Testing the generalizability of ancestry-specific polygenic risk scores to predict prostate cancer in sub-Saharan Africa.
Testing the generalizability of ancestry-specific polygenic risk scores to predict prostate cancer in sub-Saharan Africa.
复制标题
DOI:
10.1186/s13059-022-02766-z
复制
发表时间:
2022-09-13
期刊:
影响因子:
12.3
通讯作者:
中科院分区:
文献类型:
--
作者:
Genome-wide association studies do not always replicate well across populations, limiting the generalizability of polygenic risk scores (PRS). Despite higher incidence and mortality rates of prostate cancer in men of African descent, much of what is known about cancer genetics comes from populations of European descent. To understand how well genetic predictions perform in different populations, we evaluated test characteristics of PRS from three previous studies using data from the UK Biobank and a novel dataset of 1298 prostate cancer cases and 1333 controls from Ghana, Nigeria, Senegal, and South Africa. Allele frequency differences cause predicted risks of prostate cancer to vary across populations. However, natural selection is not the primary driver of these differences. Comparing continental datasets, we find that polygenic predictions of case vs. control status are more effective for European individuals (AUC 0.608–0.707, OR 2.37–5.71) than for African individuals (AUC 0.502–0.585, OR 0.95–2.01). Furthermore, PRS that leverage information from African Americans yield modest AUC and odds ratio improvements for sub-Saharan African individuals. These improvements were larger for West Africans than for South Africans. Finally, we find that existing PRS are largely unable to predict whether African individuals develop aggressive forms of prostate cancer, as specified by higher tumor stages or Gleason scores. Genetic predictions of prostate cancer perform poorly if the study sample does not match the ancestry of the original GWAS. PRS built from European GWAS may be inadequate for application in non-European populations and perpetuate existing health disparities. The online version contains supplementary material available at 10.1186/s13059-022-02766-z.
登录
查看更多内容
影响因子:
64.8
作者:
Bycroft C;Freeman C;Petkova D;Band G;Elliott LT;Sharp K;Motyer A;Vukcevic D;Delaneau O;O'Connell J;Cortes A;Welsh S;Young A;Effingham M;McVean G;Leslie S;Allen N;Donnelly P;Marchini J
通讯作者:
Marchini J
影响因子:
14.9
作者:
Buniello, Annalisa;MacArthur, Jacqueline A. L.;Parkinson, Helen
通讯作者:
Parkinson, Helen
影响因子:
2.8
作者:
Beebe-Dimmer, Jennifer L.;Zuhlke, Kimberly A.;Cooney, Kathleen A.
通讯作者:
Cooney, Kathleen A.
影响因子:
30.8
作者:
Conti DV;Darst BF;Moss LC;Saunders EJ;Sheng X;Chou A;Schumacher FR;Olama AAA;Benlloch S;Dadaev T;Brook MN;Sahimi A;Hoffmann TJ;Takahashi A;Matsuda K;Momozawa Y;Fujita M;Muir K;Lophatananon A;Wan P;Le Marchand L;Wilkens LR;Stevens VL;Gapstur SM;Carter BD;Schleutker J;Tammela TLJ;Sipeky C;Auvinen A;Giles GG;Southey MC;MacInnis RJ;Cybulski C;Wokołorczyk D;Lubiński J;Neal DE;Donovan JL;Hamdy FC;Martin RM;Nordestgaard BG;Nielsen SF;Weischer M;Bojesen SE;Røder MA;Iversen P;Batra J;Chambers S;Moya L;Horvath L;Clements JA;Tilley W;Risbridger GP;Gronberg H;Aly M;Szulkin R;Eklund M;Nordström T;Pashayan N;Dunning AM;Ghoussaini M;Travis RC;Key TJ;Riboli E;Park JY;Sellers TA;Lin HY;Albanes D;Weinstein SJ;Mucci LA;Giovannucci E;Lindstrom S;Kraft P;Hunter DJ;Penney KL;Turman C;Tangen CM;Goodman PJ;Thompson IM Jr;Hamilton RJ;Fleshner NE;Finelli A;Parent MÉ;Stanford JL;Ostrander EA;Geybels MS;Koutros S;Freeman LEB;Stampfer M;Wolk A;Håkansson N;Andriole GL;Hoover RN;Machiela MJ;Sørensen KD;Borre M;Blot WJ;Zheng W;Yeboah ED;Mensah JE;Lu YJ;Zhang HW;Feng N;Mao X;Wu Y;Zhao SC;Sun Z;Thibodeau SN;McDonnell SK;Schaid DJ;West CML;Burnet N;Barnett G;Maier C;Schnoeller T;Luedeke M;Kibel AS;Drake BF;Cussenot O;Cancel-Tassin G;Menegaux F;Truong T;Koudou YA;John EM;Grindedal EM;Maehle L;Khaw KT;Ingles SA;Stern MC;Vega A;Gómez-Caamaño A;Fachal L;Rosenstein BS;Kerns SL;Ostrer H;Teixeira MR;Paulo P;Brandão A;Watya S;Lubwama A;Bensen JT;Fontham ETH;Mohler J;Taylor JA;Kogevinas M;Llorca J;Castaño-Vinyals G;Cannon-Albright L;Teerlink CC;Huff CD;Strom SS;Multigner L;Blanchet P;Brureau L;Kaneva R;Slavov C;Mitev V;Leach RJ;Weaver B;Brenner H;Cuk K;Holleczek B;Saum KU;Klein EA;Hsing AW;Kittles RA;Murphy AB;Logothetis CJ;Kim J;Neuhausen SL;Steele L;Ding YC;Isaacs WB;Nemesure B;Hennis AJM;Carpten J;Pandha H;Michael A;De Ruyck K;De Meerleer G;Ost P;Xu J;Razack A;Lim J;Teo SH;Newcomb LF;Lin DW;Fowke JH;Neslund-Dudas C;Rybicki BA;Gamulin M;Lessel D;Kulis T;Usmani N;Singhal S;Parliament M;Claessens F;Joniau S;Van den Broeck T;Gago-Dominguez M;Castelao JE;Martinez ME;Larkin S;Townsend PA;Aukim-Hastie C;Bush WS;Aldrich MC;Crawford DC;Srivastava S;Cullen JC;Petrovics G;Casey G;Roobol MJ;Jenster G;van Schaik RHN;Hu JJ;Sanderson M;Varma R;McKean-Cowdin R;Torres M;Mancuso N;Berndt SI;Van Den Eeden SK;Easton DF;Chanock SJ;Cook MB;Wiklund F;Nakagawa H;Witte JS;Eeles RA;Kote-Jarai Z;Haiman CA
通讯作者:
Haiman CA
影响因子:
3.7
作者:
Geibel J;Reimer C;Weigend S;Weigend A;Pook T;Simianer H
通讯作者:
Simianer H