures and fine-map disease associations. Fifteen independent associations at 8q24.21, 6q22.1 and 11q13.3 reached genome-wide significance, including four new associations. Intriguingly, multiple lead associations are private alleles, a pattern arising from recent mutations and the out-of-Africa bottleneck. These African-specific alleles contribute to haplotypes with odds ratios above 2.4. We found that the genetic architecture of prostate cancer differs across Africa, with effect size differences contributing more to this heterogeneity than allele frequency differences. Population genetic analyses reveal that African prostate cancer associations are largely governed by neutral evolution. Collectively, our findings emphasize the utility of conducting genetic studies that use diverse populations.

3,963 Sub-Saharan African ancestry cases, 3,509 Sub-Saharan African ancestry controls

Chapter III

Study Statistics

Key metrics and study information

7472
Total Participants
GWAS
Study Type
No
Replicated
Sub-Saharan African
Ancestry
Senegal, Uganda, South Africa, Ghana, Nigeria
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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